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Compare - Oscillator vs BTC momentumI've made a simple indicator to compare the momentum of a trading pair against the momentum of BTC to the dollar. I use it to see how a pair is affected by BTC's momentum... I wouldnt use it to trade off alone, but it can be a useful tool alongside other indicators. The time range can be adjusted, but I wouldnt reccomend setting it to anything over 12M, or under 1W.... as I'm not sure if it would work. Any feedback is welcome! This is an idea I had after looking at a wonderful visualisation made by BarclayJames, link below: www.tradingview.com
Pine Script® indicator
by Biffy
4
VS Score [SpiritualHealer117]An experimental indicator that uses historical prices and readings of technical indicators to give the probability that stock and crypto prices will be in a certain range on the next close. This indicator may be helpful for options traders or for traders who want to see the probability of a move. It classifies returns into five categories: Extreme Rise - Over 2 standard deviations above normal returns Rise - Between 0.5 standard deviations and 2 standard deviations above normal returns Flat - Falling in the range of +/- 0.5 standard deviations of normal returns Fall - Between 0.5 standard deviations and 2 standard deviations below normal returns Extreme Fall - Over 2 standard deviations below normal returns It is an adaptive probability model, which trains on the previous 1000 data points, and is calculated by creating probability vectors for the current reading of the PPO, MA, volume histogram, and previous return, and combining them into one probability vector.
Pine Script® indicator
by Scalpalytics
3
Advanced Correlation Monitor📊 Advanced Correlation Monitor - Pine Script v6 🎯 What does this indicator do? Monitors real-time correlations between 13 different asset pairs and alerts you when historically strong correlations break, indicating potential trading opportunities or changes in market dynamics. 🚀 Key Features ✨ Multi-Market Monitoring 7 Forex Pairs (GBPUSD/DXY, EURUSD/GBPUSD, etc.) 6 Index/Stock Pairs (SPY/S&P500, DAX/NASDAQ, TSLA/NVDA, etc.) Fully configurable - change any pair from inputs 📈 Dual Correlation Analysis Long Period (90 bars): Identifies historically strong correlations Short Period (6 bars): Detects recent breakdowns Pearson Correlation using Pine Script v6 native functions 🎨 Intuitive Visualization Real-time table with 6 information columns Color coding: Green (correlated), Red (broken), Gray (normal) Visual states: 🟢 OK, 🔴 BROKEN, ⚫ NORMAL 🚨 Smart Alert System Only alerts previously correlated pairs (>80% historical) Detects breakdowns when short correlation <80% Consolidated alert with all affected pairs 🛠️ Flexible Configuration Adjustable Parameters: 📅 Periods: Long (30-500), Short (2-50) 🎯 Threshold: 50%-99% (default 80%) 🎨 Table: Configurable position and size 📊 Symbols: All pairs are configurable Default Pairs: FOREX: INDICES/STOCKS: - GBPUSD vs DXY • SPY vs S&P500 - EURUSD vs GBPUSD • DAX vs S&P500 - EURUSD vs DXY • DAX vs NASDAQ - USDCHF vs DXY • TSLA vs NVDA - GBPUSD vs USDCHF • MSFT vs NVDA - EURUSD vs USDCHF • AAPL vs NVDA - EURUSD vs EURCAD 💡 Practical Use Cases 🔄 Pairs Trading Detects when strong correlations break for: Statistical arbitrage Mean reversion trading Divergence opportunities 🛡️ Risk Management Identifies when "safe" assets start moving independently: Portfolio diversification Smart hedging Regime change detection 📊 Market Analysis Understand underlying market structure: Forex/DXY correlations Tech sector rotation Regional market disconnection 🎓 Results Interpretation Reading Example: EURUSD vs DXY: -98.57% → -98.27% | 🟢 OK └─ Perfect negative correlation maintained (EUR rises when DXY falls) TSLA vs NVDA: 78.12% → 0% | ⚫ NORMAL └─ Lost tech correlation (divergence opportunity) Trading Signals: 🟢 → 🔴: Broken correlation = Possible opportunity Large difference: Indicates correlation tension Multiple breaks: Market regime change
Pine Script® indicator
by didaz
Super EMA PrismThis script implements the Binary Trade Logic (BTL) algorithm to calculate two distinct scores that range from 0 to 7. One score is calculated assigning a power of 2 weight to the positive sign of 3 Phi^3 distant Moving Average (MA) slopes. The other score is calculated assigning a power of 2 weight to the sign of the difference between the price and the value of 3 Phi^3 distant Moving Average (MA). For the first score, hereafter called as the angle score (AS), the largest MA slope positive sign receives weight 4, the middle length MA slope positive sign receives weight 2 and the shortest MA slope positive sign receives weight 1. The positive sign of an MA is defined as 1 if the slope of the MA is positive and 0, otherwise. Therefore, for MAs 305, 72 and 17, if slope(MA305) > 0, slope(MA72) < 0 and slope(MA17) > 0, then score will be 4*1 + 2*0 + 1*1 = 5. Up to my knowledge, this score was first proposed by Bo Williams and named by him as Prisma. For the second score, hereafter called as the value score (VS), if the price > largest MA, it receives weight 4. If the price > the middle length MA, it receives weight 2 and if the price > the the shortest MA, it receives weight 1. Therefore, for MAs 305, 72 and 17, if price < MA305, price > MA72 and price > MA17, then score will be 4*0 + 2*1 + 1*1 = 3. Up to my knowledge, this score was first proposed by Bo Williams and named by him as Prisma. Both AS and VS are calculated for Phi^3 lengths (610, 144, 34) and for Phi^3/2 lengths (305, 72, 17). The scores of the same kind calculated for each set of length are combined multiplying the Phi^3 length score by 10 and adding with with the Phi^3/2 score, therefore providing a 2 digit score ranging from 0 to 77. For instance, if we have AS(610, 144, 34) = 7 and AS(305, 72, 17) = 5, we have AS=75. At the same time, if we have VS(610, 144, 34) = 6 and VS(305, 72, 17) = 4, we have VS=64. VS score is plotted by default in black, but it can be on white for dark themes. AS is plotted with the color of the longest MA used. Chart background is colored according to the range of values for AS and VS, checked in the following order: if AS >= 13 and VS <= 13 then back color = red if AS >= 13 or VS <= 13 then back color = orange if AS >= 64 and VS >= 64 then back color = green if AS >= 64 or VS >= 64 then back color = blue otherwise back color = none (white o black)
Pine Script® indicator
by luyikaibr
Up vs Down Volume Compared to PriceHi team, I’ve put together a simple TradingView indicator that breaks down the last N candles into up-moves and down-moves, showing how much volume supported each side. It helps you quickly see whether the market is rallying on strong participation or just drifting higher on weak volume. The tool tracks total up-volume versus down-volume, compares their ratios, and flags when pullbacks are happening with noticeably lower volume than the prior push up — a setup that often signals a healthy continuation rather than a reversal. It also shows key metrics like total volume, price change, and up/down ratios directly on the chart for quick assessment. You’ll instantly know if you’re looking at a light-volume pullback or a heavy-volume sell-off. Let’s test it out across a few symbols and discuss any tweaks we’d like — maybe layering an EMA or VWAP filter for cleaner trend confirmation.
Pine Script® indicator
by obaid78
Double Weighted Moving Average (DWMA)# DWMA: Double Weighted Moving Average ## Overview and Purpose The Double Weighted Moving Average (DWMA) is a technical indicator that applies weighted averaging twice in sequence to create a smoother signal with enhanced noise reduction. Developed in the late 1990s as an evolution of traditional weighted moving averages, the DWMA was created by quantitative analysts seeking enhanced smoothing without the excessive lag typically associated with longer period averages. By applying a weighted moving average calculation to the results of an initial weighted moving average, DWMA achieves more effective filtering while preserving important trend characteristics. ## Core Concepts * **Cascaded filtering:** DWMA applies weighted averaging twice in sequence for enhanced smoothing and superior noise reduction * **Linear weighting:** Uses progressively increasing weights for more recent data in both calculation passes * **Market application:** Particularly effective for trend following strategies where noise reduction is prioritized over rapid signal response * **Timeframe flexibility:** Works across multiple timeframes but particularly valuable on daily and weekly charts for identifying significant trends The core innovation of DWMA is its two-stage approach that creates more effective noise filtering while minimizing the additional lag typically associated with longer-period or higher-order filters. This sequential processing creates a more refined output that balances noise reduction and signal preservation better than simply increasing the length of a standard weighted moving average. ## Common Settings and Parameters | Parameter | Default | Function | When to Adjust | |-----------|---------|----------|---------------| | Length | 14 | Controls the lookback period for both WMA calculations | Increase for smoother signals in volatile markets, decrease for more responsiveness | | Source | close | Price data used for calculation | Consider using hlc3 for a more balanced price representation | **Pro Tip:** For trend following, use a length of 10-14 with DWMA instead of a single WMA with double the period - this provides better smoothing with less lag than simply increasing the period of a standard WMA. ## Calculation and Mathematical Foundation **Simplified explanation:** DWMA first calculates a weighted moving average where recent prices have more importance than older prices. Then, it applies the same weighted calculation again to the results of the first calculation, creating a smoother line that reduces market noise more effectively. **Technical formula:** ``` DWMA is calculated by applying WMA twice: 1. First WMA calculation: WMA₁ = (P₁ × w₁ + P₂ × w₂ + ... + Pₙ × wₙ) / (w₁ + w₂ + ... + wₙ) 2. Second WMA calculation applied to WMA₁: DWMA = (WMA₁₁ × w₁ + WMA₁₂ × w₂ + ... + WMA₁ₙ × wₙ) / (w₁ + w₂ + ... + wₙ) ``` Where: - Linear weights: most recent value has weight = n, second most recent has weight = n-1, etc. - n is the period length - Sum of weights = n(n+1)/2 **O(1) Optimization - Inline Dual WMA Architecture:** This implementation uses an advanced O(1) algorithm with two complete inline WMA calculations. Each WMA uses the dual running sums technique: 1. **First WMA (source → wma1)**: - Maintains buffer1, sum1, weighted_sum1 - Recurrence: `W₁_new = W₁_old - S₁_old + (n × P_new)` - Cached denominator norm1 after warmup 2. **Second WMA (wma1 → dwma)**: - Maintains buffer2, sum2, weighted_sum2 - Recurrence: `W₂_new = W₂_old - S₂_old + (n × WMA₁_new)` - Cached denominator norm2 after warmup **Implementation details:** - Both WMAs fully integrated inline (no helper functions) - Each maintains independent state: buffers, sums, counters, norms - Both warm up independently from bar 1 - Performance: ~16 operations per bar regardless of period (vs ~10,000 for naive O(n²) implementation) **Why inline architecture:** Unlike helper functions, the inline approach makes all state variables and calculations visible in a single scope, eliminating function call overhead and making the dual-pass nature explicit. This is ideal for educational purposes and when debugging complex cascaded filters. > 🔍 **Technical Note:** The dual-pass O(1) approach creates a filter that effectively increases smoothing without the quadratic increase in computational cost. Original O(n²) implementations required ~10,000 operations for period=100; this optimized version requires only ~16 operations, achieving a 625x speedup while maintaining exact mathematical equivalence. ## Interpretation Details DWMA can be used in various trading strategies: * **Trend identification:** The direction of DWMA indicates the prevailing trend * **Signal generation:** Crossovers between price and DWMA generate trade signals, though they occur later than with single WMA * **Support/resistance levels:** DWMA can act as dynamic support during uptrends and resistance during downtrends * **Trend strength assessment:** Distance between price and DWMA can indicate trend strength * **Noise filtering:** Using DWMA to filter noisy price data before applying other indicators ## Limitations and Considerations * **Market conditions:** Less effective in choppy, sideways markets where its lag becomes a disadvantage * **Lag factor:** More lag than single WMA due to double calculation process * **Initialization requirement:** Requires more data points for full calculation, showing more NA values at chart start * **Short-term trading:** May miss short-term trading opportunities due to increased smoothing * **Complementary tools:** Best used with momentum oscillators or volume indicators for confirmation ## References * Jurik, M. "Double Weighted Moving Averages: Theory and Applications in Algorithmic Trading Systems", Jurik Research Papers, 2004 * Ehlers, J.F. "Cycle Analytics for Traders," Wiley, 2013
Pine Script® indicator
by mihakralj
Weighted Moving Average (WMA)This implementation uses O(1) algorithm that eliminates the need to loop through all period values on each bar. It also generates valid WMA values from the first bar and is not returning NA when number of bars is less than period. ## Overview and Purpose The Weighted Moving Average (WMA) is a technical indicator that applies progressively increasing weights to more recent price data. Emerging in the early 1950s during the formative years of technical analysis, WMA gained significant adoption among professional traders through the 1970s as computational methods became more accessible. The approach was formalized in Robert Colby's 1988 "Encyclopedia of Technical Market Indicators," establishing it as a staple in technical analysis software. Unlike the Simple Moving Average (SMA) which gives equal weight to all prices, WMA assigns greater importance to recent prices, creating a more responsive indicator that reacts faster to price changes while still providing effective noise filtering. ## Core Concepts * **Linear weighting:** WMA applies progressively increasing weights to more recent price data, creating a recency bias that improves responsiveness * **Market application:** Particularly effective for identifying trend changes earlier than SMA while maintaining better noise filtering than faster-responding averages like EMA * **Timeframe flexibility:** Works effectively across all timeframes, with appropriate period adjustments for different trading horizons The core innovation of WMA is its linear weighting scheme, which strikes a balance between the equal-weight approach of SMA and the exponential decay of EMA. This creates an intuitive and effective compromise that prioritizes recent data while maintaining a finite lookback period, making it particularly valuable for traders seeking to reduce lag without excessive sensitivity to price fluctuations. ## Common Settings and Parameters | Parameter | Default | Function | When to Adjust | |-----------|---------|----------|---------------| | Length | 14 | Controls the lookback period | Increase for smoother signals in volatile markets, decrease for responsiveness | | Source | close | Price data used for calculation | Consider using hlc3 for a more balanced price representation | **Pro Tip:** For most trading applications, using a WMA with period N provides better responsiveness than an SMA with the same period, while generating fewer whipsaws than an EMA with comparable responsiveness. ## Calculation and Mathematical Foundation **Simplified explanation:** WMA calculates a weighted average of prices where the most recent price receives the highest weight, and each progressively older price receives one unit less weight. For example, in a 5-period WMA, the most recent price gets a weight of 5, the next most recent a weight of 4, and so on, with the oldest price getting a weight of 1. **Technical formula:** ``` WMA = (P₁ × w₁ + P₂ × w₂ + ... + Pₙ × wₙ) / (w₁ + w₂ + ... + wₙ) ``` Where: - Linear weights: most recent value has weight = n, second most recent has weight = n-1, etc. - The sum of weights for a period n is calculated as: n(n+1)/2 - For example, for a 5-period WMA, the sum of weights is 5(5+1)/2 = 15 **O(1) Optimization - Dual Running Sums:** The key insight is maintaining two running sums: 1. **Unweighted sum (S)**: Simple sum of all values in the window 2. **Weighted sum (W)**: Sum of all weighted values The recurrence relation for a full window is: ``` W_new = W_old - S_old + (n × P_new) ``` This works because when all weights decrement by 1 (as the window slides), it's mathematically equivalent to subtracting the entire unweighted sum. The implementation: - **During warmup**: Accumulates both sums as the window fills, computing denominator each bar - **After warmup**: Uses cached denominator (constant at n(n+1)/2), updates both sums in constant time - **Performance**: ~8 operations per bar regardless of period, vs ~100+ for naive O(n) implementation > 🔍 **Technical Note:** Unlike EMA which theoretically considers all historical data (with diminishing influence), WMA has a finite memory, completely dropping prices that fall outside its lookback window. This creates a cleaner break from outdated market conditions. The O(1) optimization achieves 12-25x speedup over naive implementations while maintaining exact mathematical equivalence. ## Interpretation Details WMA can be used in various trading strategies: * **Trend identification:** The direction of WMA indicates the prevailing trend with greater responsiveness than SMA * **Signal generation:** Crossovers between price and WMA generate trade signals earlier than with SMA * **Support/resistance levels:** WMA can act as dynamic support during uptrends and resistance during downtrends * **Moving average crossovers:** When a shorter-period WMA crosses above a longer-period WMA, it signals a potential uptrend (and vice versa) * **Trend strength assessment:** Distance between price and WMA can indicate trend strength ## Limitations and Considerations * **Market conditions:** Still suboptimal in highly volatile or sideways markets where enhanced responsiveness may generate false signals * **Lag factor:** While less than SMA, still introduces some lag in signal generation * **Abrupt window exit:** The oldest price suddenly drops out of calculation when leaving the window, potentially causing small jumps * **Step changes:** Linear weighting creates discrete steps in influence rather than a smooth decay * **Complementary tools:** Best used with volume indicators and momentum oscillators for confirmation ## References * Colby, Robert W. "The Encyclopedia of Technical Market Indicators." McGraw-Hill, 2002 * Murphy, John J. "Technical Analysis of the Financial Markets." New York Institute of Finance, 1999 * Kaufman, Perry J. "Trading Systems and Methods." Wiley, 2013
Pine Script® indicator
by mihakralj
Cross-Correlation Lead/Lag AnalyzerCross-Correlation Lead/Lag Analyzer (XCorr) Discover which instrument moves first with advanced cross-correlation analysis. This indicator analyzes the lead/lag relationship between any two financial instruments using rolling cross-correlation at multiple time offsets. Perfect for pairs trading, market timing, and understanding inter-market relationships. Key Features: Universal compatibility - Works with any two symbols (stocks, futures, forex, crypto, commodities) Multi-timeframe analysis - Automatically adjusts lag periods based on your chart timeframe Real-time correlation table - Shows current correlation values for all lag scenarios Visual lead/lag detection - Color-coded plots make it easy to spot which instrument leads Smart "Best" indicator - Automatically identifies the strongest relationship How to Use: Set your symbols in the indicator settings (default: NQ1! vs RTY1!) Adjust correlation length (default: 20 periods for smooth but responsive analysis) Watch the colored lines: • Red/Orange: Symbol 2 leads Symbol 1 by 1-2 periods • Blue: Instruments move simultaneously • Green/Purple: Symbol 1 leads Symbol 2 by 1-2 periods Check the table for exact correlation values and the "Best" relationship Interpreting Results: Correlation > 0.7: Strong positive relationship Correlation 0.3-0.7: Moderate relationship Correlation < 0.3: Weak/no relationship Highest line indicates the optimal timing relationship Popular Use Cases: Index Futures : NQ vs ES, RTY vs IWM Sector Rotation : XLF vs XLK, QQQ vs SPY Commodities : GC vs SI, CL vs NG Currency Pairs : EURUSD vs GBPUSD Crypto : BTC vs ETH correlation analysis Technical Notes: Cross-correlation measures linear relationships between two time series at different time lags. This implementation uses Pearson correlation with adjustable periods, calculating correlations from -2 to +2 period offsets to detect leading/lagging behavior. Perfect for quantitative analysts, pairs traders, and anyone studying inter-market relationships.
Pine Script® indicator
by public_username_twice
Ichimoku Power Indicator# Ichimoku Power Indicator ## Overview The Ichimoku Power Indicator is an advanced tool that combines the traditional Ichimoku Cloud system with a unique power ranking mechanism. This indicator provides traders with a comprehensive view of market trends and potential reversal points, all while quantifying the strength of bullish and bearish signals. ## Key Features 1. **Full Ichimoku Cloud Visualization:** Displays all components of the Ichimoku Cloud system, including Conversion Line (Tenkan-sen), Base Line (Kijun-sen), Leading Span A and B (Kumo), and Lagging Span (Chikou Span). 2. **Power Ranking System:** Calculates and displays a bullish and bearish power score based on 11 different Ichimoku-derived conditions. 3. **Real-time Updates:** Power scores are updated in real-time as market conditions change. 4. **Easy-to-Read Display:** A clear, color-coded table shows the current bullish and bearish power scores. 5. **Customizable Parameters:** Allows adjustment of key Ichimoku settings to suit different trading styles and timeframes. ## How It Works The indicator evaluates 11 different conditions derived from Ichimoku Cloud components: 1. Cloud color 2. Price position relative to the cloud 3. Tenkan-sen vs Kijun-sen 4. Price vs Tenkan-sen 5. Price vs Kijun-sen 6. Tenkan-sen vs Cloud 7. Kijun-sen vs Cloud 8. Chikou Span vs Cloud 9. Chikou Span vs Tenkan-sen 10. Chikou Span vs Kijun-sen 11. Chikou Span vs Price Each bullish condition adds a point to the bullish power score, while each bearish condition adds a point to the bearish power score. The maximum score for each is 11. ## Interpretation - Higher bullish scores suggest stronger upward trends or potential bullish reversals. - Higher bearish scores indicate stronger downward trends or potential bearish reversals. - When scores are close, it may indicate a period of consolidation or uncertainty. ## Use Cases - Trend Confirmation: Use in conjunction with price action to confirm the strength of current trends. - Reversal Detection: Watch for changes in power scores as early indicators of potential trend reversals. - Entry and Exit Signals: High power scores can be used to identify optimal entry or exit points. - Market Analysis: Gain a quick overview of market conditions across multiple assets or timeframes. ## Note This indicator is designed to complement your existing trading strategy. Always use it in conjunction with other forms of analysis and proper risk management techniques. Experiment with different timeframes and settings to find the configuration that best suits your trading style and the assets you trade. Happy trading!
Pine Script® indicator
by atakhadivi
Price Divergence IndicatorThis Price Divergence Indicator indicator modifies the standard Divergence Indicator to look for price divergences between the current chart and any other selected TradingView chart. The thesis that this indicator is built upon: Prices on assets or indices that are normally correlated move in lock step. Where there are deviations between the confirmed highs or lows of two assets or indices it is likely that they will "catch up" in the near future. By default it will load the price data for the SPX and look for price divergences on the current chart timeframe. Any TradingView Symbol can be selected as the 'Comparison Source' and any timeframe. Some of the options I've been trying out include: SPX vs NDQ XAO vs SPX UK100 vs NDQM MSFT vs NDQM GOOG vs NDQM AMZN vs MSFT BTC vs ETH BTC vs NDQ BTC vs DXY I've found looking for divergences on a longer timeframe can be useful and don't expect any meaningful results if you set it to shorter than chart timeframes. Alerts can be created based on any of the divergences and the 'Backtest Buy Signal' can be used to send notification to a backtester (bull = 2, hidden bull = 1, neutral = 0, hidden bear = -1, bear = -2), this is plotted to display.none, so enable it in Settings - Style and disable all other plots to see it. Divergences are measured between the CONFIRMED peaks of the two charts. The confirmation timeframe is set using 'Pivot Lookback Right'. The lower the lookback the quicker the signal and the more likely it is to not have hit an actual peak, a higher lookback will give a much more dependable signal but the move may be finished by the time the alert actually fires. The "Plot When Alerts Fire" option should give you an idea (top and bottom triangles) of what to expect, but you should watch bar replays to understand how your setting will impact when alerts are created and potential false positives.
Pine Script® indicator
by EltAlt
8
BOCS Channel Scalper Indicator - Mean Reversion Alert System# BOCS Channel Scalper Indicator - Mean Reversion Alert System ## WHAT THIS INDICATOR DOES: This is a mean reversion trading indicator that identifies consolidation channels through volatility analysis and generates alert signals when price enters entry zones near channel boundaries. **This indicator version is designed for manual trading with comprehensive alert functionality.** Unlike automated strategies, this tool sends notifications (via popup, email, SMS, or webhook) when trading opportunities occur, allowing you to manually review and execute trades. The system assumes price will revert to the channel mean, identifying scalp opportunities as price reaches extremes and preparing to bounce back toward center. ## INDICATOR VS STRATEGY - KEY DISTINCTION: **This is an INDICATOR with alerts, not an automated strategy.** It does not execute trades automatically. Instead, it: - Displays visual signals on your chart when entry conditions are met - Sends customizable alerts to your device/email when opportunities arise - Shows TP/SL levels for reference but does not place orders - Requires you to manually enter and exit positions based on signals - Works with all TradingView subscription levels (alerts included on all plans) **For automated trading with backtesting**, use the strategy version. For manual control with notifications, use this indicator version. ## ALERT CAPABILITIES: This indicator includes four distinct alert conditions that can be configured independently: **1. New Channel Formation Alert** - Triggers when a fresh BOCS channel is identified - Message: "New BOCS channel formed - potential scalp setup ready" - Use this to prepare for upcoming trading opportunities **2. Long Scalp Entry Alert** - Fires when price touches the long entry zone - Message includes current price, calculated TP, and SL levels - Notification example: "LONG scalp signal at 24731.75 | TP: 24743.2 | SL: 24716.5" **3. Short Scalp Entry Alert** - Fires when price touches the short entry zone - Message includes current price, calculated TP, and SL levels - Notification example: "SHORT scalp signal at 24747.50 | TP: 24735.0 | SL: 24762.75" **4. Any Entry Signal Alert** - Combined alert for both long and short entries - Use this if you want a single alert stream for all opportunities - Message: "BOCS Scalp Entry: at " **Setting Up Alerts:** 1. Add indicator to chart and configure settings 2. Click the Alert (⏰) button in TradingView toolbar 3. Select "BOCS Channel Scalper" from condition dropdown 4. Choose desired alert type (Long, Short, Any, or Channel Formation) 5. Set "Once Per Bar Close" to avoid false signals during bar formation 6. Configure delivery method (popup, email, webhook for automation platforms) 7. Save alert - it will fire automatically when conditions are met **Alert Message Placeholders:** Alerts use TradingView's dynamic placeholder system: - {{ticker}} = Symbol name (e.g., NQ1!) - {{close}} = Current price at signal - {{plot_1}} = Calculated take profit level - {{plot_2}} = Calculated stop loss level These placeholders populate automatically, creating detailed notification messages without manual configuration. ## KEY DIFFERENCE FROM ORIGINAL BOCS: **This indicator is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities: - **Original BOCS**: 1-3 signals per channel (only on breakout) - **Scalper Indicator**: 5-15+ signals per channel (every touch of entry zones) - **Trade Style**: Mean reversion vs trend following - **Hold Time**: Seconds to minutes vs minutes to hours - **Best Markets**: Ranging/choppy conditions vs trending breakouts This makes the indicator ideal for active day traders who want continuous alert opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased signal frequency also means higher potential commission costs and requires disciplined trade selection when acting on alerts. ## TECHNICAL METHODOLOGY: ### Price Normalization Process: The indicator normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis. ### Volatility Detection: A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The indicator uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars). ### Channel Formation Logic: When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The indicator tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas. ### Entry Signal Generation: The indicator uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%): - **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2) - **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2) Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. Visual markers (arrows and labels) appear on chart, and configured alerts fire immediately. ### Cooldown Filter: An optional cooldown period (measured in bars) prevents alert spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long alert will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period. ### ATR Volatility Filter: The indicator includes a multi-timeframe ATR filter to avoid alerts during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while viewing 5-minute charts). The filter compares current ATR to a user-defined minimum threshold: - If ATR ≥ threshold: Alerts enabled - If ATR < threshold: No alerts fire This prevents notifications during dead zones where mean reversion is unreliable due to insufficient price movement. The ATR status is displayed in the info table with visual confirmation (✓ or ✗). ### Take Profit Calculation: Two TP methods are available: **Fixed Points Mode**: - Long TP = Entry + (TP_Ticks × syminfo.mintick) - Short TP = Entry - (TP_Ticks × syminfo.mintick) **Channel Percentage Mode**: - Long TP = Entry + (ChannelRange × TP_Percent) - Short TP = Entry - (ChannelRange × TP_Percent) Default 50% targets the channel midline, a natural mean reversion target. These levels are displayed as visual lines with labels and included in alert messages for reference when manually placing orders. ### Stop Loss Placement: Stop losses are calculated just outside the channel boundary by a user-defined tick offset: - Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick) - Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick) This logic assumes channel breaks invalidate the mean reversion thesis. SL levels are displayed on chart and included in alert notifications as suggested stop placement. ### Channel Breakout Management: Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations. ## INPUT PARAMETERS: ### Channel Settings: - **Nested Channels**: Allow multiple overlapping channels vs single channel - **Normalization Length**: Lookback for high/low calculation (1-500, default 100) - **Box Detection Length**: Period for volatility detection (1-100, default 14) ### Scalping Settings: - **Enable Long Scalps**: Toggle long alert generation on/off - **Enable Short Scalps**: Toggle short alert generation on/off - **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%) - **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5) - **Cooldown Period (Bars)**: Minimum spacing between alerts (0 = no cooldown) ### ATR Filter: - **Enable ATR Filter**: Toggle volatility filter on/off - **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.) - **ATR Length**: Smoothing period (1-100, default 14) - **Min ATR Value**: Threshold for alert enablement (0.1+, default 10.0) ### Take Profit Settings: - **TP Method**: Choose Fixed Points or % of Channel - **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30) - **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%) ### Appearance: - **Show Entry Zones**: Toggle zone labels on channels - **Show Info Table**: Display real-time indicator status - **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right) - **Long Color**: Customize long signal color (default: darker green for readability) - **Short Color**: Customize short signal color (default: red) - **TP/SL Colors**: Customize take profit and stop loss line colors - **Line Length**: Visual length of TP/SL reference lines (5-200 bars) ## VISUAL INDICATORS: - **Channel boxes** with semi-transparent fill showing consolidation zones - **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼" - **Entry signal arrows** below/above bars marking long/short alerts - **TP/SL reference lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL) - **Info table** showing channel status, last signal, entry/TP/SL prices, risk/reward ratio, and ATR filter status - **Visual confirmation** when alerts fire via on-chart markers synchronized with notifications ## HOW TO USE: ### For 1-3 Minute Scalping with Alerts (NQ/ES): - ATR Timeframe: "1" (1-minute) - ATR Min Value: 10.0 (for NQ), adjust per instrument - Entry Zone %: 20-25% - TP Method: Fixed Points, 20-40 ticks - SL Offset: 5-10 ticks - Cooldown: 2-3 bars to reduce alert spam - **Alert Setup**: Configure "Any Entry Signal" for combined long/short notifications - **Execution**: When alert fires, verify chart visuals, then manually place limit order at entry zone with provided TP/SL levels ### For 5-15 Minute Day Trading with Alerts: - ATR Timeframe: "5" or match chart - ATR Min Value: Adjust to instrument (test 8-15 for NQ) - Entry Zone %: 20-30% - TP Method: % of Channel, 40-60% - SL Offset: 5-10 ticks - Cooldown: 3-5 bars - **Alert Setup**: Configure separate "Long Scalp Entry" and "Short Scalp Entry" alerts if you trade directionally based on bias - **Execution**: Review channel structure on alert, confirm ATR filter shows ✓, then enter manually ### For 30-60 Minute Swing Scalping with Alerts: - ATR Timeframe: "15" or "30" - ATR Min Value: Lower threshold for broader market - Entry Zone %: 25-35% - TP Method: % of Channel, 50-70% - SL Offset: 10-15 ticks - Cooldown: 5+ bars or disable - **Alert Setup**: Use "New Channel Formation" to prepare for setups, then "Any Entry Signal" for execution alerts - **Execution**: Larger timeframes allow more analysis time between alert and entry ### Webhook Integration for Semi-Automation: - Configure alert webhook URL to connect with platforms like TradersPost, TradingView Paper Trading, or custom automation - Alert message includes all necessary order parameters (direction, entry, TP, SL) - Webhook receives structured data when signal fires - External platform can auto-execute based on alert payload - Still maintains manual oversight vs full strategy automation ## USAGE CONSIDERATIONS: - **Manual Discipline Required**: Alerts provide opportunities but execution requires judgment. Not all alerts should be taken - consider market context, trend, and channel quality - **Alert Timing**: Alerts fire on bar close by default. Ensure "Once Per Bar Close" is selected to avoid false signals during bar formation - **Notification Delivery**: Mobile/email alerts may have 1-3 second delay. For immediate execution, use desktop popups or webhook automation - **Cooldown Necessity**: Without cooldown, rapidly touching price action can generate excessive alerts. Start with 3-bar cooldown and adjust based on alert volume - **ATR Filter Impact**: Enabling ATR filter dramatically reduces alert count but improves quality. Track filter status in info table to understand when you're receiving fewer alerts - **Commission Awareness**: High alert frequency means high potential trade count. Calculate if your commission structure supports frequent scalping before acting on all alerts ## COMPATIBLE MARKETS: Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features are not included in this indicator version. Multi-timeframe ATR requires higher-tier TradingView subscription for request.security() functionality on timeframes below chart timeframe. ## KNOWN LIMITATIONS: - **Indicator does not execute trades** - alerts are informational only; you must manually place all orders - **Alert delivery depends on TradingView infrastructure** - delays or failures possible during platform issues - **No position tracking** - indicator doesn't know if you're in a trade; you must manage open positions independently - **TP/SL levels are reference only** - you must manually set these on your broker platform; they are not live orders - **Immediate touch entry can generate many alerts** in choppy zones without adequate cooldown - **Channel deletion at 10-tick breaks** may be too aggressive or lenient depending on instrument tick size - **ATR filter from lower timeframes** requires TradingView Premium/Pro+ for request.security() - **Mean reversion logic fails** in strong breakout scenarios - alerts will fire but trades may hit stops - **No partial closing capability** - full position management is manual; you determine scaling out - **Alerts do not account for gaps** or overnight price changes; morning alerts may be stale ## RISK DISCLOSURE: Trading involves substantial risk of loss. This indicator provides signals for educational and informational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Mean reversion strategies can experience extended drawdowns during trending markets. Alerts are not guaranteed to be profitable and should be combined with your own analysis. Stop losses may not fill at intended levels during extreme volatility or gaps. Never trade with capital you cannot afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Always verify alerts against current market conditions before executing trades manually. ## ACKNOWLEDGMENT & CREDITS: This indicator is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community. Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based alert generation, comprehensive alert condition system with customizable notifications, multi-timeframe ATR volatility filtering, cooldown period for alert management, dual TP methods (fixed points vs channel percentage), visual TP/SL reference lines, and real-time status monitoring table. This indicator version is specifically designed for manual traders who prefer alert-based decision making over automated execution.
Pine Script® indicator
by TradeManager_PRO