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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
by giorendel
Price action plus//The system combines the divergence of A/D and OBV with identifying reversal points using Japanese candlestick patterns, creating an enhanced version of price action. This helps investors more easily and accurately recognize reversal patterns in technical analysis. Divergence of A/D vs. OBV includes: Positive divergence: Identifies smart money leaving the market. Negative divergence: Identifies smart money entering the market. Reversal candlestick patterns include: Buy signals: Morning Star, Bullish Engulfing, Hammer. Strong Buy signals: Buy signals + Negative divergence Sell signals: Evening Star, Bearish Engulfing, Shooting Star. Strong Sell signals : Sell signals + Positive divergence //Hope this system will be helpful for you!
Pine Script® indicator
by HuynhDucTai
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
by electricalPers55976
Open Price on Selected TimeframeIndicator Name: Open Price on Selected Timeframe Short Title: Open Price mtf Type: Technical Indicator Description: Open Price on Selected Timeframe is an indicator that displays the Open price of a specific timeframe on your chart, with the ability to dynamically change the color of the open price line based on the change between the current candle's open and the previous candle's open. Selectable Timeframes: You can choose the timeframe you wish to monitor the Open price of candles, ranging from M1, M5, M15, H1, H4 to D1, and more. Dynamic Color Change: The Open price line changes to green when the open price of the current candle is higher than the open price of the previous candle, and to red when the open price of the current candle is lower than the open price of the previous candle. This helps users quickly identify trends and market changes. Features: Easy Timeframe Selection: Instead of editing the code, users can select the desired timeframe from the TradingView interface via a dropdown. Dynamic Color Change: The color of the Open price line changes automatically based on whether the open price of the current candle is higher or lower than the previous candle. Easily Track Open Price Levels: The indicator plots a horizontal line at the Open price of the selected timeframe, making it easy for users to track this important price level. How to Use: Select the Timeframe: Users can choose the timeframe they want to track the Open price of the candles. Interpret the Color Signal: When the open price of the current candle is higher than the open price of the previous candle, the Open price line is colored green, signaling an uptrend. When the open price of the current candle is lower than the open price of the previous candle, the Open price line turns red, signaling a downtrend. Observe the Open Price Levels: The indicator will draw a horizontal line at the Open price level of the selected timeframe, allowing users to easily monitor this important price. Benefits: Enhanced Technical Analysis: The indicator allows you to quickly identify trends and market changes, making it easier to make trading decisions. User-Friendly: No need to modify the code; simply select your preferred timeframe to start using the indicator. Disclaimer: This indicator is not a complete trading signal. It only provides information about the Open price and related trends. Users should combine it with other technical analysis tools to make more informed trading decisions. Summary: Open Price on Selected Timeframe is a simple yet powerful indicator that helps you track the Open price on various timeframes with the ability to change colors dynamically, providing a visual representation of the market's trend.
Pine Script® indicator
by Unikryptonian
Average Price Bar (APB) with Dynamic EMATrading Made Simple: APB + Dynamic EMA with Stochastic (8,3,3) Strategy Introduction The "Trading Made Simple" strategy, originally developed by BigE on ForexFactory in 2011, is a powerful yet straightforward approach to trading that combines price action, moving averages, and momentum indicators to identify high-probability setups. This enhanced version integrates: Average Price Bar (APB) – A smoothed candlestick representation that filters market noise. Dynamic EMA (5-period, HLC3-based) – Acts as a trend filter, changing color based on its position relative to price. Stochastic (8,3,3) – A fast momentum oscillator to confirm overbought/oversold conditions. Core Trading Rules (BigE's Original Concept) Trend Direction: The EMA defines the trend (bullish if price is above, bearish if below). Stochastic Confirmation: Long Trades: Look for Stochastic crossing up from oversold (<20) while price is above the EMA. Short Trades: Look for Stochastic crossing down from overbought (>80) while price is below the EMA. APB as Entry Confirmation: A bullish APB close above the EMA strengthens long signals. A bearish APB close below the EMA strengthens short signals. Why This Combination Works APB + EMA provides a clean trend bias, reducing false signals. Stochastic (8,3,3) adds momentum confirmation, ensuring entries are timed well. The background color shift (green/red) makes trend reversals visually intuitive. This system is ideal for swing traders and day traders looking for a rule-based, discretionary approach that removes emotional decision-making while keeping trading simple and effective.
Pine Script® indicator
by khai_mm_cao
Pivot Length Percentiles Oscillator# Pivot Length Percentiles Oscillator: Technical Mechanics Explained ## Introduction The Pivot Length Percentiles Oscillator is a statistical approach to identifying potential market reversals by analyzing the distribution of price movements relative to pivot points. This publication explains the technical mechanics behind the indicator. ## Core Mechanics ### 1. Pivot Point Detection The indicator begins by identifying significant pivot highs and lows using a user-defined lookback period: - `lft`: Number of bars to the left of potential pivot point - `rht`: Number of bars to the right of potential pivot point These parameters determine how "significant" a pivot needs to be to qualify for analysis. ### 2. Distance Measurement & Historical Database For each new pivot point identified, the indicator: - Calculates the absolute price distance from the previous pivot of the same type - Records the number of candles between consecutive pivots - Stores these measurements in dynamic arrays that build a historical database ### 3. Statistical Distribution Analysis Rather than using fixed values, the oscillator analyzes the complete distribution of historical pivot distances and calculates key percentile values: - `lw` (Low Percentile): Lower boundary for statistical significance - `md` (Mid Percentile): Median statistical boundary - `hi` (High Percentile): Upper boundary for statistical extremes ### 4. Oscillator Construction Two primary oscillator lines are calculated: - Green line (`osc1`): Measures current price's fall below recent highs with `low - ta.highest(high, lft)` - Red line (`osc2`): Measures current price's rise above recent lows with `high - ta.lowest(low, lft)` ### 5. Threshold Generation The percentile values from the historical distribution create dynamic threshold lines: - For downside movements: Scaled versions of the low percentile (`lw_distance_low`) and high percentile (`hi_distance_low`) - For upside movements: Scaled versions of the low percentile (`lw_distance_high`) and high percentile (`hi_distance_high`) ### 6. Signal Logic Entry signals are generated when: - **Bullish Signal**: The downside oscillator crosses below a statistical threshold while price continues showing downward momentum (close < previous close AND close < previous open) - **Bearish Signal**: The upside oscillator crosses above a statistical threshold while price continues showing upward momentum (close > previous close AND close > previous open) ### 7. Visualization Options Users can toggle between: - Standard view: Shows the oscillator and threshold lines - Percentile view: Displays the current movement's percentile rank within the historical distribution ## Implementation Notes - The indicator scales threshold values by 0.9 to create a slight buffer that reduces false signals - The movement's continuation is confirmed by checking both close-to-close and close-to-open relationships - Arrays dynamically update throughout the chart's history, making the indicator increasingly accurate as more data is processed ## Mathematical Framework The core statistical function calculates percentiles using linear interpolation between values when needed: ``` calculate_percentile(array, percentile) = sortedValue + fraction * (sortedValue - sortedValue ) ``` where `index = (array.size - 1) * percentile / 100` This mathematical approach ensures the thresholds adapt dynamically to changing market conditions rather than relying on fixed values.
Pine Script® indicator
by Kill_Streak
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
by muddamgirivardhan
Volatility Layered Supertrend [NLR]We’ve all used Supertrend, but do you know where to actually enter a trade? Volatility Layered Supertrend (VLS) is here to solve that! This advanced trend-following indicator builds on the classic Supertrend by not only identifying trends and their strength but also guiding you to the best trade entry points. VLS divides the main long-term trend into “Strong” and “Weak” Zones, with a clear “Trade Entry Zone” to help you time your trades with precision. With layered trends, dynamic profit targets, and volatility-adaptive bands, VLS delivers actionable signals for any market. Why I Created VLS Over a Plain Supertrend I built VLS to address the gaps in traditional Supertrend usage and make trade entries clearer: Single-Line Supertrend Issues: The default Supertrend sets stop-loss levels that are too wide, making it impractical for most traders to use effectively. Unclear Entry Points: Standard Supertrend doesn’t tell you where to enter a trade, often leaving you guessing or entering too early or late. Multi-Line Supertrend Enhancement: Many traders use short, medium, and long Supertrends, which is helpful but can lack focus. In VLS, I include Short, Medium, and Long trends (using multipliers 1 to 3), and add multipliers 4 and 5 to track extra long-term trends—helping to avoid fakeouts that sometimes occur with multiplier 3. My Solution: I focused on the main long-term Supertrend and split it into “Weak Zone” and “Strength Zone” to show the trend’s reliability. I also defined a “Trade Entry Zone” (starting from the Mid Point, with the first layer’s background hidden for clarity) to guide you on where to enter trades. The zones include Short, Medium, and Long Trend layers for precise entries, exits, and stop-losses. Practical Trading: This approach provides realistic stop-loss levels, clear entry points, and a “Profit Target” line that aligns with your risk tolerance, while filtering out false signals with longer-term trends. Key Features Layered Trend Zones: Short, Medium, Long, and Extra Long Trend layers (up to multipliers 4 and 5) for timing entries and exits. Strong & Weak Zones: See when the trend is reliable (Strength Zone) or needs caution (Weak Zone). Trade Entry Zone: A dedicated zone starting from the Mid Point (first layer’s background hidden) to show the best entry points. Dynamic Profit Targets: A “Profit Target” line that adjusts with the trend for clear goals. Volatility-Adaptive: Uses ATR to adapt to market conditions, ensuring reliable signals. Color-Coded: Green for uptrends, red for downtrends—simple and clear. How It Works VLS enhances the main long-term Supertrend by dividing it into two zones: Weak Zone: Indicates a less reliable trend—use tighter stop-losses or wait for the price to reach the Trade Entry Zone. Strength Zone: Signals a strong trend—ideal for entries with wider stop-losses for bigger moves. The “Trade Entry Zone” starts at the Mid Point (last layer’s background hidden for clarity), showing you the best area to enter trades. Each zone includes Short, Medium, Long, and Extra Long Trend sublevels (up to multipliers 4 and 5) for precise trade timing and to filter out fakeouts. The “Profit Target” updates dynamically based on trend direction and volatility, giving you a clear goal. How to Use Spot the Trend: Green bands = buy, red bands = sell. Check Strength: Price in Strength Zone? Trend’s reliable—trade confidently. In Weak Zone? Use tighter stops or wait. Enter Trades: Use the “Trade Entry Zone” (from the Mid Point upward) for the best entry points. Use Sublevels: Short, Medium, Long, and Extra Long layers in each zone help fine-tune entries and exits. Set Targets: Follow the Profit Target line for goals—it updates automatically. Combine Tools: Pair with RSI, MACD, or support/resistance for added confirmation. Settings ATR Length: Adjust the ATR period (default 10) to change sensitivity. Up/Down Colors: Customize colors—green for up, red for down, by default.
Pine Script® indicator
by NonLinearRookie
M.G.O Receptor RSIIt is possible to conclude that the Primary RSI is responsible for inserting each block of information in the field represented by the Cartesian scale of the price and time forces, thus complying with its ordinary programming of information organization. The equation; 1 f = ---- P It says that the frequency is inversely proportional to the period. Considering the idea that oscillatory waves (line graph) are the ex-pressure of what occurs in the MGO (on graph matrix), it is correct to state that the wave events of a common periodic wave can be easily reproduced in the M.G.O proposal, because the blocks are events (f) separated and organized by the time force (P). Notice that the "NODE" or on the other hand the BLOCK that forms the M.G.O. are the same phenomena when transmuted to the conception of idea, waves. My diligence is to show you that the G.M.O. is expressed graphically in accordance with already known physical guidelines. So it is correct to say that just as in physics an oscillatory wave event or events that remedy the name of frequency is thus separated by another force, that is, the period in which we understand that the tool that separates and organizes the oscillation events when it was standardized by Wilder in model 14 as prototyping of action within the RSI. This mathematical indicator is intended to demonstrate by capturing through the precise calculations of the averages using the following mathematical formula; average of n positive time-frames RS = --------------------------------------------- average of n negative time-frames So it is thus defined that the period is the RSI tool/programming acting in the organization of the blocks that make up the ON - MGO graphic matrix.
Pine Script® indicator
by mauricio_of_sousa