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The Crypto Wizard# The Crypto Wizard (Cwiz) ## Advanced Trading Framework for Cryptocurrency Markets ! (placeholder.com) The Crypto Wizard (Cwiz) offers a customizable, robust trading framework designed specifically for cryptocurrency market volatility. This open-source foundation provides essential components for building profitable automated trading strategies. ### Key Performance Indicators | Metric | Value | |--------|-------| | Profit Factor | 1.992 | | Sortino Ratio | 5.589 | | Win Rate | ~40% | | Max Drawdown | 15.82% | ### Core Features - **Position Scaling System**: Intelligent position sizing with customizable multipliers and risk controls - **Multi-layered Exit Strategy**: Combined take-profit, fixed stop-loss, and trailing stop mechanisms - **Customizable Entry Framework**: Easily integrate your own entry signals and conditions - **Comprehensive Visualization Tools**: Real-time performance tracking with position labels and indicators ### Setup Instructions ```pine PHEMEX:FARTCOINUSDT.P // 1. Add to your chart and configure basic parameters // 2. Adjust risk parameters based on your risk tolerance // 3. Customize entry conditions or use defaults // 4. Back-test across various market conditions // 5. Enable live trading with careful monitoring ``` ### Risk Management Cwiz implements a sophisticated risk management system with: - Automatic position size scaling - User-defined maximum consecutive trades - ATR-based dynamic stop loss placement - Built-in circuit breakers for extreme market conditions ### Customization Options The framework is designed for flexibility without compromising core functionality. Key customization points: - Entry signal generation - Position sizing parameters - Stop loss and take profit multipliers - Visualization preferences ### Recommended Usage Best suited for volatile cryptocurrency markets with sufficient liquidity. Performs optimally in trending conditions but includes mechanisms to manage ranging markets. --- *Disclaimer: Trading involves significant risk. Past performance is not indicative of future results. Always test thoroughly before live deployment.*
Pine Script® strategy
oleh Xro_
Qullamaggie [Modified] | FractalystWhat's the purpose of this strategy? The strategy aims to identify high-probability breakout setups in trending markets, inspired by Kristjan "Qullamaggie" Kullamägi’s approach. It focuses on capturing explosive price moves after periods of consolidation, using technical criteria like moving averages, breakouts, trailing stop-loss and momentum confirmation. Ideal for swing traders seeking to ride strong trends while managing risk. ---- How does the strategy work? The strategy follows a systematic process to capture high-momentum breakouts: Pre-Breakout Criteria: Prior Price Surge: Identifies stocks that have rallied 30-100%+ in recent month(s), signaling strong underlying momentum (per Qullamaggie’s volatility expansion principles). Consolidation Phase: Looks for a tightening price range (e.g., flag, pennant, or tight base), indicating a potential "coiling" before continuation. Trend Confirmation: Uses moving averages (e.g., 20/50/200 EMA) to ensure the stock is trading above key averages on the daily chart, confirming an uptrend. Price Break: Enters when price clears the consolidation high with conviction. Risk Management: Initial Stop Loss: Placed below the consolidation low or a recent swing point to limit downside. Break-Even Adjustment: Moves stop loss to breakeven once the trade reaches 1.5x risk-to-reward (RR), securing a "free trade" while letting winners run. Trailing Stop (Unique Edge): Market Structure Trailing: Instead of trailing via moving averages, the stop is dynamically adjusted using structural invalidation level. This adapts to price action, allowing the trade to stay open during volatile retracements while locking in gains as new structure forms. Why This Matters: Most strategies use rigid trailing stops (e.g., below the 10EMA), which often exit prematurely in choppy markets. By trailing based on structure, this strategy avoids "noise" and captures larger trends, directly boosting overall returns. ---- What markets or timeframes is this suited for? This is a long-only strategy designed for trending markets, and it performs best in: Markets: Stocks (especially high-growth, liquid equities), cryptocurrencies (major pairs with strong volatility), commodities (e.g., oil, gold), and futures (index/commodity futures). Timeframes: Primarily daily charts for swing trades (1-30 day holds), though weekly charts can help confirm broader trends. Key Advantage: The TradingView script allows instant backtesting with adjustable parameters You can: - Test historical performance across multiple markets to identify which assets align best with the strategy. - Optimize settings (e.g., trailing stop sensitivity, moving averages etc.) to match a market’s volatility profile. Build a diversified portfolio by filtering for markets that show consistent profitability in backtests. For example, you might discover cryptos require tighter trailing stops due to volatility, while stocks thrive with wider structural stops. The script automates this analysis, letting you to trade confidently. ---- What indicators or tools does the strategy use? The strategy combines customizable technical tools with strict anti-lookahead safeguards: Core Indicators: Moving Averages: Adjustable periods (e.g., 20/50/200 EMA or SMA) and timeframes (daily/weekly) to confirm trend alignment. Users can test combinations (e.g., 10EMA vs. 20EMA) to optimize for specific markets. Breakout Parameters: Consolidation Length: Adjustable window to define the "tightness" of the pre-breakout pattern. Entry Models: Flexible entry logics (Breakouts and fractals) Anti-Lookahead Design: All calculations (e.g., moving averages, consolidation ranges, volume averages) use only closed/confirmed data available at the time of the signal. ---- How do I manage risk with this strategy? The strategy prioritizes customizable risk controls to align with your trading style and account size: User-Defined Risk Inputs: Risk Per Trade: Set a % of Equity (e.g., 1-2%) to determine position size. The strategy auto-calculates shares/contracts to match your selected risk per trade. Flexibility: Choose between fixed risk or equity-based scaling. The script adjusts position sizing dynamically based on your selection. Pyramiding Feature: Customizable Entries: Adjust the number of pyramiding trades allowed (e.g., 1-3 additional positions) in the strategy settings. Each new entry is triggered only if the prior trade hits its 1.5x RR target and the trend remains intact. Risk-Scaled Additions: New positions use profits from prior trades, compounding gains without increasing initial risk. Risk-Free Trade Mechanic: Once a trade reaches 1.5x RR, the stop loss is moved to breakeven, eliminating downside risk. The strategy then opens a new position (if pyramiding is enabled) using a portion of the locked-in profit. This "snowballs" winners while keeping total capital exposure stable. Impact on Net Profit & Drawdown: Net Profit Boost: Pyramiding lets you ride multi-leg trends aggressively. For example, a 100% runner could generate 2-3x more profit vs. a single-entry approach. Controlled Drawdowns: Since new positions are funded by profits (not initial capital), max drawdown stays anchored to your original risk per trade (e.g., 1-2% of account). Even if later entries fail, the breakeven stop on prior trades protects overall equity. Why This Works: Most strategies either over-leverage (increasing drawdowns) or exit too early. By recycling profits into new positions only after securing risk-free capital, this approach mimics hedge fund "scaling in" tactics while staying retail-trader friendly. ---- How does the strategy identify market structure for its trailing stoploss? The strategy identifies market structure by utilizing an efficient logic with for loops to pinpoint the first swing candle that features a pivot of 2. This marks the beginning of the break of structure, where the market's previous trend or pattern is considered invalidated or changed. ---- What are the underlying calculations? The underlying calculations involve: Identifying Swing Points: The strategy looks for swing highs (marked with blue Xs) and swing lows (marked with red Xs). A swing high is identified when a candle's high is higher than the highs of the candles before and after it. Conversely, a swing low is when a candle's low is lower than the lows of the candles before and after it. Break of Structure (BOS): Bullish BOS: This occurs when the price breaks above the swing high level of the previous structure, indicating a potential shift to a bullish trend. Bearish BOS: This happens when the price breaks below the swing low level of the previous structure, signaling a potential shift to a bearish trend. Structural Liquidity and Invalidation: Structural Liquidity: After a break of structure, liquidity levels are updated to the first swing high in a bullish BOS or the first swing low in a bearish BOS. Structural Invalidation: If the price moves back to the level of the first swing low before the bullish BOS or the first swing high before the bearish BOS, it invalidates the break of structure, suggesting a potential reversal or continuation of the previous trend. This method provides users with a technical approach to filter market regimes, offering an advantage by minimizing the risk of overfitting to historical data, which is often a concern with traditional indicators like moving averages. By focusing on identifying pivotal swing points and the subsequent breaks of structure, the strategy maintains a balance between sensitivity to market changes and robustness against historical data anomalies, ensuring a more adaptable and potentially more reliable market analysis tool. ---- What entry criteria are used in this script? The script uses two entry models for trading decisions: BreakOut and Fractal. Underlying Calculations: Breakout: The script records the most recent swing high by storing it in a variable. When the price closes above this recorded level, and all other predefined conditions are satisfied, the script triggers a breakout entry. This approach is considered conservative because it waits for the price to confirm a breakout above the previous high before entering a trade. As shown in the image, as soon as the price closes above the new candle (first tick), the long entry gets taken. The stop-loss is initially set and then moved to break-even once the price moves in favor of the trade. Fractal: This method involves identifying a swing low with a period of 2, which means it looks for a low point where the price is lower than the two candles before and after it. Once this pattern is detected, the script executes the trade. This is an aggressive approach since it doesn't wait for further price confirmation. In the image, this is represented by the 'Fractal 2' label where the script identifies and acts on the swing low pattern. ---- What type of stop-loss identification method are used in this strategy? This strategy employs two types of stop-loss methods: Initial Stop-loss and Trailing Stop-Loss. Underlying Calculations: Initial Stop-loss: ATR Based: The strategy uses the Average True Range (ATR) to set an initial stop-loss, which helps in accounting for market volatility without predicting price direction. Calculation: - First, the True Range (TR) is calculated for each period, which is the greatest of: - Current Period High - Current Period Low - Absolute Value of Current Period High - Previous Period Close - Absolute Value of Current Period Low - Previous Period Close - The ATR is then the moving average of these TR values over a specified period, typically 14 periods by default. This ATR value can be used to set the stop-loss at a distance from the entry price that reflects the current market volatility. Swing Low Based: For this method, the stop-loss is set based on the most recent swing low identified in the market structure analysis. This approach uses the lowest point of the recent price action as a reference for setting the stop-loss. Trailing Stop-Loss: The strategy uses structural liquidity and structural invalidation levels across multiple timeframes to adjust the stop-loss once the trade is profitable. This method involves: Detecting Structural Liquidity: After a break of structure, the liquidity levels are updated to the first swing high in a bullish scenario or the first swing low in a bearish scenario. These levels serve as potential areas where the price might find support or resistance, allowing the stop-loss to trail the price movement. Detecting Structural Invalidation: If the price returns to the level of the first swing low before a bullish break of structure or the first swing high before a bearish break of structure, it suggests the trend might be reversing or invalidating, prompting the adjustment of the stop-loss to lock in profits or minimize losses. By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop. The ATR-based stop-loss adapts to the current market conditions by considering the volatility, ensuring that the stop-loss is not too tight during volatile periods, which could lead to premature exits, nor too loose during calm markets, which might result in larger losses. Similarly, the swing low based stop-loss provides a logical exit point if the market structure changes unfavorably. Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance. This involves backtesting the strategy with different settings for the ATR period, the distance from the swing low, and how the trailing stop-loss reacts to structural liquidity and invalidation levels. Through this process, you can tailor the strategy to perform optimally in different market environments, ensuring that the stop-loss mechanism supports the trade's longevity while safeguarding against significant drawdowns. ---- What type of break-even method is used in this strategy? What are the underlying calculations? Moves the initial stop-loss to the entry price when the price reaches a certain RR ratio. Calculation: Break-even level = Entry Price + (Initial Risk * RR Ratio) ---- What tables are available in this script? - Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades and more. Total Commission: Displays the cumulative commissions incurred from all trades executed within the selected backtesting window. This value is derived by summing the commission fees for each trade on your chart. Average Commission: Represents the average commission per trade, calculated by dividing the Total Commission by the total number of closed trades. This metric is crucial for assessing the impact of trading costs on overall profitability. Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit. MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position. Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses. Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit. Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most mean-reversion successful strategies have a percent profitability of 40-80% but are profitable due to risk management control. BE Trades: Number of break-even trades, excluding commission/slippage. Losing Trades: The total number of losing trades generated by the strategy. Winning Trades: The total number of winning trades generated by the strategy. Total Trades: Total number of taken traders visible your charts. Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign. - Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month and year. - Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations. - UI Table: A user-friendly table that allows users to view and save the selected strategy parameters from user inputs. This table enables easy access to key settings and configurations, providing a straightforward solution for saving strategy parameters by simply taking a screenshot with Alt + S or ⌥ + S. User-input styles and customizations: Please note that all background colors in the style are disabled by default to enhance visualization. How to Use This Strategy to Create a Profitable Edge and Systems? Choose Your Strategy mode: - Decide whether you are creating an investing strategy or a trading strategy. Select a Market: - Choose a one-sided market such as stocks, indices, or cryptocurrencies. Historical Data: - Ensure the historical data covers at least 10 years of price action for robust backtesting. Timeframe Selection: - Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions/slippage on your profits. Set Commission and Slippage: - Properly set the commission and slippage in the strategy properties according to your broker/prop firm specifications. Parameter Optimization: - Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester. Trade Count: - Ensure the number of trades is 200 or more; the higher, the better for statistical significance. Positive Average Trade: - Make sure the average trade is above zero. (An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.) Performance Metrics: - Look for a high profit factor, and net profit with minimum drawdown. - Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance. Refinement and Optimization: - Try out different markets and timeframes. - Continue working on refining your edge using the available filters and components to further optimize your strategy. What Makes This Strategy Unique? This strategy combines flexibility, smart risk management, and momentum focus in a way that’s rare and practical: 1. Adapts to Any Market Rhythm Works on daily, weekly, or intraday charts without code changes. Uses two entry types: classic breakouts (like trending stocks) or fractal patterns (to avoid false starts). 2. Smarter Stop-Loss System No rigid rules: Stops adjust based on price structure (e.g., new “higher lows”), not fixed percentages. Avoids whipsaws: Tightens stops only when the trend strengthens, not in choppy markets. 3. Safe Profit-Boosting Pyramiding Adds new positions only after prior trades are risk-free (stops moved above breakeven). Scales up using locked-in profits, not new capital, to grow gains safely. 4. Built-In Momentum Check Tracks 1/3/6-month price growth to spotlight stocks with strong, lasting momentum. Terms and Conditions | Disclaimer Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data. Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited. - By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Pine Script® strategy
oleh Fractalyst
Fibonacci BB Strategy with RSI + 2% Exit📈 Fibonacci BB Strategy with RSI + 2% Profit Exit This strategy combines a VWMA-based Bollinger Band system with RSI confirmation and a 2% profit-taking mechanism, offering a balanced blend of trend and momentum trading. 🔍 Key Features: ✅ VWMA-Based Bands: Uses a 200-period Volume Weighted Moving Average (VWMA) to create dynamic support and resistance bands with standard deviation. Helps capture trend direction with volume-weighted precision. ✅ Entry Signals: Long Entry: When price crosses above the upper VWMA band. Short Entry: When price crosses below the lower VWMA band. ✅ Exit Conditions: Profit Target: Positions close automatically at a 2% profit (customizable). RSI-Based Exit: Longs close when RSI < 30 (oversold). Shorts close when RSI > 70 (overbought). ✅ Built-in Risk Management: Avoids greed-based exits by locking in profits early or exiting on reversal signals. ⚙️ User Inputs: VWMA length (default: 200) Deviation multiplier for bands (default: 3.0) RSI length (default: 14) Profit target in % (default: 2%) 🧠 How to Use: Works best in strong trending markets. Can be combined with higher-timeframe trend filters or volume analysis. Suitable for both swing trading and intraday strategies.
Pine Script® strategy
oleh electricalPers55976
02 SMC + BB Breakout (Improved)This strategy combines Smart Money Concepts (SMC) with Bollinger Band breakouts to identify potential trading opportunities. SMC focuses on identifying key price levels and market structure shifts, while Bollinger Bands help pinpoint overbought/oversold conditions and potential breakout points. The strategy also incorporates higher timeframe trend confirmation to filter out trades that go against the prevailing trend. Key Components: Bollinger Bands: Calculated using a Simple Moving Average (SMA) of the closing price and a standard deviation multiplier. The strategy uses the upper and lower bands to identify potential breakout points. The SMA (basis) acts as a centerline and potential support/resistance level. The fill between the upper and lower bands can be toggled by the user. Higher Timeframe Trend Confirmation: The strategy allows for optional confirmation of the current trend using a higher timeframe (e.g., daily). It calculates the SMA of the higher timeframe's closing prices. A bullish trend is confirmed if the higher timeframe's closing price is above its SMA. This helps filter out trades that go against the prevailing long-term trend. Smart Money Concepts (SMC): Order Blocks: Simplified as recent price clusters, identified by the highest high and lowest low over a specified lookback period. These levels are considered potential areas of support or resistance. Liquidity Zones (Swing Highs/Lows): Identified by recent swing highs and lows, indicating areas where liquidity may be present. The Swing highs and lows are calculated based on user defined lookback periods. Market Structure Shift (MSS): Identifies potential changes in market structure. A bullish MSS occurs when the closing price breaks above a previous swing high. A bearish MSS occurs when the closing price breaks below a previous swing low. The swing high and low values used for the MSS are calculated based on the user defined swing length. Entry Conditions: Long Entry: The closing price crosses above the upper Bollinger Band. If higher timeframe confirmation is enabled, the higher timeframe trend must be bullish. A bullish MSS must have occurred. Short Entry: The closing price crosses below the lower Bollinger Band. If higher timeframe confirmation is enabled, the higher timeframe trend must be bearish. A bearish MSS must have occurred. Exit Conditions: Long Exit: The closing price crosses below the Bollinger Band basis. Or the Closing price falls below 99% of the order block low. Short Exit: The closing price crosses above the Bollinger Band basis. Or the closing price rises above 101% of the order block high. Position Sizing: The strategy calculates the position size based on a fixed percentage (5%) of the strategy's equity. This helps manage risk by limiting the potential loss per trade. Visualizations: Bollinger Bands (upper, lower, and basis) are plotted on the chart. SMC elements (order blocks, swing highs/lows) are plotted as lines, with user-adjustable visibility. Entry and exit signals are plotted as shapes on the chart. The Bollinger band fill opacity is adjustable by the user. Trading Logic: The strategy aims to capitalize on Bollinger Band breakouts that are confirmed by SMC signals and higher timeframe trend. It looks for breakouts that align with potential market structure shifts and key price levels (order blocks, swing highs/lows). The higher timeframe filter helps avoid trades that go against the overall trend. In essence, the strategy attempts to identify high-probability breakout trades by combining momentum (Bollinger Bands) with structural analysis (SMC) and trend confirmation. Key User-Adjustable Parameters: Bollinger Bands Length Standard Deviation Multiplier Higher Timeframe Higher Timeframe Confirmation (on/off) SMC Elements Visibility (on/off) Order block lookback length. Swing lookback length. Bollinger band fill opacity. This detailed description should provide a comprehensive understanding of the strategy's logic and components. ***DISCLAIMER: This strategy is for educational purposes only. It is not financial advice. Past performance is not indicative of future results. Use at your own risk. Always perform thorough backtesting and forward testing before using any strategy in live trading.***
Pine Script® strategy
oleh giorendel
Fibonacci BB Strategy with RSI + 2% Exit📈 Fibonacci BB Strategy with RSI + 2% Exit This TradingView strategy combines Fibonacci Bollinger Bands (FBB) with Relative Strength Index (RSI) and a fixed 2% profit-taking mechanism to generate long and short trading signals. It’s designed for traders who want to capitalize on strong price movements with clear trend signals and smart exit logic. 🔍 What This Strategy Does This script enters trades based on breakouts from a custom Bollinger Band derived from the VWMA (Volume Weighted Moving Average) and standard deviation, using the full 1.0 Fibonacci level. It then exits positions based on either: A fixed 2% profit target, or RSI-based reversal signals to lock in profits or limit downside. 📐 Indicator Components VWMA Basis Line (Fuchsia) A 200-period Volume Weighted Moving Average (VWMA), which forms the central basis of the Fibonacci Bollinger Bands. This line adjusts dynamically with volume, giving a better representation of trend direction in actively traded markets. Upper Band (Red) Calculated as: VWMA + (1 × standard deviation) Represents a potential resistance or breakout trigger. Lower Band (Green) Calculated as: VWMA - (1 × standard deviation) Represents a potential support or breakdown trigger. RSI (Relative Strength Index) A 14-period RSI is used to filter exits when momentum weakens: RSI < 30 signals oversold (potential long exit). RSI > 70 signals overbought (potential short exit). 🎯 Trade Entry Logic Long Entry: Triggered when the closing price crosses above the Upper Band (red). Interpreted as bullish momentum strong enough to break resistance. Short Entry: Triggered when the closing price crosses below the Lower Band (green). Interpreted as bearish momentum breaking through support. 🚪 Trade Exit Logic Profit Target (2%): For long positions: closes trade when price increases 2% above entry. For short positions: closes trade when price drops 2% below entry. RSI-Based Exit: Long position: Exit if RSI < 30 (momentum weakening). Short position: Exit if RSI > 70 (momentum fading). This two-pronged exit strategy ensures that trades are closed either when the target is hit or when momentum reverses, offering flexibility and risk control. ⚙️ Customizable Inputs VWMA Length – Number of periods for VWMA (default: 200) Source – Price source for VWMA and bands (default: HLC3) Deviation Multiplier – Standard deviation multiplier (default: 3.0) RSI Length – RSI period (default: 14) Profit Target (%) – Fixed percentage profit target (default: 2.0%) 📌 Best Use Cases Trend Breakout Strategy: Captures momentum moves as price breaks out of key VWMA-based levels. Scalping and Swing Trades: Can work on intraday or higher timeframes. Risk-Controlled Trading: Combines price action with momentum and fixed-profit rules. ✅ Visual Aids Fuchsia Line: VWMA basis Red Line: Upper Band (buy trigger) Green Line: Lower Band (sell trigger) These help you see when the strategy will enter or exit trades based on key technical levels.
Pine Script® strategy
oleh electricalPers55976
EMA + RSI + MACD + Support & Resistance Combined StrategyStrategy: Enhanced EMA + RSI + MACD + Support & Resistance This strategy combines multiple technical indicators to create a robust system for identifying market opportunities. By leveraging Exponential Moving Averages (EMA), Relative Strength Index (RSI), and Moving Average Convergence Divergence (MACD) for trend confirmation, along with Support and Resistance levels to trigger breakout trades, this strategy aims to capture both trending and breakout movements. Indicators Used: EMA (5, 20, 50, 200): Helps identify the prevailing market trend, with short-term EMAs crossing longer-term ones as signals of trend shifts. RSI (14): Confirms whether the market is in a bullish (RSI > 50) or bearish (RSI < 50) zone, adding additional filter to entries. MACD (12, 26, 9): Used to confirm the momentum, where a MACD line crossing above the signal line indicates a bullish signal and vice versa for bearish. Breakout Strategy (Support & Resistance): Support & Resistance levels are dynamically calculated based on a user-defined period. Buy Condition: Triggered when price breaks above resistance and confirms bullish indicators (EMA, RSI, MACD). Sell Condition: Triggered when price breaks below support and confirms bearish indicators (EMA, RSI, MACD). Exits & Risk Management: Trailing Stop: A trailing stop is applied to lock in profits as the price moves in favor of the trade. The stop is dynamically adjusted with the market price, providing better protection during strong trends. Stop Loss: The stop loss is set at key support and resistance levels to ensure a safe exit if the market moves against the trade. This strategy aims to provide more frequent entries, take advantage of breakouts, and effectively manage risk with trailing stops. It is suitable for traders looking to capture both trends and breakouts across various timeframes.
Pine Script® strategy
oleh muddamgirivardhan
RSI & Stochastic Entry / Exit @SkidsFXThe RSI 6 Below 45 & Stochastic 5 for Buy with Exit at RSI 60 & Stochastic Above 70 indicator helps traders identify buy and exit points based on two indicators: Buy Signal: Triggered when RSI 6 drops below 45 and Stochastic 5 is below 5. Exit Signal: Triggered when RSI 6 rises above 60 and Stochastic 5 is above 70. The indicator also draws boxes to show the entry level, stop loss, and take profit (exit) levels on the chart. The Stop Loss is set at 5.5 pips below the entry. ---------------------------------------------------------------------------------------------------------------------- Settings: RSI Period: Defines the period for the RSI calculation. Default is 6. Stochastic Period: Defines the period for the Stochastic calculation. Default is 6. RSI 6 Level for Buy: The RSI level below which a buy signal is triggered. Default is 45. RSI 6 Exit Level: The RSI level above which an exit signal is triggered. Default is 60. Stochastic Entry Level: The Stochastic level below which a buy signal is triggered. Default is 5. Stochastic Exit Level: The Stochastic level above which an exit signal is triggered. Default is 70. Box Color: Changes the color of the boxes that show the buy/stop levels. Default is white. Box Transparency: Controls the transparency of the buy/stop boxes. Default is 90. Box Border Width: Sets the width of the borders for the boxes. Default is 0 (no border). Exit Box Color: Changes the color of the exit box. Default is red. Exit Box Transparency: Controls the transparency of the exit box. Default is 90. Exit Box Border Width: Sets the width of the border for the exit box. Default is 0 (no border). Use Custom Timeframe: Enables or disables locking the strategy to a custom timeframe. Default is false. Custom Timeframe: Sets the custom timeframe when Use Custom Timeframe is enabled. Default is 15 minutes. How It Works: Buy: When both the RSI 6 is below 45 and the Stochastic 5 is below 5, a buy signal is triggered. Exit: When both the RSI 6 is above 60 and the Stochastic 5 is above 70, an exit signal is triggered. Boxes: A white box is drawn around the Buy price and Stop Loss (5.5 pips below). A red box is drawn once the exit conditions are met, indicating the take profit.
Pine Script® strategy
oleh SkidsFX
Estrategia EMA + RSIElser Senior Strategy: A Precise Approach to Profitable Trading The Elser Senior strategy is designed for traders looking to take advantage of the best market opportunities with a robust technical approach. Using a combination of Exponential Moving Averages (EMA) and the Relative Strength Index (RSI), this strategy identifies key entry and exit points, allowing you to maximize profits and minimize risks. Short and Long EMAs: Accurately detect the market trend, providing clear buy and sell signals. RSI: Filters out false breakouts, focusing on overbought and oversold levels for more informed decision-making. Customizable Stop Loss and Take Profit: Protects your capital with risk management settings tailored to your needs. Set a personalized Stop Loss and TP/SL ratio, optimizing your chances of success. This strategy works across the most popular timeframes: 15 minutes, 1 hour, 4 hours, and 1 day, allowing you to adapt to different trading styles, from intraday to long-term positions. Ideal for Forex, Indices, Commodities, and Cryptocurrencies, the Elser Senior Strategy has been crafted for serious traders seeking consistency and reliability in their operations. With a clear and easy-to-follow structure, it is perfect for both novice and experienced traders. Follow the signals, optimize your risk management, and achieve successful trading with Elser Senior!
Pine Script® strategy
oleh elserr29
Malama's ScalpingMalama's Scalping Strategy Description Purpose "Malama's Scalping" is a strategy designed for traders who want to capitalize on short-term price movements in fast-moving markets. It identifies precise buy and sell opportunities by combining trend analysis, momentum, volume, volatility, and candlestick patterns. This script solves the problem of finding reliable entry and exit points in choppy or unpredictable markets, making it ideal for scalpers—traders who aim to profit from small, quick price changes—while offering built-in risk management through stop-loss and take-profit settings. How It Works The strategy uses a blend of popular technical indicators and custom logic to confirm trading signals: Trend Direction: A 50-period Simple Moving Average (SMA) acts as a trend filter. If the price is above this line, it’s a bullish (buy-friendly) market; if below, it’s bearish (sell-friendly). Momentum: The Relative Strength Index (RSI) measures price speed over 14 periods. It ensures the market isn’t overbought (RSI < 70) for buys or oversold (RSI > 30) for sells. Volume: It compares current trading volume to a 20-period average to confirm strong market participation—only high-volume moves trigger signals. Volatility: The Average True Range (ATR) over 14 periods checks if price swings are big enough (above a user-set minimum, default 2.0) to justify a trade. Candlestick Patterns: Simple yet effective patterns (e.g., a bullish candle closing higher than the previous day’s close after opening lower) add confirmation to signals. A buy or sell signal only triggers when all these conditions align, ensuring high-probability trades. Once a signal fires, the strategy automatically places trades with customizable stop-loss (e.g., 1% below entry) and take-profit (e.g., 2% above entry) levels. How to Use It Adding to TradingView: Open TradingView, go to the "Pine Editor" at the bottom, paste the script, and click "Add to Chart." You’ll see a blue trend line and buy/sell labels appear. Configuring Settings: Adjust inputs in the "Settings" menu: Trend Length (50): Increase for smoother trends, decrease for faster signals. RSI Length (14): Tweak for sensitivity to momentum. Stop Loss (1%) and Take Profit (2%): Set based on your risk tolerance. Volume Length (20): Adjust to filter volume strength. Volatility Length (14) and Minimum Volatility (2.0): Fine-tune for your asset (e.g., higher for volatile stocks like TSLA). Interpreting Signals: A green "Buy" label below a bar means enter a long position. A red "Sell" label above a bar means enter a short position. Watch the blue trend line to gauge the bigger picture. Tips for Beginners: Start with the default settings on a 1- or 5-minute chart for scalping. Test it on a demo account first to get comfortable with the signals. For Pros: Pair it with your favorite indicators (e.g., Bollinger Bands) or adjust the ATR minimum for specific markets. Use backtesting in TradingView’s "Strategy Tester" to optimize settings. Originality What makes "Malama's Scalping" stand out is its multi-filter approach. Unlike basic strategies relying on one or two indicators, it demands agreement across trend, momentum, volume, volatility, and candlestick patterns—reducing false signals and boosting confidence. The built-in automation with customizable risk management also sets it apart, offering a hands-off option for scalpers who want precision without constant monitoring. Plus, its flexibility (e.g., adjustable volatility for stocks like TSLA) makes it adaptable to various assets and timeframes, a rarity in scalping tools. This strategy bridges the gap between simplicity for beginners and robustness for pros, delivering a unique, all-in-one scalping solution.
Pine Script® strategy
oleh makenlegacy
SPY Frequent Trading Strategythis is my SPY long term trading strategy: entry if all conditions are met: 5 day rs is below 30 5 day rsi reading is down for the third day in a row 5 day rsi was below 60 three trading days ago the close is higher than the 200 day moving average exit when the 5 day rsi is above 50 I want to convert it into a strategy that trades more frequently, so adjust the rules so that it willl be taking multiple trades a week. and build it in pine script
Pine Script® strategy
oleh limitless-trevor