Stocks

[COG]Nasdaq Weekly Seasonality Projection Nasdaq Weekly Seasonality Projection This indicator provides a visualization of Nasdaq seasonality patterns based on historical weekly performance data. It projects price movements for up to 26 weeks ahead, highlighting key seasonal periods that have historically affected tech stocks. Key Features: Projects price movements based on historical Nasdaq weekly seasonality patterns Highlights six key seasonal periods: January Effect, March Lows, April-May Strength, Tech Summer Rally, September Dip, and Q4 Tech Rally Customizable forecast length from 1-26 weeks with quick timeframe selection buttons Optional moving average smoothing for more gradual projections Detailed statistics table showing projected price and percentage change Seasonality mini-map showing the full annual pattern with current position Customizable colors and visual elements How to Use: Apply to Nasdaq indices or tech-focused instruments (daily timeframe or higher recommended) Set your desired forecast length (1-26 weeks) Monitor highlighted seasonal zones that have historically shown consistent patterns Use the projection line as a general guideline for potential price movement Settings: Forecast length: Configure from 1-26 weeks or use quick select buttons (1M, 3M, 6M, 1Y) Visual options: Customize colors, backgrounds, label sizes, and table position Display options: Toggle statistics table, period highlights, labels, and mini-map This indicator is designed as a visual guide to help identify potential seasonal tendencies in Nasdaq and tech stocks. Historical patterns are not guarantees of future performance, but understanding these seasonal biases can provide valuable context for your trading decisions. Note: For optimal visualization, use on Daily timeframe or higher. Intraday timeframes will display a warning message.

Indicateur

par CognitiveAlpha

Market Open Marker A simple script that marks the first candle of market open with a green line

Indicateur

FinFluential Global M2 Money Supply // Days Offset =The "Global M2 Money Supply" indicator calculates and visualizes the combined M2 money supply from multiple countries and regions worldwide, expressed in trillions of USD. M2 is a measure of the money supply that includes cash, checking deposits, and easily convertible near-money assets. This indicator aggregates daily M2 data from various economies, converts them into a common USD base using forex exchange rates, and plots the total as a single line on the chart. It is designed as an overlay indicator aligned to the right scale, making it ideal for comparing global money supply trends with price action or other market data. Key Features Customizable Time Offset: Users can adjust the number of days to shift the M2 data forward or backward (from -1000 to +1000 days) via the indicator settings. This allows for alignment with historical events or forward-looking analysis. Global Coverage Includes: Eurozone: Eurozone M2 (converted via EUR/USD) North America: United States, Canada Non-EU Europe: Switzerland, United Kingdom, Finland, Russia Pacific: New Zealand Asia: China, Taiwan, Hong Kong, India, Japan, Philippines, Singapore Latin America: Brazil, Colombia, Mexico Middle East: United Arab Emirates, Turkey Africa: South Africa

Indicateur

par Finfluential

Autocorrelation Price Forecasting [The Quant Science]Discover how to predict future price movements using autocorrelation and linear regression models to identify potential trading opportunities. An advanced model to predict future price movements using autocorrelation and linear regression. This script helps identify recurring market cycles and calculates potential gains, with clear visual signals for quick and informed decisions. Main function This script leverages an autocorrelation model to estimate the future price of an asset based on historical price relationships. It also integrates linear regression on percentage returns to provide more accurate predictions of price movements. Insights types 1) Red label on a green candle: Bearish forecast and swing trading opportunity. 2) Red label on a red candle: Bearish forecast and trend-following opportunity. 3) Green label on a red candle: Bullish forecast and swing trading opportunity. 4) Green label on a green candle: Bullish forecast and trend-following opportunity. IMPORTANT! The indicator displays a future price forecast. When negative, it estimates a future price drop. When positive, it estimates a future price increase. Key Features Customizable inputs Analysis Length: number of historical bars used for autocorrelation calculation. Adjustable between 1 and 200. Forecast Colors: customize colors for bullish and bearish signals. Visual insights Labels: hypothetical gains or losses are displayed as labels above or below the bars. Dynamic coloring: bullish (green) and bearish (red) signals are highlighted directly on the chart. Forecast line: A continuous line is plotted to represent the estimated future price values. Practical applications Short-term Trading: identify repetitive market cycles to anticipate future movements. Visual Decision-making: colored signals and labels make it easier to visualize potential profit or loss for each trade. Advanced Customization: adjust the data length and colors to tailor the indicator to your strategies. Limitations Prediction price models have some limitations. Trading decisions should be made with caution, considering additional market factors and risk management strategies.

Indicateur

par thequantscience

RSI Trend Bias █ OVERVIEW The RSI Trend Bias indicator is a custom technical analysis tool that utilizes the Relative Strength Index (RSI) to gauge market momentum and identify potential trend shifts. By monitoring RSI crossovers and crossunders relative to customizable threshold levels, the indicator provides clear visual cues that distinguish between bullish and bearish market conditions. This flexible approach makes it suitable for both short-term scalping and longer-term trend analysis. █ KEY FEATURES Dynamic RSI Trend Detection The indicator dynamically determines market bias by monitoring the RSI for crossovers above the upper threshold and crossunders below the lower threshold. This method ensures that only significant momentum shifts trigger a change in trend, reducing false signals in volatile markets. Adaptive Visualizations The RSI Trend Bias indicator enhances clarity by plotting the RSI with colors that reflect current market conditions. Additionally, it offers an optional background color change to further emphasize bullish or bearish states, providing immediate visual feedback to traders. Clear Threshold Indicators Upper and lower threshold levels are plotted as constant reference lines, clearly delineating overbought and oversold regions. These markers help traders quickly assess market conditions at a glance. Customizable Settings Users have full control over key parameters including the RSI length, threshold levels, and visual settings. This customization allows the indicator to be tailored for different markets and trading styles, ensuring optimal performance across various timeframes. █ UNDERLYING METHODOLOGY & CALCULATIONS RSI Calculation The indicator computes the Relative Strength Index over a user-defined period (default is 14), providing a measure of market momentum that reflects price changes over time. Trend Determination Logic By detecting when the RSI crosses above the upper threshold, the indicator signals a shift towards bullish momentum. Conversely, a crossunder below the lower threshold indicates bearish conditions. This straightforward binary approach filters out minor fluctuations, ensuring clarity in trend analysis. Visual Signal Integration Based on the detected trend, the RSI line is dynamically colored—green for bullish conditions and red for bearish conditions. An optional background color change further reinforces these signals, offering an immediate visual cue of prevailing market sentiment. █ HOW TO USE THE INDICATOR 1 — Apply the Indicator • Add the RSI Trend Bias indicator to a separate pane in your trading platform. 2 — Adjust Settings for Your Market • RSI Length – Define the period for RSI calculation (default is 14). • Threshold Levels – Set the upper (default 70) and lower (default 30) thresholds to identify overbought and oversold conditions. • Visual Customization – Choose the bullish (green) and bearish (red) colors, and enable background color changes to enhance visual trend recognition. 3 — Interpret the Signals • RSI Line – Observe the dynamically colored RSI line; a shift to green signals bullish momentum, while red indicates bearish conditions. • Threshold Levels – Use the constant upper and lower lines as reference points for overbought and oversold states. • Signal Timing – A crossover above the upper threshold or a crossunder below the lower threshold suggests potential entry or exit points. 4 — Integrate with Your Trading Strategy • Combine RSI Trend Bias signals with other technical analysis tools to confirm market direction. • Utilize the visual cues for fine-tuning your entry and exit decisions, ensuring robust risk management and optimized trade timing. █ CONCLUSION The RSI Trend Bias indicator offers a streamlined yet effective approach to monitoring market momentum. By leveraging the established principles of RSI analysis alongside dynamic visual cues, it enables traders to quickly identify bullish and bearish trends. Its customizable features and clear threshold indicators make it a valuable tool for enhancing technical analysis and making informed trading decisions.

Indicateur

[SHORT ONLY] 10 Bar Low Pullback █ STRATEGY DESCRIPTION The "10 Bar Low Pullback" strategy is a contrarian short trading system designed to capture pullbacks after a new 10‐bar low is made. it identifies a potential short opportunity when the current bar’s low breaks below the lowest low of the previous 10 bars, provided that the bar exhibits strong internal momentum as measured by its IBS value. An optional trend filter further refines entries by requiring that the close is below a 200-period EMA. █ WHAT IS INTERNAL BAR STRENGTH (IBS)? Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as: ibs = (close - low) / (high - low) - Low IBS (≤ 0.2): Indicates the close is near the bar's low, suggesting oversold conditions. - High IBS (≥ 0.8): Indicates the close is near the bar's high, suggesting overbought conditions. █ SIGNAL GENERATION 1. SHORT ENTRY A Short Signal is triggered when: The current bar’s low is below the lowest low of the past X bars (default: 10). The bar’s IBS is greater than the specified threshold (default: 0.85). The signal occurs within the defined trading window (between Start Time and End Time). If the EMA Filter is enabled, the close must be below the 200-period EMA. 2. EXIT CONDITION An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), indicating a potential bearish reversal and prompting the strategy to close its short position. █ ADDITIONAL SETTINGS Lookback Period: Defines the number of bars (default is 10) over which the lowest low is calculated. IBS Threshold: Sets the minimum required IBS value (default is 0.85) to qualify as a pullback. Trading Window: Trades are only executed between the user-defined Start Time and End Time. EMA Filter (Optional): When enabled, short entries are only considered if the current close is below the 200-period EMA, with the EMA period being adjustable (default is 200). █ PERFORMANCE OVERVIEW Designed for shorting opportunities, this strategy aims to capture pullbacks following an aggressive 10-bar low break. It leverages a combination of a lookback low and IBS measurement to identify overextended bullish moves that may revert. The optional EMA filter helps confirm a bearish market environment by ensuring the price remains under the trend line. Suitable for use on various assets, including stocks and ETFs, on daily or similar timeframes. Backtesting and parameter optimization are recommended to tailor the strategy to specific market conditions.

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[SHORT ONLY] ATR Sell the Rip Mean Reversion Strategy █ STRATEGY DESCRIPTION The "ATR Sell the Rip Mean Reversion Strategy" is a contrarian system that targets overextended price moves on stocks and ETFs. It calculates an ATR‐based trigger level to identify shorting opportunities. When the current close exceeds this smoothed ATR trigger, and if the close is below a 200-period EMA (if enabled), the strategy initiates a short entry, aiming to profit from an anticipated corrective pullback. █ HOW IS THE ATR SIGNAL BAND CALCULATED? This strategy computes an ATR-based signal trigger as follows: Calculate the ATR The strategy computes the Average True Range (ATR) using a configurable period provided by the user: atrValue = ta.atr(atrPeriod) Determine the Threshold Multiply the ATR by a predefined multiplier and add it to the current close: atrThreshold = close + atrValue * atrMultInput Smooth the Threshold Apply a Simple Moving Average over a specified period to smooth out the threshold, reducing noise: signalTrigger = ta.sma(atrThreshold, smoothPeriodInput) █ SIGNAL GENERATION 1. SHORT ENTRY A Short Signal is triggered when: The current close is above the smoothed ATR signal trigger. The trade occurs within the specified trading window (between Start Time and End Time). If the EMA filter is enabled, the close must also be below the 200-period EMA. 2. EXIT CONDITION An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), indicating a potential bearish reversal and prompting the strategy to close its short position. █ ADDITIONAL SETTINGS ATR Period: The period used to calculate the ATR, allowing for adaptability to different volatility conditions (default is 20). ATR Multiplier: The multiplier applied to the ATR to determine the raw threshold (default is 1.0). Smoothing Period: The period over which the raw ATR threshold is smoothed using an SMA (default is 10). Start Time and End Time: Defines the time window during which trades are allowed. EMA Filter (Optional): When enabled, short entries are only executed if the current close is below the 200-period EMA, confirming a bearish trend. █ PERFORMANCE OVERVIEW This strategy is designed for use on the Daily timeframe, targeting stocks and ETFs by capitalizing on overextended price moves. It utilizes a dynamic, ATR-based trigger to identify when prices have potentially peaked, setting the stage for a mean reversion short entry. The optional EMA filter helps align trades with broader market trends, potentially reducing false signals. Backtesting is recommended to fine-tune the ATR multiplier, smoothing period, and EMA settings to match the volatility and behavior of specific markets.

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[SHORT ONLY] Consecutive Bars Above MA Strategy █ STRATEGY DESCRIPTION The "Consecutive Bars Above MA Strategy" is a contrarian trading system aimed at exploiting overextended bullish moves in stocks and ETFs. It monitors the number of consecutive bars that close above a chosen short-term moving average (which can be either a Simple Moving Average or an Exponential Moving Average). Once the count reaches a preset threshold and the current bar’s close exceeds the previous bar’s high within a designated trading window, a short entry is initiated. An optional EMA filter further refines entries by requiring that the current close is below the 200-period EMA, helping to ensure that trades are taken in a bearish environment. █ HOW ARE THE CONSECUTIVE BULLISH COUNTS CALCULATED? The strategy utilizes a counter variable, `bullCount`, to track consecutive bullish bars based on their relation to the short-term moving average. Here’s how the count is determined: Initialize the Counter The counter is initialized at the start: var int bullCount = na Bullish Bar Detection For each bar, if the close is above the selected moving average (either SMA or EMA, based on user input), the counter is incremented: bullCount := close > signalMa ? (na(bullCount) ? 1 : bullCount + 1) : 0 Reset on Non-Bullish Condition If the close does not exceed the moving average, the counter resets to zero, indicating a break in the consecutive bullish streak. █ SIGNAL GENERATION 1. SHORT ENTRY A short signal is generated when: The number of consecutive bullish bars (i.e., bars closing above the short-term MA) meets or exceeds the defined threshold (default: 3). The current bar’s close is higher than the previous bar’s high. The signal occurs within the specified trading window (between Start Time and End Time). Additionally, if the EMA filter is enabled, the entry is only executed when the current close is below the 200-period EMA. 2. EXIT CONDITION An exit signal is triggered when the current close falls below the previous bar’s low, prompting the strategy to close the short position. █ ADDITIONAL SETTINGS Threshold: The number of consecutive bullish bars required to trigger a short entry (default is 3). Trading Window: The Start Time and End Time inputs define when the strategy is active. Moving Average Settings: Choose between SMA and EMA, and set the MA length (default is 5), which is used to assess each bar’s bullish condition. EMA Filter (Optional): When enabled, this filter requires that the current close is below the 200-period EMA, supporting entries in a downtrend. █ PERFORMANCE OVERVIEW This strategy is designed for stocks and ETFs and can be applied across various timeframes. It seeks to capture mean reversion by shorting after a series of bullish bars suggests an overextended move. The approach employs a contrarian short entry by waiting for a breakout (close > previous high) following consecutive bullish bars. The adjustable moving average settings and optional EMA filter allow for further optimization based on market conditions. Comprehensive backtesting is recommended to fine-tune the threshold, moving average parameters, and filter settings for optimal performance.

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[SHORT ONLY] Consecutive Close>High[1] Mean Reversion Strategy █ STRATEGY DESCRIPTION The "Consecutive Close > High " Mean Reversion Strategy is a contrarian daily trading system for stocks and ETFs. It identifies potential shorting opportunities by counting consecutive days where the closing price exceeds the previous day's high. When this consecutive day count reaches a predetermined threshold, and if the close is below a 200-period EMA (if enabled), a short entry is triggered, anticipating a corrective pullback. █ HOW ARE THE CONSECUTIVE BULLISH COUNTS CALCULATED? The strategy uses a counter variable called `bullCount` to track how many consecutive bars meet a bullish condition. Here’s a breakdown of the process: Initialize the Counter var int bullCount = 0 Bullish Bar Detection Every time the close exceeds the previous bar's high, increment the counter: if close > high bullCount += 1 Reset on Bearish Bar When there is a clear bearish reversal, the counter is reset to zero: if close < low bullCount := 0 █ SIGNAL GENERATION 1. SHORT ENTRY A Short Signal is triggered when: The count of consecutive bullish closes (where close > high ) reaches or exceeds the defined threshold (default: 3). The signal occurs within the specified trading window (between Start Time and End Time). 2. EXIT CONDITION An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), prompting the strategy to exit the position. █ ADDITIONAL SETTINGS Threshold: The number of consecutive bullish closes required to trigger a short entry (default is 3). Start Time and End Time: The time window during which the strategy is allowed to execute trades. EMA Filter (Optional): When enabled, short entries are only triggered if the current close is below the 200-period EMA. █ PERFORMANCE OVERVIEW This strategy is designed for Stocks and ETFs on the Daily timeframe and targets overextended bullish moves. It aims to capture mean reversion by entering short after a series of consecutive bullish closes. Further optimization is possible with additional filters (e.g., EMA, volume, or volatility). Backtesting should be used to fine-tune the threshold and filter settings for specific market conditions.

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[SHORT ONLY] Internal Bar Strength (IBS) Mean Reversion Strategy █ STRATEGY DESCRIPTION The "Internal Bar Strength (IBS) Strategy" is a mean-reversion strategy designed to identify trading opportunities based on the closing price's position within the daily price range. It enters a short position when the IBS indicates overbought conditions and exits when the IBS reaches oversold levels. This strategy is Short-Only and was designed to be used on the Daily timeframe for Stocks and ETFs. █ WHAT IS INTERNAL BAR STRENGTH (IBS)? Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as: IBS = (Close - Low) / (High - Low) - Low IBS (≤ 0.2) : Indicates the close is near the bar's low, suggesting oversold conditions. - High IBS (≥ 0.8) : Indicates the close is near the bar's high, suggesting overbought conditions. █ SIGNAL GENERATION 1. SHORT ENTRY A Short Signal is triggered when: The IBS value rises to or above the Upper Threshold (default: 0.9). The Closing price is greater than the previous bars High (close>high ). The signal occurs within the specified time window (between `Start Time` and `End Time`). 2. EXIT CONDITION An exit Signal is generated when the IBS value drops to or below the Lower Threshold (default: 0.3). This prompts the strategy to exit the position. █ ADDITIONAL SETTINGS Upper Threshold: The IBS level at which the strategy enters trades. Default is 0.9. Lower Threshold: The IBS level at which the strategy exits short positions. Default is 0.3. Start Time and End Time: The time window during which the strategy is allowed to execute trades. █ PERFORMANCE OVERVIEW This strategy is designed for Stocks and ETFs markets and performs best when prices frequently revert to the mean. The strategy can be optimized further using additional conditions such as using volume or volatility filters. It is sensitive to extreme IBS values, which help identify potential reversals. Backtesting results should be analyzed to optimize the Upper/Lower Thresholds for specific instruments and market conditions.

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Ultimate Volatility Scanner by NHBprod - Requested by Client!Hey Everyone! I created another script to add to my growing library of strategies and indicators that I use for automated crypto and stock trading! This strategy is for BITCOIN but can be used on any stock or crypto. This was requested by a client so I thought I should create it and hopefully build off of it and build variants! This script gets and compares the 14-day volatility using the ATR percentage for a list of cryptocurrencies and stocks. Cryptocurrencies are preloaded into the script, and the script will show you the TOP 5 coins in terms of volatility, and then compares it to the Bitcoin volatility as a reference. It updates these values once per day using daily timeframe data from TradingView. The coins are then sorted in descending order by their volatility. If you don't want to use the preloaded set of coins, you have the option of inputting your own coins AND/OR stocks! Let me know your thoughts.

Indicateur

par taughttotrade

Statistical Arbitrage Pairs Trading - Long-Side Only This strategy implements a simplified statistical arbitrage (" stat arb ") approach focused on mean reversion between two correlated instruments. It identifies opportunities where the spread between their normalized price series (Z-scores) deviates significantly from historical norms, then executes long-only trades anticipating reversion to the mean. Key Mechanics: 1. Spread Calculation: The strategy computes Z-scores for both instruments to normalize price movements, then tracks the spread between these Z-scores. 2. Modified Z-Score: Uses a robust measure combining the median and Median Absolute Deviation (MAD) to reduce outlier sensitivity. 3. Entry Signal: A long position is triggered when the spread’s modified Z-score falls below a user-defined threshold (e.g., -1.0), indicating extreme undervaluation of the main instrument relative to its pair. 4. Exit Signal: The position closes automatically when the spread reverts to its historical mean (Z-score ≥ 0). Risk management: Trades are sized as a percentage of equity (default: 10%). Includes commissions and slippage for realistic backtesting.

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Bearish Wick Reversal █ STRATEGY OVERVIEW The "Bearish Wick Reversal Strategy" identifies potential bullish reversals following significant bearish price rejection (long lower wicks). This counter-trend approach enters long positions when bearish candles show exaggerated downside wicks relative to closing prices, then exits on bullish confirmation signals. Includes optional EMA trend filtering for improved reliability. █ What is a Bearish Wick? A price rejection pattern where: Bearish candle (close < open) forms with extended lower wick Wick represents failed selloff: Low drops significantly below close Measured as: (Low - Close)/Close × 100 (Negative percentage indicates downward extension) █ SIGNAL GENERATION 1. LONG ENTRY CONDITION Bearish candle forms with close < open Lower wick exceeds user-defined threshold (Default: -1% of close price) The signal occurs within the specified time window If enabled, the close price must also be above the 200-period EMA (Exponential Moving Average) 2. EXIT CONDITION A Sell Signal is generated when the current closing price exceeds the highest high of the previous seven bars (`close > _highest `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position. █ PERFORMANCE OVERVIEW Ideal Market: Volatile instruments with frequent price rejections Key Risk: False signals in sustained bearish trends Optimization Tip: Test various thresholds Filter Impact: EMA reduces trades but improves win rate and reduces drawdown

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Gap Down Reversal Strategy █ STRATEGY OVERVIEW The "Gap Down Reversal Strategy" capitalizes on price recovery patterns following bearish gap-down openings. This mean-reversion approach enters long positions on confirmed intraday recoveries and exits when prices breach previous session highs. This strategy is NOT optimized. █ What is a Gap Down Reversal? A gap down reversal occurs when: An instrument opens significantly below its prior session's low (price gap) Selling pressure exhausts itself during the session Buyers regain control, pushing price back above the opening level Creates a candlestick with: • Open < Prior Session Low (true gap) • Close > Open (bullish reversal candle) █ SIGNAL GENERATION 1. LONG ENTRY CONDITION Previous candle closes BELOW its opening price (bearish candle) Current session opens BELOW prior candle's low (gap down) Current candle closes ABOVE its opening price (bullish reversal) Executes market order at session close 2. EXIT CONDITION A Sell Signal is generated when the current closing price exceeds the highest high of the previous seven bars (`close > _highest `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position. █ PERFORMANCE OVERVIEW Ideal Market: High volatility instruments with frequent gaps Key Risk: False reversals in sustained downtrends Optimization Tip: Test varying gap thresholds (1-3% ranges)

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3 Down, 3 Up Strategy █ STRATEGY DESCRIPTION The "3 Down, 3 Up Strategy" is a mean-reversion strategy designed to capitalize on short-term price reversals. It enters a long position after consecutive bearish closes and exits after consecutive bullish closes. This strategy is NOT optimized and can be used on any timeframes. █ WHAT ARE CONSECUTIVE DOWN/UP CLOSES? - Consecutive Down Closes: A sequence of trading bars where each close is lower than the previous close. - Consecutive Up Closes: A sequence of trading bars where each close is higher than the previous close. █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The price closes lower than the previous close for Consecutive Down Closes for Entry (default: 3) consecutive bars. The signal occurs within the specified time window (between Start Time and End Time). If enabled, the close price must also be above the 200-period EMA (Exponential Moving Average). 2. EXIT CONDITION A Sell Signal is generated when the price closes higher than the previous close for Consecutive Up Closes for Exit (default: 3) consecutive bars. █ ADDITIONAL SETTINGS Consecutive Down Closes for Entry: Number of consecutive lower closes required to trigger a buy. Default = 3. Consecutive Up Closes for Exit: Number of consecutive higher closes required to exit. Default = 3. EMA Filter: Optional 200-period EMA filter to confirm long entries in bullish trends. Default = disabled. Start Time and End Time: Restrict trading to specific dates (default: 2014-2099). █ PERFORMANCE OVERVIEW Designed for volatile markets with frequent short-term reversals. Performs best when price oscillates between clear support/resistance levels. The EMA filter improves reliability in trending markets but may reduce trade frequency. Backtest to optimize consecutive close thresholds and EMA period for specific instruments.

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Internal Bar Strength (IBS) Strategy █ STRATEGY DESCRIPTION The "Internal Bar Strength (IBS) Strategy" is a mean-reversion strategy designed to identify trading opportunities based on the closing price's position within the daily price range. It enters a long position when the IBS indicates oversold conditions and exits when the IBS reaches overbought levels. This strategy was designed to be used on the daily timeframe. █ WHAT IS INTERNAL BAR STRENGTH (IBS)? Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as: IBS = (Close - Low) / (High - Low) - **Low IBS (≤ 0.2)**: Indicates the close is near the bar's low, suggesting oversold conditions. - **High IBS (≥ 0.8)**: Indicates the close is near the bar's high, suggesting overbought conditions. █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The IBS value drops below the Lower Threshold (default: 0.2). The signal occurs within the specified time window (between `Start Time` and `End Time`). 2. EXIT CONDITION A Sell Signal is generated when the IBS value rises to or above the Upper Threshold (default: 0.8). This prompts the strategy to exit the position. █ ADDITIONAL SETTINGS Upper Threshold: The IBS level at which the strategy exits trades. Default is 0.8. Lower Threshold: The IBS level at which the strategy enters long positions. Default is 0.2. Start Time and End Time: The time window during which the strategy is allowed to execute trades. █ PERFORMANCE OVERVIEW This strategy is designed for ranging markets and performs best when prices frequently revert to the mean. It is sensitive to extreme IBS values, which help identify potential reversals. Backtesting results should be analyzed to optimize the Upper/Lower Thresholds for specific instruments and market conditions.

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Buy on 5 day low Strategy █ STRATEGY DESCRIPTION The "Buy on 5 Day Low Strategy" is a mean-reversion strategy designed to identify potential buying opportunities when the price drops below the lowest low of the previous five days. It enters a long position when specific conditions are met and exits when the price exceeds the high of the previous day. This strategy is optimized for use on daily or higher timeframes. █ WHAT IS THE 5-DAY LOW? The 5-Day Low is the lowest price observed over the last five days. This level is used as a reference to identify potential oversold conditions and reversal points. █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The close price is below the lowest low of the previous five days (`close < _lowest `). The signal occurs within the specified time window (between `Start Time` and `End Time`). 2. EXIT CONDITION A Sell Signal is generated when the current closing price exceeds the high of the previous day (`close > high `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position. █ ADDITIONAL SETTINGS Start Time and End Time: The time window during which the strategy is allowed to execute trades. █ PERFORMANCE OVERVIEW This strategy is designed for mean-reverting markets and performs best when the price frequently oscillates around key support levels. It is sensitive to oversold conditions, as indicated by the 5-Day Low, and overbought conditions, as indicated by the previous day's high. Backtesting results should be analyzed to optimize the strategy for specific instruments and market conditions.

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3-Bar Low Strategy █ STRATEGY DESCRIPTION The "3-Bar Low Strategy" is a mean-reversion strategy designed to identify potential buying opportunities when the price drops below the lowest low of the previous three bars. It enters a long position when specific conditions are met and exits when the price exceeds the highest high of the previous seven bars. This strategy is suitable for use on various timeframes. █ WHAT IS THE 3-BAR LOW? The 3-Bar Low is the lowest price observed over the last three bars. This level is used as a reference to identify potential oversold conditions and reversal points. █ WHAT IS THE 7-BAR HIGH? The 7-Bar High is the highest price observed over the last seven bars. This level is used as a reference to identify potential overbought conditions and exit points. █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The close price is below the lowest low of the previous three bars (`close < _lowest `). The signal occurs within the specified time window (between `Start Time` and `End Time`). If the EMA Filter is enabled, the close price must also be above the 200-period Exponential Moving Average (EMA). 2. EXIT CONDITION A Sell Signal is generated when the current closing price exceeds the highest high of the previous seven bars (`close > _highest `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position. █ ADDITIONAL SETTINGS MA Period: The lookback period for the 200-period EMA used in the EMA Filter. Default is 200. Use EMA Filter: Enables or disables the EMA Filter for long entries. Default is disabled. Start Time and End Time: The time window during which the strategy is allowed to execute trades. █ PERFORMANCE OVERVIEW This strategy is designed for mean-reverting markets and performs best when the price frequently oscillates around key support and resistance levels. It is sensitive to oversold conditions, as indicated by the 3-Bar Low, and overbought conditions, as indicated by the 7-Bar High. Backtesting results should be analyzed to optimize the MA Period and EMA Filter settings for specific instruments.

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Bollinger Bands Reversal + IBS Strategy █ STRATEGY DESCRIPTION The "Bollinger Bands Reversal Strategy" is a mean-reversion strategy designed to identify potential buying opportunities when the price deviates below the lower Bollinger Band and the Internal Bar Strength (IBS) indicates oversold conditions. It enters a long position when specific conditions are met and exits when the IBS indicates overbought conditions. This strategy is suitable for use on various timeframes. █ WHAT ARE BOLLINGER BANDS? Bollinger Bands consist of three lines: - **Basis**: A Simple Moving Average (SMA) of the price over a specified period. - **Upper Band**: The basis plus a multiple of the standard deviation of the price. - **Lower Band**: The basis minus a multiple of the standard deviation of the price. Bollinger Bands help identify periods of high volatility and potential reversal points. █ WHAT IS INTERNAL BAR STRENGTH (IBS)? Internal Bar Strength (IBS) is a measure of where the closing price is relative to the high and low of the bar. It is calculated as: IBS = (Close - Low) / (High - Low) A low IBS value (e.g., below 0.2) indicates that the close is near the low of the bar, suggesting oversold conditions. A high IBS value (e.g., above 0.8) indicates that the close is near the high of the bar, suggesting overbought conditions. █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The IBS value is below 0.2, indicating oversold conditions. The close price is below the lower Bollinger Band. The signal occurs within the specified time window (between `Start Time` and `End Time`). 2. EXIT CONDITION A Sell Signal is generated when the IBS value exceeds 0.8, indicating overbought conditions. This prompts the strategy to exit the position. █ ADDITIONAL SETTINGS Length: The lookback period for calculating the Bollinger Bands. Default is 20. Multiplier: The number of standard deviations used to calculate the upper and lower Bollinger Bands. Default is 2.0. Start Time and End Time: The time window during which the strategy is allowed to execute trades. █ PERFORMANCE OVERVIEW This strategy is designed for mean-reverting markets and performs best when the price frequently deviates from the Bollinger Bands. It is sensitive to oversold and overbought conditions, as indicated by the IBS, which helps to identify potential reversals. Backtesting results should be analyzed to optimize the Length and Multiplier parameters for specific instruments.

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Average High-Low Range + IBS Reversal Strategy █ STRATEGY DESCRIPTION The "Average High-Low Range + IBS Reversal Strategy" is a mean-reversion strategy designed to identify potential buying opportunities when the price deviates significantly from its average high-low range and the Internal Bar Strength (IBS) indicates oversold conditions. It enters a long position when specific conditions are met and exits when the price shows strength by exceeding the previous bar's high. This strategy is suitable for use on various timeframes. █ WHAT IS THE AVERAGE HIGH-LOW RANGE? The Average High-Low Range is calculated as the Simple Moving Average (SMA) of the difference between the high and low prices over a specified period. It helps identify periods of increased volatility and potential reversal points. █ WHAT IS INTERNAL BAR STRENGTH (IBS)? Internal Bar Strength (IBS) is a measure of where the closing price is relative to the high and low of the bar. It is calculated as: IBS = (Close - Low) / (High - Low) A low IBS value (e.g., below 0.2) indicates that the close is near the low of the bar, suggesting oversold conditions. █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The close price has been below the buy threshold (calculated as `upper - (2.5 * hl_avg)`) for a specified number of consecutive bars (`bars_below_threshold`). The IBS value is below the specified buy threshold (`ibs_buy_treshold`). The signal occurs within the specified time window (between `Start Time` and `End Time`). 2. EXIT CONDITION A Sell Signal is generated when the current closing price exceeds the high of the previous bar (`close > high `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position. █ ADDITIONAL SETTINGS Length: The lookback period for calculating the average high-low range. Default is 20. Bars Below Threshold: The number of consecutive bars the price must remain below the buy threshold to trigger a Buy Signal. Default is 2. IBS Buy Threshold: The IBS value below which a Buy Signal is triggered. Default is 0.2. Start Time and End Time: The time window during which the strategy is allowed to execute trades. █ PERFORMANCE OVERVIEW This strategy is designed for mean-reverting markets and performs best when the price frequently deviates from its average high-low range. It is sensitive to oversold conditions, as indicated by the IBS, which helps to identify potential reversals. Backtesting results should be analyzed to optimize the Length, Bars Below Threshold, and IBS Buy Threshold parameters for specific instruments.

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Turn of the Month Strategy on Steroids █ STRATEGY DESCRIPTION The "Turn of the Month Strategy on Steroids" is a seasonal mean-reversion strategy designed to capitalize on price movements around the end of the month. It enters a long position when specific conditions are met and exits when the Relative Strength Index (RSI) indicates overbought conditions. This strategy is optimized for use on daily or higher timeframes. █ WHAT IS THE TURN OF THE MONTH EFFECT? The Turn of the Month effect refers to the observed tendency of stock prices to rise around the end of the month. This strategy leverages this phenomenon by entering long positions when the price shows signs of a reversal during this period. █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The current day of the month is greater than or equal to the specified `dayOfMonth` threshold (default is 25). The close price is lower than the previous day's close (`close < close `). The previous day's close is also lower than the close two days ago (`close < close `). The signal occurs within the specified time window (between `Start Time` and `End Time`). There is no existing open position (`strategy.position_size == 0`). 2. EXIT CONDITION A Sell Signal is generated when the 2-period RSI exceeds 65, indicating overbought conditions. This prompts the strategy to exit the position. █ ADDITIONAL SETTINGS Day of Month: The day of the month threshold for triggering a Buy Signal. Default is 25. Start Time and End Time: The time window during which the strategy is allowed to execute trades. █ PERFORMANCE OVERVIEW This strategy is designed to exploit seasonal price patterns around the end of the month. It performs best in markets where the Turn of the Month effect is pronounced. Backtesting results should be analyzed to optimize the `dayOfMonth` threshold and RSI parameters for specific instruments.

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Consecutive Bearish Candle Strategy █ STRATEGY DESCRIPTION The "Consecutive Bearish Candle Strategy" is a momentum-based strategy designed to identify potential reversals after a sustained bearish move. It enters a long position when a specific number of consecutive bearish candles occur and exits when the price shows strength by exceeding the previous bar's high. This strategy is optimized for use on various timeframes and instruments. █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The close price has been lower than the previous close for at least `Lookback` consecutive bars. This indicates a sustained bearish move, suggesting a potential reversal. The signal occurs within the specified time window (between `Start Time` and `End Time`). 2. EXIT CONDITION A Sell Signal is generated when the current closing price exceeds the high of the previous bar (`close > high `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position. █ ADDITIONAL SETTINGS Lookback: The number of consecutive bearish bars required to trigger a Buy Signal. Default is 3. Start Time and End Time: The time window during which the strategy is allowed to execute trades. █ PERFORMANCE OVERVIEW This strategy is designed for markets with frequent momentum shifts. It performs best in volatile conditions where price movements are significant. Backtesting results should be analysed to optimize the `Lookback` parameter for specific instruments.

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4 Bar Momentum Reversal strategy █ STRATEGY DESCRIPTION The "4 Bar Momentum Reversal Strategy" is a mean-reversion strategy designed to identify price reversals following a sustained downward move. It enters a long position when a reversal condition is met and exits when the price shows strength by exceeding the previous bar's high. This strategy is optimized for indices and stocks on the daily timeframe. █ WHAT IS THE REFERENCE CLOSE? The Reference Close is the closing price from X bars ago, where X is determined by the Lookback period. Think of it as a moving benchmark that helps the strategy assess whether prices are trending upwards or downwards relative to past performance. For example, if the Lookback is set to 4, the Reference Close is the closing price 4 bars ago (`close `). █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The close price has been lower than the Reference Close for at least `Buy Threshold` consecutive bars. This indicates a sustained downward move, suggesting a potential reversal. The signal occurs within the specified time window (between `Start Time` and `End Time`). 2. EXIT CONDITION A Sell Signal is generated when the current closing price exceeds the high of the previous bar (`close > high `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position. █ ADDITIONAL SETTINGS Buy Threshold: The number of consecutive bearish bars needed to trigger a Buy Signal. Default is 4. Lookback: The number of bars ago used to calculate the Reference Close. Default is 4. Start Time and End Time: The time window during which the strategy is allowed to execute trades. █ PERFORMANCE OVERVIEW This strategy is designed for trending markets with frequent reversals. It performs best in volatile conditions where price movements are significant. Backtesting results should be analysed to optimize the Buy Threshold and Lookback parameters for specific instruments.

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