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AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins. This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend. Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy. It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model. ✅ Why did I choose OTHERS.D and MEME.D as reference indices? I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins. 🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap. This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins. 🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins. A rising OTHERS.D often signals the start of broader altcoin rallies. 🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity. It's perfect for timing momentum shifts in high-risk, high-reward tokens. By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior. 📐 How It Works — Core Logic and Execution Model At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index. A trade is only executed when both EMA crossovers agree on the direction. For example: Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy. Additionally, the strategy includes: - Adaptive position sizing, based on fixed capital or current equity (compound mode) - Take Profit and Stop Loss in percentage terms - Smart partial exits when trend momentum fades - Date filtering for precise backtesting over specific timeframes - Real-time performance stats, equity tracking, and visual cues on chart ⚙️ Parameters & Customization 🔁 EMA Settings Each EMA pair is customizable: Coin Fast EMA: Default = 47 Coin Slow EMA: Default = 50 Index Fast EMA: Default = 47 Index Slow EMA: Default = 50 These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive. 🧭 Index Reference The correlation mechanism uses CryptoCap sector dominance indexes: OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones MEME.D: Dominance of all Meme coins These are dynamically calculated using: OTHERS_D = OTHERS_cap / TOTAL_cap * 100 MEME_D = MEME_cap / TOTAL_cap * 100 You can select: Reference Index: OTHERS.D or MEME.D Or disable the index reference completely (Don't Use Index Reference) 💰 Position Sizing & Risk Management Two capital allocation models are supported: - Fixed % of initial capital (default) - Compound profits, which scales positions as equity grows Settings: - Compound profits?: true/false - % of equity: Between 1% and 200% (default = 10%) This is critical for users who want to balance growth with risk. 🎯 Take Profit / Stop Loss Customizable thresholds determine automatic exits: - TakeProfit: Default = 99999 (disabled) - StopLoss: Default = 5 (%) These exits are percentage-based and operate off the entry price vs. current close. 📉 Trend Weakening Exit (Scale Out) If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position: - Scale Position on Weak Trend?: true/false - Scaled Percentage: % to close (default = 65%) This feature is useful for preserving profits without exiting completely. 📆 Date Filter Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets): - Filter Date Range of Backtest: ON/OFF - Start Date and End Date: Custom time range OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab): - Initial Capital is set to 100 USD - Commission is set to 0.055% (The ones I have on Bybit) - Slippage is set to 3 ticks - Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation 📊 Visual Feedback and Debug Tools 📈 EMA Trend Visualization The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend: Lime: Coin and index both bullish Teal: Only coin bullish Maroon: Only index bullish Red: Both bearish This allows for immediate visual confirmation of current trend strength. 💬 Real-Time PnL Labels When a trade closes, a label shows: Previous trade return in % (first value is the effective PL) Green background for profit, Red for losses. 📑 Summary Table Overlay This table appears in a corner of the chart (user-defined) and shows live performance data including: Trade direction (yellow long, purple short) Emojis: 💚 for current profit, 😡 for current loss Total number of trades Win rate Max drawdown Duration in days Current trade profit/loss (absolute and %) Cumulative PnL (absolute and %) APR (Annualized Percentage Return) Each metric is color-coded: Green for strong results Yellow/orange for average Red/maroon for poor performance You can select where this appears: Top Left Top Right Bottom Left Bottom Right (default) 📚 Interpretation of Key Metrics Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”) Net Profit: Total gains including open positions Max Drawdown: Largest peak-to-valley drop in strategy equity APR: Annualized return calculated based on equity growth and days elapsed Win Rate: % of profitable trades PnL %: Percentage profit on the most recent trade 🧠 Advanced Logic & Safety Features 🛑 “Don’t Re-Enter” Filter If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets. 🧷 Equity Protection No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical. Keep in mind that past results in no way guarantee future performance. Eddie Bitcoin
Pine Script® strategy
by Eddie_Bitcoin
Trading Advice By RajTrading Advice Strategy This strategy is based on a simple moving average crossover system using the 50 EMA and the 200 EMA. Buy Signal (Long): When the 50 EMA crosses above the 200 EMA, a bullish trend is detected and a BUY signal is generated. Sell Signal (Short): When the 200 EMA crosses above the 50 EMA, a bearish trend is detected and a SELL signal is generated. EMA lines are hidden on the chart for a clean look. Only BUY and SELL signals are shown as labels. Suitable for trend-following traders who want clear entry signals without noise. Can be combined with risk management tools like Stop Loss & Take Profit for better results. youtube.com BINANCE:BTCUSDT
Pine Script® strategy
by Theraj333
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!
Pine Script® strategy
by 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.
Pine Script® strategy
by 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.
Pine Script® strategy
by 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 🙏
Pine Script® strategy
by 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
Pine Script® strategy
by 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.
Pine Script® strategy
by 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!
Pine Script® strategy
by 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.
Pine Script® strategy
by anuragmundra