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EMA Cross + MACD Confluence (with Session-Start Entry)EMA Cross + MACD Confluence Strategy (with Session-Start Entry) Idea originally from kirilov Description: This strategy blends a classic Exponential Moving Average (EMA) crossover system with MACD histogram confirmation, all within your custom trading window. On each bar: • Calculates two user-defined EMAs (Fast and Slow). • Computes the MACD line, signal line, and histogram using customizable lengths. • Only takes new trades during your chosen session hours and date range. • Enters on a fresh crossover (or crossunder), OR immediately at session start if the crossover condition is already true. • Applies MACD confluence: long entries only when the MACD histogram is positive; short entries only when it’s negative. • Exits positions when the opposite EMA-cross signal fires or when the session closes. Key Features: • 100% user-defined parameters: EMAs, MACD lengths, session times, date range, and long/short or both directions. • Session-aware “catch-up” entry—never miss a trend that started before the market open. • Lightweight and transparent: only standard Pine v6 functions, no external libraries. Disclaimer: This script is provided for educational and illustrative purposes only. It is NOT financial advice, a recommendation to buy or sell, or a substitute for your own due diligence. Past performance is no guarantee of future results. Trade at your own risk.
Pine Script® strategy
by Dreeco7
PulseWave Strategy Markking77PulseWave Strategy (Markking77) — Description & Indicator Roadmap PulseWave Strategy (Markking77) is a sleek, straightforward trading system that fuses three powerful market indicators — VWAP, MACD, and RSI — into one harmonious tool. Designed for traders who want clear, actionable signals, this strategy captures trend direction, momentum shifts, and market strength to help you spot optimal entry and exit points. Step 1: VWAP — The Market Trend Compass (Color: Blue) What it does: The Volume Weighted Average Price (VWAP) is the average price a security has traded at throughout the day, weighted by volume. It acts as a dynamic benchmark that many institutional traders rely on. Why it matters: Price above the VWAP (blue line) signals bullish momentum — buyers dominate. Price below the VWAP signals bearish momentum — sellers in control. PulseWave use: VWAP sets the trend foundation — we trade in the direction the price sits relative to VWAP. Step 2: MACD — Momentum Confirmation (Colors: Orange & Blue) What it does: MACD tracks momentum by comparing short-term and long-term moving averages, using the MACD line and a signal line to indicate shifts. Why it matters: When the MACD line (orange) crosses above the Signal line (blue), it signals rising momentum — a bullish cue. When the MACD line crosses below the signal line, it signals weakening momentum — bearish cue. PulseWave use: MACD confirms momentum that aligns with the VWAP trend before entering trades. Step 3: RSI — The Strength Filter (Color: Purple) What it does: The Relative Strength Index (RSI) measures how fast prices are changing to indicate overbought or oversold conditions. Why it matters: RSI above 70 = overbought (possible reversal or pause). RSI below 30 = oversold (potential bounce). PulseWave use: RSI filters out trades taken at extreme price levels, avoiding entries that are too stretched. Color-Coded Roadmap Summary: Step Indicator Role Buy Signal Sell Signal Color 1 VWAP Trend Direction Price > VWAP (bullish) Price < VWAP (bearish) Blue 2 MACD Momentum Confirmation MACD line crosses above Signal line MACD line crosses below Signal line Orange & Blue 3 RSI Entry Filter RSI < 70 (not overbought) RSI > 30 (not oversold) Purple How PulseWave Strategy Works: Buy when price sits above VWAP, MACD line crosses above the Signal line, and RSI is below 70. Sell (exit) when price drops below VWAP, MACD line crosses below the Signal line, and RSI is above 30. This layered approach ensures you only trade when trend, momentum, and strength align — reducing false signals and improving your edge. Why Use PulseWave Strategy? Clear & Simple: No guesswork — clear color-coded signals guide your decisions. Robust: Combines trend, momentum, and strength in one system. Versatile: Fits day trading and swing trading styles alike. Visual: Easily interpreted signals with minimal clutter.
Pine Script® strategy
by Markking77
1
Dynamic DCA Envelope – Beta V1.1Dynamic DCA Envelope-Beta V1.1 is a preview version of a Dollar-Cost Averaging (DCA) strategy designed for trending or volatile markets. -Long Positions Only -Intended for Cryptocurrency, but can be used in any market -1 and 4 hour timeframe -Average Commissions 0.1%-0.3% per trade (Cryptocurrency) What it does: This strategy identifies buying opportunities when price closes below a dynamic envelope (based on EMA). After 3 consecutive closes below the lower envelope, the system arms a buy condition. A DCA buy-in is triggered when price bounces by a configurable percentage from the trailing low. The strategy supports up to 3 buy-ins, each equally sized, and closes the entire position at a fixed take profit or stop loss. How it works: -Entry logic is based on price deviation from an EMA envelope -Waits for 3 closes below the envelope to detect weakness -Uses bounce percentage from the lowest point to trigger each buy -Includes cooldown logic between buys to avoid clustering -All positions are closed when TP or SL is hit How to use it: -Use on trending assets with volatility (e.g., crypto, tech stocks) -Adjust inputs to match asset behavior: -EMA Length -Envelope Offset % -Bounce % (Trailing DCA) -Take Profit / Stop Loss -View strategy performance in the Strategy Tester tab What’s unique: Unlike most DCA scripts that immediately average down, this version includes: -Trigger logic requiring multiple closes below trend -Bounce-based entry to avoid catching a falling knife -Cooldown resets to prevent overtrading -A true entry–wait–buy–reset loop mimicking disciplined execution *This is a beta version intended as a preview. A full Pro version is in development, which includes: -SmartScaling logic -Trailing take profit -Multi-symbol scanning -Backtest range limits -Risk-adjusted filtering
Pine Script® strategy
by Simple_Investment_Strategies
1
MOC Delta MOO Entry v21. Tracks the Daily Volume (9:30-4:00) 2. Measures the Delta of the MOC 3. Measures the percentage of Delta that was made during the MOC 4. If it is above/below 5/-5%, it begins looking for a trade. 5. When the 9:30 candle OPENS, it must be above the SMAs for a long, and it must be below the SMAs for a short. 6. If all conditions are met, it will enter a position on the CLOSE of the 9:30 candle (on the 5 minute, so enters at 9:35)
Pine Script® strategy
by ThatOtherCarGuy
SuperTrend Strategy with Trend-Based Exits🟩 SuperTrend Strategy with Trend-Based Exits This is a fully automated trend-following strategy based on the popular SuperTrend indicator, enhanced with a position sizing algorithm tied to stop-loss distance and dynamic entry/exit rules. The strategy is designed for futures trading with an emphasis on sustainable risk, realistic backtesting, and transparent logic. 🧠 Concept and Methodology The strategy uses the SuperTrend indicator, which is derived from ATR (Average True Range) and is widely used to capture medium- to long-term market trends. Key features: ✅ Entries are triggered only when the SuperTrend direction changes (trend reversal). ✅ Exits are performed using a dynamic stop-loss placed at the SuperTrend line. ✅ Position size is automatically calculated based on the trader’s fixed dollar risk per trade and the current distance to the stop-loss. ✅ Rounding logic is included to ensure quantity is valid for the exchange’s lot size. This strategy does not use any take-profit or classic trailing stop — the position is only closed when the trend reverses or the stop is hit by touching the SuperTrend line. ⚙️ Default Parameters ATR Length: 300 Factor: 7.5 Risk per trade: $90 (3% of the default $3,000 capital) Lot step: 10 Commission: 0.05% These default parameters are not universal. They were optimized specifically for STXUSDT swap at 15M timeframe at Bybit and may not produce viable results on other pairs and timeframes. Users are encouraged to customize the settings according to specific asset’s volatility, timeframe and other characteristics. ❗ These default settings yield meaningful backtesting results on STXUSDT with a reasonable number of trades (105+) over 7-month period. If applied to other assets, results may vary significantly. 📈 Position Sizing Logic The strategy uses a dynamic position sizing formula: Pine Script® position_size = floor((risk_per_trade / stop_loss_distance) / lot_step) * lot_step This ensures the trader always risks a fixed dollar amount per trade and never exceeds a sustainable equity exposure (recommended 2% or less). ✅ Realism in Backtesting To ensure realistic and non-misleading backtest results, this strategy includes: — Slippage and commission settings matching average exchange conditions (commission = 0.05%, slippage 5 ticks). — Position sizing based on stop-loss distance (not fixed contract quantity).* — A fixed risk-per-trade model that adheres to responsible capital management principles. — This is in compliance with TradingView's Script publishing rules and House Rules. 📌 How to Use Apply the strategy to a clean chart (preferably 15M for STXUSDT by default). If using another asset, adjust: - ATR Length - Factor - Risk per trade - Qty step (lot precision for the symbol) Avoid using with other indicators unless you understand their purpose. Use the Strategy Tester to evaluate performance and optimize parameters. ⚠️ Disclaimer This is not financial advice. Always perform forward testing and assess risk before deploying any strategy on live capital. The strategy is designed for educational and experimental use.
Pine Script® strategy
by nefyodov.artyom
Game Theory Trading StrategyGame Theory Trading Strategy: Explanation and Working Logic This Pine Script (version 5) code implements a trading strategy named "Game Theory Trading Strategy" in TradingView. Unlike the previous indicator, this is a full-fledged strategy with automated entry/exit rules, risk management, and backtesting capabilities. It uses Game Theory principles to analyze market behavior, focusing on herd behavior, institutional flows, liquidity traps, and Nash equilibrium to generate buy (long) and sell (short) signals. Below, I'll explain the strategy's purpose, working logic, key components, and usage tips in detail. 1. General Description Purpose: The strategy identifies high-probability trading opportunities by combining Game Theory concepts (herd behavior, contrarian signals, Nash equilibrium) with technical analysis (RSI, volume, momentum). It aims to exploit market inefficiencies caused by retail herd behavior, institutional flows, and liquidity traps. The strategy is designed for automated trading with defined risk management (stop-loss/take-profit) and position sizing based on market conditions. Key Features: Herd Behavior Detection: Identifies retail panic buying/selling using RSI and volume spikes. Liquidity Traps: Detects stop-loss hunting zones where price breaks recent highs/lows but reverses. Institutional Flow Analysis: Tracks high-volume institutional activity via Accumulation/Distribution and volume spikes. Nash Equilibrium: Uses statistical price bands to assess whether the market is in equilibrium or deviated (overbought/oversold). Risk Management: Configurable stop-loss (SL) and take-profit (TP) percentages, dynamic position sizing based on Game Theory (minimax principle). Visualization: Displays Nash bands, signals, background colors, and two tables (Game Theory status and backtest results). Backtesting: Tracks performance metrics like win rate, profit factor, max drawdown, and Sharpe ratio. Strategy Settings: Initial capital: $10,000. Pyramiding: Up to 3 positions. Position size: 10% of equity (default_qty_value=10). Configurable inputs for RSI, volume, liquidity, institutional flow, Nash equilibrium, and risk management. Warning: This is a strategy, not just an indicator. It executes trades automatically in TradingView's Strategy Tester. Always backtest thoroughly and use proper risk management before live trading. 2. Working Logic (Step by Step) The strategy processes each bar (candle) to generate signals, manage positions, and update performance metrics. Here's how it works: a. Input Parameters The inputs are grouped for clarity: Herd Behavior (🐑): RSI Period (14): For overbought/oversold detection. Volume MA Period (20): To calculate average volume for spike detection. Herd Threshold (2.0): Volume multiplier for detecting herd activity. Liquidity Analysis (💧): Liquidity Lookback (50): Bars to check for recent highs/lows. Liquidity Sensitivity (1.5): Volume multiplier for trap detection. Institutional Flow (🏦): Institutional Volume Multiplier (2.5): For detecting large volume spikes. Institutional MA Period (21): For Accumulation/Distribution smoothing. Nash Equilibrium (⚖️): Nash Period (100): For calculating price mean and standard deviation. Nash Deviation (0.02): Multiplier for equilibrium bands. Risk Management (🛡️): Use Stop-Loss (true): Enables SL at 2% below/above entry price. Use Take-Profit (true): Enables TP at 5% above/below entry price. b. Herd Behavior Detection RSI (14): Checks for extreme conditions: Overbought: RSI > 70 (potential herd buying). Oversold: RSI < 30 (potential herd selling). Volume Spike: Volume > SMA(20) x 2.0 (herd_threshold). Momentum: Price change over 10 bars (close - close ) compared to its SMA(20). Herd Signals: Herd Buying: RSI > 70 + volume spike + positive momentum = Retail buying frenzy (red background). Herd Selling: RSI < 30 + volume spike + negative momentum = Retail selling panic (green background). c. Liquidity Trap Detection Recent Highs/Lows: Calculated over 50 bars (liquidity_lookback). Psychological Levels: Nearest round numbers (e.g., $100, $110) as potential stop-loss zones. Trap Conditions: Up Trap: Price breaks recent high, closes below it, with a volume spike (volume > SMA x 1.5). Down Trap: Price breaks recent low, closes above it, with a volume spike. Visualization: Traps are marked with small red/green crosses above/below bars. d. Institutional Flow Analysis Volume Check: Volume > SMA(20) x 2.5 (inst_volume_mult) = Institutional activity. Accumulation/Distribution (AD): Formula: ((close - low) - (high - close)) / (high - low) * volume, cumulated over time. Smoothed with SMA(21) (inst_ma_length). Accumulation: AD > MA + high volume = Institutions buying. Distribution: AD < MA + high volume = Institutions selling. Smart Money Index: (close - open) / (high - low) * volume, smoothed with SMA(20). Positive = Smart money buying. e. Nash Equilibrium Calculation: Price mean: SMA(100) (nash_period). Standard deviation: stdev(100). Upper Nash: Mean + StdDev x 0.02 (nash_deviation). Lower Nash: Mean - StdDev x 0.02. Conditions: Near Equilibrium: Price between upper and lower Nash bands (stable market). Above Nash: Price > upper band (overbought, sell potential). Below Nash: Price < lower band (oversold, buy potential). Visualization: Orange line (mean), red/green lines (upper/lower bands). f. Game Theory Signals The strategy generates three types of signals, combined into long/short triggers: Contrarian Signals: Buy: Herd selling + (accumulation or down trap) = Go against retail panic. Sell: Herd buying + (distribution or up trap). Momentum Signals: Buy: Below Nash + positive smart money + no herd buying. Sell: Above Nash + negative smart money + no herd selling. Nash Reversion Signals: Buy: Below Nash + rising close (close > close ) + volume > MA. Sell: Above Nash + falling close + volume > MA. Final Signals: Long Signal: Contrarian buy OR momentum buy OR Nash reversion buy. Short Signal: Contrarian sell OR momentum sell OR Nash reversion sell. g. Position Management Position Sizing (Minimax Principle): Default: 1.0 (10% of equity). In Nash equilibrium: Reduced to 0.5 (conservative). During institutional volume: Increased to 1.5 (aggressive). Entries: Long: If long_signal is true and no existing long position (strategy.position_size <= 0). Short: If short_signal is true and no existing short position (strategy.position_size >= 0). Exits: Stop-Loss: If use_sl=true, set at 2% below/above entry price. Take-Profit: If use_tp=true, set at 5% above/below entry price. Pyramiding: Up to 3 concurrent positions allowed. h. Visualization Nash Bands: Orange (mean), red (upper), green (lower). Background Colors: Herd buying: Red (90% transparency). Herd selling: Green. Institutional volume: Blue. Signals: Contrarian buy/sell: Green/red triangles below/above bars. Liquidity traps: Red/green crosses above/below bars. Tables: Game Theory Table (Top-Right): Herd Behavior: Buying frenzy, selling panic, or normal. Institutional Flow: Accumulation, distribution, or neutral. Nash Equilibrium: In equilibrium, above, or below. Liquidity Status: Trap detected or safe. Position Suggestion: Long (green), Short (red), or Wait (gray). Backtest Table (Bottom-Right): Total Trades: Number of closed trades. Win Rate: Percentage of winning trades. Net Profit/Loss: In USD, colored green/red. Profit Factor: Gross profit / gross loss. Max Drawdown: Peak-to-trough equity drop (%). Win/Loss Trades: Number of winning/losing trades. Risk/Reward Ratio: Simplified Sharpe ratio (returns / drawdown). Avg Win/Loss Ratio: Average win per trade / average loss per trade. Last Update: Current time. i. Backtesting Metrics Tracks: Total trades, winning/losing trades. Win rate (%). Net profit ($). Profit factor (gross profit / gross loss). Max drawdown (%). Simplified Sharpe ratio (returns / drawdown). Average win/loss ratio. Updates metrics on each closed trade. Displays a label on the last bar with backtest period, total trades, win rate, and net profit. j. Alerts No explicit alertconditions defined, but you can add them for long_signal and short_signal (e.g., alertcondition(long_signal, "GT Long Entry", "Long Signal Detected!")). Use TradingView's alert system with Strategy Tester outputs. 3. Usage Tips Timeframe: Best for H1-D1 timeframes. Shorter frames (M1-M15) may produce noisy signals. Settings: Risk Management: Adjust sl_percent (e.g., 1% for volatile markets) and tp_percent (e.g., 3% for scalping). Herd Threshold: Increase to 2.5 for stricter herd detection in choppy markets. Liquidity Lookback: Reduce to 20 for faster markets (e.g., crypto). Nash Period: Increase to 200 for longer-term analysis. Backtesting: Use TradingView's Strategy Tester to evaluate performance. Check win rate (>50%), profit factor (>1.5), and max drawdown (<20%) for viability. Test on different assets/timeframes to ensure robustness. Live Trading: Start with a demo account. Combine with other indicators (e.g., EMAs, support/resistance) for confirmation. Monitor liquidity traps and institutional flow for context. Risk Management: Always use SL/TP to limit losses. Adjust position_size for risk tolerance (e.g., 5% of equity for conservative trading). Avoid over-leveraging (pyramiding=3 can amplify risk). Troubleshooting: If no trades are executed, check signal conditions (e.g., lower herd_threshold or liquidity_sensitivity). Ensure sufficient historical data for Nash and liquidity calculations. If tables overlap, adjust position.top_right/bottom_right coordinates. 4. Key Differences from the Previous Indicator Indicator vs. Strategy: The previous code was an indicator (VP + Game Theory Integrated Strategy) focused on visualization and alerts. This is a strategy with automated entries/exits and backtesting. Volume Profile: Absent in this strategy, making it lighter but less focused on high-volume zones. Wick Analysis: Not included here, unlike the previous indicator's heavy reliance on wick patterns. Backtesting: This strategy includes detailed performance metrics and a backtest table, absent in the indicator. Simpler Signals: Focuses on Game Theory signals (contrarian, momentum, Nash reversion) without the "Power/Ultra Power" hierarchy. Risk Management: Explicit SL/TP and dynamic position sizing, not present in the indicator. 5. Conclusion The "Game Theory Trading Strategy" is a sophisticated system leveraging herd behavior, institutional flows, liquidity traps, and Nash equilibrium to trade market inefficiencies. It’s designed for traders who understand Game Theory principles and want automated execution with robust risk management. However, it requires thorough backtesting and parameter optimization for specific markets (e.g., forex, crypto, stocks). The backtest table and visual aids make it easy to monitor performance, but always combine with other analysis tools and proper capital management. If you need help with backtesting, adding alerts, or optimizing parameters, let me know!
Pine Script® strategy
by EfeErdost
0-5 Box Strategy Tester v4🟩 0-5 Box Strategy Tester v4 — Explained Simply This script is a modular hourly breakout strategy designed to help traders test and trade breakouts (or pullbacks) from the first 5-minute range of any selected hour. It supports both long and short positions and is optimized for scalping or intraday strategies. 🔑 Core Strategy Logic Box Formation: At the start of every hour, the script tracks the high and low of the first 5 minutes (e.g., from 9:00 to 9:04). Trade Trigger: Once price breaks out above or below this 5-minute box (either instantly or after a pullback), it can trigger a long or short entry depending on your settings. Entry Type: Supports two main styles: Breakout entry: Buy/sell as soon as price breaks the box. Pullback re-entry: Wait for price to break the box, pull back, then re-enter on a limit order. 🧪 Smart Entry Filters (Optional but Powerful) You can refine your trades using several filters: ✅ Previous Hour Direction – Only trade in the direction of the last hour’s candle (bullish/bearish). 🔄 Reversal Filter – Only trade against the previous hour’s direction. 💧 Liquidity Sweep – Require the previous hour’s high or low to be swept first (liquidity-based entry). 🔁 Q2 Confirmation (15–30 min logic) – Confirm price action in the second quarter of the hour (like retests or wick-based logic). 🕒 Max Entry Time – Prevent late trades within the hour (e.g., no entries after minute 45). 📦 Max Range % – Avoid trading during overly volatile hours by filtering out wide boxes. 🕘 Flexible Hour Selection You can choose to: Trade all hours Or select specific hours manually (like 4AM, 9AM, etc.) 📉 Risk & Position Sizing Options Supports stop-loss and take-profit by: Points Percentage Risk:Reward Ratio Choose fixed contract size or auto-size based on dollar risk. 📊 Built-In Analytics The strategy tracks and displays: Win rate PnL (total, by hour, by day) Average drawdown Risk metrics (Expectancy, Profit Factor, Payoff Ratio) Hour-by-hour stats (how each hour performs historically) Day-of-week performance Visual tables on chart for easy analysis 🧠 Use Cases This strategy is ideal for: Futures traders (like NQ/ES/GC) who trade specific sessions (e.g., NY open, London) Scalpers looking for tight breakouts or pullbacks Systematic traders backtesting precision setups Traders using confluence like session breaks, liquidity sweeps, and inside-hour confirmations
Pine Script® strategy
by mickey1984
Reversal & Breakout Strategy - CompleteThis is a complete intraday trading strategy script for TradingView that lets you: 1. Choose Between Two Styles of Trades: Reversals: It looks for large bullish or bearish candles during market sessions and enters trades expecting price to reverse. Breakouts: It scans for price breaking above or below a recent high or low (based on a lookback range) and enters in the direction of the breakout. 2. Filters Trades by Session and Day Type: Trades only during sessions you choose: NY1, NY2, London, Asia, etc. Trades only on specific day types (e.g., DNP, DWP, Range 1, Range 2), as classified by a custom daily behavior model. 3. Uses 9:30 AM Candle Logic (ORB): Captures the 9:30 AM Eastern candle's high/low using 1-minute data. Allows breakout confirmation using this range. 4. Entry + Exit Logic: Enters on reversal or breakout confirmation. Automatically places stop-loss and take-profit orders (based on your input, in ticks or points). Can require classification before entry (e.g., don’t trade until the market type is known). 5. Tracks Trades and Performance: Records each trade's PnL, drawdown, win/loss, classification, time, and session. Displays a table with analytics like win rate, expectancy, average drawdown, trade distribution by day/classification. 6. Visually Shows All Trades: Draws arrows and shapes when trades are triggered. Labels when trades are blocked (e.g., if not classified yet). Plots breakout levels and 9:30 AM box.
Pine Script® strategy
by mickey1984
Fisher Crossover StrategyThe Fisher Crossover Strategy is a popular technical trading method that uses the Fisher Transform indicator developed by John Ehlers. This indicator mathematically converts price data into a normal Gaussian distribution, making market turning points sharper and easier to identify. The strategy is based on two lines: the Fisher line, which is the main transformed price value, and the Trigger line, which is a one-period lag of the Fisher line. Traders use the crossover of these lines to determine buy and sell opportunities. A buy signal is generated when the Fisher line crosses above the Trigger line, indicating that bullish momentum may be starting, while a sell signal occurs when the Fisher line crosses below the Trigger line, suggesting a possible bearish reversal. Signals that occur relative to the zero line are often considered stronger; for example, a buy signal below the zero line may indicate a deeper market reversal. The strategy is simple to follow and can be applied to various markets including stocks, forex, commodities, and cryptocurrencies. However, like all crossover strategies, it can produce false signals during sideways or ranging markets. To reduce whipsaws, traders often combine the Fisher Crossover Strategy with other tools such as support and resistance levels, volume analysis, or moving averages. Proper risk management with stop-loss and take-profit levels is also essential. Overall, the Fisher Crossover Strategy is valued for its clear entry and exit rules and its ability to highlight potential market reversals earlier than many other indicators.
Pine Script® strategy
by kamalverma1207
Day Trading Strategy (With Risk Management)This is a day trading strategy based on fast and slow EMA crossovers combined with RSI filtering to enhance trade accuracy. Designed for intraday use, it generates buy signals when the fast EMA crosses above the slow EMA and sell signals when it crosses below, but only if the RSI confirms momentum is favorable to avoid false entries in choppy markets. The strategy includes built-in risk management with configurable stop-loss and take-profit levels set at 1% by default, helping to limit losses and secure profits quickly within the trading day. Clear buy and sell signals are plotted on the chart, and alerts notify traders in real time when trading opportunities arise. Ideal for short-term traders, this system provides a disciplined, mechanical approach to capturing intraday trends with momentum confirmation and essential risk controls. It is fully customizable to fit different day trading instruments, timeframes, and risk appetites.
Pine Script® strategy
by mnwrahmad
SuperGold (estrategia)SuperGold is a technical indicator based on the popular SuperTrend, but enhanced with the logic of Heikin Ashi candles to eliminate market noise and filter out false signals. This indicator doesn’t just detect trend changes — it does so in a cleaner, more precise, and more reliable way, thanks to its focus on smoothed candle structure. 🚀 What makes SuperGold different? 🔸 Uses Heikin Ashi to generate more stable signals 🔸 Reduces the number of false entries and exits 🔸 Provides greater visual clarity in trend shifts 🔸 Perfect for XAUUSD, Forex, Cryptocurrencies, Indices, and more
Pine Script® strategy
by AlertasGold
Ultimate Scalping Strategy v2Strategy Overview This is a versatile scalping strategy designed primarily for low timeframes (like 1-min, 3-min, or 5-min charts). Its core logic is based on a classic EMA (Exponential Moving Average) crossover system, which is then filtered by the VWAP (Volume-Weighted Average Price) to confirm the trade's direction in alignment with the market's current intraday sentiment. The strategy is highly customizable, allowing traders to add layers of confirmation, control trade direction, and manage exits with precision. Core Strategy Logic The strategy's entry signals are generated when two primary conditions are met simultaneously: Momentum Shift (EMA Crossover): It looks for a crossover between a fast EMA (default length 9) and a slow EMA (default length 21). Buy Signal: The fast EMA crosses above the slow EMA, indicating a potential shift to bullish momentum. Sell Signal: The fast EMA crosses below the slow EMA, indicating a potential shift to bearish momentum. Trend/Sentiment Filter (VWAP): The crossover signal is only considered valid if the price is on the "correct" side of the VWAP. For a Buy Signal: The price must be trading above the VWAP. This confirms that, on average, buyers are in control for the day. For a Sell Signal: The price must be trading below the VWAP. This confirms that sellers are generally in control. Confirmation Filters (Optional) To increase the reliability of the signals and reduce false entries, the strategy includes two optional confirmation filters: Price Action Filter (Engulfing Candle): If enabled (Use Price Action), the entry signal is only valid if the crossover candle is also an "engulfing" candle. A Bullish Engulfing candle is a large green candle that completely "engulfs" the body of the previous smaller red candle, signaling strong buying pressure. A Bearish Engulfing candle is a large red candle that engulfs the previous smaller green candle, signaling strong selling pressure. Volume Filter (Volume Spike): If enabled (Use Volume Confirmation), the entry signal must be accompanied by a surge in volume. This is confirmed if the volume of the entry candle is greater than its recent moving average (default 20 periods). This ensures the move has strong participation behind it. Exit Strategy A position can be closed in one of three ways, creating a comprehensive exit plan: Stop Loss (SL): A fixed stop loss is set at a level determined by a multiple of the Average True Range (ATR). For example, a 1.5 multiplier places the stop 1.5 times the current ATR value away from the entry price. This makes the stop dynamic, adapting to market volatility. Take Profit (TP): A fixed take profit is also set using an ATR multiplier. By setting the TP multiplier higher than the SL multiplier (e.g., 2.0 for TP vs. 1.5 for SL), the strategy aims for a positive risk-to-reward ratio on each trade. Exit on Opposite Signal (Reversal): If enabled, an open position will be closed automatically if a valid entry signal in the opposite direction appears. For example, if you are in a long trade and a valid short signal occurs, the strategy will exit the long position immediately. This feature turns the strategy into more of a reversal system. Key Features & Customization Trade Direction Control: You can enable or disable long and short trades independently using the Allow Longs and Allow Shorts toggles. This is useful for trading in harmony with a higher-timeframe trend (e.g., only allowing longs in a bull market). Visual Plots: The strategy plots the Fast EMA, Slow EMA, and VWAP on the chart for easy visualization of the setup. It also plots up/down arrows to mark where valid buy and sell signals occurred. Dynamic SL/TP Line Plotting: A standout feature is that the strategy automatically draws the exact Stop Loss and Take Profit price lines on the chart for every active trade. These lines appear when a trade is entered and disappear as soon as it is closed, providing a clear visual of your risk and reward targets. Alerts: The script includes built-in alertcondition calls. This allows you to create alerts in TradingView that can notify you on your phone or execute trades automatically via a webhook when a long or short signal is generated.
Pine Script® strategy
by sebamarghella
1