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Indicators and strategies

OBV with Divergence (SMA Smoother)Title: OBV Divergence with SMA Smoothing Description: This indicator is a powerful tool designed to identify regular (reversal) and hidden (continuation) On-Balance Volume (OBV) divergences against price action. It uses a modified OBV calculation (an OBV Oscillator) and integrates pivot analysis to automatically highlight potential turning points or trend continuations directly on your chart. Key Features Advanced Divergence Detection: Automatically detects and labels four types of divergences: Regular Bullish/Bearish: Signals potential trend reversals. Regular Bullish: Price makes a Lower Low (LL) but the OBV Oscillator makes a Higher Low (HL). Regular Bearish: Price makes a Higher High (HH) but the OBV Oscillator makes a Lower High (LH). Hidden Bullish/Bearish: Signals potential trend continuations. Hidden Bullish: Price makes a Higher Low (HL) but the OBV Oscillator makes a Lower Low (LL). Hidden Bearish: Price makes a Lower High (LH) but the OBV Oscillator makes a Higher High (HH). OBV Oscillator: Instead of plotting the raw OBV, this script uses the difference between the OBV and its Exponential Moving Average (EMA). This technique centers the indicator around zero, making it easier to visualize volume momentum shifts and clearly identify peaks and troughs for divergence analysis. Optional SMA Smoothing Line (New Feature): An added Simple Moving Average (SMA) line can be toggled on to further smooth the OBV Oscillator. Traders can use this line for crossover signals or to confirm the underlying trend of the volume momentum, reducing whipsaws. Customizable Lookback: The indicator allows you to define the lookback periods (Pivot Lookback Left/Right) for price and oscillator pivots, giving you precise control over sensitivity. The Max/Min of Lookback Range helps filter out divergences that are too close or too far apart.
Pine Script® indicator
by ancorman
🔥 QUANT MOMENTUM SKORQUANT MOMENTUM SCORE – Description (EN) Summary: This indicator fuses Price ROC, RSI, MACD, Trend Strength (ADX+EMA) and Volume into a single 0-100 “Momentum Score.” Guide bands (50/60/70/80) and ready-to-use alert conditions are included. How it works Price Momentum (ROC): Rate of change normalized to 0-100. RSI Momentum: RSI treated as a momentum proxy and mapped to 0-100. MACD Momentum: MACD histogram normalized to capture acceleration. Trend Strength: ADX is direction-aware (DI+ vs DI–) and blended with EMA state (above/below) to form a combined trend score. Volume Momentum: Volume relative to its moving average (ratio-based). Weighting: All five components are weighted, auto-normalized, and summed into the final 0-100 score. Visuals & Alerts: Score line with 50/60/70/80 guides; threshold-cross alerts for High/Strong/Ultra-Strong regimes. Inputs, weights and thresholds are configurable; total weights are normalized automatically. How to use Timeframes: Works on any timeframe—lower TFs react faster; higher TFs reduce noise. Reading the score: <50: Weak momentum 50-60: Transition 60-70: Moderate-Strong (potential acceleration) ≥70: Strong, ≥80: Ultra Strong Practical tip: Use it as a filter, not a stand-alone signal. Combine score breakouts with market structure/trend context (e.g., pullback-then-re-acceleration) to improve selectivity. Disclaimer: This is not financial advice; past performance does not guarantee future results.
Pine Script® indicator
by kashmehmet
1
Pre-London & London Session (Auto DST) MMMThis indicator automatically marks the Pre-London and London Open sessions for any trading day, with full U.S. Daylight Saving Time (DST) adjustment. It’s ideal for traders backtesting Gold (XAUUSD) or other pairs sensitive to London liquidity, as it dynamically shifts between UTC-4 and UTC-5 to stay perfectly aligned with institutional session timing. Features: 🕑 Auto-detects whether the date falls under U.S. Daylight or Standard Time 🟧 Highlights Pre-London session (2 a.m.–3 a.m. EDT / 1 a.m.–2 a.m. EST) 🟩 Highlights London session (3 a.m.–5 a.m. EDT / 2 a.m.–4 a.m. EST) ⚙️ No manual adjustments needed — fully automatic for any backtest date 📈 Perfect for ICT, Smart Money, and liquidity-based session strategies Recommended settings: Chart timezone: New York Works on all symbols and timeframes
Pine Script® indicator
by vc180wm
TheStrat: Failed 2 + 2 ConfirmationTheStrat: Failed-2 + 2 Confirmation (2-2 option) This indicator spots a classic Strat “failed 2 → 2” sequence on consecutive bars, and fires alerts only when both conditions are met: Failed-2 bar on the prior candle Failed 2-Down (F2D): Took the prior low but closed green Failed 2-Up (F2U): Took the prior high but closed red By default this is strict (excludes outside bars/3’s). You can toggle to allow 3’s if you prefer a looser definition. Current bar is a clean “2” 2U = broke prior high only; 2D = broke prior low only (excludes 3’s). Optional: Require flip so the second bar must reverse direction (F2D→2U for longs, F2U→2D for shorts). Turn this off if you want any 2 after a Failed-2. What gets plotted Tiny markers on each Failed-2 as they occur (F2U/F2D). A label when the combo confirms on the next bar: Bullish: F2D→2U (or F2D→2 if flip is off) below the bar Bearish: F2U→2D (or F2U→2) above the bar Alerts (set from the “Add Alert” dialog) Failed2 + 2 (Bull): Prior bar was F2D; current bar is a 2 (flip optional). Failed2 + 2 (Bear): Prior bar was F2U; current bar is a 2 (flip optional). Inputs Colors for Failed-2 markers and combo labels Require flip (on by default) → focuses on true 2-2 reversals Count outside bars (3) as Failed-2? (off by default) → stricter = fewer, cleaner signals How to trade it (typical Strat style) Bullish combo (F2D→2U): Entry on break of the combo bar’s high; risk under its low (or under the prior bar). Bearish combo (F2U→2D): Entry on break of the combo bar’s low; risk above its high. First target = prior pivot (“magnitude”), then nearby pivots/BF levels. Improve odds by aligning with time-frame continuity (e.g., day/week in your direction). Notes / Best practices Uses barstate.isconfirmed → signals/labels are based on closed bars to avoid repaint. If you see too many Failed-2 tags, keep outside-bar counting OFF (strict mode).
Pine Script® indicator
by LorPlant
1
Ultra-Fast Scalp Predictor 2This is a Pine Script (version 5) indicator engineered for ultra-low latency scalping, optimized specifically for very short timeframes (1-second to 1-minute charts) to predict price direction over the next 30-60 seconds. It operates as a single, composite directional score by combining six highly sensitive, fast-moving analytical components. Core Prediction Methodology: The indicator calculates a single predictionScore which is a sum of six weighted factors, designed to capture immediate changes in market momentum, volatility, and order flow pressure. The Prediction Score determines the signal: predictUp: predictionScore is greater than the Bull Threshold ($\text{Sensitivity} \times 10$). predictDown: predictionScore is less than the Bear Threshold ($\text{Sensitivity} \times -10$). confidence: Calculated as the normalized absolute magnitude of the predictionScore relative to a theoretical maximum (math.abs(predictionScore) / 50 \times 100).
Pine Script® indicator
by Aarcan
Scalp ThisKey Features and Components: The indicator is built around a multi-layered approach, drawing on diverse aspects of price action and volume analysis: Core Inputs & Goal: Goal: Predict short-term (1-10 second) price direction. This means it must be run on the lowest available timeframe (e.g., 1-second or 1-minute chart, as it analyzes minute-to-minute changes). lookback (Default 8): The period used for various moving averages and extreme detection (micro highs/lows). sensitivity (Default 1.0): Controls the threshold for generating a signal. A lower value requires the predictionScore to be less extreme to trigger an 'Up' or 'Down' signal. Advanced Features: It includes toggles for specialized components like ML Pattern Recognition, Tick Flow Analysis, and Liquidity Zone Detection, even though the "ML" part is purely algorithmic and not actual machine learning (Pine Script doesn't support true ML).
Pine Script® indicator
by Aarcan
1
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
Supertrend with Coppock Curve and Dynamic Time WindowOverview This indicator combines the **Supertrend** trend-following system with the **Coppock Curve** momentum oscillator to generate high-probability buy and sell signals. An additional **dynamic time window filter** ensures trades only occur during your specified trading hours, making it ideal for intraday traders who want to avoid low-liquidity periods. How It Works **Signal Generation:** - **BUY Signal** (Green label below bar): Triggered when the Coppock Curve crosses above zero, the Supertrend confirms an uptrend, and the current time is within your specified trading window - **SELL Signal** (Purple label above bar): Triggered when the Coppock Curve crosses below zero, the Supertrend confirms a downtrend, and the current time is within your specified trading window **Triple Confirmation System:** 1. **Coppock Curve** - Identifies momentum shifts using rate-of-change calculations 2. **Supertrend** - Confirms the prevailing trend direction to filter false signals 3. **Time Window** - Ensures trades only occur during high-liquidity hours Input Parameters **Supertrend Settings:** - **ATR Length** (Default: 19) - Period for calculating the Average True Range - **Factor** (Default: 3.0) - Multiplier for ATR to determine Supertrend sensitivity **Time Window Settings (Tehran Time UTC+3:30):** - **Start Hour/Minute** (Default: 10:30) - Beginning of active trading window - **End Hour/Minute** (Default: 22:30) - End of active trading window Best Practices - Works best on **trending markets** due to the Supertrend filter - Recommended timeframes: **15min, 30min, 1H, 4H** - Lower the Factor value (2.0-2.5) for more signals in volatile markets - Increase the Factor value (3.5-4.0) for fewer, higher-quality signals in ranging markets - Adjust the time window to match your market's peak liquidity hours Risk Disclaimer This indicator is for educational purposes only. Always use proper risk management, position sizing, and combine with your own analysis before making trading decisions.
Pine Script® indicator
by Heuchache
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
ADX and DI deltaJust a small adjustment to a well known indicator, the ADX with +DI and -DI. I've always been annoyed of how cluttered this indicator is, specially do to the increasing gap between +DI and -DI, so I changed it up a bit. ADX line has not been adjusted +DI and -DI have now merged into deltaDI deltaDI changes color depending on which value is higher (+DI > -DI = green line, else red line) Plots a dashed 0 line (not editable) Plots a two dotted lines at value 20 and 25 (editable) Plots a label above/below price on the chart if the trend is exhausted and might end. (can be disabled) Now you only have the ADX line together with a delta line. The delta line is the gap between +DI and -DI and will change color depending on which one is highest and controlling the trend. +DI = green line -DI = red line I've also added both a 20 and 25 horizontal dotted line. Normally ADX should be 25 or higher to start a trend, but I do know a lot of people like to be greedy and jump in early in the trend build-up. A dashed 0 line has been added, just because I felt like it. If either the ADX or delta ever cross below it without you editing the script yourself, just delete the script as it clearly doesn't do its job. A red label_down will be plotted above the price when the ADX starts curling down and +DI > -DI. This indicates at best a breather for a bullish up trend or a possible reversal. A red label_down will be plotted above the price if the ADX is above 25 and starts curling down while +DI > -DI. This indicates at best a breather for a bullish up trend or a possible reversal. A green label_up will be plotted below the price if the ADX is above 25 and starts curling down while -DI > +DI. This indicates at best a breather for a bearish down trend or a possible reversal. Enjoy my take on the indicator.
Pine Script® indicator
by GizmoTheInvestor
Loss Alarm (multi-TF)Loss Alarm (multi-TF) This script triggers an alert once the price candel body stays fully under a chosen line for a predefined period of time. Select your own ticker, timeframe, and price level. The alert is triggered only once per session. A line is plotted on the chart with a label showing the selected timeframe, so you know which alert is active. ⚠️ Note: you must manually create a separate TradingView alert using the condition provided by the script.
Pine Script® indicator
by nickkooijman
Gain Alarm (multi-TF )369 Gain Alarm (multi-TF) This script triggers an alert once the price candel body stays fully above a chosen line for a predefined period of time. Select your own ticker, timeframe, and price level. The alert is triggered only once per session. A line is plotted on the chart with a label showing the selected timeframe, so you know which alert is active. ⚠️ Note: you must manually create a separate TradingView alert using the condition provided by the script.
Pine Script® indicator
by nickkooijman
CCI [Hash Adaptive]Adaptive CCI Pro: Professional Technical Analysis Indicator The Commodity Channel Index is a momentum oscillator developed by Donald Lambert in 1980. CCI measures the relationship between an asset's price and its statistical average, identifying cyclical turns and overbought/oversold conditions. The indicator oscillates around zero, with values above +100 indicating overbought conditions and values below -100 suggesting oversold conditions. Standard CCI Formula: (Typical Price - Moving Average) / (0.015 × Mean Deviation) This indicator transforms the traditional CCI into a sophisticated visual analysis tool through several key enhancements: Implements dual exponential moving average smoothing to eliminate market noise Preserves signal integrity while reducing false signals Adaptive smoothing responds to market volatility conditions Dynamic Color Visualization System Continuous gradient transitions from red (bearish momentum) to green (bullish momentum) Real-time color intensity reflects momentum strength Eliminates discrete color jumps for fluid visual interpretation Adaptive Intelligence Features Dynamic overbought/oversold thresholds adapt to market conditions Reduces false signals during high volatility periods Maintains sensitivity during low volatility environments Momentum Vector Analysis Incorporates velocity calculations for early trend identification Crossover detection with momentum confirmation Advanced signal filtering reduces market noise Extreme Level Analysis Values above +100: Strong overbought conditions, potential reversal zones Values below -100: Strong oversold conditions, potential buying opportunities Zero-line crossovers: Momentum shift confirmation Optimization Parameters CCI Period (Default: 14) Shorter periods (10-12): Increased sensitivity, more signals Standard periods (14-20): Balanced responsiveness and reliability Longer periods (21-30): Reduced noise, stronger signal confirmation Smoothing Factor (Default: 5) Lower values (1-3): Maximum responsiveness, suitable for scalping Medium values (4-6): Balanced approach for swing trading Higher values (7-10): Institutional-grade smoothness for position trading Signal Sensitivity (Default: 6) Conservative (7-10): High-probability signals, reduced frequency Balanced (5-6): Optimal risk-reward ratio Aggressive (1-4): Maximum signal generation, requires additional confirmation Strategic Implementation Oversold reversals in red zones with momentum confirmation Zero-line breaks with sustained color transitions Extreme readings followed by momentum divergence Risk Management Use extreme levels (+100/-100) for position sizing decisions Monitor color intensity for momentum strength assessment Combine with price action analysis for comprehensive market view Market Context Application Trending markets: Focus on momentum direction and extreme readings Range-bound markets: Utilize overbought/oversold levels for mean reversion Volatile markets: Increase smoothing parameters and signal sensitivity Professional Advantages Instantaneous momentum assessment through color visualization Reduced cognitive load compared to traditional oscillators Professional presentation suitable for client reporting Adaptive Technology Self-adjusting parameters reduce manual optimization requirements Consistent performance across varying market conditions Advanced mathematics eliminate common CCI limitations The Adaptive CCI Pro represents the evolution of momentum analysis, combining Lambert's foundational CCI concept with modern computational techniques to deliver institutional-grade market intelligence through an intuitive visual interface.
Pine Script® indicator
by Hash_Capital
Iriza4 -DAX EMA+HULL+ADX TP40 SL205 MIN SKALP. Additional filters improve accuracy: the strategy blocks trades after too many consecutive bullish or bearish candles (streak filter) and ignores signals when price is too far from the EMA (measured by ATR distance). Each position uses a fixed risk-to-reward ratio of 1 : 2 with clear stop-loss and take-profit targets, without partial exits or breakevens. The goal is to identify clean pullbacks inside strong trends and filter out late or exhausted entries
Pine Script® strategy
by Radoje1984