PPonBIN

📌 Strategy Overview This is, by far, the simplest indicator-based entry strategy I’ve come across—and surprisingly, it's also one of the most effective for me. The chart and accompanying Pine Script are purely for demonstration, showcasing what is possible rather than everything required for success. ⚠️ Important Note: The version shown on TradingView is just a small part of what makes this strategy profitable for me. Don’t be misled by the profit ratio —drawdowns are inevitable, and there’s much more going on behind the scenes in the Python version. 🧠 What the Pine Script Does This TradingView Pine Script defines a long-only strategy that operates exclusively between April 11, 2025, and January 1, 2026. It uses: RSI Stochastic RSI (%K & %D) Customizable EMA crossover Buy Signal: Occurs when the smoothed StochRSI %K line crosses above a user-defined lower threshold and a short-term EMA is above the long-term EMA—indicating bullish momentum. Sell Signal: A take-profit exit occurs once a profit target is hit based on the current market price. A stop-loss is triggered if the %K line crosses below the %D line—signaling weakening momentum. Additionally, a hard stop-loss is built in as a safety net in case indicator logic fails. 🔧 How I Use This Strategy in Real-Time (Python + Binance API) Backtesting Engine (Every 12 Hours) Runs 100,000+ randomized combinations of strategy parameters on the past 12 hours of data. Fine-tunes the top-performing set with another 10,000 passes. Automatically updates the real-time trading config with optimized values. Real-Time Trading Engine Pulls fresh data at startup to calculate indicators. Switches to WebSocket to aggregate 1m candles into 15m (optionally 10s, 20s, or 30s resolution—beware of API limits). Uses manual indicator logic (sorry, secret sauce) with help from: pandas for data manipulation numpy for math ops requests for resilient API handling Only python-binance for API—Binance changes their endpoints too often to rely on anything else. Candle Syncing I only trade with candles aligned to Binance’s 15-minute intervals. My preferred timeframe is 15m to 4h—I avoid higher timeframes like weekly/monthly due to increased exposure to smarter bots, institutional manipulation, and emotional retail traders. Order Execution Logic Entry size = average of top 3 sell orders (never more than 5% of that total). Backtesting decides whether to enter via MA2, MA3, market price, or slightly above average bid. All exits are via Market Order for speed. No Indicator-Based Exits Profit-taking exits are determined by inspecting the live order book and price action for buy/sell walls. Indicators are too slow for this. Mindset & Manual Oversight Avoiding greed is the hardest part—it often leads to panic buys/sells and overconfidence. Stay humble, inspect live charts manually, and be ready to pause the script if candle patterns look suspicious or bot-like. I’ve completely abandoned using webhooks or Power Automate flows for TradingView alerts—they’re too slow. ⚠️ IMPORTANT If you’re a coder (or know one), you can convert this Pine Script into Python. But I strongly discourage going live and I not responsible if you choose to do so. For me trading is never set-and-forget.

Folks, I have been toying with this idea for the past week. I use it to send alerts to a secondary dedicated GMAIL address, I then use Python to connect to the account using an APP password. It fetches alerts, and then submits buy sell orders using Binance API. Sharing it as keen to hear your feedback and welcome enhancement ideas. I hope you find it useful :) Configuration Inputs Entry and Exit Pivot Lengths: Defines the number of bars used to calculate low pivots for buy signals and high pivots for sell signals. The flexibility in defining different lengths for entry and exit allows the strategy to adapt to varying market conditions. Volatility Factor: Modulates the atr (average true range) to scale the offset for labels, enhancing visual clarity based on market volatility. RSI Confirmation for Buy: Incorporates an RSI filter to confirm buy signals, aiming to avoid potential false entries during oversold market conditions. Trend EMA Length: Establishes a long-term exponential moving average (EMA) to identify the overall market trend, filtering trades to occur only in favorable conditions (uptrend). Logic and Conditions Pivot Calculation: Uses pivot points to determine potential entry and exit positions. Entry pivots are based on lows (for buying opportunities) and exit pivots on highs (for selling opportunities). Uptrend Confirmation: Trades are only executed when the price is above the defined EMA, ensuring that trades are aligned with the primary market trend. Signal Conditions: Buy Signal: A buy signal is triggered when the price crosses above an identified entry pivot, the market is in an uptrend, and optionally if the RSI is below a defined oversold threshold, ensuring the entry is at a potentially undervalued point. Sell Signal: A sell signal is triggered either when the price crosses above an exit pivot or falls below the EMA trend line, indicating a potential peak or a weakening trend. Visualization and Alerts Plot Lines and Labels: Plots the entry and exit pivot lines and the EMA trend line with distinct colors for clarity. Labels are dynamically placed to indicate buy and sell points with details on entry price and profit percentage. Alerts: Configured to send notifications for buy and sell triggers, providing timely trade information. This strategy provides a robust framework for traders looking for systematic entry and exit points based on technical indicators, adjusted for volatility and trend, with additional confirmation from the RSI to enhance trade accuracy and effectiveness.

This indicator is designed for traders seeking refined entry and exit signals based on precise EMA crossovers. By leveraging dynamically calculated average high and low thresholds over a customizable lookback period, this tool enhances decision-making by filtering out noise and providing clear, actionable signals. Key Features: Dynamic Thresholds: Calculates average high and low values over a specified number of candles, ensuring adaptability to market conditions. Refined Signal Logic: Generates buy signals when the EMA crosses above the average low, and sell signals when the EMA crosses above the average high or drops below the average low. This ensures logical progression and avoids redundant signals. Customizable Settings: Lookback period for high-low averages. EMA period for precise crossover calculation. Signal appearance: Choose between arrows or labels for better chart visibility. Adjustable signal colors to match your preferences. Alerts: Set alerts for buy and sell signals, enabling you to stay updated in real-time. How It Works: The indicator calculates average high and low prices over a user-defined number of candles. An EMA is plotted based on the closing price and your selected period. Buy and sell signals are triggered based on how the EMA interacts with the dynamic high and low levels: Buy: EMA crosses above the average low and no active buy signal exists. Sell: EMA crosses above the average high or below the average low after a buy signal. Visual Guidance: Plots the average high (red), average low (green), and the EMA line (blue) for clear visualization of key levels and price interactions. Signal markers are plotted directly on the chart for quick identification of potential trades. Use this indicator to enhance your trading strategy, reduce noise, and focus on high-probability setups.

This indicator is specifically designed for backtesting and forward testing on TradingView, helping traders analyze market trends and test strategies effectively. By combining dynamic trend analysis with advanced filtering mechanisms, it offers reliable and actionable signals while eliminating redundant or misleading alerts. The tool is tailored for adaptive performance across different market conditions, ensuring a seamless experience for trend analysis and strategy evaluation. Key Features: 1. Dynamic Moving Average (Dynamic EMA): A moving average that adjusts its length dynamically based on normalized price changes and acceleration factors. Provides enhanced sensitivity during volatile conditions and stability during slower markets. 2. Trend Speed Histogram: Displays the difference between the current price and a long-term moving average (trend speed). Color-coded visualization: Green: Indicates upward momentum. Red: Indicates downward momentum. 3. Sideways Market Filter: Integrates the Average Directional Index (ADX) and price range filters to detect trending conditions. Filters out signals in sideways or choppy market conditions for better accuracy. 4. Advanced Signal Filtering: Generates buy and sell signals only when specific conditions are met: The market is trending. The price is sufficiently distant from the dynamic EMA (to avoid false signals near the mean). The trend speed changes direction (visible in the histogram's color change). Ensures no duplicate signals are generated, reducing clutter and increasing reliability. 5. Customizable Signal Visualization: Offers flexibility in how buy and sell signals are displayed: Choose between arrows or labels for visual clarity. Fully configurable colors for histogram, signals, and trendline to match your preference. 6. Enhanced User Inputs: Adjustable parameters for precise control over trend and range filtering: ATR length for volatility assessment. ADX thresholds for trend strength detection. Fine-tune the responsiveness of the dynamic EMA with customizable length and acceleration multiplier settings. Use Cases: Backtesting Strategies: Evaluate historical performance of trading strategies under varying market conditions. Forward Testing: Monitor real-time market conditions and validate trading hypotheses. Trend Analysis: Identify and confirm trends with advanced filtering to minimize noise. Signal Optimization: Reduce false signals and focus on high-probability trades by leveraging enhanced filters.

RSI EMA VWMA Long-Only Trading Strategy This script is a fully adjustable long-only trading strategy designed to help traders identify profitable entry and exit points based on the Relative Strength Index (RSI), Exponential Moving Average (EMA), and Volume Weighted Moving Average (VWMA). The strategy is straightforward, yet powerful, combining trend-following and momentum-based indicators for enhanced decision-making. How It Works Entry Criteria (Buy Signal): A long trade is triggered when the RSI crosses above the lower threshold (e.g., 39) while the EMA is trading above the VWMA. This combination ensures that trades are initiated in favorable momentum and trend conditions. Exit Criteria (Sell Signal): Profit Target: The strategy automatically exits a trade once the price increases by the user-defined profit target percentage (e.g., 0.74%). Stop Loss (Optional): To limit risk, the strategy includes an optional stop loss feature (e.g., 3%). RSI Exit: Additionally, the trade is closed if the RSI crosses above the upper threshold (e.g., 78), indicating overbought conditions or reduced momentum. Key Features Indicator-Based Entries and Exits: Combines RSI (momentum), EMA (trend-following), and VWMA (volume-weighted trend) for highly effective signal generation. Fully Adjustable Parameters: RSI Period: Number of periods for RSI calculation (default: 6). Lower RSI Threshold: Determines when a buy signal is triggered (default: 39). Upper RSI Threshold: Determines when a trade is exited due to overbought conditions (default: 78). EMA Period: Number of periods for the EMA calculation (default: 8). VWMA Period: Number of periods for the VWMA calculation (default: 35). Profit Target (%): User-defined profit target to automatically exit trades (default: 0.74%). Stop Loss (%): Optional feature to exit trades when the price moves against the position by a certain percentage (default: 3%). Visualizations: Plots RSI values and threshold lines for easy interpretation. Displays EMA and VWMA trends for visual confirmation of the trend-following logic. Highlights buy signals with green triangles below the bars on the chart. Alerts: Built-in alerts for buy signals, making it suitable for webhook integrations or notifications. Use Cases Scalpers and Day Traders: This strategy is ideal for short-term traders who need precise entry and exit signals. Trend-Following Traders: By combining EMA and VWMA, the strategy ensures trades align with the prevailing market trend. Risk-Averse Traders: The inclusion of a stop loss and profit target allows for disciplined risk management and consistent results. Tips for Optimization Backtesting: Use TradingView’s Strategy Tester to evaluate performance across different timeframes and assets. Optimize parameters like RSI thresholds, EMA/VWMA periods, and profit targets to match your trading style and market conditions. Pair Selection: The strategy works best on trending assets with good volatility and liquidity. Risk Management: Ensure the stop loss and position sizing align with your overall risk tolerance. Paper Trading: Before live trading, test the strategy in a simulated environment to confirm its effectiveness. Disclaimer This strategy is shared for educational purposes and should not be considered financial advice. Always backtest thoroughly and trade with caution. Past performance does not guarantee future results. Adjust the parameters to suit your trading preferences and risk tolerance.

Strategy Explanation: Indicators: RSI (Relative Strength Index): The RSI is set to a period of 8 with thresholds for overbought and oversold levels. Buy signals occur when the RSI crosses above the lower threshold (33), indicating a potential oversold condition. Sell signals occur when RSI crosses below the upper threshold (63), signaling potential overbought conditions. Lower RSI Threshold (33): Represents the oversold level, triggering buy signals. Upper RSI Threshold (63): Represents the overbought level, triggering sell signals. EMA (Exponential Moving Average): The EMA is calculated over 9 periods, and it's used in conjunction with the VWMA to identify trend direction. Buy signals occur when the price is above the VWMA, signaling an uptrend. VWMA (Volume Weighted Moving Average): The VWMA is calculated over 20 periods and takes into account the volume. If the 9-period EMA is above the VWMA, this confirms a bullish trend, helping to filter buy signals. Signal Strategy: Buy Signal (Long Only): A buy signal is triggered when the RSI crosses above the lower threshold (33) and the 9-period EMA is greater than the VWMA. This suggests that the market is gaining bullish momentum, and a long position is opened. Exit Signals: Take Profit: A profit target is set at 0.5% above the entry price. Stop Loss: A stop loss is placed at 0.3% below the entry price to protect against large losses. Manual Sell: If the RSI crosses below the upper threshold (63) and the EMA falls below the VWMA, it triggers a manual sell to exit the position. Automated Execution with Power Automate & Python: Alert Capture with Power Automate: I have configured Power Automate to capture the toast notifications from TradingView’s desktop app. These notifications correspond to buy, sell, take-profit, and stop-loss alerts triggered by the TradingView strategy. Power Automate then converts these alerts into text and logs them into a file. Python Script to Execute Orders: The Python script continuously monitors the log file for updates. When a new entry (alert) is detected, the script parses the text to check whether it’s a buy or sell signal. Depending on the signal, the Python script connects to Binance’s API and places the corresponding buy or sell order. This automated process ensures timely trade execution without manual intervention, keeping the trades aligned with the TradingView strategy.

This strategy combines the Relative Strength Index (RSI), Exponential Moving Average (EMA), and Volume Weighted Moving Average (VWMA) to create buy and sell signals, along with a profit target, for cryptocurrency trading. It is specifically designed for use with Cryptohopper through webhook alerts. How It Works: Buy Signal: A buy signal is triggered when the RSI crosses above the lower threshold (user-defined) and the 9-period EMA is above the 20-period VWMA. Sell Signal: A sell signal is triggered when the RSI crosses below the upper threshold (user-defined). Profit Target: Once a position is opened, the strategy sets a profit target based on the user-defined percentage. When the target is reached, the position is closed. Indicators Used: RSI (Relative Strength Index): A momentum oscillator measuring the speed and change of price movements. EMA (Exponential Moving Average - 9 period): A moving average that gives more weight to recent price data. VWMA (Volume Weighted Moving Average - 20 period): A moving average that takes volume into account, giving more weight to periods with higher trading volume. Features: Generates buy and sell signals based on RSI and moving average conditions. Allows users to set a profit target percentage for each trade. Alerts can be sent via webhooks to integrate with platforms like Cryptohopper to automate trading. Alerts are provided for buy, sell, and when the profit target is reached. How to Set Up Alerts for Webhooks: Apply this script to your TradingView chart. Set up alerts for the buy and sell conditions. Enter your Cryptohopper webhook URL in the alert configuration to automate trade execution. Disclaimer: This strategy is for educational purposes only and should not be considered financial advice. Trading cryptocurrencies involves a high level of risk, and users should do their own research or consult a financial advisor before making any investment decisions.

In this TradingView idea, I introduce a robust buy and sell strategy that emphasizes strict exit rules and enhanced signal filtering to improve trading performance. The strategy is designed to prevent consecutive identical signals, ensuring that a new buy signal won't occur if the last signal was a buy, and similarly for sell signals. This approach helps in reducing false entries and overtrading, especially in volatile market conditions. Key Features: Heikin Ashi Candles Conversion: Smooths out price fluctuations to better identify true market trends. Trend Identification: Utilizes short-term (SMA 18) and long-term (SMA 100) Simple Moving Averages to determine market direction. A buy signal is considered only when the SMA 18 is above the SMA 100 and the price is above the SMA 100. Momentum Confirmation: Confirms momentum over a customizable lookback period to ensure alignment with the prevailing trend. Volatility and Volume Filters: Incorporates Average True Range (ATR) and volume-based filters to avoid low-volatility and low-volume trading periods. Enhances the reliability of signals by ensuring sufficient market activity. Doji Candlestick Avoidance: Filters out potential reversal points by avoiding entries on Doji candles, which indicate market indecision. Strict Signal Rules: Implements a check to prevent generating a buy signal if the last signal was also a buy, and vice versa for sell signals. Introduces a minimum bar gap between signals to prevent rapid re-entry after an exit. Risk Management: Sets take-profit levels and trailing stop losses based on ATR to protect gains and limit potential losses. Adjusts the trailing stop dynamically as the trade progresses. Visual Aids: Plots important levels and signals directly on the chart, including moving averages, take-profit levels, and trailing stops. Labels buy and sell points for easy reference. How to Use This Strategy: Entry Criteria: Look for buy signals when all conditions are met, including trend alignment, momentum confirmation, volatility and volume thresholds, and absence of Doji candles. Ensure that the last signal was not a buy to prevent consecutive buy entries. Exit Criteria: The strategy exits trades when the price reaches the take-profit level or hits the trailing stop loss. Prevents consecutive sell signals to avoid over-exiting in fluctuating markets. Customization: While the parameters are fixed for this strategy, traders can adjust the lookback periods, ATR multipliers, and SMA lengths to suit different trading instruments or time frames. Benefits: Reduces Overtrading: By filtering out consecutive identical signals and enforcing a minimum bar gap, the strategy helps prevent overtrading. Enhances Signal Quality: Multiple filters work together to improve the accuracy of buy and sell signals. Adaptable to Different Markets: Suitable for various financial instruments, including stocks, forex, and commodities. Conclusion: This strategy offers a disciplined approach to trading by combining trend-following techniques with strict entry and exit rules. By preventing consecutive identical signals and incorporating multiple filters, it aims to enhance trading performance and reduce the impact of market noise.

This strategy is designed to leverage the power of EMA crossovers on 30-minute candle data, providing a clear and concise method for entering and exiting trades. The strategy uses three key EMAs: EMA 93: A short-term EMA, acting as the fast-moving average. EMA 700: A long-term EMA, serving as the slow-moving average. Exit EMA 4: A rapid-response EMA for precise trade exits. Entry Signal: The strategy triggers a buy when the EMA 93 crosses above the EMA 700 on 30-minute candles. This indicates a potential upward trend, providing a strong signal to enter a long position. Exit Signal: The trade is closed when the Exit EMA 4 crosses below either the EMA 93 or EMA 700, capturing profits or minimizing losses by exiting before a potential reversal. This strategy is perfect for traders looking to capitalize on medium-term trends with clear entry and exit points, optimized for backtesting on 30-minute candle data. Test it out to see how this setup performs across different market conditions!

Overview The "EMA 8 and VWAP Strategy" is designed to identify optimal entry and exit points in a trending market. This strategy leverages the synergy of two Exponential Moving Averages (EMA) and the Volume Weighted Average Price (VWAP) to provide clear buy and sell signals. Strategy Logic Indicators Used: EMA 8: A short-term moving average that reacts quickly to price changes. EMA 16: A medium-term moving average that provides a smoother trend line. VWAP: A volume-based price indicator that represents the average price a security has traded at throughout the day, based on both volume and price. Entry Condition: Buy Signal: When EMA 8 crosses above the VWAP, it signals a potential uptrend. This crossover indicates a bullish momentum, suggesting a buy entry. Exit Conditions: Sell Signal 1: When EMA 8 crosses below EMA 16, it signals a potential downtrend or weakening of the uptrend, suggesting a sell. Sell Signal 2: When EMA 8 crosses below the VWAP, it indicates bearish momentum, suggesting an exit if a position is open. Visual Aids: Green "BUY" labels below the bars indicate buy signals. Red "SELL EMA 16" labels above the bars indicate sell signals based on the EMA crossover. Orange "SELL VWAP" labels above the bars indicate sell signals based on the VWAP crossover. Performance Summary