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Indicators and strategies

Fibonacci Bands [BigBeluga]The Fibonacci Band indicator is a powerful tool for identifying potential support, resistance, and mean reversion zones based on Fibonacci ratios. It overlays three sets of Fibonacci ratio bands (38.2%, 61.8%, and 100%) around a central trend line, dynamically adapting to price movements. This structure enables traders to track trends, visualize potential liquidity sweep areas, and spot reversal points for strategic entries and exits. 🔵 KEY FEATURES & USAGE Fibonacci Bands for Support & Resistance: The Fibonacci Band indicator applies three key Fibonacci ratios (38.2%, 61.8%, and 100%) to construct dynamic bands around a smoothed price. These levels often act as critical support and resistance areas, marked with labels displaying the percentage and corresponding price. The 100% band level is especially crucial, signaling potential liquidity sweep zones and reversal points. Mean Reversion Signals at 100% Bands: When price moves above or below the 100% band, the indicator generates mean reversion signals. Trend Detection with Midline: The central line acts as a trend-following tool: when solid, it indicates an uptrend, while a dashed line signals a downtrend. This adaptive midline helps traders assess the prevailing market direction while keeping the chart clean and intuitive. Extended Price Projections: All Fibonacci bands extend to future bars (default 30) to project potential price levels, providing a forward-looking perspective on where price may encounter support or resistance. This feature helps traders anticipate market structure in advance and set targets accordingly. Liquidity Sweep: -- -Liquidity Sweep at Previous Lows: The price action moves below a previous low, capturing sell-side liquidity (stop-losses from long positions or entries for breakout traders). The wick suggests that the price quickly reversed, leaving a failed breakout below support. This is a classic liquidity grab, often indicating a bullish reversal . -Liquidity Sweep at Previous Highs: The price spikes above a prior high, sweeping buy-side liquidity (stop-losses from short positions or breakout entries). The wick signifies rejection, suggesting a failed breakout above resistance. This is a bearish liquidity sweep , often followed by a mean reversion or a downward move. Display Customization: To declutter the chart, traders can choose to hide Fibonacci levels and only display overbought/oversold zones along with the trend-following midline and mean reversion signals. This option enables a clearer focus on key reversal areas without additional distractions. 🔵 CUSTOMIZATION Period Length: Adjust the length of the smoothed moving average for more reactive or smoother bands. Channel Width: Customize the width of the Fibonacci channel. Fibonacci Ratios: Customize the Fibonacci ratios to reflect personal preference or unique market behaviors. Future Projection Extension: Set the number of bars to extend Fibonacci bands, allowing flexibility in projecting price levels. Hide Fibonacci Levels: Toggle the visibility of Fibonacci levels for a cleaner chart focused on overbought/oversold regions and midline trend signals. Liquidity Sweep: Toggle the visibility of Liquidity Sweep points The Fibonacci Band indicator provides traders with an advanced framework for analyzing market structure, liquidity sweeps, and trend reversals. By integrating Fibonacci-based levels with trend detection and mean reversion signals, this tool offers a robust approach to navigating dynamic price action and finding high-probability trading opportunities.
Pine Script™ indicator
by BigBeluga
4
AadTrend [InvestorUnknown]The AadTrend indicator is an experimental trading tool that combines a user-selected moving average with the Average Absolute Deviation (AAD) from this moving average. This combination works similarly to the Supertrend indicator but offers additional flexibility and insights. In addition to generating Long and Short signals, the AadTrend indicator identifies RISK-ON and RISK-OFF states for each trade direction, highlighting areas where taking on more risk may be considered. Core Concepts and Features Moving Average (User-Selected Type) The indicator allows users to select from various types of moving averages to suit different trading styles and market conditions: Simple Moving Average (SMA) Exponential Moving Average (EMA) Hull Moving Average (HMA) Double Exponential Moving Average (DEMA) Triple Exponential Moving Average (TEMA) Relative Moving Average (RMA) Fractal Adaptive Moving Average (FRAMA) Average Absolute Deviation (AAD) The Average Absolute Deviation measures the average distance between each data point and the mean, providing a robust estimation of volatility. aad(series float src, simple int length, simple string avg_type) => avg = // Moving average as selected by the user abs_deviations = math.abs(src - avg) ta.sma(abs_deviations, length) This provides a volatility measure that adapts to recent market conditions. Combining Moving Average and AAD The indicator creates upper and lower bands around the moving average using the AAD, similar to how the Supertrend indicator uses Average True Range (ATR) for its bands. AadTrend(series float src, simple int length, simple float aad_mult, simple string avg_type) => // Calculate AAD (volatility measure) aad_value = aad(src, length, avg_type) // Calculate the AAD-based moving average by scaling the price data with AAD avg = switch avg_type "SMA" => ta.sma(src, length) "EMA" => ta.ema(src, length) "HMA" => ta.hma(src, length) "DEMA" => ta.dema(src, length) "TEMA" => ta.tema(src, length) "RMA" => ta.rma(src, length) "FRAMA" => ta.frama(src, length) avg_p = avg + (aad_value * aad_mult) avg_m = avg - (aad_value * aad_mult) var direction = 0 if ta.crossover(src, avg_p) direction := 1 else if ta.crossunder(src, avg_m) direction := -1 A chart displaying the moving average with upper and lower AAD bands enveloping the price action. Signals and Trade States 1. Long and Short Signals Long Signal: Generated when the price crosses above the upper AAD band, Short Signal: Generated when the price crosses below the lower AAD band. 2. RISK-ON and RISK-OFF States These states provide additional insight into the strength of the current trend and potential opportunities for taking on more risk. RISK-ON Long: When the price moves significantly above the upper AAD band after a Long signal. RISK-OFF Long: When the price moves back below the upper AAD band, suggesting caution. RISK-ON Short: When the price moves significantly below the lower AAD band after a Short signal. RISK-OFF Short: When the price moves back above the lower AAD band. Highlighted areas on the chart representing RISK-ON and RISK-OFF zones for both Long and Short positions. A chart showing the filled areas corresponding to trend directions and RISK-ON zones Backtesting and Performance Metrics While the AadTrend indicator focuses on generating signals and highlighting risk areas, it can be integrated with backtesting frameworks to evaluate performance over historical data. Integration with Backtest Library: import InvestorUnknown/BacktestLibrary/1 as backtestlib Customization and Calibration 1. Importance of Calibration Default Settings Are Experimental: The default parameters are not optimized for any specific market condition or asset. User Calibration: Traders should adjust the length, aad_mult, and avg_type parameters to align the indicator with their trading strategy and the characteristics of the asset being analyzed. 2. Factors to Consider Market Volatility: Higher volatility may require adjustments to the aad_mult to avoid false signals. Trading Style: Short-term traders might prefer faster-moving averages like EMA or HMA, while long-term traders might opt for SMA or FRAMA. Alerts and Notifications The AadTrend indicator includes built-in alert conditions to notify traders of significant market events: Long and Short Alerts: alertcondition(long_alert, "LONG (AadTrend)", "AadTrend flipped ⬆LONG⬆") alertcondition(short_alert, "SHORT (AadTrend)", "AadTrend flipped ⬇Short⬇") RISK-ON and RISK-OFF Alerts: alertcondition(risk_on_long, "RISK-ON LONG (AadTrend)", "RISK-ON LONG (AadTrend)") alertcondition(risk_off_long, "RISK-OFF LONG (AadTrend)", "RISK-OFF LONG (AadTrend)") alertcondition(risk_on_short, "RISK-ON SHORT (AadTrend)", "RISK-ON SHORT (AadTrend)") alertcondition(risk_off_short, "RISK-OFF SHORT (AadTrend)", "RISK-OFF SHORT (AadTrend)") Important Notes and Disclaimer Experimental Nature: The AadTrend indicator is experimental and should be used with caution. No Guaranteed Performance: Past performance is not indicative of future results. Backtesting results may not reflect real trading conditions. User Responsibility: Traders and investors should thoroughly test and calibrate the indicator settings before applying it to live trading. Risk Management: Always use proper risk management techniques, including stop-loss orders and position sizing.
Pine Script™ indicator
by InvestorUnknown
1
All in one (Indicators & Smart Money Concept (SMC) & ICT) Smart Money Concept (SMC) and ICT and All Indicators This script provides a comprehensive integration of Smart Money Concept (SMC) and the methodologies taught by ICT (Inner Circle Trader). It is designed to meet the needs of both professional and beginner traders who want to: Identify key market zones: Order Blocks (OB), Liquidity Zones, Imbalances. Understand directional bias using advanced market analysis tools (Bias Table). Anticipate market movements through advanced concepts such as Break of Structure (BOS) and Change of Character (CHoCH). Combine classic and modern tools: This script also includes an interactive table of the most commonly used indicators like RSI, MACD, EMA, and more. Every feature is optimized for clear and intuitive visual analysis, enabling you to switch between technical perspectives effortlessly. Best use case: This indicator is a powerful tool for intraday and swing trading analysis based on Smart Money Traders' methodologies. If you want to support my work here is my Wallet USDT : TMawkbD6d4uJttLZ8JoimPmNHU8ysAHtFS
Pine Script™ indicator
by Hunter_Algo
3
Harmonic Pattern Detector (75 patterns)Harmonic Pattern Detector offers a record amount of "Harmonic Patterns" in one script, with 75 different patterns detected, together with up to 99 different swing lengths. 🔶 USAGE Harmonic Patterns are detected from several different ZigZag lines, derived from Swings with different lengths (shorter - longer term) Depending on the settings ' Minimum/Maximum Swing Length ', the user will see more or less patterns from shorter and/or longer-term swing points. 🔹 Fibonacci Ratio Certain patterns have only one ratio for a specific retrace/extension instead of one upper and one lower limit. In this case, we add a ' Tolerance ', which adds a percentage tolerance below/above the ratio, creating two limits. A higher number may show more patterns but may become less valid. Hoovering over points B, C, and D will show a tooltip with the concerning limits; adjusted limits will be seen if applicable. Tooltips in settings will also show which patterns the Fibonacci Ratio applies to. 🔹 Triangle Area Ratio Using Heron's formula , the triangle area is calculated after the X-Y axis is normalized. Users can filter patterns based on the ratio of the smallest triangle to the largest triangle. A lower Triangle Area Ratio number leads to more symmetrical patterns but may appear less frequently. 🔶 DETAILS Harmonic patterns are based on geometric patterns, where the retracement/extension of a swing point must be located between specific Fibonacci ratios of the previous swing/leg. Different Harmonic Patterns require unique ratios to become valid patterns. In the above example there is a valid 'Max Butterfly' pattern where: Point B is located between 0.618 - 0.886 retracement level of the X-A leg Point C is located between 0.382 - 0.886 retracement level of the A-B leg Point D is located between 1.272 - 2.618 extension level of the B-C leg Point D is located between 1.272 - 1.618 extension level of the X-A leg Harmonic Pattern Detector uses ZigZag lines, where swing highs and swing lows alternate. Each ZigZag line is checked for valid Harmonic Patterns . When multiple types of Harmonic Patterns are valid for the same sequence, the pattern will be named after the first one found. Different swing lengths form different ZigZag lines. By evaluating different ZigZag lines (up to 99!), shorter—and longer-term patterns can be drawn on the same chart. 🔹 Blocks The patterns are organized into blocks that can be toggled on or off with a single click. When a block is enabled, the user can still select which specific patterns within that block are enabled or disabled. 🔹 Visuals Besides color settings, labels can show pattern names or arrows at point D of the pattern. Note this will happen 1 bar after validation because one extra bar is needed for confirmation. An option is included to show only arrows without the patterns. 🔹 Updated Patterns When a Swing Low is followed by a lower low or a Swing High followed by a higher high , triggering a pattern identical to a previous one except with a different point D, the pattern will be updated. The previous C-D line will be visible as a dashed line to highlight the event. Only the last dashed line is shown when this happens more than once. 🔹 Optimization The script only verifies the last leg in the initial phase, significantly reducing the time spent on pattern validation. If this leg doesn't align with a potential  Harmonic Pattern , the pattern is immediately disregarded. In the subsequent phase, the remaining patterns are quickly scrutinized to ensure the next leg is valid. This efficient process continues, with only valid patterns progressing to the next phase until all sequences have been thoroughly examined. This process can check up to 99 ZigZag lines for 75 different Harmonic Patterns , showcasing its high capacity and versatility. 🔹 Ratios The following table shows the different ratios used for each Harmonic Pattern . ' min ' and ' max ' are used when only one limit is provided instead of 2. This limit is given a percentage tolerance above and below, customizable by the setting ' Tolerance - Fibonacci Ratio '. For example a ratio of 0.618 with a tolerance of 1% would result in: an upper limit of 0.624 a lower limit of 0.612 |-------------------|------------------------|------------------------|-----------------------|-----------------------| | NAME PATTERN | BCD (BD) | ABC (AC) | XAB (XB) | XAD (XD) | | | min max | min max | min max | min max | |-------------------|------------------------|------------------------|-----------------------|-----------------------| | 'ABCD' | 1.272 - 1.618 | 0.618 - 0.786 | | | | '5-0' | 0.5 *min - 0.5 *max | 1.618 - 2.24 | 1.13 - 1.618 | | | 'Max Gartley' | 1.128 - 2.236 | 0.382 - 0.886 | 0.382 - 0.618 | 0.618 - 0.786 | | 'Gartley' | 1.272 - 1.618 | 0.382 - 0.886 | 0.618*min - 0.618*max | 0.786*min - 0.786*max | | 'A Gartley' | 1.618*min - 1.618*max | 1.128 - 2.618 | 0.618 - 0.786 | 1.272*min - 1.272*max | | 'NN Gartley' | 1.128 - 1.618 | 0.382 - 0.886 | 0.618*min - 0.618*max | 0.786*min - 0.786*max | | 'NN A Gartley' | 1.618*min - 1.618*max | 1.128 - 2.618 | 0.618 - 0.786 | 1.272*min - 1.272*max | | 'Bat' | 1.618 - 2.618 | 0.382 - 0.886 | 0.382 - 0.5 | 0.886*min - 0.886*max | | 'Alt Bat' | 2.0 - 3.618 | 0.382 - 0.886 | 0.382*min - 0.382*max | 1.128*min - 1.128*max | | 'A Bat' | 2.0 - 2.618 | 1.128 - 2.618 | 0.382 - 0.618 | 1.128*min - 1.128*max | | 'Max Bat' | 1.272 - 2.618 | 0.382 - 0.886 | 0.382 - 0.618 | 0.886*min - 0.886*max | | 'NN Bat' | 1.618 - 2.618 | 0.382 - 0.886 | 0.382 - 0.5 | 0.886*min - 0.886*max | | 'NN Alt Bat' | 2.0 - 4.236 | 0.382 - 0.886 | 0.382*min - 0.382*max | 1.128*min - 1.128*max | | 'NN A Bat' | 2.0 - 2.618 | 1.128 - 2.618 | 0.382 - 0.618 | 1.128*min - 1.128*max | | 'NN A Alt Bat' | 2.618*min - 2.618*max | 1.128 - 2.618 | 0.236 - 0.5 | 0.886*min - 0.886*max | | 'Butterfly' | 1.618 - 2.618 | 0.382 - 0.886 | 0.786*min - 0.786*max | 1.272 - 1.618 | | 'Max Butterfly' | 1.272 - 2.618 | 0.382 - 0.886 | 0.618 - 0.886 | 1.272 - 1.618 | | 'Butterfly 113' | 1.128 - 1.618 | 0.618 - 1.0 | 0.786 - 1.0 | 1.128*min - 1.128*max | | 'A Butterfly' | 1.272*min - 1.272*max | 1.128 - 2.618 | 0.382 - 0.618 | 0.618 - 0.786 | | 'Crab' | 2.24 - 3.618 | 0.382 - 0.886 | 0.382 - 0.618 | 1.618*min - 1.618*max | | 'Deep Crab' | 2.618 - 3.618 | 0.382 - 0.886 | 0.886*min - 0.886*max | 1.618*min - 1.618*max | | 'A Crab' | 1.618 - 2.618 | 1.128 - 2.618 | 0.276 - 0.446 | 0.618*min - 0.618*max | | 'NN Crab' | 2.236 - 4.236 | 0.382 - 0.886 | 0.382 - 0.618 | 1.618*min - 1.618*max | | 'NN Deep Crab' | 2.618 - 4.236 | 0.382 - 0.886 | 0.886*min - 0.886*max | 1.618*min - 1.618*max | | 'NN A Crab' | 1.128 - 2.618 | 1.128 - 2.618 | 0.236 - 0.447 | 0.618*min - 0.618*max | | 'NN A Deep Crab' | 1.128*min - 1.128*max | 1.128 - 2.618 | 0.236 - 0.382 | 0.618*min - 0.618*max | | 'Cypher' | 1.272 - 2.00 | 1.13 - 1.414 | 0.382 - 0.618 | 0.786*min - 0.786*max | | 'New Cypher' | 1.272 - 2.00 | 1.414 - 2.14 | 0.382 - 0.618 | 0.786*min - 0.786*max | | 'Anti New Cypher' | 1.618 - 2.618 | 0.467 - 0.707 | 0.5 - 0.786 | 1.272*min - 1.272*max | | 'Shark 1' | 1.618 - 2.236 | 1.128 - 1.618 | 0.382 - 0.618 | 0.886*min - 0.886*max | | 'Shark 1 Alt' | 1.618 - 2.618 | 0.618 - 0.886 | 0.446 - 0.618 | 1.128*min - 1.128*max | | 'Shark 2' | 1.618 - 2.236 | 1.128 - 1.618 | 0.382 - 0.618 | 1.128*min - 1.128*max | | 'Shark 2 Alt' | 1.618 - 2.618 | 0.618 - 0.886 | 0.446 - 0.618 | 0.886*min - 0.886*max | | 'Leonardo' | 1.128 - 2.618 | 0.382 - 0.886 | 0.5*min - 0.5*max | 0.786*min - 0.786*max | | 'NN A Leonardo' | 2.0*min - 2.0*max | 1.128 - 2.618 | 0.382 - 0.886 | 1.272*min - 1.272*max | | 'Nen Star' | 1.272 - 2.0 | 1.414 - 2.14 | 0.382 - 0.618 | 1.272*min - 1.272*max | | 'Anti Nen Star' | 1.618 - 2.618 | 0.467 - 0.707 | 0.5 - 0.786 | 0.786*min - 0.786*max | | '3 Drives' | 1.272 - 1.618 | 0.618 - 0.786 | 1.272 - 1.618 | 1.618 - 2.618 | | 'A 3 Drives' | 0.618 - 0.786 | 1.272 - 1.618 | 0.618 - 0.786 | 0.13 - 0.886 | | '121' | 0.382 - 0.786 | 1.128 - 3.618 | 0.5 - 0.786 | 0.382 - 0.786 | | 'A 121' | 1.272 - 2.0 | 0.5 - 0.786 | 1.272 - 2.0 | 1.272 - 2.618 | | '121 BG' | 0.618 - 0.707 | 1.128 - 1.733 | 0.5 - 0.577 | 0.447 - 0.786 | | 'Black Swan' | 1.128 - 2.0 | 0.236 - 0.5 | 1.382 - 2.618 | 1.128 - 2.618 | | 'White Swan' | 0.5 - 0.886 | 2.0 - 4.237 | 0.382 - 0.786 | 0.238 - 0.886 | | 'NN White Swan' | 0.5 - 0.886 | 2.0 - 4.236 | 0.382 - 0.724 | 0.382 - 0.886 | | 'Sea Pony' | 1.618 - 2.618 | 0.382 - 0.5 | 0.128 - 3.618 | 0.618 - 3.618 | | 'Navarro 200' | 0.886 - 3.618 | 0.886 - 1.128 | 0.382 - 0.786 | 0.886 - 1.128 | | 'May-00' | 0.5 - 0.618 | 1.618 - 2.236 | 1.128 - 1.618 | 0.5 - 0.618 | | 'SNORM' | 0.9 - 1.1 | 0.9 - 1.1 | 0.9 - 1.1 | 0.618 - 1.618 | | 'COL Poruchik' | 1.0 *min - 1.0 *max | 0.382 - 2.618 | 0.128 - 3.618 | 0.618 - 3.618 | | 'Henry – David' | 0.618 - 0.886 | 0.44 - 0.618 | 0.128 - 2.0 | 0.618 - 1.618 | | 'DAVID VM 1' | 1.618 - 1.618 | 0.382*min - 0.382*max | 0.128 - 1.618 | 0.618 - 3.618 | | 'DAVID VM 2' | 1.618 - 1.618 | 0.382*min - 0.382*max | 1.618 - 3.618 | 0.618 - 7.618 | | 'Partizan' | 1.618*min - 1.618*max | 0.382*min - 0.382*max | 0.128 - 3.618 | 0.618 - 3.618 | | 'Partizan 2' | 1.618 - 2.236 | 1.128 - 1.618 | 0.128 - 3.618 | 1.618 - 3.618 | | 'Partizan 2.1' | 1.618*min - 1.618*max | 1.128*min - 1.128*max | 0.128 - 3.618 | 0.618 - 3.618 | | 'Partizan 2.2' | 2.236*min - 2.236*max | 1.128*min - 1.128*max | 0.128 - 3.618 | 0.618 - 3.618 | | 'Partizan 2.3' | 1.618*min - 1.618*max | 0.618 - 1.618 | 0.128 - 3.618 | 0.618 - 3.618 | | 'Partizan 2.4' | 2.236*min - 2.236*max | 1.618*min - 1.618*max | 0.128 - 3.618 | 0.618 - 3.618 | | 'TOTAL' | 1.272 - 3.618 | 0.382 - 2.618 | 0.276 - 0.786 | 0.618 - 1.618 | | 'TOTAL NN' | 1.272 - 4.236 | 0.382 - 2.618 | 0.236 - 0.786 | 0.618 - 1.618 | | 'TOTAL 1' | 1.272 - 2.618 | 0.382 - 0.886 | 0.382 - 0.786 | 0.786 - 0.886 | | 'TOTAL 2' | 1.618 - 3.618 | 0.382 - 0.886 | 0.382 - 0.786 | 1.128 - 1.618 | | 'TOTNN 2NN' | 1.618 - 4.236 | 0.382 - 0.886 | 0.382 - 0.786 | 1.128 - 1.618 | | 'TOTAL 3' | 1.272 - 2.618 | 1.128 - 2.618 | 0.276 - 0.618 | 0.618 - 0.886 | | 'TOTNN 3NN' | 1.272 - 2.618 | 1.128 - 2.618 | 0.236 - 0.618 | 0.618 - 0.886 | | 'TOTAL 4' | 1.618 - 2.618 | 1.128 - 2.618 | 0.382 - 0.786 | 1.128 - 1.272 | | 'BG 1' | 2.618*min - 2.618*max | 0.382*min - 0.382*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 2' | 2.237*min - 2.237*max | 0.447*min - 0.447*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 3' | 2.0 *min - 2.0 *max | 0.5 *min - 0.5 *max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 4' | 1.618*min - 1.618*max | 0.618*min - 0.618*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 5' | 1.414*min - 1.414*max | 0.707*min - 0.707*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 6' | 1.272*min - 1.272*max | 0.786*min - 0.786*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 7' | 1.171*min - 1.171*max | 0.854*min - 0.854*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 8' | 1.128*min - 1.128*max | 0.886*min - 0.886*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | |-------------------|------------------------|------------------------|-----------------------|-----------------------| 🔶 SETTINGS 🔹 Swings Minimum Swing Length: Minimum length used for the swing detection. Maximum Swing Length: Maximum length used for the swing detection. 🔹 Patterns Toggle Pattern Block Toggle separate pattern in each Pattern Block 🔹 Tolerance Fibonacci Ratio: Adds a percentage tolerance below/above the ratio when only one ratio applies, creating two limits. Triangle Area Ratio: Filters patterns based on the ratio of the smallest triangle to the largest triangle. 🔹 Display Labels: Display Pattern Names, Arrows or nothing Patterns: Display or not Last Line: Display previous C-D line when updated 🔹 Style Colors: Pattern Lines/Names/Arrows - background color of patterns Text Size: Text Size of Pattern Names/Arrows 🔹 Calculation Calculated Bars: Allows the usage of fewer bars for performance/speed improvement
Pine Script™ indicator
by fikira
2
Ultra Market StructureThe Ultra Market Structure indicator detects key market structure breaks, such as Break of Structure (BoS) and Change of Character (CHoCH), to help identify trend reversals. It plots lines and labels on the chart to visualize these breakpoints with alerts for important signals. Introduction This script is designed to help traders visualize important market structure events, such as trend breaks and reversals, using concepts like Break of Structure (BoS) and Change of Character (CHoCH). The indicator highlights internal and external price levels where the market shifts direction. It offers clear visual signals and alerts to keep traders informed of potential changes in the market trend. Detailed Description The indicator focuses on detecting "market structure breaks," which occur when the price moves past significant support or resistance levels, suggesting a potential reversal or continuation of the trend. ......... Type of structure Internal Structure: Focuses on smaller, shorter-term price levels within the current market trend. External Structure: Focuses on larger, longer-term price levels that may indicate more significant shifts in the market. ..... Key events Break of Structure (BoS): A market structure break where the price surpasses a previous high (bullish BoS) or low (bearish BoS). Change of Character (CHoCH): A shift in market behavior when the price fails to continue in the same direction, indicating a possible trend reversal. Once a break or shift is detected, the script plots lines and labels on the chart to visually mark the breakpoints. It also provides alerts when a BoS or CHoCH occurs, keeping traders informed in real-time. The indicator can color the background and candles based on the market structure, making it easy to identify the current trend. ..... Special feature At news events or other momentum pushes most structure indicators will go into "sleep mode" because of too far away structure highs/lows. This indicator has a structure reset feature to solve this issue. ......... Detects Break of Structure (BoS) and Change of Character (CHoCH) signals. Marks internal and external support/resistance levels where market trends change. Provides visual cues (lines, labels) and real-time alerts for structure breaks. Offers background and candle color customization to highlight market direction.
Pine Script™ indicator
by Rathack
3
FRIEDRICHs - AI learning trendFRIEDRICHs learning trend - take your trading to the NEXT LEVEL! Introducing the AI learning trend, an advanced trading indicator designed to adapt to market volatility dynamically using machine learning techniques. This indicator employs Clustering to categorize market volatility into high, medium, and low levels, enhancing the traditional SuperTrend strategy. Perfect for traders who want an edge in identifying trend shifts and market conditions. What is Clustering and how it works? Clustering is a machine learning algorithm that partitions data into distinct groups based on similarity. In this indicator, the algorithm analyzes ATR (Average True Range) values to classify volatility into three clusters: high, medium, and low. The algorithm iterates to optimize the centroids of these clusters, ensuring accurate volatility classification. BTC: 1PAPA7ozQe7QdK2HNSsaPaAwMJnLP2nig1 Network: BTC XRP: rNxp4h8apvRis6mJf9Sh8C6iRxfrDWN7AV MEMO: 393065086
Pine Script™ indicator
by FRIEDRICHs
Weis Wave Max█ Overview Weis Wave Max is the result of my weis wave study. David Weis said, "Trading with the Weis Wave involves changes in behavior associated with springs, upthrusts, tests of breakouts/breakdowns, and effort vs reward. The most common setup is the low-volume pullback after a bullish/bearish change in behavior." THE STOCK MARKET UPDATE (February 24, 2013) I inspired from his sentences and made this script. Its Main feature is to identify the largest wave in Weis wave and advantageous trading opportunities. █ Features This indicator includes several features related to the Weis Wave Method. They help you analyze which is more bullish or bearish. Highlight Max Wave Value (single direction) Highlight Abnormal Max Wave Value (both directions) Support and Resistance zone Signals and Setups █ Usage Weis wave indicator displays cumulative volume for each wave. Wave volume is effective when analyzing volume from VSA (Volume Spread Analysis) perspective. The basic idea of Weis wave is large wave volume hint trend direction. This helps identify proper entry point. This indicator highlights max wave volume and displays the signal and then proper Risk Reward Ratio entry frame. I defined Change in Behavior as max wave volume (single direction). Pullback is next wave that does not exceed the starting point of CiB wave (LH sell entry, HL buy entry). Change in Behavior Signal ○ appears when pullback is determined. Change in Behavior Setup (Entry frame) appears when condition of Min/Max Pullback is met and follow through wave breaks end point of CiB wave. This indicator has many other features and they can also help a user identify potential levels of trade entry and which is more bullish or bearish. In the screenshot below we can see wave volume zones as support and resistance levels. SOT and large wave volume /delta price (yellow colored wave text frame) hint stopping action. █ Settings Explains the main settings.  -- General -- Wave size : Allows the User to select wave size from ① Fixed or ② ATR. ② ATR is Factor x ATR(Length). Display : Allows the User to select how many wave text and zigzag appear. -- Wave Type -- Wave type : Allows the User to select from Volume or Volume and Time. Wave Volume / delta price : Displays Wave Volume / delta price. Simplified value : Allows the User to select wave text display style from ① Divisor or ② Normalized. Normalized use SMA. Decimal : Allows the User to select the decimal point in the Wave text. -- Highlight Abnormal Wave -- Highlight Max Wave value (single direction) : Adds marks to the Wave text to highlight the max wave value. Lookback : Allows the User to select how many waves search for the max wave value. Highlight Abnormal Wave value (both directions) : Changes wave text size, color or frame color to highlight the abnormal wave value. Lookback : Allows the User to select SMA length to decide average wave value. Large/Small factor : Allows the User to select the threshold large wave value and small wave value. Average wave value is 1. delta price : Highlights large delta price by large wave text size, small by small text size. Wave Volume : Highlights large wave volume by yellow colored wave text, small by gray colored. Wave Volume / delta price : highlights large Wave Volume / delta price by yellow colored wave text frame, small by gray colored. -- Support and Resistance -- Single side Max Wave Volume / delta price : Draws dashed border box from end point of Max wave volume / delta price level. Single side Max Wave Volume : Draws solid border box from start point of Max wave volume level. Bias Wave Volume : Draws solid border box from start point of bias wave volume level. -- Signals -- Bias (Wave Volume / delta price) : Displays Bias mark when large difference in wave volume / delta price before and after. Ratio : Decides the threshold of become large difference. 3Decrease : Displays 3D mark when a continuous decrease in wave volume. Shortening Of the Thrust : Displays SOT mark when a continuous decrease in delta price. Change in Behavior and Pullback : Displays CiB mark when single side max wave volume and pullback. -- Setups -- Change in Behavior and Pullback and Breakout : Displays entry frame when change in behavior and pullback and then breakout. Min / Max Pullback : Decides the threshold of min / max pullback. If you need more information, please read the indicator's tooltip. █ Conclusion Weis Wave is powerful interpretation of volume and its tell us potential trend change and entry point which can't find without weis wave. It's not the holy grail, but improve your chart reading skills and help you trade rationally (at least from VSA perspective).
Pine Script™ indicator
by akutsusho
10
Kolojo Scalping - EMA, ST, FVGDieses Skript wurde speziell für präzises Scalping entwickelt und eignet sich besonders gut für den Handel mit Gold. Es kombiniert mehrere leistungsstarke Werkzeuge, um optimale Trading-Entscheidungen zu unterstützen: - Zwei anpassbare EMA-Linien: Ermöglichen eine flexible Anpassung an unterschiedliche Marktbedingungen. - Supertrend-Indikator: Ein bewährtes Tool zur Erkennung von Trends und potenziellen Ein- und Ausstiegspunkten. - Deutlich hervorgehobene Bullishe und Bearishe FVG (Fair Value Gaps): Unterstützen bei der Identifikation von Marktineffizienzen und potenziellen Umkehrzonen. Dieses Skript ist ideal für Trader, die schnellen und präzisen Entscheidungen auf Basis klarer Signale treffen möchten. (Persönlich bevorzugte TF: 15)
Pine Script™ indicator
by Kolojoo
High Probability BreakoutThis indicator calculates the level importance by binning the historical price range and then aggregates occurrence of fractals weighted by the power of the trend the reversal point stopped. Later the indicator detects blocks of high importanc levels, and the action zones between them. When price crosses trough a block of high importance levels aka Support or Resistance zones, the indicator filters out the signal based on the breaker and verification candle structure, the ratios in the settings are out of 1.
Pine Script™ indicator
by mertenes3
Take Double Action PriceThe "Take Double Action Price" (TakeDAP) indicator is a comprehensive tool designed for TradingView, offering a wide range of features to help traders identify key price action patterns, trend directions, and potential trading opportunities. This indicator combines multiple technical analysis methods, including Exponential Moving Averages (EMAs), cloud trends, super trends, and various price action patterns, to provide a holistic view of the market. Key Features: Price Action Settings: Position Loss %: Allows traders to set the potential loss of a position as a percentage, which is used to calculate the required leverage. Fixed Leverage: Option to enable or disable fixed leverage. Set Leverage: Specify the total capital when using fixed leverage. Total Capital: Define the total capital for leverage calculations. Price Action Patterns: Pin Bars: Identify pin bars with customizable colors. Outside Bars: Detect outside bars with customizable colors. Inside Bars: Recognize inside bars with customizable colors. PPR Bars: Identify PPR bars with customizable colors. Candle and Line Customization: Customize the colors of candles, wicks, borders, and labels. Adjust the length of label lines, take lines, and stop lines. Trend Settings: Show Cloud Trend: Option to display the cloud trend. Cloud Lookback Period: Define the lookback period for the cloud trend. Cloud Highligher Colors: Customize the colors for uptrend and downtrend highlights. Cloud Trend Transparence: Adjust the transparency of the cloud trend. Exponential Moving Average (EMA): Show EMA: Option to display EMAs. Fill EMA: Option to fill the area between EMAs. EMA Source: Select the source for EMA calculations. EMA Lengths and Colors: Customize the lengths and colors for up to nine EMAs. Offset and Transparency: Adjust the offset and transparency of EMAs. Super Trend: Show Super Trend: Option to display the super trend. ATR Lengths and Factors: Customize the ATR lengths and factors for the super trend. Super Trend Colors: Customize the colors for uptrend and downtrend highlights. Super Trend Transparence: Adjust the transparency of the super trend. EMA Trend Bands: Show EMA Trend Bands: Option to display EMA trend bands. EMA Trend Deviation: Customize the deviation for EMA trend bands. EMA Trend Highligter Colors: Customize the colors for uptrend and downtrend highlights. EMA Trend Transparence: Adjust the transparency of EMA trend bands. ATR Trend Bands: Show ATR Trend Bands: Option to display ATR trend bands. ATR Length and Smoothing: Customize the ATR length and smoothing method. ATR Take Multipliers: Customize the take multipliers for ATR trend bands. ATR Trend Highligter Colors: Customize the colors for uptrend and downtrend highlights. Price Action Signals Source: Select the source for displaying price action signals based on the price position. Alerts: All Price Actions: Alert for any price action pattern formed. Only Pin-bar: Alert specifically for pin-bar patterns. Usage: The "Take Double Action Price" indicator is designed to be a versatile tool for traders, providing multiple layers of analysis to help identify potential trading opportunities. By combining price action patterns with trend analysis and moving averages, traders can gain a comprehensive understanding of market conditions and make more informed trading decisions. Customization: The indicator offers extensive customization options, allowing traders to tailor the settings to their specific trading strategies and preferences. From adjusting the colors and lengths of various elements to selecting the sources for trend and price action signals, traders can fine-tune the indicator to suit their needs. Explanation Pin Bar Detection The function shouldColorCandle takes the open, close, high, and low prices of a candle as inputs. It calculates the body size (A), the upper wick size (B), and the lower wick size (C) of the candle. conditionpinDN: A downward pin bar is detected if the upper wick (B) is at least twice the size of the body (A) and the lower wick (C). conditionpinUP: An upward pin bar is detected if the lower wick (C) is at least twice the size of the body (A) and the upper wick (B). The function returns two boolean values: conditionpinDN and conditionpinUP, indicating whether the current candle is a downward or upward pin bar, respectively. PPR Bar Detection The function isPPR takes the open, high, low, close prices of the current candle and the previous candle (openPrev, highPrev, lowPrev, closePrev) as inputs. It checks if the current close price is greater than the previous high price and if the previous open price is greater than the previous close price for a bullish PPR. It checks if the current close price is less than the previous low price and if the previous open price is less than the previous close price for a bearish PPR. Outside Bar Detection The function isOutsideBarAbsorption takes the open, high, low, close prices of the current candle and the previous candle (openPrev, highPrev, lowPrev, closePrev) as inputs. It checks if the current close price is greater than the previous high price and if the current low price is less than the previous low price for a bullish outside bar. It checks if the current close price is less than the previous low price and if the current high price is greater than the previous high price for a bearish outside bar. Line Plotting: The script builds lines for stop and take profit levels, the multiplier of which can be changed in the settings. For PPR and outside bars, it builds lines based on previous highs or lows with take profit and stop factors. For Pin bars, it builds lines based on the long wick of the candle with take profit and stop factors. Leverage Calculation: The script calculates the stop value based on the high and low prices of the previous and current candles. It then calculates the leverage value as a percentage of the stop value (the "X:" on the label). The leverage value is calculated based on the leverage percentage or the fixed leverage value if enabled. The position value is calculated based on the capital, shoulder percentage, stop value, and set leverage. EMA Trend Calculation: Calculates the standard deviation of the selected EMA multiplied by the deviation multiplier and calculates the upper and lower deviation bands and displays the required ones relative to the current price and the short term EMA. ATR Bands Calculation: Calculate the upper and lower ATR bands around the selected ATR source and multipliers and determine which ATR band to plot based on the position of the closing price relative to the ATR source. EMA Extension: Calculates the absolute difference between the 3rd EMA and the 5th EMA and store previous values ​​when there is a change A bullish extension is detected if the current difference is greater than the previous difference and 3rd EMA is above 5th EMA. A bearish extension is detected if the current difference is greater than the previous difference and 3rd EMA is below 5th EMA. Plots shapes (triangles) on the chart to indicate the detected extensions.
Pine Script™ indicator
by Shaman4eG
Swing Trading Strategy with DMIThis strategy factors in several indicators seeking to identify a bull trend. When the bull trend is identified the strategy will alert to buy. We consider the DMI and several averages. This strategy takes a small piece of profit normally 3-5% from an uptrend then sells to avoid holding into a reversal. The profit can be set to any percentage but the strategy work best when limited to 3-5%. The strategy does not include stop losses, which can be set at the users preference. The SAR is used to confirm the bull trend which is checked against the DMI.
Pine Script™ strategy
by lee_sangeryoung
Adapted RSI w/ Multi-Asset Regime Detection v1.1The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of an asset's recent price changes to detect overbought or oversold conditions in the price of said asset. In addition to identifying overbought and oversold assets, the RSI can also indicate whether your desired asset may be primed for a trend reversal or a corrective pullback in price. It can signal when to buy and sell. The RSI will oscillate between 0 and 100. Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition. The RSI is one of the most popular technical indicators. I intend to offer a fresh spin. Adapted RSI w/ Multi-Asset Regime Detection Our Adapted RSI makes necessary improvements to the original Relative Strength Index (RSI) by combining multi-timeframe analysis with multi-asset monitoring and providing traders with an efficient way to analyse market-wide conditions across different timeframes and assets simultaneously. The indicator automatically detects market regimes and generates clear signals based on RSI levels, presenting this data in an organised, easy-to-read format through two dynamic tables. Simplicity is key, and having access to more RSI data at any given time, allows traders to prepare more effectively, especially when trading markets that "move" together. How we calculate the RSI First, the RSI identifies price changes between periods, calculating gains and losses from one look-back period to the next. This look-back period averages gains and losses over 14 periods, which in this case would be 14 days, and those gains/losses are calculated based on the daily closing price. For example: Average Gain = Sum of Gains over the past 14 days / 14 Average Loss = Sum of Losses over the past 14 days / 14 Then we calculate the Relative Strength (RS): RS = Average Gain / Average Loss Finally, this is converted to the RSI value: RSI = 100 - (100 / (1 + RS)) Key Features Our multi-timeframe RSI indicator enhances traditional technical analysis by offering synchronised Daily, Weekly, and Monthly RSI readings with automatic regime detection. The multi-asset monitoring system allows tracking of up to 10 different assets simultaneously, with pre-configured major pairs that can be customised to any asset selection. The signal generation system provides clear market guidance through automatic regime detection and a five-level signal system, all presented through a sophisticated visual interface with dynamic RSI line colouring and customisable display options. Quick Guide to Use it Begin by adding the indicator to your chart and configuring your preferred assets in the "Asset Comparison" settings. Position the two information tables according to your preference. The main table displays RSI analysis across three timeframes for your current asset, while the asset table shows a comparative analysis of all monitored assets. Signals are colour-coded for instant recognition, with green indicating bullish conditions and red for bearish conditions. Pay special attention to regime changes and signal transitions, using multi-timeframe confluence to identify stronger signals. How it Works (Regime Detection & Signals) When we say 'Regime', a regime is determined by a persistent trend or in this case momentum and by leveraging this for RSI, which is a momentum oscillator, our indicator employs a relatively simple regime detection system that classifies market conditions as either Bullish (RSI > 50) or Bearish (RSI < 50). Our benchmark between a trending bullish or bearish market is equal to 50. By leveraging a simple classification system helps determine the probability of trend continuation and the weight given to various signals. Whilst we could determine a Neutral regime for consolidating markets, we have employed a 'neutral' signal generation which will be further discussed below... Signal generation occurs across five distinct levels: Strong Buy (RSI < 15) Buy (RSI < 30) Neutral (RSI 30-70) Sell (RSI > 70) Strong Sell (RSI > 85) Each level represents different market conditions and probability scenarios. For instance, extreme readings (Strong Buy/Sell) indicate the highest probability of mean reversion, while neutral readings suggest equilibrium conditions where traders should focus on the overall regime bias (Bullish/Bearish momentum). This approach offers traders a new and fresh spin on a popular and well-known tool in technical analysis, allowing traders to make better and more informed decisions from the well presented information across multiple assets and timeframes. Experienced and beginner traders alike, I hope you enjoy this adaptation.
Pine Script™ indicator
by igreycrypto
ADM Indicator [CHE] Comprehensive Description of the Three Market Phases for TradingView Introduction Financial markets often exhibit patterns that reflect the collective behavior of participants. Recognizing these patterns can provide traders with valuable insights into potential future price movements. The ADM Indicator is designed to help traders identify and capitalize on these patterns by detecting three primary market phases: 1. Accumulation Phase 2. Manipulation Phase 3. Distribution Phase This indicator places labels on the chart to signify these phases, aiding traders in making informed decisions. Below is an in-depth explanation of each phase, including how the ADM Indicator detects them. 1. Accumulation Phase Definition The Accumulation Phase is a period where informed investors or institutions discreetly purchase assets before a potential price increase. During this phase, the price typically moves within a confined range between established highs and lows. Characteristics - Price Range Bound: The asset's price stays within the previous high and low after a timeframe change. - Low Volatility: Minimal price movement indicates a balance between buyers and sellers. - Steady Volume: Trading volume may remain relatively constant or show slight increases. - Market Sentiment: General market interest is low, as the accumulation is not yet apparent to the broader market. Detection with ADM Indicator - Criteria: An accumulation is detected when the price remains within the previous high and low after a timeframe change. - Indicator Action: At the end of the period, if accumulation has occurred, the indicator places a label "Accumulation" on the chart. - Visual Cues: A yellow semi-transparent background highlights the accumulation phase, enhancing visual recognition. Implications for Traders - Entry Opportunity: Consider preparing for potential long positions before a possible upward move. - Risk Management: Use tight stop-loss orders below the support level due to the defined trading range. 2. Manipulation Phase Definition The Manipulation Phase, also known as the Shakeout Phase, occurs when dominant market players intentionally move the price to trigger stop-loss orders and create panic among less-informed traders. This action generates liquidity and better entry prices for large positions. Characteristics - False Breakouts: The price moves above the previous high or below the previous low but quickly reverses. - Increased Volatility: Sharp price movements occur without fundamental reasons. - Stop-Loss Hunting: The price targets common stop-loss areas, triggering them before reversing. - Emotional Trading: Retail traders may react impulsively, leading to poor trading decisions. Detection with ADM Indicator - Manipulation Up: - Criteria: Detected when the price rises above the previous high and then falls back below it. - Indicator Action: Places a label "Manipulation Up" on the chart at the point of detection. - Manipulation Down: - Criteria: Detected when the price falls below the previous low and then rises back above it. - Indicator Action: Places a label "Manipulation Down" on the chart at the point of detection. - Visual Cues: - Manipulation Up: Blue background highlights the phase. - Manipulation Down: Orange background highlights the phase. Implications for Traders - Caution Advised: Be wary of false signals and avoid overreacting to sudden price changes. - Preparation for Next Phase: Use this phase to anticipate potential distribution and adjust strategies accordingly. 3. Distribution Phase Definition The Distribution Phase occurs when the institutions or informed investors who accumulated positions start selling to the general market at higher prices. This phase often follows a Manipulation Phase and may signal an impending trend reversal. Characteristics - Price Reversal: The price moves in the opposite direction of the prior manipulation. - High Trading Volume: Increased selling activity as large players offload positions. - Trend Weakening: The previous trend loses momentum, indicating a potential shift. - Market Sentiment Shift: Optimism fades, and uncertainty or pessimism may emerge. Detection with ADM Indicator - Distribution Up: - Criteria: Detected after a verified Manipulation Up when the price subsequently falls below the previous low. - Indicator Action: Places a label "Distribution Up" on the chart. - Distribution Down: - Criteria: Detected after a verified Manipulation Down when the price subsequently rises above the previous high. - Indicator Action: Places a label "Distribution Down" on the chart. - Visual Cues: - Distribution Up: Purple background highlights the phase. - Distribution Down: Maroon background highlights the phase. Implications for Traders - Exit Signals: Consider closing long positions if in a Distribution Up phase. - Short Selling Opportunities: Potential to enter short positions anticipating a downtrend. Using the ADM Indicator on TradingView Indicator Overview The ADM Indicator automates the detection of Accumulation, Manipulation, and Distribution phases by analyzing price movements relative to previous highs and lows on a selected timeframe. It provides visual cues and labels on the chart, helping traders quickly identify the current market phase. Features - Multi-Timeframe Analysis: Choose from auto, multiplier, or manual timeframe settings. - Visual Labels: Clear labeling of market phases directly on the chart. - Background Highlighting: Distinct background colors for each phase. - Customizable Settings: Adjust colors, styles, and display options. - Period Separators: Optional separators delineate different timeframes. Interpreting the Indicator 1. Accumulation Phase - Detection: Price stays within the previous high and low after a timeframe change. - Label: "Accumulation" placed at the period's end if detected. - Background: Yellow semi-transparent color. - Action: Prepare for potential long positions. 2. Manipulation Phase - Detection: - Manipulation Up: Price rises above previous high and then falls back below. - Manipulation Down: Price falls below previous low and then rises back above. - Labels: "Manipulation Up" or "Manipulation Down" placed at detection. - Background: - Manipulation Up: Blue color. - Manipulation Down: Orange color. - Action: Exercise caution; avoid impulsive trades. 3. Distribution Phase - Detection: - Distribution Up: After a Manipulation Up, price falls below previous low. - Distribution Down: After a Manipulation Down, price rises above previous high. - Labels: "Distribution Up" or "Distribution Down" placed at detection. - Background: - Distribution Up: Purple color. - Distribution Down: Maroon color. - Action: Consider exiting positions or entering counter-trend trades. Configuring the Indicator - Timeframe Type: Select Auto, Multiplier, or Manual for analysis timeframe. - Multiplier: Set a custom multiplier when using "Multiplier" type. - Manual Resolution: Define a specific timeframe with "Manual" option. - Separator Settings: Customize period separators for visual clarity. - Label Display Options: Choose to display all labels or only the most recent. - Visualization Settings: Adjust colors and styles for personal preference. Practical Tips - Combine with Other Analysis Tools: Use alongside volume indicators, trend lines, or other technical tools. - Backtesting: Review historical data to understand how the indicator signals would have impacted past trades. - Stay Informed: Keep abreast of market news that might affect price movements beyond technical analysis. - Risk Management: Always employ stop-loss orders and position sizing strategies. Conclusion The ADM Indicator is a valuable tool for traders seeking to understand and leverage market phases. By detecting Accumulation, Manipulation, and Distribution phases through specific price action criteria, it provides actionable insights into market dynamics. Understanding the precise conditions under which each phase is detected empowers traders to make more informed decisions. Whether preparing for potential breakouts during accumulation, exercising caution during manipulation, or adjusting positions during distribution, the ADM Indicator aids in navigating the complexities of the financial markets. Disclaimer: The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. This indicator is inspired by the Super 6x Indicators: RSI, MACD, Stochastic, Loxxer, CCI, and Velocity . A special thanks to Loxx for their relentless effort, creativity, and contributions to the TradingView community, which served as a foundation for this work. Best regards Chervolino Overview of the Timeframe Levels in the `autotimeframe()` Function The `autotimeframe()` function automatically adjusts the higher timeframe based on the current chart timeframe. Here are the specific timeframe levels used in the function: - Current Timeframe ≤ 1 Minute → Higher Timeframe: 240 Minutes (4 Hours) - Current Timeframe ≤ 5 Minutes → Higher Timeframe: 1 Day - Current Timeframe ≤ 1 Hour → Higher Timeframe: 3 Days - Current Timeframe ≤ 4 Hours → Higher Timeframe: 7 Days - Current Timeframe ≤ 12 Hours → Higher Timeframe: 1 Month - Current Timeframe ≤ 1 Day → Higher Timeframe: 3 Months - Current Timeframe ≤ 7 Days → Higher Timeframe: 6 Months - For All Higher Timeframes (over 7 Days) → Higher Timeframe: 12 Months Summary: The function assigns a corresponding higher timeframe based on the current timeframe to optimize the analysis: - 1 Minute or Less → 4 Hours - Up to 5 Minutes → 1 Day - Up to 1 Hour → 3 Days - Up to 4 Hours → 7 Days - Up to 12 Hours → 1 Month - Up to 1 Day → 3 Months - Up to 7 Days → 6 Months - Over 7 Days → 12 Months This automated adjustment ensures that the indicator works effectively across different chart timeframes without requiring manual changes.
Pine Script™ indicator
by chervolino
MultiLayer Awesome Oscillator Saucer Strategy [Skyrexio]Overview MultiLayer Awesome Oscillator Saucer Strategy leverages the combination of Awesome Oscillator (AO), Williams Alligator, Williams Fractals and Exponential Moving Average (EMA) to obtain the high probability long setups. Moreover, strategy uses multi trades system, adding funds to long position if it considered that current trend has likely became stronger. Awesome Oscillator is used for creating signals, while Alligator and Fractal are used in conjunction as an approximation of short-term trend to filter them. At the same time EMA (default EMA's period = 100) is used as high probability long-term trend filter to open long trades only if it considers current price action as an uptrend. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades. Unique Features No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator to identify when current uptrend is likely to be over (more information in "Methodology" and "Justification of Methodology" paragraphs) Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions. Multilayer trades opening system: strategy uses only 10% of capital in every trade and open up to 5 trades at the same time if script consider current trend as strong one. Short and long term trend trade filters: strategy uses EMA as high probability long-term trend filter and Alligator and Fractal combination as a short-term one. Methodology The strategy opens long trade when the following price met the conditions: 1. Price closed above EMA (by default, period = 100). Crossover is not obligatory. 2. Combination of Alligator and Williams Fractals shall consider current trend as an upward (all details in "Justification of Methodology" paragraph) 3. Awesome Oscillator shall create the "Saucer" long signal (all details in "Justification of Methodology" paragraph). Buy stop order is placed one tick above the candle's high of last created "Saucer signal". 4. If price reaches the order price, long position is opened with 10% of capital. 5. If currently we have opened position and price creates and hit the order price of another one "Saucer" signal another one long position will be added to the previous with another one 10% of capital. Strategy allows to open up to 5 long trades simultaneously. 6. If combination of Alligator and Williams Fractals shall consider current trend has been changed from up to downtrend, all long trades will be closed, no matter how many trades has been opened. Script also has additional visuals. If second long trade has been opened simultaneously the Alligator's teeth line is plotted with the green color. Also for every trade in a row from 2 to 5 the label "Buy More" is also plotted just below the teeth line. With every next simultaneously opened trade the green color of the space between teeth and price became less transparent. Strategy settings In the inputs window user can setup strategy setting: EMA Length (by default = 100, period of EMA, used for long-term trend filtering EMA calculation). User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Let's go through all concepts used in this strategy to understand how they works together. Let's start from the easies one, the EMA. Let's briefly explain what is EMA. The Exponential Moving Average (EMA) is a type of moving average that gives more weight to recent prices, making it more responsive to current price changes compared to the Simple Moving Average (SMA). It is commonly used in technical analysis to identify trends and generate buy or sell signals. It can be calculated with the following steps: 1.Calculate the Smoothing Multiplier: Multiplier = 2 / (n + 1), Where n is the number of periods. 2. EMA Calculation EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier) In this strategy uses EMA an initial long term trend filter. It allows to open long trades only if price close above EMA (by default 50 period). It increases the probability of taking long trades only in the direction of the trend. Let's go to the next, short-term trend filter which consists of Alligator and Fractals. Let's briefly explain what do these indicators means. The Williams Alligator, developed by Bill Williams, is a technical indicator designed to spot trends and potential market reversals. It uses three smoothed moving averages, referred to as the jaw, teeth, and lips: Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead. Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward. Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward. When these lines diverge and are properly aligned, the "alligator" is considered "awake," signaling a strong trend. Conversely, when the lines overlap or intertwine, the "alligator" is "asleep," indicating a range-bound or sideways market. This indicator assists traders in identifying when to act on or avoid trades. The Williams Fractals, another tool introduced by Bill Williams, are used to pinpoint potential reversal points on a price chart. A fractal forms when there are at least five consecutive bars, with the middle bar displaying the highest high (for an up fractal) or the lowest low (for a down fractal), relative to the two bars on either side. Key Points: Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal. Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal. Traders often combine fractals with other indicators to confirm trends or reversals, improving the accuracy of trading decisions. How we use their combination in this strategy? Let’s consider an uptrend example. A breakout above an up fractal can be interpreted as a bullish signal, indicating a high likelihood that an uptrend is beginning. Here's the reasoning: an up fractal represents a potential shift in market behavior. When the fractal forms, it reflects a pullback caused by traders selling, creating a temporary high. However, if the price manages to return to that fractal’s high and break through it, it suggests the market has "changed its mind" and a bullish trend is likely emerging. The moment of the breakout marks the potential transition to an uptrend. It’s crucial to note that this breakout must occur above the Alligator's teeth line. If it happens below, the breakout isn’t valid, and the downtrend may still persist. The same logic applies inversely for down fractals in a downtrend scenario. So, if last up fractal breakout was higher, than Alligator's teeth and it happened after last down fractal breakdown below teeth, algorithm considered current trend as an uptrend. During this uptrend long trades can be opened if signal was flashed. If during the uptrend price breaks down the down fractal below teeth line, strategy considered that uptrend is finished with the high probability and strategy closes all current long trades. This combination is used as a short term trend filter increasing the probability of opening profitable long trades in addition to EMA filter, described above. Now let's talk about Awesome Oscillator's "Sauser" signals. Briefly explain what is the Awesome Oscillator. The Awesome Oscillator (AO), created by Bill Williams, is a momentum-based indicator that evaluates market momentum by comparing recent price activity to a broader historical context. It assists traders in identifying potential trend reversals and gauging trend strength. AO = SMA5(Median Price) − SMA34(Median Price) where: Median Price = (High + Low) / 2 SMA5 = 5-period Simple Moving Average of the Median Price SMA 34 = 34-period Simple Moving Average of the Median Price Now we know what is AO, but what is the "Saucer" signal? This concept was introduced by Bill Williams, let's briefly explain it and how it's used by this strategy. Initially, this type of signal is a combination of the following AO bars: we need 3 bars in a row, the first one shall be higher than the second, the third bar also shall be higher, than second. All three bars shall be above the zero line of AO. The price bar, which corresponds to third "saucer's" bar is our signal bar. Strategy places buy stop order one tick above the price bar which corresponds to signal bar. After that we can have the following scenarios. Price hit the order on the next candle in this case strategy opened long with this price. Price doesn't hit the order price, the next candle set lower low. If current AO bar is increasing buy stop order changes by the script to the high of this new bar plus one tick. This procedure repeats until price finally hit buy order or current AO bar become decreasing. In the second case buy order cancelled and strategy wait for the next "Saucer" signal. If long trades has been opened strategy use all the next signals until number of trades doesn't exceed 5. All trades are closed when the trend changes to downtrend according to combination of Alligator and Fractals described above. Why we use "Saucer" signals? If AO above the zero line there is a high probability that price now is in uptrend if we take into account our two trend filters. When we see the decreasing bars on AO and it's above zero it's likely can be considered as a pullback on the uptrend. When we see the stop of AO decreasing and the first increasing bar has been printed there is a high probability that this local pull back is finished and strategy open long trade in the likely direction of a main trend. Why strategy use only 10% per signal? Sometimes we can see the false signals which appears on sideways. Not risking that much script use only 10% per signal. If the first long trade has been open and price continue going up and our trend approximation by Alligator and Fractals is uptrend, strategy add another one 10% of capital to every next saucer signal while number of active trades no more than 5. This capital allocation allows to take part in long trades when current uptrend is likely to be strong and use only 10% of capital when there is a high probability of sideways. Backtest Results Operating window: Date range of backtests is 2023.01.01 - 2024.11.25. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 10% Maximum Single Position Loss: -5.10% Maximum Single Profit: +22.80% Net Profit: +2838.58 USDT (+28.39%) Total Trades: 107 (42.99% win rate) Profit Factor: 3.364 Maximum Accumulated Loss: 373.43 USDT (-2.98%) Average Profit per Trade: 26.53 USDT (+2.40%) Average Trade Duration: 78 hours These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 3h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Pine Script™ strategy
by Skyrexio
Range Expansion Predictor with Position SizingThe Range Expansion Predictor with Position Sizing is a trading tool that helps predict potential price movements based on the expansion of a market's range. It calculates the predicted high for future price action by analyzing the range of the previous day's candle and multiplying it by a user-defined multiplier. This predictor is combined with position sizing, allowing traders to determine the optimal trade size based on their account size and risk tolerance. The tool calculates the appropriate entry price, stop loss, and position size for both predicted price levels and the current close price, offering a comprehensive approach to managing risk and maximizing potential gains. It also displays these values in clear, visual tables, assisting traders in making informed decisions during their trading activities.
Pine Script™ indicator
by TraderMarketStudent
1
Ahr999 Index Buy/Sell Signals【Little_Turtle】 ===== 📊 AHR999 HODL Indicator 📊 ===== █  Overview The AHR999 indicator is designed as an auxiliary tool for Bitcoin dollar-cost averaging (DCA) users, aimed at helping users make rational investment decisions by combining timing strategies. This indicator reflects the potential short-term returns of Bitcoin DCA and reveals the deviation between the market price and the expected valuation of Bitcoin, providing users with clearer buy signals. In the long term, there is a certain positive correlation between Bitcoin prices and block height. Through DCA, users can effectively control short-term investment costs, allowing the average cost of their holdings to be lower than the current market price in most cases. The core function of the AHR999 indicator is to help users identify different market value zones and buy within reasonable price ranges, thereby optimizing investment costs and increasing returns. The AHR999 indicator is especially suitable for long-term value investors in Bitcoin. When the indicator is above 1, it indicates that Bitcoin's price is in a bull market and is rising. When the indicator is below 1, it indicates a reasonable cost averaging interval for investment. When the indicator is below 0.5, it suggests that Bitcoin's price is undervalued and in a relatively high-certainty bottoming zone. █  Concepts The AHR999 indicator consists of two sub-indicators: Bitcoin's 200-day average price cost The average cost is the geometric mean of Bitcoin's price over the past 200 days. Price estimate based on Bitcoin's age The estimated price is calculated using a logarithmic function based on Bitcoin's price history since 2010. The final formula is: AHR999 Indicator = (Close / GMA200) * (Close / Estimate Price) ===== ⚙️ Usage Instructions ⚙️ ===== High Value Zone (AHR999 < 0.5) When the AHR999 indicator is below 0.5, it indicates that the market price is at a relatively low level, which is considered the "high value zone." At this point, Bitcoin's price is relatively cheap, and it may be a good time to continuously buy on dips, gradually increasing the position and lowering the average cost. Investment Strategy : Buy on dips, accumulate more Bitcoin, and profit when the price rises in the future. DCA Zone (0.5 ≤ AHR999 < 1) When AHR999 crosses above 0.5 and is below 1, it indicates that the market price has returned above 0.5, falling within a more reasonable DCA range. At this point, regular and fixed investments can be made to further average out the buying cost. Investment Strategy : Make regular, fixed investments to keep long-term holding costs at a relatively reasonable level. Cautious Buying Zone (1 ≤ AHR999 < 2) When AHR999 crosses above 1 and is below 2, market sentiment starts to warm up, and caution is required. The price is gradually approaching or exceeding its long-term average level, which increases the risk. It is advisable to avoid large purchases and instead adopt a more conservative strategy, reducing new position expansion. Investment Strategy : Remain cautious, avoid blindly chasing prices, and wait for better buying opportunities. Bubble Zone (AHR999 ≥ 2) When AHR999 crosses above 1 and is greater than 2, market sentiment is extremely high, and the market may be in a bubble phase. At this point, Bitcoin's price has far exceeded its expected valuation, and the market is driven by FOMO (fear of missing out). Investors should avoid chasing prices and wait for the market to cool down before making decisions. Investment Strategy : Avoid chasing prices, refrain from over-speculating, and reduce new purchases or temporarily hold the position. Consider selling some low-cost holdings at an appropriate time. ===== 📄 Summary 📄 ===== The AHR999 indicator provides a relatively scientific framework for Bitcoin dollar-cost averaging (DCA), helping investors identify optimal buying opportunities across different market zones. By considering the specific performance of the market, investors can reasonably diversify risk, control investment costs, and avoid impulsive decisions during periods of market euphoria, thereby improving the probability of long-term investment success. ========== ⚠️ Usage Notes ⚠️ ========== Limitations of Historical Data: This model is based on historical price patterns and is intended to provide investors with some reference. However, historical data does not fully reflect future market trends, as the market is influenced by various complex factors such as policies, macroeconomics, and market sentiment. Therefore, this model should be used as a reference tool and not the sole basis for investment decisions. Thorough Research and Multi-Dimensional Decision-Making: Before making trading decisions, it is crucial to conduct thorough market research. It is recommended to combine technical analysis, fundamental analysis, and market trends to form a strategy. Relying on a single tool may lead to one-sided judgments, especially in uncertain market conditions. Always consider multiple sources of information. Errors and Uncertainty in Predictive Tools: All data-driven predictive tools, including the AHR999 indicator, have inherent errors. Market movements are not only influenced by historical patterns but can also be affected by unforeseen events, external economic changes, and other factors. Therefore, the results from this model should be approached with caution, and excessive reliance on them should be avoided. Risk Awareness and Management: All investments carry risk, especially in high-volatility markets. Predictive tools can help identify trends and opportunities, but they may also mislead decisions and lead to losses. When using this model, maintain a high level of risk awareness, properly allocate funds, and implement risk management measures such as setting stop-loss and take-profit orders to protect capital. Dynamic Adjustments and Changing Market Conditions: The market environment is dynamic and may change over time. Past patterns may not necessarily adapt to future volatility. Therefore, it is recommended that investors stay flexible when using this model, adjusting strategies according to real-time market changes. Avoid blindly following the signals provided by the indicator and refrain from over-relying on a single tool for decision-making.
Pine Script™ indicator
by Leisurely_Little_Turtle