Strategy Framework: 37 Strategies Unified with RM & PS BTCEURStrategy Framework: 37 Strategies Unified with Risk Management and Position Sizing
This comprehensive framework integrates over 37 independent strategies into a single, powerful trading system. Each strategy contributes its unique market perspective, culminating in a holistic decision-making process. The framework is further enhanced with sophisticated risk management and position sizing techniques.
Key Strategies Include:
• Moving average analysis
• Market structure evaluation
• Percentage rank calculations
• Sine wave correlation
• Fourier Frequency Transform (FFT) for signal composition analysis
• Bayesian statistical methods
• Seasonality patterns
• Signal-to-noise ratio assessment
• Horizontal & Indecision levels identification
• Trendlines and channels recognition
• Various oscillator-based strategies
• Open interest analysis
• Volume and volatility measurements
This diverse array of strategies provides a multi-faceted view of the asset, offering a clear and comprehensive understanding of market dynamics.
Optimization and Implementation:
• Each strategy is designed for easy optimization, with a maximum of 4 parameters.
• All strategies produce consistent signal types, which are aggregated for final market direction decisions.
• Individual optimization of each strategy is performed using the Zorro Platform, a professional C++ based tool.
• All strategies are tested to work by themselves with Walk-Forward back testing
• Strategies that don't enhance market regime definition are excluded, ensuring efficiency.
Two-Tiered Approach:
1. Market Regime Identification: The combined output of all strategies determines the market regime, visually represented by a color-coded cloud.
2. Trade Execution: Based on the identified regime, the system applies different entry and exit rules, employing trend-following in bull markets and mean reversion in bear markets.
This framework is optimized for cryptocurrencies, including BTC and ETH and others, offering a robust solution for trading in these volatile markets.
The color of the cloud encodes the market regime as determined by the 37 strategies, guiding the application of distinct trading rules for bull and bear markets.
This invitation-only TradingView script represents a culmination of extensive research and optimization, designed to provide serious traders with a powerful tool for navigating the complex cryptocurrency markets.
The strategy comes pre-configured with optimized parameters by default, so there's no need to make any adjustments. However, it’s important to use the timeframes and exchanges selected on screen . Also, a Premium account with 20.000 bars is needed since since starting points are important for the parameter optimizations. If you have any questions or concerns about the strategy, feel free to reach out.
For automation, I recommend using a tool like Autoview . The strategy is fully compatible with automated trading; you just need to select your exchange and set the maximum order size you're comfortable trading.
Free Month for Testing:
You are eligible for a free one-month trial to test the strategy before committing. This allows you to fully explore its capabilities without any immediate cost.
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Important Information:
This is a premium script with access granted on an invite-only basis.
To request access or if you have further questions, please send me a direct message. There is a free month allowance for testing purposes.
Please note that this script involves complex calculations, and on rare occasions, you may encounter an error message from TradingView stating, "Calculation Takes Too Long." This is usually due to a temporary issue with server resources. If this happens, simply modify any parameter of the indicator and revert it back—this should resolve the issue.
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General Disclaimer:
Trading stocks, futures, Forex, options, ETFs, cryptocurrencies, or any other financial instrument involves significant risks and rewards. You must be fully aware of the risks involved and be willing to accept them before participating in these markets.
Do not trade with money you cannot afford to lose. This communication is not a solicitation or an offer to buy or sell any financial instrument.
No guarantees are made regarding potential profits or losses from any account. Past performance of any trading strategy or methodology is not necessarily indicative of future results.
Tradingsystem
Hourly Trading System (Zeiierman)█ Overview
The Hourly Trading System (Zeiierman) is designed to enhance your trading by highlighting critical price levels and trends on an hourly basis. This indicator plots the open prices of hourly and 4-hour candles, visualizes retests, displays average price lines, and overlays higher timeframe candlesticks. It is particularly beneficial for intraday traders seeking to capitalize on short-term price movements and volume patterns.
█ How It Works
This indicator works by plotting significant price levels and zones based on hourly and 4-hour candle opens. It also includes functionalities for identifying retests of these levels, calculating and displaying average prices, and showing high and low labels for each hour.
█ Timeframe
The Hourly Trading System is designed to be used on the 1-minute or 5-minute timeframe. This system is tailored for intraday trading, allowing traders to find optimal entries around hourly opening levels and providing an easy method to identify the hourly trend. It works effectively on any market.
█ How to Use
Trend Analysis
Quickly gauge where the current price stands relative to key hourly and 4-hour levels. The plotted lines and zones serve as potential support and resistance areas, helping traders identify crucial points for entry or exit.
Utilize the 1-hour average and higher timeframe candles to understand the overall market trend. Aligning intraday strategies with larger trends can enhance trading decisions.
Use the bar coloring to quickly gauge the 1-hour trend on a lower timeframe. The bar colors indicate whether the hourly trend is bullish (green) or bearish (red), helping traders make quicker decisions in alignment with the overall trend.
Retest Identification
Enable retest signals to see where the price retested the hourly open levels. These retest points often signal strong price reactions, offering opportunities for trades based on support/resistance flips.
One effective strategy to incorporate is looking for price flips when a new hour starts. This approach involves monitoring price action at the beginning of each hour. If the price breaks and retests the hourly open level with strong momentum, it could indicate a potential trend reversal or continuation. This strategy is effective in volatile markets where price movements are significant at the start of each new hour.
Liquidity Sweep Strategy
Another common and effective strategy is the liquidity sweep. This involves identifying key levels where liquidity is likely to accumulate, such as previous hour highs and lows, and observing how the price interacts with these price levels. When the price sweeps through these levels, triggering stop-loss orders or pending orders, it often results in a sharp price movement followed by a reversal. Traders can capitalize on these movements by entering trades in the direction of the reversal once the liquidity sweep has occurred.
Equal Highs and Lows Strategy
The Equal Highs and Lows strategy leverages the concept of identifying levels where the price forms multiple highs or lows at the same level over different hourly periods. These equal highs and lows often indicate strong support or resistance levels where liquidity is accumulated. When the price approaches these levels, it is likely to trigger stop-loss orders and lead to significant price movements. Traders can look for breakouts or reversals around these levels to enter trades with higher probability setups.
█ Settings
Zone Width: Specifies the width of the zone around the 1-Hour Open as a percentage. Adjust this to widen or narrow the zone.
Show Retests: Enables or disables the display of retest markers. Retest markers show where the price has retested the 1-Hour Open line.
Number of Retests: Sets the number of retests to display. Adjust this to see more or fewer retest markers.
Volume Filter: Enables or disables the volume filter for retests. Use this to highlight retests with significant volume.
Volume Filter Length: Sets the length of the volume filter, smoothing the volume data to reduce noise.
1-Hour Average Line: Enables or disables the 1-hour average price line. This line shows the average price over the past hour.
Hourly High & Low Labels: Enables or disables the display of hourly high and low labels, marking the highest and lowest prices within each hour.
Candlesticks: Enables or disables the display of candlesticks on the chart, providing a detailed view of price action.
Bar Color: Enables or disables bar coloring based on price direction, with up bars in green and down bars in red.
Timeframe: Sets the timeframe for higher timeframe candles. Adjust this to match the period you want to analyze.
Number of Candles: Sets the number of higher timeframe candles to display. Increase this to see more candles on the chart.
Location: Sets the location for higher timeframe candles, allowing you to position them left or right on the chart.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Swing based support and resistanceThis indicator provided here is for identifying swing-based support and resistance levels. It uses two swing lengths, which can be adjusted by the user, to identify swings in the price data. For each swing length, the script calculates the support level as the low of the swing if the trend is up, or the high of the swing if the trend is down. It then plots the support and resistance levels on the chart, along with buy and sell signals.
The buy and sell signals are generated by comparing the current closing price to the support and resistance levels. If the closing price is above the support level, the script plots a buy signal. If the closing price is below the level, the script plots a sell signal.
To use the script, you would first need to add it to your trading platform. Once it is added, you can configure the swing lengths and other parameters to suit your trading style. You can then apply the script to a chart and begin using the support and resistance levels and buy and sell signals to make trading decisions.
Points to be noted while using the indicator:
# The script is designed to be used on a daily chart. However, you can also use it on other timeframes, such as weekly or monthly charts.
# The swing lengths that you choose will depend on your trading style. If you are a swing trader, you may want to use longer swing lengths. If you are a day trader, you may want to use shorter swing lengths.
# Remember, the support and resistance levels generated by the script are not exact price points. They are rather zones where demand and supply can change. Therefore, you should always use other technical analysis tools and indicators to confirm your trading decisions.
# Overall, the script is a useful tool for identifying swing-based support and resistance levels. It can be used by traders of all experience levels to generate trading ideas and improve their trading performance.
To use the swing-based support and resistance indicator with respect to price, you can follow these steps:
=> Identify the support and resistance levels that have been generated by the indicator.
=> Look for price action that is taking place near these levels.
=> If the price is above the level, look for bullish reversals or continuations.
=> If the price is below the level, look for bearish reversals or continuations.
For Example,
=> Bullish reversal: The price is above the level and forms a bullish candlestick pattern, such as a bullish hammer or engulfing pattern.
=> Bullish continuation: The price is above the level and bounces off of the level.
=> Bearish reversal: The price is below the level and forms a bearish candlestick pattern, such as a bearish hammer or engulfing pattern.
=> Bearish continuation: The price is below the level and rejects the level.
$$ You can also use the indicator to identify potential trading entry and exit points. For example, you could enter a long trade when the price breaks above a resistance level and exit the trade when the price retraces to the resistance level. Or, you could enter a short trade when the price breaks below a support level and exit the trade when the price rallies to the support level.
This swing-based support and resistance indicator is just one tool that you can use to trade. You should always use other technical analysis tools and indicators, such as price action and trend analysis, to confirm your trading decisions.
Additionally:
=> Be aware of the overall trend direction. If the trend is up, you should be looking for bullish reversals or continuations. If the trend is down, you should be looking for bearish reversals or continuations.
=> Use a stop loss order to limit your risk on each trade.
=> Consider using a position sizing strategy to manage your risk.
=> Do your own research and backtest any trading strategy before using it in a live trading environment.
Follow us for timely updates regarding future indicators and give it a like if you appreciate the indicator.
Bollinger Bands - Breakout StrategyThe Bollinger Bands - Breakout Strategy is a trend-following optimized for short-term trading in the crypto market. This strategy employs the Bollinger Bands, a widely recognized technical indicator, as its primary instrument for pinpointing potential trades. It is capable of executing both long and short positions, depending on whether the market is in a spot or futures, and is particularly effective in trending markets.
The strategy boasts a high degree of configurability, allowing users to set the Bollinger Bands period and deviation, trend filter, volatility filter, trade direction filter, rate of change filter, and date filter. Furthermore, it offers options for Take Profit, Stop Loss, and Trailing Stop for both long and short positions, ensuring a comprehensive risk management approach. The inclusion of a maximum intraday loss feature adds another layer of protection, making this strategy a valuable tool for traders seeking a professional and adaptable trading system.
Name : Bollinger Bands - Breakout Strategy
Category : Trend Follower based on Bollinger Bands
Operating mode : Long and Short on Futures or Long on Spot
Trade duration : Intraday
Timeframe : 2H, 3H, 4H, 5H
Market : Crypto
Suggested usage : Trending Markets
Entry : When the price crosses above or below the Bollinger Bands
Exit : Opposite Cross or Profit target, Trailing stop or Stop loss
Configuration :
- Bollinger Bands period and deviation
- Trend Filter
- Volatility Filter
- Trade direction filter
- Rate of Change filter
- Date Filter (for backtesting purposes)
- Take Profit, Stop Loss and Trailing Stop for long and short positions
- Risk Management: Max Intraday Loss
Backtesting :
⁃ Exchange: BINANCE
⁃ Pair: BTCUSDT.P
⁃ Timeframe: 4H
⁃ Fee: 0.025%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start : 2019-09-19 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Credits :
- LucF of Pine Coders for f_security function to avoid repainting using security.
- QuantNomad for Monthly Table.
Disclaimer : Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
Yesterday’s High Breakout - Trend Following StrategyYesterday’s High Breakout it is a trading system based on the analysis of yesterday's highs, it works in trend-following mode therefore it opens a long position at the breakout of yesterday's highs even if they occur several times in one day.
There are several methods for exiting a trade, each with its own unique strategy. The first method involves setting Take-Profit and Stop-Loss percentages, while the second utilizes a trailing-stop with a specified offset value. The third method calls for a conditional exit when the candle closes below a reference EMA.
Additionally, operational filters can be applied based on the volatility of the currency pair, such as calculating the percentage change from the opening or incorporating a gap to the previous day's high levels. These filters help to anticipate or delay entry into the market, mitigating the risk of false breakouts.
In the specific case of NULS, a 9% Take-Profit and a 3% Stop-Loss were set, with an activated trailing-stop percentage. To postpone entry and avoid false breakouts, a 1% gap was added to the price of yesterday's highs.
Name : Yesterday's High Breakout - Trend Follower Strategy
Author : @tumiza999
Category : Trend Follower, Breakout of Yesterday's High.
Operating mode : Spot or Futures (only long).
Trade duration : Intraday.
Timeframe : 30M, 1H, 2H, 4H
Market : Crypto
Suggested usage : Short-term trading, when the market is in trend and it is showing high volatility.
Entry : When there is a breakout of Yesterday's High.
Exit : Profit target or Trailing stop, Stop loss or Crossunder EMA.
Configuration :
- Gap to anticipate or postpone the entry before or after the identified level
- Rate of Change for Entry Condition
- Take Profit, Stop Loss and Trailing Stop
- EMA length
Backtesting :
⁃ Exchange: BINANCE
⁃ Pair: NULSUSDT
⁃ Timeframe: 2H
⁃ Fee: 0.075%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start : 2018-07-26 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Credits : LucF for Pine Coders (f_security function to avoid repainting using security)
Disclaimer : Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
GKD-C Double Smoothed Stochastic [Loxx]Giga Kaleidoscope Double Smoothed Stochastic Confirmation is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is an NNFX algorithmic trading strategy?
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend (such as "Baseline" shown on the chart above)
3. Confirmation 1 - a technical indicator used to identify trends. This should agree with the "Baseline"
4. Confirmation 2 - a technical indicator used to identify trends. This filters/verifies the trend identified by "Baseline" and "Confirmation 1"
5. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown.
6. Exit - a technical indicator used to determine when a trend is exhausted.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 module (Confirmation 1/2, Numbers 3 and 4 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 5 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 6 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Leader Exponential Moving Average as shown on chart
Volatility/Volume: Volatility Ratio as shown on chart
Confirmation 1: Double Smoothed Stochastic as shown on the chart above
Confirmation 2: Jurik Turning Point Oscillator
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Now that you have a general understanding of the NNFX algorithm and the GKD trading system. Let's go over what's inside the GKD-E Double Smoothed Stochastic itself.
What is Double Smoothed Stochastic?
The Double Smoothed Stochastic demonstrates smoother indicators and therefore gives fewer false signals in comparison with the traditional oscillator.
The indicator is written in accordance with the description given in the book by Joe Dinapoli "Trading With DiNapoli Levels". This oscillator smoothing method leads to a filtering of the most "noise" component of the price movement.
The Double Smoothed Stochastic indicator can be used in the strategies oriented to a standard stochastic. However, the stronger smoothing can lead to the loss of an array of signals. It is recommended to apply any trend indicator for more efficient use of the indicator and its signals filtering.
Signals
A GKD-C Confirmation indicator can be used as either a Confirmation 1, Confirmation 2, or Solo Confirmation indicator. See step 3 & 4 of the NNFX algorithm above to understand how this indicator fits into the GKD trading system. The Solo Confirmation setting allows you to test this indicator by itself without an additional GKD-C indicator present in the GKD protocol chain.
On the chart shown above, this indicator is shown as GKD-C Double Smoothed Stochastic and is set to Solo Confirmation. The GKD-B Baseline, GKD-V Volatility Ratio, and this indicator satisfy the first three steps in the GKD trading system chain: GKD-B => GKD-V => GKD-C(solo).
The signals from each of these settings are as follows:
Confirmation 1 Signal
Initial Long (L): Double Smoothed Stochastic crosses-up over middle-line*
Initial Short (S): Double Smoothed Stochastic crosses-down under middle-line*
Continuation Long (CL): Double Smoothed Stochastic is over middle-line, then crosses-up over the signal**
Continuation Short (CS): Double Smoothed Stochastic is under middle-line, then crosses-down under the signal**
Post Baseline Cross Long (BL): Double Smoothed Stochastic crossed-up over middle-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars***
Post Baseline Cross Short (BS): Double Smoothed Stochastic crossed-down under middle-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars***
BL Recovery Continuation Long (RL): Double Smoothed Stochastic is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, Double Smoothed Stochastic crosses-up over the signal****
BL Recovery Continuation Short (RS): Double Smoothed Stochastic is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, Double Smoothed Stochastic crosses-down under the signal****
*All signals are shown regardless of Baseline and Volatility/Volume qualification
**All signals are shown regardless of Baseline qualification; however, when Baseline filter is active, only true continuations are shown. When the Baseline filter is not active, then all continuations are shown. True continuations are when the Baseline is active and maintains its uptrend/downtrend after the initial cross-up/cross-down over the middle-line respectively. This means that if the Baseline trend then moves against the Double Smoothed Stochastic then any continuation signals are voided until another initial Long/Short. All continuations are will either show as regular continuations or be converted into recovery continuations
***All signals are shown regardless of Volatility/Volume qualification
****When the Baseline filter is active, some regular continuations are converted to recovery continuations and are shown. When the Baseline filter is not active, then these signals are not shown.
Confirmation 2 Signal
Initial Long (L): Double Smoothed Stochastic crosses-up over middle-line*
Initial Short (S): Double Smoothed Stochastic crosses-down under middle-line*
Continuation Long (CL): Double Smoothed Stochastic is over middle-line, then crosses-up over the signal**
Continuation Short (CS): Double Smoothed Stochastic is under middle-line, then crosses-down under the signal**
Post Baseline Cross Long (BL): Double Smoothed Stochastic crossed-up over middle-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars***
Post Baseline Cross Short (BS): Double Smoothed Stochastic crossed-down under middle-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars***
BL Recovery Continuation Long (RL): Double Smoothed Stochastic is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while Double Smoothed Stochastic is still above middle-line; then, Double Smoothed Stochastic crosses-up over the signal****
BL Recovery Continuation Short (RS): Double Smoothed Stochastic is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while Double Smoothed Stochastic is still below middle-line; then, Double Smoothed Stochastic crosses-down under the signal****
*All signals are shown regardless of Baseline and Volatility/Volume qualification
**All signals are shown regardless of Baseline qualification; however, when Baseline filter is active, only true continuations are shown. When the Baseline filter is not active, then all continuations are shown. True continuations are when the Baseline is active and maintains its uptrend/downtrend after the initial cross-up/cross-down over the middle-line respectively. This means that if the Baseline trend then moves against the Double Smoothed Stochastic then any continuation signals are voided until another initial Long/Short. All continuations are will either show as regular continuations or be converted into recovery continuations
***All signals are shown regardless of Volatility/Volume qualification
****When the Baseline filter is active, some regular continuations are converted to recovery continuations and are shown. When the Baseline filter is not active, then these signals are not shown.
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Long (L): The imported GKD-C Confirmation 1 indicator crosses-up over middle-line, then Double Smoothed Stochastic crosses-up over the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Initial Short (S): The imported GKD-C Confirmation 1 indicator crosses-down under middle-line, then Double Smoothed Stochastic crosses-down under the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Continuation Long Confirmation 1 (CL): The imported GKD-C Confirmation 1 indicator is over middle-line, then crosses-up over the signal
Continuation Short Confirmation 1 (CS): The imported GKD-C Confirmation 1 indicator is under middle-line, then crosses-down under the signal
Post Baseline Cross Long (BL): The imported GKD-C Confirmation 1 crossed-up over middle-line but Baseline is still in downtrend; and Double Smoothed Stochastic crossed-up over middle-line on the same bar or XX bars in the future but Baseline is still in downtrend; then Baseline turns to uptrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Post Baseline Cross Short (BS): The imported GKD-C Confirmation 1 crossed-down under middle-line but Baseline is still in uptrend; and, Double Smoothed Stochastic crossed-down under middle-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
BL Recovery Continuation Long (RL): The imported GKD-C Confirmation 1 indicator is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while Double Smoothed Stochastic is still above middle-line; then, The imported GKD-C Confirmation 1 crosses-up over the signal
BL Recovery Continuation Short (RS): The imported GKD-C Confirmation 1 indicator is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while Double Smoothed Stochastic is still below middle-line; then, The imported GKD-C Confirmation 1 crosses-down under the signal
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 2
Initial Long (L): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Short (S): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Continuation Long Confirmation 2 (CL): Double Smoothed Stochastic is over middle-line, then crosses-up over the signal
Continuation Short Confirmation 2 (CS): Double Smoothed Stochastic is under middle-line, then crosses-down under the signal
Post Baseline Cross Long (BL): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Post Baseline Cross Short (BS): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
BL Recovery Continuation Long (RL): Double Smoothed Stochastic is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, Double Smoothed Stochastic crosses-up over the signal
BL Recovery Continuation Short (RS): Double Smoothed Stochastic is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, Double Smoothed Stochastic crosses-down under the signal
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Both
Initial Long (L): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Short (S): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Continuation Long Confirmation 2 (CL): The imported GKD-C Confirmation 1 indicator is over middle-line, then crosses-up over the signal; Double Smoothed Stochastic is over middle-line, then crosses-up over the signal within "Number of Bars Confirmation" bars in the future
Continuation Short Confirmation 2 (CS): The imported GKD-C Confirmation 1 indicator is under middle-line, then crosses-down under the signal; Double Smoothed Stochastic is under middle-line, then crosses-down under the signal within "Number of Bars Confirmation" bars in the future
Post Baseline Cross Long (BL): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Post Baseline Cross Short (BS): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
BL Recovery Continuation Long (RL): The imported GKD-C Confirmation 1 indicator is above middle-line and Double Smoothed Stochastic is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, the imported GKD-C Confirmation 1 crosses-up over its signal, and Double Smoothed Stochastic crosses-up over its signal within "Number of Bars Confirmation" bars in the future
BL Recovery Continuation Short (RS): The imported GKD-C Confirmation 1 indicator is below middle-line and Double Smoothed Stochastic is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, the imported GKD-C Confirmation 1 crosses-down under its signal, and Double Smoothed Stochastic crosses-down under its signal within "Number of Bars Confirmation" bars in the future
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Both; Confirmation Type: (continuations don't change from the variations above)
Initial Long (L): The imported GKD-C Confirmation 1 indicator crosses-up over middle-line, then Double Smoothed Stochastic crosses-up over the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below); OR, Double Smoothed Stochastic crosses-up over middle-line, then the imported GKD-C Confirmation 1 indicator crosses-up over the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Initial Short (S): The imported GKD-C Confirmation 1 indicator crosses-down under middle-line, then Double Smoothed Stochastic crosses-down under the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below); OR, Double Smoothed Stochastic crosses-down under middle-line, then the imported GKD-C Confirmation 1 indicator crosses-down under the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Post Baseline Cross Long (BL): The imported GKD-C Confirmation 1 crossed-down under middle-line but Baseline is still in uptrend; and, Double Smoothed Stochastic crossed-down under middle-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below); OR, Double Smoothed Stochastic crossed-down under middle-line but Baseline is still in uptrend; and, the imported GKD-C Confirmation 1 crossed-down under middle-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Post Baseline Cross Short (BS): The imported GKD-C Confirmation 1 crossed-down under middle-line but Baseline is still in uptrend; and, Double Smoothed Stochastic crossed-down under middle-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below); OR, Double Smoothed Stochastic crossed-down under middle-line but Baseline is still in uptrend; and, the imported GKD-C Confirmation 1 crossed-down under middle-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Solo Confirmation Signals
Initial Long (L): Double Smoothed Stochastic crosses-up over middle-line
Initial Short (S): Double Smoothed Stochastic crosses-down under middle-line
Continuation Long (CL): Double Smoothed Stochastic is over middle-line, then crosses-up over the signal
Continuation Short (CS): Double Smoothed Stochastic is under middle-line, then crosses-down under the signal
Post Baseline Cross Long (BL): Double Smoothed Stochastic crossed-up over middle-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars
Post Baseline Cross Short (BS): Double Smoothed Stochastic crossed-down under middle-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars
BL Recovery Continuation Long (RL): Double Smoothed Stochastic above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while Double Smoothed Stochastic is still above middle-line
BL Recovery Continuation Short (RS): Double Smoothed Stochastic below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while Double Smoothed Stochastic is still below middle-line
X-bar Rule settings
This rule only applies when this indicator "Confirmation Type" set to "Confirmation 2"
Requirements
Inputs: Confirmation 1 and Solo Confirmation: GKD-V Volatility/Volume indicator; Confirmation 2: GKD-C Confirmation indicator
Output: Confirmation 2 and Solo Confirmation: GKD-E Exit indicator; Confirmation 1: GKD-C Confirmation indicator
Additional features will be added in future releases.
This indicator is only available to ALGX Trading VIP group members . You can see the Author's Instructions below to get more information on how to get access.
GKD-C DiNapoli Stochastic [Loxx]Giga Kaleidoscope DiNapoli Stochastic Confirmation is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is an NNFX algorithmic trading strategy?
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend (such as "Baseline" shown on the chart above)
3. Confirmation 1 - a technical indicator used to identify trends. This should agree with the "Baseline"
4. Confirmation 2 - a technical indicator used to identify trends. This filters/verifies the trend identified by "Baseline" and "Confirmation 1"
5. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown.
6. Exit - a technical indicator used to determine when a trend is exhausted.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 module (Confirmation 1/2, Numbers 3 and 4 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 5 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 6 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Leader Exponential Moving Average as shown on chart
Volatility/Volume: Volatility Ratio as shown on chart
Confirmation 1: DiNapoli Stochastic as shown on the chart above
Confirmation 2: Jurik Turning Point Oscillator
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Now that you have a general understanding of the NNFX algorithm and the GKD trading system. Let's go over what's inside the GKD-E DiNapoli Stochastic itself.
What is DiNapoli Stochastic?
The DiNapoli Stochastic demonstrates smoother indicators and therefore gives fewer false signals in comparison with the traditional oscillator.
The indicator is written in accordance with the description given in the book by Joe Dinapoli "Trading With DiNapoli Levels". This oscillator smoothing method leads to a filtering of the most "noise" component of the price movement.
The DiNapoli Stochastic indicator can be used in the strategies oriented to a standard stochastic. However, the stronger smoothing can lead to the loss of an array of signals. It is recommended to apply any trend indicator for more efficient use of the indicator and its signals filtering.
Signals
A GKD-C Confirmation indicator can be used as either a Confirmation 1, Confirmation 2, or Solo Confirmation indicator. See step 3 & 4 of the NNFX algorithm above to understand how this indicator fits into the GKD trading system. The Solo Confirmation setting allows you to test this indicator by itself without an additional GKD-C indicator present in the GKD protocol chain.
On the chart shown above, this indicator is shown as GKD-C DiNapoli Stochastic and is set to Solo Confirmation. The GKD-B Baseline, GKD-V Volatility Ratio, and this indicator satisfy the first three steps in the GKD trading system chain: GKD-B => GKD-V => GKD-C(solo).
The signals from each of these settings are as follows:
Confirmation 1 Signal
Initial Long (L): DiNapoli Stochastic crosses-up over middle-line*
Initial Short (S): DiNapoli Stochastic crosses-down under middle-line*
Continuation Long (CL): DiNapoli Stochastic is over middle-line, then crosses-up over the signal**
Continuation Short (CS): DiNapoli Stochastic is under middle-line, then crosses-down under the signal**
Post Baseline Cross Long (BL): DiNapoli Stochastic crossed-up over middle-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars***
Post Baseline Cross Short (BS): DiNapoli Stochastic crossed-down under middle-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars***
BL Recovery Continuation Long (RL): DiNapoli Stochastic is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, DiNapoli Stochastic crosses-up over the signal****
BL Recovery Continuation Short (RS): DiNapoli Stochastic is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, DiNapoli Stochastic crosses-down under the signal****
*All signals are shown regardless of Baseline and Volatility/Volume qualification
**All signals are shown regardless of Baseline qualification; however, when Baseline filter is active, only true continuations are shown. When the Baseline filter is not active, then all continuations are shown. True continuations are when the Baseline is active and maintains its uptrend/downtrend after the initial cross-up/cross-down over the middle-line respectively. This means that if the Baseline trend then moves against the DiNapoli Stochastic then any continuation signals are voided until another initial Long/Short. All continuations are will either show as regular continuations or be converted into recovery continuations
***All signals are shown regardless of Volatility/Volume qualification
****When the Baseline filter is active, some regular continuations are converted to recovery continuations and are shown. When the Baseline filter is not active, then these signals are not shown.
Confirmation 2 Signal
Initial Long (L): DiNapoli Stochastic crosses-up over middle-line*
Initial Short (S): DiNapoli Stochastic crosses-down under middle-line*
Continuation Long (CL): DiNapoli Stochastic is over middle-line, then crosses-up over the signal**
Continuation Short (CS): DiNapoli Stochastic is under middle-line, then crosses-down under the signal**
Post Baseline Cross Long (BL): DiNapoli Stochastic crossed-up over middle-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars***
Post Baseline Cross Short (BS): DiNapoli Stochastic crossed-down under middle-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars***
BL Recovery Continuation Long (RL): DiNapoli Stochastic is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while DiNapoli Stochastic is still above middle-line; then, DiNapoli Stochastic crosses-up over the signal****
BL Recovery Continuation Short (RS): DiNapoli Stochastic is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while DiNapoli Stochastic is still below middle-line; then, DiNapoli Stochastic crosses-down under the signal****
*All signals are shown regardless of Baseline and Volatility/Volume qualification
**All signals are shown regardless of Baseline qualification; however, when Baseline filter is active, only true continuations are shown. When the Baseline filter is not active, then all continuations are shown. True continuations are when the Baseline is active and maintains its uptrend/downtrend after the initial cross-up/cross-down over the middle-line respectively. This means that if the Baseline trend then moves against the DiNapoli Stochastic then any continuation signals are voided until another initial Long/Short. All continuations are will either show as regular continuations or be converted into recovery continuations
***All signals are shown regardless of Volatility/Volume qualification
****When the Baseline filter is active, some regular continuations are converted to recovery continuations and are shown. When the Baseline filter is not active, then these signals are not shown.
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Long (L): The imported GKD-C Confirmation 1 indicator crosses-up over middle-line, then DiNapoli Stochastic crosses-up over the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Initial Short (S): The imported GKD-C Confirmation 1 indicator crosses-down under middle-line, then DiNapoli Stochastic crosses-down under the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Continuation Long Confirmation 1 (CL): The imported GKD-C Confirmation 1 indicator is over middle-line, then crosses-up over the signal
Continuation Short Confirmation 1 (CS): The imported GKD-C Confirmation 1 indicator is under middle-line, then crosses-down under the signal
Post Baseline Cross Long (BL): The imported GKD-C Confirmation 1 crossed-up over middle-line but Baseline is still in downtrend; and DiNapoli Stochastic crossed-up over middle-line on the same bar or XX bars in the future but Baseline is still in downtrend; then Baseline turns to uptrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Post Baseline Cross Short (BS): The imported GKD-C Confirmation 1 crossed-down under middle-line but Baseline is still in uptrend; and, DiNapoli Stochastic crossed-down under middle-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
BL Recovery Continuation Long (RL): The imported GKD-C Confirmation 1 indicator is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while DiNapoli Stochastic is still above middle-line; then, The imported GKD-C Confirmation 1 crosses-up over the signal
BL Recovery Continuation Short (RS): The imported GKD-C Confirmation 1 indicator is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while DiNapoli Stochastic is still below middle-line; then, The imported GKD-C Confirmation 1 crosses-down under the signal
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 2
Initial Long (L): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Short (S): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Continuation Long Confirmation 2 (CL): DiNapoli Stochastic is over middle-line, then crosses-up over the signal
Continuation Short Confirmation 2 (CS): DiNapoli Stochastic is under middle-line, then crosses-down under the signal
Post Baseline Cross Long (BL): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Post Baseline Cross Short (BS): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
BL Recovery Continuation Long (RL): DiNapoli Stochastic is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, DiNapoli Stochastic crosses-up over the signal
BL Recovery Continuation Short (RS): DiNapoli Stochastic is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, DiNapoli Stochastic crosses-down under the signal
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Both
Initial Long (L): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Short (S): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Continuation Long Confirmation 2 (CL): The imported GKD-C Confirmation 1 indicator is over middle-line, then crosses-up over the signal; DiNapoli Stochastic is over middle-line, then crosses-up over the signal within "Number of Bars Confirmation" bars in the future
Continuation Short Confirmation 2 (CS): The imported GKD-C Confirmation 1 indicator is under middle-line, then crosses-down under the signal; DiNapoli Stochastic is under middle-line, then crosses-down under the signal within "Number of Bars Confirmation" bars in the future
Post Baseline Cross Long (BL): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Post Baseline Cross Short (BS): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
BL Recovery Continuation Long (RL): The imported GKD-C Confirmation 1 indicator is above middle-line and DiNapoli Stochastic is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, the imported GKD-C Confirmation 1 crosses-up over its signal, and DiNapoli Stochastic crosses-up over its signal within "Number of Bars Confirmation" bars in the future
BL Recovery Continuation Short (RS): The imported GKD-C Confirmation 1 indicator is below middle-line and DiNapoli Stochastic is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, the imported GKD-C Confirmation 1 crosses-down under its signal, and DiNapoli Stochastic crosses-down under its signal within "Number of Bars Confirmation" bars in the future
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Both; Confirmation Type: (continuations don't change from the variations above)
Initial Long (L): The imported GKD-C Confirmation 1 indicator crosses-up over middle-line, then DiNapoli Stochastic crosses-up over the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below); OR, DiNapoli Stochastic crosses-up over middle-line, then the imported GKD-C Confirmation 1 indicator crosses-up over the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Initial Short (S): The imported GKD-C Confirmation 1 indicator crosses-down under middle-line, then DiNapoli Stochastic crosses-down under the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below); OR, DiNapoli Stochastic crosses-down under middle-line, then the imported GKD-C Confirmation 1 indicator crosses-down under the middle-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Post Baseline Cross Long (BL): The imported GKD-C Confirmation 1 crossed-down under middle-line but Baseline is still in uptrend; and, DiNapoli Stochastic crossed-down under middle-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below); OR, DiNapoli Stochastic crossed-down under middle-line but Baseline is still in uptrend; and, the imported GKD-C Confirmation 1 crossed-down under middle-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Post Baseline Cross Short (BS): The imported GKD-C Confirmation 1 crossed-down under middle-line but Baseline is still in uptrend; and, DiNapoli Stochastic crossed-down under middle-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below); OR, DiNapoli Stochastic crossed-down under middle-line but Baseline is still in uptrend; and, the imported GKD-C Confirmation 1 crossed-down under middle-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Solo Confirmation Signals
Initial Long (L): DiNapoli Stochastic crosses-up over middle-line
Initial Short (S): DiNapoli Stochastic crosses-down under middle-line
Continuation Long (CL): DiNapoli Stochastic is over middle-line, then crosses-up over the signal
Continuation Short (CS): DiNapoli Stochastic is under middle-line, then crosses-down under the signal
Post Baseline Cross Long (BL): DiNapoli Stochastic crossed-up over middle-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars
Post Baseline Cross Short (BS): DiNapoli Stochastic crossed-down under middle-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars
BL Recovery Continuation Long (RL): DiNapoli Stochastic above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while DiNapoli Stochastic is still above middle-line
BL Recovery Continuation Short (RS): DiNapoli Stochastic below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while DiNapoli Stochastic is still below middle-line
X-bar Rule settings
This rule only applies when this indicator "Confirmation Type" set to "Confirmation 2"
Requirements
Inputs: Confirmation 1 and Solo Confirmation: GKD-V Volatility/Volume indicator; Confiration 2: GKD-C Confirmation indicator
Output: Confirmation 2 and Solo Confirmation: GKD-E Exit indicator; Confiration 1: GKD-C Confirmation indicator
Additional features will be added in future releases.
This indicator is only available to ALGX Trading VIP group members . You can see the Author's Instructions below to get more information on how to get access.
GKD-C Universal Oscillator [Loxx]Giga Kaleidoscope Universal Oscillator Confirmation is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is an NNFX algorithmic trading strategy?
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend (such as "Baseline" shown on the chart above)
3. Confirmation 1 - a technical indicator used to identify trends. This should agree with the "Baseline"
4. Confirmation 2 - a technical indicator used to identify trends. This filters/verifies the trend identified by "Baseline" and "Confirmation 1"
5. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown.
6. Exit - a technical indicator used to determine when a trend is exhausted.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 module (Confirmation 1/2, Numbers 3 and 4 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 5 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 6 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Volatility Ratio
Confirmation 1: Universal Oscillator as shown on the chart above
Confirmation 2: Vortex
Exit: Universal Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Now that you have a general understanding of the NNFX algorithm and the GKD trading system. Let's go over what's inside the GKD-E Universal Oscillator itself.
What is Universal Oscillator?
In his article, "Whiter is Brighter," Dr. Ehlers discusses that market data is akin to "pink noise" (a scientific term that refers to a type of noise where the power spectral density is stronger at lower frequencies). Isolating the white spectrum (whose power spectral density is the same at all frequencies) is said to output data that can be transformed into a zero-lag oscillator.
The isolation of the white spectrum data is done via a momentum-based equation. This data is further subjected to Ehlers Super Smoother so that undesirable wave components are eliminated. The filtered data is then transformed into an oscillator by using the automatic gain control algorithm.
What's different in this version?
This version also includes Loxx's Exotic Source Types. You can read about these sources here:
Signals
A GKD-C Confirmation indicator can be used as either a Confirmation 1, Confirmation 2, or Solo Confirmation indicator. See step 3 & 4 of the NNFX algorithm above to understand how this indicator fits into the GKD trading system. The Solo Confirmation setting allows you to test this indicator by itself without an additional GKD-C indicator present in the GKD protocol chain.
On the chart shown above, this indicator is shown as GKD-C Universal Oscillator and is set to Solo Confirmation. The GKD-B Baseline, GKD-V Volatility Ratio, and this indicator satisfy the first three steps in the GKD trading system chain: GKD-B => GKD-V => GKD-C(solo).
Overbought and oversold levels are included for a point of reference and have no bearing on the generated signals.
The signals from each of these settings are as follows:
Confirmation 1 Signal
Initial Long (L): Universal Oscillator crosses-up over zero-line*
Initial Short (S): Universal Oscillator crosses-down under zero-line*
Continuation Long (CL): Universal Oscillator is over zero-line, then crosses-up over the signal**
Continuation Short (CS): Universal Oscillator is under zero-line, then crosses-down under the signal**
Post Baseline Cross Long (BL): Universal Oscillator crossed-up over zero-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars***
Post Baseline Cross Short (BS): Universal Oscillator crossed-down under zero-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars***
BL Recovery Continuation Long (RL): Universal Oscillator is above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, Universal Oscillator crosses-up over the signal****
BL Recovery Continuation Short (RS): Universal Oscillator is below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, Universal Oscillator crosses-down under the signal****
*All signals are shown regardless of Baseline and Volatility/Volume qualification
**All signals are shown regardless of Baseline qualification; however, when Baseline filter is active, only true continuations are shown. When the Baseline filter is not active, then all continuations are shown. True continuations are when the Baseline is active and maintains its uptrend/downtrend after the initial cross-up/cross-down over the zero-line respectively. This means that if the Baseline trend then moves against the Universal Oscillator then any continuation signals are voided until another initial Long/Short. All continuations are will either show as regular continuations or be converted into recovery continuations
***All signals are shown regardless of Volatility/Volume qualification
****When the Baseline filter is active, some regular continuations are converted to recovery continuations and are shown. When the Baseline filter is not active, then these signals are not shown.
Confirmation 2 Signal
Initial Long (L): Universal Oscillator crosses-up over zero-line*
Initial Short (S): Universal Oscillator crosses-down under zero-line*
Continuation Long (CL): Universal Oscillator is over zero-line, then crosses-up over the signal**
Continuation Short (CS): Universal Oscillator is under zero-line, then crosses-down under the signal**
Post Baseline Cross Long (BL): Universal Oscillator crossed-up over zero-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars***
Post Baseline Cross Short (BS): Universal Oscillator crossed-down under zero-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars***
BL Recovery Continuation Long (RL): Universal Oscillator is above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while Universal Oscillator is still above zero-line; then, Universal Oscillator crosses-up over the signal****
BL Recovery Continuation Short (RS): Universal Oscillator is below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while Universal Oscillator is still below zero-line; then, Universal Oscillator crosses-down under the signal****
*All signals are shown regardless of Baseline and Volatility/Volume qualification
**All signals are shown regardless of Baseline qualification; however, when Baseline filter is active, only true continuations are shown. When the Baseline filter is not active, then all continuations are shown. True continuations are when the Baseline is active and maintains its uptrend/downtrend after the initial cross-up/cross-down over the zero-line respectively. This means that if the Baseline trend then moves against the Universal Oscillator then any continuation signals are voided until another initial Long/Short. All continuations are will either show as regular continuations or be converted into recovery continuations
***All signals are shown regardless of Volatility/Volume qualification
****When the Baseline filter is active, some regular continuations are converted to recovery continuations and are shown. When the Baseline filter is not active, then these signals are not shown.
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Long (L): The imported GKD-C Confirmation 1 indicator crosses-up over zero-line, then Universal Oscillator crosses-up over the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Initial Short (S): The imported GKD-C Confirmation 1 indicator crosses-down under zero-line, then Universal Oscillator crosses-down under the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Continuation Long Confirmation 1 (CL): The imported GKD-C Confirmation 1 indicator is over zero-line, then crosses-up over the signal
Continuation Short Confirmation 1 (CS): The imported GKD-C Confirmation 1 indicator is under zero-line, then crosses-down under the signal
Post Baseline Cross Long (BL): The imported GKD-C Confirmation 1 crossed-up over zero-line but Baseline is still in downtrend; and Universal Oscillator crossed-up over zero-line on the same bar or XX bars in the future but Baseline is still in downtrend; then Baseline turns to uptrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Post Baseline Cross Short (BS): The imported GKD-C Confirmation 1 crossed-down under zero-line but Baseline is still in uptrend; and, Universal Oscillator crossed-down under zero-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
BL Recovery Continuation Long (RL): The imported GKD-C Confirmation 1 indicator is above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while Universal Oscillator is still above zero-line; then, The imported GKD-C Confirmation 1 crosses-up over the signal
BL Recovery Continuation Short (RS): The imported GKD-C Confirmation 1 indicator is below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while Universal Oscillator is still below zero-line; then, The imported GKD-C Confirmation 1 crosses-down under the signal
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 2
Initial Long (L): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Short (S): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Continuation Long Confirmation 2 (CL): Universal Oscillator is over zero-line, then crosses-up over the signal
Continuation Short Confirmation 2 (CS): Universal Oscillator is under zero-line, then crosses-down under the signal
Post Baseline Cross Long (BL): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Post Baseline Cross Short (BS): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
BL Recovery Continuation Long (RL): Universal Oscillator is above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, Universal Oscillator crosses-up over the signal
BL Recovery Continuation Short (RS): Universal Oscillator is below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, Universal Oscillator crosses-down under the signal
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Both
Initial Long (L): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Short (S): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Continuation Long Confirmation 2 (CL): The imported GKD-C Confirmation 1 indicator is over zero-line, then crosses-up over the signal; Universal Oscillator is over zero-line, then crosses-up over the signal within "Number of Bars Confirmation" bars in the future
Continuation Short Confirmation 2 (CS): The imported GKD-C Confirmation 1 indicator is under zero-line, then crosses-down under the signal; Universal Oscillator is under zero-line, then crosses-down under the signal within "Number of Bars Confirmation" bars in the future
Post Baseline Cross Long (BL): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Post Baseline Cross Short (BS): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
BL Recovery Continuation Long (RL): The imported GKD-C Confirmation 1 indicator is above zero-line and Universal Oscillator is above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, the imported GKD-C Confirmation 1 crosses-up over its signal, and Universal Oscillator crosses-up over its signal within "Number of Bars Confirmation" bars in the future
BL Recovery Continuation Short (RS): The imported GKD-C Confirmation 1 indicator is below zero-line and Universal Oscillator is below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, the imported GKD-C Confirmation 1 crosses-down under its signal, and Universal Oscillator crosses-down under its signal within "Number of Bars Confirmation" bars in the future
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Both; Confirmation Type: (continuations don't change from the variations above)
Initial Long (L): The imported GKD-C Confirmation 1 indicator crosses-up over zero-line, then Universal Oscillator crosses-up over the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below); OR, Universal Oscillator crosses-up over zero-line, then the imported GKD-C Confirmation 1 indicator crosses-up over the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Initial Short (S): The imported GKD-C Confirmation 1 indicator crosses-down under zero-line, then Universal Oscillator crosses-down under the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below); OR, Universal Oscillator crosses-down under zero-line, then the imported GKD-C Confirmation 1 indicator crosses-down under the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Post Baseline Cross Long (BL): The imported GKD-C Confirmation 1 crossed-down under zero-line but Baseline is still in uptrend; and, Universal Oscillator crossed-down under zero-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below); OR, Universal Oscillator crossed-down under zero-line but Baseline is still in uptrend; and, the imported GKD-C Confirmation 1 crossed-down under zero-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Post Baseline Cross Short (BS): The imported GKD-C Confirmation 1 crossed-down under zero-line but Baseline is still in uptrend; and, Universal Oscillator crossed-down under zero-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below); OR, Universal Oscillator crossed-down under zero-line but Baseline is still in uptrend; and, the imported GKD-C Confirmation 1 crossed-down under zero-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Solo Confirmation Signals
Initial Long (L): Universal Oscillator crosses-up over zero-line
Initial Short (S): Universal Oscillator crosses-down under zero-line
Continuation Long (CL): Universal Oscillator is over zero-line, then crosses-up over the signal
Continuation Short (CS): Universal Oscillator is under zero-line, then crosses-down under the signal
Post Baseline Cross Long (BL): Universal Oscillator crossed-up over zero-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars
Post Baseline Cross Short (BS): Universal Oscillator crossed-down under zero-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars
BL Recovery Continuation Long (RL): Universal Oscillator above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while Universal Oscillator is still above zero-line
BL Recovery Continuation Short (RS): Universal Oscillator below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while Universal Oscillator is still below zero-line
X-bar Rule settings
This rule only applies when this indicator "Confirmation Type" set to "Confirmation 2"
Requirements
Inputs: Confirmation 1 and Solo Confirmation: GKD-V Volatility/Volume indicator; Confiration 2: GKD-C Confirmation indicator
Output: Confirmation 2 and Solo Confirmation: GKD-E Exit indicator; Confiration 1: GKD-C Confirmation indicator
Additional features will be added in future releases.
This indicator is only available to ALGX Trading VIP group members . You can see the Author's Instructions below to get more information on how to get access.
GKD-C Fisher Transform [Loxx]Giga Kaleidoscope Fisher Transform Confirmation is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is an NNFX algorithmic trading strategy?
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend (such as "Baseline" shown on the chart above)
3. Confirmation 1 - a technical indicator used to identify trends. This should agree with the "Baseline"
4. Confirmation 2 - a technical indicator used to identify trends. This filters/verifies the trend identified by "Baseline" and "Confirmation 1"
5. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown.
6. Exit - a technical indicator used to determine when a trend is exhausted.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 module (Confirmation 1/2, Numbers 3 and 4 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 5 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 6 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Volatility Ratio
Confirmation 1: Fisher Transform as shown on the chart above
Confirmation 2: Vortex
Exit: Fisher Transform
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Now that you have a general understanding of the NNFX algorithm and the GKD trading system. Let's go over what's inside the GKD-E Fisher Transform itself.
What is Fisher Transform?
The Fisher Transform is a technical indicator created by John F. Ehlers that converts prices into a Gaussian normal distribution. The indicator highlights when prices have moved to an extreme, based on recent prices. This may help in spotting turning points in the price of an asset.
What's different in this version?
This version also includes Loxx's Exotic Source Types. You can read about these sources here:
Signals
A GKD-C Confirmation indicator can be used as either a Confirmation 1, Confirmation 2, or Solo Confirmation indicator. See step 3 & 4 of the NNFX algorithm above to understand how this indicator fits into the GKD trading system. The Solo Confirmation setting allows you to test this indicator by itself without an additional GKD-C indicator present in the GKD protocol chain.
On the chart shown above, this indicator is shown as GKD-C Fisher Transform and is set to Solo Confirmation. The GKD-B Baseline, GKD-V Volatility Ratio, and this indicator satisfy the first three steps in the GKD trading system chain: GKD-B => GKD-V => GKD-C(solo).
The signals from each of these settings are as follows:
Confirmation 1 Signal
Initial Long (L): Fisher crosses-up over zero-line*
Initial Short (S): Fisher crosses-down under zero-line*
Continuation Long (CL): Fisher is over zero-line, then crosses-up over the signal**
Continuation Short (CS): Fisher is under zero-line, then crosses-down under the signal**
Post Baseline Cross Long (BL): Fisher crossed-up over zero-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars***
Post Baseline Cross Short (BS): Fisher crossed-down under zero-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars***
BL Recovery Continuation Long (RL): Fisher is above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, Fisher crosses-up over the signal****
BL Recovery Continuation Short (RS): Fisher is below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, Fisher crosses-down under the signal****
*All signals are shown regardless of Baseline and Volatility/Volume qualification
**All signals are shown regardless of Baseline qualification; however, when Baseline filter is active, only true continuations are shown. When the Baseline filter is not active, then all continuations are shown. True continuations are when the Baseline is active and maintains its uptrend/downtrend after the initial cross-up/cross-down over the zero-line respectively. This means that if the Baseline trend then moves against the Fisher Transform then any continuation signals are voided until another initial Long/Short. All continuations are will either show as regular continuations or be converted into recovery continuations
***All signals are shown regardless of Volatility/Volume qualification
****When the Baseline filter is active, some regular continuations are converted to recovery continuations and are shown. When the Baseline filter is not active, then these signals are not shown.
Confirmation 2 Signal
Initial Long (L): Fisher crosses-up over zero-line*
Initial Short (S): Fisher crosses-down under zero-line*
Continuation Long (CL): Fisher is over zero-line, then crosses-up over the signal**
Continuation Short (CS): Fisher is under zero-line, then crosses-down under the signal**
Post Baseline Cross Long (BL): Fisher crossed-up over zero-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars***
Post Baseline Cross Short (BS): Fisher crossed-down under zero-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars***
BL Recovery Continuation Long (RL): Fisher is above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while Fisher is still above zero-line; then, Fisher crosses-up over the signal****
BL Recovery Continuation Short (RS): Fisher is below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while Fisher is still below zero-line; then, Fisher crosses-down under the signal****
*All signals are shown regardless of Baseline and Volatility/Volume qualification
**All signals are shown regardless of Baseline qualification; however, when Baseline filter is active, only true continuations are shown. When the Baseline filter is not active, then all continuations are shown. True continuations are when the Baseline is active and maintains its uptrend/downtrend after the initial cross-up/cross-down over the zero-line respectively. This means that if the Baseline trend then moves against the Fisher Transform then any continuation signals are voided until another initial Long/Short. All continuations are will either show as regular continuations or be converted into recovery continuations
***All signals are shown regardless of Volatility/Volume qualification
****When the Baseline filter is active, some regular continuations are converted to recovery continuations and are shown. When the Baseline filter is not active, then these signals are not shown.
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Long (L): The imported GKD-C Confirmation 1 indicator crosses-up over zero-line, then Fisher Transform crosses-up over the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Initial Short (S): The imported GKD-C Confirmation 1 indicator crosses-down under zero-line, then Fisher Transform crosses-down under the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Continuation Long Confirmation 1 (CL): The imported GKD-C Confirmation 1 indicator is over zero-line, then crosses-up over the signal
Continuation Short Confirmation 1 (CS): The imported GKD-C Confirmation 1 indicator is under zero-line, then crosses-down under the signal
Post Baseline Cross Long (BL): The imported GKD-C Confirmation 1 crossed-up over zero-line but Baseline is still in downtrend; and Fisher crossed-up over zero-line on the same bar or XX bars in the future but Baseline is still in downtrend; then Baseline turns to uptrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Post Baseline Cross Short (BS): The imported GKD-C Confirmation 1 crossed-down under zero-line but Baseline is still in uptrend; and, Fisher crossed-down under zero-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
BL Recovery Continuation Long (RL): The imported GKD-C Confirmation 1 indicator is above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while Fisher is still above zero-line; then, The imported GKD-C Confirmation 1 crosses-up over the signal
BL Recovery Continuation Short (RS): The imported GKD-C Confirmation 1 indicator is below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while Fisher is still below zero-line; then, The imported GKD-C Confirmation 1 crosses-down under the signal
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 2
Initial Long (L): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Short (S): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Continuation Long Confirmation 2 (CL): Fisher is over zero-line, then crosses-up over the signal
Continuation Short Confirmation 2 (CS): Fisher is under zero-line, then crosses-down under the signal
Post Baseline Cross Long (BL): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Post Baseline Cross Short (BS): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
BL Recovery Continuation Long (RL): Fisher is above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, Fisher crosses-up over the signal
BL Recovery Continuation Short (RS): Fisher is below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, Fisher crosses-down under the signal
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Both
Initial Long (L): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Initial Short (S): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Continuation Long Confirmation 2 (CL): The imported GKD-C Confirmation 1 indicator is over zero-line, then crosses-up over the signal; Fisher is over zero-line, then crosses-up over the signal within "Number of Bars Confirmation" bars in the future
Continuation Short Confirmation 2 (CS): The imported GKD-C Confirmation 1 indicator is under zero-line, then crosses-down under the signal; Fisher is under zero-line, then crosses-down under the signal within "Number of Bars Confirmation" bars in the future
Post Baseline Cross Long (BL): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
Post Baseline Cross Short (BS): same as Confirmation 2 Confluence Background Color Signals; Confirmation Order: Regular; Confirmation Type: Confirmation 1
BL Recovery Continuation Long (RL): The imported GKD-C Confirmation 1 indicator is above zero-line and Fisher is above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, the imported GKD-C Confirmation 1 crosses-up over its signal, and Fisher crosses-up over its signal within "Number of Bars Confirmation" bars in the future
BL Recovery Continuation Short (RS): The imported GKD-C Confirmation 1 indicator is below zero-line and Fisher is below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, the imported GKD-C Confirmation 1 crosses-down under its signal, and Fisher crosses-down under its signal within "Number of Bars Confirmation" bars in the future
Confirmation 2 Confluence Background Color Signals; Confirmation Order: Both; Confirmation Type: (continuations don't change from the variations above)
Initial Long (L): The imported GKD-C Confirmation 1 indicator crosses-up over zero-line, then Fisher Transform crosses-up over the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below); OR, Fisher crosses-up over zero-line, then the imported GKD-C Confirmation 1 indicator crosses-up over the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Initial Short (S): The imported GKD-C Confirmation 1 indicator crosses-down under zero-line, then Fisher Transform crosses-down under the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below); OR, Fisher crosses-down under zero-line, then the imported GKD-C Confirmation 1 indicator crosses-down under the zero-line on the same bar or "Number of Bars Confirmation" bars in the future (see X-bar rule below)
Post Baseline Cross Long (BL): The imported GKD-C Confirmation 1 crossed-down under zero-line but Baseline is still in uptrend; and, Fisher crossed-down under zero-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below); OR, Fisher crossed-down under zero-line but Baseline is still in uptrend; and, the imported GKD-C Confirmation 1 crossed-down under zero-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Post Baseline Cross Short (BS): The imported GKD-C Confirmation 1 crossed-down under zero-line but Baseline is still in uptrend; and, Fisher crossed-down under zero-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below); OR, Fisher crossed-down under zero-line but Baseline is still in uptrend; and, the imported GKD-C Confirmation 1 crossed-down under zero-line on the same bar or XX bars in the future but Baseline is still in uptrend; then Baseline turns to downtrend within "Maximum Allowable PSBC Bars Back" bars (see X-bar rule below)
Solo Confirmation Signals
Initial Long (L): Fisher crosses-up over zero-line
Initial Short (S): Fisher crosses-down under zero-line
Continuation Long (CL): Fisher is over zero-line, then crosses-up over the signal
Continuation Short (CS): Fisher is under zero-line, then crosses-down under the signal
Post Baseline Cross Long (BL): Fisher crossed-up over zero-line but Baseline is still in downtrend, then Baseline turns to uptrend within XX bars
Post Baseline Cross Short (BS): Fisher crossed-down under zero-line but Baseline is still in uptrend, then Baseline turns to downtrend within XX bars
BL Recovery Continuation Long (RL): Fisher above zero-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while Fisher is still above zero-line
BL Recovery Continuation Short (RS): Fisher below zero-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while Fisher is still below zero-line
X-bar Rule settings
This rule only applies when this indicator "Confirmation Type" set to "Confirmation 2"
Requirements
Inputs: Confirmation 1 and Solo Confirmation: GKD-V Volatility/Volume indicator; Confirmation 2: GKD-C Confirmation indicator
Output: Confirmation 2 and Solo Confirmation: GKD-E Exit indicator; Confirmation 1: GKD-C Confirmation indicator
Additional features will be added in future releases.
This indicator is only available to ALGX Trading VIP group members . You can see the Author's Instructions below to get more information on how to get access.
GKD-B Baseline [Loxx]Giga Kaleidoscope Baseline is a Baseline module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is an NNFX algorithmic trading strategy?
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend (such as "Baseline" shown on the chart above)
3. Confirmation 1 - a technical indicator used to identify trend. This should agree with the "Baseline"
4. Confirmation 2 - a technical indicator used to identify trend. This filters/verifies the trend identified by "Baseline" and "Confirmation 1"
5. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown.
6. Exit - a technical indicator used to determine when trend is exhausted.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 module (Confirmation 1/2, Numbers 3 and 4 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 5 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 6 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average as shown on the chart above
Volatility/Volume: Jurik Volty
Confirmation 1: Vortex
Confirmation 2: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Now that you have a general understanding of the NNFX algorithm and the GKD trading system. let's go over what's inside the GKD-B Baseline itself.
GKD Baseline Special Features and Notable Inputs
GKD Baseline v1.0 includes 63 different moving averages:
Adaptive Moving Average - AMA
ADXvma - Average Directional Volatility Moving Average
Ahrens Moving Average
Alexander Moving Average - ALXMA
Deviation Scaled Moving Average - DSMA
Donchian
Double Exponential Moving Average - DEMA
Double Smoothed Exponential Moving Average - DSEMA
Double Smoothed FEMA - DSFEMA
Double Smoothed Range Weighted EMA - DSRWEMA
Double Smoothed Wilders EMA - DSWEMA
Double Weighted Moving Average - DWMA
Ehlers Optimal Tracking Filter - EOTF
Exponential Moving Average - EMA
Fast Exponential Moving Average - FEMA
Fractal Adaptive Moving Average - FRAMA
Generalized DEMA - GDEMA
Generalized Double DEMA - GDDEMA
Hull Moving Average (Type 1) - HMA1
Hull Moving Average (Type 2) - HMA2
Hull Moving Average (Type 3) - HMA3
Hull Moving Average (Type 4) - HMA4
IE /2 - Early T3 by Tim Tilson
Integral of Linear Regression Slope - ILRS
Instantaneous Trendline
Kalman Filter
Kaufman Adaptive Moving Average - KAMA
Laguerre Filter
Leader Exponential Moving Average
Linear Regression Value - LSMA ( Least Squares Moving Average )
Linear Weighted Moving Average - LWMA
McGinley Dynamic
McNicholl EMA
Non-Lag Moving Average
Ocean NMA Moving Average - ONMAMA
Parabolic Weighted Moving Average
Probability Density Function Moving Average - PDFMA
Quadratic Regression Moving Average - QRMA
Regularized EMA - REMA
Range Weighted EMA - RWEMA
Recursive Moving Trendline
Simple Decycler - SDEC
Simple Jurik Moving Average - SJMA
Simple Moving Average - SMA
Sine Weighted Moving Average
Smoothed LWMA - SLWMA
Smoothed Moving Average - SMMA
Smoother
Super Smoother
T3
Three-pole Ehlers Butterworth
Three-pole Ehlers Smoother
Triangular Moving Average - TMA
Triple Exponential Moving Average - TEMA
Two-pole Ehlers Butterworth
Two-pole Ehlers smoother
Variable Index Dynamic Average - VIDYA
Variable Moving Average - VMA
Volume Weighted EMA - VEMA
Volume Weighted Moving Average - VWMA
Zero-Lag DEMA - Zero Lag Exponential Moving Average
Zero-Lag Moving Average
Zero Lag TEMA - Zero Lag Triple Exponential Moving Average
Adaptive Moving Average - AMA
Description. The Adaptive Moving Average (AMA) is a moving average that changes its sensitivity to price moves depending on the calculated volatility. It becomes more sensitive during periods when the price is moving smoothly in a certain direction and becomes less sensitive when the price is volatile.
ADXvma - Average Directional Volatility Moving Average
Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator.
The ADXvma has the SMA in Chande's CMO replaced with an EMA , it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated.
A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA .
The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move.
Ahrens Moving Average
Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows.
Alexander Moving Average - ALXMA
This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile.
Deviation Scaled Moving Average - DSMA
The Deviation-Scaled Moving Average is a data smoothing technique that acts like an exponential moving average with a dynamic smoothing coefficient. The smoothing coefficient is automatically updated based on the magnitude of price changes. In the Deviation-Scaled Moving Average, the standard deviation from the mean is chosen to be the measure of this magnitude. The resulting indicator provides substantial smoothing of the data even when price changes are small while quickly adapting to these changes.
Donchian
Donchian Channels are three lines generated by moving average calculations that comprise an indicator formed by upper and lower bands around a midrange or median band. The upper band marks the highest price of a security over N periods while the lower band marks the lowest price of a security over N periods.
Double Exponential Moving Average - DEMA
The Double Exponential Moving Average ( DEMA ) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag.
Double Smoothed Exponential Moving Average - DSEMA
The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA . It's also considered a leading indicator compared to the EMA , and is best utilized whenever smoothness and speed of reaction to market changes are required.
Double Smoothed FEMA - DSFEMA
Same as the Double Exponential Moving Average (DEMA), but uses a faster version of EMA for its calculation.
Double Smoothed Range Weighted EMA - DSRWEMA
Range weighted exponential moving average (EMA) is, unlike the "regular" range weighted average calculated in a different way. Even though the basis - the range weighting - is the same, the way how it is calculated is completely different. By definition this type of EMA is calculated as a ratio of EMA of price*weight / EMA of weight. And the results are very different and the two should be considered as completely different types of averages. The higher than EMA to price changes responsiveness when the ranges increase remains in this EMA too and in those cases this EMA is clearly leading the "regular" EMA. This version includes double smoothing.
Double Smoothed Wilders EMA - DSWEMA
Welles Wilder was frequently using one "special" case of EMA (Exponential Moving Average) that is due to that fact (that he used it) sometimes called Wilder's EMA. This version is adding double smoothing to Wilder's EMA in order to make it "faster" (it is more responsive to market prices than the original) and is still keeping very smooth values.
Double Weighted Moving Average - DWMA
Double weighted moving average is an LWMA (Linear Weighted Moving Average). Instead of doing one cycle for calculating the LWMA, the indicator is made to cycle the loop 2 times. That produces a smoother values than the original LWMA
Ehlers Optimal Tracking Filter - EOTF
The Elher's Optimum Tracking Filter quickly adjusts rapid shifts in the price and yet is relatively smooth when the price has a sideways action. The operation of this filter is similar to Kaufman’s Adaptive Moving
Average
Exponential Moving Average - EMA
The EMA places more significance on recent data points and moves closer to price than the SMA ( Simple Moving Average ). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA .
Fast Exponential Moving Average - FEMA
An Exponential Moving Average with a short look-back period.
Fractal Adaptive Moving Average - FRAMA
The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry.
Generalized DEMA - GDEMA
The double exponential moving average (DEMA), was developed by Patrick Mulloy in an attempt to reduce the amount of lag time found in traditional moving averages. It was first introduced in the February 1994 issue of the magazine Technical Analysis of Stocks & Commodities in Mulloy's article "Smoothing Data with Faster Moving Averages.". Instead of using fixed multiplication factor in the final DEMA formula, the generalized version allows you to change it. By varying the "volume factor" form 0 to 1 you apply different multiplications and thus producing DEMA with different "speed" - the higher the volume factor is the "faster" the DEMA will be (but also the slope of it will be less smooth). The volume factor is limited in the calculation to 1 since any volume factor that is larger than 1 is increasing the overshooting to the extent that some volume factors usage makes the indicator unusable.
Generalized Double DEMA - GDDEMA
The double exponential moving average (DEMA), was developed by Patrick Mulloy in an attempt to reduce the amount of lag time found in traditional moving averages. It was first introduced in the February 1994 issue of the magazine Technical Analysis of Stocks & Commodities in Mulloy's article "Smoothing Data with Faster Moving Averages''. This is an extension of the Generalized DEMA using Tim Tillsons (the inventor of T3) idea, and is using GDEMA of GDEMA for calculation (which is the "middle step" of T3 calculation). Since there are no versions showing that middle step, this version covers that too. The result is smoother than Generalized DEMA, but is less smooth than T3 - one has to do some experimenting in order to find the optimal way to use it, but in any case, since it is "faster" than the T3 (Tim Tillson T3) and still smooth, it looks like a good compromise between speed and smoothness.
Hull Moving Average (Type 1) - HMA1
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses SMA for smoothing.
Hull Moving Average (Type 2) - HMA2
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses EMA for smoothing.
Hull Moving Average (Type 3) - HMA3
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses LWMA for smoothing.
Hull Moving Average (Type 4) - HMA4
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses SMMA for smoothing.
IE /2 - Early T3 by Tim Tilson and T3 new
T3 is basically an EMA on steroids, You can read about T3 here:
Integral of Linear Regression Slope - ILRS
A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA ( Simple Moving Average ) of length N, which is actually the midpoint of the linear regression line as it moves across the data.
Instantaneous Trendline
The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading.
Kalman Filter
Kalman filter is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies. This means that the filter was originally designed to work with noisy data. Also, it is able to work with incomplete data. Another advantage is that it is designed for and applied in dynamic systems; our price chart belongs to such systems. This version is true to the original design of the trade-ready Kalman Filter where velocity is the triggering mechanism.
Kalman Filter is a more accurate smoothing/prediction algorithm than the moving average because it is adaptive: it accounts for estimation errors and tries to adjust its predictions from the information it learned in the previous stage. Theoretically, Kalman Filter consists of measurement and transition components.
Kaufman Adaptive Moving Average - KAMA
Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low.
Laguerre Filter
The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation.
Adjusting the Alpha coefficient is used to increase or decrease its lag and its smoothness.
Leader Exponential Moving Average
The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter.
Linear Regression Value - LSMA ( Least Squares Moving Average )
LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down.
Linear Weighted Moving Average - LWMA
LWMA reacts to price quicker than the SMA and EMA . Although it's similar to the Simple Moving Average , the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion.
McGinley Dynamic
John McGinley created this Moving Average to track prices better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets.
McNicholl EMA
Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws.
Non-lag moving average
The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals.
Ocean NMA Moving Average - ONMAMA
Created by Jim Sloman, the NMA is a moving average that automatically adjusts to volatility without being programmed to do so. For more info, read his guide "Ocean Theory, an Introduction"
Parabolic Weighted Moving Average
The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average . The Linear Weighted Moving Average calculates the average by assigning different weights to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator.
Probability Density Function Moving Average - PDFMA
Probability density function based MA is a sort of weighted moving average that uses probability density function to calculate the weights. By its nature it is similar to a lot of digital filters.
Quadratic Regression Moving Average - QRMA
A quadratic regression is the process of finding the equation of the parabola that best fits a set of data. This moving average is an obscure concept that was posted to Forex forums in around 2008.
Regularized EMA - REMA
The regularized exponential moving average (REMA) by Chris Satchwell is a variation on the EMA (see Exponential Moving Average) designed to be smoother but not introduce too much extra lag.
Range Weighted EMA - RWEMA
This indicator is a variation of the range weighted EMA. The variation comes from a possible need to make that indicator a bit less "noisy" when it comes to slope changes. The method used for calculating this variation is the method described by Lee Leibfarth in his article "Trading With An Adaptive Price Zone".
Recursive Moving Trendline
Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrow's price.
Simple Decycler - SDEC
The Ehlers Simple Decycler study is a virtually zero-lag technical indicator proposed by John F. Ehlers. The original idea behind this study (and several others created by John F. Ehlers) is that market data can be considered a continuum of cycle periods with different cycle amplitudes. Thus, trending periods can be considered segments of longer cycles, or, in other words, low-frequency segments. Applying the right filter might help identify these segments.
Simple Loxx Moving Average - SLMA
A three stage moving average combining an adaptive EMA, a Kalman Filter, and a Kauffman adaptive filter.
Simple Moving Average - SMA
The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA .
Sine Weighted Moving Average
The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average).
Smoothed LWMA - SLWMA
A smoothed version of the LWMA
Smoothed Moving Average - SMMA
The Smoothed Moving Average is similar to the Simple Moving Average ( SMA ), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen as an accurate yet laggy Moving Average.
Smoother
The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA ( Smoothed Moving Average ). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm.
Super Smoother
The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a Two pole Butterworth filter combined with a 2-bar SMA ( Simple Moving Average ) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence.
Three-pole Ehlers Butterworth
The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA . They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing.
Three-pole Ehlers smoother
The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth.
Triangular Moving Average - TMA
The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data.
Triple Exponential Moving Average - TEMA
The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, its signals are considered very noisy and should only be used in extremely fast-paced trading conditions.
Two-pole Ehlers Butterworth
The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded.
Two-pole Ehlers smoother
A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers .
Variable Index Dynamic Average - VIDYA
Variable Index Dynamic Average Technical Indicator ( VIDYA ) was developed by Tushar Chande. It is an original method of calculating the Exponential Moving Average ( EMA ) with the dynamically changing period of averaging.
Variable Moving Average - VMA
The Variable Moving Average (VMA) is a study that uses an Exponential Moving Average being able to automatically adjust its smoothing factor according to the market volatility.
Volume Weighted EMA - VEMA
An EMA that uses a volume and price weighted calculation instead of the standard price input.
Volume Weighted Moving Average - VWMA
A Volume Weighted Moving Average is a moving average where more weight is given to bars with heavy volume than with light volume. Thus the value of the moving average will be closer to where most trading actually happened than it otherwise would be without being volume weighted.
Zero-Lag DEMA - Zero Lag Double Exponential Moving Average
John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence.
Zero-Lag Moving Average
The Zero Lag Moving Average is described by its creator, John Ehlers , as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average.
Zero-Lag TEMA - Zero Lag Triple Exponential Moving Average
Just like the Zero Lag DEMA , this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators.
Exotic Triggers
This version of Baseline allows the user to select from exotic or source triggers. An exotic trigger determines trend by either slope or some other mechanism that is special to each moving average. A source trigger is one of 32 different source types from Loxx's Exotic Source Types. You can read about these source types here:
Volatility Goldie Locks Zone
This volatility filter is the standard first pass filter that is used for all NNFX systems despite the additional volatility/volume filter used in step 5. For this filter, price must fall into a range of maximum and minimum values calculated using multiples of volatility. Unlike the standard NNFX systems, this version of volatility filtering is separated from the core Baseline and uses it's own moving average with Loxx's Exotic Source Types. The green and red dots at the top of the chart denote whether a candle qualifies for a either or long or short respectively. The green and red triangles at the bottom of the chart denote whether the trigger has crossed up or down and qualifies inside the Goldie Locks zone. White coloring of the Goldie Locks Zone mean line is where volatility is too low to trade.
Volatility Types Included
v1.0 Included Volatility
Close-to-Close
Close-to-Close volatility is a classic and most commonly used volatility measure, sometimes referred to as historical volatility .
Volatility is an indicator of the speed of a stock price change. A stock with high volatility is one where the price changes rapidly and with a bigger amplitude. The more volatile a stock is, the riskier it is.
Close-to-close historical volatility calculated using only stock's closing prices. It is the simplest volatility estimator. But in many cases, it is not precise enough. Stock prices could jump considerably during a trading session, and return to the open value at the end. That means that a big amount of price information is not taken into account by close-to-close volatility .
Despite its drawbacks, Close-to-Close volatility is still useful in cases where the instrument doesn't have intraday prices. For example, mutual funds calculate their net asset values daily or weekly, and thus their prices are not suitable for more sophisticated volatility estimators.
Parkinson
Parkinson volatility is a volatility measure that uses the stock’s high and low price of the day.
The main difference between regular volatility and Parkinson volatility is that the latter uses high and low prices for a day, rather than only the closing price. That is useful as close to close prices could show little difference while large price movements could have happened during the day. Thus Parkinson's volatility is considered to be more precise and requires less data for calculation than the close-close volatility .
One drawback of this estimator is that it doesn't take into account price movements after market close. Hence it systematically undervalues volatility . That drawback is taken into account in the Garman-Klass's volatility estimator.
Garman-Klass
Garman Klass is a volatility estimator that incorporates open, low, high, and close prices of a security.
Garman-Klass volatility extends Parkinson's volatility by taking into account the opening and closing price. As markets are most active during the opening and closing of a trading session, it makes volatility estimation more accurate.
Garman and Klass also assumed that the process of price change is a process of continuous diffusion (Geometric Brownian motion). However, this assumption has several drawbacks. The method is not robust for opening jumps in price and trend movements.
Despite its drawbacks, the Garman-Klass estimator is still more effective than the basic formula since it takes into account not only the price at the beginning and end of the time interval but also intraday price extremums.
Researchers Rogers and Satchel have proposed a more efficient method for assessing historical volatility that takes into account price trends. See Rogers-Satchell Volatility for more detail.
Rogers-Satchell
Rogers-Satchell is an estimator for measuring the volatility of securities with an average return not equal to zero.
Unlike Parkinson and Garman-Klass estimators, Rogers-Satchell incorporates drift term (mean return not equal to zero). As a result, it provides a better volatility estimation when the underlying is trending.
The main disadvantage of this method is that it does not take into account price movements between trading sessions. It means an underestimation of volatility since price jumps periodically occur in the market precisely at the moments between sessions.
A more comprehensive estimator that also considers the gaps between sessions was developed based on the Rogers-Satchel formula in the 2000s by Yang-Zhang. See Yang Zhang Volatility for more detail.
Yang-Zhang
Yang Zhang is a historical volatility estimator that handles both opening jumps and the drift and has a minimum estimation error.
We can think of the Yang-Zhang volatility as the combination of the overnight (close-to-open volatility ) and a weighted average of the Rogers-Satchell volatility and the day’s open-to-close volatility . It considered being 14 times more efficient than the close-to-close estimator.
Garman-Klass-Yang-Zhang
Garman-Klass-Yang-Zhang (GKYZ) volatility estimator consists of using the returns of open, high, low, and closing prices in its calculation.
GKYZ volatility estimator takes into account overnight jumps but not the trend, i.e. it assumes that the underlying asset follows a GBM process with zero drift. Therefore the GKYZ volatility estimator tends to overestimate the volatility when the drift is different from zero. However, for a GBM process, this estimator is eight times more efficient than the close-to-close volatility estimator.
Exponential Weighted Moving Average
The Exponentially Weighted Moving Average (EWMA) is a quantitative or statistical measure used to model or describe a time series. The EWMA is widely used in finance, the main applications being technical analysis and volatility modeling.
The moving average is designed as such that older observations are given lower weights. The weights fall exponentially as the data point gets older – hence the name exponentially weighted.
The only decision a user of the EWMA must make is the parameter lambda. The parameter decides how important the current observation is in the calculation of the EWMA. The higher the value of lambda, the more closely the EWMA tracks the original time series.
Standard Deviation of Log Returns
This is the simplest calculation of volatility . It's the standard deviation of ln(close/close(1))
Pseudo GARCH(2,2)
This is calculated using a short- and long-run mean of variance multiplied by θ.
θavg(var ;M) + (1 − θ) avg (var ;N) = 2θvar/(M+1-(M-1)L) + 2(1-θ)var/(M+1-(M-1)L)
Solving for θ can be done by minimizing the mean squared error of estimation; that is, regressing L^-1var - avg (var; N) against avg (var; M) - avg (var; N) and using the resulting beta estimate as θ.
Average True Range
The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period.
The true range indicator is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The ATR is then a moving average, generally using 14 days, of the true ranges.
True Range Double
A special case of ATR that attempts to correct for volatility skew.
Additional features will be added in future releases.
This indicator is only available to ALGX Trading VIP group members . You can see the Author's Instructions below to get more information on how to get access.
Three Legged Goose FuturesThree-Legged Goose is an all-in-one intraday trading system.
Three-Legged Goose Futures is the same system as our "Three-Legged Goose" indicator, simply optimized for futures trading by working across all futures market sessions.
Three-Legged Goose Futures ONLY works on futures charts, please use our original Three-Legged Goose for equities.
It features a sleek and customizable Opening range overlay with infinitely generating price targets, Average Daily Range Zones, Curated Anchored VWAPs, Total Volume and ATR analysis, as well as our state of the art Market Momentum Trend detection.
Three-Legged Goose also has important Daily levels, including the Previous Day's High and Low and the Current Days Open, three fully customizable Exponential Moving Averages, a customizable ema cloud, and a toggleable standard vwap .
Three-Legged Goose Futures also includes overnight highs and lows as well as previous New York Session highs and lows.
Using this indicator allows you to get rid of any unnecessary indicators that are taking up those valuable slots in TradingView.
AVWAP + ORBS:
The Opening Range Breakout system builds off of our recommended 15min opening range and does all of your price target calculations based on the width of the opening range. These targets are fully customizable within the settings,
to allow fine-tuning from ticker to ticker. We have programmed three Anchored vwaps at different time intervals to act as a dynamic trend-finding instrument. These, along with the opening range breakout system, can help you quickly spot the day's trend and dynamic support and resistance long before your standard moving averages have caught up with price intraday.
Average Daily Range Zones:
We believe these zones to be essential to trading, especially with our system. These zones tend to act as areas of major support and resistance as well as give an idea of the projected volatility of the underlying.
Market Momentum Trend Detection:
We paint our momentum analysis directly on your candles. By taking the overall Market Internals + the underlying's Price movement, we can determine areas where we feel comfortable adding risk on or taking risk off.
This will help those that struggle at identifying trends and valid reversals.
All of the default settings are our recommended settings.
Please check the Author Instructions Below for how to gain access to our indicators.
Mean Reverse Grid Algorithm - The Quant ScienceMean Reverse Grid Algorithm - The Quant Science™ is a dynamic grid algorithm that follows the trend and run a mean reverting strategy on average percentage yield variation.
DESCRIPTION
Trades on different price levels of the grid, following the trend. The grid consists of 10 levels, 5 higher and 5 lower. The grids together create a channel, this channel represents the total percentage change where the algorithm works. The channel also represents the average change yields of the asset, identified during analysis with the "Yield Trend Indicator".
The algorithm can be set long or short.
1. Long algorithm: opens long positions with 20% of the capital every time the price crossunder a lower grid, for a maximum total of 5 simultaneous trades. Trades are closed each time the price crossover a higher grid.
2. Short algorithm: opens short positions with 20% of the capital every time the price crossover a higher grid, for a maximum total of 5 simultaneous trades. Trades are closed each time the price crossunder a lower grid.
USER INTERFACE SETTING
The user configures the percentage value of each grid from the user interface.
AUTO TRADING COMPLIANT
With the user interface, the trader can easily set up this algorithm for automatic trading. Automating it is very simple, activate the alert functions and enter the links generated by your broker.
BACKTESTING INCLUDED
With the user interface, the trader can adjust the backtesting period of the strategy before putting it live. You can analyze large periods such as years or months or focus on short-term periods.
NO LIMIT TIMEFRAME
This algorithm can be used on all timeframes and is ideal for lower timeframes.
GENERAL FEATURES
Multi-strategy: the algorithm can apply either the long strategy or the short strategy.
Built-in alerts: the algorithm contains alerts that can be customized from the user interface.
Integrated grid: the grid indicator is included.
Backtesting included: automatic backtesting of the strategy is generated based on the values set.
Auto-trading compliant: functions for auto trading are included.
ABOUT BACKTESTING
Backtesting refers to the period 1 August 2022 - today, ticker: ETH/USDT, timeframe 1H.
Initial capital: $1000.00
Commission per trade: 0.03%
DCA Average Arbitrage - The Quant ScienceDCA Average Arbitrage - The Quant Science™ is a quantitative algorithm based on a DCA model that uses averaging to create a statistical arbitrage system.
DESCRIPTION
The algorithm can be set long or short.
1. Long algorithm: opens long positions with 100% of the capital every time the price deviates negatively for a certain percentage distance from the average.
2. Short algorithm: opens short positions with 100% of capital every time the price deviates positively for a certain percentage distance from the average.
The closing of positions depends on the parameters activated by the user. The user can set the closing on the reverse condition and/or add functions such as stop loss, take profit and closing after a certain bar period.
USER INTERFACE SETTING
The user chooses the long or short direction and sets the parameters for average as length, source and percent distance.
AUTO TRADING COMPLIANT
With the user interface, the trader can easily set up this algorithm for automatic trading. Automating it is very simple, activate the alert functions and enter the links generated by your broker.
BACKTESTING INCLUDED
With the user interface, the trader can adjust the backtesting period of the strategy before putting it live. You can analyze large periods such as years or months or focus on short-term periods.
NO LIMIT TIMEFRAME
This algorithm can be used on all timeframes and is ideal for lower timeframes.
GENERAL FEATURES
Multi-strategy: the algorithm can apply either the long strategy or the short strategy.
Built-in alerts: the algorithm contains alerts that can be customized from the user interface.
Integrated indicator: the quantity indicator is included.
Backtesting included: automatic backtesting of the strategy is generated based on the values set.
Auto-trading compliant: functions for auto trading are included.
ABOUT THE BACKTEST
Backtesting refers to the period 1 January 2022 - today, ticker: ICP/USDT, timeframe 5 minutes.
Initial capital: $1000.00
Commission per trade: 0.03%
Three Legged GooseThree Legged Goose
Three-Legged Goose is an all-in-one intraday trading system.
It features a sleek and customizable Opening range overlay with infinitely generating price targets, Average Daily Range Zones, Curated Anchored VWAPs, Total Volume and ATR analysis, as well as our state of the art Market Momentum Trend detection.
Three-Legged Goose also has important Daily levels, including the Previous Day's High and Low and the Current Days Open, three fully customizable Exponential Moving Averages, a customizable ema cloud, and a toggleable standard vwap.
Using this indicator allows you to get rid of any unnecessary indicators that are taking up those valuable slots in TradingView.
AVWAP + ORBS:
The Opening Range Breakout system builds off of our recommended 15min opening range and does all of your price target calculations based on the width of the opening range. These targets are fully customizable within the settings,
to allow fine-tuning from ticker to ticker. We have programmed three Anchored vwaps at different time intervals to act as a dynamic trend-finding instrument. These, along with the opening range breakout system, can help you quickly spot the day's trend and dynamic support and resistance long before your standard moving averages have caught up with price intraday.
Average Daily Range Zones:
We believe these zones to be essential to trading, especially with our system. These zones tend to act as areas of major support and resistance as well as give an idea of the projected volatility of the underlying.
Market Momentum Trend Detection:
We paint our momentum analysis directly on your candles. By taking the overall Market Internals + the underlying's Price movement, we can determine areas where we feel comfortable adding risk on or taking risk off.
This will help those that struggle at identifying trends and valid reversals.
All of the default settings are our recommended settings.
Please check the Author Instructions Below for how to gain access to our indicators.
hamster-bot ZZCompilation of various modifications of the trend breakout reversal strategies based on the ZigZag .
Includes past versions of scripts:
version 1 ZZ2 Breakout reversal strategy
version 2 ZZ2 with experimental options hamster-bot ZZ Breakout reversal strategy
version 3 ZZ6 Noro's ZZ-6 by hamster-bot The original script is available here
The original script is available here
Description ZZ6 :
New version of ZZ-strategy.
Repaint?
Normal lines are not redrawn. Dotted lines repaint, but do not affect trading (do not affect backtests). You can turn off repaint in the script settings. Repaint (dotted lines) are needed only for clarity. To make it clear from which bar the level is created.
Levels
Lime lines above - level from a local high bar. To open a long position. Using a market stop order.
Red line at the bottom - the level from a local low bar. To open a short position. Using a market stop order.
Trading
You can trade without short positions. Then the red line is the level for a stop-loss order.
Reverse trading can be used. Without stop-loss orders.
Risk size
Order size depends on the risk size parameter and possible loss. If risk size = 2%, it means that the loss will be no more than 2%.
For crypto
Symbols: XBT/USD, BTC /USD, BTC /USDT, ETH/USD, etc - need USD(T)
Timeframes: 1h, 4h, 1d
This new ZZ strategy includes all the best practices for this strategy. the script has great flexibility of settings.
Instructions for script parameters:
Parameter ZZ Type - is responsible for the basic type of strategy used (usually it is responsible for building levels)
then you will need to configure the settings block corresponding to the selected ZZ type .
At the moment the script contains types: ZZ2 + ZZ6
The rest of the parameters are common for any type of ZZ.
Further development will be done in this script. The above scripts will not be updated.
At the moment the options are already available:
- Take Profit
- Stop Loss
- One entry Long/Short
- Single entry
- Levels offset
- Levels multiplier
- Levels angle
Bank Heist ( Matrix 5 EMA With Delorean Indicator Alerts )Bank Heist ( Market Maker / Matrix 5 EMA With Delorean Indicator Alerts )
Welcome to the "Bank Heist" Indicator
This indicator is based on one strategy that many many individuals and companies have tried to label as their own, brand it, and resell it. The names of these companies will be listed below as to not "steal" the strategy from the people trying to brand EMA's and also to help those using keyword searches (based on the many hot terms coined over the years) to find this indicator. I personally have decided to add to the confusion and call it the "Bank Heist" so as to not appear to be "stealing" someone elses name for free indicators 😊
The Strategy
Simple:
The EMA's are below price, look for buys. EMA's above price, look for sells.
The 50 EMA is ALWAYS market equilibrium
Intermediate:
5 EMA Crossing Up 13 EMA With The 50 EMA Under everything = Buy
5 EMA Crossing Down 13 EMA with 50 EMA Above everything = Sell
The 50 EMA is ALWAYS market equilibrium
Advanced:
Simple+Intermediate
The higher period the EMA , the Longer the trend.
All time frames must pull back to ALL EMA's at some point during the trend
🤯 Each EMA is one period different, one time frame up or down (Example: The 13 EMA on the 15m chart is the same as the 5 EMA on the 1hr Chart)
🔑 If you don't understand this and/or want to study it further then mark each EMA on the 15m chart, then move up one time frame at a time all the way to the daily chart.
🧙♂️ After it "clicks" , just remember that price must always pull back to all EMA's on all time frames, The 50 EMA is ALWAYS market equilibrium
Delorean Indicator Alerts:
Set alarms on TradingView with this indicator!
For those who don't know what this is:
Two candles cutting through the 13 ema, second candle bigger, trade in the direction of the trend.
Special Notes:
The 50 EMA is ALWAYS market equilibrium
The Highly Skilled Will See How To Get The Worlds Tightest Stop Loss
THIS WORKS ON ALL TIME FRAMES (Yes, 1 minute throught 1 year)
THIS WORKS ON ANY FINANCIAL INSTRUMENT
You Can Also Set Alerts For The EMA's Crossing ( 5 EMA Crossing 13 EMA , ETC.)
🔮 Study These, You Cant Make This Up 🔮
Famous Trading System Names That Got You Here
Ordered from true original to most recent "creators" in chronological order
FXPX
Matrix
Matrix Trading System
Matrix 5 EMA
5 EMA
5 EMA's
Market Maker
MarketMaker
Delorean
Delorean Indicator
Delorean Strategy
IM Academy
Bank Heist (Free & Condensed TradingView Indicator)
DISCLAIMER
THIS IS NOT FINANCIAL OR INVESTMENT ADVICE AND SHOULD NOT BE INTERPRETED AS SUCH.
Trading foreign exchange on margin carries a high level of risk, and may not be suitable for all investors. Past performance is not indicative of future results. The high degree of leverage can work against you as well as for you. Before deciding to invest in foreign exchange you should carefully consider your investment objectives, level of experience, and risk appetite. The possibility exists that you could sustain a loss of some or all of your initial investment and therefore you should not invest money that you cannot afford to lose. You should be aware of all the risks associated with foreign exchange trading, and seek advice from an independent financial advisor if you have any doubts.
CRYPTOOO FOX (Trading System)CRYPTOOO FOX (Trading System)
---DISCRIPTION---
How Strategy Work :
--Strategy is working on higher time frame so i use two high time frame
the higher is ( 2 H or 3 H or 4 H or 8 H or 12 H or Daily ) and the highest is ( Daily ) Time frame .
-- When the higher time frame cross over the Daily time frame( the Highest ) this mean the TREND and
the PRICE also going UP this strategy is going to long position ( Buy position ) .
-- When the higher time frame cross under Daily time frame( the Highest ) this mean the TREND and
the PRICE also going DOWN strategy going to ( close position ) .
-- Notes :
--Strategy use some averages to calculate the higher time frame .
--Strategy use parabolic indicator to filter entries which name is ( Filter )
--Strategy use one more candle close to confirm entry ( Filter 2 )
--This the best time frame ( HIGHER , HIGHEST ) in this strategy in profit and draw down .
--Strategy is working only in Long position i am not recommend to use it in short positions .
--THIS IS NO REPAINT STRATEGY .
--DON'T use it in DAILY time frame
--I recommend so mush to use take profit and stop loss although the low draw down but some time
the market have a huge movements .
---- Strategy Settings which we publish now :
Fees = 0.1 the same as market fees .
Equity = 10 % and you can change it as you want .
Filter = 4 .
Filter 2 = true ( Just mark in check box beside Filter 2 ) .
Charts which working in these settings :
Eth/Usdt- 30 min/Binance ( Current image ) .
Btc/Usdt- 30 min/Binance .
Bch/Usdt- 30 min/Binance .
We do a lot of tests to get the best profit and also the lowest draw down
we will update the new settings for new charts
hamster-bot HD preset_2presets for users
// DESCRIPTION OF STRATEGY ver. 2
HiDeep Strategy
Author foresterufa
This is a counter-trend strategy that is gradually gaining a position against the trend at the best price.
A prerequisite for completing a position is the price exit from the internal channel on the chart and the appearance of the HiDeep indicator.
The condition for closing the position is touching the opposite side of the internal channel.
A condition for facilitating closure along the middle line of the channel, with high price volatility , is that the price touches the border of the external channel.
Input signals are generated by HiDeep indicators. Closing a position by moving averages.
ETH/USD 15m [iTradebot]1. General
2. Additional information
3. Access
1. This is a script for crypto trading strategies, based on following trends with moving averages.
A fast moving average and a slower getting crosschecked with MACD for buying/selling signals, those signals get crosschecked by 5 different factors, like the MACD or controlling average.
Only if all requirements will be met, the script expects the trend to change and sends an according signal.
This strategy is not made for multiple entries and keeps a position open until an opposite signal gets triggered.
It was built with ETH/USD 15min chart in mind, but can be used on any other chart, though you will have to find a different combination in inputs, to make it work with other pairs or timeframes.
Fast average: The faster of the two signal moving averages.
Slow average: The slower of the two signal moving averages.
Trend strength: Determines the crosscheck with the MACD.
Control length: Sets the period length for the control average (1=1bar, 300=300bars)
Inputs used here are:
Fast average: 5
Slow average: 19
Trend strength: 4
Control length: 306
Start capital: 1000
Trade equity: 100%
Commission: 0.036% (Binance)
Result 2020-06-11 until 2021-01-07
Net Profit: 717.56%
Percent Profitable: 54.17%
Max Drawdown: 8.79%
Profit Factor: 6.523
2. There are many combinations with good net profit outcomes, but make sure to also keep a low "Max Drawdown", to lower the risk substantially.
The combination we used, gives slightly less profit than other combinations, but also lowers the max drawdown from 20% to 9%.
In general in trading with crypto we advice to only use this strategy with Bitcoin or Ethereum , due to their high value and "stable" movements, compared to other cryptocurrencies.
The strategy is using 100% equity each trade, so make sure to have your capital management in place on the account.
To be specific, DONT put all your capital into this one strategy, but only part of it, according to your capital management.
Control lengths around 150 or 300 tend to give good combinations with the other 3 inputs. (on the 15min chart)
3. You can test this strategy 14 days for free and get access for up to 1 year on our website.
14 day free trial only requires Tradingview user name and e-mail.
Click on the link in our signature below.
[blackcat] L3 Ehlers ZeroLag Intraday Trading SystemLevel: 3
Background
John F. Ehlers introuced ZeroLag Intraday Trading System in his "Rocket Science for Traders" chapter 16.
Function
blackcat L3 EhlersZeroLag Intraday Trading System is used to find proper long and short entries. Dr. Ehlers developed a completely automatic ZeroLag Intraday Trading System. The concepts of the Instantaneous Trendline and the ZeroLag EMA are very powerful. To demonstrate just how profound these concepts are, Dr. Ehlers designed an intraday trading system. An intraday trade is defined as any active trade that is traded and then closed at the end of the day.
Key Signal
Smooth --> 4 bar WMA w/ 1 bar lag
Detrender --> The amplitude response of a minimum-length HT can be improved by adjusting the filter coefficients by
trial and error. HT does not allow DC component at zero frequency for transformation. So, Detrender is used to remove DC component/ trend component.
Q1 --> Quadrature phase signal
I1 --> In-phase signal
Period --> Dominant Cycle in bars
SmoothPeriod --> Period with complex averaging
DCPeriod ---> Dominant Cycle Period
Trendline ---> IT fast line
ZeroLag ---> Zero Lag Filter
long ---> long entry signal
short ---> short entry signal
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
NOTE: This version of Trading System has better preformance than "Automatic SineTrend Trading System".
Remarks
The 12th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Crazy Signals - Early Detection of a Short Term TrendThis is a simple yet powerful tool that helps you detect Trends for the short term.
Time Frames:
- Avoid using very small time frames as there will be too many signals in a short period
- Intraday: 15 mins, 30 mins, 60 mins seem to detect trends well
- Overnight Trades: 60 mins
- Positional: 1D is recommended
- For Investment, one can week a weekly timeframe
Rules of Engagement:
1. The Upward Arrow (Green) indicates possible upside. While the Downward Arrow (Orange) indicates a possible downside
2. Not every Signal has to be traded. Rules to check before taking a trade:
a. The candle on which the Signal is generated, should be either small or medium size compared to other candles on the chart. If the candle is large, ignore it
b. In case of a Buy Signal, entry should be made once the Price crosses above the High made on the Signal Candle
c. In case of a Sell Signal, entry should be made once the Price crosses below the Low made on the Signal Candle
d. For extra caution, in steps b & c, one can wait for the current candle to close higher than the High of Signal Candle for Buy Signal and close lower than the Low of Signal Candle (this is for extra safe traders)
This tool is to be used for trades that usually last for a few candles.
Please do your own research before trading.
4 Pattern Software4 Pattern Software
With well over 20 years of trading and investing experience, combined with my 10 years plus of coding strategies and indicators, I learned many years ago that there are 4 Patterns that are more reliable for picking the correct entries on Stocks, Commodities, Forex and Cryptocurrencies than any others. I thought it would be best to create software that scans the entire stock market, each day, to quickly and easily identify these specific patterns.
In the picture above the software is showing the ranges and support and resistance levels on BTCUSD. There are other various indicators on this chart that show when price is overextended, volume spikes and trend changes.
The Nasdaq is showing an overextended support pattern. It also is highlighting the next levels of support and resistance levels.
In the above picture the software is telling us that the market is going sideways and to stay out for now. Once price breaks out of the ranges the blue will disappear.
Once price broke out of the range it is now showing us one of the 4 patterns that we are looking for. It is also showing the red line resistance that needs to be broken before it is wise to look for an entry.
Khaos-PredatorThis Indicator is a full trading system that offers setups with Entries and Targets and Trade Management. This indicator is very accurate because it uses advanced setup detection and filtering logic.
There are 2 conditions that must occur for you to take a trade:
1) Price must move beyond the purple dot
2) The baseline must be green for long trades, or red for short trades.
The setup is triggered if the price passes the purple dot. Do not enter the trade unless price passes the purple dot. (You may wait for pullback to enter if you wish – but only after price traded beyond the purple dot firstly.) Remember, the trade is NOT active unless price moves beyond the purple dot.)
Each setup has 3 possible targets, which are dots colored green for longs and red for shorts.
You can use the baseline (which is a trend-line that is either green for bullish or red for bearish) to filter trades. You should only enter long trades if the baseline is green and only enter short trades if the baseline is red. One strategy would be if you enter a trade long, and reach the first target, you can take some profits, but still let the some of the position run and use the baseline to manage the trade.
Also, you can use the baseline for trailing stops.
To summarize:
• Purple Dot = Entry Trigger
• Green Dots = Long Targets (3 of them, for different price targets: target 1, 2 and 3)
• Green Square = Long Stop
• Red Dots = Short Targets (3 of them, for different price targets: target 1, 2 and 3)
• Red Square = Short Stop
The great thing about this indicator is that its universal, there are no settings necessary -- just put it on the chart and it finds high probability setups and paints it on the chart as they occur. There is NO Repainting with this indicator.
Of course, you can add other indicators if you wish, and even add this indicator to your existing trading system.
Again, this indicator does NOT repaint.
Once a setup is found, the indicator draws the entry trigger price and the targets at the setup bar close.
Setup Alerts are fully supported, via email, sms, and desktop notification.
*If you wish to license this indicator, please contact me via private message for details regarding access. Thank you.
LEGAL STUFF:
Risk Disclosure
Futures , forex, stock, crypto and derivative trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results
Hypothetical Performance Disclosure
Hypothetical performance results have many inherent limitations, some of which are described below. no representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results
