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Indicatori e strategie

MACD StrategyOverview The "MACD Strategy" is a straightforward trading strategy tested for BTCUSDT Futures on the 1-minute timeframe, leveraging the Moving Average Convergence Divergence (MACD) indicator to identify momentum-based buy and sell opportunities. Developed with input from expert trading analyst insights, this strategy combines technical precision with risk management, making it suitable for traders of all levels on platforms like TradingView. It focuses on capturing trend reversals and momentum shifts, with clear visual cues and automated alerts for seamless integration with trading bots (e.g., Bitget webhooks). #### How It Works This strategy uses the MACD indicator to generate trading signals based on momentum and trend direction: - **Buy Signal**: Triggered when the MACD line crosses above the signal line, and the MACD histogram turns positive (above zero). This suggests increasing bullish momentum. - **Sell Signal**: Triggered when the MACD line crosses below the signal line, and the MACD histogram turns negative (below zero), indicating growing bearish momentum. Once a signal is detected, the strategy opens a position (long for buy, short for sell) with a position size calculated based on your risk tolerance. It includes a stop-loss to limit losses and a take-profit to lock in gains, both dynamically adjusted using the Average True Range (ATR) for adaptability to market volatility. #### Key Features - **MACD-Based Signals**: Relies solely on MACD for entry points, plotted in a separate pane for clear momentum analysis. - **Risk Management**: Automatically calculates position size based on a percentage of your account balance and sets stop-loss and take-profit levels using ATR multipliers and a risk:reward ratio. - **Visual Feedback**: Plots entry, stop-loss, and take-profit lines on the chart with labeled markers for easy tracking. - **Alerts**: Includes Bitget webhook-compatible alerts for automated trading, notifying you of buy and sell signals in real-time. #### Input Parameters - **Account Balance**: Default 10000 – Set your initial trading capital to determine position sizing. - **MACD Fast Length**: Default 12 – The short-term EMA period for MACD sensitivity. - **MACD Slow Length**: Default 26 – The long-term EMA period for MACD calculation. - **MACD Signal Length**: Default 9 – The smoothing period for the signal line. - **Risk Per Trade (%)**: Default 3.0 – The percentage of your account balance risked per trade (e.g., 3% of 10000 = 300). - **Risk:Reward Ratio**: Default 3.0 – The ratio of potential profit to risk (e.g., 3:1 means risking 1 to gain 3). - **SL Multiplier**: Default 1.0 – Multiplies ATR to set the stop-loss distance (e.g., 1.0 x ATR). - **TP Multiplier**: Default 3.0 – Multiplies ATR to set the take-profit distance, adjusted by the risk:reward ratio. - **Line Length (bars)**: Default 25 – Duration in bars for displaying trade lines on the chart. - **Label Position**: Default 'left' – Position of text labels (left or right) relative to trade lines. - **ATR Period**: Default 14 – The number of periods for calculating ATR to measure volatility. #### How to Use 1. **Add to Chart**: Load the "MACD Strategy" as a strategy and the "MACD Indicator" as a separate indicator on your TradingView chart (recommended for BTCUSDT Futures on the 1-minute timeframe). 2. **Customize Settings**: Adjust the input parameters based on your risk tolerance and market conditions. For BTCUSDT Futures, consider reducing `Risk Per Trade (%)` during high volatility (e.g., 1%) or increasing `SL Multiplier` for wider stops. 3. **Visual Analysis**: Watch the main chart for trade entry lines (green for buy, red for sell), stop-loss (red), and take-profit (green) lines with labels. Use the MACD pane below to confirm momentum shifts. 4. **Set Alerts**: Create alerts in TradingView for "Buy Signal" and "Sell Signal" to automate trades via Bitget webhooks. 5. **Backtest and Optimize**: Test the strategy on historical BTCUSDT Futures 1-minute data to fine-tune parameters. The short timeframe requires quick execution, so monitor closely for slippage or latency. #### Tips for Success - **Market Conditions**: This strategy performs best in trending markets on the 1-minute timeframe. Avoid choppy conditions where MACD crossovers may produce false signals. - **Risk Management**: Start with the default 3% risk per trade and adjust downward (e.g., 1%) during volatile periods like BTCUSDT news events. The 3:1 risk:reward ratio targets consistent profitability. - **Timeframe**: Optimized for 1-minute charts; switch to 5-minute or 15-minute for less noise if needed. - **Confirmation**: Cross-check MACD signals with price action or support/resistance levels for higher accuracy on BTCUSDT Futures. #### Limitations - This strategy relies solely on MACD, so it may lag in fast-moving or sideways markets. Consider adding a secondary filter (e.g., RSI) if needed. - Stop-loss and take-profit are ATR-based and may need adjustment for BTCUSDT Futures’ high volatility, especially during leverage trading. #### Conclusion The "MACD Strategy" offers a simple yet effective way to trade momentum shifts using the MACD indicator, tested for BTCUSDT Futures on the 1-minute timeframe, with robust risk management and visual tools. Whether you’re scalping crypto futures or exploring short-term trends, this strategy provides a solid foundation for automated or manual trading. Share your feedback or customizations in the comments, and happy trading!
Strategia Pine Script®
di thetraderlodge
ETH/BTC/XRP Strategy - Powered by BCHETH/BTC/XRP Strategy — Cross-Asset Momentum-Based Strategy Overview This strategy aims to identify medium-term long trade opportunities on ETH/BTC/XRP 2 or 4 hour charts by leveraging cross-asset momentum signals from Bitcoin Cash (BCH) relative to Ethereum (ETH). It integrates volatility filters, volume validation, and momentum confirmations to improve trade timing and risk management. Key Features and Logic Cross-Asset Momentum Filter: Enters long trades when BCH outperforms ETH in the prior candle, supporting relative strength confirmation. Volume Confirmation: BCH volume must exceed 135% of its 20-period average, validating market interest before entry signals. Volatility Filter: ETH price near or below 110% of the lower Bollinger Band (20 periods, 2σ) indicates oversold conditions. Momentum Indicators: ETH RSI below 70 ensures the asset is not overbought, coupled with BCH MACD line crossing above its signal line for bullish bias. Risk Controls: Includes trailing stop losses and take profit targets to protect gains and limit drawdowns. Timing Constraints: Controlled cooldown periods between trades help prevent overtrading and false signals. Usage Recommendations Optimized for 2 or 4hour ETH/BTC/XRP USDT candles; 5-minute data optionally used for finer entries and exits. Suitable for traders seeking dynamic timing based on multi-asset interactions rather than blind holding. Works as a complement within diversified or rotational strategies focusing on Ethereum exposure. Performance Summary (Backtest Jan 2023 – Jul 2025) ; ETHUSDT 2hour basis. Total trades: 65 Win rate: 61.5% Profit factor: 5.1 Note: The sample size is limited; results should be interpreted with caution. Past performance is not indicative of future results. Important Notes This script represents an original combination of cross-asset momentum with volatility and volume filters tailored to ETH and BCH interaction. Source code is protected to safeguard unique implementation details while allowing free usage without restrictions. Use appropriate risk management, and consider these signals as part of a broader trading analysis. No guarantees on profitability; trading involves significant risk.
Strategia Pine Script®
di lsh9500
ValdesTradingBot BB %B / BBW (Long & Short)ValdesTradingBot BB %B / BBW (Long & Short) Overview ValdesTradingBot BB %B / BBW (Long & Short) is a volatility and trend-based strategy that uses Bollinger Bands (%B and Band Width) to detect potential re-entry signals in both directions. It is designed for cryptocurrency trading but can be applied to other markets as well. The strategy combines entry signals from band re-entries with optional filters for trend direction (EMA) and volatility (BBW). Once in a trade, it manages positions using multiple take-profit levels, trailing exits, and a configurable breakeven system. How it works Entry conditions (high-level): Long signals: Price re-enters from below the Bollinger Band or %B crosses upward. Short signals: Price re-enters from above the Bollinger Band or %B crosses downward. Filters: EMA filter: Optional, only takes longs above the EMA and shorts below. BBW filter: Optional, requires a minimum band width and can require expansion. Risk management & exits: Stop Loss: ATR-based initial stop. Breakeven: Optional; moves stop to entry once price has moved X% in favor (user-defined). Take Profits: Up to 4 fixed TP levels, each with configurable percentages of the position size. Trailing Stops: 2 trailing slices that lock in gains as price extends. Inputs & settings Bollinger Band Length & Multiplier – defines bands. EMA Trend Filter – on/off + EMA length. BBW Filter – on/off, min width, require rising. ATR Length & Multiplier – defines initial stop distance. TP1–TP4 % & Allocation – user can set levels and how much to close at each. TP5–TP6 Trailing % & Allocation – trailing stops and allocations. Breakeven Trigger % – percent move required to shift stop to entry. Cooldown bars – blocks instant re-entries after closing a trade. Recommended usage Best timeframe: 30-minute chart. Markets: Crypto pairs (BTC, ETH, majors); adaptable to Forex or stocks. Starting settings: EMA filter ON with EMA 200. BB Multiplier: 1.9–2.2. ATR Stop x: 5–8. Breakeven Trigger: 1–2%. BBW filter OFF (enable if too many signals). Alerts & automation The script includes alert conditions for: Enter Long Enter Short All Exited / Flat Alerts are provided with JSON payloads so they can be used in automation platforms (e.g., via webhooks). Configure on “Any alert() function call” or per-condition basis. Notes & disclaimer This is a strategy for research and educational purposes only. Results vary by market, timeframe, and settings — always forward-test before live trading. This does not guarantee profits and is not financial advice. Past performance is not indicative of future results.
Strategia Pine Script®
di ValdesTradingBot
HMK-2 | PCA-1 + Rejim + Chebyshev + VWAP (Input'lu, v6)📌 HMK-2 | PCA-1 + Regime + Chebyshev + VWAP Strategy 1️⃣ Core Structure Instead of relying on a single indicator, this system uses the Z-Score normalized average of three oscillators (RSI, MFI, ROC). Signal (PCA-1): RSI(14), MFI(14), ROC(5) → each is converted into a z-score. Their average becomes the “composite signal,” our PCA-1 value. Trend direction: If the Z-score EMA is rising → trend UP. If falling → trend DOWN. 2️⃣ Side Filters Regime Filter (ADX + EMA) ADX is calculated manually. If ADX > 20 → trend exists → a 50-period EMA of this value smooths it. This turns “trend regime” into a probability between 0–1. Chebyshev Filter A return series is checked against mean ± k*sigma bands. If the return is within this band → valid signal. Extreme moves are filtered out. VWAP Filter Long trades: price must be above VWAP. Short trades: price must be below VWAP. Trades are only taken on the correct side of institutional cost averages. 3️⃣ Entry Conditions Long: PCA-1 signal crosses above threshold. Trend Up + Regime OK + Chebyshev OK + Above VWAP. Short: PCA-1 signal crosses below threshold. Trend Down + Regime OK + Chebyshev OK + Below VWAP. 4️⃣ Exit Mechanism Main Exit: ATR-based stop/target. Stop = entry price – ATR × (SL factor). Take profit = entry price + ATR × (TP factor). Additional Exit: If price crosses to the opposite side of VWAP. If PCA-1 signal crosses zero. 👉 Prevents trades from being locked, makes exits adaptive. 5️⃣ Labels / Visualization AL / SHORT → entry points. SAT / COVER → exit points. VWAP line plotted in blue. 🧩 Strategy Features Optimizable parameters: Z-window (zWin) Threshold Chebyshev factor ATR stop/target multipliers This system works with: Disciplined core (PCA-1 signal) Triple protection (Regime + Chebyshev + VWAP) Adaptive exits (ATR + VWAP/signal cross) 👉 Not a “single-indicator robot,” but a multi-filtered trade direction engine. 💡 Final Note This is a base model of the system — open for further development. I’ve shared the logic to give you a roadmap. If you spot errors, fix them → that’s how you’ll improve it. Don’t waste time asking me questions — refine and build it better yourselves. Wishing you profitable trades. Stay well 🙏
Strategia Pine Script®
di Servet2662
Twin Range Filter StrategyClarity Over Confusion: See price action through a全新的 lens. Watch as erratic, choppy movements are smoothed into a clear, actionable trajectory. The path of least resistance becomes obvious. Confidence Over Hesitation: Receive high-probability entry and exit signals with a proven logic that waits for the market to commit before you do. No more second-guessing. Discipline Over Emotion: Our algorithm enforces a systematic approach, helping you avoid emotional FOMO chasing and panic selling. Stick to the plan and execute with precision. What Can You Expect? Dynamic Adaptability: Unlike static indicators, continuously adapts to volatility. It widens its filter in turbulent markets to avoid whipsaws and tightens it in trending markets to capture more of the move. The Power of Two: By synthesizing data from two distinct market perspectives, it confirms strength and filters out weakness, providing a confluence that standalone indicators simply cannot match. Clean, Unambiguous Signals: We’ve eliminated the clutter. The software provides clear visual alerts (Green Arrows for Long, Red Arrows for Short) right on your chart, telling you exactly when the equilibrium has shifted. Who is this for? Swing Traders looking to capture the heart of a trend and avoid false breakouts. Day Traders needing a reliable filter to navigate volatile intraday action. Systematic Traders seeking a robust logic layer to add to their automated strategy. Anyone overwhelmed by indicator overload and craving a single, trusted source of truth on their chart
Strategia Pine Script®
di mariadigo234233
Lunar calendar day Crypto Trading StrategyLunar calendar day Crypto Trading Strategy This strategy explores the potential impact of the lunar calendar on cryptocurrency price cycles. It implements a simple but unconventional rule: Buy on the 5th day of each lunar month Sell on the 26th day of the lunar month No trades between January 1 (solar) and Lunar New Year’s Day (holiday buffer period) Research background Several academic studies have investigated the influence of lunar cycles on financial markets. Their findings suggest: Returns tend to be higher around the full moon compared to the new moon. Periods between the full moon and the waning phase often show stronger average returns than the waxing phase. This strategy combines those observations into a practical implementation by testing fixed entry (lunar day 5) and exit (lunar day 26) points, while excluding the transition period from solar New Year to Lunar New Year, effectively capturing mid-month lunar effects. How it works The script includes a custom lunar date calculation function, reconstructing lunar months and days for each year (2020–2026). On lunar day 5, the strategy opens a long position with 100% of equity. On lunar day 26, the strategy closes the position. No trades are executed between Jan 1 and Lunar New Year’s Day. All trades include: Commission: 0.1% Slippage: 3 ticks Position sizing uses the entire equity (100%) for simplicity, but this is not recommended for live trading. Why this is original Unlike mashups of built-in indicators, this script: Implements a full lunar calendar system inside Pine Script. Translates academic findings on lunar effects into an applied backtest. Adds a realistic trading filter (holiday gap) based on cultural/seasonal calendar rules. Provides researchers and traders with a framework to explore non-traditional, time-based signals. Notes This is an experimental, research-oriented strategy, not financial advice. Results are highly dependent on the chosen period (2020–2026). Using 100% equity per trade is for simplification only and is not a viable money management practice. The purpose is to investigate whether cyclical patterns linked to lunar time can provide any statistical edge in ETHUSDT.
Strategia Pine Script®
di lsh9500
Script_Algo - ORB Strategy with Filters🔍 Core Concept: This strategy combines three powerful technical analysis tools: Range Breakout, the SuperTrend indicator, and a volume filter. Additionally, it features precise customization of the number of candles used to construct the breakout range, enabling optimized performance for specific assets. 🎯 How It Works: The strategy defines a trading range at the beginning of the trading session based on a selected number of candles. It waits for a breakout above the upper or below the lower boundary of this range, requiring a candle close. It filters signals using the SuperTrend indicator for trend confirmation. It utilizes trading volume to filter out false breakouts. ⚡ Strategy Features 📈 Entry Points: Long: Candle close above the upper range boundary + SuperTrend confirmation Short: Candle close below the lower range boundary + SuperTrend confirmation 🛡️ Risk Management: Stop-Loss: Set at the opposite range boundary. Take-Profit: Calculated based on a risk/reward ratio (3:1 by default). Position Size: 10 contracts (configurable). ⚠️ IMPORTANT SETTINGS 🕐 Time Parameters: Set the correct time and time zone! ❕ATTENTION: The strategy works ONLY with correct time settings! Set the time corresponding to your location and trading session. 📊 This strategy is optimized for trading TESLA stock! Parameters are tailored to TESLA's volatility, and trading volumes are adequate for signal filtering. Trading time corresponds to the American session. 📈 If you look at the backtesting results, you can see that the strategy could potentially have generated about 70 percent profit on Tesla stock over six months on 5m timeframe. However, this does not guarantee that results will be repeated in the future; remain vigilant. ⚠️ For other assets, the following is required: Testing and parameter optimization Adjustment of time intervals and the number of candles forming the range Calibration of stop-loss and take-profit levels ⚠️ Limitations and Drawbacks 🔗 Automation Constraints: ❌ Cannot be directly connected via Webhook to CFD brokers! Additional IT solutions are required for automation, thus only manual trading based on signals is possible. 📉 Risk Management: Do not risk more than 2-3% of your account per trade. Test on historical data before live use. Start with a demo account. 💪 Strategy Advantages ✅ Combined approach – multiple signal filters ✅ Clear entry and exit rules ✅ Visual signals on the chart ✅ Volume-based false breakout filtering ✅ Automatic position management 🎯 Usage Recommendations Always test the strategy on historical data. Start with small trading volumes. Ensure time settings are correct. Adapt parameters to current market volatility. Use only for stocks – futures and Forex require adaptation. 📚 Suitable Timeframes - M1-M15 Only highly liquid stocks 🍀 I wish all subscribers good luck in trading and steady profits! 📈 May your charts move in the right direction! ⚠️ Remember: Trading involves risk. Do not invest money you cannot afford to lose!
Strategia Pine Script®
di Script_Algo
Fundamental Strategy - anuragmundraFundamental Score Based Backtest This strategy combines fundamental analysis with automated backtesting to help identify long-term investment opportunities. Instead of relying only on price action or technical indicators, it evaluates the financial health of a company and generates simulated BUY/SELL signals accordingly. 🔑 Key Parameters Considered: Price-to-Earnings (P/E Ratio): Ensures the stock is not overpriced. Return on Equity (ROE): Indicates efficiency of management and business profitability. Debt-to-Equity Ratio (D/E): Evaluates leverage and financial risk. Revenue Growth (YoY): Shows business expansion and demand. EPS Growth: Reflects consistent profit generation for shareholders. Sales Growth: Confirms topline improvement. Profit Growth: Measures bottom-line strength. ✅ Buy Condition When the fundamental score ≥ 70/100, the strategy enters a long position. Score is based on meeting/exceeding thresholds for P/E, ROE, Revenue Growth, EPS Growth, Sales Growth, Profit Growth, and Debt-to-Equity. ❌ Sell/Exit Condition When the score falls below 70, the position is closed. ⚡ How to Use Designed for medium to long-term investors who prefer fundamentally strong companies. Can be run in the Strategy Tester to evaluate the historical performance of any stock. Suitable as a stock-picking filter rather than a short-term trading system. 📊 Notes Some ratios (like ROE) are based on annual values (FY), while others (EPS, Revenue, Net Income) use TTM for recency. Not all symbols/exchanges provide full fundamental data. If data is missing, some metrics may show as N/A. ⚠️ Disclaimer: This is an educational tool for research and backtesting only. It is not financial advice. Always combine with your own due diligence before making investment decisions.
Strategia Pine Script®
di anuragmundra
Script_Algo - High Low Range MA Crossover Strategy🎯 Core Concept This strategy uses modified moving averages crossover, built on maximum and minimum prices, to determine entry and exit points in the market. A key advantage of this strategy is that it avoids most false signals in trendless conditions, which is characteristic of traditional moving average crossover strategies. This makes it possible to improve the risk/reward ratio and, consequently, the strategy's profitability. 📊 How the Strategy Works Main Mechanism The strategy builds 4 moving averages: Two senior MAs (on high and low) with a longer period Two junior MAs (on high and low) with a shorter period Buy signal 🟢: when the junior MA of lows crosses above the senior MA of highs Sell signal 🔴: when the junior MA of highs crosses below the senior MA of lows As seen on the chart, it was potentially possible to make 9X on the WIFUSDT cryptocurrency pair in just a year and a half. However, be careful—such results may not necessarily be repeated in the future. Special Feature Position closing priority ❗: if an opposite signal arrives while a position is open, the strategy first closes the current position and only then opens a new one ⚙️ Indicator Settings Available Moving Average Types EMA - Exponential MA SMA - Simple MA SSMA - Smoothed MA WMA - Weighted MA VWMA - Volume Weighted MA RMA - Adaptive MA DEMA - Double EMA TEMA - Triple EMA Adjustable Parameters Senior MA Length - period for long-term moving averages Junior MA Length - period for short-term moving averages ✅ Advantages of the Strategy 🛡️ False Signal Protection - using two pairs of modified MAs reduces the number of false entries 🔄 Configuration Flexibility - ability to choose MA type and calculation periods ⚡ Automatic Switching - the strategy automatically closes the current position when receiving an opposite signal 📈 Visual Clarity - all MAs are displayed on the chart in different colors ⚠️ Disadvantages and Risks 📉 Signal Lag - like all MA-based strategies, it may provide delayed signals during sharp movements 🔁 Frequent Switching - in sideways markets, it may lead to multiple consecutive position openings/closings 📊 Requires Optimization - optimal parameters need to be selected for different instruments and timeframes 💡 Usage Recommendations Backtest - test the strategy's performance on historical data Optimize Parameters - select MA periods suitable for the specific trading instrument Use Filters - add additional filters to confirm signals Manage Risks - always use stop-loss and take-profit orders. You can safely connect to the exchange via webhook and enjoy trading. Good luck and profits to everyone!!
Strategia Pine Script®
di Script_Algo
RangeSuper Pro – Vivid Violet & Electric Style 🚀RangeSuper Pro – Electric Style RangeSuper VIOLET – Advanced Trend & Range Filter Strategy for TradingView The RangeSuper VIOLET indicator combines a modern range filter and SuperTrendlogic, visually enhanced with vivid green and violet bands for clear trend identification. This tool is designed for active traders who want to capture both breakout and trend-following opportunities on indices like NIFTY. Features: • Detects high-probability LONG and SHORT setups with color-coded bands. • “BIG TARGET” labels highlight major combined signals; small labels mark scalp entries. • Adaptive bands change color with market conditions (green for bullish, violet for bearish). • Built-in scalp strategy with automatic TP/SL (Take Profit/Stop Loss) management. • Comprehensive performance stats, including profit factor, equity curve, and drawdown, are available via the TradingView strategy tester. How to Use: Use on 15-minute or higher timeframes for best results. Follow the visual signals and labels for potential trade entries and exits. Review performance and trade analysis in the built-in strategy tester. For access or questions, request an invite or contact the developer directly. Unlock smarter trend trading with RangeSuper VIOLET! 📌 **Important Notes:** - 🟢 Signals are real-time & backtest-matching (normal 1–2 pt slippage can occur its normal ) - 🧪 This tool has been **extensively tested**, and results shown are from actual backtests on TradingView 🔒 Access is invite-only for quality control ⚠️ Disclaimer: Shared for learning and research purposes only. Not financial advice. Past educational results don't guarantee future outcomes. Trading involves risk of loss. We are not SEBI registered.
Strategia Pine Script®
di pharsha8676