Fair Value Gap (FVG) Oscillator [UAlgo]The "Fair Value Gap (FVG) Oscillator " is designed to identify and visualize Fair Value Gaps (FVG) within a given lookback period on a trading chart. This indicator helps traders by highlighting areas where price gaps may signify potential trading opportunities, specifically bullish and bearish patterns. By leveraging volume and Average True Range (ATR) data, the FVG Oscillator aims to enhance the accuracy of pattern recognition and provide more reliable signals for trading decisions.
🔶 Identification of Fair Value Gap (FVG)
Fair Value Gaps (FVG) are specific price areas where gaps occur, and they are often considered significant in technical analysis. These gaps can indicate potential future price movements as the market may return to fill these gaps. This indicator identifies two types of FVGs:
Bullish FVG: Occurs when the current low price is higher than the high price two periods ago. This condition suggests a potential upward price movement.
Obtains with:
low > high
Bearish FVG: Occurs when the current high price is lower than the low price two periods ago. This condition suggests a potential downward price movement.
Obtains with:
high < low
The FVG Oscillator not only identifies these gaps but also verifies them using volume and ATR conditions to ensure more reliable trading signals.
🔶 Key Features
Lookback Period: Users can set the lookback period to determine how far back the indicator should search for FVG patterns.
ATR Multiplier: The ATR Multiplier is used to adjust the sensitivity of the ATR-based conditions for verifying FVG patterns.
Volume SMA Period: This setting determines the period for the Simple Moving Average (SMA) of the volume, which helps in identifying high volume conditions.
Why ATR and Volume are Used?
ATR (Average True Range) and volume are integrated into the Fair Value Gap (FVG) Oscillator to enhance the accuracy and reliability of the identified patterns. ATR measures market volatility, helping to filter out insignificant price gaps and focus on impactful ones, ensuring that the signals are relevant and strong. Volume, on the other hand, confirms the strength of price movements. High volume often indicates the sustainability of these movements, reducing the likelihood of false signals. Together, ATR and volume ensure that the detected FVGs are both significant and supported by market activity, providing more trustworthy trading signals.
Normalized Values: The FVG counts are normalized to enhance the visual representation and interpretation of the patterns on the chart.
Visual Customization and Plotting: Users can customize the colors for positive (bullish) and negative (bearish) areas, and choose whether to display these areas on the chart, also plots the bullish and bearish FVG counts, a zero line, and the net value of FVG counts. Additionally, it uses histograms to display the width of verified bullish and bearish patterns.
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Search in scripts for "stop loss"
BCA Candlestick Pattern Condition BuilderThe "Candlestick Pattern Condition Builder" is an indicator developed for traders who want to create and customize their own trading strategies based on candlestick patterns. It allows users to set specific conditions for entering and exiting trades, both long and short. By enabling traders to define up to five conditions based on various price points (Open, High, Low and Close) and logical operators, it provides a flexible framework for building complex trading strategies tailored to individual preferences and market behavior.
Now traders can easily configure their favorite candlestick patterns like Doji, three white soldiers, three black crows or any other pattern using this indicator.
Here are the settings to customize the indicator:
Intraday Setting:
The indicator supports time-based trading by allowing users to define specific intraday sessions. Traders can set the start and end times for trading activities, ensuring that the strategy only executes trades within the defined market hours. This feature is particularly useful for intraday traders who want to avoid overnight positions and focus on capturing intraday price movements. Users can toggle the time-based entry and exit settings on or off, providing additional flexibility in managing their trading sessions.
Long and Short Candle Configuration:
"Condition Builder" enables users to configure conditions for both long and short trades using historical candle data. Traders can select different price points (open, high, low, close) from the past five bars to create their conditions. Each condition can be set with logical operators such as greater than, less than, greater than or equal to, less than or equal to, and equal to. This allows for detailed and precise condition-building, enabling traders to tailor their strategies to specific market patterns and behaviors. Note that between any two candlestick conditions "AND" operator is used.
Candle number representation as follows:
0 - N candle (current candle)
1 - N-1 candle (previous candle)
2 - N-2 candle
3 - N-3 candle
4 - N-4 candle
Stoploss and Target Options:
The indicator allows users to set stop-loss and target levels based on various criteria. Traders can choose to set these levels as a percentage, a fixed number of points, or based on the highest or lowest prices of selected candles. Additionally, the indicator supports risk
targets, providing a method to calculate targets in relation to the stop-loss distance. These features help traders manage their risk effectively and ensure that their strategies have well-defined exit points.
Stoploss Options:
1. Percentage Stoploss:
This option allows traders to set a stop-loss level as a percentage of the entry price. For example, if the stop-loss is set at 2%, the trade will close if the price moves 2% against the entry price. This dynamic approach adjusts the stop-loss level based on the trade's entry price, providing flexibility and proportional risk management.
2. Points Stoploss:
With this option, traders specify a fixed number of points for the stop-loss. For instance, if the stop-loss is set to 50 points, the trade will close if the price moves 50 points against the entry price. This fixed approach is straightforward and easy to implement, offering a clear and consistent risk threshold.
3. Highest/Lowest of Selected Candles:
This stop-loss method uses the highest or lowest prices of selected historical candles to determine the stop-loss level. Traders can select specific past bars, and the stop-loss will be set at the highest high (for short trades) or the lowest low (for long trades) of those bars. This method is useful for incorporating recent price action into risk management.
Target Options:
1. Percentage Target:
Similar to the percentage stop-loss, this option sets the target level as a percentage of the entry price. If the target is set at 5%, the trade will aim to close when the price moves 5% in favor of the entry price. This approach ensures that the target is proportionally related to the entry price, aligning with the trader’s desired profit margin.
2. Points Target :
This target option allows traders to set a specific number of points as the target. For example, if the target is set to 100 points, the trade will aim to close when the price moves 100 points in favor of the entry price. This method provides a clear and fixed profit goal, making it easy to implement and understand.
3. Risk:Reward :
The Risk:Reward sets the target level based on a multiple of the stop-loss distance. For example, with a risk ratio of 1:2 and a stop-loss distance of 50 points, the target will be set at 100 points (2 times the stop-loss distance). This approach helps traders maintain a consistent risk profile, aiming for higher profits relative to the risk taken on each trade.
Best practice: Use it with other price action concepts or indicators to make it effective.
Multi Timeframe Moving Average Convergence Divergence {DCAquant}Overview
The MTF MACD indicator provides a unique view of MACD (Moving Average Convergence Divergence) and Signal Line dynamics across various timeframes. It calculates the MACD and Signal Line for each selected timeframe and aggregates them for analysis.
Key Features
MACD Calculation
Utilizes standard MACD calculations based on user-defined parameters like fast length, slow length, and signal smoothing.
Determines the difference between the MACD and Signal Line to identify convergence or divergence.
Multiple Timeframe Analysis
Allows users to select up to six different timeframes for analysis, ranging from minutes to days, providing a holistic view of market trends.
Calculates MACD and Signal Line for each timeframe independently.
Aggregated Analysis
Combines MACD and Signal Line values from multiple timeframes to derive a consolidated view.
Optionally applies moving average smoothing to aggregated MACD and Signal Line values for better clarity.
Position Identification
Determines the trading position (Long, Short, or Neutral) based on the relationship between MACD and Signal Line.
Considers the proximity of MACD and Signal Line to identify potential trading opportunities.
Visual Representation
Plots MACD and Signal Line on the price chart for visual analysis.
Utilizes color-coded backgrounds to indicate trading conditions (Long, Short, or Neutral) for quick interpretation.
Dynamic Table Display
Displays trading position alongside graphical indicators (rocket for Long, snowflake for Short, and star for Neutral) in a customizable table.
Offers flexibility in table placement and size for user preference.
How to Use
Parameter Configuration
Adjust parameters like fast length, slow length, and signal smoothing to fine-tune MACD calculations.
Select desired timeframes for analysis based on trading preferences and market conditions.
Interpretation
Monitor the relationship between MACD and Signal Line on the price chart.
Pay attention to color-coded backgrounds and graphical indicators in the table for actionable insights.
Decision Making
Consider entering Long positions when MACD is above the Signal Line and vice versa for Short positions.
Exercise caution during Neutral conditions, as there may be uncertainty in market direction.
Risk Management
Combine MTF MACD analysis with risk management strategies to optimize trade entries and exits.
Set stop-loss and take-profit levels based on individual risk tolerance and market conditions.
Conclusion
The Multi Timeframe Moving Average Convergence Divergence (MTF MACD) indicator offers a robust framework for traders to analyze market trends across multiple timeframes efficiently. By combining MACD insights from various time horizons and presenting them in a clear and actionable format, it empowers traders to make informed decisions and enhance their trading strategies.
Disclaimer
The Multi Timeframe Moving Average Convergence Divergence (MTF MACD) indicator provided here is intended for educational and informational purposes only. Trading in financial markets involves risk, and past performance is not indicative of future results. The use of this indicator does not guarantee profits or prevent losses.
Please be aware that trading decisions should be made based on your own analysis, risk tolerance, and financial situation. It is essential to conduct thorough research and seek advice from qualified financial professionals before engaging in any trading activity.
The MTF MACD indicator is a tool designed to assist traders in analyzing market trends and identifying potential trading opportunities. However, it is not a substitute for sound judgment and prudent risk management.
By using this indicator, you acknowledge that you are solely responsible for your trading decisions, and you agree to indemnify and hold harmless the developer and distributor of this indicator from any losses, damages, or liabilities arising from its use.
Trading in financial markets carries inherent risks, and you should only trade with capital that you can afford to lose. Exercise caution and discretion when implementing trading strategies, and consider seeking independent financial advice if necessary.
RSI Multi Strategies With Overlay SignalsHello everyone,
In this indicator, you will find 6 different entry and exit signals based on the RSI :
Entry into overbought and oversold zones
Exit from overbought and oversold zones
Crossing the 50 level
RSI cross RSI MA below or above the 50 level
RSI cross RSI MA in the overbought or oversold zones
RSI Divergence
With the signals identified, you can create your own strategy . (If you have any suggestions, please mention them in the comments).
Beyond these signals, you can set SL (Stop Loss) and TP (Take Profit) levels to better manage your positions.
SL Methods:
Percentage: The stop loss is determined by the percentage you specify.
ATR : The stop level is determined based on the Average True Range (ATR).
TP Methods:
Percentage: The take profit is determined by the percentage you specify.
RR ( Risk Reward ): The take profit level is determined based on the distance from the stop level.
You can mix and match these options as you like.
What makes the indicator unique and effective is its ability to display the RSI in the bottom chart and the signals, SL (Stop Loss), and TP (Take Profit) levels in the overlay chart simultaneously. This feature allows you to manage your trading quickly and easily without the need for using two separate indicators.
Let's try out a few strategies together.
My entry signal: RSI Entered OS (Oversold) Zone
My exit signal: RSI Entered OB (Overbought) Zone
I'm not using a stoploss for this strategy ("Fortune favors the brave").
Let's keep ourselves safe by adding a stop loss.
I'm adding an ATR-based stop loss.
I think it's better now.
If you have any questions or suggestions about the indicator, you can contact me.
Cheers
ProTrend Adaptive Indicator by TradingClueThe " ProTrend Adaptive " is an innovative trading indicator, aimed at offering traders an advanced method for detecting market trends with higher precision. This tool ingeniously integrates the principles of the Supertrend indicator with adaptive linear regression channels , enhancing its sensitivity to current market dynamics.
▯ Core Features ▯
✅ Trend Detection
At its heart, the ProTrend Adaptive utilizes a dual-approach for identifying trends. The first layer is derived from the Supertrend indicator, known for its effectiveness in highlighting ongoing trends using price average and volatility. This is visually represented by distinct red and green areas above or below the price candles, indicating bearish or bullish trends, respectively.
✅ Adaptive Linear Regression Channels
The second layer employs adaptive linear regression channels, which dynamically adjust their length based on the Average True Range (ATR), a measure of market volatility. This adaptability ensures the indicator remains attuned to changing market conditions, offering more relevant trend lines and signals.
✅ Signal Sensitivity
By leveraging the ATR not just in the Supertrend calculation but also to dynamically adjust the linear regression channels, the ProTrend Adaptive offers heightened sensitivity to market changes, ensuring traders receive timely and accurate signals.
✅ Entry Signals & Trend Strength
Entry points for potential trades are marked by triangles. Additionally, the indicator includes a feature that displays the strength of a trend through transparent bars below the candles, calculated using the Average Directional Index (ADX), providing users with valuable insight into the vigor of the trend.
▯ Importance of Adaptive Approach ▯
The adaptive nature of the ProTrend Adaptive's linear regression channels is crucial for its performance. Traditional linear regression channels are fixed in their period, which can render them less effective during periods of significant volatility shifts. By making the length of these channels responsive to the ATR, the ProTrend Adaptive ensures that the trend lines and signals it generates are always aligned with the current market context, offering traders a dynamic tool that adjusts in real-time to volatility changes.
▯ Supertrend Indicator Explained ▯
The Supertrend Indicator is a popular tool among traders for its simplicity and effectiveness in identifying market trends. It calculates the average price momentum and volatility to determine whether the market is in a bullish or bearish phase. Its visual simplicity, showing clear bullish and bearish zones, makes it an invaluable component of the ProTrend Adaptive, providing a solid foundation for trend detection upon which the adaptive linear regression channels build.
▯ Example ▯
This example illustrates several robust entry signals. These signals can seamlessly integrate into an overarching trading strategy, with exit points determined through a separate calculation. This approach allows traders to tailor their entry and exit strategies to their specific trading objectives, leveraging the ProTrend Adaptive for precise market entry while applying customized criteria for exit decisions.
Caution: Trading carries a significant risk of financial loss, and past performance does not guarantee future results. Signals may be conflicting or ambiguous. Employ risk reduction techniques, such as setting stop losses, to mitigate potential losses.
Day Open Line + SMA 8/3 Crossover + BollingerHow Users Can Make Profit Using This Script:
DAYS OPEN LINE:
1.Purpose: Publishing a "Days Open Line" indicator serves to inform customers about the operational schedule of a business or service.
2.Visibility: It ensures that the information regarding the days of operation is easily accessible to current and potential customers.
3.Transparency: By making the operational schedule public, businesses demonstrate transparency and reliability to their customers.
4.Accessibility: The indicator should be published on various platforms such as the business website, social media channels, and physical locations to ensure accessibility to a wide audience.
5.Clarity: The information should be presented in a clear and concise manner, specifying the days of the week the business is open and the corresponding operating hours.
6.Updates: It's important to regularly update the "Days Open Line" indicator to reflect any changes in the operational schedule, such as holidays or special events.
7.Customer Convenience: Providing this information helps customers plan their visits accordingly, reducing inconvenience and frustration due to unexpected closures.
8.Expectation Management: Setting clear expectations regarding the business hours helps manage customer expectations and reduces the likelihood of disappointment or complaints.
9.Customer Service: Publishing the "Days Open Line" indicator demonstrates a commitment to customer service by ensuring that customers have the information they need to engage with the business.
10.Brand Image: Consistently .maintaining and updating the indicator contributes to a positive brand image, as it reflects professionalism, reliability, and a customer-centric approach.
SMA CROSS:
1.This indicator generates buy and sell signals based on the crossover of two Simple Moving Averages (SMA): a shorter 3-day SMA and a longer 8-day SMA.
When the 3-day SMA crosses above the 8-day SMA, it generates a buy signal indicating a potential upward trend.
Conversely, when the 3-day SMA crosses below the 8-day SMA, it generates a sell signal indicating a potential downward trend.
Signal Interpretation:
2.Buy Signal: Generated when the 3-day SMA crosses above the 8-day SMA.
Sell Signal: Generated when the 3-day SMA crosses below the 8-day SMA.
Usage:
3.Traders can use this indicator to identify potential entry and exit points in the market.
Buy signals suggest a bullish trend, indicating a favorable time to enter or hold a long position.
4.Sell signals suggest a bearish trend, indicating a potential opportunity to exit or take a short position.
Parameters:
5.Periods: 3-day SMA and 8-day SMA.
Price: Closing price is commonly used, but users can choose other price types (open, high, low) for calculation.
Confirmation:
6.It's recommended to use additional technical analysis tools or confirmatory indicators to validate signals and minimize false signals.
Risk Management:
7.Implement proper risk management strategies, such as setting stop-loss orders, to mitigate losses in case of adverse price movements.
Backtesting:
8.Before using the indicator in live trading, conduct thorough backtesting to evaluate its effectiveness under various market conditions.
Considerations:
9.While SMA crossovers can provide valuable insights, they may generate false signals during ranging or choppy markets.
Combine this indicator with other technical analysis techniques for comprehensive market analysis.
Continuous Optimization:
10.Monitor the performance of the indicator and adjust parameters or incorporate additional filters as needed to enhance accuracy over time.
BOLLINGER BAND:
1.Definition: A Bollinger Band indicator is a technical analysis tool that consists of a centerline (typically a moving average) and two bands plotted above and below it. These bands represent volatility around the moving average.
2.Purpose: Publishing a Bollinger Band indicator serves to provide traders and investors with insights into the volatility and potential price movements of a financial instrument.
3.Visualization: The indicator is typically displayed on price charts, allowing users to visualize the relationship between price movements and volatility levels.
4.Interpretation: Traders use Bollinger Bands to identify overbought and oversold conditions, potential trend reversals, and volatility breakouts.
5.Components: The indicator consists of three main components: the upper band, lower band, and centerline (usually a simple moving average). These components are calculated based on standard deviations from the moving average.
6.Parameters: Traders can adjust the parameters of the Bollinger Bands, such as the period length and standard deviation multiplier, to customize the indicator based on their trading strategy and preferences.
7.Signals: Bollinger Bands generate signals when prices move outside the bands, indicating potential trading opportunities. For example, a price breakout above the upper band may signal a bullish trend continuation, while a breakout below the lower band may indicate a bearish trend continuation.
8.Confirmation: Traders often use other technical indicators or price action analysis to confirm signals generated by Bollinger Bands, enhancing the reliability of their trading decisions.
9.Education: Publishing Bollinger Band indicators can serve an educational purpose, helping traders learn about technical analysis concepts and how to apply them in real-world trading scenarios.
10.Risk Management: Traders should exercise proper risk management when using Bollinger Bands, as false signals and market volatility can lead to losses. Publishing educational content alongside the indicator can help users understand the importance of risk management in trading.
VWAP:
1.Calculation: VWAP is calculated by dividing the cumulative sum of price times volume traded for every transaction (price * volume) by the total volume traded.
2.Time Frame: VWAP is typically calculated for a specific time frame, such as a trading day or a session.
3.Intraday Trading: It's commonly used by intraday traders to assess the fair value of a security and to determine if the current price is above or below the average price traded during the day.
4.Execution: Institutional traders often use VWAP as a benchmark for executing large orders, aiming to buy at prices below VWAP and sell at prices above VWAP.
5.Benchmark: It serves as a benchmark for traders to evaluate their trading performance. Trades executed below VWAP are considered good buys, while those above are considered less favorable.
6.Sensitivity: VWAP is more sensitive to price and volume changes during periods of high trading activity and less sensitive during periods of low trading activity.
7.Day's End: VWAP resets at the end of each trading day, providing a new reference point for the following trading session.
8.Volume Weighting: The weighting by volume means that prices with higher trading volumes have a greater impact on VWAP than those with lower volumes.
9.Popular with Algorithmic Traders: Algorithmic trading systems often incorporate VWAP strategies to execute trades efficiently and minimize market impact.
10.Limitations: While VWAP is a useful indicator, it's not foolproof. It may lag behind rapidly changing market conditions and may not be suitable for all trading strategies or market conditions. Additionally, it's more effective in liquid markets where there is significant trading volume.
How the Script Works:
1.Utilizes Day Open Line for accurate market entry points.
2.Identifies bullish trends with SMA 3 crossover SMA 8.
3.Signals potential sell opportunities with SMA 8 crossunder SMA 3.
4.Bollinger Bands indicate overbought and oversold conditions.
5.VWAP offers insights into average price levels weighted by volume.
6.Combination of indicators enhances trade confirmation.
7.Facilitates precise timing for buy and sell decisions.
8.Enables traders to capitalize on market volatility.
9.Empowers users to navigate dynamic market conditions.
10.Supports profitable trading strategies with comprehensive analysis.
11.It is known when the market is sideways.
Smart Money Concepts [UAlgo]🔶 Description:
Smart Money Concepts (SMC) refer to a trading strategy that revolves around understanding and following the actions of institutional investors, such as banks and hedge funds, who are considered the “smart money” in the market. The concept is based on the idea that these institutions have more information and resources, and thus their market activities can indicate future market movements.
This script designed to be a tool that will automatically provide many features related to SMC concept for investors, offering a market structure analysis that includes the identification of order blocks, breaker blocks, and liquidity points. It also delineates premium and discount zones, highlights Fair Value Gaps (FVG), Volume Imbalance (VI) and Order Gap (OG) areas, providing users with a multifaceted view of market dynamics.
🔶 Key Features:
Market Structure Analysis : Simplifies the overview of market behavior, identifies market breakouts or trend continuation.
It detects the market structure as shown in the image below :
Order Blocks : Detects Order Blocks based on market structure analysis and volume characteristics. It draws these blocks and provides information such as volume.
Order Block Identification:
Breaker Blocks : Detects Breaker Blocks based on market structure analysis.
Breaker Block Identification:
When Order Block above is broken,
As you can see, it has now turned into a Bearish Breaker Block,
And it seems that the price is getting a reaction from this breaker block above.
Liquidity Sweeps : Tracks liquidity sweeps on both the buy and sell sides, offering traders a perspective on market momentum and potential shifts.
Multi-Timeframe Fair Value Gap (FVG), Volume Imbalance (VI), Order Gaps (OG) Detection : Detects Fair Value Gap (FVG), Volume Imbalance (VI) and Order Gaps (OG) based on different criteria such as price movements and volume characteristics. It marks these gaps/voids and provides visual cues for analysis.
Examle for FVG:
Premium & Discount Zone Analysis : Analyzes premium and discount zones, showing prices within these zones and highlighting equilibrium (0.5) levels.
Customizable Options : Provides various input parameters for customization, such as market structure length, sensitivity settings, display preferences, and mitigation methods.
Previous Key Levels : Identifies previous key levels include previous highs, lows, equilibrium points, and open prices across different timeframes such as daily, weekly, and monthly.
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Pro Divergence Adaptive [regular + hidden] by TradingClue🔴 Overview 🔴
ProDivergence Adaptive is a versatile tool designed to identify regular and hidden divergences , including regular divergences from higher timeframes , on any given chart.
This indicator combines two major approaches of identifying divergences:
- Using price-action , identification of higher-highs, higher-lows etc.
- Using a statistical model (linear regression) to determine the direction of movements
To be more sensitive to the current market conditions, both were implemented in an adaptive way.
🔴 How the mechanics and calculations work 🔴
✅ short recap on what divergences are
Regular divergences occur when the price moves opposite to a selected oscillator, signaling potential trend reversals. They can be spotted on higher timeframes, providing stronger confirmation for potential reversals when aligned with signals on the current timeframe.
Hidden divergences indicate trend continuation. Combining these on various timeframes provides a more comprehensive analysis for traders to identify entry or exit points in the market
✅ Price Action
A regular bullish divergence happens when the price of an asset is forming lower lows, while the oscillator is forming higher lows.
A regular bearish divergence occurs when the price of an asset is forming higher highs, while the oscillator is forming lower highs
A hidden bullish divergence happens when the price of an asset is making higher lows during an uptrend, but the oscillator is making lower lows.
A hidden bearish divergence occurs when the price of an asset is making lower highs during a downtrend, but the oscillator is making higher highs.
"Lows" are signaled by a minimum value that is surrounded by higher low values.
"Highs" are signaled by a maximum value that is surrounded by lower high values.
Since there is no smoothing involved, there is only minimal lag.
✅ Statistical Model
When using linear regression to identify divergences between the price of an asset and an oscillator, we apply a statistical approach to find trends in the data. This method allows for a more nuanced detection of divergences, as it considers the overall direction of price points and oscillator values rather than individual highs and lows.
Regular Bullish Divergence: Occurs when the linear regression of the asset's price shows a downward trend while the linear regression of the oscillator indicates an upward trend.
Regular Bearish Divergence: Happens when the linear regression of the asset's price is upward but the linear regression of the oscillator is downward.
Hidden Bullish Divergence: Identified when, during an uptrend, the linear regression of the price is upward, but the linear regression of the oscillator trends downward.
Hidden Bearish Divergence: Occurs when, during a downtrend, the linear regression of the price trends downward, but the linear regression of the oscillator is upward.
Using linear regression smooths out fluctuations and focuses on the overall trend direction of both price and oscillator, reducing the impact of short-term volatility and providing a clearer view of the market's momentum.
✅ Adaptive Approach
Traditional oscillator settings do not account for changes in market volatility, leading to potential misalignment with current market conditions. This can result in either too many false signals during high volatility periods or missed opportunities in lower volatility settings due to the oscillator's static nature.
The adaptive approach adjusts the oscillator's settings based on the Average True Range (ATR), a measure of market volatility. By dynamically altering the oscillator length in relation to the current ATR value compared to its historical range, the settings become responsive to the market's volatility.
This adaptive method enhances the detection of meaningful divergences between price and oscillator movements by ensuring the oscillator is finely tuned to the current market environment. It results in a more accurate identification of potential reversal points, crucial for the success of divergence-based trading strategies.
🔴 Key Features 🔴
Identifies regular and hidden divergences
Multi-Timeframe Analysis
Adaptive Oscillator Configuration, level of adaptiveness can be adjusted
Supported Oscillators: CCI, Momentum, RSI
Boundaries for the dynamic length of the oscillator can be applied
Works for all kinds of assets (Forex, Stocks, Crypto, Commodities, Futures, ...)
Works on all timeframes
🔴 Examples 🔴
✅ Canadian Dollar / Japanese Yen, 4H Chart, FX:CADJPY
Divergences of Price vs CCI. The adaptive/ dynamic length of the CCI can range between 5 and 12.
✅ Bitcoin / U.S. Dollar, 2H Chart BITSTAMP:BTCUSD
Divergences of Price vs Momentum. The adaptive/ dynamic length of the Momentum can range between 4 and 13.
Caution: Trading carries a significant risk of financial loss, and past performance does not guarantee future results. Signals may be conflicting or ambiguous. Employ risk reduction techniques, such as setting stop losses, to mitigate potential losses.
WaveTrendnel Oscillator [UAlgo]🔶Description:
The WaveTrendnel Oscillator, is a technical analysis tool designed for traders to identify potential trend reversals and overbought/oversold conditions in the market. It combines the concepts of wave analysis and trend analysis to generate signals based on the current market conditions. This indicator aims to provide traders with insights into the strength and direction of the prevailing trend, facilitating better decision-making in trading strategies.
🔶Key Features:
Customizable Parameters: Users can customize various parameters including the source data, channel length, average length, and signal length according to their trading preferences and market conditions.
Signal Display: The indicator offers the option to display buy and sell signals on the chart, helping traders to visually identify potential entry and exit points.
Wave and Kernel Analysis: The WaveTrendnel Oscillator utilizes a rational quadratic kernel function, which applies a mathematical approach known as the kernel method. This method analyzes historical price data by assigning weights to each data point based on its proximity to the current period, providing a smoother and more accurate representation of market trends.
Overbought/Oversold Levels: Traders can define overbought and oversold levels using customizable threshold parameters, enabling them to identify potential reversal points in the market.
🔶Credit:
The WaveTrendnel Oscillator indicator is a modification of the original WaveTrend Oscillator developed by @LazyBear on TradingView.
🔶Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
U-Oscillator Pro [UAlgo]The U-Oscillator Pro is a comprehensive technical analysis tool designed to assist traders in making informed decisions in financial markets. This indicator integrates various features including oscillator, bands, trend clouds divergences, and confluence signals to provide a comprehensive view of market dynamics.
🔶 Oscillator :
U-Oscillator uses an amalgamation of price, momentum, and volatility elements to provide a comprehensive market view. It provides a common output about the market and is easy to use.
Oscillator Features :
Customizable Oscillator Length : This parameter sets the length of the oscillator.
Use Machine Learning On Oscillator Calculation : By evaluating the output of the oscillator, this data set calculates a weighted average of the data set by taking each point with a certain weight and using these weights. This is often used in situations where some data points are more important or need to have more impact than others. A weight for each point that the oscillator calculates may represent the importance or impact of that point. By including all these calculations in the oscillator, it provides a result.
Reversal Signals : Determines whether to display reversal signals on the chart. When set to true, it enables the plotting of reversal signals based on certain conditions for both long (buy) and short (sell) signals. These signals can be interpreted as "potential" turning points of the market. Signals are represented by small shapes on the chart, with green indicating short (sell) signals and red indicating long (buy) signals.
🔶 Extreme Bands:
These regions can be described as the possible reversal regions of the price and obtained by deviations of oscillator values.
Extreme Bands Features:
Band Length : Determines the length of the bands.
Show Extreme Bands : Option to display the extreme bands.
Show Middle Line : Option to show the middle line.
Transparency Mode : Adjust the transparency level of the bands.
It would not be wrong to consider it as potential overbought and oversold regions.
Example:
🔶 Divergences :
The divergence calculation in this script identifies potential reversals by analyzing pivot points in the oscillator. Here's how it works:
Divergence Features :
Pivot Length: The user specifies the length of the divergence calculation (pivotLength), which determines the number of bars to consider for pivot analysis.
Pivot Identification: The script searches for pivot highs and lows within the specified length. These pivots indicate potential turning points in the oscillator.
Divergence Conditions: Different conditions are evaluated based on the identified pivots to determine the presence of bullish or bearish divergences:
Regular Bullish Divergence: Occurs when the oscillator makes a lower low while the price makes a higher low.
Hidden Bullish Divergence: Occurs when the oscillator makes a higher low while the price makes a lower low.
Regular Bearish Divergence: Occurs when the oscillator makes a higher high while the price makes a lower high.
Hidden Bearish Divergence: Occurs when the oscillator makes a lower high while the price makes a higher high.
Visualization: Detected divergences are plotted on the chart using shapes and lines, indicating potential reversal points. Users can choose which types of divergences to display using input options.
🔶 Trend Cloud :
This section can provide information about the long-term direction of the price and the current status of the trend. The increase in the visibility of the cloud can provide information about the strength of the trend.
Trend Cloud Features :
Show Trend Cloud: This setting allows you to choose whether the trend cloud is displayed on the chart or not.
Fast Trend Cloud Mode: This feature can be used to provide information about the cloud's shorter-term trend and its strength.
Classic Mode of Trend Cloud :
Fast Mode of Trend Cloud :
🔶 Confluence :
This section of the script aims to identify potential reversal confluences based on the deviation between the price and a combination of oscillator values. The confluence signals are categorized into light and heavy, representing different levels of potential reversal strength.
Confluence Features :
Show Light/Heavy Reversal Confluences: This setting allows users to control the visibility of the confluence signals on the chart.
Confluence Term: Users can select the term for calculating the confluence, which in turn affects the sensitivity of the confluence signals. The available options are Short, Medium, and Long.
Confluence Signal Conditions:
Light Bearish Reversal Confluence: This type of confluence occurs when there is a moderate deviation between the price and the oscillator values, indicating a potential shift towards a bearish reversal in the market sentiment.
Heavy Bearish Reversal Confluence: In contrast, a heavy bearish reversal confluence signifies a significant deviation between the price and the oscillator values, suggesting a strong indication of a bearish reversal in the market sentiment.
Light Bullish Reversal Confluence: Similar to light bearish reversal confluence, light bullish reversal confluence occurs with a moderate deviation between the price andthe oscillator values, indicating a potential shift towards a bullish reversal in the market sentiment.
Heavy Bullish Reversal Confluence: On the other hand, heavy bullish reversal confluence indicates a substantial deviation between the price andthe oscillator values, suggesting a strong indication of a bullish reversal in the market sentiment.
Plotting Confluence Signals: Shapes (triangles) are plotted on the chart to indicate the presence of confluence signals. Red triangles denote bearish signals, while green triangles denote bullish signals.
This confluence analysis provides traders with additional insights into potential reversal points or helping them make more informed trading decisions.
Example For Confluence :
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Liquidation Longs/Shorts [UAlgo]🔶Description:
The "Liquidation Longs/Shorts " indicator is designed to identify potential liquidation levels for long and short positions. It calculates the distance of the selected price source (close, high, low, or open) from two moving averages (MA) and plots the resulting values on the chart. When the price is at an extreme distance from the moving averages, it suggests a potential liquidation point for either long or short positions.
🔶Key Features:
Liquidation Calculations: The indicator calculates the distance of the selected price source from two moving averages: a simple moving average (SMA) and an exponential moving average (EMA) with customizable lengths.
Color Customization: Users can customize the colors of the plotted columns representing the distance from the moving averages for long and short liquidation levels.
Liquidation Circles: The indicator marks potential liquidation levels with small circles on the chart, with customizable colors for long and short liquidations.
Orange Circles -> Identifies Potential Short Liquidations
Aqua Circles -> Identifies Potential Long Liquidations
Example:
Adaptive Source Selection: Traders can select the price source (close, high, low, or open) for liquidation calculations, allowing flexibility based on their trading strategies.
Dynamic Threshold Calculation: The indicator dynamically adjusts the liquidation threshold based on the selected moving average lengths, providing adaptability to changing market conditions.
Disclaimer:
Use with Caution: This indicator is provided for educational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
This indicator serves as a tool to assist traders in identifying potential liquidation levels, but it should be used in conjunction with other technical analysis tools and risk management practices for effective trading decision-making.
Portfolio HeatThe "Portfolio Heat" indicator offers a visual representation of potential risk exposure for a portfolio across up to eight different symbols. It dynamically calculates three risk metrics based on current price, the number of shares owned, your designated stop loss, and total account size.
Open Dollar Risk – the total dollar amount you will lose if your stop loss is hit.
Open % of Portfolio Risk – the risk as a percentage of your total account size.
Starting Capital Risk – the dollar amount risked based on the difference between the entry price and stop price.
These metrics adjust in real-time, allowing you to monitor and manage risk more effectively.
Open portfolio heat refers to how much you would lose if all your currently held stock positions hit their stop-losses, whether those stop-losses are below what you paid for them - referred to as your “cost basis” - at your cost basis (breakeven) or above your cost basis (in the money). Admittedly, it’s a pretty bad day when all your stops are hit at once, but as traders we need to prepare for the worst. To visualize what “open heat” looks like on a single stock position, please note the chart below:
In the example above you can see that if you were to purchase 100 shares of this stock at a cost-basis of $18/share, and your stop-loss is placed at $15, if the current price of the stock is at $20 and the stock price drops to hit your stop-loss, it would result in a $500 total drawdown in your portfolio. Keep in mind this is just one stock position. Hypothetically, if you were even holding two stocks that had the above open heat, with a $10,000 account size, you could experience a 10% drawdown quite fast if the market corrects.
The “Portfolio Heat” indicator is fully customizable allowing traders to select the number of positions in the portfolio, colors and a detailed or a summary view of risk.
Note if entering a short position, you will enter the number of shares owned as a negative number.
Price based concepts / quantifytools- Overview
Price based concepts incorporates a collection of multiple price action based concepts. Main component of the script is market structure, on top of which liquidity sweeps and deviations are built on, leaving imbalances the only standalone concept included. Each concept can be enabled/disabled separately for creating a selection of indications that one deems relevant for their purposes. Price based concepts are quantified using metrics that measure their expected behavior, such as historical likelihood of supportive price action for given market structure state and volume traded at liquidity sweeps. The concepts principally work on any chart, whether that is equities, currencies, cryptocurrencies or commodities, charts with volume data or no volume data. Essentially any asset that can be considered an ordinary speculative asset. The concepts also work on any timeframe, from second charts to monthly charts. None of the indications are repainted.
Market structure
Market structure is an analysis of support/resistance levels (pivots) and their position relative to each other. Market structure is considered to be bullish on a series of higher highs/higher lows and bearish on a series of lower highs/lower lows. Market structure shifts from bullish to bearish and vice versa on a break of the most recent pivot high/low, indicating weak ability to defend a key level from the dominating side. Supportive market structure typically provides lengthier and sustained trending environment, making it an ideal point of confluence for establishing directional bias for trades.
Liquidity sweeps
Liquidity sweeps are formed when price exceeds a pivot level that served as a provable level of demand once and is expected to display demand again when revisited. A simple way to look at liquidity sweeps is re-tests of untapped support/resistance levels.
Deviations
Deviations are formed when price exceeds a reference level (market structure shift level/liquidity sweep level) and shortly closes back in, leaving participating breakout traders in an awkward position. On further adverse movement, stuck breakout traders are forced to cover their underwater positions, creating ideal conditions for a lengthier reversal.
Imbalances
Imbalances, also known as fair value gaps or single prints, depict areas of inefficient and one sided transacting. Given inclination for markets to trade efficiently, price is naturally attracted to areas that lack proper participation, making imbalances ideal targets for entries or exits.
Key takeaways
- Price based concepts consists of market structure, liquidity sweeps, deviations and imbalances.
- Market structure shifts from bullish to bearish and vice versa on a break of the most recent pivot high/low, indicating weak ability to defend a key level from the dominating side.
- Supportive market structure tends to provide lengthier and sustained movement for the dominating side, making it an ideal foundation for establishing directional bias for trades.
- Liquidity sweeps are formed when price exceeds an untapped support/resistance level that served as a provable level of demand in the past, likely to show demand again when revisited.
- Deviations are formed when price exceeds a key level and shortly closes back in, leaving breakout traders in an awkward position. Further adverse movement compels trapped participants to cover their positions, creating ideal conditions for a reversal.
- Imbalances depict areas of inefficient and one sided transacting where price is naturally attracted to, making them ideal targets for entries or exits.
- Price based concepts are quantified using metrics that measure expected behavior, such as historical likelihood of supportive structure and volume traded at liquidity sweeps.
- For practical guide with practical examples, see last section.
Accessing script 🔑
See "Author's instructions" section, found at bottom of the script page.
Disclaimer
Price based concepts are not buy/sell signals, a standalone trading strategy or financial advice. They also do not substitute knowing how to trade. Example charts and ideas shown for use cases are textbook examples under ideal conditions, not guaranteed to repeat as they are presented. Price based concepts notify when a set of conditions are in place from a purely technical standpoint. Price based concepts should be viewed as one tool providing one kind of evidence, to be used in conjunction with other means of analysis.
Price based concepts are backtested using metrics that reasonably depict their expected behaviour, such as historical likelihood of supportive price movement on each market structure state. The metrics are not intended to be elaborate and perfect, but to serve as a general barometer for feedback created by the indications. Backtesting is done first and foremost to exclude scenarios where the concepts clearly don't work or work suboptimally, in which case they can't be considered as valid evidence. Even when the metrics indicate historical reactions of good quality, price impact can and inevitably does deviate from the expected. Past results do not guarantee future performance.
- Example charts
Chart #1 : BTCUSDT
Chart #2 : EURUSD
Chart #3 : ES futures
Chart #4 : NG futures
Chart #5 : Custom timeframes
- Concepts
Market structure
Knowing when price has truly pivoted is much harder than it might seem at first. In this script, pivots are determined using a custom formula based on volatility adjusted average price, a fundamentally different approach to the widely used highest/lowest price within X amount of bars. The script calculates average price within set period and adjusts it to volatility. Using this formula, the script determines when price has turned significantly enough and aggressively enough to constitute a relevant pivot, resulting in high accuracy while ruling out subjective decision making completely. Users can adjust length of market structure basis and sensitivity of volatility adjustment to achieve desired magnitude of pivots, reflected on the average swing metrics. Note that structure pivots are backpainted. Typical confirmation time for a pivot is within 2-3 bars after peak in price.
Market structure shifts
Generally speaking, traders consider market structure to have shifted when most recent structure high/low gets taken out, flipping underlying bias from one side over to the other (e.g. from bullish structure favoring upside to bearish structure favoring downside). However, there are many ways to approach the concept and the most popular method might not always be the best one. Users can determine their own market structure shift rules by choosing source (close, high, low, ohlc4 etc.) for determining structure shift. Users can also choose additional rules for structure shift, such as two consecutive closes above/below pivot to qualify as a valid shift.
Liquidity sweeps
Users can set maximum amount of bars liquidity levels are considered relevant from the moment of confirmed pivot. By default liquidity levels are monitored for 250 bars and then discarded. Level of tolerance can be set to anything between 100 and 1000 bars. For each liquidity sweep, relative volume (volume relative to volume moving average) is stored and added to average calculations for keeping track of typical depth of liquidity found at sweeps.
Deviations
Users can set a maximum amount of bars price has to spend above/below reference level to consider a deviation to be in place. By default set to 6 bars.
Imbalances
Users can set a desired fill point for imbalances using the following options: 100%, 75%, 50%, 25%. Users can also opt for excluding insignificant imbalances to attain better relevance in indications.
- Backtesting
Built-in backtesting is based on metrics that are considered to reasonably quantify expected behaviour of the main concept, market structure. Structure feedback is monitored using two metrics, supportive structure and structure period gain. Rest of the metrics provided are informational in nature, such as average swing and average relative volume traded at liquidity sweeps. Main purpose of the metrics is to form a general barometer for monitoring whether or not the concepts can be viewed as valid evidence. When the concepts are clearly not working optimally, one should adjust expectations accordingly or take action to improve performance. To make any valid conclusions of performance, sample size should also be significant enough to eliminate randomness effectively. If sample size on any individual chart is insufficient, one should view feedback scores on multiple correlating and comparable charts to make up for the loss.
For more elaborate backtesting, price based concepts can be used in any other script that has a source input, including fully mechanic strategies utilizing Tradingview's native backtester. Each concept and their indications (e.g. higher low on a bearish structure, lower high on a bullish structure, market structure shift up, imbalance filled etc.) can be utilized separately and used as a component in a backtesting script of your choice.
Structure feedback
Structure feedback is monitored using two metrics, likelihood of supportive price movement following a market structure shift and average structure period gain. If either of the two employed tests indicate failed reactions beyond a tolerable level, one should take action to improve feedback by adjusting the settings. If feedback metrics after adjusting the settings are still insufficient, the concepts are working suboptimally for the given chart and cannot be regarded as valid technical evidence as they are.
Metric #1 : Supportive structure
Each structure pivot is benchmarked against its respective structure shift level. Feedback is considered successful if structure pivot takes place above market structure shift level (in the case of bullish structure) or below market structure shift level (in the case of bearish structure). Structure feedback constitutes as one test indicating how often a market structure state results in price movement that can be considered supportive.
Metric #2 : Structure period gain
Each structure period is expected to present favorable appreciation, measured from one market structure shift level to another. E.g. bullish structure period gain is measured from market structure shift up level to market structure shift down level that ends the bullish structure period. Bearish structure is measured in a vice versa manner, from market structure shift down level to market structure shift up level that ends the bearish structure period. Feedback is considered successful if average structure period gain is supportive for a given structure (positive for bullish structure, negative for bearish structure).
Additional metrics
On top of structure feedback metrics, percentage gain for each swing (distance between a pivot to previous pivot) is recorded and stored to average calculations. Average swing calculations shed light on typical pivot magnitude for better understanding changes made in market structure settings. Average relative volume traded at liquidity sweep on the other hand gives a clue of depth of liquidity typically found on a sweeps.
Feedback scores
When market structure (basis for most concepts) is working optimally, quality threshold for both feedback metrics are met. By default, threshold for supportive structure is set to 66%, indicating valid feedback on 2/3 of backtesting periods on average. On top, average structure period gain needs to be positive (for bullish structures) and negative (for bearish structure) to qualify as valid feedback. When both tests are passed, a tick indicating valid feedback will appear next to feedback scores, otherwise an exclamation mark indicating suboptimal performance on either or both. If both or either test fail, market structure parameters need to be optimized for better performance or one needs to adjust expectations accordingly.
Verifying backtest calculations
Backtest metrics can be toggled on via input menu, separately for bullish and bearish structure. When toggled on, both cumulative and average counters used in backtesting will appear on "Data Window" tab. Calculation states are shown at a point in time where cursor is hovered. E.g. when hovering cursor on 4th of January 2021, backtest calculations as they were during this date will be shown.
- Alerts
Available alerts are the following.
- HH/HL/LH/LL/EQL/EQH on a bullish/bearish structure
- Bullish/bearish market structure shift
- Bullish/bearish imbalance created
- Bullish/bearish imbalance filled
- Bullish/bearish liquidity sweep
- Bullish/bearish deviation
- Visuals
Each concept can be enabled/disabled separately for creating a selection indications that one deems relevant for their purposes. On top, each concept has a stealth visual option for more discreet visuals.
Unfilled imbalances and untapped liquidity levels can be extended forward to better gauge key areas of interest.
Liquidity sweeps have an intensity option, using color and width to visualize volume traded at sweep.
Market structure states and market structure shifts can be visualized as chart color.
Metric table can be offsetted horizontally or vertically from any four corners of the chart, allowing space for tables from other scripts.
Table sizes, label sizes and colors are fully customizable via input menu.
- Practical guide
The basic idea behind market structure is that a side (bulls or bears) have shown significant weakness on a failed attempt to defend a key level (most recent pivot high/low). In the same way, a side has shown significant strength on a successful attempt to break through a key level. This successful break through a key level often leads to sustained lengthier movement for the side that provably has the upper hand, making it an ideal tool for establishing directional bias.
Multi-timeframe view of market structure provides crucial guidance for analyzing market structure states on any individual timeframe. If higher timeframe market structure is bullish, it doesn't make sense to expect contradicting lower timeframe market structure to provide significant adverse movement, but rather a normal correction within a long term trend. In the same way, if lower timeframe market structure is in agreement with higher timeframe market structure, one can expect a reliable trending environment to ensue as multiple points of confluence are in place.
Bullish structure can be considered constructive on a series of higher highs and higher lows, indicating strong interest from bulls to sustain an uptrend. Vice versa is true for bearish structure, a series of lower highs and lower lows can be considered constructive. When structure does not indicate strong interest to maintain a supportive trend (lower highs on bullish structure, higher lows on bearish structure), a structure shift and a turn in trend might be nearing.
Market structure shifts are of great interest for breakout traders who position for continuation. Structure shifts can indeed be fertile ground for executing a breakout trade, but breakouts can easily turn into fakeouts that leave participants in an awkward position. When price moves further away from the underwater participants, potential for snowball effect of covering positions and driving price further away is elevated.
Liquidity sweeps as a concept is based on the premise that pivoting price is evidence of meaningful depth of liquidity found at/around pivot. If liquidity existed at a pivot once, it is likely to exist there in the future as well. When price grinds against liquidity, it is on a path of resistance rather than path of least resistance. Pivots are also attractive placements for traders to set stop-losses, which act as fuel for price to move to the opposite direction when swept and triggered.
Behind tightly formed pivots are potentially many stop-loss orders lulled in the comfort of having many layers of levels protecting their position. Compression that leaves such clusters of unswept liquidity rarely goes unvisited.
As markets strive for efficient and proper transacting most of the time, imbalances serve as points in price where price is naturally attracted to. However, imbalances too are contextual and sometimes one sided trading is rewarded with follow through, rather than with a fill. Identifying market regimes give further clue into what to expect from imbalances. In a ranging environment, one can expect imbalances to fill relatively quick, making them ideal targets for entries and exits.
On a strongly trending environment on the other hand imbalances tend to stick for a much longer time. In such environments continuation can be expected with no fills or only partial fills. Signs of demand preventing fill attempts serve as additional clues for imminent continuation.
[MAD] Position starter & calculatorThe tool you're using is a financial instrument trading planner and analyzer.
Here is how to use it:
Trade Planning: You can plan your trade entries and exits, calculating potential profits, losses, and their ratio (P/L ratio).
You can define up to five target closing prices with varying volumes, which can be individually activated or deactivated (volume set to 0%).
Risk Management: There's a stop-loss function to calculate and limit potential losses.
Additionally, it includes a liquidation pre-calculation for adjustable leverages and position maintenance(subject to exchange variation).
Customization: You can customize the tool's appearance with five adjustable color schemes, light and dark.
-----------------
Initiation: This tool functions as an indicator.
To start, add it as an indicator.
Once added, you can close the indicator window.
Now wait, till you'll see a blue box at the bottom of the input window.
Parameter Input:
Enter your parameters (SL, box left, box right, TP1, TP2, TP3, TP4, TP5) in the direction of the desired trade.
Click from top to bottom for a short trade or bottom to top for a long trade.
Adjustment: If you want to move the box in the future, adjust the times in the indicator settings directly as click input is not yet platform-supported.
This tool functions as a ruler and doesn't offer alerts (for now).
Here is another examples of how to set up a Position-calculation but here for a short:
Have fun trading
Basic Position Calculator (BPC)In trading, proper position sizing is essential to managing risk and maximizing returns. The script provided is a Basic Position Calculator that allows traders to quickly and easily calculate their position size, stop loss, take profit, and risk reward ratio for a given trade.
The script starts by defining several inputs for the user to customize the calculations. The first input is the "Account Size", which specifies the total amount of funds available for the trade. The next input is "Risk Amount %", which is the percentage of the account size that the trader is willing to risk per trade. The "Stop Loss" input specifies the maximum amount of loss that the trader is willing to accept, while the "Reward" input is the desired profit target for the trade. Finally, there is a "Position" input that allows the user to specify where on the chart the table of calculations will be displayed.
The script then calculates the position size, stop loss, take profit and risk reward ratio using the user-specified inputs. The position size is calculated by dividing the risk amount by the stop loss. The stop loss is calculated by multiplying the stop loss percentage by the close price, and the take profit is calculated by multiplying the stop loss percentage by the close price and the reward. Risk-reward ratio is the ratio of amount of profit potential to the amount of risk in a trade.
The script then creates a table and displays the calculated values on the chart at the specified location. The table includes the following information: account size, position size, account risk %, stop loss, stop loss %, take profit, take profit % and risk reward ratio. This allows the trader to quickly and easily see all the key calculations for their trade in one place.
Overall, the Basic Position Calculator script is a valuable tool for any trader looking to quickly and easily calculate their position size, stop loss, take profit, and risk reward ratio for a given trade. The ability to customize the inputs and display the calculations on the chart makes it a useful and user-friendly tool for managing risk and maximizing returns.
Protervus Trading ToolkitHi Traders! Welcome to Protervus Trading Toolkit (PTT) , a comprehensive set of tools to help you building, backtesting, and even automating your strategy.
Important : the data and screenshots I publish are solely for presentation and explanation purposes and must not be intended as recommendations or guarantees. Please consider eventual backtesting results seen here as almost-random. My goal is not to provide ready-made strategies, signals, or infallible methods, but rather indicators and tools to help you focus on your own research and build a reliable trading plan based on discipline.
BUILD, BACKTEST, AUTOMATE
The first step is to link a chained indicator which will send Entry signals and, optionally, Exit signals: to integrate your own triggers with this toolkit, check out my tutorial and use this code as a template.
Then, in the Trading Settings you can set the Trading Mode (Full - Long and Short, Long only, or Short only) as well as Starting Capital, Drawdown Limit, Risk per Trade, Fees, and the date range in which trading will be enabled and backtested.
Go further by tweaking your strategy with built-in Take Profit and Stop Loss conditions, and keep it under control thanks to the Statistics Panel.
Trades will be shown on the chart, including TP\SL levels (according to the ones you enable) and per-trade statistics:
Tip: point the cursor over TP or SL icon to open the tooltip, showing additional details about the trade.
BUILT-IN CONDITIONS
Note: all conditions already account for fees.
Take Profit \ Stop Loss percentage
Take Profit or Stop at Loss when a fixed percentage is reached.
Limit \ Hard Stop: the trade will be considered closed when that specific price is reached - otherwise, the candle closing price will be used.
Trailing Take Profit
Trail the price and close the trade in profit when it reverses for the chosen percentage.
Engage and Disengage: activate trailing when the price is above the entry price for the chosen percentage, and de-activate it if price goes past the disengage percentage.
Safety TP: close the trade at Break-Even if the price sharply reverses from engaged area to BE level. A specific Alert is available in order to create a separate trigger with immediate effect.
Note: using TP Safety with an Engage % of zero might result in many early exits, so it is recommended to add some margin to Engage % to avoid that.
Exit \ Stop on Opposite Signal
Close the trade when another, contrary signal is received (e.g. close a Long position when a signal to go Short is received).
Exit \ Stop after X candles
Close the trade after X candles, as soon as the condition is met (e.g. for Take Profit condition, it will close the trade after X candles as soon as the trade is in profit).
Bind to TP \ SL: only validate the condition if the current PnL is above (TakeProfit cond.) or below (Stop Loss cond.) the specified percentage.
ATR Stop
Classic ATR Stop Loss.
Trailing ATR
Chase the price by the defined ratio and close the position when the candle closes past the ATR line.
Bind to TP \ SL: only validate the condition if the current PnL is above (TakeProfit cond.) or below (Stop Loss cond.) the specified percentage.
External Signal (sent from your indicator)
Close the position basing on your own triggers, defined in the chained indicator.
- Bind to TP \ SL: only validate the condition if the current PnL is above (TakeProfit cond.) or below (Stop Loss cond.) the specified percentage.
PANEL CUSTOMIZATION AND ADDITIONAL OPTIONS
A strategy name can be assigned in the settings and will show it at the top of the Statistics Panel, so you can better identify and label your tests and live instances.
The panel can be customized in terms of colors, text size and height. It can be also "split" in modular panels that will appear at the bottom of the chart.
It is also possible to show \ hide prices and live data labels as well as position and Break-Even levels. In some cases you will need to limit the display of those plots in order to avoid PineScript calculation issues.
If you limited the plots but you are checking very old trades, you can enable the Legacy position tracker to see basic markers for positions (position is active, and profit \ loss marker).
In the case you will be sending webhook alerts to a trading bot , "Position Alert Failover" will come in aid to prevent situations where the initial trade closing alert is either not sent or missed: it will keep sending the position closing signal for X candles.
PLUGINS
Thanks to the modular nature of PTT, plugins will eventually be available to provide additional features and extend functionalities even further. Make sure to keep an eye on updates.
CREATING ALERTS
To create alerts you must first select the PTT indicator from the "Condition" drop-down menu, then the whole list of available alerts will appear. When creating alerts, please make sure to set "Once Per Bar Close" for the normal conditions, and "Once Per Bar" for safety conditions (Limit and Hard Stop simulation, Trailing TP Safety Trigger).
Besides positions opening and closing alerts, you also have the option to add extra alerts for when a position is open or not open (e.g. Active Long position, No Long Position) - that might come handy when dealing with trading bots and automation tools. Also, as mentioned earlier, you have the chance to create a special alert as failover in order to repeat the closing alert.
TIPS AND RECOMMENDATIONS
Set Visual Order > Bring to front for PTT to avoid other indicators or candles covering up labels.
If you receive errors like "Referencing too many candles" or "Too many drawings", use the " Limit to last candles " function in the Settings panel to lower the number of candles.
If the Statistics Panel or labels are not appearing, and no errors are shown (red circled exclamation mark next to indicator's name), try changing any value in the settings to trigger a new calculation.
The Lowest Point in Trades refers to the maximum movement against your position. However, if the price never goes negative against the Entry level, it will be calculated from the Break-Even level.
Differently from TradingView's Strategy Tester, PTT calculates DrawDown from the Equity line (the starting balance).
Remember that Backtests only show past results, and although very useful to understand if your strategy makes sense, the market can completely change at any moment and ruin your dreams: make sure to avoid over-fitting (using very specific values) in your settings and to prefer more generic values in order to factor broader market situations.
After many successful backtests of your newly created strategy, let it run live without actually trading it for some time (paper trading), and see if it remains valid.
You can use multiple Conditions as safeguard. For example, main Stop condition can be Trailing ATR and secondary Stop condition can be Stop Loss % with Hard Stop, so you will be protected in case of sudden big price moves.
Commercial Algo Trend © Fzn V1Hello Traders,
Here i bring to you my 2nd Price Action Atr based Indictor combined with fib entry and exit trailing levels with minimum risk and maximum profit , as we must have seen at times as we enter the trend reverse and hits our stop losses . Keeping that in mind as i too struggled and made losses so i decided and focused more on minimizing the stop loss and only on confirmation of Long or Short trade is been initiated with proper Stop loss as explained in the images below , why should we give market our money ;) as we are here to make money :D .. There is no holy grail as Stop loss wont be hit but yes it will be way less and all alerts are based on candle close . One can use this on any chart and any timeframe and its very good for scalping too .ATR Trailing SL is added too just incase you want to enter and exit trend manually . Better results are on 15m and above . Hope you guys will like it and comment if you have any doubts..
-----------------
Disclaimer
Copyright by FaizanNawazz.
The information contained in my scripts/indicators/strategies/ideas 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, 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 are only for educational purposes!
Happy Trading!
AlphaTrendAlphaTrend is a brand new indicator which I've personally derived from Trend Magic and still developing:
In Magic Trend we had some problems, Alpha Trend tries to solve those problems such as:
1-To minimize stop losses and overcome sideways market conditions.
2-To have more accurate BUY/SELL signals during trending market conditions.
3- To have significant support and resistance levels.
4- To bring together indicators from different categories that are compatible with each other and make a meaningful combination regarding momentum, trend, volatility, volume and trailing stop loss.
according to those purposes Alpha Trend:
1- Acts like a dead indicator like its ancestor Magic Trendin sideways market conditions and doesn't give many false signals.
2- With another line with 2 bars offsetted off the original one Alpha Trend have BUY and SELL signals from their crossovers.
BUY / LONG when Alpha Trend line crosses above its 2 bars offsetted line and there would be a green filling between them
SELL / SHORT when Alpha Trend line crosses below its 2 bars offsetted line and filling would be red then.
3- Alpha Trend lines
-act as support levels when an uptrend occurs trailing 1*ATR (default coefficient) distance from bar's low values
-conversely act as resistancelevels when a downtrend occurs trailing 1*ATR (default coefficient) distance from bar's high values
and acting as trailing stop losses
the more Alpha Trend lines straighter the more supports and resistances become stronger.
4- Trend Magic has CCI in calculation
Alpha Trend has MFI as momentum, but when there's no volume data MFI has 0 values, so there's abutton to change calculation considering RSI after checking the relevant box to overcome this problem when there is no volume data in that chart.
Momentum: RSI and MFI
Trend: Magic Trend
Volatility: ATR,
Trailing STOP: ATR TRAILING STOP
Volume: MFI
Alpha trend is really a combination of different types...
default values:
coefficient: 1 which is the factor of trailing ATR value
common period: 14 which is the length of ATR MFI and RSI
Wish you all use AlphaTrend in profitable trades.
Kıvanç Özbilgiç
[Sextan] T-Step LSMA MTF BacktestLevel: 1
NOTE: This is a request by @scantor516 to backtest T-Step LSMA by alexgrover with my Sextan framework. You can backtest many of my indicators in minutes now! Of course,you can define your own indicator in the highlighted area in compliance with the uniform format, which guarantee when you use "Indicator on Indicator" function, it would not produce any error.
Courtesy of alexgrover for his T-Step LSMA
Background
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "death and alive", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
[Sextan] %R Trend Exhaustion BacktestLevel: 1
NOTE: This is a request by @upslidedown to backtest %R Trend Exhaustion by upslidedown with my Sextan framework. You can backtest many of my indicators in minutes now! Of course,you can define your own indicator in the highlighted area in compliance with the uniform format, which guarantee when you use "Indicator on Indicator" function, it would not produce any error.
Courtesy of upslidedown for his %R Trend Exhaustionindicator
Background
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "death and alive", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
[Sextan] Your Indicator Source PINE v5 MTFLevel: 1
NOTE1: As requested, this is a multiple time frame(MTF) version of input signal source, which enable you to backtest any indicator/strategy MTF with "{Sextan} PINEv4 Sextans Backtest Framework". Courtesy of cheatcountry for his request.security() wrapper in PINE v5 to avoid repainting caused by request.security() function.
NOTE2: Many request this indicator template to support PINE v5. Now, here it is .This is ONLY an PINE v5 EXAMPLE on HOW-TO produce a customized "{Sextan} PINEv4 Sextans Backtest Framework" (for bactest framework it does not need to be written by PINE v5)intput signal source, you can define your own indicator in the highlighted area in compliance with the uniform format, which guarantee when you use "Indicator on Indicator" function, it would not produce any error.
I use two simple moving average crossings to produce long and short entry signal with SMA3 and SMA8 in the example.
Background
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "death and alive", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
[Sextan] Your Indicator Source PINE v4 MTFLevel: 1
NOTE1: As requested, this is a multiple time frame(MTF) version of input signal source, which enable you to backtest any indicator/strategy MTF with "{Sextan} PINEv4 Sextans Backtest Framework". Courtesy of cheatcountry for his security() wrapper to avoid repainting caused by security() function.
NOTE2: This is ONLY an EXAMPLE on HOW-TO produce a customized "{Sextan} PINEv4 Sextans Backtest Framework" intput signal source, you can define your own indicator in the highlighted area in compliance with the uniform format, which guarantee when you use "Indicator on Indicator" function, it would not produce any error.
I use two simple moving average crossings to produce long and short entry signal with SMA3 and SMA8 in the example.
Background
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "death and alive", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
[Sextan] B-Xtrender BacktestLevel: 1
NOTE: This is a request by @scantor516 to backtest B-Xtrender @PuppyTherapy by QuantTherapy with my Sextan framework. You can backtest many of my indicators in minutes now! Of course,you can define your own indicator in the highlighted area in compliance with the uniform format, which guarantee when you use "Indicator on Indicator" function, it would not produce any error.
Courtesy of QuantTherapy for his B-Xtrender @PuppyTherapy
Background
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "death and alive", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
