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OneTrend EMAThis strategy uses exponential moving averages (EMA) to define market trend direction and employs a dynamic ATR-based threshold adjusted by a custom ADX calculation to generate bullish (blue) and bearish (pink) zones. It enters long positions when the fast EMA exceeds the threshold (blue zone) and exits when it falls below the threshold (pink zone), providing clear, rule-based signals for trend-following trades. Pros include adaptive thresholding that reflects market volatility and trend strength, while cons are potential lag in sideways or choppy markets and susceptibility to whipsaws in volatile conditions.
Pine Script® strategy
by li1229
Multi-Indicator Swing [TIAMATCRYPTO]This strategy uses a combination of seven powerful technical indicators to identify potential buy and sell signals for swing trading. By requiring confirmation from multiple indicators, the strategy aims to filter out false signals and capture meaningful price movements. Indicators Used EMA Crossover - Fast and slow exponential moving averages to identify trend direction MACD - Momentum indicator showing the relationship between two moving averages RSI - Measures speed and change of price movements to identify overbought/oversold conditions Parabolic SAR - Identifies potential reversal points in price movement Supertrend - Combines trend and volatility to generate clear buy/sell signals ADX - Measures trend strength to filter out low-conviction signals Liquidity Delta - Analyzes bid/ask volume imbalances to detect potential market direction Usage Recommendations Timeframe Selection: This strategy works best on 1-hour to daily timeframes for swing trading Market Application: Most effective in trending markets with clear directional bias Optimization: Test different indicator combinations to find what works best for specific markets Risk Management: Consider adding stop-loss and take-profit levels based on your risk tolerance Notes The strategy uses a clean interface that displays only buy/sell signals for clearer chart analysis An information panel shows active indicators and testing period All calculations are performed even for disabled indicators but they won't affect signal generation The backtesting period can be adjusted according to your analysis needs This multi-indicator approach to swing trading aims to provide high-quality signals by requiring confirmation from multiple technical perspectives, potentially reducing false signals and improving overall trading results.
Pine Script® strategy
by TiamatCrypto
Williams R Zone Scalper v1.0[BullByte]Originality & Usefulness Unlike standard Williams R cross-over scripts, this strategy layers five dynamic filters—moving-average trend, Supertrend, Choppiness Index, Bollinger Band Width, and volume validation —and presents a real-time dashboard with equity, PnL, filter status, and key indicator values. No other public Pine script combines these elements with toggleable filters and a custom dashboard. In backtests (BTC/USD (Binance), 5 min, 24 Mar 2025 → 28 Apr 2025), adding these filters turned a –2.09 % standalone Williams R into a +5.05 % net winner while cutting maximum drawdown in half. --- What This Script Does - Monitors Williams R (length 14) for overbought/oversold reversals. - Applies up to five dynamic filters to confirm trend strength and volatility direction: - Moving average (SMA/EMA/WMA/HMA) - Supertrend line - Choppiness Index (CI) - Bollinger Band Width (BBW) - Volume vs. its 50-period MA - Plots blue arrows for Long entries (R crosses above –80 + all filters green) and red arrows for Short entries (R crosses below –20 + all filters green). - Optionally sets dynamic ATR-based stop-loss (1.5×ATR) and take-profit (2×ATR). - Shows a dashboard box with current position, equity, PnL, filter status, and real-time Williams R / MA/volume values. --- Backtest Summary (BTC/USD(Binance), 5 min, 24 Mar 2025 → 28 Apr 2025) • Total P&L : +50.70 USD (+5.05 %) • Max Drawdown : 31.93 USD (3.11 %) • Total Trades : 198 • Win Rate : 55.05 % (109/89) • Profit Factor : 1.288 • Commission : 0.01 % per trade • Slippage : 0 ticks Even in choppy March–April, this multi-filter approach nets +5 % with a robust risk profile, compared to –2.09 % and higher drawdown for Williams R alone. --- Williams R Alone vs. Multi-Filter Version • Total P&L : – Williams R alone → –20.83 USD (–2.09 %) – Multi-Filter → +50.70 USD (+5.05 %) • Max Drawdown : – Williams R alone → 62.13 USD (6.00 %) – Multi-Filter → 31.93 USD (3.11 %) • Total Trades : 543 vs. 198 • Win Rate : 60.22 % vs. 55.05 % • Profit Factor : 0.943 vs. 1.288 --- Inputs & What They Control - wrLen (14): Williams R look-back - maType (EMA): Trend filter type (SMA, EMA, WMA, HMA) - maLen (20): Moving-average period - useChop (true): Toggle Choppiness Index filter - ciLen (12): CI look-back length - chopThr (38.2): CI threshold (below = trending) - useVol (true): Toggle volume-above-average filter - volMaLen (50): Volume MA period - useBBW (false): Toggle Bollinger Band Width filter - bbwMaLen (50): BBW MA period - useST (false): Toggle Supertrend filter - stAtrLen (10): Supertrend ATR length - stFactor (3.0): Supertrend multiplier - useSL (false): Toggle ATR-based SL/TP - atrLen (14): ATR period for SL/TP - slMult (1.5): SL = slMult × ATR - tpMult (2.0): TP = tpMult × ATR --- How to Read the Chart - Blue arrow (Long): Williams R crosses above –80 + all enabled filters green - Red arrow (Short) : Williams R crosses below –20 + all filters green - Dashboard box: - Top : position and equity - Next : cumulative PnL in USD & % - Middle : green/white dots for each filter (green=passing, white=disabled) - Bottom : Williams R, MA, and volume current values --- Usage Tips - Add the script : Indicators → My Scripts → Williams R Zone Scalper v1.0 → Add to BTC/USD chart on 5 min. - Defaults : Optimized for BTC/USD. - Forex majors : Raise `chopThr` to ~42. - Stocks/high-beta : Enable `useBBW`. - Enable SL/TP : Toggle `useSL`; stop-loss = 1.5×ATR, take-profit = 2×ATR apply automatically. --- Common Questions - * Why not trade every Williams R reversal?* Raw Williams R whipsaws in sideways markets. Choppiness and volume filters reduce false entries. - *Can I use on 1 min or 15 min?* Yes—adjust ATR length or thresholds accordingly. Defaults target 5 min scalping. - *What if all filters are on?* Fewer arrows, higher-quality signals. Expect ~10 % boost in average win size. --- Disclaimer & License Trading carries risk of loss. Use this script “as is” under the Mozilla Public License 2.0 (mozilla.org). Always backtest, paper-trade, and adjust risk settings to your own profile. --- Credits & References - Pine Script v6, using TradingView’s built-in `ta.supertrend()`. - TradingView House Rules: www.tradingview.com Goodluck! BullByte
Pine Script® strategy
by BullByte
Sharpe Ratio Forced Selling StrategyThis study introduces the “Sharpe Ratio Forced Selling Strategy”, a quantitative trading model that dynamically manages positions based on the rolling Sharpe Ratio of an asset’s excess returns relative to the risk-free rate. The Sharpe Ratio, first introduced by Sharpe (1966), remains a cornerstone in risk-adjusted performance measurement, capturing the trade-off between return and volatility. In this strategy, entries are triggered when the Sharpe Ratio falls below a specified low threshold (indicating excessive pessimism), and exits occur either when the Sharpe Ratio surpasses a high threshold (indicating optimism or mean reversion) or when a maximum holding period is reached. The underlying economic intuition stems from institutional behavior. Institutional investors, such as pension funds and mutual funds, are often subject to risk management mandates and performance benchmarking, requiring them to reduce exposure to assets that exhibit deteriorating risk-adjusted returns over rolling periods (Greenwood and Scharfstein, 2013). When risk-adjusted performance improves, institutions may rebalance or liquidate positions to meet regulatory requirements or internal mandates, a behavior that can be proxied effectively through a rising Sharpe Ratio. By systematically monitoring the Sharpe Ratio, the strategy anticipates when “forced selling” pressure is likely to abate, allowing for opportunistic entries into assets priced below fundamental value. Exits are equally mechanized, either triggered by Sharpe Ratio improvements or by a strict time-based constraint, acknowledging that institutional rebalancing and window-dressing activities are often time-bound (Coval and Stafford, 2007). The Sharpe Ratio is particularly suitable for this framework due to its ability to standardize excess returns per unit of risk, ensuring comparability across timeframes and asset classes (Sharpe, 1994). Furthermore, adjusting returns by a dynamically updating short-term risk-free rate (e.g., US 3-Month T-Bills from FRED) ensures that macroeconomic conditions, such as shifting interest rates, are accurately incorporated into the risk assessment. While the Sharpe Ratio is an efficient and widely recognized measure, the strategy could be enhanced by incorporating alternative or complementary risk metrics: • Sortino Ratio: Unlike the Sharpe Ratio, the Sortino Ratio penalizes only downside volatility (Sortino and van der Meer, 1991). This would refine entries and exits to distinguish between “good” and “bad” volatility. • Maximum Drawdown Constraints: Integrating a moving window maximum drawdown filter could prevent entries during persistent downtrends not captured by volatility alone. • Conditional Value at Risk (CVaR): A measure of expected shortfall beyond the Value at Risk, CVaR could further constrain entry conditions by accounting for tail risk in extreme environments (Rockafellar and Uryasev, 2000). • Dynamic Thresholds: Instead of static Sharpe thresholds, one could implement dynamic bands based on the historical distribution of the Sharpe Ratio, adjusting for volatility clustering effects (Cont, 2001). Each of these risk parameters could be incorporated into the current script as additional input controls, further tailoring the model to different market regimes or investor risk appetites. References • Cont, R. (2001) ‘Empirical properties of asset returns: stylized facts and statistical issues’, Quantitative Finance, 1(2), pp. 223-236. • Coval, J.D. and Stafford, E. (2007) ‘Asset Fire Sales (and Purchases) in Equity Markets’, Journal of Financial Economics, 86(2), pp. 479-512. • Greenwood, R. and Scharfstein, D. (2013) ‘The Growth of Finance’, Journal of Economic Perspectives, 27(2), pp. 3-28. • Rockafellar, R.T. and Uryasev, S. (2000) ‘Optimization of Conditional Value-at-Risk’, Journal of Risk, 2(3), pp. 21-41. • Sharpe, W.F. (1966) ‘Mutual Fund Performance’, Journal of Business, 39(1), pp. 119-138. • Sharpe, W.F. (1994) ‘The Sharpe Ratio’, Journal of Portfolio Management, 21(1), pp. 49-58. • Sortino, F.A. and van der Meer, R. (1991) ‘Downside Risk’, Journal of Portfolio Management, 17(4), pp. 27-31.
Pine Script® strategy
by EdgeTools
PG MA Crossover Buy and Sell Options Special"If you've ever felt frustrated with buy-and-hold during volatile periods, this strategy gives you a smart, disciplined edge to actively manage your trades based on market strength, not hope. Give it a try, tweak the settings to suit your style, and unlock better consistency over time!" // PG MA Crossover Direction Strategy — Quick Overview // 📈 Entry: // Long when MA is rising + price moves above it. // Short when MA is falling + price moves below it. // Smart re-entries near MA allowed. // 📉 Exit: // Long exit if price falls X% from top OR drops below MA. // Short exit if price rises X% from low OR rises above MA. // 🛡️ Stop Loss: // Shorts have a hard stop-loss above entry to cap losses. // 🎯 Goal: // Beat Buy-and-Hold by riding strong trends, exiting early from weak ones, and managing risk dynamically. // Designed for traders who want higher consistency and lower volatility over time. // 🚀 Tip: // Tweak the % thresholds and MA type/length for best results on your asset!
Pine Script® strategy
by ipuneet
PEAD strategy█  OVERVIEW This strategy trades the classic post-earnings announcement drift (PEAD). It goes long only when the market gaps up after a positive EPS surprise. █  LOGIC 1 — Earnings filter — EPS surprise > epsSprThresh  % 2 — Gap filter — first regular 5-minute bar gaps ≥ gapThresh  % above yesterday’s close 3 — Timing — only the first qualifying gap within one trading day of the earnings bar 4 — Momentum filter — last perfDays trading-day performance is positive 5 — Risk management   • Fixed stop-loss: stopPct  % below entry   • Trailing exit: price < Daily EMA( emaLen ) █  INPUTS • Gap up threshold (%) — 1 (gap size for entry) • EPS surprise threshold (%) — 5 (min positive surprise) • Past price performance — 20 (look-back bars for trend check) • Fixed stop-loss (%) — 8 (hard stop distance) • Daily EMA length — 30 (trailing exit length) Note — Back-tests fill on the second 5-minute bar (Pine limitation). Live trading: enable calc_on_every_tick=true for first-tick entries. ──────────────────────────────────────────── █  概要（日本語） 本ストラテジーは決算後の PEAD を狙い、 EPS サプライズがプラス かつ 寄付きギャップアップ が発生した銘柄をスイングで買い持ちします。 █  ロジック 1 — 決算フィルター — EPS サプライズ > epsSprThresh  % 2 — ギャップフィルター — レギュラー時間最初の 5 分足が前日終値＋ gapThresh  %以上 3 — タイミング — 決算当日または翌営業日の最初のギャップのみエントリー 4 — モメンタムフィルター — 過去 perfDays 営業日の騰落率がプラス 5 — リスク管理   • 固定ストップ：エントリー − stopPct  %   • 利確：終値が日足 EMA( emaLen ) を下抜け █  入力パラメータ • Gap up threshold (%) — 1 (ギャップ条件) • EPS surprise threshold (%) — 5 (EPS サプライズ最小値) • Past price performance — 20 (パフォーマンス判定日数) • Fixed stop-loss (%) — 8 (固定ストップ幅) • Daily EMA length — 30 (利確用 EMA 期間) 注意 — Pine の仕様上、バックテストでは寄付き 5 分足の次バーで約定します。 実運用で寄付き成行に合わせたい場合は calc_on_every_tick=true を有効にしてください。 ──── ご意見や質問があればお気軽にコメントください。 Happy trading!
Pine Script® strategy
by Monty_trader
NQ EMA Pullback Strategy [1min]📈 Strategy Name: Momentum Pullback with Trend Confirmation 🛠 Indicators Used: 9 EMA (fast) 20 EMA (medium) 50 EMA (trend) ✅ Trade Setup – Long Entry: Trend Confirmation: 9 EMA > 20 EMA > 50 EMA (all stacked bullish) Price must be above the 50 EMA Pullback Entry: Wait for a pullback where price touches or dips slightly below the 20 EMA. 9 EMA must remain above the 20 EMA. Entry Trigger: Enter long when a bullish candle closes above the 9 EMA after the pullback. Stop Loss: Below the swing low of the pullback or below the 50 EMA, whichever is tighter. Take Profit: Use a 2:1 reward-to-risk ratio or exit when price extends significantly above the 9 EMA and shows signs of reversal (e.g., bearish engulfing candle). ❌ Short Entry (Opposite Conditions): Trend Confirmation: 9 EMA < 20 EMA < 50 EMA (stacked bearish) Price must be below the 50 EMA Pullback Entry: Price touches or breaks slightly above the 20 EMA 9 EMA stays below 20 EMA Entry Trigger: Enter short when a bearish candle closes below the 9 EMA after the pullback. Stop Loss: Above the swing high or the 50 EMA. Take Profit: 2:1 reward-to-risk ratio or when price stretches far from 9 EMA and stalls. 🔄 Optional Filters: Volume Spike: Confirm entry with a volume increase. Time Filter: Trade only between 9:45 AM – 11:30 AM EST and 1:30 PM – 3:30 PM EST (avoid lunch hour and opening volatility).
Pine Script® strategy
by dillonmcdermott
Breadth-Driven Swing StrategyWhat it does This script trades the S&P 500 purely on market breadth extremes: • Data source : INDEX:S5TH = % of S&P 500 stocks above their own 200-day SMA (range 0–100). • Buy when breadth is washed-out. • Sell when breadth is overheated. It is long-only by design; shorting and ATR trailing stops have been removed to keep the logic minimal and transparent. ⸻ Signals in plain English 1. Long entry A. A 200-EMA trough in bread­th is printed and the trough value is ≤ 40 %. or B. A 5-EMA trough appears, its prominence passes the user threshold, and the lowest breadth reading in the last 20 bars is ≤ 20 %. (Toggle this secondary trigger on/off with “ Enter also on 5-EMA trough ”.) 2. Exit (close long) First 200-EMA peak whose breadth value is ≥ 70 %. 3. Risk control A fixed stop-loss (% of entry price, default 8 %) is attached to every long trade. ⸻ Key parameters (defaults shown) • Long EMA length 200 • Short EMA length 5 • Peak prominence 0.5 pct-pts • Trough prominence 3 pct-pts • Peak level 70 % • Trough level 40 % • 5-EMA trough level 20 % • Fixed stop-loss 8 % • “Enter also on 5-EMA trough” = true (allows additional entries on extreme momentum reversals) Feel free to tighten or relax any of these thresholds to match your risk profile or account for different market regimes. ⸻ How to use it 1. Load the script on a daily SPX / SPY chart. (The price chart drives order execution; the breadth series is pulled internally and does not need to be on the chart.) 2. Verify the breadth feed. INDEX:S5TH is updated after each session; your broker must provide it. 3. Back-test across several cycles. Two decades of daily data is recommended to see how the rules behave in bear markets, range markets, and bull trends. 4. Adjust position sizing in the Properties tab. The default is “100 % of equity”; change it if you prefer smaller allocations or pyramiding caps. ⸻ Why it can help • Breadth signals often lead price, allowing entries before index-level momentum turns. • Simple, rule-based exits prevent “waiting for confirmation” paralysis. • Only one input series—easy to audit, no black-box math. Trade-offs • Relies on a single breadth metric; other internals (advance/decline, equal-weight returns, etc.) are ignored. • May sit in cash during shallow pullbacks that never push breadth ≤ 40 %. • Signals arrive at the end of the session (breadth is EoD data). ⸻ Disclaimer This script is provided for educational purposes only and is not financial advice. Markets are risky; test thoroughly and use your own judgment before trading real money. ストラテジー概要 本スクリプトは S&P500 のマーケットブレッド（内部需給） だけを手がかりに、指数をスイングトレードします。 • ブレッドデータ : INDEX:S5TH （S&P500 採用銘柄のうち、それぞれの 200 日移動平均線を上回っている銘柄比率。0–100 %） • 買い : ブレッドが極端に売られたタイミング。 • 売り : ブレッドが過熱状態に達したタイミング。 余計な機能を削り、ロングオンリー & 固定ストップ のシンプル設計にしています。 ⸻ シグナルの流れ 1. ロングエントリー • 条件 A : 200-EMA がトラフを付け、その値が 40 % 以下 • 条件 B : 5-EMA がトラフを付け、       ・プロミネンス条件を満たし       ・直近 20 本のブレッドス最小値が 20 % 以下 • B 条件は「5-EMA トラフでもエントリー」を ON にすると有効 2. ロング決済 最初に出現した 200-EMA ピーク で、かつ値が 70 % 以上 のバーで手仕舞い。 3. リスク管理 各トレードに 固定ストップ（初期価格から 8 %）を設定。 ⸻ 主なパラメータ（デフォルト値） • 長期 EMA 長さ : 200 • 短期 EMA 長さ : 5 • ピーク判定プロミネンス : 0.5 %pt • トラフ判定プロミネンス : 3 %pt • ピーク水準 : 70 % • トラフ水準 : 40 % • 5-EMA トラフ水準 : 20 % • 固定ストップ : 8 % • 「5-EMA トラフでもエントリー」 : ON 相場環境やリスク許容度に合わせて閾値を調整してください。 ⸻ 使い方 1. 日足の SPX / SPY チャート にスクリプトを適用。 2. ブレッドデータの供給 (INDEX:S5TH) がブローカーで利用可能か確認。 3. 20 年以上の期間でバックテスト し、強気相場・弱気相場・レンジ局面での挙動を確認。 4. 資金配分 は プロパティ → 戦略実行 で調整可能（初期値は「資金の 100 %」）。 ⸻ 強み • ブレッドは 価格より先行 することが多く、天底を早期に捉えやすい。 • ルールベースの出口で「もう少し待とう」と迷わずに済む。 • 入力 series は 1 本のみ、ブラックボックス要素なし。 注意点・弱み • 単一指標に依存。他の内部需給（A/D ライン等）は考慮しない。 • 40 % を割らない浅い押し目では機会損失が起こる。 • ブレッドは終値ベースの更新。ザラ場中の変化は捉えられない。 ⸻ 免責事項 本スクリプトは 学習目的 で提供しています。投資助言ではありません。 実取引の前に必ず自己責任で十分な検証とリスク管理を行ってください。
Pine Script® strategy
by Monty_trader
Wyckoff Advanced Swing Strategy by TIAMATCRYPTOStrategy Overview This custom TradingView strategy combines four powerful trading methodologies - Wyckoff Market Cycles, Price Map Profiling, Mean Reversion, and Trend Following - into a comprehensive swing trading system. It provides extensive customization options and can be tailored for medium to long-term trading positions. Key Components 1. Wyckoff Analysis This component focuses on identifying market cycle phases as described by Richard D. Wyckoff: Accumulation Phase: Identifies periods of smart money accumulation with above-average volume and falling price highs Markup Phase: Detects strong uptrends with increasing prices supported by volume Distribution Phase: Recognizes when smart money begins to distribute positions near market tops Markdown Phase: Identifies downtrends when institutional investors are exiting positions Special Formations: Detects "spring" patterns (false breakdowns followed by rapid reversals) and "upthrust" patterns (false breakouts) 2. Price Map Profile Implements a simplified version of Market Profile / Volume Profile concepts: Calculates Point of Control (POC) - the price level with the highest theoretical activity Defines Value Area High (VAH) and Value Area Low (VAL) to establish the range where most price action occurs Visual representation of these key levels to identify potential support and resistance zones 3. Mean Reversion Identifies potential reversal points when price moves to extremes: Uses Bollinger Bands to define overbought and oversold price zones Incorporates RSI divergence to confirm potential reversals Requires multiple confirmation signals to avoid false entries in strong trends Employs pattern recognition for higher probability mean reversion trade setups 4. Trend Following Captures medium to long-term directional price movements: Utilizes multiple moving averages (9, 21, 50, 200 EMAs) to confirm trend direction and strength MACD analysis for momentum confirmation and trend intensity Higher timeframe trend alignment through recent price structure analysis Requires clear higher highs/higher lows (or lower highs/lower lows) for trade confirmation Advanced Features Risk Management Optional automatic Take Profit and Stop Loss based on ATR (Average True Range) Trailing stop functionality that adjusts to market volatility Position sizing as a percentage of equity for proper risk management Multiple exit strategies based on time, price, or indicator signals Time-Based Filters Customizable date range for backtesting historical performance Trading day filters to avoid entering positions on less favorable days (Fridays/Mondays) Minimum and maximum holding periods to match swing trading timeframes Smart exit timing based on market conditions and holding duration Signal Optimization Combined signal approach requiring confirmation from multiple systems Candlestick pattern analysis for enhanced entry timing RSI-based position exit rules to capture profits at overbought/oversold conditions Advanced filtering to reduce false signals and avoid low-probability setups Practical Applications This strategy is designed for swing traders who: Hold positions for several days to weeks Prefer to analyze multiple factors before entering trades Want to align with institutional money flow through Wyckoff principles Seek a balance between trend-following and reversal opportunities Require flexible risk management options The system works best on daily timeframes for equities, forex, commodities, and cryptocurrency markets with sufficient liquidity. It can be used as a standalone trading system or as a confirmation tool alongside other analysis methods. Strategy Parameters All major components can be enabled or disabled independently: Wyckoff Analysis Price Map Profiling Mean Reversion Trend Following Risk parameters, timeframes, and technical indicators can be extensively customized to match individual trading preferences, market conditions, and risk tolerance.
Pine Script® strategy
by TiamatCrypto
SuperTrade ST1 StrategyThis strategy leverages the Supertrend indicator to identify trend direction and capture key entry and exit points in the market. By utilizing ATR (Average True Range) for dynamic stop-loss and take-profit levels, this script adapts to varying market conditions for improved risk management. Key Features Supertrend Indicator: Defines the trend direction and generates buy/sell signals based on trend reversal points. ATR-based Exits: Take Profit and Stop Loss are dynamically calculated using ATR multipliers to accommodate market volatility. Customizable Inputs: Fine-tune the ATR Length, Supertrend Factor, and ATR multipliers for take-profit and stop-loss according to your strategy preferences. Visual Indicators: Buy and Sell signals are clearly marked with labels on the chart, and the Supertrend line is color-coded for easy trend identification. Background Trend Highlighting: The chart background changes color based on the prevailing trend to make it easier to follow the market direction. This strategy is perfect for traders looking to ride trends while managing risk with smart, automated exits.
Pine Script® strategy
by SupertradeOfficial
Nifty 3-min Options Pro Strategy (Fixed Version)This strategy is designed specifically for high-probability intraday options trading on the Nifty 3-5 minute chart. It intelligently combines CPR (Central Pivot Range) and VWAP to define the market's bias (bullish or bearish) and detects Inside Bar Breakouts to pinpoint low-risk, high-reward entries. The strategy automatically: Identifies Buy Signals for CE (Call Options) when conditions are bullish. Identifies Buy Signals for PE (Put Options) when conditions are bearish. Plots dynamic CPR and VWAP levels on the chart. Applies ATR-based Stop Loss and trailing stop loss for risk management. Generates real-time alerts for quick trading actions. The trading logic is time-filtered to operate only during optimal intraday hours (9:00 AM to 2:30 PM), avoiding low-volume traps and volatile close sessions. Designed to help traders capture strong directional moves early, this strategy is perfect for Nifty scalpers and intraday options traders aiming for consistent profitability.
Pine Script® strategy
by munishtiy