Rozpocznij

Wskaźniki i strategie

Machine Learning Price Target Prediction Signals [AlgoAlpha]Introducing the Machine Learning Price Target Predictions, a cutting-edge trading tool that leverages kernel regression to provide accurate price targets and enhance your trading strategy. This indicator combines trend-based signals with advanced machine learning techniques, offering predictive insights into potential price movements. Perfect for traders looking to make data-driven decisions with confidence. What is Kernel Regression and How It Works Kernel regression is a non-parametric machine learning technique that estimates the relationship between variables by weighting data points based on their similarity to a given input. The similarity is determined using a kernel function, such as the Gaussian (RBF) kernel, which assigns higher weights to closer data points and progressively lower weights to farther ones. This allows the model to make smooth and adaptive predictions, balancing recent data and historical trends. Key Features 🎯 Predictive Price Targets : Uses kernel regression to estimate the magnitude of price movements. 📈 Dynamic Trend Analysis : Multiple trend detection methods, including EMA crossovers, Hull Moving Average, and SuperTrend. 🔧 Customizable Settings : Adjust bandwidth for kernel regression and tweak trend indicator parameters to suit your strategy. 📊 Visual Trade Levels : Displays take-profit and stop-loss levels directly on the chart with customizable colors. 📋 Performance Metrics : Real-time win rate, recommended risk-reward ratio, and training data size displayed in an on-chart table. 🔔 Alerts : Get notified for new trends, take-profit hits, and stop-loss triggers. How to Use 🛠 Add the Indicator : Add it to your favorites and apply it to your chart. Configure the trend detection method (SuperTrend, HMA, or EMA crossover) and other parameters based on your preferences. 📊 Analyze Predictions : Observe the predicted move size, recommended risk-reward ratio, and trend direction. Use the displayed levels for trade planning. 🔔 Set Alerts : Enable alerts for trend signals, take-profit hits, or stop-loss triggers to stay informed without constant monitoring. How It Works The indicator calculates features such as price volatility, relative strength, and trend signals, which are stored during training periods. When a trend change is detected, the kernel regression model predicts the likely price move based on these features. Predictions are smoothed using the specified bandwidth to avoid overfitting while ensuring timely responses to feature changes. Visualized take-profit and stop-loss levels help traders optimize risk management. Real-time metrics like win rate and recommended risk-reward ratios provide actionable insights for decision-making.
Wskaźnik Pine Script™
od AlgoAlpha
9
Red Pill VWAP/RSI DivergenceI created this indicator to identify moments in time VWAP and RSI are diverging. Ideally useful in strong trend, bullish or bearish, as a potential entry point on a pull back for continuation. Not to be used as a stand alone signal, but rather in conjunction with any possible trend/momentum strategy. VWAP is identified as the blue line. Green label(blue pill) is your potential entry on a pull back when price is above, stacked EMAS & VWAP for a long position. Red label(red pill) is your potential entry on a pull back when price is below inversely stacked EMAS & VWAP for a short position. These are the 2 ideal scenarios I have found. Please back test for yourself I have had great results but must emphasis this is not a stand alone buy/sell. I use it in confluence to add conviction to my current A+ setups. ***Pivot ribbon in chart created by Saty Mahajan set to 3/10 time warp works ideal in conjunction. ***please note false positive and false negative signals can occur, particularly in chop I hope you find this helpful . TRADE SAFE!
Wskaźnik Pine Script™
od Morpheus835
8
Trend Filter (2-pole) [BigBeluga]Trend Filter (2-pole) The Trend Filter (2-pole) is an advanced trend-following indicator based on a two-pole filter, which smooths out market noise while effectively highlighting trends and their strength. It incorporates color gradients and support/resistance dots to enhance trend visualization and decision-making for traders. SP500: 🔵What is a Two-Pole Filter? A two-pole filter is a digital signal processing technique widely used in electronics, control systems, and time series data analysis to smooth data and reduce noise. //@function Two-pole filter //@param src (series float) Source data (e.g., price) //@param length (float) Length of the filter (higher value means smoother output) //@param damping (float) Damping factor for the filter //@returns (series float) Filtered value method two_pole_filter(float src, int length, float damping) => // Calculate filter coefficients float omega = 2.0 * math.pi / length float alpha = damping * omega float beta = math.pow(omega, 2) // Initialize the filter variables var float f1 = na var float f2 = na // Update the filter f1 := nz(f1 ) + alpha * (src - nz(f1 )) f2 := nz(f2 ) + beta * (f1 - nz(f2 )) f2 It operates using two cascaded smoothing stages (poles), allowing for a more refined and responsive output compared to simple moving averages or other basic filters. Two-pole filters are particularly valued for their ability to maintain smooth transitions while reducing lag, making them ideal for applications where precision and responsiveness are critical. In trading, this filter helps detect trends by smoothing price data while preserving significant directional changes. 🔵Key Features of the Indicator: Gradient-Colored Trend Filter Line: The main filter line dynamically changes color based on trend strength and direction: - Green: Strong uptrend. - Red: Strong downtrend. - Yellow: Indicates a transition phase, signaling potential trend shifts. Support and Resistance Dots with Signals: - Dots are plotted below the filter line during uptrends and above it during downtrends. - These dots represent consecutive rising or falling conditions of the filter line, which traders can set in the settings (e.g., the number of consecutive rises or falls required). - The dots often act as dynamic support or resistance levels, providing valuable guidance during trends. - Trend Signals: Customizable Sensitivity: The indicator allows traders to adjust the filter length, damping factor, and the threshold for rising/falling conditions, enabling it to adapt to different trading styles and timeframes. Bar Color Option: The indicator can optionally color bars to match the gradient of the filter line, enhancing visual clarity of trends directly on the price chart. 🔵How It Works: The Trend Filter (2-pole) smooths price data using a two-pole filter, which reduces noise and highlights the underlying trend. The gradient coloring of the filter line helps traders visually assess the strength and direction of trends. Rising and falling conditions of the filter line are tracked, and dots are plotted when consecutive conditions meet the threshold, acting as potential support or resistance levels during trends. The yellow transition color signals periods of indecision, helping traders anticipate potential reversals or consolidations. 🔵Use Cases: Identify and follow strong uptrends and downtrends with gradient-based visual cues. Use the yellow transition color to anticipate trend shifts or consolidation zones. Leverage the plotted dots as dynamic support and resistance levels to refine entry and exit strategies. Combine with other indicators for confirmation of trends and reversals. This indicator is perfect for traders who want a visually intuitive and highly customizable tool to spot trends, gauge their strength, and make informed trading decisions.
Wskaźnik Pine Script™
od BigBeluga
4
Adaptive Fourier Transform Supertrend [QuantAlgo]Discover a brand new way to analyze trend with Adaptive Fourier Transform Supertrend by QuantAlgo , an innovative technical indicator that combines the power of Fourier analysis with dynamic Supertrend methodology. In essence, it utilizes the frequency domain mathematics and the adaptive volatility control technique to transform complex wave patterns into clear and high probability signals—ideal for both sophisticated traders seeking mathematical precision and investors who appreciate robust trend confirmation! 🟢 Core Architecture At its core, this indicator employs an adaptive Fourier Transform framework with dynamic volatility-controlled Supertrend bands. It utilizes multiple harmonic components that let you fine-tune how market frequencies influence trend detection. By combining wave analysis with adaptive volatility bands, the indicator creates a sophisticated yet clear framework for trend identification that dynamically adjusts to changing market conditions. 🟢 Technical Foundation The indicator builds on three innovative components: Fourier Wave Analysis: Decomposes price action into primary and harmonic components for precise trend detection Adaptive Volatility Control: Dynamically adjusts Supertrend bands using combined ATR and standard deviation Harmonic Integration: Merges multiple frequency components with decreasing weights for comprehensive trend analysis 🟢 Key Features & Signals The Adaptive Fourier Transform Supertrend transforms complex wave calculations into clear visual signals with: Dynamic trend bands that adapt to market volatility Sophisticated cloud-fill visualization system Strategic L/S markers at key trend reversals Customizable bar coloring based on trend direction Comprehensive alert system for trend shifts 🟢 Practical Usage Tips Here's how you can get the most out of the Adaptive Fourier Transform Supertrend : 1/ Setup: Add the indicator to your favorites, then apply it to your chart ⭐️ Start with close price as your base source Use standard Fourier period (14) for balanced wave detection Begin with default harmonic weight (0.5) for balanced sensitivity Start with standard Supertrend multiplier (2.0) for reliable band width 2/ Signal Interpretation: Monitor trend band crossovers for potential signals Watch for convergence of price with Fourier trend Use L/S markers for trade entry points Monitor bar colors for trend confirmation Configure alerts for significant trend reversals 🟢 Pro Tips Fine-tune Fourier parameters for optimal sensitivity: → Lower Base Period (8-12) for more reactive analysis → Higher Base Period (15-30) to filter out noise → Adjust Harmonic Weight (0.3-0.7) to control shorter trend influence Customize Supertrend settings: → Lower multiplier (1.5-2.0) for tighter bands → Higher multiplier (2.0-3.0) for wider bands → Adjust ATR length based on market volatility Strategy Enhancement: → Compare signals across multiple timeframes → Combine with volume analysis → Use with support/resistance levels → Integrate with other momentum indicators
Wskaźnik Pine Script™
od QuantAlgo
Jrols bullshitGamestop has had its fair share of grifters throughout the years, but none as blatant as JamesRoland x.com He's selling a "trigger indicator" taht is just fucking EMAs. I thought I'd provide the community with a free version because fuck him that's why. I'm sick and tired of bad actors taking advantage of people. Its not fancy with bullshit fades like his, but i don't fucking care. Run it and get the same "signals" as his bullshit paid indicator provides. How to Use the "Jrols Bullshit" Indicator in Pine Script This script is a custom indicator for TradingView that plots three different Exponential Moving Averages (EMAs) on the chart, each calculated from different timeframes: Daily, Weekly, and Monthly. These EMAs help identify long-term trends on different time scales. Key Features: Daily 40 EMA (calculated using a daily timeframe) Weekly 120 EMA (calculated using a weekly timeframe) Monthly 575 EMA (approximated using 575 periods on the daily chart) Each of these EMAs is plotted using a step line style, making it easy to see the level at which each EMA lies over time.
Wskaźnik Pine Script™
od bsmith80842069
3
Signals from Pawel Signals from Pawel is a trend-following indicator that generates buy and sell signals aligned with the prevailing trend, highlighting the principle: "Trend is your friend." Signals are triggered after a trend change is confirmed, using EMA crossovers (100 and 200 periods) as key indicators. When EMAs are widely separated, it indicates stronger trends with higher profit potential. Conversely, as EMAs converge, the trend weakens, increasing the likelihood of smaller gains or stop-loss triggers. For best results, prioritize signals shortly after a trend reversal, when EMA separation is more pronounced. This indicator is optimized for the 5-minute timeframe on XAU/USD but may also be effective for other currency pairs and timeframes.
Wskaźnik Pine Script™
od paweljan
SCE Price Action SuiteThis is an indicator designed to use past market data to mark key price action levels as well as provide a different kind of insight. There are 8 different features in the script that users can turn on and off. This description will go in depth on all 8 with chart examples. #1 Absorption Zones I defined Absorption Zones as follows. //---------------------------------------------- //---------------Absorption--------------------- //---------------------------------------------- box absorptionBox = na absorptionBar = ta.highest(bodySize, absorptionLkb) bsab = ta.barssince(bool(ta.change(absorptionBar))) if bsab == 0 and upBar and showAbsorption absorptionBox := box.new(left = bar_index - 1, top = close, right = bar_index + az_strcuture, bottom = open, border_color = color.rgb(0, 80, 75), border_width = boxLineSize, bgcolor = color.rgb(0, 80, 75)) absorptionBox else if bsab == 0 and downBar and showAbsorption absorptionBox := box.new(left = bar_index - 1, top = close, right = bar_index + az_strcuture, bottom = open, border_color = color.rgb(105, 15, 15), border_width = boxLineSize, bgcolor = color.rgb(105, 15, 15)) absorptionBox What this means is that absorption bars are defined as the bars with the largest bodies over a selected lookback period. Those large bodies represent areas where price may react. I was inspired by the concept of a Fair Value Gap for this concept. In that body price may enter to be a point of support or resistance, market participants get “absorbed” in the area so price can continue in whichever direction. #2 Candle Wick Theory/Strategy I defined Candle Wick Theory/Strategy as follows. //---------------------------------------------- //---------------Candle Wick-------------------- //---------------------------------------------- highWick = upBar ? high - close : downBar ? high - open : na lowWick = upBar ? open - low : downBar ? close - low : na upWick = upBar ? close + highWick : downBar ? open + highWick : na downWick = upBar ? open - lowWick : downBar ? close - lowWick : na downDelivery = upBar and downBar and high > upWick and highWick > lowWick and totalSize > totalSize and barstate.isconfirmed and session.ismarket upDelivery = downBar and upBar and low < downWick and highWick < lowWick and totalSize > totalSize and barstate.isconfirmed and session.ismarket line lG = na line lE = na line lR = na bodyMidpoint = math.abs(body) / 2 upWickMidpoint = math.abs(upWickSize) / 2 downWickkMidpoint = math.abs(downWickSize) / 2 if upDelivery and showCdTheory cpE = chart.point.new(time, bar_index - 1, downWickkMidpoint) cpE2 = chart.point.new(time, bar_index + bl, downWickkMidpoint) cpG = chart.point.new(time, bar_index + bl, downWickkMidpoint * (1 + tp)) cpR = chart.point.new(time, bar_index + bl, downWickkMidpoint * (1 - sl)) cpG1 = chart.point.new(time, bar_index - 1, downWickkMidpoint * (1 + tp)) cpR1 = chart.point.new(time, bar_index - 1, downWickkMidpoint * (1 - sl)) lG := line.new(cpG1, cpG, xloc.bar_index, extend.none, color.green, line.style_solid, 1) lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.white, line.style_solid, 1) lR := line.new(cpR1, cpR, xloc.bar_index, extend.none, color.red, line.style_solid, 1) lR else if downDelivery and showCdTheory cpE = chart.point.new(time, bar_index - 1, upWickMidpoint) cpE2 = chart.point.new(time, bar_index + bl, upWickMidpoint) cpG = chart.point.new(time, bar_index + bl, upWickMidpoint * (1 - tp)) cpR = chart.point.new(time, bar_index + bl, upWickMidpoint * (1 + sl)) cpG1 = chart.point.new(time, bar_index - 1, upWickMidpoint * (1 - tp)) cpR1 = chart.point.new(time, bar_index - 1, upWickMidpoint * (1 + sl)) lG := line.new(cpG1, cpG, xloc.bar_index, extend.none, color.green, line.style_solid, 1) lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.white, line.style_solid, 1) lR := line.new(cpR1, cpR, xloc.bar_index, extend.none, color.red, line.style_solid, 1) lR First I get the size of the wicks for the top and bottoms of the candles. This depends on if the bar is red or green. If the bar is green the wick is the high minus the close, if red the high minus the open, and so on. Next, the script defines the upper and lower bounds of the wicks for further comparison. If the candle is green, it's the open price minus the bottom wick. If the candle is red, it's the close price minus the bottom wick, and so on. Next we have the condition for when this strategy is present. Down delivery: Occurs when the previous candle is green, the current candle is red, and: The high of the current candle is above the upper wick of the previous candle. The size of the current candle's top wick is greater than its bottom wick. The total size of the previous candle is greater than the total size of the current candle. The current bar is confirmed (barstate.isconfirmed). The session is during market hours (session.ismarket). Up delivery: Occurs when the previous candle is red, the current candle is green, and: The low of the current candle is below the lower wick of the previous candle. The size of the current candle's bottom wick is greater than its top wick. The total size of the previous candle is greater than the total size of the current candle. The current bar is confirmed. The session is during market hours Then risk is plotted from the percentage that users can input from an ideal entry spot. #3 Candle Size Theory I defined Candle Size Theory as follows. //---------------------------------------------- //---------------Candle displacement------------ //---------------------------------------------- line lECD = na notableDown = bodySize > bodySize * candle_size_sensitivity and downBar and session.ismarket and barstate.isconfirmed notableUp = bodySize > bodySize * candle_size_sensitivity and upBar and session.ismarket and barstate.isconfirmed if notableUp and showCdSizeTheory cpE = chart.point.new(time, bar_index - 1, close) cpE2 = chart.point.new(time, bar_index + bl_strcuture, close) lECD := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.rgb(0, 80, 75), line.style_solid, 3) lECD else if notableDown and showCdSizeTheory cpE = chart.point.new(time, bar_index - 1, close) cpE2 = chart.point.new(time, bar_index + bl_strcuture, close) lECD := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.rgb(105, 15, 15), line.style_solid, 3) lECD This plots candles that are “notable” or out of the ordinary. Candles that are larger than the last by a value users get to specify. These candles' highs or lows, if they are green or red, act as levels for support or resistance. #4 Candle Structure Theory I defined Candle Structure Theory as follows. //---------------------------------------------- //---------------Structure---------------------- //---------------------------------------------- breakDownStructure = low < low and low < low and high > high and upBar and downBar and upBar and downBar and session.ismarket and barstate.isconfirmed breakUpStructure = low > low and low > low and high < high and downBar and upBar and downBar and upBar and session.ismarket and barstate.isconfirmed if breakUpStructure and showStructureTheory cpE = chart.point.new(time, bar_index - 1, close) cpE2 = chart.point.new(time, bar_index + bl_strcuture, close) lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.teal, line.style_solid, 3) lE else if breakDownStructure and showStructureTheory cpE = chart.point.new(time, bar_index - 1, open) cpE2 = chart.point.new(time, bar_index + bl_strcuture, open) lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.red, line.style_solid, 3) lE It is a series of candles to create a notable event. 2 lower lows in a row, a lower high, then green bar, red bar, green bar is a structure for a breakdown. 2 higher lows in a row, a higher high, red bar, green bar, red bar for a break up. #5 Candle Swing Structure Theory I defined Candle Swing Structure Theory as follows. //---------------------------------------------- //---------------Swing Structure---------------- //---------------------------------------------- line htb = na line ltb = na if totalSize * swing_struct_sense < totalSize and upBar and downBar and high > high and showSwingSturcture and session.ismarket and barstate.isconfirmed cpS = chart.point.new(time, bar_index - 1, high) cpE = chart.point.new(time, bar_index + bl_strcuture, high) htb := line.new(cpS, cpE, xloc.bar_index, color = color.red, style = line.style_dashed) htb else if totalSize * swing_struct_sense < totalSize and downBar and upBar and low > low and showSwingSturcture and session.ismarket and barstate.isconfirmed cpS = chart.point.new(time, bar_index - 1, low) cpE = chart.point.new(time, bar_index + bl_strcuture, low) ltb := line.new(cpS, cpE, xloc.bar_index, color = color.teal, style = line.style_dashed) ltb A bearish swing structure is defined as the last candle’s total size, times a scalar that the user can input, is less than the current candles. Like a size imbalance. The last bar must be green and this one red. The last high should also be less than this high. For a bullish swing structure the same size imbalance must be present, but we need a red bar then a green bar, and the last low higher than the current low. #6 Fractal Boxes I define the Fractal Boxes as follows //---------------------------------------------- //---------------Fractal Boxes------------------ //---------------------------------------------- box b = na int indexx = na if bar_index % (n * 2) == 0 and session.ismarket and showBoxes b := box.new(left = bar_index, top = topBox, right = bar_index + n, bottom = bottomBox, border_color = color.rgb(105, 15, 15), border_width = boxLineSize, bgcolor = na) indexx := bar_index + 1 indexx The idea of this strategy is that the market is fractal. It is considered impossible to be able to tell apart two different time frames from just the chart. So inside the chart there are many many breakouts and breakdowns happening as price bounces around. The boxes are there to give you the view from your timeframe if the market is in a range from a time frame that would be higher than it. Like if we are inside what a larger time frame candle’s range. If we break out or down from this, we might be able to trade it. Users can specify a lookback period and the box is that period’s, as an interval, high and low. I say as an interval because it is plotted every n * 2 bars. So we get a box, price moves, then a new box. #7 Potential Move Width I define the Potential Move Width as follows //---------------------------------------------- //---------------Move width--------------------- //---------------------------------------------- velocity = V(n) line lC = na line l = na line l2 = na line l3 = na line l4 = na line l5 = na line l6 = na line l7 = na line l8 = na line lGFractal = na line lRFractal = na cp2 = chart.point.new(time, bar_index + n, close + velocity) cp3 = chart.point.new(time, bar_index + n, close - velocity) cp4 = chart.point.new(time, bar_index + n, close + velocity * 5) cp5 = chart.point.new(time, bar_index + n, close - velocity * 5) cp6 = chart.point.new(time, bar_index + n, close + velocity * 10) cp7 = chart.point.new(time, bar_index + n, close - velocity * 10) cp8 = chart.point.new(time, bar_index + n, close + velocity * 15) cp9 = chart.point.new(time, bar_index + n, close - velocity * 15) cpG = chart.point.new(time, bar_index + n, close + R) cpR = chart.point.new(time, bar_index + n, close - R) if ((bar_index + n) * 2 - bar_index) % n == 0 and session.ismarket and barstate.isconfirmed and showPredictionWidtn cp = chart.point.new(time, bar_index, close) cpG1 = chart.point.new(time, bar_index, close + R) cpR1 = chart.point.new(time, bar_index, close - R) l := line.new(cp, cp2, xloc.bar_index, extend.none, color.aqua, line.style_solid, 1) l2 := line.new(cp, cp3, xloc.bar_index, extend.none, color.aqua, line.style_solid, 1) l3 := line.new(cp, cp4, xloc.bar_index, extend.none, color.red, line.style_solid, 1) l4 := line.new(cp, cp5, xloc.bar_index, extend.none, color.red, line.style_solid, 1) l5 := line.new(cp, cp6, xloc.bar_index, extend.none, color.teal, line.style_solid, 1) l6 := line.new(cp, cp7, xloc.bar_index, extend.none, color.teal, line.style_solid, 1) l7 := line.new(cp, cp8, xloc.bar_index, extend.none, color.blue, line.style_solid, 1) l8 := line.new(cp, cp9, xloc.bar_index, extend.none, color.blue, line.style_solid, 1) l8 By using the past n bar’s velocity, or directional speed, every n * 2 bars. I can use it to scale the close value and get an estimate for how wide the next moves might be. #8 Linear regression //---------------------------------------------- //---------------Linear Regression-------------- //---------------------------------------------- lr = showLR ? ta.linreg(close, n, 0) : na plot(lr, 'Linear Regression', color.blue) I used TradingView’s built in linear regression to not reinvent the wheel. This is present to see past market strength of weakness from a different perspective. User input Users can control a lot about this script. For the strategy based plots you can enter what you want the risk to be in percentages. So the default 0.01 is 1%. You can also control how far forward the line goes. Look back at where it is needed as well as line width for the Fractal Boxes are controllable. Also users can check on and off what they would like to see on the charts. No indicator is 100% reliable, do not follow this one blindly. I encourage traders to make their own decisions and not trade solely based on technical indicators. I encourage constructive criticism in the comments below. Thank you.
Wskaźnik Pine Script™
od ScorsoneEnterprises
Dynamic S/R Levels: Edge FinderOverview The Dynamic S/R Levels: Edge Finder indicator is designed to identify dynamic support and resistance levels based on historical price action. It uses a combination of price extremes (highs and lows) over user-defined lookback periods, weighted moving averages (WMAs), and touch-count analysis to provide actionable insights into key market levels. This tool is ideal for traders who want to: Identify dynamic support and resistance zones. Understand the strength of these levels based on price touches. Make informed decisions using clear, adaptive levels. How It Works Dynamic Levels Calculation: The indicator calculates dynamic support levels using the lowest lows and dynamic resistance levels using the highest highs over user-defined lookback periods (e.g., 20, 40, 60 bars, etc.). These levels are updated dynamically as new price data becomes available. Touch Count Analysis: The indicator counts how many times the price has touched or come close to each support/resistance level within the lookback period. Levels with more touches are considered stronger and are highlighted accordingly. Weighted Moving Averages (WMAs): The indicator uses 50-period and 100-period WMAs to identify the closest support/resistance levels to the current trend. Levels near these WMAs are given additional weight, as they are more likely to act as significant barriers. Level Merging: If two support or resistance levels are too close to each other (based on the minimum distance percentage), the weaker level (with fewer touches) is removed to avoid clutter. Visualization: Support levels are displayed as dashed red lines, and resistance levels are displayed as dashed blue lines. Each level is labeled with its corresponding touch count, allowing traders to quickly assess its strength. How to Interpret the Indicator Strong Support/Resistance Levels: Levels with higher touch counts (e.g., 5, 10, or more) are considered stronger and are more likely to hold in the future. Use these levels to plan entries, exits, or stop-loss placements. Proximity to WMAs: Levels closest to the 50-period or 100-period WMA are more significant, especially in trending markets. These levels often act as dynamic barriers where price reactions are more likely. Breakouts and Rejections: If the price breaks through a strong resistance level, it may indicate a potential bullish trend. If the price rejects a strong support level, it may indicate a potential bearish trend. Always confirm breakouts or rejections with additional analysis (e.g., volume, candlestick patterns). Level Merging: Merged levels indicate areas of high confluence, where multiple support/resistance zones overlap. These areas are particularly important for decision-making, as they represent stronger market reactions. Key Features Customizable Lookback Periods: Adjust the lookback periods for each dynamic level to suit your trading style. Touch Count Labels: Quickly identify the strength of each level based on the number of price touches. Adaptive Levels: The indicator dynamically updates levels based on recent price action. Clean Visualization: Levels are automatically merged to avoid clutter and provide a clear view of the market structure. Usage Tips Trend Identification: Combine the indicator with trend-following tools (e.g., moving averages, trendlines) to confirm the overall market direction. Risk Management: Use the identified levels to set stop-loss orders or take-profit targets. Timeframe Flexibility: The indicator works on all timeframes, but it is particularly effective on higher timeframes (e.g., 1H, 4H, Daily) for more reliable levels. Example Scenarios Bounce Trade: If the price approaches a strong support level (high touch count) and shows signs of rejection (e.g., bullish candlestick patterns), consider a long position with a stop-loss below the support level. Breakout Trade: If the price breaks above a strong resistance level with high volume, consider a long position with a target at the next resistance level. Range-Bound Market: In a sideways market, use the support and resistance levels to identify range boundaries and trade bounces between them. Disclaimer Dynamic S/R Levels: Edge Finder is a technical analysis tool designed to identify dynamic support and resistance levels based on historical price action. It is intended for informational and educational purposes only. This indicator does not provide financial, investment, or trading advice. Users are solely responsible for their trading decisions and should conduct their own research and analysis before making any trades. The developer of this tool is not liable for any financial losses or damages resulting from the use of this indicator. Trading in financial markets involves risk, and you should only trade with capital you can afford to lose.
Wskaźnik Pine Script™
od alwaysfree2021
1
Fusion Signal ProFusion Signal Pro Your All-in-One Trading Powerhouse Say goodbye to cluttered charts and hello to precision trading. Fusion Signal Pro is the ultimate tool for traders who want to simplify their strategy without sacrificing accuracy. By combining the power of RSI, Parabolic SAR, MACD, Stochastic Oscillator, and EMAs, this indicator delivers crystal-clear signals and actionable insights—all in one sleek package. What’s Under the Hood? Fusion Signal Pro integrates 5 powerhouse indicators into a single, easy-to-use tool: Relative Strength Index (RSI) Spot overbought and oversold conditions like a pro. Get buy signals when RSI crosses above the oversold zone and sell signals when it drops below overbought. Parabolic SAR Track trends and reversals with precision. Visualized directly on your chart for seamless trend analysis. MACD (Moving Average Convergence Divergence) Master momentum and trend strength. Buy/Sell signals trigger on crossovers between the MACD line and signal line. Stochastic Oscillator Gauge momentum and overbought/oversold levels. Toggle this feature on or off to keep your chart clean and focused. Exponential Moving Averages (EMAs) Short and long EMAs for trend confirmation. Use crossover signals for long-term strategies or trend-following setups. Why Fusion Signal Pro? Customizable AF: Tweak every setting to match your trading style—whether you’re a scalper, swing trader, or long-term investor. Clean & Focused: Enable or disable components to declutter your chart and focus on what matters. Flexible Display: Plot RSI, MACD, and Stochastic in a separate pane or keep them off the chart entirely. Pro-Level Precision: Designed to work seamlessly with Heikin-Ashi candles for smoother trends and sharper signals. Pro Tips for Maximum Gains Pair with Heikin-Ashi: For next-level trend clarity, use Fusion Signal Pro with Heikin-Ashi candles. They smooth out price action, making it easier to spot reversals and ride trends. Adjust for Timeframes: Shorter settings for scalping, longer settings for swing trading. Tweak for Volatility: Fine-tune overbought/oversold levels and EMA lengths to match market conditions. Key Settings Explained RSI Settings Length: Shorter = more sensitive; Longer = smoother. Overbought/Oversold Levels: Lower thresholds = earlier signals (but more noise). Parabolic SAR Settings Start, Increment, Maximum: Control sensitivity. Smaller values = less reactive; larger values = more responsive to trends. MACD Settings Fast/Slow Lengths: Shorter = faster signals (scalping); Longer = smoother signals (swing trading). Signal Length: Higher values = less noise but delayed signals. Stochastic Settings K & D Lengths: Shorter = faster signals; Longer = smoother signals. Overbought/Oversold Levels: Adjust for volatile markets. EMA Settings Short/Long Lengths: Short EMAs = quick reactions; Long EMAs = trend confirmation. Disclaimer Fusion Signal Pro is a powerful tool, but it’s not a crystal ball. Always combine it with solid risk management, additional analysis, and your trading instincts. Trade smart, stay sharp, and let Fusion Signal Pro guide your way.
Wskaźnik Pine Script™
od ShilpaChawla-pawellazikowski
MEMEQUANTMEMEQUANT This script is a comprehensive and specialized tool designed for tracking trends and money flow within meme coins and DEX tokens. By combining various features such as trend lines, Fibonacci levels, and category-based indices, it helps traders make informed decisions in highly volatile markets. Key Features: 1. Category-Based Indices: • Tracks the performance of token categories like: • AI Agent Tokens • AI Tokens • Animal Tokens • Murad Picks • Each category consists of leader tokens, which are selected based on their higher market cap and trading volume. These tokens act as benchmarks for their respective categories. • Visualizes category indices in a line chart to identify trends and compare money flow between categories. 2. Fibonacci Correction Zones: • Highlights key retracement levels (e.g., 60%, 70%, 80%). • These levels are crucial for identifying potential reversal zones, commonly observed in meme coin trading patterns. • Fully customizable to match individual trading strategies. 3. Trend Lines: • Automatically detects major support and resistance levels. • Separates long-term and short-term trend lines, allowing traders to focus on significant price movements. 4. Enhanced Info Table: • Provides real-time insights, including: • % Distance from All-Time High (ATH) • Current Trading Volume • 50-bar Average Volume • Volume Change Percentage • Displays information in an easy-to-read table on the chart. 5. Customizable Settings: • Users can adjust transparency, colors, and ranges for Fibonacci zones, trend lines, and the table. • Enables or disables individual features (e.g., Fibonacci, trend lines, table) based on preferences. How It Works: 1. Tracking Money Flow Across Categories: • The script calculates the market cap to volume ratio for each category of tokens to help identify the dominant trend. • A higher ratio indicates greater liquidity and stability, while a lower ratio suggests higher volatility or price manipulation. 2. Identifying Retracement Patterns: • Leverages common retracement behaviors (e.g., 70% correction levels) observed in meme coins to detect potential reversal zones. • Combines this with trend line analysis for additional confirmation. 3. Leader Tokens as Indicators: • Each category is represented by its leader tokens, which have historically higher liquidity and market cap. This allows the script to accurately reflect the overall trend in each category. When to Use: • Trend Analysis: To identify which category (e.g., AI Tokens or Animal Tokens) is leading the market. • Reversal Zones: To spot potential support or resistance levels using Fibonacci zones. • Money Flow: To understand how capital is moving across different token categories in real time. Who Is This For? This script is tailored for: • Traders specializing in meme coins and DEX tokens. • Those looking for an edge in trend-based trading by analyzing market cap, volume, and retracement levels. • Anyone aiming to track money flow dynamics between different token categories. Future Updates: This is the initial version of the script. Future updates may include: • Support for additional token categories and DEX data. • More advanced pattern recognition and alerts for volume and price anomalies. • Enhanced visualization for historical data trends. With this tool, traders can combine money flow analysis with the 60-70% retracement strategy, turning it into a powerful assistant for navigating the fast-paced world of meme coins and DEX tokens. This script is designed to provide meaningful insights and practical utility for traders, adhering to TradingView’s standards for originality, clarity, and user value.
Wskaźnik Pine Script™
od MEMEQUANTAI
2
ICT Dealing RangeICT Dealing Range This indicator identifies and plots ICT (Inner Circle Trader) Dealing Ranges - key institutional areas where smart money accumulates or distributes positions before significant moves. What is a Dealing Range? A Dealing Range is a significant price area where institutional traders accumulate or distribute their positions. These ranges form through a specific sequence of price movements that indicate institutional order flow: Bullish Dealing Range Sequence: 1. Initial High (H) 2. Initial Low (L) 3. Higher High (HH) 4. Lower Low (LL) 5. Break above HH (confirmation) Bearish Dealing Range Sequence: 1. Initial Low (L) 2. Initial High (H) 3. Lower Low (LL) 4. Higher High (HH) 5. Break below LL (confirmation) My Trading Strategy Entry Methods: 1. Range Extreme Retests: - After range formation, wait for price to return to either extreme - Long entries at range bottom with stops below - Short entries at range top with stops above 2. Mid-Line Strategy: - Use the mid-line as a pivot point for reversals - Long entries on mid-line bounce with stops below - Short entries on mid-line rejection with stops above Stop Loss Placement: - When entering at extremes: Place stops beyond the mid - When entering at mid-line: Place stops beyond the opposing extreme - Always respect the structure's boundaries Take Profit Targets: - Minimum 2:1 Risk-Reward ratio - For extreme entries: Target the opposite extreme - For mid-line entries: Target the nearest extreme Risk Management - Never enter without a clear invalidation point - Maintain minimum 2:1 RR ratio - Consider market structure and higher timeframe context Indicator Features - Auto-detection of dealing range patterns - Color-coded boxes (green for bullish, red for bearish) - Optional mid-line display - Customizable colors and styles - Adjustable pivot lookback periods Notes This tool is based on ICT concepts but should be used in conjunction with other forms of analysis. The dealing range provides a framework for understanding institutional order flow, but proper risk management and market context are essential for successful trading. Remember: The best trades often come from clean retests of these ranges after their initial formation. Patience in waiting for proper setups is key to successful implementation.
Wskaźnik Pine Script™
od mindyourbuisness
2
Candle 1 2 3 on XAUUSD (by Veronica)Description Discover the Candle 1 2 3 Strategy, a simple yet effective trading method tailored exclusively for XAUUSD on the 15-minute timeframe. Designed by Veronica, this strategy focuses on identifying key reversal and continuation patterns during the London and New York sessions, making it ideal for traders who prioritise high-probability entries during these active market hours. Key Features: 1. Session-Specific Trading: The strategy operates strictly during London (03:00–06:00 UTC) and New York (08:30–12:30 UTC) sessions, where XAUUSD tends to show higher volatility and clearer price movements. Pattern Criteria: - Works best if the first candle is NOT a pin bar or a doji. - Third candle should either: a. Be a marubozu (large body with minimal wicks). a. Have a significant body with wicks, ensuring the close of the third candle is above Candle 2 (for Buy) or below Candle 2 (for Sell). Callout Labels and Alerts: Automatic Buy and Sell labels are displayed on the chart during qualifying sessions, ensuring clarity for decision-making. Integrated alerts notify you of trading opportunities in real-time. Risk Management: Built-in Risk Calculator to estimate lot sizes based on your account size, risk percentage, and stop-loss levels. Customizable Table: Displays your calculated lot size for various stop-loss pip values, making risk management seamless and efficient. How to Use: 1. Apply the indicator to XAUUSD (M15). 2. Focus on setups appearing within the London and New York sessions only. 3. Ensure the first candle is neither a pin bar nor a doji. 4. Validate the third candle's body placement: For a Buy, the third candle’s close must be above the second candle. For a Sell, the third candle’s close must be below the second candle. 5. Use the generated alerts to streamline your entry process. Notes: This strategy is meant to complement your existing knowledge of market structure and price action. Always backtest thoroughly and adjust parameters to fit your personal trading style and risk tolerance. Credit: This strategy is the intellectual property of Veronica, developed specifically for XAUUSD (M15) traders seeking precision entries during high-volume sessions.
Wskaźnik Pine Script™
od LightNCI
Market Structure CHoCH/BOS (Fractal) [vandji]Explication de la stratégie Market Structure CHoCH/BOS (Fractal) Introduction La stratégie Market Structure CHoCH/BOS (Fractal) est conçue pour analyser les structures de marché en identifiant les changements de caractère (Change of Character - CHoCH) et les cassures de structure (Break of Structure - BOS) basées sur des fractales. Cette approche permet aux traders de repérer les renversements de tendance ainsi que la continuation de celle-ci à l'aide d'un outil visuel intuitif et de niveaux clés marqués directement sur le graphique. Fonctionnement de l'indicateur L'indicateur utilise des fractales pour identifier des points hauts et bas significatifs dans le marché. Ces points permettent de : Identifier les structures haussières (Bullish) : Une cassure d'un sommet fractal indique une continuation ou un renversement haussier. Des niveaux de support sont tracés pour repérer les zones où le prix peut rebondir. Identifier les structures baissières (Bearish) : Une cassure d'un bas fractal signale une continuation ou un renversement baissier. Des niveaux de résistance sont tracés pour surveiller les zones où le prix peut se retourner. L'indicateur utilise également des labels visuels tels que CHoCH et BOS : CHoCH (Change of Character) : Indique un changement de tendance. BOS (Break of Structure) : Confirme la continuation de la tendance. Visualisation des Niveaux Clés Support : Tracé lorsque la structure haussière est identifiée. Résistance : Tracée lorsque la structure baissière est détectée. Ces niveaux servent de repères pour placer des ordres ou évaluer la force de la tendance. Avantages Identification claire des tendances : Les CHoCH et BOS aident à distinguer les renversements des continuations. Zones clés définies : Les supports et résistances fractals donnent des points d'entrée ou de sortie potentiels. Convient aux styles variés de trading : Applicable pour le scalping, le day trading ou le swing trading. Exemple Visuel Graphique annoté L'image suivante illustre le fonctionnement de l'indicateur sur un graphique. Les sommets fractals haussiers et baissiers sont marqués. Les niveaux de support et de résistance sont dessinés. Les labels CHoCH et BOS indiquent des points importants de renversement ou de continuation.
Wskaźnik Pine Script™
od djoutrou
Multi Timeframe Market Formation [LuxAlgo]The Multi Timeframe Market Formation tool allows traders to analyze up to 6 different timeframes simultaneously to discover their current formation, S/R levels and their degree of synchronization with the current chart timeframe. Multi timeframe analysis made easy. 🔶 USAGE By default, the tool displays the chart's timeframe formation plus up to 5 other formations on timeframes higher than the one in the chart. When the chart formation is synchronized with any enabled timeframe formation, the tool displays labels and a trailing channel, it uses a gradient by default, so the more timeframes are synchronized, the more visible the labels and the trailing channel are. All timeframes enabled in the settings panel must be higher than the chart timeframe, otherwise the tool will display an error message. 🔹 Formations A formation is a market structure defined by a lower and an upper boundary (also known as support & resistance). Each formation has a different symbol and color to identify it at a glance. It helps traders to know the current market behavior and the tool displays up to 5 of them. BULLISH (green ▲): higher high and higher low BEARISH (red ▼): lower high and lower low CONTRACTION (orange ◀): lower high and higher low EXPANSION (blue ▶): higher high and lower low SIDEWAYS (yellow ◀): Any that does not fit with the others 🔹 Multi Timeframe Formations The tool displays up to 6 different timeframe formations, the chart timeframe plus 5 more configurable from the settings panel. Each of them has an upper and lower limit, a timeframe, a color and an icon. If a bound level is shared by more than one formation, the timeframes and symbols are displayed on the same line. These are significant levels shared by different timeframes and traders need to be aware of them. 🔹 Sync With Chart Timeframe If the current formation on the chart timeframe is in sync with any of the timeframes enabled in the settings panel, the tool will display this on the chart. The more timeframes are in sync, the more they are visible, providing a clear visual representation of the common market behavior on multiple timeframes at the same time. 🔶 SETTINGS Formation size: Size of market formations on the chart timeframe 🔹 Timeframes TF1 to TF5: Activate/deactivate timeframe, set size of market formation and activate/deactivate high and low levels 🔹 Style Show Labels: Enable/Disable Timeframe Sync Labels Transparency Gradient: Enable/Disable Transparency Gradient Show Trailing Channel | Multiplier: Enable/Disable Trailing Channel and set multiplier Color for each formation
Wskaźnik Pine Script™
od LuxAlgo
8
Imbalance Imbalance Detection: Bullish Imbalance: Occurs when the high of the bar two periods ago is lower than the low of the current bar, indicating a possible reversal to the upside. Bearish Imbalance: Occurs when the high of the current bar is lower than the low of the bar two periods ago, indicating a potential reversal to the downside. Visual Highlighting: The script changes the color of the previous bar (one bar before the imbalance) based on whether a bullish or bearish imbalance is detected. Users can customize the color for both bullish and bearish imbalances to suit their preferences. User Inputs: Show Imbalance: Option to toggle the visibility of the imbalance signals on the chart. Color Customization: Users can choose custom colors for bullish and bearish imbalances, allowing for easy distinction between the two types. Alert Conditions: The script includes pre-configured alert conditions for both bullish and bearish imbalances, notifying traders when an imbalance is detected, which can be useful for triggering trades or further analysis.
Wskaźnik Pine Script™
od Hare_Krishna_1000000000
1