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Smart TP Manager V.1.1 (SL trail par TP)🔹 Smart TP Manager V1.1 – Trade Management Advanced A powerful TradingView tool designed to enhance trade management and protect profits. Features: Automatically detect Long/Short signals using EMA crossovers, RSI filter, higher-timeframe EMA trend, and ADX strength. Calculate and display a dynamic Stop Loss based on ATR. Automatically set TP1, TP2, TP3 with advanced Breakeven management: SL moves to Entry after TP1 hit SL moves to TP1 after TP2 hit, securing partial profits Track your performance with a comprehensive statistics table (Win/Loss, BE, win rate, net profit in R). Clear visual display of entries, SL, and TPs using colored lines and labels. Receive automatic alerts for every signal and target reached. Optional SL trailing feature to secure profits progressively as targets are hit. 📊 Smart TP Manager V1.1 is your assistant for risk control, trade optimization, and profit protection on TradingView.
Wskaźnik Pine Script®
od sufian97
1
Cycle-Synced Channel Breakout📌 Cycle-Synced Channel Breakout – Detect Breakouts Confirmed by Candles and Momentum Cycles 📖 Overview The Cycle-Synced Channel Breakout indicator is a precision breakout detection tool that combines the power of: • Adaptive Keltner Channels • Dominant Cycle Period Analysis (Ehlers-inspired) • Candlestick Pattern Recognition (Engulfing) This multi-layered approach helps identify true breakout opportunities by filtering out noise and false signals, making it ideal for swing traders and intraday traders seeking high-probability directional moves. ⚙️ How It Works 1. Keltner Channel Envelope A dynamic volatility channel based on the EMA and ATR defines the upper and lower bounds of price movement. 2. Engulfing Candle Detection The script detects strong bullish and bearish engulfing patterns, which often signal trend reversals or momentum continuations. 3. Dominant Cycle Momentum (Ehlers-inspired) Using a smoothed power oscillator derived from a detrended price series, the indicator assesses whether momentum is accelerating during the breakout — filtering out weak moves. 4. Signal Confirmation Logic A signal is only shown when: • An engulfing pattern is detected, and • Price breaks out of the Keltner Channel, and • Momentum (cycle power) is rising 5. Visual Feedback • Breakout signals are plotted with “BUY” or “SELL” labels • Faded green/red background highlights confirmed breakouts • Optional display of engulfing candles with triangle markers ⸻ 🛠️ Key Features • ✅ Adaptive Keltner Channels • ✅ Bullish/Bearish Engulfing Candle Recognition • ✅ Ehlers-style Cycle Momentum Confirmation • ✅ Background highlights for confirmed breakouts • ✅ Optional candle pattern visualization • ✅ Lightweight and Pine v6 compatible ⸻ 🧪 Inputs • Keltner Length – EMA period for channel basis • Multiplier – Multiplied with ATR to determine band width • Cycle Lookback – Used to calculate smoothed cycle power • Show Engulfing Candles? – Toggles candlestick signals • Show Breakout Signals? – Toggles breakout labels and backgrounds ⸻ 🧠 How to Use • Look for “BUY” or “SELL” labels when: • An engulfing candle breaks through the Keltner Channel • Cycle momentum confirms strength behind the move • The background color will faintly highlight the breakout direction. • Use in combination with other trend or volume indicators for added confluence. 🔒 Notes • This indicator is not repainting. • It is designed for educational and research purposes only. • Works across all timeframes and asset classes (stocks, crypto, forex, etc.)
Wskaźnik Pine Script®
od TradeTechanalysis
GME Cycle Predictor# 🚀 GME Cycle Predictor - Advanced Technical Analysis Tool **Comprehensive GameStop (GME) cycle tracking indicator based on historical patterns and market mechanics.** ## 📊 **What This Indicator Does:** - Tracks **147-day quarterly cycles** from the January 28, 2021 squeeze - Monitors the **1704-day major cycle** (the theoretical "big one") - Identifies **T+35 FTD settlement periods** for forced buying pressure - Marks **quarterly OPEX** and **swap roll dates** - Provides **real-time buy/sell recommendations** based on cycle timing ## 🎯 **Key Features:** ### **Visual Cycle Markers:** - 🔴 **Red Circles**: 147-day quarterly cycles - 🟡 **Yellow Diamonds**: 1704-day major cycle (CRITICAL) - 🟢 **Green Squares**: T+35 FTD settlement dates - 🟠 **Orange Triangles**: Quarterly OPEX periods - 🟣 **Purple X's**: Swap roll periods ### **Smart Trading Signals:** - **🚀 MAJOR BUY**: 10+ days before 1704-day cycle - **📈 BUY ZONE**: 5-10 days before 147-day cycle - **💚 FTD BUY**: 2-5 days before T+35 settlement - **📉 SELL ZONE**: Day of cycle completion - **⏳ WAIT**: No active signals ## 📈 **How to Use:** ### **For Swing Trading:** 1. **BUY** when cheat sheet shows active buy signals 2. **SELL** on cycle completion days 3. **HODL** through the 1704-day major cycle ### **For Long-term Investors:** - Monitor the **1704-day countdown** (major cycle theory) - Accumulate during **confluence periods** (multiple cycles aligning) - Use **147-day cycles** for entry/exit timing ## 🔧 **Technical Foundation:** - Based on **Fail-to-Deliver (FTD)** settlement mechanics - **Quarterly swap theory** and institutional obligations - **Options expiration (OPEX)** pressure points - **Historical pattern recognition** from 2021 squeeze ## ⚡ **Real-Time Features:** - **Live countdown timers** to next major cycles - **Dynamic trading recommendations** - **Confluence detection** when multiple cycles align - **Volume confirmation** for signal validation - **Clean visual design** with minimal chart clutter ## 🎯 **Perfect For:** - GME traders following cycle theory - Technical analysts studying market mechanics - Swing traders using institutional obligation cycles - Anyone tracking the theoretical "MOASS" timing ## ⚠️ **Important Notes:** - This indicator is based on **theoretical cycle patterns** - Past performance does not guarantee future results - Always use proper risk management - The 1704-day cycle is **unproven theory** - trade responsibly - Best used in conjunction with other technical analysis ## 🚀 **Special Feature:** The **1704-day major cycle** countdown tracks the theoretical "Mother of All Short Squeezes" (MOASS) timing, calculated from the January 28, 2021 squeeze peak. This is the cycle many GME theorists believe will trigger the ultimate price movement. --- **Perfect for both beginners and advanced traders who want to incorporate GME cycle theory into their technical analysis toolkit.** *Disclaimer: This is a theoretical analysis tool based on community research. Not financial advice. Trade at your own risk.*
Wskaźnik Pine Script®
od Timmy741
EMA Separation (LFZ Scalps) v6 — Early TriggerPlots the percentage distance between a fast and a slow EMA (default 9 & 21) to gauge trend strength and filter out choppy London Flow Zone breakouts. • Gray – EMAs nearly flat (low momentum, avoid trades) • Orange – early trend building • Green/Red – strong directional momentum Useful for day-traders: wait for the gap to widen beyond your chosen threshold (e.g., 0.25 %) before entering a breakout. Adjustable EMA lengths and alert when the separation exceeds your “strong trend” level.
Wskaźnik Pine Script®
od jamesmchugh44
Simplified ATR Trailing Stop (Long & Short, Custom TF + Stop)This indicator plots a dynamic ATR-based trailing stop that adapts to price volatility and keeps you protected whether you’re trading long or short. It’s lightweight, customisable, and designed for traders who want clean risk management without unnecessary complexity. ✨ Key Features: 📅 Custom Entry Date & Price – choose the exact day you want the trailing stop to begin, or let it auto-start from the close. 🔀 Long or Short Mode – flip between bullish and bearish trade setups. ⏱️ Custom Timeframe Support – calculate ATR stops on any higher/lower timeframe (from 10m to 1M) for maximum flexibility. 📏 ATR-Based Logic – trailing stop adjusts dynamically using a multiplier of ATR, keeping stops adaptive to volatility. 🎯 Custom First-Day Stop – set a different ATR factor for day one to handle entries more cautiously. ✅ Stop Trigger Mode – choose between: Stop on Wick Breach (default intraday aggressiveness) Stop on Candle Close (extra confirmation, fewer false stops). 📊 How to Use: Set your entry date and price (or leave price = 0 to use that day’s close). Select trade direction (Long or Short). Pick your ATR period, multiplier, and timeframe. Watch the trailing stop line update automatically until it’s breached. This tool is great for swing traders, intraday strategists, and anyone who wants a simple yet powerful trailing stop that adapts to price volatility.
Wskaźnik Pine Script®
od AugustineTheCat
Smart TP Manager V.1.0🔹 Smart TP Manager V1.0 is a complete trade management tool for TradingView. It allows you to: Automatically detect Long/Short signals using EMA crossovers, RSI filter, higher-timeframe EMA trend, and ADX. Calculate and display a dynamic Stop Loss based on ATR. Automatically set TP1, TP2, TP3 with Breakeven management (risk set to zero after TP1). Track performance with a statistics table (Win/Loss, BE, win rate, net profit in R). Get a clear visual display of entries, SL, and TP with colored lines and labels. Receive automatic alerts for every signal or target reached. 📊 It’s a risk and trade exit management assistant designed to optimize your trades and secure your profits.
Wskaźnik Pine Script®
od sufian97
Lakshmi - Vajra Energy Signal (VES)Vajra Energy Signal (VES) is an advanced volume analysis indicator that detects energy accumulated inside the market. When assessing the strength of trading activity, conventional practice looks at the magnitude of volume; VES is designed with the understanding that the same volume can have different meanings depending on the price range. VES analyzes the complex relationship between price movement and volume with a proprietary algorithm and can detect internal market activities that are invisible from surface‑level price action, visualizing the characteristic whereby the value rises before a breakout. In other words, VES views the market as an “energy system.” In the energy accumulation phase, relatively high volume occurs relative to the price range, and in the energy release phase, the stored energy is emitted as high volatility in price, that is, a breakout—this is the core concept on which VES is established. ⚡️ Basic Demonstration i.imgur.com As you can see in the image above, VES simply displays the highs and lows of energy stored in the market as a thin line in a separate panel. It is easy for traders to understand its intuitive patterns: it rises when hidden buying accumulation or selling activity continue and sink when a price breakout occurs. It can be applied across symbols and markets (stocks, commodities, cryptocurrencies, spot, and futures). While reducing clutter in price scale labels, it also supports dynamic autoscaling. ⚡️ Practical Usage VES is expected to be used for the following purposes. - Entry signal When the VES value continues to rise—i.e., during energy accumulation—it can be considered on standby for a breakout. After a breakout, a trader can confirm the trend direction and enter. - Exit signal If the VES value rises during a trend, consider the possibility of a reversal and consider taking profits. - Risk management If the VES value remains elevated for a long period, regard it as increased market uncertainty and an approaching breakout; adopt a cautious trading strategy to prepare for higher volatility and adjust position size. For example, in the BINANCE:SOLUSDT daily chart below, VES clearly shows how it functions in short‑term trading. i.imgur.com In September 2023, when the price was moving around 20 USDT, VES formed frequent small spikes. These early spikes suggest that market participants were still in a wait‑and‑see mode and that small‑scale accumulation was being conducted intermittently. A decisive change came in early October 2023. While the price still stagnated in the 20–25 USDT range, VES suddenly formed a huge spike. The scale of this spike was far larger than those in September 2023, clearly suggesting that hidden substantial trading activities by large investors had begun. In mid‑October 2023, the price began to rise. It climbed stepwise from 25 USDT to 40 USDT, then to 60 USDT and 75 USDT, and then surged to above 120 USDT within just a few weeks. This suggests that the energy built in the buy accumulation phase in early October 2023 was converted into price appreciation. Therefore, after such a large VES signal is observed and the price breaks upward, entering a long position could have been profitable. A large VES reaction is not only a quiet “buy signal” as in the example above; it can also be a “sell signal.” Such a case is explained below using an example on the BTC chart. i.imgur.com This BITSTAMP:BTCUSD 4‑hour chart is a valuable example showing how VES detects top formation on a short timeframe. In the first half of February 2024, the price moved in a relatively narrow 96,000–99,000 USD range. During this period, VES remained stable at low levels, and the market continued a calm uptrend. The first sign appeared on February 16, 2024. While the price still held around 97,000 USD, VES formed a clearly identifiable small spike. This implied that some large investors had begun to take profits, or that new sellers had started to build short positions. However, at that point, the impact on price was limited, and many traders may have overlooked the signal. The decisive turning point came on February 23, 2024. With the price moving around 98,000 USD, VES suddenly formed a huge spike. The scale of this spike was far larger than previous moves, clearly indicating that significant energy was accumulating. Importantly, even at this moment the price still remained at the highs. On the surface, price barely moved and the bull trend appeared intact, but VES detected a major internal change underway. On February 24, 2024, the price collapsed and began to fall. It dropped about 15% from 97,000 USD to 82,000 USD in a few days. The speed and magnitude of this decline corroborated the quiet “sell signal” indicated by the VES spikes. The key lesson from this chart is that a VES spike does not necessarily mean buy accumulation. A large VES spike formed at high prices may instead indicate a distribution phase—that is, large investors exiting or building short positions. When the price is at elevated levels, a VES spike should be considered not only as a precursor to further upside but also as a warning of potential downside. From a trading‑strategy perspective, the huge VES spike on February 23, 2024 was a clear signal to exit or to consider entering short positions. At that point, traders should have either closed long positions or to consider building a short position. The moment when price started to decline from its peak was exactly the entry timing for a short. On the 4‑hour timeframe, changes in VES appear faster and more dramatically. While this allows more agile responses, the risk of false signals is also higher; therefore, confirmation on other timeframes and comprehensive judgment with price action are essential. VES is a powerful tool for reading internal market activities, and this chart clearly shows that its interpretation requires flexibility that takes into account market conditions and price location. ⚡️ Parameter Settings Strength 1: The lower the number, the more it emphasizes responses closer to the present timeframe; the higher the number, the more it emphasizes responses farther from the present timeframe. 5 is recommended. Strength 2: The lower the number, the greater the volatility of the value; the higher the number, the smaller the volatility. 5 is recommended. Scale: Adjusts the display scale. −30 is recommended. ⚡️ Conclusion Vajra Energy Signal (VES) visualizes the cycle of energy accumulation in the market from the relative relationship between price range and volume, detecting hidden activities by market participants that conventional volume analysis cannot capture. VES serves as a powerful auxiliary tool for early detection of turning points, enabling deeper market understanding and more accurate timing decisions. As the examples show, there is a possibility of sensing major price movements in advance. When using VES, flexible interpretation according to market environment and price location is required, and it demonstrates its true value when combined with price action and other analysis methods such as support/resistance. ⚡️ Important Notes - VES is a tool that infers internal market energy; it does not guarantee trades or suggest future results. - We strongly recommend using it together with price action analysis and support/resistance. - Confirmation across different timeframes improves reliability. - Effectiveness may vary depending on market conditions and liquidity. - Very illiquid instruments or newly listed assets may produce more noise. ⚡️ How to Get Access This indicator is Public Invite‑Only. If you would like access, please apply by following the Author’s Instructions.
Wskaźnik Pine Script®
od lakshmivibha
MACD (The Moving Average Convergence Divergence)The Moving Average Convergence Divergence (MACD) is a momentum indicator used in technical analysis to identify trends, measure their strength, and signal potential reversals. It is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA, creating the MACD line. A 9-period EMA of the MACD line, known as the signal line, is then plotted to generate buy or sell signals. Positive MACD values suggest upward momentum, while negative values indicate downward momentum. Traders often watch for crossovers, divergences, and movements relative to the zero line to make informed decisions.
Wskaźnik Pine Script®
od BFAS76
BOCS AdaptiveBOCS Adaptive Strategy - Automated Volatility Breakout System WHAT THIS STRATEGY DOES: This is an automated trading strategy that detects consolidation patterns through volatility analysis and executes trades when price breaks out of these channels. Take-profit and stop-loss levels are calculated dynamically using Average True Range (ATR) to adapt to current market volatility. The strategy closes positions partially at the first profit target and exits the remainder at the second target or stop loss. TECHNICAL METHODOLOGY: Price Normalization Process: The strategy begins by normalizing price to create a consistent measurement scale. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). The current close price is then normalized using the formula: (close - lowest_low) / (highest_high - lowest_low). This produces values between 0 and 1, allowing volatility analysis to work consistently across different instruments and price levels. Volatility Detection: A 14-period standard deviation is applied to the normalized price series. Standard deviation measures how much prices deviate from their average - higher values indicate volatility expansion, lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() functions to track when volatility reaches peaks and troughs over the detection length period (default 14 bars). Channel Formation Logic: When volatility crosses from a high level to a low level, this signals the beginning of a consolidation phase. The strategy records this moment using ta.crossover(upper, lower) and begins tracking the highest and lowest prices during the consolidation. These become the channel boundaries. The duration between the crossover and current bar must exceed 10 bars minimum to avoid false channels from brief volatility spikes. Channels are drawn using box objects with the recorded high/low boundaries. Breakout Signal Generation: Two detection modes are available: Strong Closes Mode (default): Breakout occurs when the candle body midpoint math.avg(close, open) exceeds the channel boundary. This filters out wick-only breaks. Any Touch Mode: Breakout occurs when the close price exceeds the boundary. When price closes above the upper channel boundary, a bullish breakout signal generates. When price closes below the lower boundary, a bearish breakout signal generates. The channel is then removed from the chart. ATR-Based Risk Management: The strategy uses request.security() to fetch ATR values from a specified timeframe, which can differ from the chart timeframe. For example, on a 5-minute chart, you can use 1-minute ATR for more responsive calculations. The ATR is calculated using ta.atr(length) with a user-defined period (default 14). Exit levels are calculated at the moment of breakout: Long Entry Price = Upper channel boundary Long TP1 = Entry + (ATR × TP1 Multiplier) Long TP2 = Entry + (ATR × TP2 Multiplier) Long SL = Entry - (ATR × SL Multiplier) For short trades, the calculation inverts: Short Entry Price = Lower channel boundary Short TP1 = Entry - (ATR × TP1 Multiplier) Short TP2 = Entry - (ATR × TP2 Multiplier) Short SL = Entry + (ATR × SL Multiplier) Trade Execution Logic: When a breakout occurs, the strategy checks if trading hours filter is satisfied (if enabled) and if position size equals zero (no existing position). If volume confirmation is enabled, it also verifies that current volume exceeds 1.2 times the 20-period simple moving average. If all conditions are met: strategy.entry() opens a position using the user-defined number of contracts strategy.exit() immediately places a stop loss order The code monitors price against TP1 and TP2 levels on each bar When price reaches TP1, strategy.close() closes the specified number of contracts (e.g., if you enter with 3 contracts and set TP1 close to 1, it closes 1 contract). When price reaches TP2, it closes all remaining contracts. If stop loss is hit first, the entire position exits via the strategy.exit() order. Volume Analysis System: The strategy uses ta.requestUpAndDownVolume(timeframe) to fetch up volume, down volume, and volume delta from a specified timeframe. Three display modes are available: Volume Mode: Shows total volume as bars scaled relative to the 20-period average Comparison Mode: Shows up volume and down volume as separate bars above/below the channel midline Delta Mode: Shows net volume delta (up volume - down volume) as bars, positive values above midline, negative below The volume confirmation logic compares breakout bar volume to the 20-period SMA. If volume ÷ average > 1.2, the breakout is classified as "confirmed." When volume confirmation is enabled in settings, only confirmed breakouts generate trades. INPUT PARAMETERS: Strategy Settings: Number of Contracts: Fixed quantity to trade per signal (1-1000) Require Volume Confirmation: Toggle to only trade signals with volume >120% of average TP1 Close Contracts: Exact number of contracts to close at first target (1-1000) Use Trading Hours Filter: Toggle to restrict trading to specified session Trading Hours: Session input in HHMM-HHMM format (e.g., "0930-1600") Main Settings: Normalization Length: Lookback bars for high/low calculation (1-500, default 100) Box Detection Length: Period for volatility peak/trough detection (1-100, default 14) Strong Closes Only: Toggle between body midpoint vs close price for breakout detection Nested Channels: Allow multiple overlapping channels vs single channel at a time ATR TP/SL Settings: ATR Timeframe: Source timeframe for ATR calculation (1, 5, 15, 60, etc.) ATR Length: Smoothing period for ATR (1-100, default 14) Take Profit 1 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 2.0) Take Profit 2 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 3.0) Stop Loss Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 1.0) Enable Take Profit 2: Toggle second profit target on/off VISUAL INDICATORS: Channel boxes with semi-transparent fill showing consolidation zones Green/red colored zones at channel boundaries indicating breakout areas Volume bars displayed within channels using selected mode TP/SL lines with labels showing both price level and distance in points Entry signals marked with up/down triangles at breakout price Strategy status table showing position, contracts, P&L, ATR values, and volume confirmation status HOW TO USE: For 2-Minute Scalping: Set ATR Timeframe to "1" (1-minute), ATR Length to 12, TP1 Multiplier to 2.0, TP2 Multiplier to 3.0, SL Multiplier to 1.5. Enable volume confirmation and strong closes only. Use trading hours filter to avoid low-volume periods. For 5-15 Minute Day Trading: Set ATR Timeframe to match chart or use 5-minute, ATR Length to 14, TP1 Multiplier to 2.0, TP2 Multiplier to 3.5, SL Multiplier to 1.2. Volume confirmation recommended but optional. For Hourly+ Swing Trading: Set ATR Timeframe to 15-30 minute, ATR Length to 14-21, TP1 Multiplier to 2.5, TP2 Multiplier to 4.0, SL Multiplier to 1.5. Volume confirmation optional, nested channels can be enabled for multiple setups. BACKTEST CONSIDERATIONS: Strategy performs best during trending or volatility expansion phases Consolidation-heavy or choppy markets produce more false signals Shorter timeframes require wider stop loss multipliers due to noise Commission and slippage significantly impact performance on sub-5-minute charts Volume confirmation generally improves win rate but reduces trade frequency ATR multipliers should be optimized for specific instrument characteristics COMPATIBLE MARKETS: Works on any instrument with price and volume data including forex pairs, stock indices, individual stocks, cryptocurrency, commodities, and futures contracts. Requires TradingView data feed that includes volume for volume confirmation features to function. KNOWN LIMITATIONS: Stop losses execute via strategy.exit() and may not fill at exact levels during gaps or extreme volatility request.security() on lower timeframes requires higher-tier TradingView subscription False breakouts inherent to breakout strategies cannot be completely eliminated Performance varies significantly based on market regime (trending vs ranging) Partial closing logic requires sufficient position size relative to TP1 close contracts setting RISK DISCLOSURE: Trading involves substantial risk of loss. Past performance of this or any strategy does not guarantee future results. This strategy is provided for educational purposes and automated backtesting. Thoroughly test on historical data and paper trade before risking real capital. Market conditions change and strategies that worked historically may fail in the future. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions. ACKNOWLEDGMENT & CREDITS: This strategy 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 and sharing this innovative technique with the TradingView community. The enhancements added to the original concept include automated trade execution, multi-timeframe ATR-based risk management, partial position closing by contract count, volume confirmation filtering, and real-time position monitoring.
Wskaźnik Pine Script®
od TradeManager_PRO
21
Maple Algorithm_GOLDMaple Algorithm – AI-Powered Gold Indicator Maple Algorithm is an AI-inspired indicator designed specifically around the price behavior of Gold (XAUUSD). It automatically calculates and plots take-profit (TP) and stop-loss (SL) levels based on dynamic market conditions, allowing traders to capture precise entries and exits. ✨ Key Features AI-driven adaptive model trained on Gold’s market structure Auto-generated TP/SL zones for precision trading Compatible with your own strategies — scale from 1:2 RRR up to even higher setups Optimized for scalping and short-term momentum bursts ⚠️ Disclaimer: This indicator is for educational and research purposes only. It does not guarantee future results. Always test thoroughly before applying to live trading.
Wskaźnik Pine Script®
od Maple_Algorithm
1
RSI(7) + MACD ZoneTitle: RSI(7) + MACD Zone Combo Description: This indicator combines RSI (7) and MACD (12,26,9) into a single panel with a unified scale for easier analysis. RSI (7) is plotted in white and automatically turns red when the market reaches overbought (>70) or oversold (<30) conditions. MACD is normalized to align with the RSI scale (0–100). A value of 50 represents MACD = 0. Above 50 (teal) indicates positive momentum. Below 50 (red) indicates negative momentum. This combination allows traders to quickly identify when short-term RSI conditions align with overall momentum shifts from MACD. How to use: Look for potential buy opportunities when RSI is oversold (<30) and MACD is above 50 (positive momentum). Look for potential sell opportunities when RSI is overbought (>70) and MACD is below 50 (negative momentum). Use in conjunction with price action and risk management — not as a standalone signal.
Wskaźnik Pine Script®
od magassammm
ATR Enhanced [DCAUT]█ ATR Enhanced 📊 OVERVIEW Standard ATR uses only RMA smoothing, while ATR Enhanced provides 20+ professional smoothing algorithms , offering precise volatility measurement solutions for different trading scenarios and market environments. 💡 CORE VALUE - 20+ algorithm choices : SMA, EMA, RMA, WMA, HMA, T3, KAMA, FRAMA, Kalman Filter, etc. 📋 PARAMETER SETUP ATR Length : Calculation period (default: 14) Moving Average Type : Choose the most suitable smoothing method from 20+ algorithms 🎨 COLOR CODING Green : Rising volatility Red : Falling volatility
Wskaźnik Pine Script®
od DCAUT
Morning Peak FadeMorning Peak Fade is an intraday analysis tool that identifies and measures the probability of early session rallies turning into sharp pullbacks. 📊 Core Idea • Many stocks surge after the open, reaching an intraday peak before fading lower. • This script anchors at the first significant morning high and tracks the drawdowns that follow within a customizable time window. • It provides: • Probability of a fade after the peak • Average and maximum drawdown statistics • Event-day hit rate (how often such setups occur) 🎯 Use Cases • Spot potential “fade setups” where early enthusiasm exhausts quickly. • Quantify how often chasing the morning high turns into a losing trade. • Backtest opening range failure or fade strategies with hard data. ⚙️ Features • Customizable thresholds for the initial surge (relative to prior close). • Marks the peak (max) and subsequent low (min) used in calculations. • Draws a reference line at the surge threshold to visualize when the fade triggers. • Outputs summary stats directly on the chart.
Wskaźnik Pine Script®
od Zach_Li
1
Premarket Power MovePremarket Power Move is an intraday research tool that tracks what happens after strong premarket or opening gaps. 📊 Core Idea • When a stock opens +X% above the prior close, it often attracts momentum traders. • This script measures whether the stock continues to follow through higher or instead fades back down within the first trading hour. • It calculates: • The probability of a post-gap rally vs. a drawdown • Average and maximum retracements after the surge • Event-day hit rate (how many days actually triggered the condition) 🎯 Use Cases • Identify “gap-and-go” opportunities where strong premarket strength leads to further gains. • Spot potential fade setups where early enthusiasm quickly reverses. • Backtest your intraday strategies with objective statistics instead of gut feeling. ⚙️ Features • Customizable thresholds for premarket/open surge (%) and follow-through window (minutes). • Marks the chart with reference lines: • Prior close • Surge threshold (e.g. +6%) • Intraday high/low used for probability calculations. • Outputs summary statistics (probabilities, averages, counts) directly on the chart. 🔔 Note This is not a buy/sell signal generator. It is a probability and behavior analysis tool that helps traders understand how often strong premarket gaps continue vs. fade.
Wskaźnik Pine Script®
od Zach_Li
1
Elite Entries Range Setter Premium Elite Entries Range Setter **What it is** Elite Entries Range Setter builds a simple but sturdy market map: a predictive range on a higher timeframe, mid-levels between those lines, and **filtered breakout signals** plus **auto-drawn support/resistance zones** (with optional retest tags). It’s designed for day traders who want structure without noise—and swing traders who like to anchor to a higher-timeframe heartbeat. What it gives you * **Predictive range grid** (R2 / R1 / AVG / S1 / S2) computed from your chosen TF with adaptive ATR logic. * **MTF signal engine**: breakouts are detected on your selected *Signal TF* while ranges come from the range TF—clean separation of “map” vs “trigger.” * **Mid-lines** between range levels for bounce/continuation context (visual only here). * **Auto Zones**: when price crosses a key line (range or mid), a shaded support/resistance box is created. Zones extend until broken; they dim when invalidated. * **Optional Retests**: label when price re-tests a fresh zone and rejects/holds (cooldowns included). * **Stacked Filters**: RSI, Volume EMA, and MA direction—use one, some, or all to tighten signals. * **Session awareness**: choose to limit signals/zone creation to New York hours. * **Alerts**: one consolidated breakout alert + dedicated zone-retest alerts. --- How to use (the 60-second setup) 1. **Pick your Range TF** (default 15m). This sets the “grid” (R2/R1/AVG/S1/S2). 2. **Choose your Signal TF** (can be same as chart or different). This is where breakouts are confirmed. 3. **Turn on filters** to taste: * **RSI** for momentum extremes (OB/OS configurable) * **Volume EMA** for participation (Above/Below) * **MA direction** for trend alignment (EMA/SMA/HMA, configurable length) 4. **Zones**: leave enabled to auto-box supports/resistances when lines are crossed. Adjust size by **Ticks** or **ATR ×** for instrument sensitivity. 5. **Alerts**: add “**Grid Breakout (Filtered)**” for trade triggers, and “Zone Bullish/Bearish Retest” if you trade pullbacks. --- Inputs that matter * **Range Setter** * *ATR Length / Factor*: controls how wide the predictive range breathes. * *Timeframe*: TF used to compute the grid (e.g., 15m). * *Candlestick Type*: Traditional or Heikin-Ashi source. * **Filter Options** * *RSI*: Period + OB/OS thresholds. * *Volume EMA*: Period + Above/Below condition. * *MA Filter*: EMA/SMA/HMA + length; must be above (long bias) or below (short bias). * **Trading Grid** * *Signal TF*: where breakouts are detected. * *Use MTF Signals*: toggle to confirm on a different TF than your chart. * *Session Filter (NY)*: gate signals to the cash session. * **Zones** * *Only Create During NY Session*: keep structures “day-true.” * *Size Mode*: **Ticks** (precise) or **ATR ×** (adaptive). * *Retests*: on/off, min bars between retests, label size, colors. * *Avoid Dupes at Same Level*: keeps the chart tidy. --- Signals & Alerts * **Breakout UP / DN**: confirmed cross of a mid or range line **and** all active filters pass. * *Create alert:* **Grid Breakout (Filtered)** * **Zone Retests**: optional labels/alerts when price wicks into a fresh zone and closes back out in the expected direction. * *Create alerts:* **Zone Bullish Retest**, **Zone Bearish Retest** *Pro tip:* Because the range grid comes from a (possibly) higher TF and signals can be confirmed on a different TF, you avoid most LTF chop while still reacting quickly. --- Good habits (a trader’s creed) * **Trust, but verify.** Filters help, not save. Read the tape: wicks, spreads, and time-of-day matter. * **Let sessions speak.** NY hours tend to carry the volume; gating to session can reduce false pops. * **Adjust zone size to the instrument.** Use ATR × on volatile tickers/futures; use Ticks for clean FX/Index contracts. * **Mind the load.** If you enable many zones on very low TFs, consider trimming history or increasing tick size for performance. --- Repainting & behavior notes * Range levels are computed with `request.security(..., lookahead=off)` and only update as the higher-timeframe bar evolves/finishes. * Breakout checks also use `lookahead=off`. Signals confirm on the **close** of the chosen *Signal TF*. * Zone creation happens on **confirmed bars** to reduce flicker. * No backtest or strategy orders—this is an **indicator** for discretionary or rule-based trading with external execution. --- Who it’s for Day traders who want **clear structure + filtered triggers**. Swing traders who anchor to a higher-TF grid but demand timely confirmation. Anyone tired of random “buy/sell” confetti and ready for a **map, a method, and a mute button** for the noise. --- Final word Markets are poetry and math—this tool sketches the meter so you can hear the rhyme. Keep risk first, keep faith in your process, and let disciplined edges do the talking. ✨ *Educational use only. Not financial advice. Trade responsibly.*
Wskaźnik Pine Script®
od MooreMuzik
2
GME Cycle PredictorTitle: GME Cycle Predictor Short Title: GME Cycle Author: Version: Pine Script @version=6 Published: September 25, 2025 Category: Cycle Analysis, Technical Analysis Asset Focus: GameStop (GME) OverviewThe "GME Cycle Predictor" is a specialized cycle analysis tool designed for GameStop (GME) traders, identifying key cyclical patterns and confluence points that may signal significant price movements. Built on Pine Script @version=6, this indicator leverages historical reference points, volume, momentum, and Fibonacci levels to highlight critical cycle events, including 147-day quarterly cycles, 1704-day major cycles, T+35 FTD (Failure-to-Deliver) cycles, quarterly OPEX dates, and swap roll periods. The script provides a clean, visually intuitive interface with minimal clutter, using bright neon shapes, subtle background highlights, dynamic support/resistance levels, and a comprehensive information table to guide trading decisions. It is tailored for GME enthusiasts looking to capitalize on recurring market patterns tied to the stock’s unique history, such as the January 28, 2021 squeeze and Roaring Kitty’s return in June 2024.Key FeaturesCycle Detection:147-Day Quarterly Cycle: Marks every 147 days from the January 28, 2021 squeeze, indicating potential volatility periods. 1704-Day Major Cycle: Identifies long-term cycles starting from the 2021 squeeze, signaling rare but significant events. T+35 FTD Cycles: Highlights 35-day Failure-to-Deliver settlement cycles, often associated with short squeeze pressure. Quarterly OPEX Dates: Flags the 15th of March, June, September, and December for options expiration impacts. Swap Roll Periods: Marks the last day of each quarter (March 30, June 30, September 30, December 31) for potential market maker activity. Confluence Detection:Major Confluence: Combines 147-day cycles or OPEX dates with high volume (1.5x 20-day SMA) and RSI > 50 for strong bullish signals. Super Confluence: Triggers when 1704-day and 147-day cycles align with high volume, indicating rare high-impact events. Dynamic Support/Resistance:Plots 147-day cycle highs and lows as dynamic support/resistance levels. Includes a 61.8% Fibonacci retracement level between cycle highs and lows for key price targets. Visual Elements:Neon Shapes: Uses distinct, bright shapes for cycle events (no text labels):Red Circle (147-Day Cycle) Yellow Diamond (1704-Day Major Cycle) Orange Triangle (Quarterly OPEX) Green Square (T+35 FTD Cycle) Purple X (Swap Roll) Rocket () for 1704-day hits Target () for January 28 anniversary Cat () for Roaring Kitty’s June 2, 2024 return Background Highlights: Subtle red (super confluence) and yellow (major confluence) background colors to mark high-probability events. Support/Resistance Lines: Red (147-day high), lime (147-day low), and blue (61.8% Fibonacci) lines with transparency for clarity. Information Table:Displays a clean, 11-row table in the top-right corner with a legend and status:Legend: Explains each shape and its corresponding cycle/event. Status: Shows days since the January 28, 2021 squeeze, days until the next 1704-day and 147-day cycles (with red text for imminent events, ≤10 and ≤5 days, respectively). Updates dynamically to avoid redundancy and ensure accuracy. Alerts:Configurable alerts for 147-day cycle hits, 1704-day cycle hits, and super confluence events, enabling timely notifications for traders. How It WorksHistorical Reference: Anchors cycles to the January 28, 2021 GME squeeze (timestamp("2021-01-28 00:00")) and Roaring Kitty’s return on June 2, 2024 (timestamp("2024-06-02 00:00")). Cycle Calculations: Uses days_since_squeeze to compute modulo-based cycles (147-day, 1704-day, 35-day) and specific dates for OPEX and swap rolls. Confluence Signals: Combines cycle events with volume (1.5x 20-day SMA) and RSI (>50) for major confluence, and adds 1704-day alignment for super confluence. Visuals: Plots small, neon-colored shapes (circles, diamonds, triangles, squares, X’s) without text to minimize clutter, with subtle background highlights and dynamic support/resistance lines. Table: Provides a legend for shapes and real-time status updates on cycle proximity. Alerts: Triggers notifications for key cycle events to support active trading strategies. Usage InstructionsApply to Chart:Add the indicator to a GME chart (e.g., daily timeframe recommended) in TradingView. Ensure sufficient chart history (back to January 2021) for accurate cycle calculations. Interpret Signals:Buy Opportunities:Look for red circles (147-day cycle), yellow diamonds (1704-day cycle), or orange triangles (OPEX) with yellow background (major confluence) or red background (super confluence). Confirm with high volume and RSI > 50 in the table or chart. The 61.8% Fibonacci level (blue) and 147-day low (lime) act as potential support for entries. Sell Opportunities:Monitor for cycle peaks (e.g., 147-day high in red) or lack of confluence signals. Use purple X’s (swap rolls) as potential exit points for volatility spikes. Avoid Trading:No shapes or background colors indicate low-probability setups. Use the Table:Check the table’s “Days Since 1/28/21” to track cycle progress. Note “Next 1704-Day” and “Next 147-Day” counts; red text (≤10 or ≤5 days) signals upcoming events. Use the legend to identify shape meanings. Set Alerts:Configure alerts for “147-Day Cycle Alert”, “1704-Day Major Cycle Alert”, or “Super Confluence Alert” to receive notifications on key events. Input SettingsShow All Cycle Predictions: Toggle all cycle markers (default: true). Show 147-Day Quarterly Cycle: Toggle red circles for 147-day cycles (default: true). Show 1704-Day Major Cycle: Toggle yellow diamonds for 1704-day cycles (default: true). Show FTD T+35 Cycles: Toggle green squares for 35-day FTD cycles (default: true). Show Swap Roll Dates: Toggle purple X’s for swap roll periods (default: true). Example Table Output LEGEND & STATUS | 🔴 Red Circle | 147-Day Cycle 🟡 Yellow Diamond | 1704-Day MAJOR 🟢 Green Square | T+35 FTD 🟠 Orange Triangle | Quarterly OPEX 🟣 Purple X | Swap Roll 🚀 Rocket | 1704 Hit! 🎯 Target | Jan 28 Anniv Days Since 1/28/21 | 1357 Next 1704-Day | 347 days Next 147-Day | 12 days Why Use This Indicator?GME-Specific: Tailored for GME’s unique market dynamics, referencing the 2021 squeeze and 2024 events. Clean Visuals: Uses bright neon shapes and minimal labels to reduce chart clutter while highlighting key cycles. Actionable Insights: Combines cycle analysis with volume, momentum, and Fibonacci levels for high-probability setups. Dynamic Table: Provides real-time cycle status and a clear legend for easy interpretation. Customizable: Toggle specific cycles and adjust visuals to suit your trading style. Notes for TradersBest Timeframe: Daily chart for accurate cycle alignment, though intraday (e.g., 1h) can work for short-term confirmation. Risk Management: Use confluence signals (yellow/red backgrounds) and support levels (lime, blue) for entries; monitor swap rolls and cycle peaks for exits. Limitations: Cycles are based on historical patterns and may not guarantee future performance. Combine with other indicators (e.g., RSI, volume) for confirmation. Testing: Backtest on GME’s historical data (2021–2025) to validate cycle accuracy, especially around January 28 anniversaries and June 2024 events. Publication NotesTags: GME, Cycle Analysis, GameStop, Short Squeeze, Technical Analysis, FTD Cycles, OPEX, Swap Rolls Chart Example: Include a GME daily chart screenshot showing neon shapes, background highlights, support/resistance lines, and the table. Highlight a super confluence event (red background) or a 147-day cycle hit (red circle). Community Contribution: Encourage feedback from GME traders to refine cycle lengths or add new reference points. Disclaimer: Emphasize that this is for educational purposes, not financial advice. Past cycles do not guarantee future results.
Wskaźnik Pine Script®
od Timmy741
H/L Swings/pivots detectorThis indicator detects and labels swing highs and swing lows using pivot logic. It highlights market structure shifts by identifying: - Higher Highs (HH) and Lower Highs (LH) - Lower Lows (LL) and Higher Lows (HL) Traders often use these levels to analyze trends, reversals, and key support/resistance zones. The script also plots pivot markers above highs and below lows for visual clarity. This tool is designed for educational and analytical purposes, and it does not provide financial advice or guaranteed results. 📂 Categories (choose when publishing) Type of script → Indicator Category → Trend Analysis (fits best for HH/LL pivots) Optionally → Support/Resistance (if you emphasize pivots as zones) swing high swing low pivot points market structure trend analysis higher high lower low support resistance
Wskaźnik Pine Script®
od Yasser_Mahmoud