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ค่าเฉลี่ยเคลื่อนที่แบบเอกซ์โพเนนเชียล (EMA)

Options Strategy V2.0📈 Options Strategy V2.0 – Intraday Reversal-Resilient Momentum System Overview: This strategy is designed specifically for intraday SPY, TSLA, MSFT, etc. options trading (0DTE or 1DTE), using high-probability signals derived from a confluence of technical indicators: EMA crossovers, RSI thresholds, ATR-based risk control, and volume spikes. The strategy aims to capture strong directional moves while avoiding overtrading, thanks to a built-in cooldown logic and optional time/session filters. ⚙️ Core Concept The strategy executes trades only in the direction of the prevailing trend, determined by short- and long-term Exponential Moving Averages (EMA). Entry signals are generated when the Relative Strength Index (RSI) confirms momentum in the direction of the trend, and volume spikes suggest institutional activity. To increase adaptability and user control, it includes a highly customizable parameter set for both long and short entries independently. 📌 Key Features ✅ Trend-Following Logic Long entries are only allowed when EMA(short) > EMA(long) Short entries are only allowed when EMA(short) < EMA(long) ✅ RSI Confirmation Long: Requires RSI crossover above a configurable threshold Short: Requires RSI crossunder below a configurable threshold Optional rejection filters: Entry blocked above/below specific RSI extremes ✅ Volume Spike Filter Confirms institutional participation by comparing current volume to an average multiplied by a user-defined factor. ✅ ATR-Based Risk Management Both Stop Loss (SL) and Take Profit (TP) are dynamically calculated using ATR × a multiplier. TP/SL ratio is fully configurable. ✅ Cooldown Control After every trade, the system waits for a set number of bars before allowing new entries. This prevents overtrading and increases signal quality. Optionally, cooldown is ignored for reversal trades, ensuring the system can react immediately to a confirmed trend change. ✅ Candle Body Filter (Noise Control) Avoids trades on candles with too small bodies relative to wicks (often noise or indecision candles). ✅ VWAP Confirmation (Optional) Ensures price is trading above VWAP for long entries, or below for short entries. ✅ Time & Session Filters Trades only during regular market hours (09:30–16:00 EST). No-trade zone (e.g., 14:15–15:45 EST) to avoid low-liquidity traps or late-day whipsaws. ✅ End-of-Day Auto Close All open positions are force-closed at 15:55 EST, protecting against overnight risk (especially relevant for 0DTE options). 📊 Visual Aids EMA plots show trend direction VWAP line provides real-time mean-reversion context Stop Loss and Take Profit lines appear dynamically with each trade Alerts notify of entry signals and exit triggers 🔧 Customization Panel Nearly every element of the strategy can be tailored: EMA lengths (short and long, for both sides) RSI thresholds and length ATR length, SL multiplier, and TP/SL ratio Volume spike sensitivity Minimum EMA distance filter Candle body ratio filter Session restrictions Cooldown logic (duration + reversal exception) This makes the strategy extremely versatile, allowing both conservative and aggressive configurations depending on the trader’s profile and the market context. 📌 Example Use Case: SPY Options (0DTE or 1DTE) This system was designed and tested specifically for SPY and other intraday options trading, where: Delta is around 0.50 or higher Trades are short-lived (often 1–5 candles) You aim to trade 1–3 signals per day, filtering out weak entries 🚫 Important Notes It is not a scalping strategy; it relies on confirmed breakouts with trend support No pyramiding or re-entries without cooldown to preserve risk integrity Should be used with real-time alerts and manual broker execution 📈 Alerts Included 📈 Long Entry Signal 📉 Short Entry Signal ⚠️ Auto-closed all positions at 15:55 EST ✅ Proven Settings – Real Trades + Backtest Results The current version of the strategy includes the optimal settings I’ve arrived at through extensive backtesting, as well as 3 months of real trading with consistent profitability. These results reflect real-world execution under live market conditions using 0DTE SPY options, with disciplined trade management and risk control. 🧠 Final Thoughts Options Strategy V2.0 is a robust, highly tunable intraday strategy that blends momentum, trend-following, and volume confirmation. It is ideal for disciplined traders focused on SPY or other 0DTE/1DTE options, and it includes guardrails to reduce false signals and improve execution timing. Perfect for those who seek precision, flexibility, and risk-defined setups—not blind automation.
กลยุทธ์ Pine Script®
โดย olaszvandor
Combo 2/20 EMA & Bandpass Filter by TamarokDescription: This strategy combines a 2/20 exponential moving average (EMA) crossover with a custom bandpass filter to generate buy and sell signals. Use the Fast EMA and Slow EMA inputs to adjust trend sensitivity, and the Bandpass Filter Length, Delta, and Zones to fine-tune momentum turns. Signals occur when both EMA and BPF agree in direction, with optional reversal and time filters. How to use: 1. Add the script to your chart in TradingView. 2. Adjust the EMA and BP Filter parameters to match your asset’s volatility. 3. Enable ‘Reverse Signals’ to trade counter-trend, or use the time filter to limit sessions. 4. Set alerts on Long Alert and Short Alert for automated notifications. Inspiration: Based on HPotter’s original combo strategy (Stocks & Commodities Mar 2010). Updated to Pine Script v6 with streamlined code and alerts. WARNING: For purpose educate only
กลยุทธ์ Pine Script®
โดย tamarok
EMA Grid + Martingale Strategy (Long-Only) with CooldownTitle: EMA Grid + Martingale Strategy (Long-Only) with Cooldown Short Summary: A long-only strategy combining EMA trend filters, grid-based entries, optional martingale sizing, and a cooldown feature to manage position timing and exits. Full Description: This strategy uses a 4-EMA trend confirmation system to detect bullish momentum, then deploys a grid-style entry method with optional martingale position sizing. It includes a cooldown mechanism to prevent reentry too soon after a completed trade cycle. How It Works 1. Trend Confirmation: Two EMA groups (fast/slow) determine whether market conditions are bullish. 2. Initial Entry: A new position is entered when both EMA groups confirm an uptrend and no position is currently active. 3. Grid Entries: Additional long entries are placed when price drops by a defined pip distance from the last entry, respecting the maximum number of entries. 4. Martingale Sizing (Optional): Grid orders can increase in size with each level using a customizable multiplier. 5. Weighted-Average Exit: All positions close once price reaches or exceeds the average entry price plus a buffer. 6. Cooldown Timer: After closing a position set, the strategy waits a defined number of bars before opening a new grid. Key Features • 4 customizable EMAs for trend confirmation. • Dynamic grid-style long entries based on pip intervals. • Optional martingale-style position sizing. • Weighted-average price exit logic with buffer control. • Cooldown bar period to limit overtrading. • Suitable for optimization and backtesting with full control over inputs. Use Cases • Designed for trending markets where pullbacks present entry opportunities. • Helps manage staged entries while avoiding premature reentry. • Ideal for testing martingale and grid-based strategies with exit precision. Note: This strategy is for testing and educational purposes only. It does not guarantee profits and is not financial advice.
กลยุทธ์ Pine Script®
โดย Dreeco7
Refined MA + Engulfing (M5 + Confirmed Structure Break)I would like to start by saying that this strategy was put together using ChatGPT, some past trades from myself and some backtested trades, and from my time as a student in Wallstreet Academy under Cue Banks. I am not profitable yet. I am too jumpy and blow accounts. I'm hoping this strategy (and it's indicator twin) can help me spend less time on the charts, so that I'm not tempted to press buttons as much. It does fire quite a bit. But, the Strategy Tester tab shows a 30% win rate with our wins being significant to our losses. So, in theory, if you followed the rules of this strategy STRICTLY, you COULD BE profitable. With that being said, there are times that this strategy has shown to trigger and I ask, "Why?". I just want to help myself and others, and maybe make some decent\cool stuff along the way. Enjoy KR
กลยุทธ์ Pine Script®
โดย IamKRfx
EMA and Dow Theory Strategies🌐 Strategy Description 📘 Overview This is a hybrid strategy that combines EMA crossovers, Dow Theory swing logic, and multi-timeframe trend overlays. It is suitable for intraday to short-term trading on any asset class: crypto, forex, stocks, and indices. The strategy provides precise entry/exit signals, dynamic stop-loss and scale-out, and highly visual trade guidance. 🧠 Key Features ・Dual EMA crossover system (applied to both symbol and external index) ・Dow Theory-based swing high/low detection for trend confirmation ・Visual overlay of higher timeframe swing trend (htfTrend) ・RSI filter to avoid overbought/oversold entries ・Dynamic partial take-profit when trend weakens ・Custom stop-loss (%) control ・Visualized trade PnL labels directly on chart ・Alerts for entry, stop-loss, partial exit ・Gradient background zones for swing zones and trend visualization ・Auto-tracked metrics: APR, drawdown, win rate, equity curve ⚙️ Input Parameters | Parameter | Description | | ------------------------- | -------------------------------------------------------- | | Fast EMA / Slow EMA | Periods for detecting local trend via EMAs | | Index Fast EMA / Slow EMA | EMAs applied to external reference index | | StopLoss | Maximum loss threshold in % | | ScaleOut Threshold | Scale-out percentage when trend changes color | | RSI Period / Levels | RSI period and overbought/oversold levels | | Swing Detection Length | Number of bars used to detect swing highs/lows | | Stats Display Options | Toggle PnL labels and position of statistics table | 🧭 About htfTrend (Higher Timeframe Trend) The script includes a higher timeframe trend (htfTrend) calculated using Dow Theory (pivot highs/lows). This trend is only used for visual guidance, not for actual entry conditions. Why? Strictly filtering trades by higher timeframe often leads to missed opportunities and low frequency. By keeping htfTrend visual-only, traders can still refer to macro structure but retain trade flexibility. Use it as a contextual tool, not a constraint. ストラテジー説明 📘 概要 本ストラテジーは、EMAクロスオーバー、ダウ理論によるスイング判定、**上位足トレンドの視覚表示（htfTrend）**を組み合わせた複合型の短期トレーディング戦略です。 仮想通貨・FX・株式・指数など幅広いアセットに対応し、デイトレード〜スキャルピング用途に適しています。 動的な利確/損切り、視覚的にわかりやすいエントリー/イグジット、統計表示を搭載しています。 🧠 主な機能 ・対象銘柄＋外部インデックスのEMAクロスによるトレンド判定 ・ダウ理論に基づいたスイング高値・安値検出とトレンド判断 ・上位足スイングトレンド（htfTrend）の視覚表示 ・RSIフィルターによる過熱・売られすぎの回避 ・トレンドの弱まりに応じた部分利確（スケールアウト） ・**損切り閾値（％）**をカスタマイズ可能 ・チャート上に損益ラベル表示 ・アラート完備（エントリー・決済・部分利確） ・トレンドゾーンを可視化する背景グラデーション ・勝率・ドローダウン・APR・資産増加率などの自動表示 | 設定項目名 | 説明内容 | | --------------------- | -------------------------- | | Fast EMA / Slow EMA | 銘柄に対して使用するEMAの期間設定 | | Index Fast / Slow EMA | 外部インデックスのEMA設定 | | 損切り（StopLoss） | 損切りラインのしきい値（%で指定） | | 部分利確しきい値 | トレンド弱化時にスケールアウトする割合（%） | | RSI期間・水準 | RSI計算期間と、過熱・売られすぎレベル設定 | | スイング検出期間 | スイング高値・安値の検出に使用するバー数 | | 統計表示の切り替え | 損益ラベルや統計テーブルの表示／非表示選択 | 🧭 上位足トレンド（htfTrend）について 本スクリプトには、上位足でのスイング高値・安値の更新に基づく**htfTrend（トレンド判定）が含まれています。 これは視覚的な参考情報であり、エントリーやイグジットには直接使用されていません。** その理由は、上位足を厳密にロジックに組み込むと、トレード機会の損失が増えるためです。 このスクリプトでは、**判断の補助材料として「表示のみに留める」**設計を採用しています。 → 裁量で「利確を早める」「逆張りを避ける」判断に活用可能です。
กลยุทธ์ Pine Script®
โดย mm_mitsuya
LANZ Strategy 5.0 [Backtest]🔷 LANZ Strategy 5.0 — Rule-Based BUY Logic with Time Filter, Session Limits and Auto SL/TP Execution This is the backtest version of LANZ Strategy 5.0, built as a strategy script to evaluate real performance under fixed intraday conditions. It automatically places BUY and SELL trades based on structured candle confirmation, EMA trend alignment, and session-based filters. The system simulates real-time execution with precise Stop Loss and Take Profit levels. 📌 Built for traders seeking to simulate clean intraday logic with fully automated entries and performance metrics. 🧠 Core Logic & Strategy Conditions ✅ BUY Signal Conditions: Price is above the EMA200 The last 3 candles are bullish (close > open) The signal occurs within the defined session window (NY time) Daily trade limit has not been exceeded If all are true, a BUY order is executed at market, with SL and TP set immediately. 🔻 SELL Signal Conditions (Optional): Exactly inverse to BUY (below EMA + 3 bearish candles). Disabled by default. 🕐 Operational Time Filter (New York Time) You can fully customize your intraday window: Start Time: e.g., 01:15 NY End Time: e.g., 16:00 NY The system evaluates signals only within this range, even across midnight if configured. 🔁 Trade Management System One trade at a time per signal Trades include a Stop Loss (SL) and Take Profit (TP) based on pip distance Trade result is calculated automatically Each signal is shown with a triangle marker (BUY only, by default) 🧪 Backtest Accuracy This version uses: strategy.order() for entries strategy.exit() for SL and TP strategy.close_all() at the configured manual closing time This ensures realistic behavior in the TradingView strategy tester. ⚙️ Flow Summary (Step-by-Step) On every bar, check: Is the time within the operational session? Is the price above the EMA? Are the last 3 candles bullish? If conditions met → A BUY trade is opened: SL = entry – X pips TP = entry + Y pips Trade closes: If SL or TP is hit Or at the configured manual close time (e.g., 16:00 NY) 📊 Settings Overview Timeframe: 1-hour (ideal) SL/TP: Configurable in pips Max trades/day: User-defined (default = 99 = unlimited) Manual close: Adjustable by time Entry type: Market (not limit) Visuals: Plotshape triangle for BUY entry 👨‍💻 Credits: 💡 Developed by: LANZ 🧠 Strategy logic & execution: LANZ ✅ Designed for: Clean backtesting, clarity in execution, and intraday logic simulation
กลยุทธ์ Pine Script®
โดย rau_u_lanz
5 EMA STRATEGY by Power of Stocks(StockYogi)5 EMA STRATEGY by Power of Stocks(StockYogi) This is a 5 EMA Breakout Strategy inspired by the trading principles taught by Shubhashi Pani, founder of the Power of Stocks (POS) community. The strategy is designed to: • Detect breakout setups when price breaks the high/low of a signal candle (based on EMA conditions) • Enter trades only if the breakout occurs within the next 3 candles • Allow multiple trades in the same direction without closing the earlier one • Use independent stop-loss (SL) and take-profit (TP) targets for each trade based on a user-defined risk-reward ratio • Optionally enter trades only at candle close • Optionally avoid trades during a custom time window (e.g., 3:00 PM to 3:30 PM IST) • Optionally close all open positions at a defined time (e.g., 3:30 PM IST) The goal of this strategy is to provide greater flexibility and realism for intraday or short-term traders following structured breakout systems. Disclaimer: This script is an implementation of technical ideas for educational purposes only. It is not financial advice. All trading involves risk, and past performance does not guarantee future results. Strategy Credits: This strategy is based on publicly known breakout rules taught by Shubhashi Pani (Power of Stocks). This is not an official POS script, and I am not affiliated with the Power of Stocks team. This implementation was developed independently to follow the logic shared for educational use. Feel free to use, backtest, and modify according to your needs. Constructive feedback is welcome!
กลยุทธ์ Pine Script®
โดย The_Stock_Yogi
Options Strategy V1.3📈 Options Strategy V1.3 — EMA Crossover + RSI + ATR + Opening Range Overview: This strategy is designed for short-term directional trades on large-cap stocks or ETFs, especially when trading options. It combines classic trend-following signals with momentum confirmation, volatility-based risk management, and session timing filters to help identify high-probability entries with predefined stop-loss and profit targets. 🔍 Strategy Components: EMA Crossover (Fast/Slow) Entry signals are triggered by the crossover of a short EMA above or below a long EMA — a traditional trend-following method to detect shifts in momentum. RSI Filter RSI confirms the signal by avoiding entries in overbought/oversold zones unless certain momentum conditions are met. Long entry requires RSI ≥ Long Threshold Short entry requires RSI ≤ Short Threshold ATR-Based SL & TP Stop-loss is set dynamically as a multiple of ATR below (long) or above (short) the entry price. Take-profit is placed as a ratio (TP/SL) of the stop distance, ensuring consistent reward/risk structure. Opening Range Filter (Optional) If enabled, the strategy only triggers trades after price breaks out of the 09:30–09:45 EST range, ensuring participation in directional moves. Session Filters No trades from 04:00 to 09:30 and from 16:00 to 20:00 EST, avoiding low-liquidity periods. All open trades are closed at 15:55 EST, to avoid overnight risk or expiration issues for options. ⚙️ Built-in Presets: You can choose one of the built-in ticker-specific presets for optimal conditions: Ticker EMAs RSI (Long/Short) ATR SL×ATR TP/SL SPY 8/28 56 / 26 14 1.4× 4.0× TSLA 23/27 56 / 33 13 1.4× 3.6× AAPL 6/13 61 / 26 23 1.4× 2.1× MSFT 25/32 54 / 26 14 1.2× 2.2× META 25/32 53 / 26 17 1.8× 2.3× AMZN 28/32 55 / 25 16 1.8× 2.3× You can also choose "Custom" to fully configure all parameters to your own market and strategy preferences. 📌 Best Use Case: This strategy is especially suited for intraday options trading, where timing and risk control are critical. It works best on liquid tickers with strong trends or clear breakout behavior.
กลยุทธ์ Pine Script®
โดย olaszvandor
AutoFib Breakout Strategy for Uptrend AssetsThis trading strategy is designed to help you catch powerful upward moves on assets that are in a long-term uptrend, such as Gold (XAUUSD). It uses a popular technical tool called the Fibonacci Extension, combined with a trend filter and a risk-managed exit system. ✅ When to Use This Strategy • Works best on higher timeframes: Daily (1D), 3-Day (3D), or Weekly (W). • Best used on uptrending assets like Gold. • Designed for swing trading – holding trades from a few days to weeks. 📊 How It Works 1. Find the Trend We only want to trade in the direction of the trend. • The strategy uses the 200-period EMA (Exponential Moving Average) to identify if the market is in an uptrend. • If the price is above the 200 EMA, we consider it an uptrend and allow long trades. 2. Identify Breakout Levels • The strategy detects recent high and low pivot points to draw Fibonacci extension levels. • It focuses on the 1.618 Fibonacci level, which is often a target in strong trends. • When the price breaks above this level in an uptrend, it signals a potential momentum breakout – a good time to buy. 3. Enter a Trade • The strategy enters a long (buy) position when the price closes above the 1.618 Fibonacci level and the market is in an uptrend (above the 200 EMA). 4. Manage Risk Automatically • The trade includes a stop-loss set to 1x the ATR (Average True Range) below the entry price – this protects against sudden drops. • It sets a take-profit at 3x the ATR above the entry – aiming for higher rewards than risks. ⚠️ Important Notes • 📈 Higher Timeframes Preferred: This strategy works best on Daily (D), 3-Day (3D), and Weekly (W) charts, especially on Gold (XAUUSD). • 🧪 Not for Deep Backtesting: Due to the nature of how pivot points and Fib levels are calculated, this strategy may not perform well in backtesting simulations (because the historical calculations can shift). It is better used for live analysis and forward testing.
กลยุทธ์ Pine Script®
โดย SupertradeOfficial
Momentum Long + Short Strategy (BTC 3H)Momentum Long + Short Strategy (BTC 3H) 🔍 How It Works, Step by Step Detect the Trend (📈/📉) Calculate two moving averages (100-period and 500-period), either EMA or SMA. For longs, we require MA100 > MA500 (uptrend). For shorts, we block entries if MA100 exceeds MA500 by more than a set percentage (to avoid fading a powerful uptrend). Apply Momentum Filters (⚡️) RSI Filter: Measures recent strength—only allow longs when RSI crosses above its smoothed average, and shorts when RSI dips below the oversold threshold. ADX Filter: Gauges trend strength—ensures we only enter when a meaningful trend exists (optional). ATR Filter: Confirms volatility—avoids choppy, low-volatility conditions by requiring ATR to exceed its smoothed value (optional). Confirm Entry Conditions (✅) Long Entry: Price is above both MAs Trend alignment & optional filters pass ✅ Short Entry: Price is below both MAs and below the lower Bollinger Band RSI is sufficiently oversold Trend-blocker & ATR filter pass ✅ Position Sizing & Risk (💰) Each trade uses 100 % of account equity by default. One pyramid addition allowed, so you can scale in if the move continues. Commission and slippage assumptions built in for realistic backtests. Stops & Exits (🛑) Long Stop-Loss: e.g. 3 % below entry. Long Auto-Exit: If price falls back under the 500-period MA. Short Stop-Loss: e.g. 3 % above entry. Short Take-Profit: e.g. 4 % below entry. 🎨 Why It’s Powerful & Customizable Modular Filters: Turn on/off RSI, ADX, ATR filters to suit different market regimes. Adjustable Thresholds: Fine-tune stop-loss %, take-profit %, RSI lengths, MA gaps and more. Multi-Timeframe Potential: Although coded for 3 h BTC, you can adapt it to stocks, forex or other cryptos—just recalibrate! Backtest Fine-Tuned: Default settings were optimized via backtesting on historical BTC data—but they’re not guarantees of future performance. ⚠️ Warning & Disclaimer This strategy is for educational purposes only and designed for a toy fund. Crypto markets are highly volatile—you can lose 100 % of your capital. It is not a predictive “holy grail” but a rules-based framework using past data. The parameters have been fine-tuned on historical data and are not valid for future trades without fresh calibration. Always practice with paper-trading first, use proper risk management, and do your own research before risking real money. 🚨🔒 Good luck exploring and experimenting! 🚀📊
กลยุทธ์ Pine Script®
โดย noobztrader101
EMA Pullback Speed Strategy　📌 **Overview** The **EMA Pullback Speed Strategy** is a trend-following approach that combines **price momentum** and **Exponential Moving Averages (EMA)**. It aims to identify high-probability entry points during brief pullbacks within ongoing uptrends or downtrends. The strategy evaluates **speed of price movement**, **relative position to dynamic EMA**, and **candlestick patterns** to determine ideal timing for entries. One of the key concepts is checking whether the price has **“not pulled back too much”**, helping focus only on situations where the trend is likely to continue. ⚠️ This strategy is designed for educational and research purposes only. It does not guarantee future profits. 🧭 **Purpose** This strategy addresses the common issue of **"jumping in too late during trends and taking unnecessary losses."** By waiting for a healthy pullback and confirming signs of **trend resumption**, traders can enter with greater confidence and reduce false entries. 🎯 **Strategy Objectives** * Enter in the direction of the prevailing trend to increase win rate * Filter out false signals using pullback depth, speed, and candlestick confirmations * Predefine Take-Profit (TP) and Stop-Loss (SL) levels for safer, rule-based trading ✨ **Key Features** * **Dynamic EMA**: Reacts faster when price moves quickly, slower when market is calm – adapting to current momentum * **Pullback Filter**: Avoids trades when price pulls back too far (e.g., more than 5%), indicating a trend may be weakening * **Speed Check**: Measures how strongly the price returns to the trend using candlestick body speed (open-to-close range in ticks) 📊 **Trading Rules** **■ Long Entry Conditions:** * Current price is above the dynamic EMA (indicating uptrend) * Price has pulled back toward the EMA (a "buy the dip" situation) * Pullback depth is within the threshold (not excessive) * Candlesticks show consecutive bullish closes and break the previous high * Price speed is strong (positive movement with momentum) **■ Short Entry Conditions:** * Current price is below the dynamic EMA (indicating downtrend) * Price has pulled back up toward the EMA (a "sell the rally" setup) * Pullback is within range (not too deep) * Candlesticks show consecutive bearish closes and break the previous low * Price speed is negative (downward momentum confirmed) **■ Exit Conditions (TP/SL):** * **Take-Profit (TP):** Fixed 1.5% target above/below entry price * **Stop-Loss (SL):** Based on recent price volatility, calculated using ATR × 4 💰 **Risk Management Parameters** * Symbol & Timeframe: BTCUSD on 1-hour chart (H1) * Test Capital: \$3000 (simulated account) * Commission: 0.02% * Slippage: 2 ticks (minimal execution lag) * Max risk per trade: 5% of account balance * Backtest Period: Aug 30, 2023 – May 9, 2025 * Profit Factor (PF): 1.965 (Net profit ÷ Net loss, including spreads & fees) ⚙️ **Trading Parameters & Indicator Settings** * Maximum EMA Length: 50 * Accelerator Multiplier: 3.0 * Pullback Threshold: 5.0% * ATR Period: 14 * ATR Multiplier (SL distance): 4.0 * Fixed TP: 1.5% * Short-term EMA: 21 * Long-term EMA: 50 * Long Speed Threshold: ≥ 1000.0 (ticks) * Short Speed Threshold: ≤ -1000.0 (ticks) ⚠️Adjustments are based on BTCUSD. ⚠️Forex and other currency pairs require separate adjustments. 🔧 **Strategy Improvements & Uniqueness** Unlike basic moving average crossovers or RSI triggers, this strategy emphasizes **"momentum-supported pullbacks"**. By combining dynamic EMA, speed checks, and candlestick signals, it captures trades **as if surfing the wave of a trend.** Its built-in filters help **avoid overextended pullbacks**, which often signal the trend is ending – making it more robust than traditional trend-following systems. ✅ **Summary** The **EMA Pullback Speed Strategy** is easy to understand, rule-based, and highly reproducible – ideal for both beginners and intermediate traders. Because it shows **clear visual entry/exit points** on the chart, it’s also a great tool for practicing discretionary trading decisions. ⚠️ Past performance is not a guarantee of future results. Always respect your Stop-Loss levels and manage your position size according to your risk tolerance.
กลยุทธ์ Pine Script®
โดย PakunFX
1
SuperTrade ST1 StrategyOverview The SuperTrade ST1 Strategy is a long-only trend-following strategy that combines a Supertrend indicator with a 200-period EMA filter to isolate high-probability bullish trade setups. It is designed to operate in trending markets, using volatility-based exits with a strict 1:4 Risk-to-Reward (R:R) ratio, meaning that each trade targets a profit 4× the size of its predefined risk. This strategy is ideal for traders looking to align with medium- to long-term trends, while maintaining disciplined risk control and minimal trade frequency. How It Works This strategy leverages three key components: Supertrend Indicator A trend-following indicator based on Average True Range (ATR). Identifies bullish/bearish trend direction by plotting a trailing stop line that moves with price volatility. 200-period Exponential Moving Average (EMA) Filter Trades are only taken when the price is above the EMA, ensuring participation only during confirmed uptrends. Helps filter out counter-trend entries during market pullbacks or ranges. ATR-Based Stop Loss and Take Profit Each trade uses the ATR to calculate volatility-adjusted exit levels. Stop Loss: 1× ATR below entry. Take Profit: 4× ATR above entry (1:4 R:R). This asymmetry ensures that even with a lower win rate, the strategy can remain profitable. Entry Conditions A long trade is triggered when: Supertrend flips from bearish to bullish (trend reversal). Price closes above the Supertrend line. Price is above the 200 EMA (bullish market bias). Exit Logic Once a long position is entered: Stop loss is set 1 ATR below entry. Take profit is set 4 ATR above entry. The strategy automatically exits the position on either target. Backtest Settings This strategy is configured for realistic backtesting, including: $10,000 account size 2% equity risk per trade 0.1% commission 1 tick slippage These settings aim to simulate real-world conditions and avoid overly optimistic results. How to Use Apply the script to any timeframe, though higher timeframes (1H, 4H, Daily) often yield more reliable signals. Works best in clearly trending markets (especially in crypto, stocks, indices). Can be paired with alerts for live trading or analysis. Important Notes This version is long-only by design. No short positions are executed. Ideal for swing traders or position traders seeking asymmetric returns. Users can modify the ATR period, Supertrend factor, or EMA filter length based on asset behavior.
กลยุทธ์ Pine Script®
โดย SupertradeOfficial
Triangle Breakout Strategy with TP/SL, EMA Filter📌 Triangle Breakout Strategy with TP/SL, EMA Filters, and Backtest – Explained. ✅ 1. Pattern Detection – Triangle Breakout The script scans for triangle patterns by detecting local pivot highs and pivot lows. It uses two recent highs and two recent lows to draw converging trendlines (upper and lower boundaries of the triangle). If the price breaks above the upper trendline, a bullish breakout signal is generated. 🎯 2. TP (Take Profit) & SL (Stop Loss) When a bullish breakout is detected: A buy order is placed using strategy.entry. TP and SL levels are calculated relative to the current close price: TP = 3% above the entry price SL = 1.5% below the entry price These are defined using strategy.exit. 📊 3. EMA Filter An optional filter checks if: Price is above both EMA 20 and EMA 50 Only if this condition is met, the strategy allows a long entry. You can toggle the filter on or off with useEMAFilter. 📈 4. Backtesting with Strategy Tester This script uses strategy() instead of indicator() to enable TradingView’s built-in backtest engine. Every buy entry and exit (based on TP or SL) is recorded. 📌 5. Visuals EMA 20 and EMA 50 lines are plotted on the chart. A label is shown when a breakout is detected: "Breakout Up" Results (profit, win rate, drawdown, etc.) can be viewed in the Strategy Tester panel.
กลยุทธ์ Pine Script®
โดย Reanimate_
Fibonacci + TP/SL Strategy [Backtest]✅ Key Features Added and Adjusted: Fibonacci Retracement Levels: Automatically calculated based on the last 100 bars' high/low Plotted levels: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100% Extension targets: 161.8%, 261.8%, 423.6% Buy/Sell Signal Logic: Buy: Price is between 78.6% and 38.2% levels Sell: Price is between 61.8% and 23.6% levels Both depend on a can_trade time filter to avoid overtrading ATR-based Stop-Loss: Stop-loss dynamically adapts to market volatility: SL = Entry - ATR * 1.5 (long) SL = Entry + ATR * 1.5 (short) Fixed Take-Profit: Configurable via input: default is 4% Can be changed in TradingView UI Golden/Death Cross Indicator (Visual Only): EMA 50 crossing EMA 200 plotted on chart: Golden Cross = Buy signal (green triangle) Death Cross = Sell signal (red triangle) Weekly Profit Cap: Prevents new trades if weekly profit exceeds 15% Resets at the start of every week Visual Elements: All Fibonacci levels are plotted Buy/Sell signals are labeled on the chart (BUY, SELL)
กลยุทธ์ Pine Script®
โดย Reanimate_
PowerHouse SwiftEdge AI v2.10 StrategyOverview The PowerHouse SwiftEdge AI v2.10 Strategy is a sophisticated trading system designed to identify high-probability trade setups in forex, stocks, and cryptocurrencies. By combining multi-timeframe trend analysis, momentum signals, volume confirmation, and smart money concepts (Change of Character and Break of Structure ), this strategy offers traders a robust tool to capitalize on market trends while minimizing false signals. The strategy’s unique “AI” component analyzes trends across multiple timeframes to provide a clear, actionable dashboard, making it accessible for both novice and experienced traders. The strategy is fully customizable, allowing users to tailor its filters to their trading style. What It Does This strategy generates Buy and Sell signals based on a confluence of technical indicators and smart money concepts. It uses: Multi-Timeframe Trend Analysis: Confirms the market’s direction by analyzing trends on the 1-hour (60M), 4-hour (240M), and daily (D) timeframes. Momentum Filter: Ensures trades align with strong price movements to avoid choppy markets. Volume Filter: Validates signals with above-average volume to confirm market participation. Breakout Filter: Requires price to break key levels for added confirmation. Smart Money Signals (CHoCH/BOS): Identifies reversals (CHoCH) and trend continuations (BOS) based on pivot points. AI Trend Dashboard: Summarizes trend strength, confidence, and predictions across timeframes, helping traders make informed decisions without needing to analyze complex data manually. The strategy also plots dynamic support and resistance trendlines, take-profit (TP) levels, and “Get Ready” signals to alert users of potential setups before they fully develop. Trades are executed with predefined take-profit and stop-loss levels for disciplined risk management. How It Works The strategy integrates multiple components to create a cohesive trading system: Multi-Timeframe Trend Analysis: The strategy evaluates trends on three timeframes (1H, 4H, Daily) using Exponential Moving Averages (EMA) and Volume-Weighted Average Price (VWAP). A trend is considered bullish if the price is above both the EMA and VWAP, bearish if below, or neutral otherwise. Signals are only generated when the trend on the user-selected higher timeframe aligns with the trade direction (e.g., Buy signals require a bullish higher timeframe trend). This reduces noise and ensures trades follow the broader market context. Momentum Filter: Measures the percentage price change between consecutive bars and compares it to a volatility-adjusted threshold (based on the Average True Range ). This ensures trades are taken only during significant price movements, filtering out low-momentum conditions. Volume Filter (Optional): Checks if the current volume exceeds a long-term average and shows positive short-term volume change. This confirms strong market participation, reducing the risk of false breakouts. Breakout Filter (Optional): Requires the price to break above (for Buy) or below (for Sell) recent highs/lows, ensuring the signal aligns with a structural shift in the market. Smart Money Concepts (CHoCH/BOS): Change of Character (CHoCH): Detects potential reversals when the price crosses under a recent pivot high (for Sell) or over a recent pivot low (for Buy) with a bearish or bullish candle, respectively. Break of Structure (BOS): Confirms trend continuations when the price breaks below a recent pivot low (for Sell) or above a recent pivot high (for Buy) with strong momentum. These signals are plotted as horizontal lines with labels, making it easy to visualize key levels. AI Trend Dashboard: Combines trend direction, momentum, and volatility (ATR) across timeframes to calculate a trend score. Scores above 0.5 indicate an “Up” trend, below -0.5 indicate a “Down” trend, and otherwise “Neutral.” Displays a table summarizing trend strength (as a percentage), AI confidence (based on trend alignment), and Cumulative Volume Delta (CVD) for market context. A second table (optional) shows trend predictions for 1H, 4H, and Daily timeframes, helping traders anticipate future market direction. Dynamic Trendlines: Plots support and resistance lines based on recent swing lows and highs within user-defined periods (shortTrendPeriod, longTrendPeriod). These lines adapt to market conditions and are colored based on trend strength. Why This Combination? The PowerHouse SwiftEdge AI v2.10 Strategy is original because it seamlessly integrates traditional technical analysis (EMA, VWAP, ATR, volume) with smart money concepts (CHoCH, BOS) and a proprietary AI-driven trend analysis. Unlike standalone indicators, this strategy: Reduces False Signals: By requiring confluence across trend, momentum, volume, and breakout filters, it minimizes trades in choppy or low-conviction markets. Adapts to Market Context: The ATR-based momentum threshold adjusts dynamically to volatility, ensuring signals remain relevant in both trending and ranging markets. Simplifies Decision-Making: The AI dashboard distills complex multi-timeframe data into a user-friendly table, eliminating the need for manual analysis. Leverages Smart Money: CHoCH and BOS signals capture institutional price action patterns, giving traders an edge in identifying reversals and continuations. The combination of these components creates a balanced system that aligns short-term trade entries with longer-term market trends, offering a unique blend of precision, adaptability, and clarity. How to Use Add to Chart: Apply the strategy to your TradingView chart on a liquid symbol (e.g., EURUSD, BTCUSD, AAPL) with a timeframe of 60 minutes or lower (e.g., 15M, 60M). Configure Inputs: Pivot Length: Adjust the number of bars (default: 5) to detect pivot highs/lows for CHoCH/BOS signals. Higher values reduce noise but may delay signals. Momentum Threshold: Set the base percentage (default: 0.01%) for momentum confirmation. Increase for stricter signals. Take Profit/Stop Loss: Define TP and SL in points (default: 10 each) for risk management. Higher/Lower Timeframe: Choose timeframes (60M, 240M, D) for trend filtering. Ensure the chart timeframe is lower than or equal to the higher timeframe. Filters: Enable/disable momentum, volume, or breakout filters to suit your trading style. Trend Periods: Set shortTrendPeriod (default: 30) and longTrendPeriod (default: 100) for trendline plotting. Keep below 2000 to avoid buffer errors. AI Dashboard: Toggle Enable AI Market Analysis to show/hide the prediction table and adjust its position. Interpret Signals: Buy/Sell Labels: Green "Buy" or red "Sell" labels indicate trade entries with predefined TP/SL levels plotted. Get Ready Signals: Yellow "Get Ready BUY" or orange "Get Ready SELL" labels warn of potential setups. CHoCH/BOS Lines: Aqua (CHoCH Sell), lime (CHoCH Buy), fuchsia (BOS Sell), or teal (BOS Buy) lines mark key levels. Trendlines: Green/lime (support) or fuchsia/purple (resistance) dashed lines show dynamic support/resistance. AI Dashboard: Check the top-right table for trend strength, confidence, and CVD. The optional bottom table shows trend predictions (Up, Down, Neutral). Backtest and Trade: Use TradingView’s Strategy Tester to evaluate performance. Adjust TP/SL and filters based on results. Trade manually based on signals or automate with TradingView alerts (set alerts for Buy/Sell labels). Originality and Value The PowerHouse SwiftEdge AI v2.10 Strategy stands out by combining multi-timeframe analysis, smart money concepts, and an AI-driven dashboard into a single, user-friendly system. Its adaptive momentum threshold, robust filtering, and clear visualizations empower traders to make confident decisions without needing advanced technical knowledge. Whether you’re a day trader or swing trader, this strategy provides a versatile, data-driven approach to navigating dynamic markets. Important Notes: Risk Management: Always use appropriate position sizing and risk management, as the strategy’s TP/SL levels are customizable. Symbol Compatibility: Test on liquid symbols with sufficient historical data (at least 2000 bars) to avoid buffer errors. Performance: Backtest thoroughly to optimize settings for your market and timeframe.
กลยุทธ์ Pine Script®
โดย SwiftEdge
1
RTB - Momentum Breakout Strategy V3 📈 RTB - Momentum Breakout Strategy V3 is a directional breakout strategy based on momentum. It combines exponential moving averages (EMAs), RSI, and recent support/resistance levels to detect breakout entries with trend confirmation. The system includes dynamic risk management using ATR-based stop-loss and trailing stop levels. Webhook alerts are supported for external automated trading integrations. 🔎 The strategy was backtested using default parameters on BTCUSDT Futures (Bybit) with 4-hour timeframe and a 0.05% commission per trade. ⚠️ This script is for educational purposes only and does not constitute financial advice. Always do your own research before trading.
กลยุทธ์ Pine Script®
โดย Ramtraderbook
5
[SM-042] EMA 5-8-13 with ADX FilterWhat is the strategy? The strategy combines three exponential moving averages (EMAs) — 5, 8, and 13 periods — with an optional ADX (Average Directional Index) filter. It is designed to enter long or short positions based on EMA crossovers and to exit positions when the price crosses a specific EMA. The ADX filter, if enabled, adds a condition that only allows trades when the ADX value is above a certain threshold, indicating trend strength. Who is it for? This strategy is for traders leveraging EMAs and trend strength indicators to make trade decisions. It can be used by anyone looking for a simple trend-following strategy, with the flexibility to adjust for trend strength using the ADX filter. When is it used? - **Long trades**: When the 5-period EMA crosses above the 8-period EMA, with an optional ADX condition (if enabled) that requires the ADX value to be above a specified threshold. - **Short trades**: When the 5-period EMA crosses below the 8-period EMA, with the ADX filter again optional. - **Exits**: The strategy exits a long position when the price falls below the 13-period EMA and exits a short position when the price rises above the 13-period EMA. Where is it applied? This strategy is applied on a chart with any asset on TradingView, with the EMAs and ADX plotted for visual reference. The strategy uses `strategy.entry` to open positions and `strategy.close` to close them based on the set conditions. Why is it useful? This strategy helps traders identify trending conditions and filter out potential false signals by using both EMAs (to capture short-term price movements) and the ADX (to confirm the strength of the trend). The ADX filter can be turned off if not desired, making the strategy flexible for both trending and range-bound markets. How does it work? - **EMA Crossover**: The strategy enters a long position when the 5-period EMA crosses above the 8-period EMA, and enters a short position when the 5-period EMA crosses below the 8-period EMA. - **ADX Filter**: If enabled, the strategy checks whether the ADX value is above a set threshold (default is 20) before allowing a trade. - **Exit Conditions**: Long positions are closed when the price falls below the 13-period EMA, and short positions are closed when the price rises above the 13-period EMA. - **Plotting**: The strategy plots the three EMAs and the ADX value on the chart for visualization. It also displays a horizontal line at the ADX threshold. This setup allows for clear decision-making based on the interaction between different time-frame EMAs and trend strength as indicated by ADX.
กลยุทธ์ Pine Script®
โดย sebamarghella
50 EMA Crossover With Monthly DCARecommended Chart Interval = 1W Overview: This strategy combines trend-following principles with dollar-cost averaging (DCA), aiming to efficiently deploy capital while minimizing market timing risk. How It Works: When the Long Condition is Not Met (i.e., Price < 50 EMA): - If the price is below the 50 EMA, a fixed DCA amount is added to a cash reserve every month. - This ensures that capital is consistently accumulated, even when the strategy isn't in a long position. When the Long Condition is Met (i.e., Price > 50 EMA): - A long position is opened when the price is above the 50 EMA. - At this point, the entire capital, including the accumulated cash reserve, is deployed into the market. - While the strategy is long, a DCA buy order is placed every month using the set DCA amount, continuously investing as the market conditions allow. Exit Strategy: If the price falls below the 50 EMA, the strategy closes all positions, and the cash reserve accumulation process begins again. Key Benefits: ✔ Systematic Investing: Ensures consistent capital deployment while following trend signals. ✔ Cash Efficiency: Accumulates uninvested funds when conditions aren’t met and deploys them at optimal moments. ✔ Risk Management: Exits when the price trend weakens, protecting capital. Conclusion: This method allows for efficient capital growth by combining a trend-following approach with disciplined DCA, ensuring risk is managed while capital is deployed systematically at optimal points in the market. 🚀
กลยุทธ์ Pine Script®
โดย ficril
Long Term Profitable Swing | AbbasA Story of a Profitable Swing Trading Strategy Imagine you're sailing across the ocean, looking for the perfect wave to ride. Swing trading is quite similar—you're navigating the stock market, searching for the ideal moments to enter and exit trades. This strategy, created by Abbas, helps you find those waves and ride them effectively to profitable outcomes. 🌊 Finding the Perfect Wave (Entry) Our journey begins with two simple signs that tell us a great trading opportunity is forming: - Moving Averages: We use two lines that follow price trends—the faster one (EMA 16) reacts quickly to recent price moves, and the slower one (EMA 30) gives us a longer-term perspective. When the faster line crosses above the slower line, it's like a clear signal saying, "Hey! The wave is rising, and prices might move higher!" - RSI Momentum: Next, we check a tool called the RSI, which measures momentum (how strongly prices are moving). If the RSI number is above 50, it means there's enough strength behind this rising wave to carry us forward. When both signals appear together, that's our green light. It's time to jump on our surfboard and start riding this promising wave. ⚓ Safely Riding the Wave (Risk Management) While we're riding this wave, we want to ensure we're safe from sudden surprises. To do this, we use something called the Average True Range (ATR), which measures how volatile (or bumpy) the price movements are: - Stop-Loss: To avoid falling too hard, we set a safety line (stop-loss) 8 times the ATR below our entry price. This helps ensure we exit if the wave suddenly turns against us, protecting us from heavy losses. - Take Profit: We also set a goal to exit the trade at 11 times the ATR above our entry. This way, we capture significant profits when the wave reaches a nice high point. 🌟 Multiple Rides, Bigger Adventures This strategy allows us to take multiple positions simultaneously—like riding several waves at once, up to 5. Each trade we make uses only 10% of our trading capital, keeping risks manageable and giving us multiple opportunities to win big. 🗺️ Easy to Follow Settings Here are the basic settings we use: - Fast EMA**: 16 - Slow EMA**: 30 - RSI Length**: 9 - RSI Threshold**: 50 - ATR Length**: 21 - ATR Stop-Loss Multiplier**: 8 - ATR Take-Profit Multiplier**: 11 These settings are flexible—you can adjust them to better suit different markets or your personal trading style. 🎉 Riding the Waves of Success This simple yet powerful swing trading approach helps you confidently enter trades, clearly know when to exit, and effectively manage your risk. It’s a reliable way to ride market waves, capture profits, and minimize losses. Happy trading, and may you find many profitable waves to ride! 🌊✨ Please test, and take into account that it depends on taking multiple longs within the swing, and you only get to invest 25/30% of your equity.
กลยุทธ์ Pine Script®
โดย Mohamed_Abbas
Crypto Strategy SUSDT 10 minThis strategy is designed to trade the **SUSDT** pair on a **10-minute time frame**, using a combination of an Exponential Moving Average (EMA) and percentage-based Stop Loss (SL) and Take Profit (TP) levels. ### How the strategy works: 1. **EMA Calculation**: - The strategy calculates a 24-period Exponential Moving Average (EMA) based on the closing price. - This EMA serves as the primary trend indicator. 2. **Entry Conditions**: - **Long Position**: A long position is entered when the closing price is above the EMA and the opening price is below the EMA. This indicates a potential upward trend. - **Short Position**: A short position is entered when the closing price is below the EMA and the opening price is above the EMA. This indicates a potential downward trend. 3. **Stop Loss and Take Profit**: - Both Stop Loss (SL) and Take Profit (TP) are calculated based on the entry price of the position. - **For Long Positions**: - Stop Loss is set as a percentage below the entry price. - Take Profit is set as a percentage above the entry price. - **For Short Positions**: - Stop Loss is set as a percentage above the entry price. - Take Profit is set as a percentage below the entry price. - The percentage values for SL and TP can be adjusted in the strategy's settings (default: SL = 2%, TP = 4%). 4. **Exit Conditions**: - The position is closed automatically when either the Stop Loss or Take Profit level is reached. 5. **Visualization**: - The 24-period EMA is plotted on the chart as a blue line, helping visualize the trend direction. ### Key Features: - **Pair and Time Frame**: The strategy is optimized for the SUSDT pair on a 10-minute time frame. - **Customizable Parameters**: Users can adjust the Stop Loss and Take Profit percentages to suit their risk tolerance and trading style. - **Trend-Following Approach**: The strategy uses the EMA to identify and follow the current market trend. This strategy is simple yet effective for capturing trends while managing risk through predefined Stop Loss and Take Profit levels.
กลยุทธ์ Pine Script®
โดย Maciejo098
iD EMARSI on ChartSCRIPT OVERVIEW The EMARSI indicator is an advanced technical analysis tool that maps RSI values directly onto price charts. With adaptive scaling capabilities, it provides a unique visualization of momentum that flows naturally with price action, making it particularly valuable for FOREX and low-priced securities trading. KEY FEATURES 1 PRICE MAPPED RSI VISUALIZATION Unlike traditional RSI that displays in a separate window, EMARSI plots the RSI directly on the price chart, creating a flowing line that identifies momentum shifts within the context of price action: // Map RSI to price chart with better scaling mappedRsi = useAdaptiveScaling ? median + ((rsi - 50) / 50 * (pQH - pQL) / 2 * math.min(1.0, 1/scalingFactor)) : down == pQL ? pQH : up == pQL ? pQL : median - (median / (1 + up / down)) 2 ADAPTIVE SCALING SYSTEM The script features an intelligent scaling system that automatically adjusts to different market conditions and price levels: // Calculate adaptive scaling factor based on selected method scalingFactor = if scalingMethod == "ATR-Based" math.min(maxScalingFactor, math.max(1.0, minTickSize / (atrValue/avgPrice))) else if scalingMethod == "Price-Based" math.min(maxScalingFactor, math.max(1.0, math.sqrt(100 / math.max(avgPrice, 0.01)))) else // Volume-Based math.min(maxScalingFactor, math.max(1.0, math.sqrt(1000000 / math.max(volume, 100)))) 3 MODIFIED RSI CALCULATION EMARSI uses a specially formulated RSI calculation that works with an adaptive base value to maintain consistency across different price ranges: // Adaptive RSI Base based on price levels to improve flow adaptiveRsiBase = useAdaptiveScaling ? rsiBase * scalingFactor : rsiBase // Calculate RSI components with adaptivity up = ta.rma(math.max(ta.change(rsiSourceInput), adaptiveRsiBase), emaSlowLength) down = ta.rma(-math.min(ta.change(rsiSourceInput), adaptiveRsiBase), rsiLengthInput) // Improved RSI calculation with value constraint rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) 4 MOVING AVERAGE CROSSOVER SYSTEM The indicator creates a smooth moving average of the RSI line, enabling a crossover system that generates trading signals: // Calculate MA of mapped RSI rsiMA = ma(mappedRsi, emaSlowLength, maTypeInput) // Strategy entries if ta.crossover(mappedRsi, rsiMA) strategy.entry("RSI Long", strategy.long) if ta.crossunder(mappedRsi, rsiMA) strategy.entry("RSI Short", strategy.short) 5 VISUAL REFERENCE FRAMEWORK The script includes visual guides that help interpret the RSI movement within the context of recent price action: // Calculate pivot high and low pQH = ta.highest(high, hlLen) pQL = ta.lowest(low, hlLen) median = (pQH + pQL) / 2 // Plotting plot(pQH, "Pivot High", color=color.rgb(82, 228, 102, 90)) plot(pQL, "Pivot Low", color=color.rgb(231, 65, 65, 90)) med = plot(median, style=plot.style_steplinebr, linewidth=1, color=color.rgb(238, 101, 59, 90)) 6 DYNAMIC COLOR SYSTEM The indicator uses color fills to clearly visualize the relationship between the RSI and its moving average: // Color fills based on RSI vs MA colUp = mappedRsi > rsiMA ? input.color(color.rgb(128, 255, 0), '', group= 'RSI > EMA', inline= 'up') : input.color(color.rgb(240, 9, 9, 95), '', group= 'RSI < EMA', inline= 'dn') colDn = mappedRsi > rsiMA ? input.color(color.rgb(0, 230, 35, 95), '', group= 'RSI > EMA', inline= 'up') : input.color(color.rgb(255, 47, 0), '', group= 'RSI < EMA', inline= 'dn') fill(rsiPlot, emarsi, mappedRsi > rsiMA ? pQH : rsiMA, mappedRsi > rsiMA ? rsiMA : pQL, colUp, colDn) 7 REAL TIME PARAMETER MONITORING A transparent information panel provides real-time feedback on the adaptive parameters being applied: // Information display var table infoPanel = table.new(position.top_right, 2, 3, bgcolor=color.rgb(0, 0, 0, 80)) if barstate.islast table.cell(infoPanel, 0, 0, "Current Scaling Factor", text_color=color.white) table.cell(infoPanel, 1, 0, str.tostring(scalingFactor, "#.###"), text_color=color.white) table.cell(infoPanel, 0, 1, "Adaptive RSI Base", text_color=color.white) table.cell(infoPanel, 1, 1, str.tostring(adaptiveRsiBase, "#.####"), text_color=color.white) BENEFITS FOR TRADERS INTUITIVE MOMENTUM VISUALIZATION By mapping RSI directly onto the price chart, traders can immediately see the relationship between momentum and price without switching between different indicator windows. ADAPTIVE TO ANY MARKET CONDITION The three scaling methods (ATR-Based, Price-Based, and Volume-Based) ensure the indicator performs consistently across different market conditions, volatility regimes, and price levels. PREVENTS EXTREME VALUES The adaptive scaling system prevents the RSI from generating extreme values that exceed chart boundaries when trading low-priced securities or during high volatility periods. CLEAR TRADING SIGNALS The RSI and moving average crossover system provides clear entry signals that are visually reinforced through color changes, making it easy to identify potential trading opportunities. SUITABLE FOR MULTIPLE TIMEFRAMES The indicator works effectively across multiple timeframes, from intraday to daily charts, making it versatile for different trading styles and strategies. TRANSPARENT PARAMETER ADJUSTMENT The information panel provides real-time feedback on how the adaptive system is adjusting to current market conditions, helping traders understand why the indicator is behaving as it is. CUSTOMIZABLE VISUALIZATION Multiple visualization options including Bollinger Bands, different moving average types, and customizable colors allow traders to adapt the indicator to their personal preferences. CONCLUSION The EMARSI indicator represents a significant advancement in RSI visualization by directly mapping momentum onto price charts with adaptive scaling. This approach makes momentum shifts more intuitive to identify and helps prevent the scaling issues that commonly affect RSI-based indicators when applied to low-priced securities or volatile markets.
กลยุทธ์ Pine Script®
โดย ennoiD
GRIM309 CallPut StrategyThis draws the 5, 10, 20, 50 and 200 EMA lines. It creates suggestions of when to open and close call positions (GREEN) as well as open and close put positions (RED) it has a early warning system, and in case there is a spike between the last 5 positions it will signal close the position, this is optional (isWarning) There is also a cooldown period, when set at 2 it means wait a position before initiating another, I did not like the position closing and then opening directly afterwards, you could cooldown for 3 and skip 2 candles or more etc. Set to 1 then it will open/close without cooling down. Additionally the very bottom shows wether it is in an uptrend or downtrend currently (Yellow triangle)
กลยุทธ์ Pine Script®
โดย GriM309