Get started

Candlestick analysis

Crypto LONG PYThis trading approach is a powerful combination of technical tools aimed at taking advantage of market fluctuations with precision and reliability. By integrating Bollinger Bands (BB), the Relative Strength Index (RSI), Exponential Moving Averages (EMA), and Fibonacci retracement levels (Fib), we create a strategy that captures key market moves and helps identify optimal entry and exit points, all within the context of the New York market conditions (NY). Bollinger Bands provide insight into market volatility, offering signals about potential extreme price movements. The RSI is used to measure momentum and assess overbought or oversold conditions, indicating when the market might be nearing a reversal. Meanwhile, EMAs add a layer of smoothing, allowing us to observe short- and medium-term trends, helping filter out false signals and providing a clearer view of the overall market direction. Additionally, Fibonacci retracements are integrated to identify key support and resistance levels, pinpointing potential areas of price retracement and continuation. When combined, these indicators offer a holistic approach to navigating the markets, enabling traders to make data-driven, informed decisions. This approach is ideal for traders looking for a meticulous methodology for trading during the NY session, where liquidity and volatility tend to be at their highest. Leverage the synergy between these indicators to optimize your trading strategy and maximize your market performance.
Pine Script® strategy
by Saletrader1
Multi-MA + RSI Pullback Strategy (Jordan)1️⃣ Strategy logic I’ll code From your screenshots: Indicators • EMAs: 600 / 200 / 100 / 50 • RSI: length 6, levels 80 / 20 Rules (simplified so a script can handle them): • Use a higher-timeframe trend filter (15m or 1h) using the EMAs. • Take entries on the chart timeframe (you can use 1m or 5m). • Long: • Higher-TF trend is up. • Price is pulling back into a zone (between 50 EMA and 100 EMA on the entry timeframe – this approximates your 50–61% retrace). • RSI crosses below 20 (oversold). • Short: • Higher-TF trend is down. • Price pulls back between 50 & 100 EMAs. • RSI crosses above 80 (overbought). • Exits: ATR-based stop + take-profit with adjustable R:R (2:1 or 3:1). • Max 4 trades per day. News filter & “only trade gold” you handle manually (run it on XAUUSD and avoid news times yourself – TradingView can’t read the economic calendar from code).
Pine Script® strategy
by jordana4r79
Trend Following $ZEC - Multi-Timeframe Structure Filter + Revers# Trend Following CRYPTOCAP:ZEC - Strategy Guide ## 📊 Strategy Overview Trend Following CRYPTOCAP:ZEC is an enhanced Turtle Trading system designed for cryptocurrency spot trading, combining Donchian Channel breakouts, multi-timeframe structure filtering, and ATR-based dynamic risk management for both long and short positions. --- ## 🎯 Core Features 1. Multi-Timeframe Structure Filtering - Uses Swing High/Low to identify market structure - Customizable structure timeframe (default: 1 minute) - Only enters trades in the direction of the trend, avoiding counter-trend positions 2. Reverse Signal Exit - No fixed stop-loss or fixed-period exits - Exits only when a reverse entry signal triggers - Maximizes trend profits, reduces premature exits 3. ATR Dynamic Pyramiding - Adds positions when price moves 0.5 ATR in favorable direction - Supports up to 2 units maximum (adjustable) - Pyramid scaling to enhance profitability 4. Complete Risk Management - Fixed position size (5000 USD per unit) - Commission fee 0.06% (Binance spot rate) - Initial capital 10,000 USD --- ## 📈 Trading Logic Entry Conditions ✅ Long Entry: - Close price breaks above 20-period high - Structure trend is bullish (price breaks above Swing High) ✅ Short Entry: - Close price breaks below 20-period low - Structure trend is bearish (price breaks below Swing Low) Add Position Conditions - Long: Price rises ≥ 0.5 ATR - Short: Price falls ≥ 0.5 ATR - Maximum 2 units including initial entry Exit Conditions - Long Exit: When short entry signal triggers (price breaks 20-period low + structure turns bearish) - Short Exit: When long entry signal triggers (price breaks 20-period high + structure turns bullish) --- ## ⚙️ Parameter Settings Channel Settings - Entry Channel Period: 20 (Donchian Channel breakout period) - Exit Channel Period: 10 (reserved parameter, actually uses reverse signal exit) ATR Settings - ATR Period: 20 - Stop Loss ATR Multiplier: 2.0 (reserved parameter) - Add Position ATR Multiplier: 0.5 Structure Filter - Swing Length: 160 (Swing High/Low calculation period) - Structure Timeframe: 1 minute (can change to 5/15/60, etc.) Position Management - Maximum Units: 2 (including initial entry) - Capital Per Unit: 5000 USD --- ## 🎨 Visualization Features Background Colors - Light Green: Bullish structure - Light Red: Bearish structure - Dark Green: Long entry - Dark Red: Short entry Optional Display (Default: OFF) - Entry/exit channel lines - Structure high/low lines - ATR stop-loss line - Next add position indicator - Entry/exit labels --- ## 📱 Alert Message Format Strategy sends notifications on entry/exit with the following format: - Entry: `1m Long EP:428.26` - Add Position: `15m Add Long 2/2 EP:429.50` - Exit: `1m Close Long Reverse Signal` Where: - `1m`/`15m` = Current chart timeframe - `EP` = Entry Price --- ## 💰 Backtest Settings Capital Allocation - Initial Capital: 10,000 USD - Per Entry: 5,000 USD (split into 2 entries) - Leverage: 0x (spot trading) Trading Costs - Commission: 0.06% (Binance spot VIP0) - Slippage: 0 --- ## 🎯 Use Cases ✅ Best Scenarios - Trending markets - Moderate volatility assets - 1-minute to 4-hour timeframes ⚠️ Not Suitable For - Highly volatile choppy markets - Low liquidity small-cap coins - Extreme market conditions (black swan events) --- ## 📊 Usage Recommendations Timeframe Suggestions | Timeframe | Trading Style | Suggested Parameter Adjustment | |-----------|--------------|-------------------------------| | 1-5 min | Scalping | Swing Length 100-160 | | 15-30 min | Short-term | Swing Length 50-100 | | 1-4 hour | Swing Trading | Swing Length 20-50 | Optimization Tips 1. Adjust swing length based on backtest results 2. Different coins may require different parameters 3. Recommend backtesting on 1-minute chart first before live trading 4. Enable labels to observe entry/exit points --- ## ⚠️ Risk Disclaimer 1. Past Performance Does Not Guarantee Future Results - Backtest data is for reference only - Live trading may be affected by slippage, delays, etc. 2. Market Condition Changes - Strategy performs better in trending markets - May experience frequent stops in ranging markets 3. Capital Management - Do not invest more than you can afford to lose - Recommend setting total capital stop-loss threshold 4. Commission Impact - Frequent trading accumulates commission fees - Recommend using exchange discounts (BNB fee reduction, etc.) --- ## 🔧 Troubleshooting Q: No entry signals? A: Check if structure filter is too strict, adjust swing length or timeframe Q: Too many labels displayed? A: Turn off "Show Labels" option in settings Q: Poor backtest performance? A: 1. Check if the coin is suitable for trend-following strategies 2. Adjust parameters (swing length, channel period) 3. Try different timeframes Q: How to set alerts? A: 1. Click "Alert" in top-right corner of chart 2. Condition: Select "Strategy - Trend Following CRYPTOCAP:ZEC " 3. Choose "Order filled" 4. Set notification method (Webhook/Email/App) --- ## 📞 Contact Information Strategy Name: Trend Following CRYPTOCAP:ZEC Version: v1.0 Pine Script Version: v6 Last Updated: December 2025 --- ## 📄 Copyright Notice This strategy is for educational and research purposes only. All risks of using this strategy for live trading are borne by the user. Commercial use without authorization is prohibited. --- ## 🎓 Learning Resources To understand the strategy principles in depth, recommended reading: - "The Complete TurtleTrader" - Curtis Faith - "Trend Following" - Michael Covel - TradingView Pine Script Official Documentation --- Happy Trading! Remember to manage your risk 📈
Pine Script® strategy
by ssun_6
Strategia S&P 500 vs US10Y Yield (od 2000)This strategy explores the macroeconomic relationship between the equity market (S&P 500) and the debt market (10-Year Treasury Yield). Historically, rapid spikes in bond yields often exert downward pressure on equity valuations, leading to corrections or bear markets. The goal of this strategy is capital preservation. It attempts to switch to cash when yields are rising too aggressively and re-enter the stock market when the bond market stabilizes.
Pine Script® strategy
by adamniestoj
Strategia S&P 500 vs US10Y YieldThis strategy explores the macroeconomic relationship between the equity market (S&P 500) and the debt market (10-Year Treasury Yield). Historically, rapid spikes in bond yields often exert downward pressure on equity valuations, leading to corrections or bear markets. The goal of this strategy is capital preservation. It attempts to switch to cash when yields are rising too aggressively and re-enter the stock market when the bond market stabilizes.
Pine Script® strategy
by adamniestoj
2 Dip/Tepe + Destek/Direnç + Tek Sinyal Stratejisi⭐ A Brief Summary of What the Strategy Does 🎯 1) Market analysis is being released (bottom-top analysis) It automatically finds pivot bottoms and pivot tops on the strategic chart. Then: If the bottoms are rising (HL – High Low): the trend is upward If the tops are falling (LH – Lower High): the trend is downward it interprets this. 🎯 2) Support and resistance lines are formed Last pivot top = resistance line Last pivot bottom = support line These lines are automatically drawn on the chart. 🎯 3) Breakout is expected according to the trend structure For LONG: The last two bottoms will be rising bottoms The price will rise above the last resistance line This gives a single LONG signal. For SHORT: The last two peaks will be falling peaks The price will fall below the support line This gives a single SHORT signal.
Pine Script® strategy
by hayrialbayir
Reversal WaveThis is the type of quantitative system that can get you hated on investment forums, now that the Random Walk Theory is back in fashion. The strategy has simple price action rules, zero over-optimization, and is validated by a historical record of nearly a century on both Gold and the S&P 500 index. Recommended Markets SPX (Weekly, Monthly) SPY (Monthly) Tesla (Weekly) XAUUSD (Weekly, Monthly) NVDA (Weekly, Monthly) Meta (Weekly, Monthly) GOOG (Weekly, Monthly) MSFT (Weekly, Monthly) AAPL (Weekly, Monthly) System Rules and Parameters Total capital: $10,000 We will use 10% of the total capital per trade Commissions will be 0.1% per trade Condition 1: Previous Bearish Candle (isPrevBearish) (the closing price was lower than the opening price). Condition 2: Midpoint of the Body The script calculates the exact midpoint of the body of that previous bearish candle. • Formula: (Previous Open + Previous Close) / 2. Condition 3: 50% Recovery (longCondition) The current candle must be bullish (green) and, most importantly, its closing price must be above the midpoint calculated in the previous step. Once these parameters are met, the system executes a long entry and calculates the exit parameters: Stop Loss (SL): Placed at the low of the candle that generated the entry signal. Take Profit (TP): Calculated by projecting the risk distance upward. • Calculation: Entry Price + (Risk * 1). Risk:Reward Ratio of 1:1. About the Profit Factor In my experience, TradingView calculates profits and losses based on the percentage of movement, which can cause returns to not match expectations. This doesn’t significantly affect trending systems, but it can impact systems with a high win rate and a well-defined risk-reward ratio. It only takes one large entry candle that triggers the SL to translate into a major drop in performance. For example, you might see a system with a 60% win rate and a 1:1 risk-reward ratio generating losses, even though commissions are under control relative to the number of trades. My recommendation is to manually calculate the performance of systems with a well-defined risk-reward ratio, assuming you will trade using a fixed amount per trade and limit losses to a fixed percentage. Remember that, even if candles are larger or smaller in size, we can maintain a fixed loss percentage by using leverage (in cases of low volatility) or reducing the capital at risk (when volatility is high). Implementing leverage or capital reduction based on volatility is something I haven’t been able to incorporate into the code, but it would undoubtedly improve the system’s performance dramatically, as it would fix a consistent loss percentage per trade, preventing losses from fluctuating with volatility swings. For example, we can maintain a fixed loss percentage when volatility is low by using the following formula: Leverage = % of SL you’re willing to risk / % volatility from entry point to exit or SL And if volatility is high and exceeds the fixed percentage we want to expose per trade (if SL is hit), we could reduce the position size. For example, imagine we only want to risk 15% per SL on Tesla, where volatility is high and would cause a 23.57% loss. In this case, we subtract 23.57% from 15% (the loss percentage we’re willing to accept per trade), then subtract the result from our usual position size. 23.57% - 15% = 8.57% Suppose I use $200 per trade. To calculate 8.57% of $200, simply multiply 200 by 8.57/100. This simple calculation shows that 8.57% equals about $17.14 of the $200. Then subtract that value from $200: $200 - $17.14 = $182.86 In summary, if we reduced the position size to $182.86 (from the usual $200, where we’re willing to lose 15%), no matter whether Tesla moves up or down 23.57%, we would still only gain or lose 15% of the $200, thus respecting our risk management. Final Notes The code is extremely simple, and every step of its development is detailed within it. If you liked this strategy, which complements very well with others I’ve already published, stay tuned. Best regards.
Pine Script® strategy
by OldWave96
2
specific breakout FiFTOStrategy Description: 10:14 Breakout Only Overview This is a time-based intraday trading strategy designed to capture momentum bursts that occur specifically after the 10:14 AM candle closes. It operates on the logic that if price breaks the high of this specific candle within a short window, a trend continuation is likely. Core Logic & Rules The Setup Candle (10:14 AM) The strategy waits specifically for the minute candle at 10:14 to complete. Once this candle closes, the strategy records its High price. Defining the Entry Level It calculates a trigger price by taking the 10:14 High and adding a user-defined Buffer (e.g., +1 point). Formula: Entry Level = 10:14 High + Buffer The "Active Window" (Expiry) The trade setup does not remain open all day. It has a strict time limit. By default, the setup is valid from 10:15 to 10:20. If the price does not break the Entry Level by the expiry time (default 10:20), the setup is cancelled and no trade is taken for the day. Entry Trigger If a candle closes above the Entry Level while the window is open, a Long (Buy) position is opened immediately. Exits (Risk Management) Stop Loss: A fixed number of points below the entry price. Target: A fixed number of points above the entry price. Visual & Automation Features Visual Boxes: Upon entry, the strategy draws a "Long Position" style visual on the chart. A green box highlights the profit zone, and a red box highlights the loss zone. These boxes extend automatically until the trade closes. JSON Alerts: The strategy is pre-configured to send data-rich alerts for automation (e.g., Telegram bots). Entry Alert: Includes Symbol, Entry Price, SL, and TP. Exit Alerts: Specific messages for "Target Hit" or "SL Hit". Summary of User Inputs Entry Buffer: Extra points added to the high to filter false breaks. Fixed Stop Loss: Risk per trade in points. Fixed Target: Reward per trade in points. Expiry Minute: The minute (10:xx) at which the setup becomes invalid if not triggered.
Pine Script® strategy
by official_fifto
Options Scalper v2 - SPY/QQQHere's a comprehensive description of the Options Scalper v2 strategy: --- ## Options Scalper v2 - SPY/QQQ ### Overview A multi-indicator confluence-based scalping strategy designed for trading SPY and QQQ options on short timeframes (1-5 minute charts). The strategy uses a scoring system to generate high-probability CALL and PUT signals by requiring alignment across multiple technical indicators before triggering entries. --- ### Core Logic The strategy operates on a **scoring system (0-9 points)** where both bullish (CALL) and bearish (PUT) conditions are evaluated independently. A signal only fires when: 1. A recent EMA crossover occurred (within the last 3 bars) 2. The direction's score meets the minimum threshold (default: 4 points) 3. The signal's score is higher than the opposite direction 4. Enough bars have passed since the last signal (cooldown period) 5. Price action occurs during valid trading sessions --- ### Indicators Used | Indicator | Purpose | CALL Condition | PUT Condition | |-----------|---------|----------------|---------------| | **9/21 EMA Cross** | Primary trigger | Fast EMA crosses above slow | Fast EMA crosses below slow | | **200 EMA** | Trend filter | Price above 200 EMA | Price below 200 EMA | | **RSI (14)** | Momentum filter | RSI between 45-65 | RSI between 35-55 | | **VWAP** | Institutional level | Price above VWAP | Price below VWAP | | **MACD (12,26,9)** | Momentum confirmation | MACD line > Signal line | MACD line < Signal line | | **Stochastic (14,3)** | Overbought/Oversold | Oversold or K > D | Overbought or K < D | | **Volume** | Participation confirmation | Spike on green candle | Spike on red candle | | **Price Structure** | Breakout detection | Higher high formed | Lower low formed | --- ### Scoring Breakdown **CALL Score (Max 9 points):** - Recent EMA cross up: +2 pts - EMA alignment (fast > slow): +1 pt - RSI in bullish range: +1 pt - Above VWAP: +1 pt - MACD bullish: +1 pt - Volume spike on green candle: +1 pt - Stochastic setup: +1 pt - Above 200 EMA: +1 pt - Breaking higher high: +1 pt **PUT Score (Max 9 points):** - Recent EMA cross down: +2 pts - EMA alignment (fast < slow): +1 pt - RSI in bearish range: +1 pt - Below VWAP: +1 pt - MACD bearish: +1 pt - Volume spike on red candle: +1 pt - Stochastic setup: +1 pt - Below 200 EMA: +1 pt - Breaking lower low: +1 pt --- ### Risk Management The strategy uses **ATR-based dynamic stops and targets**: | Parameter | Default | Description | |-----------|---------|-------------| | Stop Loss | 1.5x ATR | Distance below entry for longs, above for shorts | | Take Profit | 2.0x ATR | Creates a 1:1.33 risk-reward ratio | Positions are also closed on: - Opposite direction signal (flip trade) - Take profit or stop loss hit --- ### Session Filtering Trades are restricted to high-liquidity periods by default: - **Morning Session:** 9:30 AM - 11:00 AM EST - **Afternoon Session:** 2:30 PM - 3:55 PM EST This avoids choppy midday price action and captures the highest volume periods. --- ### Input Parameters | Parameter | Default | Description | |-----------|---------|-------------| | Fast EMA | 9 | Fast moving average period | | Slow EMA | 21 | Slow moving average period | | Trend EMA | 200 | Long-term trend filter | | RSI Length | 14 | RSI calculation period | | RSI Overbought | 65 | Upper RSI threshold | | RSI Oversold | 35 | Lower RSI threshold | | Volume Multiplier | 1.2x | Volume spike detection threshold | | Min Signal Strength | 4 | Minimum score required to trigger | | Crossover Lookback | 3 | Bars to consider crossover "recent" | | Min Bars Between Signals | 5 | Cooldown period between signals | --- ### Visual Elements **Chart Plots:** - Green line: 9 EMA (fast) - Red line: 21 EMA (slow) - Gray line: 200 EMA (trend) - Purple dots: VWAP **Signal Markers:** - Green triangle up + "CALL" label: Buy call signal - Red triangle down + "PUT" label: Buy put signal - Small circles: EMA crossover reference points **Info Table (Top Right):** - Real-time CALL and PUT scores - RSI, MACD, Stochastic values - VWAP and 200 EMA position - Recent crossover status - Current signal state --- ### Alerts | Alert Name | Trigger | |------------|---------| | CALL Entry | Standard call signal fires | | PUT Entry | Standard put signal fires | | Strong CALL | Call signal with score ≥ 6 | | Strong PUT | Put signal with score ≥ 6 | --- ### Recommended Usage | Setting | 0DTE Scalping | Intraday Swings | |---------|---------------|-----------------| | Timeframe | 1-2 min | 5 min | | Min Signal Strength | 5-6 | 4 | | ATR Stop Mult | 1.0 | 1.5 | | ATR TP Mult | 1.5 | 2.0 | | Option Delta | 0.40-0.50 | 0.30-0.40 | --- ### Key Improvements Over v1 1. **Requires actual crossover** - Eliminates false signals from simple trend continuation 2. **Balanced scoring** - Both directions evaluated equally, highest score wins 3. **Signal cooldown** - Prevents overtrading with minimum bar spacing 4. **Multi-indicator confluence** - 8 factors must align for signal generation 5. **Volume-candle alignment** - Volume spikes only count when matching candle direction --- ### Disclaimer This strategy is for educational purposes. Backtest thoroughly before live trading. Options trading involves significant risk of loss. Past performance does not guarantee future results.
Pine Script® strategy
by hakan_gul_79
EMA + Sessions + RSI Strategy v1.0A professional trading strategy that combines multiple technical indicators for high-probability entries. This system uses EMA crossovers, RSI zone filtering, and trend confirmation to identify optimal trading opportunities while managing risk with advanced position management tools. Key Features: ✅ Dual Entry Signals (EMA21 + EMA100 crossover conditions) ✅ Trend Filter EMA750 (trade only with the major trend) ✅ Complete Risk Management (SL 1%, TP 3% default) ✅ Trailing Stop & Breakeven (maximize profits, protect capital) ✅ Compact Statistics Table (real-time performance metrics) ✅ RSI & Session Filters (avoid low-probability setups) ✅ Optional Pyramiding (scale into winning positions) Perfect for swing trading and trend-following on any timeframe. Fully customizable to match your trading style.
Pine Script® strategy
by jake_theboss
1
AB=CD Fibonacci Strategy (One Trade at a Time) AB=CD Fibonacci Strategy - Harmonic Pattern Trading Bot Description An automated trading strategy that identifies and trades the classic AB=CD harmonic pattern, one of the most reliable geometric price formations in technical analysis. This strategy detects perfectly proportioned Fibonacci retracement setups and executes trades with precise risk-reward management. How It Works The indicator scans for the AB=CD pattern structure: Leg AB: Initial swing from pivot point A to pivot point B Leg BC: Retracement to point C (customizable Fibonacci levels) Leg CD: Mirror projection equal to the AB leg length When price touches point D, the strategy automatically enters a position with predefined take-profit and stop-loss levels based on your risk-reward ratio. Key Features One Trade at a Time: Ensures disciplined position management by allowing only one active trade per pattern Customizable Fibonacci Retracement: Set your preferred retracement range for point C (default 50% - 78.6%) Risk-Reward Control: Adjust stop-loss and take-profit multiples to match your trading plan Visual Pattern Display: Clear labeling of A, B, C, D points with pattern lines for easy identification Both Directions: Identifies bullish and bearish AB=CD patterns automatically Ideal For Swing traders on higher timeframes (4H, Daily, Weekly) Harmonic pattern traders seeking automation Traders wanting precise entry and exit rules based on Fibonacci geometry Those looking to reduce emotional trading and increase consistency Default Settings Optimized For NASDAQ futures and currency pairs Medium timeframe analysis Conservative risk management (10% position size per trade)
Pine Script® strategy
by julioperez75955
Superior-Range Bound Renko - Strategy - 11-29-25 - SignalLynxSuperior-Range Bound Renko Strategy with Advanced Risk Management Template Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙 1. Overview Welcome to Superior-Range Bound Renko (RBR) — a volatility-aware, structure-respecting swing-trading system built on top of a full Risk Management (RM) Template from Signal Lynx. Instead of relying on static lookbacks (like “14-period RSI”) or plain MA crosses, Superior RBR: Adapts its range definition to market volatility in real time Emulates Renko Bricks on a standard, time-based chart (no Renko chart type required) Uses a stack of Laguerre Filters to detect genuine impulse vs. noise Adds an Adaptive SuperTrend powered by a small k-means-style clustering routine on volatility Under the hood, this script also includes the full Signal Lynx Risk Management Engine: A state machine that separates “Signal” from “Execution” Layered exit tools: Stop Loss, Trailing Stop, Staged Take Profit, Advanced Adaptive Trailing Stop (AATS), and an RSI-style stop (RSIS) Designed for non-repainting behavior on closed candles by basing execution-critical logic on previous-bar data We are publishing this as an open-source template so traders and developers can leverage a professional-grade RM engine while integrating their own signal logic if they wish. 2. Quick Action Guide (TL;DR) Best Timeframe: 4 Hours (H4) and above. This is a high-conviction swing-trading system, not a scalper. Best Assets: Volatile instruments that still respect market structure: Bitcoin, Ethereum, Gold (XAUUSD), high-volatility Forex pairs (e.g., GBPJPY), indices with clean ranges. Strategy Type: Volatility-Adaptive Trend Following + Impulse Detection. It hunts for genuine expansion out of ranges, not tiny mean-reversion nibbles. Key Feature: Renko Emulation on time-based candles. We mathematically model Renko Bricks and overlay them on your standard chart to define: “Equilibrium” zones (inside the brick structure) “Breakout / impulse” zones (when price AND the impulse line depart from the bricks) Repainting: Designed to be non-repainting on closed candles. All RM execution logic uses confirmed historical data (no future bars, no security() lookahead). Intrabar flicker during formation is allowed, but once a bar closes the engine’s decisions are stable. Core Toggles & Filters: Enable Longs and Shorts independently Optional Weekend filter (block trades on Saturday/Sunday) Per-module toggles: Stop Loss, Trailing Stop, Staged Take Profits, AATS, RSIS 3. Detailed Report: How It Works A. The Strategy Logic: Superior RBR Superior RBR builds its entry signal from multiple mathematical layers working together. 1) Adaptive Lookback (Volatility Normalization) Instead of a fixed 100-bar or 200-bar range, the script: Computes ATR-based volatility over a user-defined period. Normalizes that volatility relative to its recent min/max. Maps the normalized value into a dynamic lookback window between a minimum and maximum (e.g., 4 to 100 bars). High Volatility: The lookback shrinks, so the system reacts faster to explosive moves. Low Volatility: The lookback expands, so the system sees a “bigger picture” and filters out chop. All the core “Range High/Low” and “Range Close High/Low” boundaries are built on top of this adaptive window. 2) Range Construction & Quick Ranges The engine constructs several nested ranges: Outer Range: rangeHighFinal – dynamic highest high rangeLowFinal – dynamic lowest low Inner Close Range: rangeCloseHighFinal – highest close rangeCloseLowFinal – lowest close Quick Ranges: “Half-length” variants of those, used to detect more responsive changes in structure and volatility. These ranges define: The macro box price is trading inside Shorter-term “pressure zones” where price is coiling before expansion 3) Renko Emulation (The Bricks) Rather than using the Renko chart type (which discards time), this script emulates Renko behavior on your normal candles: A “brick size” is defined either: As a standard percentage move, or As a volatility-driven (ATR) brick, optionally inhibited by a minimum standard size The engine tracks a base value and derives: brickUpper – top of the emulated brick brickLower – bottom of the emulated brick When price moves sufficiently beyond those levels, the brick “shifts”, and the directional memory (renkoDir) updates: renkoDir = +2 when bricks are advancing upward renkoDir = -2 when bricks are stepping downward You can think of this as a synthetic Renko tape overlaid on time-based candles: Inside the brick: equilibrium / consolidation Breaking away from the brick: momentum / expansion 4) Impulse Tracking with Laguerre Filters The script uses multiple Laguerre Filters to smooth price and brick-derived data without traditional lag. Key filters include: LagF_1 / LagF_W: Based on brick upper/lower baselines LagF_Q: Based on HLCC4 (high + low + 2×close)/4 LagF_Y / LagF_P: Complex averages combining brick structures and range averages LagF_V (Primary Impulse Line): A smooth, high-level impulse line derived from a blend of the above plus the outer ranges Conceptually: When the impulse line pushes away from the brick structure and continues in one direction, an impulse move is underway. When its direction flips and begins to roll over, the impulse is fading, hinting at mean reversion back into the range. 5) Fib-Based Structure & Swaps The system also layers in Fib levels derived from the adaptive ranges: Standard levels (12%, 23.6%, 38.2%, 50%, 61%, 76.8%, 88%) from the main range A secondary “swap” set derived from close-range dynamics (fib12Swap, fib23Swap, etc.) These Fibs are used to: Bucket price into structural zones (below 12, between 23–38, etc.) Detect breakouts when price and Laguerre move beyond key Fib thresholds Drive zSwap logic (where a secondary Fib set becomes the active structure once certain conditions are met) 6) Adaptive SuperTrend with K-Means-Style Volatility Clustering Under the hood, the script uses a small k-means-style clustering routine on ATR: ATR is measured over a fixed period The range of ATR values is split into Low, Medium, High volatility centroids Current ATR is assigned to the nearest centroid (cluster) From that, a SuperTrend variant (STK) is computed with dynamic sensitivity: In quiet markets, SuperTrend can afford to be tighter In wild markets, it widens appropriately to avoid constant whipsaw This SuperTrend-based oscillator (LagF_K and its signals) is then combined with the brick and Laguerre stack to confirm valid trend regimes. 7) Final Baseline Signals (+2 / -2) The “brain” of Superior RBR lives in the Baseline & Signal Generation block: Two composite signals are built: B1 and B2: They combine: Fib breakouts Renko direction (renkoDir) Expansion direction (expansionQuickDir) Multiple Laguerre alignments (LagF_Q, LagF_W, LagF_Y, LagF_Z, LagF_P, LagF_V) They also factor in whether Fib structures are expanding or contracting. A user toggle selects the “Baseline” signal: finalSig = B2 (default) or B1 (alternate baseline) finalSig is then filtered through the RM state machine and only when everything aligns, we emit: +2 = Long / Buy signal -2 = Short / Sell signal 0 = No new trade Those +2 / -2 values are what feed the Risk Management Engine. B. The Risk Management (RM) Engine This script features the Signal Lynx Risk Management Engine, a proprietary state machine built to separate Signal from Execution. Instead of firing orders directly on indicator conditions, we: Convert the raw signal into a clean integer (Fin = +2 / -2 / 0) Feed it into a Trade State Machine that understands: Are we flat? Are we in a long or short? Are we in a closing sequence? Should we permit re-entry now or wait? Logic Injection / Template Concept: The RM engine expects a simple integer: +2 → Buy -2 → Sell Everything else (0) is “no new trade” This makes the script a template: You can remove the Superior RBR block Drop in your own logic (RSI, MACD, price action, etc.) As long as you output +2 or -2 into the same signal channel, the RM engine can drive all exits and state transitions. Aggressive vs Conservative Modes: The input AgressiveRM (Aggressive RM) governs how we interpret signals: Conservative Mode (Aggressive RM = false): Uses a more filtered internal signal (AF) to open trades Effectively waits for a clean trend flip / confirmation before new entries Minimizes whipsaw at the cost of fewer trades Aggressive Mode (Aggressive RM = true): Reacts directly to the fresh alert (AO) pulses Allows faster re-entries in the same direction after RM-based exits Still respects your pyramiding setting; this script ships with pyramiding = 0 by default, so it will not stack multiple positions unless you change that parameter in the strategy() call. The state machine enforces discipline on top of your signal logic, reducing double-fires and signal spam. C. Advanced Exit Protocols (Layered Defense) The exit side is where this template really shines. Instead of a single “take profit or stop loss,” it uses multiple, cooperating layers. 1) Hard Stop Loss A classic percentage-based Stop Loss (SL) relative to the entry price. Acts as a final “catastrophic protection” layer for unexpected moves. 2) Standard Trailing Stop A percentage-based Trailing Stop (TS) that: Activates only after price has moved a certain percentage in your favor (tsActivation) Then trails price by a configurable percentage (ts) This is a straightforward, battle-tested trailing mechanism. 3) Staged Take Profits (Three Levels) The script supports three staged Take Profit levels (TP1, TP2, TP3): Each stage has: Activation percentage (how far price must move in your favor) Trailing amount for that stage Position percentage to close Example setup: TP1: Activate at +10% Trailing 5% Close 10% of the position TP2: Activate at +20% Trailing 10% Close another 10% TP3: Activate at +30% Trailing 5% Close the remaining 80% (“runner”) You can tailor these quantities for partial scaling out vs. letting a core position ride. 4) Advanced Adaptive Trailing Stop (AATS) AATS is a sophisticated volatility- and structure-aware stop: Uses Hirashima Sugita style levels (HSRS) to model “floors” and “ceilings” of price: Dungeon → Lower floors → Mid → Upper floors → Penthouse These levels classify where current price sits within a long-term distribution. Combines HSRS with Bollinger-style envelopes and EMAs to determine: Is price extended far into the upper structure? Is it compressed near the lower ranges? From this, it computes an adaptive factor that controls how tight or loose the trailing level (aATS / bATS) should be: High Volatility / Penthouse areas: Stop loosens to avoid getting wicked out by inevitable spikes. Low Volatility / compressed structure: Stop tightens to lock in and protect profit. AATS is designed to be the “smart last line” that responds to context instead of a single fixed percentage. 5) RSI-Style Stop (RSIS) On top of AATS, the script includes a RSI-like regime filter: A McGinley Dynamic mean of price plus ATR bands creates a dynamic channel. Crosses above the top band and below the lower band change a directional state. When enabled (UseRSIS): RSIS can confirm or veto AATS closes: For longs: A shift to bearish RSIS can force exits sooner. For shorts: A shift to bullish RSIS can do the same. This extra layer helps avoid over-reactive stops in strong trends while still respecting a regime change when it happens. D. Repainting Protection Many strategies look incredible in the Strategy Tester but fail in live trading because they rely on intrabar values or future-knowledge functions. This template is built with closed-candle realism in mind: The Risk Management logic explicitly uses previous bar data (open , high , low , close ) for the key decisions on: Trailing stop updates TP triggers SL hits RM state transitions No security() lookahead or future-bar access is used. This means: Backtest behavior is designed to match what you can actually get with TradingView alerts and live automation. Signals may “flicker” intrabar while the candle is forming (as with any strategy), but on closed candles, the RM decisions are stable and non-repainting. 4. For Developers & Modders We strongly encourage you to mod this script. To plug your own strategy into the RM engine: Look for the section titled: // BASELINE & SIGNAL GENERATION You will see composite logic building B1 and B2, and then selecting: baseSig = B2 altSig = B1 finalSig = sigSwap ? baseSig : altSig You can replace the content used to generate baseSig / altSig with your own logic, for example: RSI crosses MACD histogram flips Candle pattern detectors External condition flags Requirements are simple: Your final logic must output: 2 → Buy signal -2 → Sell signal 0 → No new trade That output flows into the RM engine via finalSig → AlertOpen → state machine → Fin. Once you wire your signals into finalSig, the entire Risk Management system (Stops, TPs, AATS, RSIS, re-entry logic, weekend filters, long/short toggles) becomes available for your custom strategy without re-inventing the wheel. This makes Superior RBR not just a strategy, but a reference architecture for serious Pine dev work. 5. About Signal Lynx Automation for the Night-Shift Nation 🌙 Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management. We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to: Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search. License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Pine Script® strategy
by SignalLynx
Classic Wave: The Easy WayClassic Wave is a simple strategy with few rules and no over-optimization. Despite its simplicity, it is backed by a nearly century-long historical track record, delivering excellent returns on the weekly chart of the SPX (TVC). I also recommend observing its strong performance on the SPY (weekly), which is the perfect instrument for executing this strategy with futures in the future. Strategy Rules and Parameters When a bullish candle closes above the 20-period EMA, we place the stop-loss below the low of that candle and target a risk-reward ratio of 1:1. A second, more profitable variant is to change the risk-reward ratio in the code to 2:1. -Total capital: $10,000 -We use 10% of the total capital per trade. -Commissions: 0.1% per trade. The code construction is simple and very well detailed within the script itself. Risk-Reward Ratio 2:1 Using a 2:1 risk-reward ratio reduces the win rate but significantly increases profitability. Across the full historical data of the SPX index (weekly), the system would have generated 236 trades, with a win rate of 51.27% and a profit factor of 2.53. From January 1, 2023, to November 28, 2025, the system would have generated 5 trades, with an 80% win rate and a profit factor of 9.244. What makes this system so good? -It takes advantage of the long-term bullish bias of U.S. stock indices and traditional markets. -It filters out a lot of noise thanks to the weekly timeframe. -It uses simple parameters with no over-optimization. Final Notes: This strategy has consistently outperformed the returns offered by most traditional funds over time, with fewer drawdowns and significantly less stress. I hope you like it.
Pine Script® strategy
by OldWave96
1