Point and Figure (PnF) MomentumThis is live and non-repainting Point and Figure Chart Momentum tool. The script has it’s own P&F engine and not using integrated function of Trading View.
Point and Figure method is over 150 years old. It consist of columns that represent filtered price movements. Time is not a factor on P&F chart but as you can see with this script P&F chart created on time chart.
P&F chart provide several advantages, some of them are filtering insignificant price movements and noise, focusing on important price movements and making support/resistance levels much easier to identify.
Momentum indicator measures the rate of change or speed of price movement. It compares the current price with the previous price from a number of periods ago. By analysing the rate of change , possible to gauge the strength or “momentum”. By using this script we get Point and Figure chart momentum.
If you are new to Point & Figure Chart then you better get some information about it before using this tool. There are very good web sites and books. Please PM me if you need help about resources.
Options in the Script
Box size is one of the most important part of Point and Figure Charting. Chart price movement sensitivity is determined by the Point and Figure scale. Large box sizes see little movement across a specific price region, small box sizes see greater price movement on P&F chart. There are four different box scaling with this tool: Traditional, Percentage, Dynamic (ATR), or User-Defined
4 different methods for Box size can be used in this tool.
User Defined: The box size is set by user. A larger box size will result in more filtered price movements and fewer reversals. A smaller box size will result in less filtered price movements and more reversals.
ATR: Box size is dynamically calculated by using ATR, default period is 20.
Percentage: uses box sizes that are a fixed percentage of the stock's price. If percentage is 1 and stock’s price is $100 then box size will be $1
Traditional: uses a predefined table of price ranges to determine what the box size should be.
Price Range Box Size
Under 0.25 0.0625
0.25 to 1.00 0.125
1.00 to 5.00 0.25
5.00 to 20.00 0.50
20.00 to 100 1.0
100 to 200 2.0
200 to 500 4.0
500 to 1000 5.0
1000 to 25000 50.0
25000 and up 500.0
Default value is “ATR”, you may use one of these scaling method that suits your trading strategy.
If ATR or Percentage is chosen then there is rounding algorithm according to mintick value of the security. For example if mintick value is 0.001 and box size (ATR/Percentage) is 0.00124 then box size becomes 0.001.
And also while using dynamic box size (ATR or Percentage), box size changes only when closing price changed.
Reversal : It is the number of boxes required to change from a column of Xs to a column of Os or from a column of Os to a column of Xs. Default value is 3 (most used). For example if you choose reversal = 2 then you get the chart similar to Renko chart.
Source: Closing price or High-Low prices can be chosen as data source for P&F charting.
There is 2 options for P&F Momentum
Length: Length for the P&F Momentum, default value is 10
Display as: there are two options and can display as “Histogram” or “Line”
Search in scripts for "momentum"
Market momentum catcherIs a tool used to catch market momentum. If the color is green it means the bulls are in momentum or the prices will continue to increase, if the color is red it means the bears are in momentum or the prices will continue to decrease and gray color means the market is consolidating.
This tool is made from moving averages and RSI.
You can place a buy order when the color is green, you can place a sell order when the color is red and if the color is gray do not trade.
Magma MomentumThis is a simple and easy-to-read momentum indicator that can help you identify divergences and shifts in momentum.
A divergence is when price moves in one direction but the indicator moves in the opposite direction. This typically is a sign of price exhaustion and can indicate that price is about to reverse, at least momentarily.
Here is a comparison with RSI (relative strength index) and some examples of divergences.
Enjoy.
Momentum OscillatorThis is a heavily modified MACD to show the momentum of the market. There is a bollinger band with the source being set to MACD line to show the volatility of the momentum. The concept and settings came from Barry Burn's foundation course but I discovered that adding a bollinger band to macd line can show the squeeze and expansion of the momentum and that can be very helpful in conjunction with the whole system. If you switch to weekly chart and above, the settings automatically switches to those that Barry uses for none 1 to 3 ratio so you won't need to worry about it.
Institutional Momentum Scanner [IMS]Institutional Momentum Scanner - Professional Momentum Detection System
Hunt explosive price movements like the professionals. IMS identifies maximum momentum displacement within 10-bar windows, revealing where institutional money commits to directional moves.
KEY FEATURES:
▪ Scans for strongest momentum in rolling 10-bar windows (institutional accumulation period)
▪ Adaptive filtering reduces false signals using efficiency ratio technology
▪ Three clear states: LONG (green), SHORT (red), WAIT (gray)
▪ Dynamic volatility-adjusted thresholds (8% ATR-scaled)
▪ Visual momentum flow with glow effects for signal strength
BASED ON:
- Pocket Pivot concept (O'Neil/Morales) applied to price momentum
- Adaptive Moving Average principles (Kaufman KAMA)
- Market Wizards momentum philosophy
- Institutional order flow patterns (5-day verification window)
HOW IT WORKS:
The scanner finds the maximum price displacement in each 10-bar window - where the market showed its hand. An adaptive filter (5-bar regression) separates real moves from noise. When momentum exceeds the volatility-adjusted threshold, states change.
IDEAL FOR:
- Momentum traders seeking explosive moves
- Swing traders (especially 4H timeframe)
- Position traders wanting institutional footprints
- Anyone tired of false breakout signals
Default parameters (10,5) optimized for 4H charts but adaptable to any timeframe. Remember: The market rewards patience and punishes heroes. Wait for clear signals.
"The market is honest. Are you?"
(OFPI) Order Flow Polarity Index - Momentum Gauge (DAFE) (OFPI) Order Flow Polarity Index - Momentum Gauge: Decode Market Aggression
The (OFPI) Gauge Bar is your front-row seat to the battle between buyers and sellers. This isn’t just another indicator—it’s a momentum tracker that reveals market aggression through a sleek, centered gauge bar and a smart dashboard. Built for traders who want clarity without clutter, it’s your edge for spotting who’s driving price, bar by bar.
What Makes It Unique?
Order Flow Pressure Index (OFPI): Splits volume into buy vs. sell pressure based on candle body position. It’s not just volume—it’s intent, showing who’s got the upper hand.
T3 Smoothing Magic: Uses a Tilson T3 moving average to keep signals smooth yet responsive. No laggy SMA nonsense here.
Centered Gauge Bar: A 20-segment bar splits bullish (lime) and bearish (red) momentum around a neutral center. Empty segments scream indecision—it’s like a visual heartbeat of the market.
Momentum Shift Alerts: Catches reversals with “Momentum Shift” flags when the OFPI crests, so you’re not caught off guard.
Clean Dashboard: A compact, bottom-left table shows momentum status, the gauge bar, and the OFPI value. Color-coded, transparent, and no chart clutter.
Inputs & Customization
Lookback Length (default 10): Set the window for pressure calculations. Short for scalps, long for trends.
T3 Smoothing Length (default 5): Tune the smoothness. Tight for fast markets, relaxed for chill ones.
T3 Volume Factor (default 0.7): Crank it up for snappy signals or down for silky trends.
Toggle the dashboard for minimalist setups or mobile trading.
How to Use It
Bullish Momentum (Lime, Right-Filled): Buyers are flexing. Look for breakouts or trend continuations. Pair with support levels.
Bearish Momentum (Red, Left-Filled): Sellers are in charge. Scout for breakdowns or shorts. Check resistance zones.
Neutral (Orange, Near Center): Market’s chilling. Avoid big bets—wait for a breakout or play the range.
Momentum Shift: A reversal might be brewing. Confirm with price action before jumping in.
Not a Solo Act: Combine with your strategy—trendlines, RSI, whatever. It’s a momentum lens, not a buy/sell bot.
Why Use the OFPI Gauge?
See the Fight: Most tools just count volume. OFPI shows who’s winning with a visual that slaps.
Works Anywhere: Crypto, stocks, forex, any timeframe. Tune it to your style.
Clean & Pro: No chart spam, just a sharp gauge and a dashboard that delivers.
Unique Edge: No other indicator blends body-based pressure, T3 smoothing, and a centered gauge like this.
The OFPI Gauge catches the market’s pulse so you can trade with confidence. It’s not about predicting the future—it’s about knowing who’s in control right now.
For educational purposes only. Not financial advice. Always use proper risk management.
Use with discipline. Trade your edge.
— Dskyz , for DAFE Trading Systems
Uptrick: Momentum-Volatility Composite Signal### Title: Uptrick: Momentum-Volatility Composite Signal
### Overview
The "Uptrick: Momentum-Volatility Composite Signal" is an innovative trading tool designed to offer traders a sophisticated synthesis of momentum, volatility, volume flow, and trend detection into a single comprehensive indicator. This tool stands out by providing an integrated view of market dynamics, which is critical for identifying potential trading opportunities with greater precision and confidence. Its unique approach differentiates it from traditional indicators available on the TradingView platform, making it a valuable asset for traders aiming to enhance their market analysis.
### Unique Features
This indicator integrates multiple crucial elements of market behavior:
- Momentum Analysis : Utilizes Rate of Change (ROC) metrics to assess the speed and strength of market movements.
- Volatility Tracking : Incorporates Average True Range (ATR) metrics to measure market volatility, aiding in risk assessment.
- Volume Flow Analysis : Analyzes shifts in volume to detect buying or selling pressure, adding depth to market understanding.
- Trend Detection : Uses the difference between short-term and long-term Exponential Moving Averages (EMA) to detect market trends, providing insights into potential reversals or confirmations.
Customization and Inputs
The Uptrick indicator offers a variety of user-defined settings tailored to fit different trading styles and strategies, enhancing its adaptability across various market conditions:
Rate of Change Length (rocLength) : This setting defines the period over which momentum is calculated. Shorter periods may be preferred by day traders who need to respond quickly to market changes, while longer periods could be better suited for position traders looking at more extended trends.
ATR Length (atrLength) : Adjusts the timeframe for assessing volatility. A shorter ATR length can help day traders manage the quick shifts in market volatility, whereas longer lengths might be more applicable for swing or position traders who deal with longer-term market movements.
Volume Flow Length (volumeFlowLength): Determines the analysis period for volume flow to identify buying or selling pressure. Day traders might opt for shorter periods to catch rapid volume changes, while longer periods could serve swing traders to understand the accumulation or distribution phases better.
Short EMA Length (shortEmaLength): Specifies the period for the short-term EMA, crucial for trend detection. Shorter lengths can aid day traders in spotting immediate trend shifts, whereas longer lengths might help swing traders in identifying more sustainable trend changes.
Long EMA Length (longEmaLength): Sets the period for the long-term EMA, which is useful for observing longer-term market trends. This setting is particularly valuable for position traders who need to align with the broader market direction.
Composite Signal Moving Average Length (maLength): This parameter sets the smoothing period for the composite signal's moving average, helping to reduce noise in the signal output. A shorter moving average length can be beneficial for day traders reacting to market conditions swiftly, while a longer length might help swing and position traders in smoothing out less significant fluctuations to focus on significant trends.
These customization options ensure that traders can fine-tune the Uptrick indicator to their specific trading needs, whether they are scanning for quick opportunities or analyzing more prolonged market trends.
### Functionality Details
The indicator operates through a sophisticated algorithm that integrates multiple market dimensions:
1. Momentum and Volatility Calculation : Combines ROC and ATR to gauge the market’s momentum and stability.
2. Volume and Trend Analysis : Integrates volume data with EMAs to provide a comprehensive view of current market trends and potential shifts.
3. Signal Composite : Each component is normalized and combined into a composite signal, offering traders a nuanced perspective on when to enter or exit trades.
The indicator performs its calculations as follows:
Momentum and Volatility Calculation:
roc = ta.roc(close, rocLength)
atr = ta.atr(atrLength)
Volume and Trend Analysis:
volumeFlow = ta.cum(volume) - ta.ema(ta.cum(volume), volumeFlowLength)
emaShort = ta.ema(close, shortEmaLength)
emaLong = ta.ema(close, longEmaLength)
emaDifference = emaShort - emaLong
Composite Signal Calculation:
Normalizes each component (ROC, ATR, volume flow, EMA difference) and combines them into a composite signal:
rocNorm = (roc - ta.sma(roc, rocLength)) / ta.stdev(roc, rocLength)
atrNorm = (atr - ta.sma(atr, atrLength)) / ta.stdev(atr, atrLength)
volumeFlowNorm = (volumeFlow - ta.sma(volumeFlow, volumeFlowLength)) / ta.stdev(volumeFlow, volumeFlowLength)
emaDiffNorm = (emaDifference - ta.sma(emaDifference, longEmaLength)) / ta.stdev(emaDifference, longEmaLength)
compositeSignal = (rocNorm + atrNorm + volumeFlowNorm + emaDiffNorm) / 4
### Originality
The originality of the Uptrick indicator lies in its ability to merge diverse market metrics into a unified signal. This multi-faceted approach goes beyond traditional indicators by offering a deeper, more holistic analysis of market conditions, providing traders with insights that are not only based on price movements but also on underlying market dynamics.
### Practical Application
The Uptrick indicator excels in environments where understanding the interplay between volume, momentum, and volatility is crucial. It is especially useful for:
- Day Traders : Can leverage real-time data to make quick decisions based on sudden market changes.
- Swing Traders : Benefit from understanding medium-term trends to optimize entry and exit points.
- Position Traders : Utilize long-term market trend data to align with overall market movements.
### Best Practices
To maximize the effectiveness of the Uptrick indicator, consider the following:
- Combine with Other Indicators : Use alongside other technical tools like RSI or MACD for additional validation.
- Adapt Settings to Market Conditions : Adjust the indicator settings based on the asset and market volatility to improve signal accuracy.
- Risk Management : Implement robust risk management strategies, including setting stop-loss orders based on the volatility measured by the ATR.
### Practical Examples and Demonstrations
- Example for Day Trading : In a volatile market, a trader notices a sharp increase in the momentum score coinciding with a surge in volume but stable volatility, signaling a potential bullish breakout.
- Example for Swing Trading : On a 4-hour chart, the indicator shows a gradual alignment of decreasing volatility and increasing buying volume, suggesting a strengthening upward trend suitable for a long position.
### Alerts and Their Uses
- Alert Configurations : Set alerts for when the composite score crosses predefined thresholds to capture potential buy or sell events.
- Strategic Application : Use alerts to stay informed of significant market moves without the need to continuously monitor the markets, enabling timely and informed trading decisions.
Technical Notes
Efficiency and Compatibility: The indicator is designed for efficiency, running smoothly across different trading platforms including TradingView, and can be easily integrated with existing trading setups. It leverages advanced mathematical models for normalizing and smoothing data, ensuring consistent and reliable signal quality across different market conditions.
Limitations : The effectiveness of the Uptrick indicator can vary significantly across different market conditions and asset classes. It is designed to perform best in liquid markets where data on volume, volatility, and price trends are readily available and reliable. Traders should be aware that in low-liquidity or highly volatile markets, the signals might be less reliable and require additional confirmation.
Usage Recommendations : While the Uptrick indicator is a powerful tool, it is recommended to use it in conjunction with other analysis methods to confirm signals. Traders should also continuously monitor the performance and adjust settings as needed to align with their specific trading strategies and market conditions.
### Conclusion
The "Uptrick: Momentum-Volatility Composite Signal" is a revolutionary tool that offers traders an advanced methodology for analyzing market dynamics. By combining momentum, volatility, volume, and trend detection into a single, cohesive indicator, it provides a powerful, actionable insight into market movements, making it an indispensable tool for traders aiming to optimize their trading strategies.
Composite Momentum█ Introduction
The Composite Momentum Indicator is a tool we came across that we found to be useful at detecting implied tops and bottoms within quick market cycles. Its approach to analyzing momentum through a combination of moving averages and summation techniques makes it a useful addition to the range of available indicators on TradingView.
█ How It Works
This indicator operates by calculating the difference between two moving averages—one fast and one slow, which can be customized by the user. The difference between these two averages is then expressed as a percentage of the fast moving average, forming the core momentum value which is then smoothed with an Exponential Moving Average is applied. The smoothed momentum is then compared across periods to identify directional changes in direction
Furthermore, the script calculates the absolute differences between consecutive momentum values. These differences are used to determine periods of momentum acceleration or deceleration, aiming to establish potential reversals.
In addition to tracking momentum changes, the indicator sums positive and negative momentum changes separately over a user-defined period. This summation is intended to provide a clearer picture of the prevailing market bias—whether it’s leaning towards strength or weakness.
Finally, the summed-up values are normalized to a percentage scale. This normalization helps in identifying potential tops and bottoms by comparing the relative strength of the momentum within a given cycle.
█ Usage
This indicator is primarily useful for traders who focus on detecting quick cycle tops and bottoms. It provides a view of momentum shifts that can signal these extremes, though it’s important to use it in conjunction with other tools and market analysis techniques. Given its ability to highlight potential reversals, it may be of interest to those who seek to understand short-term market dynamics.
█ Disclaimer
This script was discovered without any information about its author or original intent but was nonetheless ported from its original format that is available publicly. It’s provided here for educational purposes and should not be considered a guaranteed method for market analysis. Users are encouraged to test and understand the indicator thoroughly before applying it in real trading scenarios.
Heartbeat Momentum Strategy BetaHeartbeat Momentum Strategy Beta
Overview
The Heartbeat Momentum Strategy is an innovative approach to market analysis that draws inspiration from the rhythmic patterns of a heartbeat. This strategy aims to identify significant momentum shifts in the market by comparing short-term and long-term moving averages, analogous to detecting irregularities in a heartbeat.
Key Concepts
Market Heartbeat: The difference between short-term and long-term moving averages, representing the market's current 'pulse'.
Heartbeat Volatility: Measured by the standard deviation of the market heartbeat.
Momentum Signals: Generated when the heartbeat deviates significantly from its normal range.
How It Works
Calculates a short-term moving average (default 5 periods) and a long-term moving average (default 20 periods) of the closing price.
Computes the 'heartbeat' by subtracting the long-term MA from the short-term MA.
Measures the volatility of the heartbeat using its standard deviation over the long-term period.
Generates buy signals when the heartbeat exceeds 2 standard deviations above its mean.
Generates sell signals when the heartbeat falls 2 standard deviations below its mean.
Indicator Components
Blue Line: Short-term moving average
Red Line: Long-term moving average
Green Triangles: Buy signals
Red Triangles: Sell signals
Background Color: Light green during buy signals, light red during sell signals
Strategy Parameters
Short MA Window: The period for the short-term moving average (default: 5)
Long MA Window: The period for the long-term moving average (default: 20)
Standard Deviation Threshold: The number of standard deviations to trigger a signal (default: 2.0)
Interpretation
Buy Signal: Indicates a potential strong upward momentum shift. Consider opening long positions or closing short positions.
Sell Signal: Suggests a potential strong downward momentum shift. Consider opening short positions or closing long positions.
No Signal: The market is moving within its normal rhythm. Maintain current positions or look for other entry opportunities.
Customization
Users can adjust the strategy parameters to suit different assets, timeframes, or trading styles:
Decrease the MA windows for more frequent signals (more suitable for shorter timeframes).
Increase the MA windows for fewer, potentially more significant signals (better for longer timeframes).
Adjust the Standard Deviation Threshold to fine-tune sensitivity (lower for more signals, higher for fewer but potentially stronger signals).
Risk Management
While this strategy can provide valuable insights into market momentum, it should not be used in isolation:
Always use stop-loss orders to manage potential losses.
Consider the overall market context and other technical/fundamental factors.
Be aware of potential false signals, especially in ranging or highly volatile markets.
Backtest and forward-test the strategy with different parameters before live trading.
Conclusion
The Heartbeat Momentum Strategy offers a unique perspective on market movements by treating price action like a heartbeat. By identifying significant deviations from the normal market rhythm, it aims to capture strong momentum shifts while filtering out market noise. As with any trading strategy, use it as part of a comprehensive trading plan and always practice sound risk management.
ADW - MomentumADW - Momentum is a trading indicator based on the Relative Momentum Index (RMI) and Exponential Moving Averages (EMAs). This indicator plots the RMI along with its EMAs and highlights regions where RMI crosses its slow EMA. Additionally, it provides alerts when the momentum flips bullish or bearish.
Key Features:
The RMI helps to identify momentum in the market.
Three EMAs (Fast, Standard, and Slow) were calculated on the RMI. These can be utilized to analyze the momentum trend over different periods.
Highlighted regions and colour coding to indicate when RMI crosses its Slow EMA, signalling potential momentum shifts.
Customizable parameters: Users can specify the lengths of the RMI and EMAs, boundaries for RMI, and colours for various components of the plot.
Alerts: The script can alert users when the momentum has flipped bullish or bearish.
The script is organized into several sections:
Inputs: The user can customize several parameters including the RMI averaging length, momentum lookback, RMI boundaries, and the EMA lengths. In addition, users can also specify the colours for the RMI line, Slow EMA line, and the fill colour.
RMI Calculation: The script calculates the RMI based on the user-provided length and momentum lookback. This is done by first calculating two EMAs - one for the positive differences between closing prices (emaInc), and one for the negative differences (emaDec). Then, the RMI is computed using these EMAs.
Plotting: The script plots the RMI line, Slow EMA line, and two horizontal lines indicating the RMI boundaries. In addition, it also fills the region between the RMI and Slow EMA lines.
Conditions: The script computes the conditions for bullish and bearish momentum flips. These are defined as when the RMI crosses above or below the Slow EMA respectively.
Alerts: Finally, the script sets up two alert conditions based on the bullish and bearish conditions. These alert the user when the momentum has flipped bullish or bearish, with a message that includes the current RMI value.
Momentum Ratio Oscillator [Loxx]What is Momentum Ratio Oscillator?
The theory behind this indicator involves utilizing a sequence of exponential moving average (EMA) calculations to achieve a smoother value of momentum ratio, which compares the current value to the previous one. Although this results in an outcome similar to that of some pre-existing indicators (such as volume zone or price zone oscillators), the use of EMA for smoothing is what sets it apart. EMA produces a smooth step-like output when values undergo sudden changes, whereas the mathematics used for those other indicators are completely distinct. This is a concept by the beloved Mladen of FX forums.
To utilize this version of the indicator, you have the option of using either levels, middle, or signal crosses for signals. The indicator is range bound from 0 to 1.
What is an EMA?
EMA stands for Exponential Moving Average, which is a type of moving average that is commonly used in technical analysis to smooth out price data and identify trends.
In a simple moving average (SMA), each data point is given equal weight when calculating the average. For example, if you are calculating the 10-day SMA, you would add up the prices for the past 10 days and divide by 10 to get the average. In contrast, in an EMA, more weight is given to recent prices, while older prices are given less weight.
The formula for calculating an EMA involves using a smoothing factor that is multiplied by the difference between the current price and the previous EMA value, and then adding this to the previous EMA value. The smoothing factor is typically calculated based on the length of the EMA being used. For example, a 10-day EMA might use a smoothing factor of 2/(10+1) or 0.1818.
The result of using an EMA is that the line produced is more responsive to recent price changes than a simple moving average. This makes it useful for identifying short-term trends and potential trend reversals. However, it can also be more volatile and prone to whipsaws, so it is often used in combination with other indicators to confirm signals.
Overall, the EMA is a widely used and versatile tool in technical analysis, and its effectiveness depends on the specific context in which it is applied.
What is Momentum?
In technical analysis, momentum refers to the rate of change of an asset's price over a certain period of time. It is often used to identify trends and potential trend reversals in financial markets.
Momentum is calculated by subtracting the closing price of an asset X days ago from its current closing price, where X is the number of days being used for the calculation. The result is the momentum value for that particular day. A positive momentum value suggests that prices are increasing, while a negative value indicates that prices are decreasing.
Traders use momentum in a variety of ways. One common approach is to look for divergences between the momentum indicator and the price of the asset being traded. For example, if an asset's price is trending upwards but its momentum is trending downwards, this could be a sign of a potential trend reversal.
Another popular strategy is to use momentum to identify overbought and oversold conditions in the market. When an asset's price has been rising rapidly and its momentum is high, it may be considered overbought and due for a correction. Conversely, when an asset's price has been falling rapidly and its momentum is low, it may be considered oversold and due for a bounce back up.
Momentum is also often used in conjunction with other technical indicators, such as moving averages or Bollinger Bands, to confirm signals and improve the accuracy of trading decisions.
Overall, momentum is a useful tool for traders and investors to analyze price movements and identify potential trading opportunities. However, like all technical indicators, it should be used in conjunction with other forms of analysis and with consideration of the broader market context.
Extras
Alerts
Signals
Loxx's Expanded Source Types, see here for details
GKD-C Double Smoothed Stochastic of Momentum [Loxx]Giga Kaleidoscope Double Smoothed Stochastic of Momentum 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 of Momentum 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 of Momentum itself.
What is Double Smoothed Stochastic of Momentum?
The Double Smoothed Stochastic of Momentum 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 of Momentum 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 of Momentum 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 of Momentum crosses-up over middle-line*
Initial Short (S): Double Smoothed Stochastic of Momentum crosses-down under middle-line*
Continuation Long (CL): Double Smoothed Stochastic of Momentum is over middle-line, then crosses-up over the signal**
Continuation Short (CS): Double Smoothed Stochastic of Momentum is under middle-line, then crosses-down under the signal**
Post Baseline Cross Long (BL): Double Smoothed Stochastic of Momentum 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 of Momentum 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 of Momentum is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, Double Smoothed Stochastic of Momentum crosses-up over the signal****
BL Recovery Continuation Short (RS): Double Smoothed Stochastic of Momentum is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, Double Smoothed Stochastic of Momentum 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 of Momentum 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 of Momentum crosses-up over middle-line*
Initial Short (S): Double Smoothed Stochastic of Momentum crosses-down under middle-line*
Continuation Long (CL): Double Smoothed Stochastic of Momentum is over middle-line, then crosses-up over the signal**
Continuation Short (CS): Double Smoothed Stochastic of Momentum is under middle-line, then crosses-down under the signal**
Post Baseline Cross Long (BL): Double Smoothed Stochastic of Momentum 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 of Momentum 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 of Momentum is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while Double Smoothed Stochastic of Momentum is still above middle-line; then, Double Smoothed Stochastic of Momentum crosses-up over the signal****
BL Recovery Continuation Short (RS): Double Smoothed Stochastic of Momentum is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while Double Smoothed Stochastic of Momentum is still below middle-line; then, Double Smoothed Stochastic of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum is over middle-line, then crosses-up over the signal
Continuation Short Confirmation 2 (CS): Double Smoothed Stochastic of Momentum 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 of Momentum is above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend; then, Double Smoothed Stochastic of Momentum crosses-up over the signal
BL Recovery Continuation Short (RS): Double Smoothed Stochastic of Momentum is below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend; then, Double Smoothed Stochastic of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum 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 of Momentum crosses-up over middle-line
Initial Short (S): Double Smoothed Stochastic of Momentum crosses-down under middle-line
Continuation Long (CL): Double Smoothed Stochastic of Momentum is over middle-line, then crosses-up over the signal
Continuation Short (CS): Double Smoothed Stochastic of Momentum is under middle-line, then crosses-down under the signal
Post Baseline Cross Long (BL): Double Smoothed Stochastic of Momentum 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 of Momentum 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 of Momentum above middle-line. Baseline already crossed down into downtrend, then baseline crosses back up to uptrend while Double Smoothed Stochastic of Momentum is still above middle-line
BL Recovery Continuation Short (RS): Double Smoothed Stochastic of Momentum below middle-line. Baseline already crossed up into uptrend, then baseline crosses back down to downtrend while Double Smoothed Stochastic of Momentum 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.
[AKM] MomentumThis indicator will indicate the movement of momentum, whether sell or buy zone.
Value above 0 indicate momentum is in Buy zone.
Value below 0 indicate momentum is in Sell zone.
Value between Low Momentum Upper and Low Momentum Bottom indicate momentum is low.
The green color indicates that the buy momentum exceeds the value set at Low Momentum Upper.
The red color indicates that the sell momentum exceeds the value set at Low Momentum Bottom.
The yellow color indicates the value of buy or sell is between Low Momentum Upper and Low Momentum Bottom.
Send us private message on TV to gain access to the indicator.
BTC Momentum Detector 1h# BTC Momentum Detector 1h
This indicator is designed to detect significant momentum movements in Bitcoin price on the 1-hour timeframe. It identifies candles with percentage changes within a specific range, which often precede larger price movements.
## How It Works
The indicator analyzes price movements to detect potential momentum shifts:
- Identifies candles with percentage changes between configurable thresholds (default: 1.7% - 2.8%)
- Requires neutral or inverse movement in the prior candle to avoid false signals
- Optional volume filter ensures signals are confirmed by above-average trading activity
- Tracks price continuation to calculate success rates and average returns
## Key Features
- **Signal Detection**: Green triangles below price bars indicate upward momentum signals; red triangles above price bars indicate downward momentum signals
- **Continuation Tracking**: Dashed horizontal lines show the entry price levels of active signals being tracked
- **Statistics Panel**: Displays real-time metrics including signal counts, success rates, and average returns
- **Current Status**: Shows the current price change percentage and active signals being monitored
## Parameters
- **Minimum Percentage Threshold**: Minimum price change to trigger a signal (default: 1.7%)
- **Maximum Percentage Threshold**: Maximum price change to filter out extreme moves (default: 2.8%)
- **Continuation Periods**: Number of periods to track after signal (default: 2)
- **Require Prior Neutral/Inverse**: Filters signals by requiring neutral or opposite prior movement
- **Neutral Threshold**: Defines what's considered a neutral movement (default: 0.1%)
- **Volume Filter**: Option to require above-average volume for confirmation
- **Volume Multiplier**: Volume must exceed average by this factor (default: 2x)
## Strategy Concept
The underlying strategy is based on the concept that when Bitcoin makes a controlled, significant move (not too small, not too large) after a period of neutral or opposite movement, it often continues in that direction for the next few periods. This pattern reflects the early stages of momentum development in the market.
Multi-Timeframe Momentum Indicator [Ox_kali]The Multi-Timeframe Momentum Indicator is a trend analysis tool designed to examine market momentum across various timeframes on a single chart. Utilizing the Relative Strength Index (RSI) to assess the market’s strength and direction, this indicator offers a multidimensional perspective on current trends, enriching technical analysis with a deeper understanding of price movements. Other oscillators, such as the MACD and StochRSI, will be integrated in future updates.
Regarding the operation with the RSI: when its value is below 50 for a given period, the trend is considered bearish. Conversely, a value above 50 indicates a bullish trend. The indicator goes beyond the isolated analysis of each period by calculating an average of the displayed trends, based on user preferences. This average, ranging from “Strong Down” to “Strong Up,” reflects the percentage of periods indicating a bullish or bearish trend, thus providing a precise overview of the overall market condition.
Key Features:
Multi-Timeframe Analysis : Allows RSI analysis across multiple timeframes, offering an overview of market dynamics.
Advanced Customization : Includes options to adjust the RSI period, the RSI trend threshold, and more.
Color and Transparency Options : Offers color styles for bullish and bearish trends, as well as adjustable transparency levels for personalized visualization.
Average Trend Display : Calculates and displays the average trend based on activated timeframes, providing a quick summary of the current market state.
Flexible Table Positioning : Allows users to choose the indicator’s display location on the chart for seamless integration.
List of Parameters:
RSI Period : Defines the RSI period for calculation.
RSI Up/Down Threshold: Threshold for determining bullish or bearish trends of the RSI.
Table Position: Location of the indicator’s display on the chart.
Color Style : Selection of the color style for the indicator.
Strong Down/Up Color (User) : Customization of colors for strong market movements.
Table TF Transparency : Adjustment of the transparency level for the timeframe table.
Show X Minute/Hour/Day/Week Trend : Activation of the RSI display for specific timeframes.
Show AVG : Option to display or not the calculated average trend.
the Multi-Timeframe Momentum Indicator , stands as a comprehensive tool for market trend analysis across various timeframes, leveraging the RSI for in-depth market insights. With the promise of future updates including the integration of additional oscillators like the MACD and StochRSI, this indicator is set to offer even more robust analysis capabilities.
Please note that the MTF-Momentum is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
Ichimoku Cloud Momentum & Trend Indicator «NoaTrader»If you like Ichimoku cloud and use it in your analysis, or you are new to it and sometimes gets tricky to figure out all the details, this indicator tries to simplify that and visualize the change of trend and momentum relative to the past based on ichimoku.
The RED/GREEN columns are showing momentum strength while the black diamond line suggests the trend change. The conditions are simple enough to check them out on the script.
As you can see highlighted cyan circles on the chart as major important signals on the chart of Bitcoin daily timeframe.
This script tries to be complementary to the ichimoku cloud itself and cannot replace the levels represented by the cloud on chart.
Momentum Composite Indicator@CRYPTOSLIFE
This script creates a Momentum Composite Indicator (MCI) that combines four different momentum indicators: RSI, MACD, Stochastic Oscillator, and Rate of Change (ROC). Each of these indicators is calculated, normalized, and then combined with equal weights (25% each) to create the composite indicator. The script also includes a color change based on the change in the composite indicator's value.
Here's a brief explanation of the indicator:
Parameters: The script takes one input parameter, 'length,' which is used as the length for RSI, Stochastic Oscillator, and ROC calculations.
RSI: The Relative Strength Index (RSI) is calculated using the 'length' input parameter. The RSI is then normalized to range between 0 and 1.
MACD: The Moving Average Convergence Divergence (MACD) is calculated using the default lengths of 12, 26, and 9. The histogram is then computed as the difference between the MACD line and the signal line. The MACD histogram is normalized to range between 0 and 1.
Stochastic Oscillator: The Stochastic Oscillator is calculated using the 'length' input parameter, taking the lowest low and highest high over the specified period. The oscillator is then normalized to range between 0 and 1.
Rate of Change (ROC): The Rate of Change (ROC) is calculated using the 'length' input parameter. The ROC is then normalized to range between 0 and 1.
Composite Indicator: The normalized values of RSI, MACD, Stochastic Oscillator, and ROC are combined with equal weights to create the composite indicator.
Color Change: The line color changes based on the change in the composite indicator's value. If the value increases, the line color is green; if it decreases, the line color is red.
Plotting: The composite indicator is plotted on the chart with a linewidth of 5.
This Momentum Composite Indicator can help traders assess the overall momentum in the price movement of a financial instrument by combining the information from four popular momentum indicators.
GKD-C Momentum Breakout Bands [Loxx]Giga Kaleidoscope Momentum Breakout Bands is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ 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
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. 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 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 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-C(Continuation) => 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 Continuation indicator. The Continuation 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: Volatility Ratio as shown on the chart above
Confirmation 1: Momentum Breakout Bands as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: 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 to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ Momentum Breakout Bands
What is Momentum Breakout Bands?
Momentum Breakout Bands is a momentum oscillator with Bollinger Bands to filter noise by standard deviation. This is used for breakout trading and can be used on lower timeframes.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Additional features will be added in future releases.
Percent Volatility MomentumThis pine script calculates percent volatility momentum, negative percent volatility and positive percent volatility. The blue line is the overall momentum of the current percent volatility trend. The red line only includes negative movements in the percent volatility of the source. The green line includes only positive movements of the percent volatility of the source. The script also includes an angle and a normalized angle setting that allows one to determine the angle of the source curve. Note, the angle was transformed from -90 to 90 to 0 to 100. Such that an angle of -90 is transformed to 0. An angle of 0 is transformed to 50 and an angle of 90 is transformed to 100. This is the first draft of this script and my first pine script published. Any feedback is welcome. I borrowed code from TradingView's Linear Regression Channel and Relative Strength Index pine scripts.
MTM - Momentum IndicatorMTM - Momentum
Description
The Momentum indicator is a speed of movement indicator that is designed to identify the speed (or strength) of price movement. This indicator compares the current close price to the close price N bars ago and also displays a moving average of this difference.
Category
Momentum Indicators
Parameters
N ( Default: 6 Min: 1 Max: 100 )
N1 ( Default: 6 Min: 1 Max: 100 )
Chart Script
MTM : CLOSE-REF(CLOSE,N);
MTMMA : MA(MTM,N1)
www.edgerater.com
Munich's Momentum Wave V2MUNICH'S MOMENTUM WAVE VERSION 2 IS LIVE!!!
There are a few big things to note with this one.
I decided to upload this as an entirely new script due to the number of changes differing from the first version, but as the last one, this will still work on ANY TIMEFRAME, ANY ASSET CLASS, ANY PRICE! .
This momentum wave indicator now will give you data for when trend could turn, and two momentum indicators to help you decide when to take an entry.
First off,
*I have added an alma ma (alma) that will track momentum alongside price action and further lead the indicator consisting of the Munich waves.
* The background feature will track the price using a method derived from the Bollinger bands, after calculations, it will color the background based on the average of the momentum's ema's, the alma ma, and also the alma in comparison to the alma's value pre offset ( the offset is 3, following the basis).
*There are now 5 basis values given from the increase in ema samples.
If anyone has any questions feel free to pm me or comment below. Thank you guys for the support! :)
INDEX:BTCUSD TVC:NDQ AMEX:SPY BITSTAMP:ETHUSD BINANCE:BTCUSDT FX:USDJPY NASDAQ:AAPL
Dap's Oscillator- Short Term Momentum and Trend. BINANCE:BTCUSDT BYBIT:BTCUSDT BYBIT:ETHUSDT BINANCE:ETHUSDT
DAP's OSCILLATOR:
WHAT IS IT?
This Oscillator was created to inspire confidence in the short-term trend of traders. This will work very well with a volatility metric (I recommend BBWP by @The_Caretaker)
WHAT IS IT MADE OF?
1. Consists of a series of equations (mainly the difference between simple to exponential moving averages) and Standard deviations of these moving average differences (length equivalent to the length of sampled ma's)
2. These equations are then boiled down through an averaging process array, after averaging the covariants are equated against the variants of the positive side of the array. This is what is presented as the aqua line.
3. The RC average (yellow) is the sma following the DAP'S Oscillator at a specified length
4. The most important part of this indicator is simply the momentum oscillator represented as a green or red line based on the value relative to the Oscillators.
HOW DO I USE THIS?
As I mentioned before mixed with a volatility metric, it should set you up for a good decision based on short-term trends. I would say to be careful for periods of consolidation, with the consolidation the momentum often meets hands with DAP's Oscillator and can cause fake-outs. You want to spot divergences from the price to the momentum difference, as well as room to work down or upward to secure a good entry on a position.
CHEAT CODE'S NOTES:
I appreciate everyone who has boosted my previous scripts, it means a lot. If you want to translate words to pine script onto a chart, feel free to PM me. I would be happy to help bring an indicator to life. I may take a quick break but will be back shortly to help create more cheat codes for yall. Thanks!
-Cheat Code
Synthetic EMA Momentum w/ DSL [Loxx]Synthetic EMA Momentum w/ DSL is a momentum indicator that is calculated with 5 different EMAs of increasing period to derive a final momentum value. This helps reduce noise and improve signal quality. Discontinued signal lines are uses to calculate signal values.
What are DSL Discontinued Signal Line?
A lot of indicators are using signal lines in order to determine the trend (or some desired state of the indicator) easier. The idea of the signal line is easy : comparing the value to it's smoothed (slightly lagging) state, the idea of current momentum/state is made.
Discontinued signal line is inheriting that simple signal line idea and it is extending it : instead of having one signal line, more lines depending on the current value of the indicator.
"Signal" line is calculated the following way :
When a certain level is crossed into the desired direction, the EMA of that value is calculated for the desired signal line
When that level is crossed into the opposite direction, the previous "signal" line value is simply "inherited" and it becomes a kind of a level
This way it becomes a combination of signal lines and levels that are trying to combine both the good from both methods.
In simple terms, DSL uses the concept of a signal line and betters it by inheriting the previous signal line's value & makes it a level.
Included:
Loxx's Expanded Source Types
Alerts
Signals
Bar coloring
Related indicators
Smoother Momentum MACD w/ DSL
T3 Velocity
