Commencez

Recherche dans les scripts pour "reversal"

MR.Z Stoch RSI %K Reversal Signals🟢 K Strategy Description The K Strategy is a momentum-based trading technique using the %K line from the Stochastic Oscillator. It is designed to detect potential reversal points in price trends by identifying extreme conditions of overbought and oversold levels. ✅ Core Logic: The strategy monitors the %K line (a smoothed form of RSI momentum). A Buy Signal is triggered when: The %K line dips to or below a defined lower threshold (commonly 30 or less). This suggests the asset is oversold and may soon reverse upward. A Sell Signal is triggered when: The %K line peaks above an upper threshold (commonly 70 or more). This suggests the asset is overbought and may reverse downward. ⚙️ Adjustable Parameters: K Length: The sensitivity of the %K calculation (affects how fast it responds). Buy Level: Set your oversold trigger (e.g., 20–40). Sell Level: Set your overbought trigger (e.g., 60–100). Signal Smoothing (optional): Helps reduce noise and avoid false triggers. 📈 Use Case: This strategy is effective in ranging markets where prices frequently oscillate. It can also be used with other indicators (like EMA, volume filters, or price action confirmation) to increase accuracy in trending conditions.
Indicateur Pine Script®
par grigory84
MR.Z Strategy Reversal Signal Nadaraya SMA)Nadaraya-Watson Envelope (NW Envelope): A smoothed, non-linear dynamic envelope that adapts to price structure. It visually identifies price extremes using kernel regression. The upper and lower bands move with the chart and provide reliable dynamic support and resistance. EMA Levels: Includes three key exponential moving averages: EMA 50 (short-term trend) EMA 100 (medium-term) EMA 200 (long-term, institutional level) Fully Scrollable and Responsive: All lines and envelopes are plotted using plot() so they move with the chart and respond to zoom and pan actions naturally. 🧠 Ideal Use: Identify reversal zones, dynamic support/resistance, and trend momentum exhaustion. Combine WTB and NW Envelope for confluence-based entries. Use EMA structure for trend confirmation or breakout anticipation. Let me know if you'd like to add: Divergence detection Buy/Sell signals Alerts or signal filtering options I’ll be happy to extend the description or the script accordingly!
Indicateur Pine Script®
par grigory84
1
Quantum Reversal# 🧠 Quantum Reversal ## **Quantitative Mean Reversion Framework** This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**. --- ## ⚡ **Core Technical Architecture** ### 📊 **Statistical Foundation** - **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals - **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns - **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions ### 🔬 **Momentum Analysis Layer** - **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45 - **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals - **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings ### ⚙️ **Entry Logic Architecture** ``` Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45) ``` - **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry - **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity - **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure ### 🎯 **Exit Strategy Optimization** - **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L - **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion - **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels --- ## 📈 **Statistical Properties** ### **Risk Management Framework** - **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets - **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves - **Position Management**: Single position limit prevents over-leveraging ### **Signal Processing Characteristics** - **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations - **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility - **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment --- ## 🔧 **Parameter Configuration** | Technical Parameter | Value | Statistical Significance | |-------------------|-------|-------------------------| | Bollinger Period | 20 | Standard statistical lookback for volatility calculation | | Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) | | RSI Period | 14 | Traditional momentum oscillator period | | RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics | | Smoothing Period | 5 | Noise reduction filter for momentum signals | --- ## 📊 **Algorithmic Advantages** ✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets ✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions ✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives ✅ **Momentum Integration**: RSI smoothing improves signal quality and timing ✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias --- ## 🔬 **Mathematical Foundation** The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal. **Statistical Basis:** - Mean reversion follows the principle that extreme price deviations from the moving average are temporary - The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution - RSI momentum smoothing reduces noise inherent in oscillator calculations --- ## ⚠️ **Risk Considerations** This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential. --- ## 🎯 **Implementation Notes** - **Market Regime Awareness**: Most effective in ranging/consolidating markets - **Volatility Sensitivity**: Performance may vary during extreme volatility events - **Backtesting Recommended**: Historical performance analysis advised before live implementation - **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach --- **Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
Stratégie Pine Script®
par ArganaBridgeCapital
7
BBS – Bond Breadth Signal"When bonds scream, breadth collapses, and fear spikes — BBS listens." 🧠 BBS – Bond Breadth Signal A reversal timing tool built on macro conviction, not price noise. The Bond Breadth Signal (BBS) was developed to identify major market inflection points by combining four key market stress indicators: 1) 10-Year Yield ROC – Measures sharp moves in the bond market 2) Z-Score of the 10Y – Captures statistical extremes 3) NSHF (Net Highs–Lows) – Signals internal market strength or weakness 4) TLT ROC + VIX – Confirmations of flight to safety and volatility-driven fear When all conditions align, BBS marks either a For-Sure Buy or For-Sure Sell — these are rare, high-confidence signals designed to cut through noise and focus on true market dislocations. 🔧 Features: -Background color and signal arrows on confirmation days -Signals remain visually active for 3 days for added clarity -Fully adjustable thresholds and alert toggles -Plot panel for yield, TLT, NSHF, VIX, and Z-score visuals This tool isn’t designed to fire every day. It’s meant to wait for those moments when the market truly bends — not just wiggles. Best used on major indices (SPY, QQQ, IWM) to assess macro turning points.
Indicateur Pine Script®
par Scatman_Jeff
Market Structure Confluence [AlgoAlpha]OVERVIEW This script is called "Market Structure Confluence" and it combines classic market structure analysis with a dynamic volatility-based band system to detect shifts in trend and momentum more reliably. It tracks key swing points (higher highs, higher lows, lower highs, lower lows) to define the trend, then overlays a basis and ATR-smoothed volatility bands to catch rejection signals and highlight potential inflection points in the market. CONCEPTS Market structure is the foundation of price action trading, focusing on the relationship between successive highs and lows to understand trend conditions. Break of Structure (BOS) and Change of Character (CHoCH) events are important because they signal when a market might be shifting direction. This script enhances traditional structure by integrating volatility bands, which act like dynamic support/resistance zones based on ATR, allowing it to capture momentum surges and rejections beyond just structural shifts. FEATURES Swing Detection: It detects and labels Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) based on user-defined time horizons, helping traders quickly spot the trend direction. BOS and CHoCH Lines: When a previous swing point is broken, the script automatically plots a Break of Structure (BOS) line. If the break represents a major trend reversal (a CHoCH), it is marked differently to separate simple breakouts from real trend changes. Rejection Signals: Special arrows plot when price pierces a band and then pulls back, suggesting a potential trap move or rejection signal in the direction of the new structure. Alerts: Built-in alerts for structure breaks, CHoCHs, swing points, rejections at bands, and trend flips make it easy to automate setups without manually watching the chart. USAGE Set your preferred swing detection size depending on your timeframe and trading style — smaller numbers for intraday, larger numbers for swing trading. Choose whether you want BOS/CHoCH confirmed by candle closes or by wick breaks. Use the volatility band settings to fine-tune how tightly or loosely the bands hug the price, adjusting sensitivity based on market conditions. When a BOS or CHoCH occurs, or when a rejection happens at the bands, the script will highlight it clearly and optionally trigger alerts. Watch for combinations where both structure breaks and volatility band rejections happen together — those are high-quality trade signals. This setup works best when used with basic trend filtering and higher timeframe confirmation.
Indicateur Pine Script®
par AlgoAlpha
13
Sweep Reversal 5M PRO – by [TuNombre]🔹 **Sweep Reversal 5M PRO – by ** 🔹 This indicator is built to detect high-probability *Institutional Sweeps* using Swing Failure Patterns (SFP), fully filtered with Smart Money Concepts (SMC) logic and volume confirmation. ✅ Identifies key liquidity grabs ✅ Confirms with strong impulse candle + increasing volume ✅ Filters out false signals (doji, weak zones, low volume) ✅ Optimized for the 5-minute timeframe (5M) ✅ Compatible with push alerts to your mobile --- **How to use it:** 1. Wait for a “BUY” or “SELL” signal on the chart 2. Only enter if the next candle confirms with momentum 3. Place a tight stop just beyond the sweep 4. Recommended Take Profit: 1:1 minimum / 2:1 ideal --- 💡 Inspired by institutional trading (SMC, ICT-style setups) 🔒 Developed by – private or team-based use 📲 Activate alerts to get real-time trade opportunities on your phone --- ⚠️ This script does not repaint. Built for serious traders who want precision, not noise.
Indicateur Pine Script®
par david_garcia01
2
DAMA OSC - Directional Adaptive MA OscillatorOverview: The DAMA OSC (Directional Adaptive MA Oscillator) is a highly customizable and versatile oscillator that analyzes the delta between two moving averages of your choice. It detects trend progression, regressions, rebound signals, MA cross and critical zone crossovers to provide highly contextual trading information. Designed for trend-following, reversal timing, and volatility filtering, DAMA OSC adapts to market conditions and highlights actionable signals in real-time. Features: Support for 11 custom moving average types (EMA, DEMA, TEMA, ALMA, KAMA, etc.) Customizable fast & slow MA periods and types Histogram based on percentage delta between fast and slow MA Trend direction coloring with “Green”, “Blue”, and “Red” zones Rebound detection using close or shadow logic Configurable thresholds: Overbought, Oversold, Underbought, Undersold Optional filters: rebound validation by candle color or flat-zone filter Full visual overlay: MA lines, crossover markers, rebound icons Complete alert system with 16 preconfigured conditions How It Works: Histogram Logic: The histogram measures the percentage difference between the fast and slow MA: hist_value = ((FastMA - SlowMA) / SlowMA) * 100 Trend State Logic (Green / Blue / Red): Green_Up = Bullish acceleration Blue_Up (or Red_Up, depending the display settings) = Bullish deceleration Blue_Down (or Green_Down, depending the display settings) = Bearish deceleration Red_Down = Bearish acceleration Rebound Logic: A rebound is detected when price: Crosses back over a selected MA (fast or slow) After being away for X candles (rebound_backstep) Optional: filtered by histogram zones or candle color Inputs: Display Options: Show/hide MA lines Show/hide MA crosses Show/hide price rebounds Enable/disable blue deceleration zones DAMA Settings: Fast/Slow MA type and length Source input (close by default) Overbought/Oversold levels Underbought/Undersold levels Rebound Settings: Use Close and/or Shadow Rebound MA (Fast/Slow) Candle color validation Flat zone filter rebounds (between UnderSold and UnderBought) Available MA type: SMA (Simple MA) EMA (Exponential MA) DEMA (Double EMA) TEMA (Triple EMA) WMA (Weighted MA) HMA (Hull MA) VWMA (Volume Weighted MA) Kijun (Ichimoku Baseline) ALMA (Arnaud Legoux MA) KAMA (Kaufman Adaptive MA) HULLMOD (Modified Hull MA, Same as HMA, tweaked for Pine v6 constraints) Notes: **DEMA/TEMA** reduce lag compared to EMA, useful for faster reaction in trending markets. **KAMA/ALMA** are better suited to noisy or volatile environments (e.g., BTC). **VWMA** reacts strongly to volume spikes. **HMA/HULLMOD** are great for visual clarity in fast moves. Alerts Included (Fully Configurable): Golden Cross: Fast MA crosses above Slow MA Death Cross: Fast MA crosses below Slow MA Bullish Rebound: Rebound from below MA in uptrend Bearish Rebound: Rebound from above MA in downtrend Bull Progression: Transition into Green_Up with positive delta Bear Progression: Transition into Red_Down with negative delta Bull Regression: Exit from Red_Down into Blue/Green with negative delta Bear Regression: Exit from Green_Up into Blue/Red with positive delta Crossover Overbought: Histogram crosses above Overbought Crossunder Overbought: Histogram crosses below Overbought Crossover Oversold: Histogram crosses above Oversold Crossunder Oversold: Histogram crosses below Oversold Crossover Underbought: Histogram crosses above Underbought Crossunder Underbought: Histogram crosses below Underbought Crossover Undersold: Histogram crosses above Undersold Crossunder Undersold: Histogram crosses below Undersold Credits: Created by Eff_Hash. This code is shared with the TradingView community and full free. do not hesitate to share your best settings and usage.
Indicateur Pine Script®
par Eff_Hash
Abhi's Bollinger Band Reversal SignalThis Pine Script indicator is designed to detect reversal trade opportunities using Bollinger Band breakouts. It identifies both buy and sell setups with clearly defined entry, stop-loss (SL), and target (TP) conditions. It also manages trades visually with real-time signal plotting, and limits entries per trading day. ⚙️ How It Works 🔽 Sell Signal Conditions - The previous candle must close above the upper Bollinger Band, and its entire body must be above the band - The current candle must fail to break the previous high, and must break below the previous low - Entry is taken at the previous candle’s low, with SL at its high - Target is calculated based on a configurable Risk:Reward ratio 🔼 Buy Signal Conditions - The previous candle must close below the lower Bollinger Band, and its entire body must be below the band - The current candle must fail to break the previous low, and must break above the previous high - Entry is at the previous candle’s high, with SL at its low - Target is calculated using the same Risk:Reward ratio ⏰ Time-Based Exit - If a trade is still active by a user-defined exit time (e.g. 15:15), the trade is closed - Labels are plotted to show whether this exit was a profit or loss 🧩 User Inputs - Start Time for signals - Exit Time for open trades - Bollinger Band Settings: Period and Std Dev - Max Entries Per Day - Risk:Reward Ratio: Dropdown for 1:1, 1:1.5, ..., 1:3 🎨 Visual Features ✅ BUY and SELL signals are plotted when valid conditions are detected 🟢 TP and 🔴 SL labels show trade outcome 🕒 TIME EXIT labels appear at user-set exit time with green/red coloring based on profitability 📉 Bollinger Bands plotted for visual context 📌 Notes: - Designed for intraday trading, resets entry counter daily - Uses bar_index > tradeBarIndex to avoid SL/TP being triggered on the same candle as entry - Tracks only one trade at a time (tradeActive) — ensures clear, non-overlapping logic
Indicateur Pine Script®
par abhirb1
[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.
Stratégie Pine Script®
par Botnet101
[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.
Stratégie Pine Script®
par Botnet101
1
[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.
Stratégie Pine Script®
par Botnet101
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.
Stratégie Pine Script®
par Botnet101
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.
Stratégie Pine Script®
par Botnet101
Volumetric Volatility Breaker Blocks [UAlgo]The "Volumetric Volatility Breaker Blocks " indicator is designed for traders who want a comprehensive understanding of market volatility combined with volume analysis. This indicator provides a clear visualization of significant volatility areas (or blocks), characterized by price movements that exceed a specific volatility threshold, as calculated using the ATR (Average True Range). The concept is enhanced by integrating volume-based insights, offering a view of market activity that helps users to recognize when significant price changes are being supported by an appropriate level of market participation. The indicator calculates breaker blocks for both bullish and bearish market conditions, providing distinct visual elements that identify periods of high volatility and substantial volume divergence. The focus on both volume and volatility makes this tool versatile, allowing traders to assess the strength of price movements as well as areas where price might break above or below previously established levels. It supports adjustable parameters, such as volatility length, smoothness factor, and volume display, allowing traders to fine-tune the indicator according to their trading strategy and market environment. The highlighted breaker blocks assist in identifying zones of potential price reversal or continuation, which can be critical for making informed trading decisions. 🔶 Key Features Volatility-Based Block Identification: The indicator uses the Average True Range (ATR) to determine the volatility of the market. When the ATR exceeds a specified threshold (smooth ATR multiplied by a user-defined multiplier), it highlights these areas as volatility blocks. The idea is to mark periods where price activity is significantly divergent from normal conditions, which often signals market opportunities. Volume Integrated Analysis: In addition to tracking volatility, the indicator incorporates volume data, allowing traders to see the amount of activity that occurs during these high-volatility periods. This helps in identifying whether a price movement is likely sustainable or whether it lacks market support. User Adjustable Parameters: The indicator offers customization options for the volatility length (using ATR), smooth length, and multiplier for sensitivity adjustment. These settings enable users to modify the indicator’s responsiveness to market conditions. The option to display the last few volatility blocks allows traders to manage clutter on their charts and focus only on the most recent significant data. Mitigation Method: Users can select between different mitigation methods ("Close" or "Wick") to determine how blocks are broken. This adds an extra layer of adaptability, allowing traders to modify the indicator's response based on different price action strategies. Dynamic Visual Representation: The indicator dynamically draws boxes for volatility blocks and shades them according to market direction, with split areas showing the bullish and bearish strength contributions. It also provides percentage volume for each block, helping traders understand the relative market participation during these moves. 🔶 Interpreting the Indicator Identifying High Volatility Areas: When a new volatility block appears, it signifies that the market is experiencing higher-than-usual volatility, driven by increased ATR values. Traders should pay attention to these blocks, as they often indicate that a significant price move is occurring. Bullish blocks suggest upward pressure, whereas bearish blocks indicate downward pressure. Volume Insights: The volume associated with each volatility block provides an insight into how much market participation accompanies these moves. Higher volume within a block implies that the market is actively supporting the price change, which may be a sign of continuation. Low volume suggests that the movement may lack the strength to persist. Bullish vs. Bearish Strength Analysis: Each block is split into bullish and bearish strength, giving a clearer picture of what’s happening within the volatility period. If the bullish portion dominates, it indicates strong upward sentiment during that period. Conversely, if the bearish side is more prominent, there is more selling pressure. This breakdown helps in understanding intra-block market dynamics. Volume Percentage Display: The indicator also displays the volume percentage in each block, which provides context for the strength of the move relative to recent market activity. Higher percentages mean more market engagement, which could confirm the legitimacy of a trend or a significant breakout. 🔶 Disclaimer Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals. Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator. Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies. Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses. No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Indicateur Pine Script®
par UAlgo
1
RSI (Kernel Optimized) | Flux Charts💎 GENERAL OVERVIEW Introducing our new KDE Optimized RSI Indicator! This indicator adds a new aspect to the well-known RSI indicator, with the help of the KDE (Kernel Density Estimation) algorithm, estimates the probability of a candlestick will be a pivot or not. For more information about the process, please check the "HOW DOES IT WORK ?" section. Features of the new KDE Optimized RSI Indicator : A New Approach To Pivot Detection Customizable KDE Algorithm Realtime RSI & KDE Dashboard Alerts For Possible Pivots Customizable Visuals ❓ HOW TO INTERPRET THE KDE % The KDE % is a critical metric that reflects how closely the current RSI aligns with the KDE (Kernel Density Estimation) array. In simple terms, it represents the likelihood that the current candlestick is forming a pivot point based on historical data patterns. a low percentage suggests a lower probability of the current candlestick being a pivot point. In these cases, price action is less likely to reverse, and existing trends may continue. At moderate levels, the possibility of a pivot increases, indicating potential trend shifts or consolidations.Traders should start monitoring closely for confirmation signals. An even higher KDE % suggests a strong likelihood that the current candlestick could form a pivot point, which could lead to a reversal or significant price movement. These points often align with overbought or oversold conditions in traditional RSI analysis, making them key moments for potential trade entry or exit. 📌 HOW DOES IT WORK ? The RSI (Relative Strength Index) is a widely used oscillator among traders. It outputs a value between 0 - 100 and gives a glimpse about the current momentum of the price action. This indicator then calculates the RSI for each candlesticks, and saves them into an array if the candlestick is a pivot. The low & high pivot RSIs' are inserted into two different arrays. Then the a KDE array is calculated for both of the low & high pivot RSI arrays. Explaining the KDE might be too much for this write-up, but for a brief explanation, here are the steps : 1. Define the necessary options for the KDE function. These are : Bandwidth & Nº Steps, Array Range (Array Max - Array Min) 2. After that, create a density range array. The array has (steps * 2 - 1) elements and they are calculated by (arrMin + i * stepCount), i being the index. 3. Then, define a kernel function. This indicator has 3 different kernel distribution modes : Uniform, Gaussian and Sigmoid 4. Then, define a temporary value for the current element of KDE array. 5. For each element E in the pivot RSI array, add "kernel(densityRange.get(i) - E, 1.0 / bandwidth)" to the temporary value. 6. Add 1.0 / arrSize * to the KDE array. Then the prefix sum array of the KDE array is calculated. For each candlestick, the index closest to it's RSI value in the KDE array is found using binary search. Then for the low pivot KDE calculation, the sum of KDE values from found index to max index is calculated. For the high pivot KDE, the sum of 0 to found index is used. Then if high or low KDE value is greater than the activation threshold determined in the settings, a bearish or bullish arrow is plotted after bar confirmation respectively. The arrows are drawn as long as the KDE value of current candlestick is greater than the threshold. When the KDE value is out of the threshold, a less transparent arrow is drawn, indicating a possible pivot point. 🚩 UNIQUENESS This indicator combines RSI & KDE Algorithm to get a foresight of possible pivot points. Pivot points are important entry, confirmation and exit points for traders. But to their nature, they can be only detected after more candlesticks are rendered after them. The purpose of this indicator is to alert the traders of possible pivot points using KDE algorithm right away when they are confirmed. The indicator also has a dashboard for realtime view of the current RSI & Bullish or Bearish KDE value. You can fully customize the KDE algorithm and set up alerts for pivot detection. ⚙️ SETTINGS 1. RSI Settings RSI Length -> The amount of bars taken into account for RSI calculation. Source -> The source value for RSI calculation. 2. Pivots Pivot Lengths -> Pivot lengths for both high & low pivots. For example, if this value is set to 21; 21 bars before AND 21 bars after a candlestick must be higher for a candlestick to be a low pivot. 3. KDE Activation Threshold -> This setting determines the amount of arrows shown. Higher options will result in more arrows being rendered. Kernel -> The kernel function as explained in the upper section. Bandwidth -> The bandwidth variable as explained in the upper section. The smoothness of the KDE function is tied to this setting. Nº Bins -> The Nº Steps variable as explained in the upper section. It determines the precision of the KDE algorithm.
Indicateur Pine Script®
par fluxchart
31
Machine Learning Support and Resistance [AlgoAlpha]🚀 Elevate Your Trading with Machine Learning Dynamic Support and Resistance! The Machine Learning Dynamic Support and Resistance by AlgoAlpha leverages advanced machine learning techniques to identify dynamic support and resistance levels on your chart. This tool is designed to help traders spot key price levels where the market might reverse or stall, enhancing your trading strategy with precise, data-driven insights. Key Features: 🎯 Dynamic Levels: Continuously adjusts support and resistance levels based on real-time price data using a K-means clustering algorithm. 🧠 Machine Learning: Utilizes clustering methods to optimize the identification of significant price zones. ⏳ Configurable Lookback Periods: Customize the training length and confirmation length for better adaptability to different market conditions. 🎨 Visual Clarity: Clearly distinguish bullish and bearish zones with customizable color schemes. 📉 Trailing and Fixed Levels: Option to display both trailing and fixed support/resistance levels for comprehensive analysis. 🚮 Auto-Cleaning: Automatically removes outdated levels after a specified number of bars to keep your chart clean and relevant. Quick Guide to Using the Machine Learning Dynamic Support and Resistance Indicator Maximize your trading with this powerful indicator by following these streamlined steps! 🚀✨ 🛠 Add the Indicator: Add the indicator to favorites by pressing the star icon. Customize settings like clustering training length, confirmation length, and whether to show trailing or fixed levels to fit your trading style. 📊 Market Analysis: Monitor the dynamic levels to identify potential reversal points. Use these levels to inform entry and exit points, or to set stop losses. How It Works This indicator employs a K-means clustering algorithm to dynamically identify key price levels based on the historical price data within a specified lookback window. It starts by initializing three centroids based on the highest, lowest, and an average between the highest and lowest price over the lookback period. The algorithm then iterates through the price data to cluster the prices around these centroids, dynamically adjusting them until they stabilize, representing potential support and resistance levels. These levels are further confirmed based on a separate confirmation length parameter to identify "fixed" levels, which are then drawn as horizontal lines on the chart. The script continuously updates these levels as new data comes in, while also removing older levels to keep the chart clean and relevant, offering traders a clear and adaptive view of market structure.
Indicateur Pine Script®
par AlgoAlpha
12
Rising & Falling Window Signals [LuxAlgo]The Rising & Falling Window Signals indicator identifies Rising & Falling Window formations on the chart and manages them for use as support and resistance zones. The Rising and Falling Window methods used in this indicator are based on Steve Nison's techniques, emphasizing the importance of these areas to better identify continuation momentum and likely reversal points. Various filtering settings are included to identify zones of a specific width, as well as hide shorter zones from displaying on their chart, helping the users focus on the most significant zones. 🔶 USAGE A Window (Rising or Falling) forms when the candle wicks from 2 consecutive candlesticks do not overlap, causing a gap. This gap is considered as a strong market sentiment of upward or downward movement, allowing traders to anticipate the likely direction of future prices. The formation of a Rising Window is a typical indication that a bullish trend is likely to follow. The formation of a Falling Window is a typical indication that a bearish trend is likely to follow. After forming a window, we can interpret the zone as a likely area of support and resistance for the price to return to and react from. Generally, the extremities of the window are used as support and resistance levels, with opposite extremities being regarded as the strongest point of support/resistance. However, when the window is exceptionally wide, the mid-point is looked upon as the strongest point of support/resistance. Once the price closes beyond the window, the window is no longer seen as supportive. 🔶 DETAILS The script uses a fairly simple concept and implements it with familiar size and mitigation checks. From the settings of this script, the zones can be controlled based on user preferences. 🔹 Horizontal Zone Control Horizontal Control Settings manipulate the extension and zone display for each zone; however, these settings do not affect the identification of each zone. Maximum Live Zone Length: This determines the maximum duration of a zone. Zones will stop extending once the zone is mitigated, or if it has reached the maximum zone length determined by this setting. Minimum Inactive Zone Length: This will hide mitigated (inactive) zones that are shorter than this setting value, this is used to free up the chart from irrelevant zones. Extend Historical Zones on Touch: If a zone is unmitigated, but has stopped extending, it is considered a "historical" zone. If the price returns to a historical zone, this setting will cause it to extend to the current bar. 🔹 Vertical Zone Control Vertical Control Settings filter out windows that are wider or thinner than the desired width range. Each of these settings is specified as "ATR Multipliers". Minimum Width: Filters out any zones whose width is lower than ATR * Minimum Width. Maximum Width: Filters out any zones whose width is higher than ATR * Maximum Width. 🔹 Signal Types Signals are used to identify interactions with the Rising & Falling Window zones. The script has 3 different identification types to choose from: Note: These are all bullish (rising window) examples of each signal. Regular: The "regular" signal will fire when the price crosses above the upper extremity of an unmitigated zone. Engulfing: The "engulfing" signal will fire when a bullish engulfing candlestick pattern occurs while one or more of the candle's wicks are touching the zone. Wick: The "wick" signal will fire when the low of the candle is below the top of a zone, but the candle then closes above the top of the zone. 🔶 SETTINGS 🔹 Horizontal Zone Control Maximum Live Zone Length: Maximum duration of newly formed zones. Minimum Inactive Zone Length: Hides Zones whose length is lower than this setting. Extend Historical Zones on Touch: Extend historical unmitigated zones when the price reaches the zone to the current bar. 🔹 Vertical Zone Control Minimum Width: ATR multiplier used to filter out any zones whose width is lower than ATR * Minimum Width. Maximum Width: ATR multiplier used to filter out any zones whose width is higher than ATR * Maximum Width. Show Midlines: Determine if the zone midlines are displayed. 🔹 Signals Show Zone Tests: Determine if signals appearing on zone tests are displayed. Test Type: Sets the signal method for zone tests. Signal Size: Sets label size for displayed signals.
Indicateur Pine Script®
par LuxAlgo
14
Double CCI Confirmed Hull Moving Average Reversal StrategyOverview The Double CCI Confirmed Hull Moving Average Strategy utilizes hull moving average (HMA) in conjunction with two commodity channel index (CCI) indicators: the slow and fast to increase the probability of entering when the short and mid-term uptrend confirmed. The main idea is to wait until the price breaks the HMA while both CCI are showing that the uptrend has likely been already started. Moreover, strategy uses exponential moving average (EMA) to trail the price when it reaches the specific level. The strategy opens only long trades. Unique Features Dynamic stop-loss system: Instead of fixed stop-loss level strategy utilizes average true range (ATR) multiplied by user given number subtracted from the position entry price as a dynamic stop loss level. Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions. Double trade setup confirmation: Strategy utilizes two different period CCI indicators to confirm the breakouts of HMA. Trailing take profit level: After reaching the trailing profit activation level scrip activate the trailing of long trade using EMA. More information in methodology. Methodology The strategy opens long trade when the following price met the conditions: Short-term period CCI indicator shall be above 0. Long-term period CCI indicator shall be above 0. Price shall cross the HMA and candle close above it with the same candle When long trade is executed, strategy set the stop-loss level at the price ATR multiplied by user-given value below the entry price. This level is recalculated on every next candle close, adjusting to the current market volatility. At the same time strategy set up the trailing stop validation level. When the price crosses the level equals entry price plus ATR multiplied by user-given value script starts to trail the price with EMA. If price closes below EMA long trade is closed. When the trailing starts, script prints the label “Trailing Activated”. Strategy settings In the inputs window user can setup the following strategy settings: ATR Stop Loss (by default = 1.75) ATR Trailing Profit Activation Level (by default = 2.25) CCI Fast Length (by default = 25, used for calculation short term period CCI CCI Slow Length (by default = 50, used for calculation long term period CCI) Hull MA Length (by default = 34, period of HMA, which shall be broken to open trade) Trailing EMA Length (by default = 20) User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Before understanding why this particular combination of indicator has been chosen let's briefly explain what is CCI and HMA. The Commodity Channel Index (CCI) is a momentum-based technical indicator used in trading to measure a security's price relative to its average price over a given period. Developed by Donald Lambert in 1980, the CCI is primarily used to identify cyclical trends in a security, helping traders to spot potential buying or selling opportunities. The CCI formula is: CCI = (Typical Price − SMA) / (0.015 × Mean Deviation) Typical Price (TP): This is calculated as the average of the high, low, and closing prices for the period. Simple Moving Average (SMA): This is the average of the Typical Prices over a specific number of periods. Mean Deviation: This is the average of the absolute differences between the Typical Price and the SMA. The result is a value that typically fluctuates between +100 and -100, though it is not bounded and can go higher or lower depending on the price movement. The Hull Moving Average (HMA) is a type of moving average that was developed by Alan Hull to improve upon the traditional moving averages by reducing lag while maintaining smoothness. The goal of the HMA is to create an indicator that is both quick to respond to price changes and less prone to whipsaws (false signals). How the Hull Moving Average is Calculated? The Hull Moving Average is calculated using the following steps: Weighted Moving Average (WMA): The HMA starts by calculating the Weighted Moving Average (WMA) of the price data over a period square root of n (sqrt(n)) Speed Adjustment: A WMA is then calculated for half of the period n/2, and this is multiplied by 2 to give more weight to recent prices. Lag Reduction: The WMA of the full period n is subtracted from the doubled n/2 WMA. Final Smoothing: To smooth the result and reduce noise, a WMA is calculated for the square root of the period n. The formula can be represented as: HMA(n) = WMA(WMA(n/2) × 2 − WMA(n), sqrt(n)) The Weighted Moving Average (WMA) is a type of moving average that gives more weight to recent data points, making it more responsive to recent price changes than a Simple Moving Average (SMA). In a WMA, each data point within the selected period is multiplied by a weight, with the most recent data receiving the highest weight. The sum of these weighted values is then divided by the sum of the weights to produce the WMA. This strategy leverages HMA of user given period as a critical level which shall be broken to say that probability of trend change to the upside increased. HMA reacts faster than EMA or SMA to the price change, that’s why it increases chances to enter new trade earlier. Long-term period CCI helps to have an approximation of mid-term trend. If it’s above 0 the probability of uptrend increases. Short-period CCI allows to have an approximation of short-term trend reversal from down to uptrend. This approach increases chances to have a long trade setup in the direction of mid-term trend when the short-term trend starts to reverse. ATR is used to adjust the strategy risk management to the current market volatility. If volatility is low, we don’t need the large stop loss to understand the there is a high probability that we made a mistake opening the trade. User can setup the settings ATR Stop Loss and ATR Trailing Profit Activation Level to realize his own risk to reward preferences, but the unique feature of a strategy is that after reaching trailing profit activation level strategy is trying to follow the trend until it is likely to be finished instead of using fixed risk management settings. It allows sometimes to be involved in the large movements. It’s also important to make a note, that script uses HMA to enter the trade, but for trailing it leverages EMA. It’s used because EMA has no such fast reaction to price move which increases probability not to be stopped out from any significant uptrend move. Backtest Results Operating window: Date range of backtests is 2022.07.01 - 2024.08.01. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 100% Maximum Single Position Loss: -4.67% Maximum Single Profit: +19.66% Net Profit: +14897.94 USDT (+148.98%) Total Trades: 104 (36.54% win rate) Profit Factor: 2.312 Maximum Accumulated Loss: 1302.66 USDT (-9.58%) Average Profit per Trade: 143.25 USDT (+0.96%) Average Trade Duration: 34 hours These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 2h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Stratégie Pine Script®
par Skyrexio
Momentum & Squeeze Oscillator [UAlgo]The Momentum & Squeeze Oscillator is a technical analysis tool designed to help traders identify shifts in market momentum and potential squeeze conditions. This oscillator combines multiple timeframes and periods to provide a detailed view of market dynamics. It enhances the decision-making process for both short-term and long-term traders by visualizing momentum with customizable colors and alerts. 🔶 Key Features Custom Timeframe Selection: Allows users to select a custom timeframe for oscillator calculations, providing flexibility in analyzing different market periods. Recalculation Option: Enables or disables the recalculation of the indicator, offering more control over real-time data processing. Squeeze Background Visualization: Highlights potential squeeze conditions with a background color, helping traders quickly spot consolidation periods. Adjustable Squeeze Sensitivity: Users can modify the sensitivity of the squeeze detection, tailoring the indicator to their specific trading style and market conditions. Bar Coloring Condition: Option to color the price bars based on momentum conditions, enhancing the visual representation of market trends. Threshold Bands: Option to fill threshold bands for a clearer visualization of overbought and oversold levels. Reference Lines: Display reference lines for overbought, oversold, and mid-levels, aiding in quick assessment of momentum extremes. Multiple Output Modes: Offers different output visualization modes, including: ALL: Displays all calculated momentum values (fast, medium, slow). AVG: Shows the average momentum, providing a consolidated view. STD: Displays the standard deviation of momentum, useful for understanding volatility. Alerts: Configurable alerts for key momentum events such as crossovers and squeeze conditions, keeping traders informed of important market changes. 🔶 Usage The Momentum & Squeeze Oscillator can be used for various trading purposes: Trend Identification: Use the oscillator to determine the direction and strength of market trends. By analyzing the average, fast, medium, and slow momentum lines, traders can gain insights into short-term and long-term market movements. Squeeze Detection: The indicator highlights periods of low volatility (squeeze conditions) which often precede significant price movements. Traders can use this information to anticipate and prepare for potential breakouts. Overbought/Oversold Conditions: The oscillator helps identify overbought and oversold conditions, indicating potential reversal points. This is particularly useful for timing entry and exit points in the market. Momentum Shifts: By monitoring the crossover of momentum lines with key levels (e.g., the 50 level), traders can spot shifts in market momentum, allowing them to adjust their positions accordingly. 🔶 Disclaimer: Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals. Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator. Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies. Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses. No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Indicateur Pine Script®
par UAlgo
Wolfe Wave Detector [LuxAlgo]The Wolfe Wave Detector displays occurrences of Wolfe Waves, alongside a target line. A multiple swing detection approach is used to maximize the number of detected waves. The indicator includes a dashboard with the number of detected waves, as well as the number of reached targets. 🔶 USAGE The Wolfe Wave pattern is a chart pattern composed of five segments, with the initial segment extremities (points XABCD) forming a channel containing price variations. After the price reaches point D , we can expect a reversal toward a target line (point E ). The target line is obtained by connecting and extending point X -> C . The script draws the XABCD pattern and a projection of where E might potentially be located. The projection is derived from the intersection between the target line and a line starting from D , parallel to B-C . From this line, margins are added, left and right, creating a wedge-shaped figure in most cases. When the price passes the target line, this is highlighted by a dot. The dot and pattern are green by default when the target is above D and red when the target is below D . Colors can be edited in the settings. The dashed target line is colored in the opposite color. As seen in the above example, the price trend can reverse after reaching the target line. 🔹 Symmetry Ideally, the Wolfe Wave must have a degree of symmetry; every upward line should have a similar angle to the other upward lines, and the same should be true for the downward lines. Also, the lines forming the channel should be as parallel as possible. Users have the option to adjust the tolerance: Margin controls the wave symmetry of the pattern Angle controls the channel symmetry of the pattern It's important to note that in both cases, a lower number will lead to more symmetrical patterns, but they may appear less frequently. It is also important to note that increasing the Margin can delay validating the pattern. In the meantime, the price could surpass the channel in the opposite direction, invalidating and deleting the otherwise valid pattern. 🔹 Multiple Swings Users can set a Minimum Swing length (for example 2) and a Maximum Swing length (for example 100) which defines the range of the swing point detection length, higher values for these settings will detect longer-term Wolfe patterns, while a larger range will allow for the detection of a larger number of patterns. By using multiple swings, it is possible to find smaller next to larger patterns at the same time. The dashboard shows the number of patterns found and targets reached. When, for example, bullish patterns are disabled in the settings, the dashboard only shows the results of bearish patterns. 🔹 Extend Target Line The publication includes a setting that allows the Target Line to be extended up to 50 bars further. As seen in the above example, the Target Line can still be reached even after the pattern has been finalized. Once the Target Line is reached, it won't be updated further. Here is another example of a Target Line being reached later on. The Target Line acted as a support level, after which where the price changed direction. 🔹 Show Progression An option is included to show the progression before the pattern is completed. Users can make use of the XABC pattern or visualize where point D should be positioned. The focus lies on the bar range (between the left and right borders of the grey rectangle). The pattern is considered invalid and deleted when point D is beyond these limits. The height of the rectangle is optional. Ideally, the price should be located between the top and bottom of the rectangle, but it is not mandatory. Show Progression has three options including: Full: Show all lines of XABC plus line C-D and rectangle for the position of point D Partial: Show line C-D and rectangle for the position of point D None: Only show valid completed patterns The 'Partial' option in the 'Show Progression' feature is designed to help users locate the desired position of point D without the visual clutter caused by the XABC lines. This can be useful for those who prefer a cleaner visual representation of the evolving pattern. 🔶 SETTINGS 🔹 Swing Length Minimum: Minimum length used for the swing detection. Maximum Swing Length: Maximum length used for the swing detection. 🔹 Tolerance Margin: Influences the symmetry of the pattern; with a higher number allowing for less symmetry. Angle: Influences the symmetry of the channel; with a higher number allowing for less symmetry. 🔹 Style Toggle: Bullish/Bearish + colors Extend Target Line: Extend a maximum of 50 bars or until Target Line is reached Show Progression: Show pattern progression Dot Size: The size of the dot when the Target Line is reached 🔹 Dashboard Show Dashboard: Toggle dashboard which shows the number of found patterns and targets reached. Location: Location of the dashboard on the chart. Text Size: Text size. 🔹 Calculation Calculated Bars: Allows the usage of fewer bars for performance/speed improvement
Indicateur Pine Script®
par LuxAlgo
5
BINANCE-BYBIT Cross Chart: Spot-Perpetual CorrelationName: "Binance-Bybit Cross Chart: Spot-Perpetual Correlation" Category: Scalping, Trend Analysis Timeframe: 1M, 5M, 30M, 1D (depending on the specific technique) Technical analysis: This indicator facilitates a comparison between the price movements shown on the Binance spot chart and the Bybit perpetual chart, with the aim of discerning the correlation between the two charts and identifying the dominant market trends. It automatically generates the corresponding chart based on the ticker selected in the primary chart. When a Binance pair is selected in the main chart, the indicator replicates the Bybit perpetual chart for the same pair and timeframe, and vice versa, selecting the Bybit perpetual chart as the primary chart generates the Binance spot chart. Suggested use: You can utilize this tool to conduct altcoin trading on Binance or Bybit, facilitating the comparison of price actions and real-time monitoring of trigger point sensitivity across both exchanges. We recommend prioritizing the Binance Spot chart in the main panel due to its typically longer historical data availability compared to Bybit. The primary objective is to efficiently and automatically manage the following three aspects: - Data history analysis for higher timeframes, leveraging the extensive historical data of the Binance spot market. Variations in indicators such as slow moving averages may arise due to differences in historical data between exchanges. - Assessment of coin liquidity on both exchanges by observing candlestick consistency on smaller timeframes or the absence of gaps. In the crypto market, clean charts devoid of gaps indicate dominance and offer enhanced reliability. - Identification of precise trigger point levels, including daily, previous day, or previous week highs and lows, which serve as sensitive areas for breakout or reversal operations. All-Time High (ATH) and All-Time Low (ATL) levels may vary significantly across exchanges due to disparities in historical data series. This tool empowers traders to make informed decisions by leveraging historical data, liquidity insights, and precise trigger point identification across Binance Spot and Bybit Perpetual market. Configuration: EMA length: - EMA 1: Default 5, user configurable - EMA 2: Default 10, user configurable - EMA 3: Default 60, user configurable - EMA 4: Default 223, user configurable - Additional Average: Optional display of an additional average, such as a 20-period average. Chart Elements: - Session separator: Indicates the beginning of the current session (in blue) - Background: Indicates an uptrend (60 > 223) with a green background and a downtrend (60 < 223) with a red background. Instruments: - EMA Daily: Shows daily averages on an intraday timeframe. - EMA levels 1h - 30m: Shows the levels of the 1g-30m EMAs. - EMA Levels Highest TF: Provides the option to select additional EMA levels from the major timeframes, customizable via the drop-down menu. - "Hammer Detector: Marks hammers with a green triangle and inverted hammers with a red triangle on the chart - "Azzeramento" signal on TF > 30m: Indicates a small candlestick on the EMA after a dump. - "No Fomo" signal on TF < 30m: Indicates a hyperextended movement. Trigger Points: - Today's highs and lows: Shows the opening price of the day's candlestick, along with the day's highs and lows (high in purple, low in red, open in green). - Yesterday's highs and lows: Displays the opening price of the daily candlestick, along with the previous day's highs and lows (high in yellow, low in red). You can customize the colors in "Settings" > "Style". It is best used with the Scalping The Bull indicator on the main panel. Credits: @tumiza999: for tests and suggestions. Thanks for your attention, happy to support the TradingView community.
Indicateur Pine Script®
par TheSocialCryptoClub
S/R and Reversal BarsToday I'm proposing an idea to form S/R with a slightly different basic idea. This is a combination of CCI and candlestick study, and we will use this to mark possible reversal candles and possible S/R lines. This is nothing complicated, I've used a basic CCI indicator with certain rules/system to mark S/R levels on the chart. (Have loaded traditional CCI indicator on bottom for comparison) S/R levels are market as followed Cross - Lime = Support Red = Resistance Zero/Balance line - Yellow circles The idea is to use this indicator to trade sideways market more successfully, in trending market this can be futile if you are not waiting for the break-out or breakdowns with confirmation. Since this is based on CCI, it will give static result only when bar is closed, till then it will be susceptible for repaint. This is inherited nature from CCI readings on current bar. I could change this to only making reading on closed bar (historical bar), but that takes away from the uniqueness of this indicator in giving early indications. This is a great tool for intraday scalping, but it does work on all timeframes, it's not bound by granularity. This is for education purpose only. Past success or seemingly positive results on published posts are not indication of future success.
Indicateur Pine Script®
par Pratik_4Clover
4