SPDR S&P 500 ETF (SPY)

QQQ Strategy v2 ESL | easy-peasy-x This is a strategy optimized for QQQ (and SPY) for the 1H timeframe. It significantly outperforms passive buy-and-hold approach. With settings adjustments, it can be used on various assets like stocks and cryptos and various timeframes, although the default out of the box settings favor QQQ 1H. The strategy uses various triggers to take both long and short trades. These can be adjusted in settings. If you try a different asset, see what combination of triggers works best for you. Some of the triggers employ LuxAlgo's Ultimate RSI - shoutout to him for great script, check it out here . Other triggers are based on custom signed standard deviation - basically the idea is to trade Bollinger Bands expansions (long to the upside, short to the downside) and fade or stay out of contractions. There are three key moving averages in the strategy - LONG MA, SHORT MA, BASIC MA. Long and Short MAs are guides to eyes on the chart and also act as possible trend filters (adjustable in settings). Basic MA acts as guide to eye and a possible trade trigger (adjustable in settings). There are a few trend filters the strategy can use - moving average, signed standard deviation, ultimate RSI or none. The filters act as an additional condition on triggers, making the strategy take trades only if both triggers and trend filter allows. That way one can filter out trades with unfavorable risk/reward (for instance, don't long if price is under the MA200). Different trade filters can be used for long and short trades. The strategy employs various stop loss types, the default of which is a trailing %-based stop loss type. ATR-based stop loss is also available. The default 1.5% trailing stop loss is suitable for leveraged trading. Lastly, the strategy can trigger take profit orders if certain conditions are met, adjustable in settings. Also, it can hold onto winning trades and exit only after stop out (in which case, consecutive triggers to take other positions will be ignored until stop out). Let me know if you like it and if you use it, what kind of tweaks would you like to see. With kind regards, easy-peasy-x

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easy-peasy-x의

$ADD Levels This Pine Script is designed to track and visualize the NYSE Advance-Decline Line (ADD). The Advance-Decline Line is a popular market breadth indicator, showing the difference between advancing and declining stocks on the NYSE. It’s often used to gauge overall market sentiment and strength. 1. //@version=5 This line tells TradingView to use Pine Script v5, the latest and most powerful version of Pine. 2. indicator(" USI:ADD Levels", overlay=false) • This creates a new indicator called ” USI:ADD Levels”. • overlay=false means it will appear in a separate pane, not on the main price chart. 3. add = request.security(...) This fetches real-time data from the symbol USI:ADD (Advance-Decline Line) using a 1-minute timeframe. You can change the timeframe if needed. add_symbol = input.symbol(" USI:ADD ", "Market Breadth Symbol") add = request.security(add_symbol, "1", close) 4. Key Thresholds These define the market sentiment zones: Zone. Value. Meaning Overbought +1500 Extremely bullish Bullish +1000 Generally bullish trend Neutral ±500 Choppy, unclear market Bearish -1000 Generally bearish trend Oversold -1500 Extremely bearish 5. Plot the ADD Line hline(...) Draws static lines at +1500, +1000, +500, -500, -1000, -1500 for reference so you can visually assess where ADD stands. 6. Horizontal Threshold Lines bgcolor(...) • Green background if ADD > +1500 → extremely bullish. • Red background if ADD < -1500 → extremely bearish. 7. Background Highlights alertcondition(...) • Green background if ADD > +1500 → extremely bullish. • Red background if ADD < -1500 → extremely bearish. 8. Alert Conditions. alertcondition(...) Lets you create automatic alerts for: • USI:ADD being very high or low. • Crosses above +1000 (bullish trigger). • Crosses below -1000 (bearish trigger). You can use these to trigger trades or monitor sentiment shifts. Summary: When to Use It • Use this script in a market breadth dashboard. • Combine it with price action and volume analysis. • Monitor for ADD crosses to signal potential market reversals or momentum.

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TICK Extreme Levels & Alerts Automatically draws horizontal lines at +1000 and -1000 TICK levels Sends alerts when TICK crosses those levels (for potential scalping/reversal setups) Strategy: How to Use TICK in Real-Time Trading 1. Confirm Market Breadth Use TICK to confirm broad participation in the move: • Long S&P futures or SPY? Only buy breakouts if TICK is above +600 to +1000 • Shorting? Confirm with TICK below –600 to –1000 2. Fade Extremes for Scalps Look for reversals at extreme levels: • Fade +1200+: market likely overbought short term → scalp short • Fade –1200–: market likely oversold → scalp long Use in combo with other signals (like price exhaustion, candlestick reversal, or VWAP touches) 3. Avoid Trading in the Choppy Zone If TICK remains between –400 and +400, institutions are not committed. This is where fakeouts are common. 4. Time Entries with TICK Swings For example: • TICK moves from –800 to +600 = momentum shift → look for long entries • TICK stalling around +1000 = momentum climax → partial profit or fade play

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Economic Crises by @zeusbottrading Economic Crises Indicator by @zeusbottrading Description and Use Case Overview The Economic Crises Highlight Indicator is designed to visually mark major economic crises on a TradingView chart by shading these periods in red. It provides a historical context for financial analysis by indicating when major recessions occurred, helping traders and analysts assess the performance of assets before, during, and after these crises. What This Indicator Shows This indicator highlights the following major economic crises (from 1953 to 2020), which significantly impacted global markets: • 1953 Korean War Recession • 1957 Monetary Tightening Recession • 1960 Investment Decline Recession • 1969 Employment Crisis • 1973 Oil Crisis • 1980 Inflation Crisis • 1981 Fed Monetary Policy Recession • 1990 Oil Crisis and Gulf War Recession • 2001 Dot-Com Bubble Crash • 2008 Global Financial Crisis (Great Recession) • 2020 COVID-19 Recession Each of these periods is shaded in red with 80% transparency, allowing you to clearly see the impact of economic downturns on various financial assets. How This Indicator is Useful This indicator is particularly valuable for: ✅ Comparative Performance Analysis – It allows traders and investors to compare how different assets (e.g., Gold, Silver, S&P 500, Bitcoin) performed before, during, and after major economic crises. ✅ Identifying Market Trends – Helps recognize recurring patterns in asset price movements during times of financial distress. ✅ Risk Management & Strategy Development – Understanding how markets reacted in the past can assist in making better-informed investment decisions for future downturns. ✅ Gold, Silver & Bitcoin as Safe Havens – Comparing precious metals and cryptocurrencies against traditional stocks (e.g., SPY) to analyze their performance as hedges during economic turmoil. How to Use It in Your Analysis By overlaying this indicator on your Gold, Silver, SPY, and Bitcoin chart (for example), you can quickly spot historical market reactions and use that insight to predict possible behaviors in future downturns. ⸻ How to Apply This in TradingView? 1. Click on Use on chart under the image. 2. Overlay it with Gold ( OANDA:XAUUSD ), Silver ( OANDA:XAGUSD ), SPY ( AMEX:SPY ), and Bitcoin ( COINBASE:BTCUSD ) for comparative analysis. ⸻ Conclusion This indicator serves as a powerful historical reference for traders analyzing asset performance during economic downturns. By studying past crises, you can develop a data-driven investment strategy and improve your market insights. 🚀📈 Let me know if you need any modifications or enhancements!

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zeusbottrading의

Multi-Ticker RS vs SPY This Pine Script, titled "Multi-Ticker RS vs SPY," is a clean and efficient indicator designed for TradingView, enabling traders to monitor the relative strength (RS) of up to 10 ticker symbols compared to the S&P 500 ETF (SPY) on a single chart. Ideal for options traders, such as those managing a $1,400 account, it provides a simple way to assess which stocks are outperforming or underperforming the broader market. As of February 26, 2025, the script supports any chart timeframe, such as 5-minute or daily intervals, and calculates RS based on a user-defined lookback period, defaulting to 1 bar for real-time insights. Users can input ticker symbols via customizable settings, with defaults set to popular stocks like AAPL, TSLA, NVDA, GOOGL, AMZN, MSFT, FB, NFLX, INTC, and PYPL. The script fetches closing prices for each ticker and SPY, computes their percentage changes over the lookback period, and determines RS as the ratio of each ticker’s change to SPY’s change, handling division by zero gracefully. It displays each ticker’s current RS score in a vertical column of labels on the chart’s top-left corner, updated on the last bar to avoid clutter. Users can adjust label size (tiny, small, normal, large) and text color for visibility, ensuring a tailored, error-free experience for quick market analysis.

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IBS (Internal Bar Strength) Trading Strategy for SPY and NDQ Implementation by AlgoTradeKit Overview The IBS Trading Strategy is a daily bars long-only trading system, based on the concept of Internal Bar Strength (IBS). The strategy aims to identify potential reversals by monitoring how the previous bar’s close positions itself within its high-low range. It is suitable for stock and US indices. The default parameters are optimized for SPY/SPX and NDQ/QQQ Strategy Concept The Internal Bar Strength (IBS) is calculated using the formula: IBS = (Previous Close - Previous Low) / (Previous High - Previous Low) This value always lies between 0 and 1. An IBS value below 0.2 is typically interpreted as an oversold condition, while a value above 0.9 suggests an overbought state. Trading Rules - Long Entry : - Condition 1 : IBS is below the user-defined entry threshold (default is 0.2). - Condition 2 : The current price is above an N-period Exponential Moving Average (EMA) (default period is 252). - Note : You can disable the EMA condition by setting the EMA period to 0. - Long Exit - The position is closed when IBS rises above the user-defined exit threshold (default is 0.9). Customization Options - IBS Entry Threshold : Adjust to set the sensitivity for entering a long trade based on oversold conditions. - IBS Exit Threshold : Customize to define the exit point when the market becomes overbought. - EMA Period : Set the lookback period for the EMA to align with your trend bias; disable this condition by setting the period to 0. Risk Management & Trading Considerations - Designed for daily charts, the strategy captures higher timeframe trends and minimizes noise. - The entry and exit conditions are straightforward, aiming to avoid over-trading while letting clear signals dictate trade management. - Always use proper risk management techniques and test the strategy thoroughly on historical data and in a simulated environment before applying it in live markets. Disclaimer This strategy is for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct your own research and consider your risk tolerance before making any trades.

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Algotradekit의

[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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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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SPY/TLT Strategy █ STRATEGY OVERVIEW The "SPY/TLT Strategy" is a trend-following crossover strategy designed to trade the relationship between TLT and its Simple Moving Average (SMA). The default configuration uses TLT (iShares 20+ Year Treasury Bond ETF) with a 20-period SMA, entering long positions on bullish crossovers and exiting on bearish crossunders. **This strategy is NOT optimized and performs best in trending markets.** █ KEY FEATURES SMA Crossover System: Uses price/SMA relationship for signal generation (Default: 20-period) Dynamic Time Window: Configurable backtesting period (Default: 2014-2099) Equity-Based Position Sizing: Default 100% equity allocation per trade Real-Time Visual Feedback: Price/SMA plot with trend-state background coloring Event-Driven Execution: Processes orders at bar close for accurate backtesting █ SIGNAL GENERATION 1. LONG ENTRY CONDITION TLT closing price crosses ABOVE SMA Occurs within specified time window Generates market order at next bar open 2. EXIT CONDITION TLT closing price crosses BELOW SMA Closes all open positions immediately █ ADDITIONAL SETTINGS SMA Period: Simple Moving Average length (Default: 20) Start Time and End Time: The time window for trade execution (Default: 1 Jan 2014 - 1 Jan 2099) Security Symbol: Ticker for analysis (Default: TLT) █ PERFORMANCE OVERVIEW Ideal Market Conditions: Strong trending environments Potential Drawbacks: Whipsaws in range-bound markets Backtesting results should be analyzed to optimize the MA Period and EMA Filter settings for specific instruments

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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 Bars Above/Below EMA Buy the Dip Strategy █ STRATEGY DESCRIPTION The "Consecutive Bars Above/Below EMA Buy the Dip Strategy" is a mean-reversion strategy designed to identify potential buying opportunities when the price dips below a moving average for a specified number of consecutive bars. It enters a long position when the dip condition is 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 MOVING AVERAGE? The strategy uses either a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) as a reference for identifying dips. The type and length of the moving average can be customized in the settings. █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The close price is below the selected moving average for a specified number of consecutive bars (`consecutiveBarsTreshold`). 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 Consecutive Bars Threshold: The number of consecutive bars the price must remain below the moving average to trigger a Buy Signal. Default is 3. MA Type: The type of moving average used (SMA or EMA). Default is SMA. MA Length: The length of the moving average. Default is 5. 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 the moving average. It is sensitive to the number of consecutive bars below the moving average, which helps to identify potential dips. Backtesting results should be analysed to optimize the Consecutive Bars Threshold, MA Type, and MA Length for specific instruments.

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Turn around Tuesday on Steroids Strategy █ STRATEGY DESCRIPTION The "Turn around Tuesday on Steroids Strategy" is a mean-reversion strategy designed to identify potential price reversals at the start of the trading week. 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 optimized for ETFs, stocks, and other instruments on the daily timeframe. █ WHAT IS THE STARTING DAY? The Starting Day determines the first day of the trading week for the strategy. It can be set to either Sunday or Monday, depending on the instrument being traded. For ETFs and stocks, Monday is recommended. For other instruments, Sunday is recommended. █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The current day is the first day of the trading week (either Sunday or Monday, depending on the Starting Day setting). 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`). If the MA Filter is enabled, the close price must also be above the 200-period Simple Moving Average (SMA). 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 Starting Day: Determines the first day of the trading week. Options are Sunday or Monday. Default is Sunday. Use MA Filter: Enables or disables the 200-period SMA 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 markets with frequent weekly reversals. It performs best in volatile conditions where price movements are significant at the start of the trading week. Backtesting results should be analysed to optimize the Starting Day and MA Filter settings 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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Adaptive Trend Flow Strategy with Filters for SPX The Adaptive Trend Flow Strategy with Filters for SPX is a complete trading algorithm designed to identify traits and offer actionable alerts for the SPX index. This Pine Script approach leverages superior technical signs and user-described parameters to evolve to marketplace conditions and optimize performance. Key Features and Functionality Dynamic Trend Detection: Utilizes a dual EMA-based totally adaptive method for fashion calculation. The script smooths volatility the usage of an EMA filter and adjusts sensitivity through the sensitivity enter. This allows for real-time adaptability to market fluctuations. Trend Filters for Precision: SMA Filter: A Simple Moving Average (SMA) guarantees that trades are achieved best while the rate aligns with the shifting average trend, minimizing false indicators. MACD Filter: The Moving Average Convergence Divergence (MACD) adds some other layer of confirmation with the aid of requiring alignment among the MACD line and its sign line. Signal Generation: Long Signals: Triggered when the fashion transitions from bearish to bullish, with all filters confirming the pass. Short Signals: Triggered while the trend shifts from bullish to bearish, imparting opportunities for final positions. User Customization: Adjustable parameters for EMAs, smoothing duration, and sensitivity make certain the strategy can adapt to numerous buying and selling patterns. Enable or disable filters (SMA or MACD) based totally on particular market conditions or consumer possibilities. Leverage and Position Sizing: Incorporates a leverage aspect for dynamic position sizing. Automatically calculates the exchange length based on account fairness and the leverage element, making sure hazard control is in area. Visual Enhancements: Plots adaptive fashion ranges (foundation, top, decrease) for actual-time insights into marketplace conditions. Color-coded bars and heritage to visually represent bullish or bearish developments. Custom labels indicating crossover and crossunder occasions for clean sign visualization. Alerts and Automation: Configurable alerts for each lengthy and quick indicators, well matched with automated buying and selling structures like plugpine.Com. JSON-based alert messages consist of account credentials, motion type, and calculated position length for seamless integration. Backtesting and Realistic Assumptions: Includes practical slippage, commissions, and preliminary capital settings for backtesting accuracy. Leverages excessive-frequency trade sampling to make certain strong strategy assessment. How It Works Trend Calculation: The method derives a principal trend basis with the aid of combining fast and gradual EMAs. It then uses marketplace volatility to calculate adaptive upper and decrease obstacles, creating a dynamic channel. Filter Integration: SMA and MACD filters work in tandem with the fashion calculation to ensure that handiest excessive-probability signals are accomplished. Signal Execution: Signals are generated whilst the charge breaches those dynamic tiers and aligns with the fashion and filters, ensuring sturdy change access situations. How to Use Setup: Apply the approach to SPX or other well suited indices. Adjust person inputs, together with ATR length, EMA smoothing, and sensitivity, to align together with your buying and selling possibilities. Enable or disable the SMA and MACD filters to test unique setups. Alerts: Configure signals for computerized notifications or direct buying and selling execution through third-celebration systems. Use the supplied JSON payload to integrate with broking APIs or automation tools. Optimization: Experiment with leverage, filter out settings, and sensitivity to find most effective configurations to your hazard tolerance and marketplace situations. Considerations and Best Practices Risk Management: Always backtest the method with realistic parameters, together with conservative leverage and commissions. Market Suitability: While designed for SPX, this method can adapt to other gadgets by means of adjusting key parameters. Limitations: The method is trend-following and can underperform in enormously risky or ranging markets. Regularly evaluate and modify parameters primarily based on recent market conduct. If you have any questions please let me know - I'm here to help!

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PineIndicators의

S&P 500 E-Mini Tracker This script generates a reference price for the S&P 500 ETF - SPY based on the current price of the ES contract, which is an E-Mini Futures contract representing the S&P 500 index. The indicator plots this reference price on the chart, providing a unique view of the relationship between these two popular markets. Advantages: Identifies divergence between the ES and SPY prices, indicating potential trading opportunities or shifts in market sentiment. Confirms trends by showing the correlation between the ES and SPY prices. Eliminates the need for multiple charts, allowing traders to focus on a single screen and make more informed decisions. Customizable Parameters: Color Scheme: Choose from various color options to customize the appearance of the indicator. Line Style: Select from different line styles to change the visual representation of the reference price. Divisor: Set the dividing factor to adjust the ratio at which the reference price is calculated. (Default value: 10). It is recommended to keep it at 10 for SPY. To use it with other Stocks/ ETFs, use simple ratio math to calculate the divisor and you can customize the indicator to scale accordingly. By using this indicator, traders can gain a deeper understanding of the relationship between the E-Mini and SPY markets, making it easier to identify trading opportunities and confirm trends.

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SnowflakeTrader의