Trailing Take Profit - Close Based📝 Description
This script demonstrates a new approach to the trailing take profit.
Trailing Take Profit is a price-following technique. When used, instead of setting a limit order for the take profit target exiting from your position at the specified price, a stop order is conditionally set when the take profit target is reached. Then, the stop price (a.k.a trailing price), is placed below the take profit target at a distance defined by the user percentagewise. On regular time intervals, the stop price gets updated by following the "Trail Barrier" price (high by default) upwards. When the current price hits the stop price you exit the trade. Check the chart for more details.
This script demonstrates how to implement the close-based Trailing Take Profit logic for long positions, but it can also be applied for short positions if the logic is "reversed".
📢 NOTE
To generate some entries and showcase the "Trailing Take Profit" technique, this script uses the crossing of two moving averages. Please keep in mind that you should not relate the Backtesting results you see in the "Strategy Tester" tab with the success of the technique itself.
This is not a complete strategy per se, and the backtest results are affected by many parameters that are outside of the scope of this publication. If you choose to use this new approach of the "Trailing Take Profit" in your logic you have to make sure that you are backtesting the whole strategy.
⚔️ Comparison
In contrast to my older "Trailing Take Profit" publication where the trailing take profit implementation was tick-based, this new approach is close-based, meaning that the update of the stop price occurs at the bar close instead of every tick.
While comparing the real-time results of the two implementations is like comparing apples to oranges, because they have different dynamic behavior, the new approach offers better consistency between the backtesting results and the real-time results.
By updating the stop price on every bar close, you do not rely on the backtester assumptions anymore (check the Reasoning section below for more info).
The new approach resembles the conditional "Trailing Exit" technique, where the condition is true when the current price crosses over the take profit target. Then, the stop order is placed at the trailing price and it gets updated on every bar close to "follow" the barrier price (high). On the other hand, the older tick-based approach had more "tight" dynamics since the trailing price gets updated on every tick leaving less room for price fluctuations by making it more probable to reach the trailing price.
🤔 Reasoning
This new close-based approach addresses several practical issues the older tick-based approach had. Those issues arise mainly from the technicalities of the TV Backtester. More specifically, due to the assumptions the Broker Emulator makes for the price action of the history bars, the backtesting results in the TV Backtester are exaggerated, and depending on the timeframe, the backtesting results look way better than they are in reality.
The effect above, and the inability to reason about the performance of a strategy separated people into two groups. Those who never use this feature, because they couldn't know for sure the actual effect it might have in their strategy, (even if it turned out to be more profitable) and those who abused this type of "repainting" behavior to show off, and hijack some boosts from the community by boasting about the "fake" results of their strategies.
Even if there are ways to evaluate the effectiveness of the tick-based approach that is applied in an existing strategy (this is out of the topic of this publication), it requires extra effort to do the analysis. Using this closed-based approach we can have more predictable results, without surprises.
⚠️ Caveats
Since this approach updates the trailing price on bar close, you must wait for at least one bar to close after the price crosses over the take profit target.
在腳本中搜尋"profitable"
Moving Average Crossover Strategy by AI and Anton ThomasDescription:
Indicator Name: Moving Average Crossover Strategy
Overview:
The "Moving Average Crossover Strategy" is a technical analysis indicator that combines moving averages and the Relative Strength Index (RSI) to identify potential buy and sell signals. It aims to capture trend reversals and momentum shifts in the market.
Key Components:
Moving Averages:
The indicator calculates two moving averages:
Fast Moving Average (10-period SMA): This average reacts more quickly to price changes.
Slow Moving Average (30-period SMA): This average provides a smoother trend indication.
A bullish signal occurs when the fast moving average crosses above the slow moving average (golden cross), indicating a potential uptrend.
A bearish signal occurs when the fast moving average crosses below the slow moving average (death cross), indicating a potential downtrend.
Relative Strength Index (RSI):
The RSI measures the strength and momentum of price movements on a scale of 0 to 100.
A reading above 70 indicates overbought conditions, suggesting a potential reversal to the downside.
A reading below 30 indicates oversold conditions, suggesting a potential reversal to the upside.
Trading Signals:
Buy Signal:
Generated when the fast moving average crosses above the slow moving average (longCondition).
Additionally, a buy signal is identified when the RSI is oversold (below 30) and then crosses above the oversold threshold.
The indicator plots a green triangle above the bar to indicate the buy signal.
Sell Signal:
Generated when the fast moving average crosses below the slow moving average (shortCondition).
Additionally, a sell signal is identified when the RSI is overbought (above 70) and then crosses below the overbought threshold.
The indicator plots a red triangle below the bar to indicate the sell signal.
Additional Features:
Bullish Engulfing Pattern:
Detects bullish engulfing candlestick patterns, indicating potential bullish reversals.
Plots a green triangle below the bar to highlight the bullish engulfing pattern.
Bearish Engulfing Pattern:
Detects bearish engulfing candlestick patterns, indicating potential bearish reversals.
Plots a red triangle above the bar to highlight the bearish engulfing pattern.
Oversold and Overbought Levels:
Plots horizontal dashed lines at 30 (oversold) and 70 (overbought) on the RSI indicator.
Usage:
Traders can use this indicator to identify potential entry and exit points in the market based on moving average crossovers, RSI conditions, and candlestick patterns. It provides a comprehensive view of trend direction and momentum.
Considerations:
Always confirm signals with other technical analysis tools and market conditions.
Implement proper risk management strategies to minimize potential losses.
Example:
A buy signal is generated when the fast moving average crosses above the slow moving average, and the RSI is below 30 but crosses above it.
A sell signal is generated when the fast moving average crosses below the slow moving average, and the RSI is above 70 but crosses below it.
If you find this indicator profitable, please support by gifting some USDT (BSC NETWORK): 0x2c5c2dd39bbcc9453dd1428d881da37dacd9bf47
or just a thank you email at antonthomasfull(at)gmail.com
Price Based Z-Trend - Strategy [presentTrading]█ Introduction and How it is Different
Z-score: a statistical measurement of a score's relationship to the mean in a group of scores.
Simple but effective approach.
The "Price Based Z-Trend - Strategy " leverages the Z-score, a statistical measure that gauges the deviation of a price from its moving average, normalized against its standard deviation. This strategy stands out due to its simplicity and effectiveness, particularly in markets where price movements often revert to a mean. Unlike more complex systems that might rely on a multitude of indicators, the Z-Trend strategy focuses on clear, statistically significant price movements, making it ideal for traders who prefer a streamlined, data-driven approach.
BTCUSD 6h LS Performance
█ Strategy, How It Works: Detailed Explanation
🔶 Calculation of the Z-score
"Z-score is a statistical measurement that describes a value's relationship to the mean of a group of values. Z-score is measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score. A Z-score of 1.0 would indicate a value that is one standard deviation from the mean. Z-scores may be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean."
The Z-score is central to this strategy. It is calculated by taking the difference between the current price and the Exponential Moving Average (EMA) of the price over a user-defined length, then dividing this by the standard deviation of the price over the same length:
z = (x - μ) /σ
Local
🔶 Trading Signals
Trading signals are generated based on the Z-score crossing predefined thresholds:
- Long Entry: When the Z-score crosses above the positive threshold.
- Long Exit: When the Z-score falls below the negative threshold.
- Short Entry: When the Z-score falls below the negative threshold.
- Short Exit: When the Z-score rises above the positive threshold.
█ Trade Direction
The strategy allows users to select their preferred trading direction through an input option.
█ Usage
To use this strategy effectively, traders should first configure the Z-score thresholds according to their risk tolerance and market volatility. It's also crucial to adjust the length for the EMA and standard deviation calculations based on historical performance and the expected "noise" in price data.
The strategy is designed to be flexible, allowing traders to refine settings to better capture profitable opportunities in specific market conditions.
█ Default Settings
- Trade Direction: Both
- Standard Deviation Length: 100
- Average Length: 100
- Threshold for Z-score: 1.0
- Bar Color Indicator: Enabled
These settings offer a balanced starting point but can be customized to suit various trading styles and market environments. The strategy's parameters are designed to be adjusted as traders gain experience and refine their approach based on ongoing market analysis.
Z-score is a must-learn approach for every algorithmic trader.
SVMKR_VIX_Based_LevelsThe "SVMKR_VIX_Based_Levels" script is a Pine Script indicator designed to assist intraday traders in identifying dynamic support and resistance levels based on the Volatility Index (VIX). Here's a breakdown of the script and its uses for intraday traders:
### Script Description:
1. **Data Retrieval**:
- The script fetches daily closing prices of the India VIX (volatility index) and a specified security using `request.security()`.
2. **Input Parameters**:
- Intraday traders can customize the indicator using input parameters such as the number of levels above and below the Pivot Day Close (PDC), line offset lengths, line extension options, and color and width settings for plotted lines.
3. **Plotting**:
- The script plots the PDC and VIX as hidden lines (`display=display.none`).
- Support and resistance levels are calculated based on the VIX and PDC, and plotted above and below the PDC with customizable colors and widths.
- Each level can be labeled with its corresponding price.
4. **Customization**:
- Intraday traders can choose to display or hide prices on the plotted lines.
- Colors and widths of plotted lines are customizable.
- Options to show minor and mild support levels provide additional flexibility.
5. **Labels**:
- Labels are added to indicate the PDC and the plotted levels, displaying corresponding prices if enabled.
### Uses for Intraday Traders:
1. **Dynamic Support and Resistance**: Intraday traders can benefit from dynamically adjusted support and resistance levels that respond to changes in market volatility, providing more accurate levels for trade planning.
2. **Market Sentiment Analysis**: By incorporating the VIX, a measure of market volatility and sentiment, the indicator provides insights into market sentiment, helping intraday traders gauge market mood and potential direction.
3. **Confirmation of Price Action**: The plotted support and resistance levels can serve as confirmation signals for intraday traders, helping validate trading decisions and enhance trading confidence.
4. **Adaptability to Changing Market Conditions**: Intraday traders often face rapidly changing market conditions. The indicator's ability to adapt to changes in volatility ensures that plotted levels remain relevant and responsive, aiding traders in adjusting their strategies accordingly.
5. **Trade Planning and Execution**: Intraday traders can use the plotted support and resistance levels to identify potential entry and exit points, set profit targets and stop-loss levels, and plan their trades more effectively.
Overall, the "SVMKR_VIX_Based_Levels" indicator provides intraday traders with a valuable tool for dynamic support and resistance identification, market sentiment analysis, confirmation of price action, and trade planning and execution, ultimately assisting them in making more informed and profitable trading decisions in the intraday timeframe.
Channels With NVI Strategy [TradeDots]The "Channels With NVI Strategy" is a trading strategy that identifies oversold market instances during a bullish trading market. Specifically, the strategy integrates two principal indicators to deliver profitable opportunities, anticipating potential uptrends.
2 MAIN COMPONENTS
1. Channel Indicators: This strategy gives users the flexibility to choose between Bollinger Band Channels or Keltner Channels. This selection can be made straight from the settings, allowing the traders to adjust the tool according to their preferences and strategies.
2. Negative Volume Indicator (NVI): An indicator that calculates today's price rate of change, but only when today's trading volume is less than the previous day's. This functionality enables users to detect potential shifts in the trading volume with time and price.
ENTRY CONDITION
First, the assets price must drop below the lower band of the channel indicator.
Second, NVI must ascend above the exponential moving average line, signifying a possible flood of 'smart money' (large institutional investors or savvy traders), indicating an imminent price rally.
EXIT CONDITION
Exit conditions can be customized based on individual trading styles and risk tolerance levels. Traders can define their ideal take profit or stop loss percentages.
Moreover, the strategy also employs an NVI-based exit policy. Specifically, if the NVI dips under the exponential moving average – suggestive of a fading trading momentum, the strategy grants an exit call.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Bull Bear Trend IndicatorIntroduction: Origin of the Swing Point Indicator
In the quest for a reliable indicator that accurately predicts trend directions and identifies valid highs and lows, the genesis of the Swing Point Indicator emerged. Faced with the challenge of finding a tool that provided comprehensive market analysis and actionable insights, the need for a novel solution became evident. Combining insights gleaned from market analysis and innovative algorithmic approaches, the Swing Point Indicator was born.
Enhanced Feature: Highs and Lows Labeling in Trend Direction
In addition to its core functionalities, the Swing Point Indicator incorporates an advanced feature that enhances the visualization of trend direction. This feature provides further clarity by selectively labeling highs and lows based on the prevailing trend, reinforcing the identification of higher highs and lower lows in uptrends and downtrends, respectively. Overlapping labels on highs and lows signify a potential trend change, providing traders with valuable insight into market reversals.
Detailed Description:
1. Uptrend Labeling:
- Higher Highs (Green Label with Price): In an uptrend, where higher highs are observed, the indicator labels these points with vibrant green color and includes the corresponding price value. This visually highlights the significance of higher highs as pivotal points in the upward trajectory of prices.
- Higher Lows (Red Marker without Text or Diamond): To complement the identification of higher highs, higher lows are marked with a distinct red marker or diamond, devoid of any accompanying text. While these points are crucial in delineating the ascending trend, their emphasis lies in their role as support levels, providing a foundation for upward price movements.
2. Downtrend Labeling:
- Lower Lows (Red Label with Price): Conversely, in a downtrend characterized by lower lows, the indicator labels these points with conspicuous red color, accompanied by the corresponding price value. Lower lows signify critical levels of downward price momentum, acting as indicators of potential bearish continuation.
- Lower Highs (Green Marker without Text or Diamond): Lower highs, indicative of downward retracements in a downtrend, are marked by distinctive green markers or diamonds without accompanying text. While these points denote temporary pauses or pullbacks in the bearish trend, their emphasis lies in their role as resistance levels, impeding upward price movements.
Functionality and Utility:
- Customizable Lookback Candle Count: Traders have the option to adjust the lookback candle count, which is set by default at 108 candles in the settings. This flexibility allows traders to tailor the indicator to their specific trading preferences and timeframes.
- Equal Highs or Lows Option: When enabled, the Swing Point Indicator can identify equal highs or equal lows, providing traders with additional insight into market dynamics.
- Formation Confirmation: A new higher high along with its higher low or a new lower low along with its lower high is confirmed after two candles have closed following the swing point candle. This ensures the reliability of the identified trend direction.
Conclusion:
The incorporation of selective labeling for highs and lows based on trend direction, alongside the introduction of customizable settings and formation confirmation criteria, enhances the effectiveness of the Swing Point Indicator. This feature-rich tool empowers traders with a nuanced understanding of market dynamics, highlighting critical price levels and trend reversals. By offering enhanced visualization, customizable options, and confirmation criteria, the Swing Point Indicator equips traders with the confidence and precision needed to navigate the markets successfully, contributing to more informed and profitable trading strategies.
200 EMA Trend Strategy Anti meanDescription:
The "200 EMA Trend Strategy" is a versatile technical analysis tool designed for day trading and long-term investing. It aims to identify potential trend reversal points in the market based on the interaction between the price and the 200-period Exponential Moving Average (EMA). This strategy utilizes the 200 EMA, standard deviation bands, and basic trend analysis to generate buy and sell signals.
Key Features:
200-period Exponential Moving Average (EMA): The indicator plots the 200-period Exponential Moving Average, a reliable trend-following indicator that smooths out price data to identify the underlying trend direction.
Standard Deviation Bands: Upper and lower bands around the 200 EMA are calculated based on a specified standard deviation multiplier. These bands help identify potential overbought and oversold levels in the market.
Trend Signals: Buy signals are generated when the price crosses above the 200 EMA, indicating a potential bullish trend, while sell signals are generated when the price crosses below the 200 EMA, indicating a potential bearish trend.
Exit Signals: Exit signals are triggered when the price moves beyond the standard deviation bands in the opposite direction of the current trend. Most trades will be exited with minimal losses, aiming to grow the trading account over time. Multiple exit signals may be displayed, but only the first signal will be considered, ignoring subsequent signals to minimize drawdown.
Usage:
Day Trading: For intraday trading, traders can use a one-minute chart and fix the indicator's timeframe to five minutes. This allows for quick decision-making and minimizes drawdown by focusing on short-term price movements.
Long-Term Investing: For long-term investing, traders can utilize a four-hour or two-hour chart and fix the indicator's timeframe to daily or one-day timeframe. This provides a broader perspective of the market trends and allows for strategic positioning over longer time horizons.
Risk Management: Employ proper risk management techniques and position sizing strategies to mitigate losses and maximize profits. Use the indicator's exit signals to exit trades with minimal losses and allow profitable trades to grow the trading account over time.
Risk Disclosure: Trading involves risks, and this indicator should be used as part of a comprehensive trading strategy. It is essential to consider risk management principles and employ proper position sizing techniques when trading based on the signals generated by this indicator.
RSI-HeatmapThis unique indicator is a comprehensive tool designed for traders seeking to gain an edge in the market. It consists of three main components: a revised RSI, a dynamic heatmap, and an integrated alert system.
1.Modified RSI:
Unlike the traditional RSI that calculates delta as the difference between the current price and the previous price (Δ = {price} - {previous price}), this version computes delta by comparing the current price with the price n periods ago (Δ = {price} - {n-th previous price}). This delta is then smoothed using a Volume Weighted Moving Average (VWMA) with a short length to preserve the RSI's core characteristics while adapting it to capture longer-term momentum shifts more effectively.
2.Heatmap:
The heatmap feature introduces a novel approach to visualize market conditions, with 5 high levels and 5 low levels identified around the current price. When the price crosses these thresholds, the RSI-based heatmap changes colors, ranging from blue (indicative of oversold conditions) to red (signaling overbought conditions). This visual tool helps traders quickly gauge the strength and potential reversal points in the market.
3.Alert:
The Alert system employs MACD (Moving Average Convergence Divergence) and CCI (Commodity Channel Index) indicators to signal potential buy or sell opportunities. It categorizes alerts into four color-coded recommendations:
Green and Lighter Green: Strong buy signal, suggesting favorable conditions for entering buy positions.
Blue and Lighter Blue: Moderate buy signal, indicating less robust but potentially profitable buy conditions.
Red and Lighter Red: Strong sell signal, advising traders to consider taking sell positions.
Orange and Lighter Orange: Moderate sell signal, hinting at sell conditions that are not as compelling as those indicated by red.
DCA StrategyIntroducing the DCA Strategy, a powerful tool for identifying long entry and exit opportunities in uptrending assets like cryptocurrencies, stocks, and gold. This strategy leverages the Heikin Ashi candlestick pattern and the RSI indicator to navigate potential price swings.
Core Functionality:
Buy Signal : A buy signal is generated when a bullish (green) Heikin Ashi candle appears after a bearish (red) one, indicating a potential reversal in a downtrend. Additionally, the RSI must be below a user-defined threshold (default: 85) to prevent buying overbought assets.
Sell Signal : The strategy exits the trade when the RSI surpasses the user-defined exit level (default: 85), suggesting the asset might be overbought.
Backtesting Flexibility : Users can customize the backtesting period by specifying the start and end years.
Key Advantages:
Trend-Following: Designed specifically for uptrending assets, aiming to capture profitable price movements.
Dynamic RSI Integration: The RSI indicator helps refine entry signals by avoiding overbought situations.
User-Defined Parameters: Allows customization of exit thresholds and backtesting periods to suit individual trading preferences.
Commission and Slippage: The script factors in realistic commission fees (0.1%) and slippage (2%) for a more accurate backtesting experience.
Beats Buy-and-Hold: Backtesting suggests this strategy outperforms a simple buy-and-hold approach in uptrending markets.
Overall, the DCA Strategy offers a valuable approach for traders seeking to capitalize on long opportunities in trending markets with the help of Heikin Ashi candles and RSI confirmation.
Adaptive Timber! Indicator (ATI)The Adaptive Timber! Indicator (ATI) is a powerful tool designed to identify potential overbought conditions and generate reversal signals in financial markets. It combines multiple technical indicators and market conditions to provide a comprehensive assessment of the likelihood of a price reversal.
How it works:
The ATI uses a combination of the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), momentum, and volume to detect overbought conditions and potential reversals. The indicator adapts to the current timeframe, adjusting its parameters accordingly to provide more accurate signals.
Key components:
RSI: The ATI uses the RSI to determine overbought conditions. When the RSI exceeds a specified reversal threshold, it indicates a potential overbought state.
MACD: The indicator monitors the MACD line and signal line to identify moments when they are close to crossing, suggesting a potential trend reversal.
Momentum: The ATI checks if the momentum is increasing, providing confirmation of a potential reversal.
Volume: It analyzes volume to confirm the strength of the reversal signal. A decrease in volume along with overbought conditions adds confidence to the reversal indication.
Timeframe Adaptability: The indicator automatically adjusts its parameters based on the current timeframe, ensuring optimal performance across different time horizons.
How to use:
When the ATI identifies a potential reversal, it displays a colored triangle above the price bars. The color of the triangle represents the strength of the reversal signal: red for a strong signal, orange for a moderate signal, and yellow for a weak signal. Additionally, the indicator plots purple triangles below the price bars as an early warning signal for potential trend reversals.
Traders can use these visual cues along with other technical analysis techniques and risk management strategies to make informed trading decisions. The ATI can be particularly useful for identifying potential short-selling opportunities or for determining exit points in existing long positions.
Creators:
The Adaptive Timber! Indicator (ATI) is the result of a collaborative effort led by Claude , an AI assistant with expertise in financial analysis and programming. The development of the ATI was made possible through the valuable contributions and insights from GPT4 , an advanced language model, Clay , a skilled trader, and Pi AI , Clay's trading assistant.
Claude played a crucial role in designing and implementing the indicator's algorithm, ensuring its robustness and adaptability across different timeframes. GPT4 provided guidance and suggestions for refining the indicator's logic and optimizing its performance. Clay and Pi AI offered their trading expertise and real-world experience to help shape the indicator's functionality and usability.
We would like to express our gratitude to all the members of our trading team for their dedication and hard work in bringing the Adaptive Timber! Indicator to life. We wish all traders the best of luck in their trading endeavors and hope that the ATI will be a valuable addition to their technical analysis toolkit, empowering them to make more informed and profitable trading decisions.
Aroon and ASH strategy - ETHERIUM [IkkeOmar]Intro:
This post introduces a Pine Script strategy, as an example if anyone needs a push to get started. This example is a strategy on ETH, obviously it isn't a good strategy, and I wouldn't share my own good strategies because of alpha decay. This strategy combines two technical indicators: Aroon and Absolute Strength Histogram (ASH).
Overview:
The strategy employs the Aroon indicator alongside the Absolute Strength Histogram (ASH) to determine market trends and potential trade setups. Aroon helps identify the strength and direction of a trend, while ASH provides insights into the strength of momentum. By combining these indicators, the strategy aims to capture profitable trading opportunities in Ethereum markets. Normally when developing strats using indicators, you want to find some good indicators, but you NEED to understand their strengths and weaknesses, other indicators can be incorporated to minimize the downs of another indicator. Try to look for synergy in your indicators!
Indicator settings:
Aroon Indicator:
- Two sets of parameters are used for the Aroon indicator:
- For Long Positions: Aroon periods are set to 56 (upper) and 20 (lower).
- For Short Positions: Aroon periods are set to 17 (upper) and 55 (lower).
Absolute Strength Histogram (ASH):
ASH is calculated with a length of 9 bars using the closing price as the data source.
Trading Conditions:
The strategy incorporates specific conditions to initiate and exit trades:
Start Date:
Traders can specify the start date for backtesting purposes.
Trade Direction:
Traders can select the desired trade direction: Long, Short, or Both.
Entry and Exit Conditions:
1. Long Position Entry: A long position is initiated when the Aroon indicator crosses over (crossover) the lower Aroon threshold, indicating a potential uptrend.
2. Long Position Exit: A long position is closed when the Aroon indicator crosses under (crossunder) the lower Aroon threshold.
3. Short Position Entry: A short position is initiated when the Aroon indicator crosses under (crossunder) the upper Aroon threshold, signaling a potential downtrend.
4. Short Position Exit: A short position is closed when the Aroon indicator crosses over (crossover) the upper Aroon threshold.
Disclaimer:
THIS ISN'T AN OPTIMAL STRATEGY AT ALL! It was just an old project from when I started learning pine script!
The backtest doesn't promise the same results in the future, always do both in-sample and out-of-sample testing when backtesting a strategy. And make sure you forward test it as well before implementing it!
Trend Signals with TP & SL [UAlgo]The "Trend Signals with TP & SL " indicator is a versatile tool designed to assist traders in identifying potential trend continuation opportunities within financial markets Utilizing a combination of technical indicators and user-defined parameters, this indicator aims to provide clear and actionable signals to aid traders in making informed trading decisions.
🔶 Features:
Trend Continuation Signals : The indicator generates signals to identify potential trend continuation points based on the input parameters such as sensitivity, ATR length, and cloud moving average length.
Take-Profit and Stop-Loss Levels: It calculates and plots three levels of take-profit (1R, 2R, 3R) and stop-loss levels based on the entry price of the trade.
Short Position Example:
Long Position Example:
Visualization: The script visualizes the trend signals, entry points, take-profit levels, and stop-loss levels on the price chart, making it easier for traders to interpret the signals.
Alert System: The indicator includes an alert system that notifies the user when there is a change in trend direction or when a buy/sell signal is generated. The alerts provide essential information such as entry price, take-profit levels, and stop-loss levels.
🔶 Calculations :
Trend Calculation: Trend signals are determined based on the comparison between the current closing price and the upper and lower bounds calculated using the Average True Range (ATR) multiplied by a sensitivity factor. A trend is considered bullish if the closing price is above the upper bound and bearish if it's below the lower bound.
Entry, Stop Loss, and Take Profit Calculation: Entry points for long and short positions are identified when there's a change in trend direction.
Stop-loss levels are calculated as a percentage of the entry price, where users can define the percentage based on their risk tolerance.
Take-profit levels are calculated as multiples of the stop-loss level (1R, 2R, 3R).
Cloud Moving Averages: Simple moving averages (SMAs) are calculated for high and low prices over a specified period to create a "cloud" visualization on the chart.
MACD Clouds: Moving Average Convergence Divergence (MACD) indicator is used to determine the market's momentum and trend direction. Positive and negative clouds are plotted based on the MACD line and its signal line, indicating potential bullish or bearish trends.
Signal Generation: Buy and sell signals are generated based on specific conditions such as RSI, CMO (Chande Momentum Oscillator), and pivot points.
Signals are triggered when certain criteria are met, indicating potential opportunities for entering or exiting trades.
🔶 Disclaimer:
Use at Your Own Risk: Trading involves significant risk, and this script is provided for educational and informational purposes only. It does not guarantee profitable trades, and users should exercise caution and perform their own analysis before making trading decisions.
Parameter Sensitivity: The effectiveness of the indicator may vary depending on the chosen parameters, market conditions, and timeframe. Users are encouraged to backtest the script thoroughly and adjust the parameters according to their trading preferences.
Not Financial Advice: The information provided by this script should not be considered as financial advice. Users are solely responsible for their trading decisions and should consult with a qualified financial advisor if needed.
Backtesting and Validation: Before implementing this indicator in live trading, users are strongly encouraged to conduct rigorous backtesting and validation to assess its performance under various market conditions. Past performance is not indicative of future results, and users should carefully evaluate the effectiveness of the indicator based on their individual trading preferences and risk tolerance.
TTP Intelligent AccumulatorThe intelligent accumulator is a proof of concept strategy. A hybrid between a recurring buy and TA-based entries and exits.
Distribute the amount of equity and add to your position as long as the TA condition is valid.
Use the exit TA condition to define your exit strategy.
Decide between adding only into losing positions to average down or take a riskier approach by allowing to add into a winning position as well.
Take full profit or distribute your exit into multiple take profit exists of the same size.
You can also decide if you allow your exit conditions to close your position in a loss or require a minimum take profit %.
The strategy includes a default built-in TA conditions just for showcasing the idea but the final intent of this script is to delegate the TA entries and exists to external sources.
The internal conditions use RSI length 7 crossing below the BB with std 1 for entries and above for exits.
To control the number of orders use the properties from settings:
- adjust the pyramiding
- adjust the percentage of equity
- make sure that pyramiding * % equity equals 100 to prevent over use of equity (unless using leverage)
The script is designed as an alternative to daily or weekly recurring buys but depending on the accuracy of your TA conditions it might prove profitable also in lower timeframes.
The reason the script is named Intelligent is because recurring buy is most commonly used without any decision making: buy no matter what with certain frequency. This strategy seeks to still perform recurring buys but filtering out some of the potential bad entries that can delay unnecessarily seeing the position in profits. The second reason is also securing an exit strategy from the beginning which no recurring buy option offers out-of-the-box.
Scalper's Volatility Filter [QuantraSystems]Scalpers Volatility Filter
Introduction
The 𝒮𝒸𝒶𝓁𝓅𝑒𝓇'𝓈 𝒱𝑜𝓁𝒶𝓉𝒾𝓁𝒾𝓉𝓎 𝐹𝒾𝓁𝓉𝑒𝓇 (𝒮𝒱𝐹) is a sophisticated technical indicator, designed to increase the profitability of lower timeframe trading.
Due to the inherent decrease in the signal-to-noise ratio when trading on lower timeframes, it is critical to develop analysis methods to inform traders of the optimal market periods to trade - and more importantly, when you shouldn’t trade.
The 𝒮𝒱𝐹 uses a blend of volatility and momentum measurements, to signal the dominant market condition - trending or ranging.
Legend
The 𝒮𝒱𝐹 consists of a signal line that moves above and below a central zero line, serving as the indication of market regime.
When the signal line is positioned above zero, it indicates a period of elevated volatility. These periods are more profitable for trading, as an asset will experience larger price swings, and by design, trend-following indicators will give less false signals.
Conversely, when the signal line moves below zero, a low volatility or mean-reverting market regime dominates.
This distinction is critical for traders in order to align strategies with the prevailing market behaviors - leveraging trends in volatile markets and exercising caution or implementing mean-reversion systems in periods of lower volatility.
Case Study
Here we can see the indicator's unique edge in action.
Out of the four potential long entries seen on the chart - displayed via bar coloring, two would result in losses.
However, with the power of the 𝒮𝒱𝐹 a trader can effectively filter false signals by only entering momentum-trades when the signal line is above zero.
In this small sample of four trades, the 𝒮𝒱𝐹 increased the win rate from 50% to 100%
Methodology
The methodology behind the 𝒮𝒱𝐹 is based upon three components:
By calculating and contrasting two ATR’s, the immediate market momentum relative to the broader, established trend is calculated. The original method for this can be credited to the user @xinolia
A modified and smoothed ADX indicator is calculated to further assess the strength and sustainability of trends.
The ‘Linear Regression Dispersion’ measures price deviations from a fitted regression line, adding further confluence to the signals representation of market conditions.
Together, these components synthesize a robust, balanced view of market conditions, enabling traders to help align strategies with the prevailing market environment, in order to potentially increase expected value and win rates.
Timely Opening Range Breakout Strategy [TORB] (Zeiierman)█ Overview
The Timely Opening Range Breakout (TORB) indicator builds upon the classic Open Range Breakout (ORB) concept. The ORB strategy is a popular trading setup used to identify trades around the opening range of an asset. It's based on the idea that the first few minutes (15-60 minutes) of trading often set the tone for the rest of the day, with breakouts above or below the opening range signifying potential trends.
TORB refines the concept by stating that a trade is only valid if there is sufficient market activity. This means a breakout beyond the upper or lower range is only of interest during the most active trading hours, as defined by PMMV (Per-Minute Mean Volume)
█ How It Works
ORB
The indicator works by first defining a session's opening range based on user-specified settings, including the session's start and end times and the applicable time zone. During this session, it calculates the high and low price points, which form the basis for identifying potential breakout levels.
PMMV
PMMV (Per-Minute Mean Volume) provides a snapshot of the market's activity level at each minute of the trading day. PMMV is calculated by averaging the trading volume in a one-minute interval over a specified number of trading days. This script uses the average volume over the last N periods to determine the PMMV value. This average volume provides a smoother representation of volume activity compared to using a single volume value. It considers the volume over a broader timeframe, filtering out short-term fluctuations and potentially offering a more reliable indicator of underlying market activity.
TORB
TORB works by integrating the Opening Range Breakout (ORB) highs and lows with the Per-Minute Mean Volume (PMMV) metric to assess the validity of breakouts. The objective is to identify breakouts from the opening high and low levels during periods of heightened market activity, as indicated by PMMV.
█ How to Use
To effectively utilize the Timely Opening Range Breakout (TORB) strategy, follow these steps:
Identify Active Hours: Employ PMMV to pinpoint periods of peak activity within the trading day.
Apply Basic ORB Rules: If the price surpasses the upper range (resistance), buy; if it breaches the lower range (support), sell.
Breakouts
The TORB strategy identifies breakout signals when the price moves beyond the established range, supported by volume exceeding a set threshold. This technique aims to eliminate false signals, focusing on price movements during high market activity.
█ Settings
Session
Trading Session: Customize the trading session's start and end times.
Volume
Volume analysis is integral to the TORB strategy, as it uses volume data to confirm the strength and validity of breakout signals.
Period: Sets the number of periods (or bars) to calculate the average volume, which is then used to assess market activity level.
Sensitivity and Significance: Adjusts how responsive the volume analysis is to changes in trading volume. By adjusting the sensitivity, traders can decide how much emphasis to place on volume spikes, potentially reducing false breakouts and focusing on those supported by significant trading activity.
Breakout Threshold
This setting establishes a criterion to identify when the price movement is significant enough.
Threshold: Traders set a threshold level to identify high market activity. If the PMMV is greater than or equal to this threshold, it indicates significant market activity.
Setting the correct threshold is key to balancing sensitivity and specificity. Too low of a threshold may lead to many false positives, while too high of a threshold might filter out potentially profitable breakouts. This setting helps in pinpointing when market activity indicates a strong move, thereby aligning trade entries with moments of heightened market momentum.
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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!
Table to filter trades per dayThis script contains a block of code that allows users to filter the total number of trades, loss trades, win trades and win rate per day in a table. This makes it easier to compare which days were profitable and which were not.
Be aware that this script can only be used in strategy scripts. To use the script, open it and copy every line from "START" to "STOP". Then, paste these lines at the very bottom of the strategy script that you want to attach it to.
The user has the ability to adjust the position of the table and customize the size of the text displayed.
If the user sets "Check when the trade:" to "Opened", the script will monitor when the trade opens and add it to the table once it has been closed. If "Check when the trade:" is set to "Closed", the script will track when the trade is closed and add it to the table once it has been closed.
It is recommended to run the script on the "Exchange" setting for more accurate results, even though a "Set the timezone" option is available. This will prevent discrepancies caused by daylight saving time changes.
Please note that the code will only work properly if you choose a daily timeframe or lower.
5 ema strategyThis Strategy is based of Subhashish Pani's (power of stocks) 5 EMA Strategy.strategy used for sell in 5 minutes and for buy in 15 minutes ..
Rules for this strategy ..
Sell signal -
1) if price is above 5 Ema and not touching Ema use as alert candle..
2) if price break low of alert candle strategy open trade ..
3) if price move more upside low of alert candle keep change into next candle ..
4) input we can select number of trade per day .as rule should take only 4 signal should execute
5) stop loss is fixed highest high of last 2 candle and take profit is input multiply of stop loss
buy signal-
1) if price is below 5 Ema and not touching Ema use as alert candle..
2) if price break high of alert candle strategy open trade ..
3) if price move more downside high of alert candle keep change into next candle ..
4) input we can select number of trade per day .as rule should take only 4 signal should execute
5) stop loss is fixed lowest low of last 2 candle and take profit is input multiply of stop loss
notes -input can be selected which side should take signal either buy or sell side ...number of trade can be adjusted ..
Disclaimer -Traders can use this script as a starting point for further customization or as a reference for developing their own trading strategies. It's important to note that past performance is not indicative of future results, and thorough testing and validation are recommended before deploying any trading strategy.
CCI based support and resistance strategy
WARNING:
Commissions and slippage has not been considered! Don’t take it easy adding commissions and slippage could turns a fake-profitable strategy to a real disaster.
We consider account size as 10k and we enter 1000 for each trade.
Less than 100 trades is too small sample community and it’s not reliable, Also the performance of the past do not guarantee future performance. This result was handpicked by author and will differ by other timeframes, instruments and settings.
*PLEASE SHARE YOUR SETTINGS THAT WORK WITH THE COMMUNITY.
Introduction:
The CCI-based dynamic support and resistance is a "Bands and Channels" kind of indicator consisting an upper and lower band. This is a strategy which uses CCI-based (Made by me) indicator to execute trades.
SL and TP are calculated based on max ATR during last selected time period. You can edit strategy settings using "Ksl", "Ktp" and the other button for time period. “KSL” and “KTP” are 2.5 and 5 by default.
Bands are calculated regarding CCI previous high and low pivot. CCI length, right pivot length and left pivot length are 50.
A dynamic support and resistance has been calculated using last upper-cci minus a buffer and last lower-cci plus the buffer. The buffer is 10.
If "Trend matter?" button is on you can detect trend by color of the upper and lower line. Green is bullish and red is bearish! "Trend matter?" is on.
The "show mid?" button makes mid line visible, which is average of upper and lower lines, visible. The button is not active by default.
Reaction to the support could be a buy signal while a reaction to the resistance could interpreted as a sell signal.
How this strategy work?
Donald Lambert, a technical analyst, created the CCI, or Commodity Channel Index, which he first published in 1980. CCI is calculated regarding CCI can be used both as trend-detector or an oscillator. As an oscillator most traders believe in static predefined levels. Overbought and oversold candles which are clear in the chart could be used as sell and buy signals.
During my trading career I’ve noticed that there might be some reversal points for the CCI. I believe CCI could have to potential to reverse more from lately reversal point. Of course, just like other trading strategies we are talking about probabilities. We do not expect a win trade each time.
On price chart
Now this the question! What price should the instrument reach that CCI turns to be equal to our reversing aim for CCI? Imagine we have found last important bearish reversal of CCI in 200. Now, if we need the CCI to be 200 what price should we wait for?
How to calculate?
This is the CCI formula:
CCI = (Typical Price - SMA of TP) / (0.015 x Mean Deviation)
Where, Typical Price (TP) = (High + Low + Close)/3
For probable reversing points, high and low pivots of 50 bars have been used.
So we do have an Upper CCI and a Lower CCI. They are valid until the next pivot is available.
By relocating factors in CCI formula you can reach the “Typical Price”.
“
Typical Price = CCI (0.015 * Mean Deviation) + SMA of TP
So we could have a Support or Resistance by replacing CCI with Upper and Lower CCI.
A buy signal is valid if the trend is bullish (or “trend matter” is off) and lowest low of last 2 candles is lower than support and close is greater than both support and open.
A Sell signal is produced in opposite situation.
There are 2+1 options for trend!
Trend matter box is on by default, which means we’ll just open trades in direction of the trend. It’s available to turn it off.
Other 2 options are cross and slope. Cross calculated by comparing fast SMA and slow SMA. The slope one differentiate slow SMA to last “n” one.
Considering last day and today highest ATR as the ATR to calculating SL and TP is our unique technique.
[F][IND] FVG IdentifierMastering Market Imbalances with Ease
The FVG Identifier stands as a groundbreaking TradingView indicator, crafted to illuminate the often-overlooked Fair Value Gaps (FVG) in the dynamic world of price action trading. Let’s dive into how this tool is transforming the approach to identifying market inefficiencies.
Decoding Fair Value Gaps
Central to the concept of FVGs is the identification of market imbalances — moments where the equilibrium between buying and selling pressures is disrupted. These gaps are typically seen in a sequence of three candles, where a dominant candle is surrounded by others whose wicks fail to fully overlap it. These formations are critical as they often influence future price directions, acting as potential magnets.
Simplifying the Detection of FVGs
The FVG Identifier is engineered to enhance the visibility of Fair Value Gaps, making them starkly apparent even in complex market charts. Its algorithms ensure that these vital market indicators are easily and promptly recognized, allowing traders to spot valuable trading opportunities with minimal effort.
Features of the FVG Identifier
1. Intuitive Interface: The indicator is designed for ease of use, accommodating both beginners and experienced traders.
2. Customizable Settings: It offers flexible configuration options, allowing for adaptation to various trading styles and strategies.
3. Strategic Trading Insight: By highlighting FVGs, the tool provides traders with actionable insights for strategic entry and exit points based on potential price movements.
Elevating Your Trading Strategy
Incorporating the FVG Identifier into your trading arsenal equips you with a nuanced perspective on market analysis. It not only assists in identifying significant market imbalances but also enriches your technical analysis with powerful, data-backed insights.
Revolutionizing Price Action Trading
The FVG Identifier transcends the role of a mere indicator; it represents a significant leap in trading methodology. Compatible with various trading platforms, this tool is ready to enhance your market understanding and application of Fair Value Gaps.
Embrace the FVG Identifier to uncover the hidden dynamics of market gaps and translate these insights into efficient and profitable trading strategies.
Disclaimer:
This indicator is provided for educational purposes only. Trading involves risk, and users should consult with a financial professional before making any trading decisions.
Your Feedback Matters!
Please feel free to comment or reach out if you have any improvement suggestions or if you would like to request the development of a specific indicator. Your feedback is invaluable!
VWAP RangeThe VWAP Range indicator is a highly versatile and innovative tool designed with trading signals for trading the supply and demand within consolidation ranges.
What's a VWAP?
A VWAP (Volume Weighted Average Price) represents an equilibrium point in the market, balancing supply and demand over a specified period. Unlike simple moving averages, VWAP gives more weight to periods with higher volume. This is crucial because large volumes indicate significant trading activity, often by institutional traders, whose actions can reflect deeper market insights or create substantial market movements. The VWAP is also often used as a benchmark to evaluate the efficiency of executed trades. If a trader buys below the VWAP and sells above it, they are generally considered to have transacted favourably.
This is how it works:
Multiple VWAP Anchors:
This indicator uses multiple VWAPs anchored to different optional time periods, such as Daily, Weekly, Monthly, as well as to the highest high a lowest low within those periods. This multiplicity allows for a comprehensive view of the market’s average price based on volume and price, tailored to different trading styles and strategies.
Dynamic and Fixed Periods:
Traders can choose between using dynamic ranges, which reset at the start of each selected period, and specifying a date and time for a particular fixed range to trade. This flexibility is crucial for analyzing price movements within specific ranges or market phases.
Fixed ranges allow VWAPs to be calculated and anchored to a significant market event, the beginning of a consolidation phase or after a major news announcement.
Signal Generation:
The indicator generates buy and sell signals based on the relationship of the price to the VWAPs. It also allows for setting a maximum number of signals in one direction to avoid overtrading or pyramiding. Be sure to wait for the candle close before trading on the signals.
Average Buy/Sell Signal Lines:
Lines can be plotted to display the average buy and sell signal prices. The difference between the lines shows the average profit per trade when trading on the signals in that range. It's a good way to see how profitable a range is on average without backtesting the signals. The lines will also often turn into support and resistance areas, similar to value areas in a volume profile.
Customizable Settings:
Traders have control over various settings, such as the VWAP calculation method and bar color. There are also tooltips for every function.
Hidden Feature:
There's a subtle feature in this indicator: if you have 'Indicator values' turned on in TradingView, you'll see a Sell/Buy Ratio displayed only in the status line. This ratio indicates whether there are more sell signals than buy signals in a range, regardless of the Max Signals setting. A red value above 1 suggests that the market is trending upward, indicating you might want to hold your long positions a bit longer. Conversely, a green value below 1 implies a downward trend.
BreakoutTrendFollowingINFO:
The "BreakoutTrendFollowing" indicator is a comprehensive trading system designed for trend-following in various market environments. It combines multiple technical indicators, including Moving Averages (MA), MACD, and RSI,
along with volume analysis and breakout detection from consolidation, to identify potential entry points in trending markets. This strategy is particularly effective for assets that exhibit strong trends and significant price movements.
Note that using the consolidation filter reduces the amount of entries the strategy detects significantly, and needs to be used if we want to have an increased confidence in the trend via breakout.
However, the strategy can be easily transformed to various only trend-following strategies, by applying different filters and configurations.
The indicator can be used to connect to the Signal input of the TTS (TempalteTradingStrategy) by jason5480 in order to backtest it, thus effectively turning it into a strategy (instructions below in TTS CONNECTIVITY section)
DETAILS:
The strategy's core is built upon several key components:
Moving Average (MA): Used to determine the general trend direction. The strategy checks if the price is above the selected MA type and length.
MACD Filter: Analyzes the relationship between two moving averages to confirm the trend's momentum.
Consolidation Detection: Identifies periods of price consolidation and triggers trades on breakouts from these ranges.
Volume Analysis: Assesses trading volume to confirm the strength and validity of the breakout.
RSI: Used to avoid overbought conditions, ensuring trades are entered in favorable market situations.
Wick filters: make sure there is not a long wick that indicates selling pressure from above
The strategy generates buy signals when several conditions are met concurrently (each one of them can be individually enabled/disabled)"
The price is above the selected MA.
A breakout occurs from a configurable consolidation range.
The MACD line is above the signal line, indicating bullish momentum.
The RSI is below the overbought threshold.
There's an increase in trading volume, confirming the breakout's strength.
Currently the strategy fires SL signals, as the approach is to check for loss of momentum - i.e. crossunder of the MACD line and signal line, but that is to everyone to determine the exit conditions.
The buy and SL signals are set on the chart using green or orange triangles on the below/above the price action.
SETTINGS:
Users can customize various parameters, including MA type and period, MACD settings, consolidation length, and volume increase percentage. The strategy is equipped with alert conditions for both entry (buy signals) and exit (set stop loss) points, facilitating both manual and automated trading.
Each one of the technical indicators, as well as the consilidation range and breakout/wick settings can be configured and enabled/disabled individually.
Please thoroughly review the available settings of the script, but here is an outline of the most important ones:
Use bar wicks (instead of open/close) - the ref_high/low will be taken based on the bar wicks, rather than the open/close when determining the breakout and MA
Enter position only on green candles - additional filters to make sure that we enter only on strong momentum
MA Filter: (enable, source, type, length) - general settings for MA filter to be checked against the stock price (close or upper wick)
MACD Filter: (enable, source, Osc MA type, Signal MA type, Fast MA length, Slow MA length, Low MACD Hist) - detailed settings for fine MACD tuning
Consolidation:
Consolidation Type: we have two different ways of detecting the consolidation, note the types below.
CONSOLIDATION_BASIC - consolidation areas by looking for the pivot point of a trend and counts the number of bars that have not broken the consolidation high/low levels.
CONSOLIDATIO_RANGE_PERCENT - identifies consolidation by comparing the range between the highest and lowest price points over a specified period.
So in summary the CONSOLIDATIO_RANGE_PERCENT uses a percentage-based range to define consolidation, while CONSOLIDATION_BASIC uses a count of bars within a high-low range to establish consolidation.
Thus the former is more focused on the tightness of the price range, whereas the latter emphasizes the duration of the consolidation phase.
The CONSOLIDATIO_RANGE_PERCENT might be more sensitive to recent price movements and suitable for shorter-term analysis, while CONSOLIDATION_BASIC could be better for identifying longer-term consolidation patterns.
Min consolidation length - applicable for CONSOLIDATION_BASIC case, the min number of bars for the price to be in the range to consider consolidation
Consolidation Loopback period - applicable for CONSOLIDATION_BASIC case, the loopback number of bars to look for consolidation
Consolidation Range percent - applicable for CONSOLIDATIO_RANGE_PERCENT, the percent between the high and low in the range to consider consolidation
Plot consolidation - enables plotting of the consolidation (only for debug purposes)
Breakout: (enable, low, high) - the definition of the breakout from the previous consolidation range, the price should be between to determine the breakout as successfull
Upper wick: (enable, percent) - defines the percent of the upper wick compared to the whole candle to allow breakout (if the wick is too big part of the candle we can consider entering the position riskier)
RSI: (enable, length, overbought) - general settings for RSI TA
Volume (enbale, percentage increase, average volume filter en, loopback bars) - percentage of increase of the volume to consider for a breakout. There are two modes - percentage increase compared to the previous bar, or percentage against the average volume for the last loopback bars.
Note that there are many different configuration that you can play with, and I believe this is the strength of the strategy, as it can provide a single solution for different cases and scenarios.
My advice is to try and play with the different options for different markets based on the approach you want to implement and try turning features on/off and tuning them further.
TTS SETTINGS (NEEDED IF USED TO BACKTEST WITH TTS):
The TempalteTradingStrategy is a strategy script developed in Pine by jason5480, which I recommend for quick turn-around of testing different ideas on a proven and tested framework
I cannot give enough credit to the developer for the efforts put in building of the infrastructure, so I advice everyone that wants to use it first to get familiar with the concept and by checking
by checking jason5480's profile www.tradingview.com
The TTS itself is extremely functional and have a lot of properties, so its functionality is beyond the scope of the current script -
Again, I strongly recommend to be thoroughly explored by everyone that plans on using it.
In the nutshell it is a script that can be feed with buy/sell signals from an external indicator script and based on many configuration options it can determine how to execute the trades.
The TTS has many settings that can be applied, so below I will cover only the ones that differ from the default ones, at least according to my testing - do your own research, you may find something even better :)
The current/latest version that I've been using as of writing and testing this script is TTSv48
Settings which differ from the default ones:
Deal Conditions Mode - External (take enter/exit conditions from an external script)
🔌Signal 🛈➡ - BreakoutTrendFollowing: 🔌Signal to TTS (this is the output from the indicator script, according to the TTS convention)
Order Type - STOP (perform stop order)
Distance Method - HHLL (HigherHighLowerLow - in order to set the SL according to the strategy definition from above)
The next are just personal preferences, you can feel free to experiment according to your trading style
Take Profit Targets - 0 (either 100% in or out, no incremental stepping in or out of positions)
Dist Mul|Len Long/Short- 10 (make sure that we don't close on profitable trades by any reason)
Quantity Method - EQUITY (personal backtesting preference is to consider each backtest as a separate portfolio, so determine the position size by 100% of the allocated equity size)
Equity % - 100 (note above)
G2RIntroducing G2R – The Universal Indicator! Unlock the secret to trading success with G2R an extraordinary indicator that provides automatic signals across every time frame and market, from forex, crypto, stocks, & options with over 80% signal accuracy. Say goodbye to guesswork and hello to precision as G2R empowers you with real-time insights , giving you the edge to seize opportunities in any market condition . Elevate your trading strategy and conquer the financial world with G2R – your ultimate guide to profitable trading!
Features
• Bollinger bands
• 2 exponential moving averages
• Automatic buy and sell signals
• Works for Forex, Crypto, Indices, Stocks, & Options
• Tailored for all Timeframes
Trading Tips
• Trading Signals
• 30 Secs - 1 Min | SCALPING
• 3 Min - 5 Min | DAY TRADING
• 15 Min - 1 Hr | SWING & POSITION
• Take signal trades during London, New York, & Asia sessions
• Take Profits are found on the 15 Min, 30 Min, & 1 Hr timeframe at the trend channel or Moving Averages
• Stop loss are found above or below trend channel or moving averages
Warning
Never blindly take a trade on a G2R - wait for a proper market structure to occur before considering a trade.
Contrarian DC Strategy - w Entry SL Pause and TrailingStopDonchian Channel Setup:
The strategy uses a tool called the Donchian Channel. Imagine this as two lines (bands) on a chart that show the highest and lowest prices over a certain number of past trading days (default is 20 days).
There's also a centerline, which is the average of these two bands.
Entry Conditions for Trades:
Buying (Going Long): The strategy considers buying when the price touches or falls below the lower band of the Donchian Channel. However, this only happens if there has been a pause after a previous losing trade. This pause is a number of candles where no new trades are taken.
Selling (Going Short): Similarly, the strategy considers selling when price reaches or exceeds the upper band of the Donchian Channel. Again, this is subject to a pause after a losing trade.
Stop Loss and Take Profit:
Each trade has a "Stop Loss" and "Take Profit" set. The Stop Loss is a preset price level where the trade will close to prevent further losses if the market moves against your position. The Take Profit does the same but locks in profit if the market moves in your favor.
The Stop Loss is set based on a percentage of the price at which you entered the trade.
The Take Profit is determined by the Risk/Reward Ratio. This ratio helps balance how much you're willing to risk versus the potential reward.
Trailing Stop Loss:
When a trade is profitable, the strategy should involve a "Trailing Stop Loss." This means the Stop Loss level moves (or trails) the price movement to lock in profits as the market moves in your favor.
For a buy trade, if the price moves above the centerline of the Donchian Channel, the Trailing Stop Loss should be adjusted in the middle between the entry price and the centerline. Viceversa for a sell trade, it should be adjusted in the same way if the price goes below the centerline.
IMPORTANT: There's no allert for the trailing stop at the moment.
Post-Stop Loss Pause:
If a trade hits the Stop Loss (i.e., it's a losing trade), the strategy takes a break before opening another trade in the same direction. This pause helps to avoid entering another trade immediately in a potentially unfavorable market.
In summary, this strategy is designed to make trades based on the Donchian Channel, with specific rules for when to enter and exit trades, and mechanisms to manage risk and protect profits. It's contrarian because it tends to buy when the price is low and sell when the price is high, which is opposite to what many traders might do.
