USD(Uncle Super Trend)The Super Trend Indicator Adopts a Breakthrough Trading Strategy with Resonance of Large and Small Periods, Combining Tools Such as Moving Averages, Bollinger Bands, and ATR to Determine Market Trends and Generate Trading Signals, Helping You Better Grasp Long and Short Trading Opportunities.
Usage Tips:
A long position in the large period MA indicates an upward trend, and a short position in the large period MA indicates a downward trend.
In an upward trend, only go long and not short. A 🚀 icon indicates a long signal, and a 🎉 icon indicates a closing signal.
In a downward trend, only go short and not long. A 📉 icon indicates a short signal, and a 🎉 icon indicates a closing signal.
Moving Averages (MA) Settings:
Users can choose to display two moving averages (MA1 and MA2) and configure their type (SMA, EMA, SMMA, WMA, VWMA), period, data source, and color.
When MA1 is greater than MA2, the area is filled with red; otherwise, it is filled with green.
Bollinger Bands:
Calculate the upper and lower Bollinger Bands (BBUpper and BBLower) based on the user's input period and standard deviation.
Use color to fill the Bollinger Bands area.
ATR Filter:
Set a filter using the Average True Range (ATR) to determine the position of the trend line.
Users can choose whether to use the ATR filter.
Trend Line:
Calculate and draw the trend line based on Bollinger Bands signals (BBSignal) combined with the ATR filter.
Generate buy or sell signals when the price breaks through the upper or lower Bollinger Bands.
Buy/Sell Signals:
Generate a buy signal when the trend direction changes from negative to positive, and a sell signal when it changes from positive to negative.
Use icons to represent buy/sell signals, with the display of icons depending on user configuration.
Moving Averages
Smoothed Heiken Ashi Candles with Delayed SignalsThis is a trend-following approach that uses a modified version of Heiken Ashi candles with additional smoothing. Here are the key components and features:
1. Heiken Ashi Modification: The strategy starts by calculating Heiken Ashi candles, which are known for better trend visualization. However, it modifies the traditional Heiken Ashi by using Exponential Moving Averages (EMAs) of the open, high, low, and close prices.
2. Double Smoothing: The strategy applies two layers of smoothing. First, it uses EMAs to calculate the Heiken Ashi values. Then, it applies another EMA to the Heiken Ashi open and close prices. This double smoothing aims to reduce noise and provide clearer trend signals.
3. Long-Only Approach: As the name suggests, this strategy only takes long positions. It doesn't short the market during downtrends but instead exits existing long positions when the sell signal is triggered.
4. Entry and Exit Conditions:
- Entry (Buy): When the smoothed Heiken Ashi candle color changes from red to green (indicating a potential start of an uptrend).
- Exit (Sell): When the smoothed Heiken Ashi candle color changes from green to red (indicating a potential end of an uptrend).
5. Position Sizing: The strategy uses a percentage of equity for position sizing, defaulting to 100% of available equity per trade. This should be tailored to each persons unique approach. Responsible trading would use less than 5% for each trade. The starting capital used is a responsible and conservative $1000, reflecting the average trader.
This strategy aims to provide a smooth, trend-following approach that may be particularly useful in markets with clear, sustained trends. However, it may lag in choppy or ranging markets due to its heavy smoothing. As with any strategy, it's important to thoroughly back test and forward test before using it with real capital, and to consider using it in conjunction with other analysis tools and risk management techniques.
Other smoothed Heiken Ashi indicators do not provide buy and sell signals, and only show the change in color to dictate a change in trend. By adding buy and sell signals after the close of the changing candle, alerts can be programmed, which helps this be a more hands off protocol to experiment with. Other smoothed Heiken Ashi indicators do not allow for alarms to be set.
This is a unique HODL strategy which helps identify a change in trend, without the noise of day to day volatility. By switching to a line chart, it removes the candles altogether to avoid even more noise. The goal is to HODL a coin while the color is bullish in an uptrend, but once the indicator gives a sell signal, to sell the holdings back to a stable coin and let the chart ride down. Once the chart gives the next buy signal, use that same capital to buy back into the asset. In essence this removes potential losses, and helps buy back in cheaper, gaining more quantitity fo the asset, and therefore reducing your average initial buy in price.
Most HODL strategies ride the price up, miss selling at the top, then riding the price back down in anticipation that it will go back up to sell. This strategy will not hit the absolute tops, but it will greatly reduce potential losses.
Smoothed Heiken Ashi Strategy Long OnlyThis is a trend-following approach that uses a modified version of Heiken Ashi candles with additional smoothing. Here are the key components and features:
1. Heiken Ashi Modification: The strategy starts by calculating Heiken Ashi candles, which are known for better trend visualization. However, it modifies the traditional Heiken Ashi by using Exponential Moving Averages (EMAs) of the open, high, low, and close prices.
2. Double Smoothing: The strategy applies two layers of smoothing. First, it uses EMAs to calculate the Heiken Ashi values. Then, it applies another EMA to the Heiken Ashi open and close prices. This double smoothing aims to reduce noise and provide clearer trend signals.
3. Long-Only Approach: As the name suggests, this strategy only takes long positions. It doesn't short the market during downtrends but instead exits existing long positions when the sell signal is triggered.
4. Entry and Exit Conditions:
- Entry (Buy): When the smoothed Heiken Ashi candle color changes from red to green (indicating a potential start of an uptrend).
- Exit (Sell): When the smoothed Heiken Ashi candle color changes from green to red (indicating a potential end of an uptrend).
5. Position Sizing: The strategy uses a percentage of equity for position sizing, defaulting to 100% of available equity per trade. This should be tailored to each persons unique approach. Responsible trading would use less than 5% for each trade. The starting capital used is a responsible and conservative $1000, reflecting the average trader.
This strategy aims to provide a smooth, trend-following approach that may be particularly useful in markets with clear, sustained trends. However, it may lag in choppy or ranging markets due to its heavy smoothing. As with any strategy, it's important to thoroughly backtest and forward test before using it with real capital, and to consider using it in conjunction with other analysis tools and risk management techniques.
This has been created mainly to provide data to judge what time frame is most profitable for any single asset, as the volatility of each asset is different. This can bee seen using it on AUXUSD, which has a higher profitable result on the daily time frame, whereas other currencies need a higher or lower time frame. The user can toggle between each time frame and watch for the higher profit results within the strategy tester window.
Other smoothed Heiken Ashi indicators also do not provide buy and sell signals, and only show the change in color to dictate a change in trend. By adding buy and sell signals after the close of the candle in which the candle changes color, alerts can be programmed, which helps this be a more hands off protocol to experiment with. Other smoothed Heiken Ashi indicators do not allow for alarms to be set.
This is a unique HODL strategy which helps identify a change in trend, without the noise of day to day volatility. By switching to a line chart, it removes the candles altogether to avoid even more noise. The goal is to HODL a coin while the color is bullish in an uptrend, but once the indicator gives a sell signal, to sell the holdings back to a stable coin and let the chart ride down. Once the chart gives the next buy signal, use that same capital to buy back into the asset. In essence this removes potential losses, and helps buy back in cheaper, gaining more quantitity fo the asset, and therefore reducing your average initial buy in price.
Most HODL strategies ride the price up, miss selling at the top, then riding the price back down in anticipation that it will go back up to sell. This strategy will not hit the absolute tops, but it will greatly reduce potential losses.
NEXT Volatility-Momentum Moving Average (VolMo MA)Overview
Volatility-Momentum Moving Average (VolMo MA) incorporates two key market dynamics into its price averaging formula: volatility and momentum. Traditional MAs, like EMA, often lag in volatile markets or during strong price moves. By integrating volatility (price range variability) and momentum (rate of price change), we developed a more adaptive and responsive MA.
Key Concepts
Volatility Calculation: Average True Range (ATR) used to quantify market volatility. ATR measures the average price range over a specified period.
Momentum Calculation: Relative Strength Index (RSI) applied to assess market momentum. RSI evaluates the speed and magnitude of price movements.
Moving Average Adjustment: Dynamically weight EMA based on volatility and momentum metrics. When volatility is high, the MA's responsiveness increases. Similarly, strong momentum accelerates the MA adjustment.
Input Parameters:
Length - length of Volatility-Momentum Moving Average (VolMo MA). This input also affects how far back momentum and volatility are considered. Experimentation is highly encouraged.
Sensitivity - controls the Volatility-Momentum adjustment rate applied to the MA. Default is 50, but experimentation is highly encouraged.
Source - data used for calculating the MA, typically Close, but can be used with other price formats and data sources as well. A lot of potential here.
Note: The VolMo MA Indicator plots, both, the Volatility-Momentum Moving Average and EMA for base comparison. You can disable EMA by unticking it under Style tab.
NASDAQ 100 Futures ( CME_MINI:NQ1! ) 1-minute
The following example compares VolMo MA (blue) to EMA (green). Length set to 34, Sensitivity to 40. Notice the difference in responsiveness as price action consolidates and breaks out. The VolMo MA can be used for scalping at lower Length values and 40-60 Sensitivity or as a dynamic support/resistance line at higher Length values.
Alerts
Here is how to set price crossing VolMo MA alerts: open a TradingView chart, attach NEXT NEXT Volatility-Momentum Moving Average (VolMo MA), right-click on chart -> Add Alert. Condition: Symbol (e.g. NQ) >> Crossing >> NEXT Volatility-Momentum Moving Average (VolMo MA) >> VolMo MA >> Once Per Bar Close.
Development Roadmap
Our initial research shows plenty of edge potential for the VolMo MA when used, both, by itself, or interacting with other indicators. To that end, we'll be adding the following features over the next few months:
Visual signal generation via interaction with EMA, price action, and other MAs and indicators - you can already do alerts with TradingView's built-in Alert functionality
Addition of a second, fully configurable VolMo MA for a Double VolMo MA cross strategy
VolMo MA MACD
Automation and Backtesting via Strategy
Uptrick: Comprehensive Market Sentiment DashboardIntroducing "Uptrick: Comprehensive Market Sentiment Dashboard"—an advanced trading indicator designed to provide traders with a complete and detailed overview of market conditions for multiple assets at a glance. This sophisticated tool is engineered to enhance your trading decisions by consolidating key technical indicators into a single, easy-to-read dashboard. Perfect for both novice and experienced traders, the Uptrick Dashboard is built to offer a competitive edge in the dynamic world of trading.
### Purpose
The primary goal of the Uptrick Dashboard is to equip traders with a powerful, all-in-one solution that streamlines market analysis. By combining multiple technical indicators and presenting their outputs in a cohesive format, this dashboard eliminates the need to toggle between different charts and tools. It delivers a clear, immediate understanding of market sentiment across various assets, enabling faster and more informed trading decisions.
### Features and Inputs
The Uptrick Dashboard integrates several widely-used technical indicators, each customizable to fit your specific trading strategy. Here’s a detailed breakdown of the features and input parameters:
1. **Exponential Moving Average (EMA)**
- **Input Parameter:** EMA Length
- **Purpose:** Tracks the asset’s price trend by smoothing out price data over a specified period.
2. **Simple Moving Average (SMA)**
- **Input Parameter:** SMA Length
- **Purpose:** Provides a simpler, more straightforward calculation of price trends compared to EMA.
3. **Relative Strength Index (RSI)**
- **Input Parameter:** RSI Length
- **Purpose:** Measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
4. **Moving Average Convergence Divergence (MACD)**
- **Input Parameters:** MACD Fast Length, MACD Slow Length, MACD Signal Length
- **Purpose:** Identifies changes in the strength, direction, momentum, and duration of a trend.
5. **Bollinger Bands (BB)**
- **Input Parameters:** BB Length, BB StdDev
- **Purpose:** Provides a visual representation of volatility and relative price levels over a specified period.
6. **Ichimoku Cloud**
- **Input Parameters:** Ichimoku Tenkan Length, Ichimoku Kijun Length, Ichimoku Span A Length, Ichimoku Span B Length
- **Purpose:** Offers a comprehensive view of support and resistance levels, momentum, and trend direction.
7. **Supertrend**
- **Input Parameters:** Supertrend ATR Length, Supertrend Multiplier
- **Purpose:** Combines trend direction and volatility to provide buy and sell signals.
8. **Symbols Input**
- **Input Parameter:** Symbols (comma separated)
- **Purpose:** Allows users to specify and monitor multiple assets simultaneously.
### Customization and Flexibility
Each indicator within the Uptrick Dashboard is fully customizable, allowing you to adjust parameters to align with your trading strategy. Whether you prefer short-term trading with faster indicators or long-term analysis with slower, more reliable data, this dashboard can be tailored to meet your needs.
### Key Differentiators
What sets the Uptrick Dashboard apart from other market sentiment tools is its unparalleled integration of multiple technical indicators into a single, comprehensive view. This consolidation not only saves time but also provides a more holistic understanding of market conditions. Here’s what makes the Uptrick Dashboard unique:
- **Integrated Analysis:** Combines multiple indicators to provide a unified market sentiment.
- **Customizable Inputs:** Each indicator can be adjusted to suit your specific trading strategy.
- **Multi-Asset Monitoring:** Track and analyze several assets simultaneously.
- **User-Friendly Interface:** Designed for ease of use, presenting data in an organized, visually appealing format.
- **Real-Time Updates:** Continuously updates to reflect the latest market data.
### Future Updates
We are committed to continually improving the Uptrick Dashboard to ensure it remains a valuable tool in your trading arsenal. Users can expect regular updates that will introduce new features, enhance existing functionalities, and incorporate user feedback. Future updates may include:
- **Additional Indicators:** Introducing new technical indicators to provide even deeper insights.
- **Enhanced Visualization:** Improved graphical representations for better data interpretation.
- **Automation Features:** Tools to automate certain trading strategies based on indicator outputs.
- **User Customization:** More options for personalizing the dashboard to fit individual preferences.
### How It Works
The Uptrick Dashboard operates by calculating key technical indicators for each specified asset and displaying the results in a neatly organized table. Here’s a closer look at how it works:
1. **Input Parameters:** Users input their preferred settings for each indicator, including the list of assets to monitor.
2. **Data Retrieval:** The dashboard retrieves real-time market data for each specified asset.
3. **Indicator Calculation:** Using the input parameters, the dashboard calculates the values for each technical indicator.
4. **Visual Display:** Results are displayed in a table format, highlighting key information such as price, 24-hour change, and sentiment indicators (e.g., MACD, RSI, Bollinger Bands).
5. **Final Position:** The dashboard calculates an overall market position (Long, Short, or Neutral) based on the combined outputs of the individual indicators.
### Conclusion
The "Uptrick: Comprehensive Market Sentiment Dashboard" is a must-have tool for traders seeking a streamlined, efficient way to monitor market conditions across multiple assets. By integrating essential technical indicators into a single, customizable dashboard, it provides a comprehensive view of market sentiment, facilitating quicker and more informed trading decisions. Stay ahead of the market with Uptrick and experience the difference that a well-designed, all-in-one trading tool can make.
With regular updates and a commitment to excellence, the Uptrick Dashboard is poised to evolve continually, adapting to the changing needs of traders and the dynamics of the market. Whether you’re a seasoned trader or just starting out, the Uptrick Dashboard offers the insights and flexibility needed to enhance your trading strategy. Invest in the Uptrick Dashboard today and take your trading to the next level.
MA DifferenceThe MA Difference indicator shows 3 histograms representing differences in moving averages between a base MA (10) and 3 MA's: short (20), medium (50), and long (200). It also shows an exponentially weighted trend line which can indicate breakout opportunities, has alerts on all base <-> X crossovers, and shows potential consolidation zones where MA differences are below a user-defined tolerance.
The suggested way to use this indicator is to place a trade when the trend line is above the histogram (and filling the space between them). This indicates that the current MA values are significantly above or below the expected range and that prices are in the midst of breaking out. You may also consult the consolidation zones to eliminate false breakouts and momentary changes in trend. You may also consult the various short, medium, and long crossovers and crossunders to time entries and exits accordingly.
Histograms
The 3 histograms represent the differences between:
Base MA (10) and Short MA (20)
Base MA (10) and Medium MA (50)
Base MA (10) and Long MA (200)
All 4 moving average values can be configured in the indicator's settings. Consistency in direction and color of the histogram indicates a consistent trend across the various moving averages.
Trend Line
The trend line is an exponentially weighted average of the 3 moving averages, scaled by a factor configurable in the settings. When using the trend line, shading will be applied to the difference between the extremes of the histogram and the trend line to indicate that the chart is in a "breakout zone" and is beyond the normal, gradual sway of price action.
Crossovers/Crossunders
You may optionally turn on crossovers and crossunders in the indicator's settings to display when a short, medium, or long crossover occurs against the base moving average. Likewise, alerts are available for each crossover and crossunder for each of the 3 moving average convergences.
Consolidation Zones
Consolidation zones, as well as a line representing the current amount of consolidation, can also be optionally drawn on the chart. These indicate when a security is likely in consolidation, according to the spread of various MA values.
TradeTale 1 Min Nifty/Banknifty/Crypto F&O ScalperThis script explains how 'MACD' along with Avg of Simple Moving Averages can be used to catch trend.
Simple Moving Average (MA):-
A simple moving average (SMA) is used in technical analysis, used to help smooth out price data by creating a constantly updated average price. A rising moving average indicates that the security is in an uptrend, while a declining moving average indicates a downtrend. here in this indicator we have used average of various SMA's.
Moving Average Convergence/Divergence (MACD):-
MACD is a technical indicator to identify price trends, measure trend momentum, and identify market entry points for bullish or bearish trend. Moving average convergence/divergence (MACD) is a trend-following momentum indicator that shows the relationship between two exponential moving averages (EMAs) of a security’s price. MACD traditional default settings is 26/12/9. Where MACD line is calculated by subtracting the 26 period exponential moving average (EMA) from the 12 period EMA and the signal line is a 9 period EMA of the MACD line. But in this indicator we have used modified values of MACD.
Logic of this indicator:-
Long signals when MACD is in Uptrend and is above Avg of SMA's. (also other calculations are used)
Short signals when MACD is in Downtrend and is below Avg of SMA's. (also other calculations are used)
How to Use:-
Long: when Long appears + Bullish Candles + price above Avg SMA Line. (Bullish Entry/ Bear Exit)
Short: when Short appears + Bearish Candles + price below Avg SMA Line. (Bearish Entry/ Bull Exit)
Chart Timeframe:-
Scalping on 1 Minute Chart. But this Indicator works on all timeframes.
Traders should set stop loss and take profit levels as per risk reward ratio.
Note:
- Hide the actual candles for better view from chart setting.
- User can also adjust the sensitivity of the indicator from the setting. Default value is "3"
Like other technical indicators, This indicator also is not a holy grail. It can only assist you in building a good strategy. You can only succeed with proper position sizing, risk management and following correct trading Psychology (No overtrade, No greed, No revenge trade etc).
THIS INDICATOR IS FOR EDUCATIONAL PURPOSE AND PAPER TRADING ONLY. YOU MAY PAPER TRADE TO GAIN CONFIDENCE AND BUILD FURTHER ON THESE. PLEASE CONSULT YOUR FINANCIAL ADVISOR BEFORE INVESTING. WE ARE NOT SEBI REGISTERED.
Hope you all like it
happy learning.
FVG Positioning Average with 200EMA Auto Trading [Pakun]Description
Strategy Name and Purpose
FVG Positioning Average with 200EMA Auto Trading
This strategy uses Fair Value Gaps (FVG) combined with a 200-period Exponential Moving Average (EMA) and Average True Range (ATR) to generate trend-based trading signals. It is designed to help traders identify high-probability entry points by leveraging the gaps between fair value prices and current market prices.
Originality and Usefulness
This script combines multiple indicators to create a cohesive trading strategy that is greater than the sum of its parts. While FVG is a powerful tool on its own, combining it with the EMA and ATR adds layers of confirmation and risk management, enhancing its effectiveness. Here’s how the components work together:
Fair Value Gap (FVG): Identifies gaps in the market where price action has not fully filled, indicating potential reversal or continuation points.
200-period Exponential Moving Average (EMA): Acts as a trend filter to ensure trades are taken in the direction of the overall trend, improving the probability of success.
Average True Range (ATR): Used to filter out insignificant gaps and set dynamic stop-loss levels based on market volatility, enhancing risk management.
Entry Conditions
Long Entry
The close price crosses above the downtrend FVG.
The close price, FVG up average, and down average are all above the 200 EMA, indicating a strong bullish trend.
Short Entry
The close price crosses below the uptrend FVG.
The close price, FVG up average, and down average are all below the 200 EMA, indicating a strong bearish trend.
Exit Conditions
For long positions, the stop loss is set at the recent low, and the take profit is set at a point with a risk-reward ratio of 1:1.5.
For short positions, the stop loss is set at the recent high, and the take profit is set at a point with a risk-reward ratio of 1:1.5.
Risk Management
Account Size: 1,000,000 yen
Commission and Slippage: 2 pips commission and 1 pip slippage per trade
Risk per Trade: 10% of account equity
The stop loss is based on the recent low or recent high, ensuring trades are exited when the market moves against the position.
Settings Options
FVG Lookback: Set the lookback period for calculating FVGs.
Lookback Type: Choose the type of lookback (Bar Count or FVG Count).
ATR Multiplier: Set the multiplier for ATR to filter significant gaps.
EMA Period: Set the period for the EMA to adjust the trend filter sensitivity.
Show FVGs on Chart: Choose whether to display FVGs on the chart for visual confirmation.
Bullish/Bearish Color: Set the color for bullish and bearish FVGs to distinguish them easily.
Show Gradient Areas: Choose whether to display gradient areas to highlight the zones of interest.
Sufficient Sample Size
The strategy has been backtested with 113 trades, providing a sufficient sample size to evaluate its performance.
Notes
This strategy is based on historical data and does not guarantee future results.
Thoroughly backtest and validate results before using in live trading.
Market volatility and other external factors can affect performance and may not yield expected results.
Acknowledgment
This strategy uses the FVG Positioning Average Strategy indicator. Thanks to for their contribution.
Clean Chart Explanation
The script is published with a clean chart to ensure that its output is readily identifiable and easy to understand. No other scripts are included on the chart, and any drawings or images used are specifically to illustrate how the script works.
D2MAThe script is called "D2MA" (Distance to Moving Average). It calculates the distance between the closing price and a user-selected type of moving average (MA). It also plots this distance on a chart, allowing users to see how far the price is from the chosen moving average. Users can choose to display this distance as either an absolute value or as a percentage.
Input Parameters
Length (len): The number of bars (or periods) used to calculate the moving average.
Source (src): The price data used for calculations, typically the closing price.
Percentage Distance (pc): A boolean option to display the distance as a percentage instead of an absolute value.
MA Type (maType): The type of moving average to use.
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Hull Moving Average (HMA)
Arnaud Legoux Moving Average (ALMA)
Triple Exponential Moving Average (T3)
Power Weighted Moving Average (PWMA)
The script includes functions to calculate different types of moving averages:
The difference between the source price (e.g., closing price) and the calculated moving average. if Distance as Percentage , the distance expressed as a percentage of the moving average value.
Plotting the Data
Signal Line: The signal line changes colour (green or red) based on whether the distance is increasing or decreasing.
Visual Representation
How to Use
Identify Trends: By seeing how far the price is from a selected moving average, traders can gauge the strength of a trend.
Spot Reversals: Significant deviations from the moving average can signal potential reversals.
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!
Exponential Smoothing FilterThe digital exponential filter, in finance known as Exponential Moving Average (EMA) , can be used as a technical indicator for chart analysis to visualize uptrends and downtrends in the market. Unlike the classic simple moving average, the EMA requires only two values for its calculation: the last calculated exponential average price and the current price. This is a simple and fast calculation - even for wide smoothing windows. For further details and the math please refer to the "exponential smoothing" article on Wikipedia.
Here are some additional key points about the exponential moving average:
The EMA can react more quickly to price changes because it can give more weight to current prices - depending on your parameter settings.
Short-term, disruptive price fluctuations are smoothed out well, making prevailing trends more visible.
Despite good smoothing properties, it delays the input values slightly, so it can follow sudden trend changes well.
The EMA is well suited to dynamic markets and trading strategies.
The filter is a good basis for further processing such as gradient analysis.
How to use
When you add the script to your charts, you'll immediately see a thin orange line across your time series, smoothing out price fluctuations.
There are only two parameters to set
smoothing factor between 0.0000 = no smoothing and 0.9999 = strong smoothing
input source : open, high, low, close hl2, etc.
Chart output
In the example chart above, you can see that the orange line follows the highs and lows better than the blue line , which is a simple moving average (SMA).
Additionally, the orange line has a shorter lag, or reacts faster when the trend of the original price data suddenly changes. These characteristics are critical for buying and selling decisions: quickly reacting and tracking highs and lows while providing a smooth line that filters out distracting noise.
Ripster MTF CloudsDescription:
MTF EMA Cloud By Ripster
EMA Cloud System is a Trading System Invented by Ripster where areas are shaded between two desired EMAs. The concept implies the EMA cloud area serves as support or resistance for Intraday & Swing Trading. This can be utilized effectively on 10 Min for day trading and 1Hr/Daily for Swings. Ripster himself utilizes various combinations of the 5-12, 34-50, 8-9, 20-21 EMA clouds but the possibilities are endless to find what works best for you.
“Ideally, 5-12 or 5-13 EMA cloud acts as a fluid trendline for day trades. 8-9 EMA Clouds can be used as pullback Levels –(optional). Additionally, a high level price over or under 34-50 EMA clouds confirms either bullish or bearish bias on the price action for any timeframe” – Ripster
This indicator is an extension of the Ripster EMA Clouds. It allows you to visualize Exponential Moving Average (EMA) clouds from any time frame on your current chart, regardless of the chart's own time frame. This functionality is especially useful for traders who want to monitor higher time frame trends and support/resistance levels while trading on lower time frames.
What does this code do?
The Ripster MTF Clouds indicator displays two sets of EMA clouds. Each set consists of a short EMA and a long EMA. By default, the indicator uses Daily 20/21 and 50/55 EMAs, but you can customize these settings to fit your trading strategy. The EMAs are plotted on your chart along with their corresponding clouds, colored for easy differentiation:
EMA 1 (default 50/55): Plotted in blue.
EMA 2 (default 20/21): Plotted in teal.
The indicator uses the security function to fetch EMA values from higher time frames and plots them on your current chart, allowing you to see how these higher time frame EMAs interact with your current time frame's price action.
How to use this indicator:
Adjust Resolution:
Set the "Resolution" input to the time frame from which you want to fetch EMA values. For example, set it to "1H" if you want to see 1-hour EMAs on your current chart.
Customize EMAs:
Modify the "EMA 1 Short Length" and "EMA 1 Long Length" inputs to change the default 50/55 EMAs.
Adjust the "EMA 2 Short Length" and "EMA 2 Long Length" inputs to change the default 20/21 EMAs.
Monitor Clouds:
The indicator fills the area between the short and long EMAs, creating a cloud that helps visualize the trend. A blue cloud indicates the area between the EMA 1 pair, while a teal cloud indicates the area between the EMA 2 pair.
Use Multiple Instances:
You can add multiple instances of this indicator to your chart to monitor multiple higher time frames simultaneously. For instance, one instance can show daily clouds while another shows hourly clouds.
Integration with Trading Strategy:
Use this indicator to identify higher time frame trends and support/resistance levels, which can help improve your trading decisions on lower time frames.
For example, you can go long when the stock is above the 50-55 EMA clouds and 20-21 EMA clouds with daily resolution on a 10-minute chart and short when it is below it.
Similarly, you can short a stock under the 1-hour 34/50 EMA clouds while still trading on a 10-minute chart.
Uptrick: Hull Suite IndicatorThe "Uptrick: Hull Suite Indicator" is a powerful technical analysis tool designed to identify trends and potential buy or sell signals in the financial markets. This indicator leverages the Hull Moving Average (HMA), known for its superior smoothness and reduced lag compared to traditional moving averages, making it a preferred choice for traders seeking more accurate trend detection.
Purpose
The primary purpose of the Uptrick: Hull Suite Indicator is to provide traders with a clear visual representation of the market trend and to generate actionable signals for trading decisions. It achieves this by:
Smoothing Price Data: Using the Hull Moving Average (HMA) to smooth price data, reducing noise and highlighting the underlying trend.
Trend Identification: Coloring the HMA line green or red based on its slope to indicate uptrends and downtrends respectively.
Signal Generation: Offering optional signal lines and background highlights to emphasize bullish or bearish conditions.
Actionable Alerts: Placing 'Buy' and 'Sell' labels directly on the chart when specific conditions are met, helping traders make timely decisions.
Key Features and Benefits
Advanced Smoothing Technique: The HMA is calculated using weighted moving averages, which smooths price data more effectively than simple or exponential moving averages, resulting in a more responsive and accurate trend line.
Dynamic Trend Coloring: The HMA line changes color based on its slope (green for upward, red for downward), providing an immediate visual cue of the current trend direction.
Signal Line Option: Traders can enable a signal line that represents a simple moving average of the HMA, offering an additional layer of trend confirmation.
Background Highlighting: The background color changes to a brighter shade when the HMA is above or below the signal line, highlighting trending periods and making it easier to spot potential trading opportunities.
Zero Line Reference: A horizontal zero line is included to give traders a reference point, aiding in the analysis of the HMA's position and slope.
Buy and Sell Labels: Automatic labeling of 'Buy' and 'Sell' signals based on HMA crossovers, providing clear entry and exit points.
Superior Performance
The Uptrick: Hull Suite Indicator stands out from other moving average-based indicators due to its:
Reduced Lag: By utilizing the Hull Moving Average, it minimizes lag while maintaining smoothness, allowing traders to react more quickly to market changes.
Enhanced Clarity: The combination of dynamic coloring, signal lines, and background highlights ensures that trends and signals are easy to identify, even for novice traders.
Customizability: Input parameters for HMA length, signal length, and signal line visibility allow traders to tailor the indicator to their specific trading style and preferences.
Overall, the Uptrick: Hull Suite Indicator is an exceptional tool for traders seeking a reliable and visually intuitive method to analyze market trends and make informed trading decisions. Its advanced features and superior smoothing capabilities provide a distinct advantage over traditional moving averages, making it an indispensable part of any trader's toolkit.
Uptrick : HMA Adaptive Trend and Volatility BandsThis proprietary trading indicator, named "Uptrick: HMA Adaptive Trend and Volatility Bands," offers a sophisticated blend of trend detection and volatility measurement for financial markets. Designed to overlay directly on the price chart, it leverages a variety of technical analysis tools to provide clear visual signals and comprehensive market insights.
Key Features:
Hull Moving Average (HMA) with Volatility Bands:
HMA Calculation: Utilizes the Hull Moving Average (HMA) for smooth trend identification, applied to the average price of high and low (hl2).
Adaptive Volatility Bands: Incorporates bands around the HMA based on a responsive standard deviation adjusted by an Exponential Moving Average (EMA). These bands dynamically expand and contract with market volatility.
Parameters:
Length: Configurable period for the HMA and standard deviation (default 14).
Multiplier: Determines the width of the bands (default 2.0).
MACD (Moving Average Convergence Divergence):
MACD Calculation: Includes fast and slow EMA periods with a signal line to detect trend direction and strength.
Histogram: Difference between MACD line and signal line to visualize momentum.
Parameters:
Fast Length: Short-term EMA period (default 6).
Slow Length: Long-term EMA period (default 13).
Signal Length: Signal line EMA period (default 5).
Relative Strength Index (RSI):
RSI Calculation: Measures the speed and change of price movements to identify overbought or oversold conditions.
Parameter:
RSI Length: Period for RSI calculation (default 10).
Average True Range (ATR):
ATR Calculation: Evaluates market volatility by considering the true range over a specified period.
Parameter:
ATR Length: Period for ATR calculation (default 7).
Volume and Liquidity Analysis:
Volume: Directly incorporated into the indicator to gauge market activity.
Liquidity: Assessed using the HMA of volume to determine the ease of trade execution.
Parameter:
Liquidity Length: Period for HMA of volume calculation (default 14).
Trend Identification:
Uptrend Conditions: A combination of positive MACD histogram, RSI above 50, ATR above its HMA, and volume exceeding liquidity.
Downtrend Conditions: Negative MACD histogram, RSI below 50, ATR above its HMA, and volume exceeding liquidity.
Visual Cues: Color-coded background (green for uptrend, red for downtrend) with corresponding labels on the price chart to indicate trend shifts.
Additional Moving Averages and Bollinger Bands:
SMA (Simple Moving Average): Includes 50 and 200-period SMAs for long-term trend analysis.
EMA (Exponential Moving Average): Includes a 20-period EMA for short-term trend analysis.
Bollinger Bands: Standard deviation bands around a 20-period SMA to measure market volatility and identify potential breakout points.
Information Table:
Real-Time Data Display: An optional table that provides current values for key metrics such as price, volume, liquidity, ATR, RSI, MACD histogram, SMAs, EMA, Buy+Sell Pressure, ATH, Global liquidity, Distance from ATH and Bollinger Bands, offering traders a comprehensive snapshot of market conditions.
Visualization:
Upper and Lower Bands: Clearly plotted with distinct colors (blue for upper, red for lower) to highlight volatility boundaries.
Trend Labels: Automatic annotations on the chart to signal uptrend and downtrend conditions.
Background Highlighting: Subtle shading to visually emphasize prevailing trend conditions.
This indicator is designed for traders seeking an advanced tool to detect trends, measure volatility, and make informed trading decisions based on comprehensive technical analysis. By integrating multiple technical indicators and providing clear visual signals, it aims to enhance trading accuracy and market insight.
No-Lag MA Crossover ScalperThe No Lag Crossover Scalper aims to capitalize on short-term trends using a combination of Hull Moving Average (HMA) for trend detection and multiple indicators for generating buy and sell signals. Here’s an overview of its components and approach:
1. Trend Detection with Hull Moving Averages (HMA) :
- Dual Hull MA Setup : Uses two Hull Moving Averages (HMA) to detect crossovers and crossunders, which are signals of short-term trend changes.
- No Lag Nature : HMAs are chosen for their ability to reduce lag compared to traditional moving averages, providing quicker responses to price movements.
2. Indicators for Signal Generation :
- Relative Strength Index (RSI) : Detects overbought and oversold conditions, generating signals when price movements diverge from RSI readings.
- Moving Average Convergence Divergence (MACD) : Provides signals based on the convergence and divergence of two moving averages, indicating potential trend reversals.
- Stochastic Oscillator (Stoch) : Identifies momentum shifts by comparing the current closing price to its range over a specific period.
- On-Balance Volume (OBV) : Measures buying and selling pressure based on volume flow, signaling potential changes in price direction.
- RSI Divergence : Looks for discrepancies between price action and RSI values, suggesting weakening trends and possible reversals.
3. Signal Generation Logic :
- Buy Signals : Generated when both HMAs cross over, supported by bullish indications from RSI, MACD, Stoch, OBV, or RSI divergence. At least 2 indicators must be true to generate a signal.
- Sell Signals : Triggered when HMAs cross under, complemented by bearish signals from the mentioned indicators.
4. Implementation and Optimization :
- Parameter Optimization : Fine-tuning of indicator periods and sensitivity settings to balance signal accuracy and responsiveness.
- Confirmation Mechanisms : Use of multiple indicators to confirm signals, reducing false positives and enhancing reliability.
Overall, the No Lag Crossover Scalper combines the speed of Hull Moving Averages with the reliability of multiple indicators to identify short-term trends effectively. By focusing on no lag indicators and confirming signals with diverse technical tools, it aims to capitalize on rapid market movements while managing risk through disciplined execution.
Credits: used TradingView ta library for a lot of the built-in indicators.
Disclaimer: This is still experimental beta version so use at your own risk.
HRC - Hash Rate Capitulation [Da_Prof]The HRC (Hash Rate Capitulation) indicator is a measure of hash rate trend strength. It is the fractional difference between a long and a short simple moving average (SMA) of the bitcoin hash rate. Historically, the 21-day and 105-day SMA work well for this indicator. The hash rate generally increases over time, but when the short SMA crosses below the longer-term SMA, it shows that miners are removing significant hash from the system. This state can be considered a miner "capitulation". Historically, this has marked depressed BTC prices and has led to higher prices within some months. Shout out to foosmoo, the hash rate oscillator indicator prompted this presentation.
Uptrick: Supply and Demand Zones with RSI, MACD and TP signalsUptrick: Supply and Demand Zones with RSI, MACD Signals and TP Signals
This script is a comprehensive technical analysis indicator for the TradingView platform, combining multiple strategies and indicators to assist traders in making informed decisions. The script incorporates supply and demand zones, Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD) signals, and trend and take profit signals. Below is a detailed explanation of each feature, its purpose, how to use it, and how it differs from other indicators.
Key Features
Supply and Demand Zones:
Purpose: Identify key price levels where buying (demand) or selling (supply) pressure has historically been strong.
Inputs:
supplySwingLength (Default: 20): Determines the number of bars to consider for identifying swing highs for supply zones.
demandSwingLength (Default: 20): Determines the number of bars to consider for identifying swing lows for demand zones.
zoneExtensionBars (Default: 50): Specifies how many bars to extend the zones to the right for visibility.
Usage: The indicator highlights these zones on the chart, making it easier for traders to spot potential reversal points.
Relative Strength Index (RSI) and Moving Average of RSI:
Purpose: RSI measures the speed and change of price movements, helping to identify overbought or oversold conditions. The moving average of RSI smoothens the RSI values to reduce noise.
Inputs:
lengthrsi (Default: 14): The period for calculating RSI.
lengthrsima (Default: 8): The period for calculating the moving average of RSI.
Usage: Buy and sell signals are generated when the RSI crosses above or below the 50 level, respectively, indicating potential entry or exit points.
MACD (Moving Average Convergence Divergence):
Purpose: MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price.
Inputs:
macdFastLength (Default: 12): The short period for the fast EMA.
macdSlowLength (Default: 26): The long period for the slow EMA.
macdSignalSmoothing (Default: 9): The period for the signal line.
Usage: Buy and sell signals are generated when the MACD line crosses above or below the signal line, respectively. This is an optional feature that can be enabled or disabled.
Signal Type Selection:
Purpose: Allows the trader to choose between RSI signals or supply/demand zone signals.
Inputs:
signalType (Default: "RSI"): Options are "RSI" or "Supply/Demand".
Usage: The chosen signal type determines the logic for plotting buy and sell signals on the chart.
Take Profit Signals:
Purpose: Provide take profit signals based on statistical volatility.
Inputs:
TheLength (Default: 20): The period for calculating the basis SMA and standard deviation.
tpmult (Default: 2.5): The multiplier for the standard deviation to set the take profit levels.
Usage: Generates buy and sell take profit signals when the price crosses over or under the calculated levels.
Detailed Explanation
Supply and Demand Zones Logic:
Swing High and Swing Low:
Functions isSwingHigh and isSwingLow determine whether the current high or low is the highest or lowest within a specified length, indicating potential supply or demand zones.
Zone Visualization:
When a new swing high or low is detected, a box is drawn from the identified bar and extended to the right for visibility. This helps traders visually identify these critical zones.
The boxes are updated dynamically as new swings are detected, ensuring the most relevant zones are always displayed.
RSI and MACD Signals:
RSI Calculation:
The script calculates the RSI using the specified period and then smooths it using an exponential moving average.
Buy and sell signals are generated based on the RSI's crossover with the 50 level.
MACD Calculation:
The MACD line and signal line are calculated using the specified periods.
Buy and sell signals are generated based on crossovers between the MACD line and the signal line.
These signals can be enabled or disabled based on user preference.
Trend Detection and Take Profit Signals:
Trend Detection:
The script calculates the basis (SMA) and upper and lower bands based on the standard deviation.
It determines the trend strength and direction by comparing the current price to these bands.
Take Profit Levels:
Take profit levels are set by multiplying the standard deviation by a user-defined multiplier.
Signals are plotted when the price crosses these take profit levels, indicating potential exit points.
Differences from Other Indicators
Combination of Multiple Indicators:
This script integrates supply and demand zones with RSI and MACD signals, offering a comprehensive tool for technical analysis.
Most other indicators focus on a single strategy, whereas this script provides a holistic view by combining multiple strategies.
Customizable Inputs:
The script offers a high degree of customization, allowing traders to adjust various parameters to suit their trading style and preferences.
Many indicators have fixed settings, limiting their adaptability to different market conditions.
Dynamic Zone Visualization:
The supply and demand zones are dynamically updated, providing real-time insights into key price levels.
This feature is not commonly found in other indicators, which may rely on static levels or less visually intuitive methods.
Usage Guide
Setup:
Add the script to your TradingView chart.
Adjust the input parameters as needed to match your trading strategy.
Interpreting Signals:
Supply and Demand Zones: Look for potential reversal points at these zones.
RSI and MACD Signals: Use these signals to identify potential entry and exit points.
Take Profit Signals: Set take profit levels based on the calculated signals to manage risk and lock in profits.
Combining Signals:
Combine signals from different features to increase the reliability of your trading decisions.
For example, a buy signal from RSI combined with a price approaching a demand zone may indicate a stronger buy opportunity.
Inputs Explained
Supply and Demand Zones:
supplySwingLength: The length of bars to consider for identifying swing highs.
demandSwingLength: The length of bars to consider for identifying swing lows.
zoneExtensionBars: The number of bars to extend the zones to the right.
RSI:
lengthrsi: The period for calculating the RSI.
lengthrsima: The period for calculating the EMA of the RSI.
MACD:
macdFastLength: The short period for the fast EMA.
macdSlowLength: The long period for the slow EMA.
macdSignalSmoothing: The period for the signal line.
Signal Type:
signalType: Choose between "RSI" and "Supply/Demand" signals.
Take Profit:
TheLength: The period for calculating the basis SMA and standard deviation.
tpmult: The multiplier for the standard deviation to set the take profit levels.
Conclusion
The "Uptrick: Supply and Demand Zones with RSI, MACD Signals and TP signals" script is a powerful and versatile indicator that combines multiple strategies to provide traders with a comprehensive analysis tool. Its detailed visualization of supply and demand zones, coupled with RSI and MACD signals, and trend-based take profit signals, makes it an invaluable tool for both novice and experienced traders. By understanding and utilizing its features effectively, traders can make more informed and confident trading decisions.
Flush Percent RangeFans of Woodies CCI may recognize the approach to this one. This is my attempt at using the same methods but for taking the highs and lows into account without the standard deviation of the CCI. The smoothness of other oscillators may not be ideal however the Williams Percent Range is a fast stochastic that also operates within a channel. This provides an alternative yet still complex view for the virtuoso. A unique feature is total utilization of the weighted moving average, from the standard to the more complex. A fun fact is the Hull Moving Average is actually calculated using weighted moving averages.
How to use:
The base length is for accuracy, the fast length is for catching all the moves(even the wrong ones sometimes.)
The bars back option will not flip the histogram/base trend to its bullish/bearish alternative until the base plot remains on the latter half of the oscillator for a certain number of bars. This can be set to zero if desired.
The factor controls the chop on the various levels. A higher number will increase it.
The oscillator levels are measuring slope, price relative to the average, and a summation of percent changes between the two. Both the baseline/histogram and the levels have color coding for bullishness, bearishness, and indecision(depending on the factor.) The fast line matches the indecision color by default. This is all customizable.
There are many potential ways to trade with this indicator. From hooks back toward the trend and range line crossovers to divergence and reversals. It's important to note the current performance of the oscillator levels. Time cycles may come in handy along with other forecasting tools.
Lastly, there are optional linear regression lines plotted on the chart. They're synchronized to the lengths in the oscillator. This is an additional visual aid to provide context to the direction of the channel.
Overall the Flush Percent Range is for analyzing multiple regression models within a single price channel. No smoothing, fast averages, and specified timeframes of highs/lows. Credit to Larry Williams for the original calculation and Ken Woods for design/methodology inspiration.
Multiple Instrument Automation ScreenerI have developed a Pine Script indicator on TradingView designed to demonstrate how to automate execution for ten instruments. This example utilizes a straightforward, Simple Moving Average (SMA) indicator. You can use it as a template, but use your indicator.
The indicator computes long/short signals based on the crossing of the SMA using the security function
It acts as a screener, presenting calculation results in an organized table format.
Utilizing the varip variable, the indicator sends alerts for multiple instruments sequentially rather than simultaneously.
For every generated signal, the indicator builds and sends a JSON execution command to a third-party tool, ensuring seamless integration and automation. You can use your own format.
Sent alerts look like this:
{"ticker": "DOGEBTC","action": "buy","price": "0.00000199","time": "1719754620658"}
Details and Limitations
Instrument Limit: The example is configured for ten instruments for simplicity. However, it can be expanded to handle up to 40 instruments.
Alert Rate Limit: There is a rate limit of 15 alerts in 3 minutes. Exceeding this limit may cause some alerts to be stopped. This can be managed by tracking the alert times and delaying some alerts, though this may affect the entry prices.
Timing of Signal Generation : The indicator processes signals at the bar close to the active instrument. Due to its computational complexity, there is a slight delay in collecting all records, potentially causing signals to reflect a few seconds before the bar closes. Care should be taken when executing based on these signals.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
Keltner Channel+EMA with Buy/Sell SignalsIndicator Name: Double Keltner Channel with EMA (Buy/Sell Signals)
Description:
This indicator is designed to help traders identify potential trend reversals and generate buy/sell signals in volatile markets. It combines two Keltner Channels with different sensitivities (multipliers of 2.6 and 3.8) to visualize dynamic support and resistance levels. The addition of a 20-period EMA helps confirm trend direction and filter out potential false signals.
How the Indicator Works:
• Keltner Channels: These bands dynamically adjust to changing market volatility, offering a visual representation of potential price ranges. The 2.6 multiplier Keltner Channel (KC) is more sensitive to price changes, potentially highlighting short-term reversals, while the 3.8 multiplier KC focuses on broader trend shifts.
• 20-period EMA: This widely used trend indicator helps smooth out price fluctuations and identify the underlying direction of the market.
• Buy Signals: Generated when a candle's low touches or crosses below either Keltner Channel's lower band, and within the next 6 candles, that same candle closes above the 20 EMA. This combination suggests a potential rejection of lower prices (support) and a possible resumption of the uptrend.
• Sell Signals: Mirror the buy signal logic but are triggered when the candle's high touches or crosses above either Keltner Channel's upper band and then closes below the 20 EMA within the next 6 candles. This indicates a potential rejection of higher prices (resistance) and a possible shift to a downtrend.
How to Use the Indicator:
1. Identify the Trend: Use the 20 EMA to determine the overall trend direction. Look for buy signals primarily in uptrends and sell signals in downtrends.
2. Confirm with RSI : While not included in this indicator, consider using a separate Relative Strength Index (RSI) with a length of 10, SMA type, MA length of 14, and standard deviation of 2. Look for oversold conditions (RSI below 20) to confirm buy signals and overbought conditions (RSI above 80) to confirm sell signals.
3.Apply Risk Management: Always use appropriate risk management techniques, such as stop-loss orders, to protect your capital.
Key Points:
• This indicator is most effective in trending markets.
• It is not a standalone trading system and should be used in conjunction with other analysis tools and confirmation.
• The Keltner Channel multiplier values can be adjusted to suit your trading style and risk tolerance.
Important Disclaimer:
This indicator is a modification of the original Keltner Channel code and is intended for educational and informational purposes only.
It does not constitute financial advice. Always conduct your own research and consult with a qualified financial advisor before making any investment decisions.
Bitcoin Trend Indicator█ Overview
The Trend Indicator script is designed to help traders identify the direction and strength of momentum in the price of a digital asset. By using historical price data, it calculates and provides daily signals indicating whether the asset is in an uptrend, downtrend, or no trend at all. The script can be applied to various cryptocurrencies, such as Bitcoin and Ether, using their respective price charts.
█ Key Concepts and Calculation Methodology
For calculations, the script uses the 180 most recent candles.
The Trend Indicator is calculated based on four moving average pairs (MAPs), which compare shorter-term and longer-term moving averages of the asset's price.
The moving averages are exponentially weighted, meaning more recent prices have a greater impact on the average than older prices. The half-life of the moving averages determines the weight decay.
The script uses the following moving average pairs:
1-day vs. 5-day
2.5-day vs. 10-day
5-day vs. 20-day
10-day vs. 40-day
█ Calculation Steps
Exponentially Weighted Moving Averages (EWMA):
Each moving average is calculated using an exponential decay factor and a normalization factor to adjust for the fixed window of 180 observations.
Component Inputs:
For each moving average pair, the script compares the shorter-term moving average to the longer-term moving average. If the shorter-term average is greater than or equal to the longer-term average, the component input is +1 (indicating an uptrend). If it is less, the input is -1 (indicating a downtrend).
Trend Indicator Value:
The script averages the four component inputs to produce a final value ranging from -1 to +1, representing the trend's direction and strength:
+1: Significant uptrend
+0.5: Uptrend
0: No trend
-0.5: Downtrend
-1: Significant downtrend
█ Learn More
For more information about the Bitcoin Trend Indicator and other trading tools, please visit my TradingView profile. Feel free to reach out with any questions or feedback.
2 MA Cross Cvg Dvg Slope Overview
This indicator combines the Moving Average Convergence Divergence (MACD) and two Moving Averages (MAs) to assess market momentum and trend direction. It aims to provide insights into the strength and direction of price movements by analyzing the MACD line, MAs slopes, and MA crossovers. Instead of eyeballing the exact MA crossovers and MAs slope steepness on the chart and MACD line changes on separate panes, this indicator pixelate the overloaded information or multiple indicators interpretation into a KISS "boolean" decision making.
Key Components
MACD Line
This line represents the difference between the fast MA and slow MA. It reflects short-term price momentum relative to the long-term trend.
Moving Averages (MAs)
Two types of MAs are utilized in this indicator:
Fast MA (short-term): Often a 9-period MA or similar, which reacts quickly to price changes.
Slow MA (long-term): Typically a 21-period MA or similar, which smooths out price fluctuations and identifies the longer-term trend.
Indicator Logic
MA Crossover: The crossover of the fast MA above the slow MA suggests a bullish trend, while a crossover below indicates a bearish trend.
MA Slope Analysis: The indicator also considers the slopes of both the fast and slow MAs to determine the direction:
Both MA Positive Slope: Indicates upward momentum or bullish trend.
Both MA Negative Slope: Indicates downward momentum or bearish trend.
One MA Positive Slope, the other Negative Slope: Indicates indecision.
MACD Line: MACD Line consecutively increase means increasing positive momentum, vice versa.
Interpretation
Uptrend: When fast MA cross over slow MA. Indicator show "+" symbol at top zone with value 0.5.
Additional Uptrend Confirmation: When both MAs have positive slope. Indicator show only green bar.
Uptrend Upward Momentum: MACD Line increase when fast MA above slow MA. Indicator show "." symbol value 0.75.
Uptrend Downward Momentum: MACD Line decrease when fast MA above slow MA. Indicator show "." symbol value 0.25.
Indecision: When one of the MA has positive slope, but another MA has negative slope. Indicator showing both red and green bar.
Downtrend: When fast MA cross under slow MA. Indicator show "+" symbol at bottom zone with value 0.5.
Additional Downtrend Confirmation: When both MAs have negative slope. Indicator show only red bar.
Downtrend Upward Momentum: MACD Line increase when fast MA below slow MA. Indicator show "." symbol value -0.25.
Uptrend Downward Momentum: MACD Line decrease when fast MA below slow MA. Indicator show "." symbol value -0.75.
Combination of above multiple interpretation can further derive different signal for Trend Starts, Trend Continuous, and Trend Reversals.
Usage
This indicator is valuable for traders seeking to:
Identify entry and exit points based on single or multiple combination of MAs and MACD Line signals.
Confirm trend direction using MAs cross over or cross under spotted easily with the "+" symbol above 0 or below 0.
Double confirm the trend based on two MAs align slope direction.
Understand momentum shifts and potential trend reversals with an easy 4 different dots at -0.75, -0.25, 0.25, and 0.75.
Conclusion
By combining MACD Line analysis with Moving Average slopes and crossovers, this indicator offers a comprehensive approach to assessing market momentum and trend direction. It provides clear signals for traders to make informed decisions on when to enter or exit positions, enhancing overall trading strategy effectiveness without the need of referring to multiple chart or zoom in and out of the price chart to identify the crossover and slope direction.
TrendFireOverview
They say "Trend is your Friend". In my short trading timeline, I've realized the difficult part is making this friendship to happen. Although, not impossible.
Trend Fire is one of the trend following strategy amongst many strategies out there. But the unique part of Trend Fire lies in the implementation and its accuracy to identify healthy Trends. Trend Fire is a purely Mathematical Indicator and aims for generating more successful trade signals. It has a unique strategy to avoid sideways market, false signals, and calculation to find entry for Trends, hence, more quality of trades.
I started my trading journey by observing the market movement for a long time as a beginner trader. Over time, I've realized that profit maximization can happen only if I can properly identify long trend. The reason why I was fascinated with trend following strategies and keen to solve the problems that trend following has.
Approach
In most typical trend following strategy setup, Trend identification starts by using fast and long period moving average crossovers. The fact that, moving averages are lagging in nature, it fails to identify good trends and produce many false signals. Although, it generates signals for trend also along with the false signals.
My aim was to reduce the false signals that occurs during consolidation and gain more accuracy on detecting healthy trends. The reason why I've obtained several approaches -
1. Moving Average Gap - during a consolidation period where lots of false signal generates in a crossover system, we can see that the distance/gap between the moving averages is very small, and in long trend the distance is large. So, a simple implementation was to limit the distance/gap by using a threshold to generate signals for trend outside the false signal threshold. This way, signals for long trend generates a few candles away but reduces false signal generation. For this Gap to work, a gap threshold of 20 works great to identify large trends and it is also a good entry point.
3. Volatility Adaptive moving average - As, this system is based on calculating distance/gap between MA's, the distance also doesn't always indicate proper momentum during a trend. The reason behind is that, 200 Moving average is also moving along the price during a trend and the distance/gap between moving averages vary according to the price. This also leads to generate false signals. So, it is more appropriate to replace 200 moving average with volatility adaptive moving average with a period of 1000, because adaptive moving average always reacts to the price and creates a larger distance/gap with price when there’s a trend in the market. Otherwise, it moves close with price in a sideways market. This nature of adaptability helps to reduce more false signals and gain more chances to take profitable trends.
This is also should be considered that no indicator system alone in trading is purely accurate. So, Trend Fire also is not an exception. There will be false signals, but the probability of getting false signal is less than the overall profits compared to any other moving average crossover system. The idea here is, maximizing your equity gradually over time rather than in a day and trade only when market is tradeable. Exactly how trading should be.
Usage
The usage of the indicator is simple. Once the indicator is applied in the mentioned currency pairs, it will show Buy/Sell signals along with Exit points in the chart.
The yellow line is the volatility adaptive moving average line which create distance during a trend and moves close to price when there is no trend. It is also used for trade exit indication, where the line meets with the price at the end of the trend and shows total pips gains/loss in a popup.
As, the indicator have built in adaptive and ATR base stop loss system, a good approach is to enable this in settings. So that, the loss will be minimum. The reason behind, by default the trades closed when a certain trend is over (When yellow line reaches close to the price after a gap) and this closing point not necessarily closes above/below signal. This is why Adaptive and ATR stop loss together make sure when trend reverses during a trend to take profit. Although, settings for Stop loss have been configured in the indicator, but if needed, settings can be changed for optimized results. It is also advisable to not to trade during a news alert as there are chances to generate false signal for high movement of the market.
Down-Sides
The indicator is dependent on the 1-minute time frame, larger time frames resulting in a signal overfitting condition. The indicator is set for only some selective currencies and commodities. So, its behavior might also change if the currency pair is out of scope. Below is the list of currencies which will work for now.
• EURUSD – FXCM
• GBPUSD – FXCM
• AUDUSD – OANDA
• USDCAD – OANDA
• GBPCAD – FXCM
• USDJPY – FXCM
• GBPJPY – OANDA
• EURJPY – OANDA
• CADJPY – FXCM
• AUDJPY – OANDA
• CHFJPY – OANDA
• EURAUD – FXCM
• GBPAUD – FXCM
• AUDCAD – OANDA
• EURGBP – FXCM
• EURCAD – OANDA
• XAUUSD – OANDA
• XAGUSD – OANDA
• USOIL – TVC
• BTCUSDT.P – BYBIT
More currency pair will be added in the future.
Settings
• Fast MA : Fast Moving Average
• Trend MA : Trend line Ema for determining Exit point
• Trend Threshold : Gap threshold between VAMA and Fast EMA
• VAMA : Volatility Adaptive Moving Average Length for calculation
• Enable Trend Coloring : Enable trend coloring on adaptive moving average line
• Enable Trailing Stop : Enable Adaptive and ATR trailing stop to exit trades
• Show Dashboard : Enable Trend and Signal value dashboard
• Position : Position of Dashboard in Chart
Alerts
Alert conditions are set for trade Entry and Exit scopes only and it does not mention Buy/Sell trade specifically in alerts for now. For that, you need to follow the chart after an alert as indicator shows Buy/Sell/Exit on chart. To create an alert based on the indicator follow these steps:
Go to the alert section (the alarm clock) -> create new alert -> select TrendFire in condition -> Below select TRADE ALERT and select date duration. In option select “once per bar close”, By default the message is set with ticker ID. Change the message if you want a personalized message.
Conclusion
As a programmer and problem solver, I have invested over a year to understand the market and tried to solve the problem that I faced as a trader. I wanted to develop an indicator that make sense and works logically in market. Also, the aim is to trade smartly with a strategy rather than biting in the bush randomly. Trade Fire is a result of countless failures and losses. I hope future contributions will grow this indicator to be more efficient down the line.
Thanks for reading…Happy Trading!
