Şimdi başlat

Dönemler

My Swift-like Algo ALIMOJANIDSwift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management. It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions. 🔑 Key Features Trend Regime Detection Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs. Pullback Entry Signals Signals appear only in the direction of the active trend, with optional RSI confirmation. ATR-Based Risk Levels Automatically plots SL, TP1, and TP2, including exact price values on the chart. Preview Levels Shows projected SL/TP levels when a trend is active, even before an entry. Market Structure Visualization Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH. Clean & Non-Repainting Logic Uses confirmed pivots and closed candles for stability. Strategy-Compatible Can be used for discretionary trading or full strategy backtesting. 🧠 Best Used For Crypto, Forex, Indices 15m to 4H timeframes Traders who want structure + trend + risk clarity in one tool
Pine Script® stratejisi
Jean1876 tarafından
My Swift-like Algo J.ALIMOJANIDSwift Algo Chart — Trend, Structure & ATR Risk Swift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management. It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions. 🔑 Key Features Trend Regime Detection Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs. Pullback Entry Signals Signals appear only in the direction of the active trend, with optional RSI confirmation. ATR-Based Risk Levels Automatically plots SL, TP1, and TP2, including exact price values on the chart. Preview Levels Shows projected SL/TP levels when a trend is active, even before an entry. Market Structure Visualization Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH. Clean & Non-Repainting Logic Uses confirmed pivots and closed candles for stability. Strategy-Compatible Can be used for discretionary trading or full strategy backtesting. 🧠 Best Used For Crypto, Forex, Indices 15m to 4H timeframes Traders who want structure + trend + risk clarity in one tool
Pine Script® stratejisi
Jean1876 tarafından
My Swiftlike Algo Backtest ATR SL/TP HH/HL/LH/LL BOS/CHOCHSwift-Like Algo is a trend-following strategy that trades pullbacks using EMA trend direction, market structure (HH/HL/LH/LL), and ATR-based risk management. It enters only in the direction of the trend, with automatic Stop-Loss, TP1, and TP2, and supports full strategy backtesting. Best used on 15m–4H timeframes for crypto, forex, and indices. ⚠️ For educational and testing purposes only.
Pine Script® stratejisi
Jean1876 tarafından
HARSI RSI Shadow SHORT Strategy M1HARSI – Heikin Ashi RSI Shadow Indicator HARSI (Heikin Ashi RSI Shadow) is a momentum-based oscillator that combines the concept of Heikin Ashi smoothing with the Relative Strength Index (RSI) to reduce market noise and highlight short-term trend strength. Instead of plotting traditional price candles, HARSI transforms RSI values into a zero-centered oscillator (RSI − 50), allowing traders to clearly identify bullish and bearish momentum around the median line. The smoothing mechanism inspired by Heikin Ashi candles helps filter out false signals, making the indicator especially effective on lower timeframes such as M1. The RSI Shadow reacts quickly to momentum shifts while maintaining smooth transitions, which makes it suitable for scalping and intraday trading. Key threshold levels (such as ±20 and ±30) can be used to detect momentum expansion, exhaustion, and potential continuation setups.
Pine Script® stratejisi
RumeryWise0288 tarafından
mua HARSI RSI Shadow Strategy M1 (Fixed)HARSI – Heikin Ashi RSI Shadow Indicator HARSI (Heikin Ashi RSI Shadow) is a momentum-based oscillator that combines the concept of Heikin Ashi smoothing with the Relative Strength Index (RSI) to reduce market noise and highlight short-term trend strength. Instead of plotting traditional price candles, HARSI transforms RSI values into a zero-centered oscillator (RSI − 50), allowing traders to clearly identify bullish and bearish momentum around the median line. The smoothing mechanism inspired by Heikin Ashi candles helps filter out false signals, making the indicator especially effective on lower timeframes such as M1. The RSI Shadow reacts quickly to momentum shifts while maintaining smooth transitions, which makes it suitable for scalping and intraday trading. Key threshold levels (such as ±20 and ±30) can be used to detect momentum expansion, exhaustion, and potential continuation setups. HARSI works best in liquid markets and can be used as a standalone momentum indicator or combined with trend filters such as moving averages or VWAP for higher-probability trades. Key Features: Zero-centered RSI oscillator (RSI − 50) Heikin Ashi–style smoothing to reduce noise Clear momentum-based entry signals Optimized for lower timeframes (M1 scalping) Suitable for both Spot and Futures trading
Pine Script® stratejisi
RumeryWise0288 tarafından
BULL Whale Finder + BTC 1hBULL Whale Finder + BTC 1h is a long-only strategy designed to capture strong impulsive moves in Bitcoin. It trades expansion (Whale) bars that appear in the direction of the trend, confirmed by the 200-period moving average on both 1H and 4H, with price holding above the 20-period moving average. Entries focus on impulsive moves that originate from structural zones, not late breakouts. Risk management is fully automated: ATR-based initial stop Automatic profit protection (Pay-Self) Adds and partial exits based on the expansion-bar sequence A protected runner managed with a trailing stop The user only sets the risk per trade (MLPT). All other parameters are hardcoded and locked to prevent over-optimization. 👉 Ready for backtesting, discretionary execution, or full automation.
Pine Script® stratejisi
manueldelcura1 tarafından
ETH Vol Breakout - NO ERROR VERSIONThis strategy examines the impact of Eth.d Vol on Ethereum price. Looking at ETHDVOL -60 (Support) and 78 (Resistance)—tell a very specific story - analyzing a High Volatility Regime. The support level around 60 and resistance 78, tend to only occurs during Bull Runs or Market Crashes. In the "Quiet Years", ETHDVOL rarely touched 60, let alone 78. Trying to develop a strategy that is perfectly tuned for a Bull Market or a Crisis, 1. The "60 Floor" (Support) Context: In a high-volatility regime, when ETHDVOL drops to 60, it indicates the market has "cooled off" just enough to reload leverage. Historical Behavior (2021-2022 Context): July 2021: After the May crash, ETHDVOL compressed down and found support at ~65. Result: This marked the local bottom before the massive run-up to the November All-Time Highs ($4,800). Outcome: Strong Buy Signal (Trend Continuation). January 2022: ETHDVOL dropped to ~58-60 while price was hovering around $3,000. Result: The floor broke, volatility spiked to 80+, and price crashed to $2,200. Outcome: Trap / Warning Signal. The Pattern: When Volatility hits 60 (Support), price is usually Coiling. If Price is trending UP: This is a "dip buy" opportunity. The coil resolves upwards. If Price is trending DOWN: This is the "calm before the flush." The coil resolves downwards. 2. The "78 Ceiling" (Resistance) Context: 78 is an extreme reading. It represents panic (bottom) or euphoria (blow-off top). Historical Behavior: May 2021 (The Crash): ETHDVOL smashed through 78, peaking at 100+. Price Action: Price collapsed from $4,000 to $1,700. Signal: If Vol > 78, you are in a capitulation event. Buying spot here is usually profitable within 3-6 months (buying the blood). November 2022 (FTX Collapse): ETHDVOL spiked to ~75-80. Price Action: ETH hit $1,100 (Cycle Lows). Signal: Hitting 78 marked the Absolute Bottom. November 2021 (The Top): Interestingly, at the $4,800 price peak, Volatility was NOT at 78. It was lower (~60-70). Insight: Bull market tops often happen on lower volatility than bear market bottoms.
Pine Script® stratejisi
chart_inator tarafından
Estrategia Timing SMA 10 de Faber Introduction This strategy is based on the classic trend-following logic popularized by Meb Faber in his white papers (such as "A Quantitative Approach to Tactical Asset Allocation") and frequently discussed by financial analyst José Luis Cárpatos. The core philosophy is simple but effective: stay in the market during uptrends to capture growth, and move to cash during downtrends to protect capital from major drawdowns. This is a long-term "Timing" strategy designed for investors who want to filter out market noise and focus on the primary macro trend. How it Works The strategy utilizes a specific Moving Average on a Monthly timeframe to determine the trend direction. The Indicator: A 10-period Simple Moving Average (SMA) calculated on the Monthly timeframe (1M). Long Condition: When the Monthly Close price is above the 10-Month SMA, the strategy enters a Long position (Risk On). Exit Condition (Cash): When the Monthly Close price falls below the 10-Month SMA, the strategy closes the position and stays in Cash (Risk Off). It does not open short positions; it simply exits the market to preserve capital. Key Features (Multi-Timeframe) This script has been coded using request.security to force the calculation on Monthly data (1M), regardless of the chart timeframe you are currently viewing. This allows you to view the strategy on a Daily or Weekly chart while ensuring the mathematical logic remains strictly bound to the Monthly moving average. The SMA line will appear "stepped" on lower timeframes (e.g., Daily), representing the constant value of the SMA for that specific month. Settings Length: Default is 10 (representing 10 Months), but this can be adjusted if you wish to test other periods (e.g., 12 months). Source: Defaults to close. Visuals Blue Line: Represents the 10-Month SMA. Background Color: Green: Indicates the strategy is currently Long (Price > SMA). Red/Grey: Indicates the strategy is in Cash (Price < SMA). Important Note on Backtesting & Repainting Because this strategy requests Monthly data on lower timeframes (like Daily), please be aware that the current month's data is dynamic. The signal is technically confirmed only at the close of the monthly bar. When viewing on a Daily chart, the script evaluates the relationship between the current price and the current monthly SMA. Disclaimer This script is for educational and research purposes only. Past performance is not indicative of future results. Always manage your risk appropriately.
Pine Script® stratejisi
MrOskama tarafından
CK INDEX Strategy Open-source code, Free, No Cost.Aqui está a tradução fiel e técnica para o inglês, ideal para a descrição do seu script no TradingView: ### 1. Requirements (The 3 Principles) 1. **Study** the code. 2. **Modify** the code. 3. **Distribute** copies or derivative versions (respecting the original credits). Description: Direction and Strength — CK Index The **CK Index** is a composite indicator formed by the conceptual sum of two CCIs and the PVT (Price Volume Trend) with an arithmetic mean. Its function is to simultaneously validate direction and accumulated flow. For a **buy operation**, both CCIs must be above zero, indicating bullish dominance across different time horizons, and the PVT must be above its average. For a **sell operation**, the CCIs must be below zero and the PVT below its average. It is important to emphasize that it acts as an **entry trigger**: the candle will turn **blue** to indicate a buy, **yellow** for a sell, and **white** when there is neutrality (meaning the color will be white when there is no clear definition—these are my personal settings). In its default form, it uses **green, red, and gray**, respectively. Good trades, and make the world a better and freer place!
Pine Script® stratejisi
musashibruno tarafından
ETH Dynamic Risk Strategy# ETH Dynamic Risk Strategy - Publication Description ## Overview The ETH Dynamic Risk Strategy is a systematic approach to accumulating Ethereum during bear markets and distributing during bull markets. It combines multiple risk indicators into a single composite metric (0-1 scale) that identifies optimal buying and selling zones based on market conditions. ## Key Features • **Multi-Component Risk Metric**: Combines 4 weighted indicators to assess market conditions • **Tiered Buy/Sell System**: 3 levels of buy signals (L1, L2, L3) and 3 levels of sell signals based on risk thresholds • **Configurable Filters**: Optional buy filters to reduce signal frequency by 30-50% • **Visual Risk Zones**: Color-coded risk metric plot with clear threshold lines • **Comprehensive Dashboard**: Real-time statistics including position size, P/L, and component scores ## How It Works ### Risk Components (Configurable Weights) 1. **Log Return from ATH** (Default: 35%) - Tracks drawdown from all-time high over lookback period - Deep drawdowns (-70% to -90%) = low risk / buying opportunity - Near ATH (0% to -20%) = high risk / selling opportunity 2. **ETH/BTC Ratio** (Default: 25%) - Measures ETH strength relative to Bitcoin - Below historical average = ETH undervalued = low risk - Above historical average = ETH overvalued = high risk 3. **Volatility Regime** (Default: 20%) - Compares current volatility to long-term average - Compressed volatility at lows = opportunity - Expanded volatility at highs = danger 4. **Trend Strength** (Default: 20%) - Uses multiple EMA alignment and slope analysis - Strong downtrends = low risk scores - Strong uptrends = high risk scores ### Trading Logic **Buy Signals:** - L1: Risk ≤ 0.30 → Buy $100 (default) - L2: Risk ≤ 0.20 → Buy $250 total - L3: Risk ≤ 0.10 → Buy $450 total **Sell Signals (Sequential):** - L1: Risk ≥ 0.75 → Sell 25% of position - L2: Risk ≥ 0.85 → Sell 35% of remaining - L3: Risk ≥ 0.95 → Sell 40% of remaining **Buy Filters (Optional):** - Minimum days between buys (prevents clustering) - Minimum risk drop required (ensures falling risk) - Toggle on/off to compare performance ## Settings Guide ### Risk Components Toggle individual components on/off and adjust their weights. Total weight is automatically normalized. Experiment with different combinations to match your market view. ### Advanced Settings - ATH Lookback: How far back to look for all-time highs (500-2000 recommended) - Volatility Period: Window for volatility calculations (40-100 recommended) - ETH/BTC MA Period: Moving average for ratio comparison (100-300 recommended) - Trend Period: Base period for trend calculations (50-150 recommended) ### Trading Thresholds Customize buy/sell trigger points and position sizes. Lower buy thresholds = more aggressive accumulation. Higher sell thresholds = holding longer into bull markets. ### Buy Filters - Enable/disable filtering system - Min Days Between Buys: Spacing between purchases (1-3 recommended) - Min Risk Drop: How much risk must fall (-0.001 to -0.01 range) ## Best Practices • **Timeframe**: Works best on daily (1D) and 3-day (3D) charts • **Initial Capital**: Set based on your DCA budget (default $10,000) • **Backtest First**: Test different parameter combinations on historical data • **Position Sizing**: Adjust buy amounts to match your risk tolerance • **Monitor Filters**: Check "Filtered Buys" stat to ensure filter isn't too strict ## Use Cases - Long-term ETH accumulation strategy - Systematic DCA with market-adaptive buying - Risk-based portfolio rebalancing - Educational tool for understanding crypto market cycles ## Disclaimer This strategy is for educational purposes only. Past performance does not guarantee future results. Cryptocurrency trading involves substantial risk. The strategy uses historical price action and technical indicators which may not predict future movements. Always do your own research and never invest more than you can afford to lose. ## Credits Strategy concept and development by nakphanan with assistance from Claude AI (Anthropic). Built using Pine Script v5....Mostly from Claude AI!!! ## Version History v7.0 - Initial release with 4-component risk metric, tiered trading system, and optional buy filters
Pine Script® stratejisi
nakphanan tarafından
2
RSI Ladder TP Strategy v1.0 Overview This strategy is an RSI-based reversal entry system with a ladder-style take-profit mechanism. It supports Long-only, Short-only, or Both directions and provides optional Average Entry Price, Stop Loss, and Take Profit reference lines on the chart. Entry Rules Long Entry: RSI crosses above the Oversold level (default: 20). Short Entry: RSI crosses below the Overbought level (default: 80). Optional: If enabled, the script will close the current position when an opposite signal appears before opening a new one. Exit Rules (Ladder Take Profit) Take profit is placed as a ladder using tpLevels and tpStepPct. Example (default tpStepPct = 1%, tpLevels = 10): TP1 at +1%, TP2 at +2%, … TP10 at +10% (relative to current average entry price). Each TP level closes tpClosePct of the remaining position, meaning it scales out geometrically: If tpClosePct = 50% → remaining position becomes 50%, then 25%, then 12.5%, etc. Stop Loss Optional stop loss is placed at slPct (%) away from the average entry price: Long: avg * (1 - slPct%) Short: avg * (1 + slPct%) Visual Lines Average Entry Price Line: current strategy.position_avg_price Stop Loss Line: based on slPct Next TP Line: shows the estimated next TP level based on current profit% All TP Lines: optional (can clutter the chart) ============================================================== Recommended Use This strategy is best used on markets with strong mean-reversion behavior. For exchanges/bots that do not support hedge mode in a single strategy, run two separate instances: One set to Long Only One set to Short Only
Pine Script® stratejisi
ORYXA tarafından
Trend Pulse Channel StrategyOverview Trend Pulse Channel Strategy is a long-only trend-following breakout strategy built around an adaptive multi-pole smoothing filter and a volatility-adjusted price channel. The strategy is designed to participate in sustained directional moves by entering only when price confirms momentum strength beyond a dynamic upper boundary, while avoiding mean-reversion and low-quality consolidation phases. This script is published as a strategy and includes realistic backtesting assumptions for position sizing, commissions, and slippage. Core Concept At the heart of the strategy is a multi-pole adaptive EMA-based filter, inspired by advanced digital signal smoothing techniques. Using multiple poles allows the filter to reduce noise while preserving responsiveness to genuine trend changes. To adapt the channel width to changing market conditions, the strategy applies the same filtering logic to True Range, producing a volatility-aware envelope rather than a static or fixed-percentage band. This combination allows the strategy to: Track directional bias using a smoothed central filter Adjust channel width dynamically based on market volatility Trigger entries only when price expansion confirms trend strength Entry Logic A long position is opened when: Price crosses above the upper channel band The signal occurs within the user-defined date range This condition represents a volatility-confirmed breakout aligned with the prevailing directional filter. Exit Logic The long position is closed when: Price crosses back below the upper band This exit logic aims to stay in trending moves while exiting when upside momentum weakens. The strategy does not open short positions by design. Inputs and Defaults The default inputs are selected to balance smoothness, responsiveness, and stability: Source (HLC3): Reduces single-price noise by averaging high, low, and close Period (144): Defines the primary smoothing horizon of the adaptive filter Poles (4): Controls the smoothness vs. responsiveness trade-off Range Multiplier (1.414): Scales the volatility envelope using filtered True Range Reduced Lag (optional): Applies lag compensation to improve responsiveness Fast Response (optional): Blends multi-pole and single-pole filters for quicker reaction at the cost of smoothness All inputs are fully configurable and can be adjusted to suit different instruments and timeframes. Risk Management & Position Sizing The strategy uses: Position size: 10% of equity per trade No pyramiding Long positions only This sizing approach is intended to reflect sustainable risk exposure rather than aggressive capital deployment. Users may further adjust position size based on their own risk tolerance. Backtesting Assumptions The strategy is tested using : Initial capital: 10,000 Commission: 0.1% Slippage: 1 tick Order fill model: Standard OHLC These settings are chosen to provide more realistic performance estimates compared to idealized backtests. This strategy is best suited for : Trend-oriented markets Higher timeframes where breakouts are more reliable Users seeking systematic trend participation rather than frequent scalping In sideways or range-bound market conditions, price may cross the channel boundaries frequently. This can result in a higher number of entry and exit signals that do not develop into sustained trends. For this reason, the strategy should be used with an understanding of basic technical analysis concepts, including market structure, trend identification, and consolidation behavior. It is intended as a decision-support tool, not a standalone trading system. Users—whether beginners or experienced traders—should avoid relying solely on this strategy and are encouraged to combine it with broader market context and additional analysis methods. Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial advice. Past performance does not guarantee future results.
Pine Script® stratejisi
ADXAE tarafından
EURUSD | Yield Curve Flip Strategy (2s10s State Flips)Strategy Core (Concept) The strategy trades EURUSD exclusively when the US yield curve regime (2Y/10Y) flips into a new, clearly bullish or bearish regime. The core assumption is that re-pricing in the US yield curve (rather than individual data points) is a robust driver of USD strength or weakness and can act as a structural trigger for trend changes. ⸻ Data Basis • Uses US 2Y Yield (TVC:US02Y) and US 10Y Yield (TVC:US10Y). • The 2s10s curve is calculated as: curveUS = US10Y – US2Y • Regime assessment is based on the N-day change (default: 5 days), calculated on true rates bars (not intraday noise). ⸻ Regime Detection (Correct Bond Logic) First, the strategy checks whether the curve has significantly steepened or flattened over the lookback period: • Steepener if Δ(2s10s) > thrCurve (default: +0.10 percentage points = 10 bp) • Flattener if Δ(2s10s) < −thrCurve Next, a leg confirmation determines the specific type of steepener/flattener (default thrLeg = 5 bp): Bull Steepener • Curve steepens because yields fall, with the 2Y falling more (risk-off / rate-cut pricing) Bear Steepener • Curve steepens because yields rise, with the 10Y rising more (reflation / term-premium move) Bull Flattener • Curve flattens because yields fall, with the 10Y falling more (growth shock / long-end rally) Bear Flattener • Curve flattens because yields rise, with the 2Y rising more (hawkish repricing / front-end up) Important: By default, a Bear Steepener is not treated as a bearish signal, unless allowBearSteepForShort is enabled. ⸻ State Machine (Memory + Flip Triggers) The strategy maintains a persistent state variable curveState: • +1 = bullish • −1 = bearish • 0 = neutral The state is updated only on a new rates bar (daily rates when tfRates = "D"), avoiding intraday noise. A trade is generated only on a true regime flip: • flipToBull: new state turns bullish and the previous state was bearish (or neutral, if allowed) • flipToBear: new state turns bearish and the previous state was bullish (or neutral, if allowed) The option enterFromNeutral controls whether the first clear regime emerging from neutral is traded. The option onlyOnNewRatesBar ensures signals occur only when a new rates bar is printed, providing clean timing. ⸻ Trading Rules (Entry / Exit) There are no stops, targets, or trailing mechanisms. The strategy is a pure regime-switching / reversal system: • On flipToBull • Close short (“S”) • Open long (“L”) • On flipToBear • Close long (“L”) • Open short (“S”) Positions are therefore held until the next regime flip. ⸻ Parameter Interpretation • N: Smoothing / inertia. Smaller = faster but noisier; larger = more stable but later. • thrCurve: Minimum curve move required to define a regime. • thrLeg: Minimum move of the confirming leg (2Y or 10Y) to reduce misclassification. • allowBearSteepForShort: Makes the system more aggressive (more bearish signals), but represents a different macro case. • enterFromNeutral: Increases trade frequency by trading the first regime impulse. ⸻ What You See on the Chart • Background shading: • Green for bullish state • Red for bearish state • The curve and Δ-curve are plotted but hidden (display=none), mainly for debugging and analysis.
Pine Script® stratejisi
Deepray tarafından