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Twin Range Filter StrategyClarity Over Confusion: See price action through a全新的 lens. Watch as erratic, choppy movements are smoothed into a clear, actionable trajectory. The path of least resistance becomes obvious. Confidence Over Hesitation: Receive high-probability entry and exit signals with a proven logic that waits for the market to commit before you do. No more second-guessing. Discipline Over Emotion: Our algorithm enforces a systematic approach, helping you avoid emotional FOMO chasing and panic selling. Stick to the plan and execute with precision. What Can You Expect? Dynamic Adaptability: Unlike static indicators, continuously adapts to volatility. It widens its filter in turbulent markets to avoid whipsaws and tightens it in trending markets to capture more of the move. The Power of Two: By synthesizing data from two distinct market perspectives, it confirms strength and filters out weakness, providing a confluence that standalone indicators simply cannot match. Clean, Unambiguous Signals: We’ve eliminated the clutter. The software provides clear visual alerts (Green Arrows for Long, Red Arrows for Short) right on your chart, telling you exactly when the equilibrium has shifted. Who is this for? Swing Traders looking to capture the heart of a trend and avoid false breakouts. Day Traders needing a reliable filter to navigate volatile intraday action. Systematic Traders seeking a robust logic layer to add to their automated strategy. Anyone overwhelmed by indicator overload and craving a single, trusted source of truth on their chart
Strategia Pine Script®
od mariadigo234233
Script_Algo - ORB Strategy with Filters🔍 Core Concept: This strategy combines three powerful technical analysis tools: Range Breakout, the SuperTrend indicator, and a volume filter. Additionally, it features precise customization of the number of candles used to construct the breakout range, enabling optimized performance for specific assets. 🎯 How It Works: The strategy defines a trading range at the beginning of the trading session based on a selected number of candles. It waits for a breakout above the upper or below the lower boundary of this range, requiring a candle close. It filters signals using the SuperTrend indicator for trend confirmation. It utilizes trading volume to filter out false breakouts. ⚡ Strategy Features 📈 Entry Points: Long: Candle close above the upper range boundary + SuperTrend confirmation Short: Candle close below the lower range boundary + SuperTrend confirmation 🛡️ Risk Management: Stop-Loss: Set at the opposite range boundary. Take-Profit: Calculated based on a risk/reward ratio (3:1 by default). Position Size: 10 contracts (configurable). ⚠️ IMPORTANT SETTINGS 🕐 Time Parameters: Set the correct time and time zone! ❕ATTENTION: The strategy works ONLY with correct time settings! Set the time corresponding to your location and trading session. 📊 This strategy is optimized for trading TESLA stock! Parameters are tailored to TESLA's volatility, and trading volumes are adequate for signal filtering. Trading time corresponds to the American session. 📈 If you look at the backtesting results, you can see that the strategy could potentially have generated about 70 percent profit on Tesla stock over six months on 5m timeframe. However, this does not guarantee that results will be repeated in the future; remain vigilant. ⚠️ For other assets, the following is required: Testing and parameter optimization Adjustment of time intervals and the number of candles forming the range Calibration of stop-loss and take-profit levels ⚠️ Limitations and Drawbacks 🔗 Automation Constraints: ❌ Cannot be directly connected via Webhook to CFD brokers! Additional IT solutions are required for automation, thus only manual trading based on signals is possible. 📉 Risk Management: Do not risk more than 2-3% of your account per trade. Test on historical data before live use. Start with a demo account. 💪 Strategy Advantages ✅ Combined approach – multiple signal filters ✅ Clear entry and exit rules ✅ Visual signals on the chart ✅ Volume-based false breakout filtering ✅ Automatic position management 🎯 Usage Recommendations Always test the strategy on historical data. Start with small trading volumes. Ensure time settings are correct. Adapt parameters to current market volatility. Use only for stocks – futures and Forex require adaptation. 📚 Suitable Timeframes - M1-M15 Only highly liquid stocks 🍀 I wish all subscribers good luck in trading and steady profits! 📈 May your charts move in the right direction! ⚠️ Remember: Trading involves risk. Do not invest money you cannot afford to lose!
Strategia Pine Script®
od Script_Algo
4
RSI Bands With RSI - ATR Trend StrategyRSI Bands With RSI-ATR Trend Line Strategy Overview A trend-following strategy that combines RSI regime detection with a smoothed baseline and ATR bands. Works similar to Supertrend: the line flips bullish or bearish only when price closes beyond the band, aiming to filter noise and catch clean moves. How It Works RSI above 50 = bullish bias, below 50 = bearish bias A dynamic baseline is calculated from RSI and price range, then smoothed ATR bands expand/contract with volatility Close above the upper band → bullish flip → long entry Close below the lower band → bearish flip → short entry Between bands → prior trend continues Features Automatic Buy/Sell entries on confirmed flips Configurable RSI, Smoothing, ATR, and Multiplier inputs Visual trend line (green = bull, red = bear) Backtest ready with initial capital and commission settings Best Use Cases Trending markets across Forex, Crypto, Indices, Commodities Works on multiple timeframes (higher TFs = cleaner flips) Flexible settings for conservative swing trading or aggressive scalping ⚠️ For testing/education only. Always manage risk and confirm with higher-timeframe or structure filters.
Strategia Pine Script®
od qoulynn
VWAP Executor — v6 (VWAP fix)tarek helishPractical scalping plan with high-rate (sometimes reaching 70–85% in a quiet market) Concept: “VWAP bounce with a clear trend.” Tools: 1–3-minute chart for entry, 5-minute trend filter, VWAP, EMA(50) on 5M, ATR(14) on 1M, volume. When to trade: London session or early New York session; avoid 10–15 minutes before/after high-impact news. Entry rules (buy for example): Trend: Price is above the EMA(50) on 5M and has an upward trend. Entry zone: First bounce to VWAP (or a ±1 standard deviation channel around it). Signal: Bullish rejection/engulfing candle on 1M with increasing volume, and RSI(2) has exited oversold territory (optional). Order: Entry after the confirmation candle closes or a limit close to VWAP. Trade Management: Stop: Below the bounce low or 0.6xATR(1M) (strongest). Target: 0.4–0.7xATR(1M) or the previous micro-high (small return to increase success rate). Trigger: Move the stop to breakeven after +0.25R; close manually if the 1M candle closes strongly against you. Filter: Do not trade if the spread widens, or the price "saws" around VWAP without a trend. Sell against the rules in a downtrend. Why this plan raises the heat-rate? You buy a "small discount" within an existing trend and near the institutional average price (VWAP), with a small target price. مواقعي شركة الماسة للخدمات المنزلية شركة تنظيف بالرياض نقل عفش بالرياض
Strategia Pine Script®
od worldforhost
VIP SHORT CRIPTO 1HThis strategy is designed to trade Bitcoin on the 1H timeframe, focusing exclusively on SHORT positions. It uses an advanced system adapted to price action, combined with automated risk management through stop loss and take profit. It is optimized to adapt to the high volatility and speculative nature of BTC, seeking out trend-driven momentum opportunities and avoiding low-probability periods detected through historical analysis. Important: This strategy does not guarantee future profits and should be used after testing and analyzing in a simulated environment. A disciplined approach and appropriate risk management are recommended for the cryptocurrency market.
Strategia Pine Script®
od A_topetrader
Range FinderRange Finder Strategy for TradingView Overview The Range Finder Strategy is a sophisticated trading system designed for forex and cryptocurrency markets, leveraging dynamic range detection, wick-based rejection patterns, and EMA confluence to execute high-probability trades. This strategy identifies key price ranges using pivot points and triggers trades when price rejects from these boundaries with significant wick formations, aligning with the broader market trend as confirmed by EMA crossovers. It incorporates robust risk management, customizable parameters, and visual aids for clear trade visualization, making it suitable for both manual and automated trading on platforms like Bitget via webhook alerts. Strategy Components 1. Dynamic Range Detection Pivot Points: The strategy identifies range boundaries using pivot highs and lows, calculated with a user-defined Pivot Length (default: 5 bars left/right). These pivots mark significant swing points, defining the upper (range high) and lower (range low) boundaries of the price range. Visualization: The range high is plotted as an orange line, and the range low as a purple line, using a broken line style (plot.style_linebr) to show only confirmed pivot levels, providing a clear visual of the trading range. 2. Wick-Based Rejection Pattern Wick Detection: The strategy looks for rejection candles at the range boundaries, characterized by significant wicks. A wick is considered valid if its size is at least the user-defined Wick to Body Ratio (default: 1.1, or 10% larger than the candle body). Sell Signal: Triggered when the high exceeds the range high, the candle closes bearish (close < open), and the upper wick meets the ratio requirement. Buy Signal: Triggered when the low falls below the range low, the candle closes bullish (close > open), and the lower wick meets the ratio requirement. Purpose: These wicks indicate strong rejection at key levels, often signaling a reversal back into the range, providing high-probability entry points. 3. EMA Trend Confirmation EMA Calculation: Uses two Exponential Moving Averages (EMAs) calculated on a user-selectable timeframe (default: 5-minute): EMA 200: Long-term trend indicator (plotted in red). EMA 50: Short-term trend indicator (plotted in green). Crossover Logic: A bullish trend is confirmed when the EMA 50 crosses above the EMA 200 (ema_trend_up = true). A bearish trend is confirmed when the EMA 50 crosses below the EMA 200 (ema_trend_down = true). Confluence Requirement: Trades are only executed when the wick rejection aligns with the EMA trend (e.g., sell signals require close < ema200 and bearish trend; buy signals require close > ema200 and bullish trend). 4. Risk Management Position Sizing: Calculated based on the user-defined Account Balance (default: $10,000) and Risk Per Trade (default: 2%). The position size is determined as risk_amount / stop_distance, where stop_distance is derived from the Average True Range (ATR, default period: 14). Stop Loss (SL): Set using an ATR-based multiplier (SL Multiplier, default: 9.0). For sells, SL is placed above the high; for buys, below the low. Take Profit (TP): Set using an ATR-based multiplier (TP Multiplier, default: 6.0) scaled by the Risk:Reward Ratio (default: 6.0), ensuring a favorable reward-to-risk profile. Example: For a $10,000 account with 2% risk, if ATR is 0.5, the position size is 400 units, with SL and TP dynamically adjusted to market volatility. 5. Trade Execution Sell Entry: Triggered on a wick rejection above the range high, with bearish EMA confluence (ema_trend_down and close < ema200). Enters a short position with calculated SL and TP. Buy Entry: Triggered on a wick rejection below the range low, with bullish EMA confluence (ema_trend_up and close > ema200). Enters a long position with calculated SL and TP. Exit Logic: Uses strategy.exit to set SL and TP levels, closing trades when either is hit. 6. Visual Feedback Lines and Labels: Upon trade entry, the strategy plots: Red SL line and label (e.g., "SL: 123.45"). Green TP line and label (e.g., "TP: 120.00"). Entry line (red for sell, green for buy) labeled with "Sell (Range Rejection)" or "Buy (Range Rejection)". Customization: Users can adjust the Line Length (default: 25 bars) for how long lines persist and Label Position (left or right) for optimal chart visibility. 7. Alert Conditions Webhook Integration: Generates alerts for Bitget webhook integration, providing JSON-formatted messages with trade details (action, contracts, market position, size, price, symbol, and timestamp). Usage: Traders can set up automated trading by connecting these alerts to trading bots or platforms supporting webhooks.
Strategia Pine Script®
od thetraderlodge
Imbalance RSI Divergence Strategy# Imbalance RSI Divergence Strategy - User Guide ## What is This Strategy? This strategy identifies **imbalance** zones in the market and combines them with **RSI divergence** to generate trading signals. It aims to capitalize on price gaps left by institutional investors and large volume movements. ### Main Settings - **RSI Period (14)**: Period used for RSI calculation. Lower values = more sensitive, higher values = more stable signals. - **ATR Period (10)**: Period for volatility measurement using Average True Range. - **ATR Stop Loss Multiplier (2.0)**: How many ATR units to use for stop loss calculation. - **Risk:Reward Ratio (4.0)**: Risk-reward ratio. 2.0 = 2 units of reward for 1 unit of risk. - **Use RSI Divergence Filter (true)**: Enables/disables the RSI divergence filter. ### Imbalance Filters - **Minimum Imbalance Size (ATR) (0.3)**: Minimum imbalance size in ATR units to filter out small imbalances. - **Enable Lookback Limit (false)**: Activates historical lookback limitations. - **Maximum Lookback Bars (300)**: Maximum number of bars to look back. ### Visual Settings - **Show Imbalance Size**: Displays imbalance size in ATR units. - **Show RSI Divergence Lines**: Shows/hides divergence lines. - **Divergence Line Colors**: Colors for bullish/bearish divergence lines. ### Volatility-Based Adjustments - **Low volatility markets**: - Minimum Imbalance Size: 0.2-0.4 ATR - ATR Stop Loss Multiplier: 1.5-2.0 - **High volatility markets**: - Minimum Imbalance Size: 0.5-1.0 ATR - ATR Stop Loss Multiplier: 2.5-3.5 ### Risk Tolerance - **Conservative approach**: - Risk:Reward Ratio: 2.0-3.0 - RSI Divergence Filter: Enabled - Minimum Imbalance Size: Higher (0.5+ ATR) - **Aggressive approach**: - Risk:Reward Ratio: 4.0-6.0 - Minimum Imbalance Size: Lower (0.2-0.3 ATR) ###Market Conditions - **Trending markets**: Higher RSI Period (21-28) - **Sideways markets**: Lower RSI Period (10-14) - **Volatile markets**: Higher ATR Multiplier ## Recommended Testing Procedure 1. **Start with default settings** and backtest on 3-6 months of historical data 2. **Adjust RSI Period** to see which value produces better results 3. **Optimize ATR Multiplier** for stop loss levels 4. **Test different Risk:Reward ratios** comparatively 5. **Fine-tune Minimum Imbalance Size** to improve signal quality ## Important Considerations - **False positive signals**: Imbalances may be less reliable during low volatility periods - **Market openings**: First hours often produce more imbalances but can be riskier - **News events**: Consider disabling strategy during major news releases - **Backtesting**: Test across different market conditions (trending, sideways, volatile) ## Recommended Settings for Beginners **Safe settings for new users:** - RSI Period: 14 - ATR Period: 14 - ATR Stop Loss Multiplier: 2.5 - Risk:Reward Ratio: 3.0 - Minimum Imbalance Size: 0.5 ATR - RSI Divergence Filter: Enabled ## Advanced Tips ### Signal Quality Improvement - **Combine with market structure**: Look for imbalances near key support/resistance levels - **Volume confirmation**: Higher volume during imbalance formation increases reliability - **Multiple timeframe analysis**: Confirm signals on higher timeframes ### Risk Management - **Position sizing**: Never risk more than 1-2% of account per trade - **Maximum drawdown**: Set overall stop loss for the strategy - **Market hours**: Consider avoiding low liquidity periods ### Performance Monitoring - **Win rate**: Track percentage of profitable trades - **Average R:R**: Monitor actual risk-reward achieved vs. target - **Maximum consecutive losses**: Set alerts for strategy review This strategy works best when combined with proper risk management and market analysis. Always backtest thoroughly before using real money and adjust parameters based on your specific market and trading style.
Strategia Pine Script®
od cgrmetin
The Barking Rat LiteMomentum & FVG Reversion Strategy The Barking Rat Lite is a disciplined, short-term mean-reversion strategy that combines RSI momentum filtering, EMA bands, and Fair Value Gap (FVG) detection to identify short-term reversal points. Designed for practical use on volatile markets, it focuses on precise entries and ATR-based take profit management to balance opportunity and risk. Core Concept This strategy seeks potential reversals when short-term price action shows exhaustion outside an EMA band, confirmed by momentum and FVG signals: EMA Bands: Parameters used: A 20-period EMA (fast) and 100-period EMA (slow). Why chosen: - The 20 EMA is sensitive to short-term moves and reflects immediate momentum. - The 100 EMA provides a slower, structural anchor. When price trades outside both bands, it often signals overextension relative to both short-term and medium-term trends. Application in strategy: - Long entries are only considered when price dips below both EMAs, identifying potential undervaluation. - Short entries are only considered when price rises above both EMAs, identifying potential overvaluation. This dual-band filter avoids counter-trend signals that would occur if only a single EMA was used, making entries more selective.. Fair Value Gap Detection (FVG): Parameters used: The script checks for dislocations using a 12-bar lookback (i.e. comparing current highs/lows with values 12 candles back). Why chosen: - A 12-bar displacement highlights significant inefficiencies in price structure while filtering out micro-gaps that appear every few bars in high-volatility markets. - By aligning FVG signals with candle direction (bullish = close > open, bearish = close < open), the strategy avoids random gaps and instead targets ones that suggest exhaustion. Application in strategy: - Bullish FVGs form when earlier lows sit above current highs, hinting at downward over-extension. - Bearish FVGs form when earlier highs sit below current lows, hinting at upward over-extension. This gives the strategy a structural filter beyond simple oscillators, ensuring signals have price-dislocation context. RSI Momentum Filter: Parameters used: 14-period RSI with thresholds of 80 (overbought) and 20 (oversold). Why chosen: - RSI(14) is a widely recognized momentum measure that balances responsiveness with stability. - The thresholds are intentionally extreme (80/20 vs. the more common 70/30), so the strategy only engages at genuine exhaustion points rather than frequent minor corrections. Application in strategy: - Longs trigger when RSI < 20, suggesting oversold exhaustion. - Shorts trigger when RSI > 80, suggesting overbought exhaustion. This ensures entries are not just technically valid but also backed by momentum extremes, raising conviction. ATR-Based Take Profit: Parameters used: 14-period ATR, with a default multiplier of 4. Why chosen: - ATR(14) reflects the prevailing volatility environment without reacting too much to outliers. - A multiplier of 4 is a pragmatic compromise: wide enough to let trades breathe in volatile conditions, but tight enough to enforce disciplined exits before mean reversion fades. Application in strategy: - At entry, a fixed target is set = Entry Price ± (ATR × 4). - This target scales automatically with volatility: narrower in calm periods, wider in explosive markets. By avoiding discretionary exits, the system maintains rule-based discipline. Visual Signals on Chart Blue “▲” below candle: Potential long entry Orange/Yellow “▼” above candle: Potential short entry Green “✔️”: Trade closed at ATR take profit Blue (20 EMA) & Orange (100 EMA) lines: Dynamic channel reference ⚙️Strategy report properties Position size: 25% equity per trade Initial capital: 10,000.00 USDT Pyramiding: 10 entries per direction Slippage: 2 ticks Commission: 0.055% per side Backtest timeframe: 1-minute Backtest instrument: HYPEUSDT Backtesting range: Jul 28, 2025 — Aug 17, 2025 Note on Sample Size: You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Lite strategy is very selective, filtering out over 90% of market noise. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering. For a larger dataset: Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample. 💡Why 25% Equity Per Trade? While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why: Backtests using this sizing show manageable drawdowns even under volatile periods. The strategy generates a sizeable number of trades, reducing reliance on a single outcome. Combined with conservative filters, the 25% setting offers a balance between aggression and control. Users are strongly encouraged to customize this to suit their risk profile. What makes Barking Rat Lite valuable Combines multiple layers of confirmation: EMA bands + FVG + RSI Adaptive to volatility: ATR-based exits scale with market conditions Clear, actionable visuals: Easy to monitor and manage trades
Strategia Pine Script®
od TheBarkingRat
5
BlackZone LS/SS Scaling Strategy (v6, clean)Below is a single-declaration, clean Pine v6 strategy that implements the same procedure (entry at LS1/LS2/LS3, stop at the candle close at L100, and SS1/SS2/SS3 for short). Uses the original BlackZone core. Long/short gradual entry (LS1/LS2/LS3 – SS1/SS2/SS3). Stop: Preferably close above L100 (trail); you can also choose a classic instant stop (intrabar). Each level is triggered once within the same trend; the counters are reset when the trend flips.
Strategia Pine Script®
od TradeKillZoneTR11
BlackZone Strategy Pro v6 — single declarationSymbol: BTCUSD/BTCUSDT, TF: 1D/4H/1H/30m/15m. Fine-tune the Entry Mode (Trend Flip or F2) with the ATR Period/Factor in "Inputs" and the Position % in "Properties." Why will it work this time? There's only one strategy() in the file. All series are safe initialized (var + nz + na() checks). Everything is written in v6 syntax. You can continue here if you like: Fixed RR target (1.5R/2R) + trail hybrid, MTF confirmation (e.g., 15m trade but 1H Trend==1 requirement), Session filter (London/NY),
Strategia Pine Script®
od TradeKillZoneTR11
Elliott Wave Oscillator + PSAR + VolumeStrategy Logic 1. Indicators Elliott Wave Oscillator (EWO): This oscillator measures the difference between a 5-period and a 35-period exponential moving average (EMA). It's used to identify momentum shifts and potential wave structures. A buy signal is triggered when the EWO crosses above its signal line (a 5-period simple moving average). A sell signal is triggered when it crosses below. Parabolic SAR (PSAR): This indicator shows potential reversals in price direction. A buy signal requires the PSAR to be below the current price, indicating an uptrend. A sell signal requires the PSAR to be above the current price, indicating a downtrend. Volume: The strategy checks for significant changes in volume compared to its 20-period simple moving average (SMA). A buy signal requires a volume increase of at least 20% above the SMA. A sell signal requires a volume decrease of at least 20% below the SMA. EMA 200: This long-term moving average is used to determine the overall market trend. A buy signal is only considered when the EMA 200 is rising (uptrend). A sell signal is only considered when the EMA 200 is falling (downtrend). 2. Entry and Exit Conditions Long (Buy) Entry: A long position is entered if all of the following conditions are met: EWO crosses its signal line upwards. PSAR is below the price. Volume has increased significantly. The EMA 200 is rising. The current candle is a bullish candle (close > open). Short (Sell) Entry: A short position is entered if all of the following conditions are met: EWO crosses its signal line downwards. PSAR is above the price. Volume has decreased significantly. The EMA 200 is falling. The current candle is a bearish candle (close < open). Exit Conditions: Both long and short positions have a fixed 1% take profit and a 1% stop loss to manage risk. In summary, the strategy only enters trades when a combination of momentum (EWO), trend (PSAR, EMA 200), and volume indicators align in the same direction, with strict risk management in place.
Strategia Pine Script®
od EfeErdost