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DEMA ATR Strategy [PrimeAutomation]⯁ OVERVIEW The DEMA ATR Strategy combines trend-following logic with adaptive volatility filters to identify strong momentum phases and manage trades dynamically. It uses a Double Exponential Moving Average (DEMA) anchored to ATR volatility bands, creating a self-adjusting trend baseline. When the adjusted DEMA shifts direction, the strategy enters positions and scales out profit in phases based on ATR-driven targets. This system adapts to volatility, filters noise, and seeks sustained directional moves. ⯁ KEY FEATURES DEMA-Volatility Hybrid Filter Uses Double EMA with ATR expansion/compression logic to form a dynamic trend baseline. Directional Shift Entries Entries occur when the adjusted DEMA flips trend (bullish crossover or bearish crossunder vs its past value). Noise Reduction Mechanism ATR range caps extreme moves and prevents false flips during choppy volatility spikes. Multi-Level Take Profits Targets scale out positions at 1×, 2×, and 3× ATR multiples in the trade direction. Volatility-Adaptive Targets ATR multiplier ensures profit targets expand/contract based on market conditions. Single-Direction Exposure No pyramiding; the strategy flips position only when trend shifts. Automated Trade Finalization When all profit targets trigger, the position is fully closed. ⯁ STRATEGY LOGIC Trend Direction: DEMA baseline is modified using ATR upper/lower envelopes. • If the adjusted DEMA rises above previous value → Bullish • If it falls below previous value → Bearish Entry Rules: • Enter Long when bullish shift occurs and no long position exists • Enter Short when bearish shift occurs and no short position exists Take Profit Logic: 3 partial exits for each trade based on ATR: • TP1 = ±1× ATR • TP2 = ±2× ATR • TP3 = ±3× ATR Profit distribution: 30% / 30% / 40% Exit Conditions: • Exit when all TPs hit (full scale-out if sum of all TPs 100%) • Opposite trend signal closes current trade and opens new one ⯁ WHEN TO USE Trending environments Medium–high volatility phases Swing trading and intraday trend plays Markets that respect momentum continuation (crypto, indices, FX majors) ⯁ CONCLUSION This strategy blends DEMA trend recognition with ATR-based volatility adaptation to generate cleaner directional entries and structured take-profit exits. It is designed to capture momentum phases while avoiding noise-driven false signals, delivering a disciplined and scalable trend-following approach.
Strategi Pine Script®
oleh ChartPrime
2
RSI Strategy [PrimeAutomation]⯁ OVERVIEW The RSI Strategy is a momentum-driven trading system built around the behavior of the Relative Strength Index (RSI). Instead of using traditional overbought/oversold zones, this strategy focuses on RSI breakouts with volatility-based trailing stops, adaptive profit-targets, and optional early-exit logic. It is designed to capture strong continuation moves after momentum shifts while protecting trades using ATR-based dynamic risk management. ⯁ CONCEPTS RSI Breakout Momentum: Entries happen when RSI breaks above/below custom thresholds, signaling a shift in momentum rather than mean reversion. Volatility-Adjusted Risk: ATR defines both stop-loss and profit-target distances, scaling positions based on market volatility. Dynamic Trailing Stop: The strategy maintains an adaptive trailing level that tightens as price moves in the trade’s favor. Single-Position System: Only one trade at a time (no pyramiding), maximizing clarity and simplifying execution. ⯁ KEY FEATURES RSI Signal Engine • Long when RSI crosses above Upper threshold • Short when RSI crosses below Lower threshold These levels are configurable and optimized for trend-momentum detection. ATR-Based Stop-Loss A custom ATR multiplier defines the initial stop. • Long stop = price – ATR × multiplier • Short stop = price + ATR × multiplier Stops adjust continuously using a trailing model. ATR-Based Take Profit (Optional) Profit targets scale with volatility. • Long TP = entry + ATR × TP-multiplier • Short TP = entry – ATR × TP-multiplier Users can disable TP and rely solely on trailing stops. Real-Time Trailing Logic The stop updates bar-by-bar: • In a long trade → stop moves upward only • In a short trade → stop moves downward only This keeps the stop tight as trends develop. Early Exit Module (Optional) After X bars in a trade, opposite RSI signals trigger exit. This reduces holding time during weak follow-through phases. Full Visual Layer • RSI plotted with threshold fills • Entry/TP/Stop visual lines • Color-coded zones for clarity ⯁ HOW TO USE Look for RSI Breakouts: Focus on RSI crossing above the upper boundary (long) or below the lower boundary (short). These moments identify fresh momentum surges. Use ATR Levels to Manage Risk: Because stops and targets scale with volatility, the strategy adapts well to both quiet and explosive market phases. Monitor Trailing Stops for Trend Continuation: The trailing stop is the primary driver of exits—often outperforming fixed targets by catching larger runs. Use on Liquid Markets & Mid-Higher Timeframes: The system performs best where RSI and ATR signals are clean—crypto majors, FX, and indices. ⯁ CONCLUSION The RSI Strategy is a modern RSI breakout system enhanced with volatility-adaptive risk management and flexible exit logic. It is designed for traders who prefer momentum confirmation over mean reversion, offering a disciplined framework with robust protections and dynamic trend-following capability. Its blend of ATR-based stops, optional profit targets, and RSI-driven entries makes it a reliable strategy across a wide range of market conditions.
Strategi Pine Script®
oleh ChartPrime
Simple Grid Trading v1.0 [PUCHON]Simple Grid Trading v1.0 Overview This is a Long-Only Grid Trading Strategy developed in Pine Script v6 for TradingView. It is designed to profit from market volatility by placing a series of Buy Limit orders at predefined price levels. As the price drops, the strategy accumulates positions. As the price rises, it sells these positions at a profit. Features Grid Types : Supports both Arithmetic (equal price spacing) and Geometric (equal percentage spacing) grids. Flexible Order Management : Uses strategy.order for precise control and prevents duplicate orders at the same level. Performance Dashboard : A real-time table displaying key metrics like Capital, Cashflow, and Drawdown. Advanced Metrics : Includes Max Drawdown (MaxDD) , Avg Monthly Return , and CAGR calculations. Customizable : Fully adjustable price range, grid lines, and lot size. Dashboard Metrics The dashboard (default: Bottom Right) provides a quick snapshot of the strategy's performance: Initial Capital : The starting capital defined in the strategy settings. Lot Size : The fixed quantity of assets purchased per grid level. Avg. Profit per Grid : The average realized profit for each closed trade. Cashflow : The total realized net profit (closed trades only). MaxDD : Maximum Drawdown . The largest percentage drop in equity (realized + unrealized) from a peak. Avg Monthly Return : The average percentage return generated per month. CAGR : Compound Annual Growth Rate . The mean annual growth rate of the investment over the specified time period. Strategy Settings (Inputs) Grid Settings Upper Price : The highest price level for the grid. Lower Price : The lowest price level for the grid. Number of Grid Lines : The total number of levels (lines) in the grid. Grid Type : Arithmetic: Distance between lines is fixed in price terms (e.g., $10, $20, $30). Geometric: Distance between lines is fixed in percentage terms (e.g., 1%, 2%, 3%). Lot Size : The fixed amount of the asset to buy at each level. Dashboard Settings Show Dashboard : Toggle to hide/show the performance table. Position : Choose where the dashboard appears on the chart (e.g., Bottom Right, Top Left). How It Works Initialization : On the first bar, the script calculates the price levels based on your Upper/Lower price and Grid Type. Entry Logic : The strategy places Buy Limit orders at every grid level below the current price. It checks if a position already exists at a specific level to avoid "stacking" multiple orders on the same line. Exit Logic : For every Buy order, a corresponding Sell Limit (Take Profit) order is placed at the next higher grid level. MaxDD Calculation : The script continuously tracks the highest equity peak. It calculates the drawdown on every bar (including intra-bar movements) to ensure accuracy. Displayed as a percentage (e.g., 5.25%). Disclaimer This script is for educational and backtesting purposes only. Grid trading involves significant risk, especially in strong trending markets where the price may move outside your grid range. Always use proper risk management.
Strategi Pine Script®
oleh ProPuchon
CM MACD Ultimate MTF + SuperTrend Strategy [PickMyTrade]Overview This strategy is built upon ChrisMoody's legendary "CM_MacD_Ult_MTF" indicator (one of the most popular MACD indicators on TradingView with over 1.7 million views). The PickMyTrade team has converted this powerful indicator into a fully automated trading strategy with an essential SuperTrend filter for improved trade quality. What Makes This Different? While ChrisMoody's original MACD indicator provides excellent momentum signals with multi-timeframe analysis and 4-color histogram visualization, our strategy adds a critical enhancement: SuperTrend Trend Filter – We only take trades when both momentum AND trend agree: Long trades: MACD crosses above Signal Line AND SuperTrend is bullish (green) Short trades: MACD crosses below Signal Line AND SuperTrend is bearish (red) This combination dramatically reduces false signals in choppy markets and keeps you on the right side of the trend. How It Works The MACD Calculation Fast EMA (12) - Slow EMA (26) = MACD Line Signal Line = 9-period SMA of MACD Histogram = MACD - Signal (shows momentum strength) 4-Color Histogram Logic (ChrisMoody's Innovation) The histogram changes color based on direction AND position: Above Zero Line (Bullish Territory): Aqua → Histogram rising (strengthening bullish momentum) Blue → Histogram falling (weakening bullish momentum) Below Zero Line (Bearish Territory): Maroon → Histogram rising (weakening bearish momentum) Red → Histogram falling (strengthening bearish momentum) SuperTrend Filter Green background = Bullish trend (SuperTrend below price) Red background = Bearish trend (SuperTrend above price) Uses ATR (Average True Range) to adapt to market volatility Entry Signals Long Entry (Green Background Flash): MACD Line crosses above Signal Line SuperTrend is bullish (green) Optional: MACD above zero line for extra confirmation Short Entry (Red Background Flash): MACD Line crosses below Signal Line SuperTrend is bearish (red) Optional: MACD below zero line for extra confirmation Exit Signals: Opposite MACD/Signal crossover (configurable) SuperTrend reversal (configurable) Stop Loss / Take Profit levels (configurable) Key Features Multi-Timeframe Support – Analyze MACD on higher timeframes while trading on lower timeframes Visual Crossover Dots – Clear markers when MACD crosses Signal Line 4-Color Histogram – Instant visual feedback on momentum strength and direction SuperTrend Filter – Only trade with the trend, not against it Flexible Exit Options – Exit on opposite signal, SuperTrend flip, or fixed targets Risk Management Built-In – Customizable Stop Loss and Take Profit percentages Prop Firm Friendly – Conservative approach with trend confirmation Works on All Markets – Stocks, Forex, Crypto, Futures, Indices No Repainting – All signals are confirmed on bar close Recommended Settings For Stocks & Indices: MACD: 12/26/9 (default) SuperTrend: ATR Period 10, Multiplier 3.0 Timeframes: 1H, 4H, Daily Stop Loss: 2% For Crypto: MACD: 8/17/9 (faster settings for crypto volatility) SuperTrend: ATR Period 10, Multiplier 2.0 Timeframes: 15M, 1H, 4H Stop Loss: 3% For Forex: MACD: 12/26/9 (default) SuperTrend: ATR Period 10, Multiplier 3.0 Timeframes: 4H, Daily Stop Loss: 1.5% Input Parameters Timeframe Settings Use Current Chart Resolution: Toggle ON for current timeframe, OFF for custom MTF Custom Timeframe: Select higher timeframe for MACD calculation (e.g., 60 = 1 hour) MACD Settings Fast Length (12): Fast EMA period Slow Length (26): Slow EMA period Signal Length (9): Signal line smoothing period Source: Price input (default: close) SuperTrend Filter Use SuperTrend Filter: Toggle trend filter ON/OFF ATR Period (10): Period for ATR calculation ATR Multiplier (3.0): Sensitivity (lower = more signals, higher = stronger trends) Display Settings Show MACD & Signal Line: Toggle line display Show Dots at Crossovers: Visual markers at crosses Show Histogram: Toggle histogram display Change MACD Line Color: Dynamic coloring based on Signal Line cross MACD Histogram 4 Colors: Enable ChrisMoody's color scheme Strategy Settings Allow Short Positions: Enable/disable short trades Only Trade in Trend Direction: Extra filter (MACD > 0 for longs) Exit on Opposite Signal: Close position on reverse crossover Exit on SuperTrend Reversal: Close when trend changes Risk Management Use Stop Loss: Enable fixed stop loss Stop Loss % (2.0): Percentage from entry Use Take Profit: Enable fixed take profit Take Profit % (4.0): Percentage from entry Usage Tips Entry Tips: Wait for alignment – Don't force trades. Wait for both MACD cross AND SuperTrend confirmation Higher timeframe confirmation – Check the trend on a higher timeframe before entering Avoid low volatility – Best results during active trading sessions Volume confirmation – Look for above-average volume on entry signals Exit Tips: Let winners run – Consider using trailing stops instead of fixed take profits Cut losers quickly – Respect your stop loss levels Watch for divergences – If price makes new highs/lows but MACD doesn't, consider exiting Exit on SuperTrend flip – Strong signal that trend is changing Optimization Tips: Backtest thoroughly – Test on at least 6 months of data for your specific market Adjust for volatility – Lower ATR multiplier in volatile markets, higher in stable markets Match your timeframe – Shorter timeframes need faster MACD settings Consider session times – Some markets perform better during specific sessions Best Practices DO: Use on trending markets for best results Combine with higher timeframe analysis Test on demo account before going live Adjust parameters for each market/timeframe Use proper position sizing (1-2% risk per trade) DON'T: Trade during major news events without experience Use on choppy, range-bound markets Ignore the SuperTrend background color Overtrade – quality over quantity Risk more than you can afford to lose Performance Notes The strategy performs best when: Markets are trending (avoid ranging markets) Volatility is moderate to high Volume is above average Multiple timeframes align The strategy may underperform when: Markets are choppy or sideways During major news events (whipsaw risk) In extremely low volatility conditions Against strong macro trends Credits Original MACD Indicator: ChrisMoody - "CM_MacD_Ult_MTF" (April 10, 2014) Special thanks to ChrisMoody for creating one of the most comprehensive and visually intuitive MACD indicators on TradingView. His 4-color histogram and multi-timeframe features are preserved in this strategy. Strategy Conversion & Enhancement: PickMyTrade Team Added SuperTrend filter, automated trading logic, and risk management system. About PickMyTrade Strategy Automation: Love this strategy? Automate it with real-time execution! For Stock, Crypto, Futures & Options Trading: Visit pickmytrade.io Supported Brokers: Rithmic, TradeStation, TradeLocker, Interactive Brokers, ProjectX For Tradovate Futures Trading: Visit pickmytrade.trade Transform your TradingView strategies into fully automated trading systems with: Real-time order execution Alert-based automation Multiple broker connectivity Risk management controls Portfolio management 24/7 trading (crypto/forex) Disclaimer This strategy is for educational and informational purposes only. Important Risk Disclosure: Past performance does NOT guarantee future results Trading involves substantial risk of loss Never risk more than you can afford to lose Always test strategies on paper/demo accounts first This is not financial advice – consult a professional advisor Results will vary based on market conditions and individual execution Slippage, commissions, and spread costs will affect real-world performance Recommended: Start with small position sizes Use proper risk management (stop losses) Backtest thoroughly on your specific market Paper trade for at least 30 days before live trading Keep a trading journal to track performance
Strategi Pine Script®
oleh pickmytrade_io
NIFTY Options Breakout StrategyThis strategy trades NIFTY 50 Options (CALL & PUT) using 5-minute breakout logic, strict trend filters, expiry-based symbol validation, and a dynamic trailing-profit engine. 1️⃣ Entry Logic Only trades NIFTY 50 options, filtered automatically by symbol. Trades only between 10:00 AM – 2:15 PM (5m bars). Breakout trigger: Price enters the buy breakout zone (high of last boxLookback bars ± buffer). Trend filter: Price must be above EMA50 or EMA200, AND EMA50 ≥ EMA100 (to avoid weak conditions). Optional strengthening: EMA20>EMA50 OR EMA50>EMA100 recent cross can be enforced. Higher-timeframe trend check: EMA50 > EMA200 (bullish regime only). Start trading options only after expiry–2 months (auto-parsed). 2️⃣ One Trade Per Day Maximum 1 long trade per day. No shorting (long-only strategy). 3️⃣ Risk Management — SL, TP & Trailing Includes three types of exits: 🔹 A) Hard SL/TP Hard Stop-Loss: -15% Hard Take-Profit: +40% 🔹 B) Step-Ladder Trailing Profit As the option price rises, trailing activates: Max Profit Reached Exit Trigger When Falls To ≥ 35% ≤ 30% ≥ 30% ≤ 25% ≥ 25% ≤ 20% ≥ 20% ≤ 15% ≥ 15% ≤ 10% ≥ 5% ≤ 0% 🔹 C) Loss-Recovery Exit If loss reaches –10% but then recovers to 0%, exit at breakeven. 4️⃣ Trend-Reversal Exit If price closes below 5m EMA50, the long is exited instantly. 5️⃣ Optional Intraday Exit EOD square-off at 3:15 PM. 6️⃣ Alerts for Automation The strategy provides alerts for: BUY entry TP/SL/Trailing exit EMA50 reversal exit EOD exit
Strategi Pine Script®
oleh maheshxlent
HMA+RVOL Strategy Hariss 369The Hull Moving Average (HMA) is a smooth, fast, and highly responsive moving average created by Alan Hull. It reduces lag significantly while still maintaining smoothness, making it one of the most popular tools for trend detection and entries. It is widely used for trend filter. Hull Moving Average(HMA) with RVOL strengthens the trend as volume is prime factor of price movement. Trading with HMA: Simple method is buy when price closes above HMA , stop less below the low of last candle and target is 1.5 or 2 times of stop loss. The reverse is for sell. The HMA automatically turns to green on bull trend and red on bear trend for better visual confirmation. Adding RVOL to HMA is better method of trading. Buy signal is initiated when price closes above HMA and RVOL is greater than 1.2. Sell signal is initiated when price closes below 89 HMA and rovl is greater than 1.2. One can change the value of RVOL according to trading style and type asset being traded. It is a back tested strategy.
Strategi Pine Script®
oleh Hariss369
1M XAU Cumulative Delta Volume with OB Breakouts ### Overview This is a **session-based CVD strategy** built around the **00:00–07:00 CEST range**. It finds the high/low of that session, turns them into **adaptive ATR-based support (yellow)** and **resistance (purple)** zones, and trades only **CVD-confirmed reversals** off those levels. --- ### How it Works * For each day, the script: * Builds a 00:00–07:00 CEST **profile high/low**. * Creates a **support zone** around the session low and a **resistance zone** around the session high. * Using lower timeframe data, it reconstructs **Cumulative Volume Delta (CVD)** and a **recent delta** filter. * It arms “pending” states when price **enters a zone from the correct side**, then confirms: * **BUY (long):** price reclaims above support and recent CVD is strongly positive. * **SELL (short):** price rejects below resistance and recent CVD is strongly negative. Only these two CVD signals (`buySignal` / `sellSignal`) open trades. --- ### Strategy Logic * **Entries** * `buySignal` → open **long** (if flat). * `sellSignal` → open **short** (if flat). * No pyramiding; one position at a time. * **Exits (only TP & SL)** * Long: TP at `avg_price * (0.5 + TP%)`, SL at `avg_price * (1 – SL%)`. * Short: TP at `avg_price * (0.5 – TP%)`, SL at `avg_price * (1 + SL%)`. * No opposite-signal exits. --- ### Extras * **Reversal markers** on yellow/purple zones and **breakout/retest markers** are plotted for context and alerts but **do not trigger entries**. * Zone width and “thickening” are ATR-based so important touches and near-touches are easy to see. * Only suited for **1m intraday scalping** (e.g. XAU/USD), but can be tested on other markets/timeframes.
Strategi Pine Script®
oleh FredAstaire
MA均线全仓回测//@version=5 strategy("39日MA均线全仓交易策略 (2017-2025)", overlay=true, initial_capital=1000, commission_type=strategy.commission.percent, commission_value=0.1, pyramiding=0) // 策略参数 startDate = input.time(timestamp("2017-08-01T00:00:00"), title="回测开始日期") endDate = input.time(timestamp("2025-11-11T23:59:59"), title="回测结束日期") maLength = input.int(39, title="MA周期", minval=1) useSMA = input.bool(true, title="使用SMA(简单移动平均)") // 计算移动平均线 maValue = useSMA ? ta.sma(close, maLength) : ta.ema(close, maLength) // 绘制MA线 plot(maValue, color=color.new(color.blue, 0), linewidth=2, title="39日MA") // 确定是否在回测时间范围内 inDateRange = time >= startDate and time <= endDate // 交易逻辑 - 全仓交易 if inDateRange // 生成交易信号：价格上穿MA时全仓买入，下穿MA时全仓卖出 longCondition = ta.crossover(close, maValue) shortCondition = ta.crossunder(close, maValue) // 执行交易 - 全仓操作 if longCondition strategy.entry("全仓买入", strategy.long, qty=strategy.equity/close) if shortCondition strategy.close("全仓买入", comment="全仓卖出") // 在回测时间范围外显示背景色 bgcolor(inDateRange ? color.new(color.green, 95) : na, title="回测期间背景") // 添加性能统计和资金曲线 var float totalReturn = 0.0 if barstate.islast and inDateRange totalReturn := ((strategy.netprofit + 1000) / 1000 - 1) * 100 label.new(bar_index, high, text="回测结果: 初始资金: 1000 USDT 最终权益: " + str.tostring(strategy.netprofit + 1000, "#.##") + " USDT 总收益率: " + str.tostring(totalReturn, "#.##") + "% 总交易次数: " + str.tostring(strategy.closedtrades) + "次", style=label.style_label_down, color=color.new(color.blue, 80), textcolor=color.white, size=size.normal) // 绘制权益曲线 plot(strategy.equity, title="资金曲线", color=color.new(color.purple, 0), linewidth=1, trackprice=true)
Strategi Pine Script®
oleh stars888
Nifty Breakout Levels Strategy (v7 Hybrid)Nifty Breakout Levels Strategy (v7 Hybrid – Compounding from Start Date) Instrument / TF: Designed for current-month NIFTY futures on 1-hour timeframe, with at most 1 trade per day. Entry logic: Uses a 10-bar breakout box with a 0.3% buffer, plus EMA-based trend + proximity filter. Longs: price in breakout-high zone, above EMA50/EMA200 and within proximityPts. Shorts: price in breakout-low zone and strong downtrend (EMA10 < EMA20 < EMA50 < EMA200, price below EMA200). Trades only when ATR(14) > atrTradeThresh and during regular hours (till 15:15). Risk / exits: Stop loss is ATR-adaptive – max of slBasePoints (100 pts) and ATR * atrSLFactor; TP is fixed (tpPoints, e.g. 350 pts). Longs have stepped trailing profit levels (100/150/200/250/320 pts) that lock in gains on pullbacks. Shorts have trailing loss-reduction levels (80/120/140 pts) to cut improving losses. Additional exit: 1H EMA50 2-bar reversal against the position, plus optional EOD flatten at 3:15 PM. Compounding engine: From a chosen start date, equity is rebased to startCapital, and lot size scales dynamically as equity / capitalPerLot, with automatic lot reductions at three drawdown thresholds (ddCut1 / 2 / 3). Automation: All entries and exits are exposed via alertconditions (long/short entry & exit) so the strategy can be connected to broker/webhook automation.
Strategi Pine Script®
oleh maheshxlent
Crypto Grid 2025+ Long Only (Asym TP)Crypto Grid 2025+ Long Only (Asymmetric Take-Profit) is a long-only mean-reversion grid strategy designed for intraday cryptocurrency trading. The core idea is to accumulate long positions as price moves downward within a locally defined price range and to exit positions on upward retracements. The strategy automatically builds a multi-level grid between the highest and lowest price over a user-defined lookback period (“range length”). Each grid level acts as a potential entry point when price crosses it from above. Key Features 1. Long-only grid logic The strategy opens long positions only, progressively increasing exposure as price moves into lower grid levels. 2. Asymmetric take-profit mechanism Instead of taking profit strictly at the next grid level, the strategy allows targeting multiple levels above the entry point. This increases the average profit per winning trade and shifts the reward-to-risk profile toward larger, less frequent wins. 3. Optional partial take-profit A portion of each trade can be closed at the nearest grid level, while the remainder is held for a more distant asymmetric target. This balances consistency and profit potential. 4. Volume-based market filter Entries can be restricted to periods of healthy market activity by requiring volume to exceed a moving-average baseline. 5. Capital-scaled position sizing Position size is determined by risk percentage, grid spacing, and a dynamic sizing mode (original / conservative / aggressive). 6. Built-in risk controls global stop below the lower boundary of the range, global take-profit above the upper boundary, automatic shutdown after a configurable loss-streak. Market Philosophy This strategy belongs to the mean-reversion family: it expects short-term overshoots to revert back toward mid-range liquidity zones. It is not trend-following. It performs best in choppy, range-bound, or slow-grinding markets — especially on liquid crypto pairs. Recommended Use Cases Short timeframes (1–15 minutes) High-liquidity crypto pairs Sideways or rotational price action Exchanges with low fees (due to higher order count) Not Intended For Strong trending markets without pullbacks Assets with thin order books Use with leverage without additional risk controls Summary Crypto Grid 2025+ Long Only (Asymmetric TP) is a refined grid-based mean-reversion strategy optimized for modern crypto markets. Its asymmetric take-profit framework is specifically engineered to reduce the classical issue of “small wins and large occasional losses” found in traditional grid systems, giving it a more favorable long-term trade distribution.
Strategi Pine Script®
oleh RomanEnlil
MTF EMA Hariss 369The strategy has been prepared in a simplistic manner and easy to understand the concept by any novice trader. Indicators used: Current Time frame 20 EMA- Gives clear look about current time frame dynamic support and resistance and trend as well. Higher Time Frame 20 EMA: Gives macro level trend, support and resistance Kama: Capture volatility and trend direction. RVOL: Main factor of price movement. Buy when price closes above current time frame 20 ema and current time frame 20 ema is above higher time frame 20 ema. Stop loss just below the low of last candle. One can use current time frame 20 ema, higher time frame 20 ema or kama as stop loss depending upon type of asset class and risk appetite. The ideal way is to keep 20 ema as trailing sl if one wants to trail with trend. Sell when price closes below current time frame 20 ema and current time frame 20 ema is lower than higher time frame 20 ema. Stop loss just above high of last candle. Ideal target is 1.5 or 2 times of stop loss. Entry and exit time depends on trading style. Eg. if you want to enter and exit in 5 min time frame, then choose 15 min or 1h as higher time frame as trend filter. Buy and sell signals are also plotted based on this strategy. One should always go with the higher time frame trend. Opting higher time frame trend filter always filters out market noises.
Strategi Pine Script®
oleh Hariss369
Oracle Protocol — Arch Public (Testing Clone) Oracle Protocol — Arch Public Series (testing clone) This model implements the Arch Public Oracle structure: a systematic accumulation-and-distribution engine built around a dynamic Accumulation Cost Base (ACB), strict profit-gate exit logic, and a capital-bounded flywheel reinvestment system. It is designed for transparent execution, deterministic behaviour, and rule-based position management. Core Function Set 1. Accumulation Framework (ACB-Driven) The accumulation engine evaluates market movement against defined entry conditions, including: Percentage-based entry-drop triggers Optional buy-below-ACB mode Capital-gated entries tied to available ledger balance Fixed-dollar and min-dollar entry rules (as seen in Arch public materials) Automated sizing through flywheel capital Range-bounded ledger for controlled backtesting input Each qualifying buy updates the live ACB, maintains the internal ledger, and forms the next reference point for exit evaluation. No forecasting mechanisms are included. 2. Profit-Gate Exit System Exits are governed by the standard Arch public approach: A sealed ACB reference for threshold evaluation Optional live-ACB visibility Profit-gate triggers defined per asset class Candle-confirmation integration (“ProfitGate + Candle” mode) Distribution only when the smallest active threshold is met This provides a consistent cadence with published Arch diagrams and PDFs. 3. Once-Per-Rally Governance After a distribution, the algorithm locks until price retraces below the most recent accumulation base. Only after re-arming can the next profit gate activate. This prevents over-frequency selling and aligns with the public-domain Oracle behaviour. 4. Quiet-Bars & Threshold Cluster Control A volatility-stabilisation layer prevents multiple exits from micro-fluctuations or transient spikes. This ensures clean execution during fast markets and high volatility. 5. Flywheel Reinvestment Distribution proceeds automatically return to the capital pool where permitted, creating a closed system of: Entry sizing Exit proceeds Ledger-managed capital state All sizing respects capital boundaries and does not breach dollar floors or overrides. 6. Automation Hooks and Integration The script exposes: 3Commas-compatible JSON sizing Entry/exit signalling via alertcondition() Deterministic event reporting suitable for external automation This allows consistent deployment across automated execution environments. 7. Visual Tooling Optional displays include: Live ACB line Exit-guide markers Capital, state, and ledger panels Realized/unrealized outcome tracking based on internal logic only Visual components do not influence execution rules. Operating Notes This model is rule-based, deterministic, and non-predictive. It executes only according to the explicit thresholds, capital limits, and state transitions defined within the script. No discretionary or forward-looking logic is included.
Strategi Pine Script®
oleh gleefulJaguar47150