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Market Stats Panel [Daveatt]█ Introduction I've created a script that brings TradingView's watchlist stats panel functionality directly to your charts. This isn't just another performance indicator - it's a pixel-perfect (kidding) recreation of TradingView's native stats panel. Important Notes You might need to adjust manually the scaling the firs time you're using this script to display nicely all the elements. █ Core Features Performance Metrics The panel displays key performance metrics (1W, 1M, 3M, 6M, YTD, 1Y) in real-time, with color-coded boxes (green for positive, red for negative) for instant performance assessment. Display Modes Switch seamlessly between absolute prices and percentage returns, making it easy to compare assets across different price scales. Absolute mode Percent mode Historical Comparison View year-over-year performance with color-coded lines, allowing for quick historical pattern recognition and analysis. Data Structure Innovation Let's talk about one of the most interesting challenges I faced. PineScript has this quirky limitation where request.security() can only return 127 tuples at most. £To work around this, I implemented a dual-request system. The first request handles indices 0-63, while the second one takes care of indices 64-127. 
 This approach lets us maintain extensive historical data without compromising script stability. And here's the cool part: if you need to handle even more years of historical data, you can simply extend this pattern by adding more request.security() calls. 
 Each additional call can fetch another batch of monthly open prices and timestamps, following the same structure I've used. 
 Think of it as building with LEGO blocks - you can keep adding more pieces to extend your historical reach. Flexible Date Range Unlike many scripts that box you into specific timeframes, I've designed this one to be completely flexible with your date selection. You can set any start year, any end year, and the script will dynamically scale everything to match. The visual presentation automatically adjusts to whatever range you choose, ensuring your data is always displayed optimally. █ Customization Options Visual Settings The panel's visual elements are highly customizable. You can adjust the panel width to perfectly fit your workspace, fine-tune the line thickness to match your preferences, and enjoy the pre-defined year color scheme that makes tracking historical performance intuitive and visually appealing. Box Dimensions Every aspect of the performance boxes can be tailored to your needs. Adjust their height and width, fine-tune the spacing between them, and position the entire panel exactly where you want it on your chart. The goal is to make this tool feel like it's truly yours. █ Technical Challenges Solved Polyline Precision Creating precise polylines was perhaps the most demanding aspect of this project. The challenge was ensuring accurate positioning across both time and price axes, while handling percentage mode scaling with precision. The script constantly updates the current year's data in real-time, seamlessly integrating new information as it comes in. Axis Management Getting the axes right was like solving a complex puzzle. The Y-axis needed to scale dynamically whether you're viewing absolute prices or percentages. The X-axis required careful month labeling that stays clean and readable regardless of your selected timeframe. Everything needed to align perfectly while maintaining proper spacing in all conditions. █ Final Notes This tool transforms complex market data into clear, actionable insights. Whether you're day trading or analyzing long-term trends, it provides the information you need to make informed decisions. And remember, while we can't predict the future, we can certainly be better prepared for it with the right tools at hand. A word of warning though - seeing those red numbers in a beautifully formatted panel doesn't make them any less painful! 😉 --- Happy Trading! May your charts be green and your stops be far away! Daveatt
Indicador Pine Script®
por Daveatt
21
EMD Oscillator (Zeiierman)█ Overview The Empirical Mode Decomposition (EMD) Oscillator is an advanced indicator designed to analyze market trends and cycles with high precision. It breaks down complex price data into simpler parts called Intrinsic Mode Functions (IMFs), allowing traders to see underlying patterns and trends that aren’t visible with traditional indicators. The result is a dynamic oscillator that provides insights into overbought and oversold conditions, as well as trend direction and strength. This indicator is suitable for all types of traders, from beginners to advanced, looking to gain deeper insights into market behavior. █ How It Works The core of this indicator is the Empirical Mode Decomposition (EMD) process, a method typically used in signal processing and advanced scientific fields. It works by breaking down price data into various “layers,” each representing different frequencies in the market’s movement. Imagine peeling layers off an onion: each layer (or IMF) reveals a different aspect of the price action. ⚪ Data Decomposition (Sifting): The indicator “sifts” through historical price data to detect natural oscillations within it. Each oscillation (or IMF) highlights a unique rhythm in price behavior, from rapid fluctuations to broader, slower trends. ⚪ Adaptive Signal Reconstruction: The EMD Oscillator allows traders to select specific IMFs for a custom signal reconstruction. This reconstructed signal provides a composite view of market behavior, showing both short-term cycles and long-term trends based on which IMFs are included. ⚪ Normalization: To make the oscillator easy to interpret, the reconstructed signal is scaled between -1 and 1. This normalization lets traders quickly spot overbought and oversold conditions, as well as trend direction, without worrying about the raw magnitude of price changes. The indicator adapts to changing market conditions, making it effective for identifying real-time market cycles and potential turning points. █ Key Calculations: The Math Behind the EMD Oscillator The EMD Oscillator’s advanced nature lies in its high-level mathematical operations: ⚪ Intrinsic Mode Functions (IMFs) IMFs are extracted from the data and act as the building blocks of this indicator. Each IMF is a unique oscillation within the price data, similar to how a band might be divided into treble, mid, and bass frequencies. In the EMD Oscillator: Higher-Frequency IMFs: Represent short-term market “noise” and quick fluctuations. Lower-Frequency IMFs: Capture broader market trends, showing more stable and long-term patterns. ⚪ Sifting Process: The Heart of EMD The sifting process isolates each IMF by repeatedly separating and refining the data. Think of this as filtering water through finer and finer mesh sieves until only the clearest parts remain. Mathematically, it involves: Extrema Detection: Finding all peaks and troughs (local maxima and minima) in the data. Envelope Calculation: Smoothing these peaks and troughs into upper and lower envelopes using cubic spline interpolation (a method for creating smooth curves between data points). Mean Removal: Calculating the average between these envelopes and subtracting it from the data to isolate one IMF. This process repeats until the IMF criteria are met, resulting in a clean oscillation without trend influences. ⚪ Spline Interpolation The cubic spline interpolation is an advanced mathematical technique that allows smooth curves between points, which is essential for creating the upper and lower envelopes around each IMF. This interpolation solves a tridiagonal matrix (a specialized mathematical problem) to ensure that the envelopes align smoothly with the data’s natural oscillations. To give a relatable example: imagine drawing a smooth line that passes through each peak and trough of a mountain range on a map. Spline interpolation ensures that line is as smooth and close to reality as possible. Achieving this in Pine Script is technically demanding and demonstrates a high level of mathematical coding. ⚪ Amplitude Normalization To make the oscillator more readable, the final signal is scaled by its maximum amplitude. This amplitude normalization brings the oscillator into a range of -1 to 1, creating consistent signals regardless of price level or volatility. █ Comparison with Other Signal Processing Methods Unlike standard technical indicators that often rely on fixed parameters or pre-defined mathematical functions, the EMD adapts to the data itself, capturing natural cycles and irregularities in real-time. For example, if the market becomes more volatile, EMD adjusts automatically to reflect this without requiring parameter changes from the trader. In this way, it behaves more like a “smart” indicator, intuitively adapting to the market, unlike most traditional methods. EMD’s adaptive approach is akin to AI’s ability to learn from data, making it both resilient and robust in non-linear markets. This makes it a great alternative to methods that struggle in volatile environments, such as fixed-parameter oscillators or moving averages. █ How to Use Identify Market Cycles and Trends: Use the EMD Oscillator to spot market cycles that represent phases of buying or selling pressure. The smoothed version of the oscillator can help highlight broader trends, while the main oscillator reveals immediate cycles. Spot Overbought and Oversold Levels: When the oscillator approaches +1 or -1, it may indicate that the market is overbought or oversold, signaling potential entry or exit points. Confirm Divergences: If the price movement diverges from the oscillator's direction, it may indicate a potential reversal. For example, if prices make higher highs while the oscillator makes lower highs, it could be a sign of weakening trend strength. █ Settings Window Length (N): Defines the number of historical bars used for EMD analysis. A larger window captures more data but may slow down performance. Number of IMFs (M): Sets how many IMFs to extract. Higher values allow for a more detailed decomposition, isolating smaller cycles within the data. Amplitude Window (L): Controls the length of the window used for amplitude calculation, affecting the smoothness of the normalized oscillator. Extraction Range (IMF Start and End): Allows you to select which IMFs to include in the reconstructed signal. Starting with lower IMFs captures faster cycles, while ending with higher IMFs includes slower, trend-based components. Sifting Stopping Criterion (S-number): Sets how precisely each IMF should be refined. Higher values yield more accurate IMFs but take longer to compute. Max Sifting Iterations (num_siftings): Limits the number of sifting iterations for each IMF extraction, balancing between performance and accuracy. Source: The price data used for the analysis, such as close or open prices. This determines which price movements are decomposed by the indicator. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Indicador Pine Script®
por Zeiierman
6
FVG Instantaneous Mitigation Signals [LuxAlgo]The FVG Instantaneous Mitigation Signals indicator detects and highlights "instantaneously" mitigated fair value gaps (FVG), that is FVGs that get mitigated one bar after their creation, returning signals upon mitigation. Take profit/stop loss areas, as well as a trailing stop loss are also included to complement the signals. 🔶 USAGE Instantaneous Fair Value Gap mitigation is a new concept introduced in this script and refers to the event of price mitigating a fair value gap one bar after its creation. The resulting signal sentiment is opposite to the bias of the mitigated fair value gap. As such an instantaneously mitigated bearish FGV results in a bullish signal, while an instantaneously mitigated bullish FGV results in a bearish signal. Fair value gap areas subject to instantaneous mitigation are highlighted alongside their average level, this level is extended until reached in a direction opposite to the FVG bias and can be used as a potential support/resistance level. Users can filter out less volatile fair value gaps using the "FVG Width Filter" setting, with higher values highlighting more volatile fair value gaps subject to instantaneous mitigation. 🔹 TP/SL Areas Users can enable take-profit/stop-loss areas. These are displayed upon a new signal formation, with an area starting from the mitigated FVG area average to this average plus/minus N ATRs, where N is determined by their respective multiplier settings. Using a higher multiplier will return more distant areas from the price, requiring longer-term variations to be reached. 🔹 Trailing Stop Loss A trailing-stop loss is included, increasing when the price makes a new higher high or lower low since the trailing has been set. Using a higher trailing stop multiplier will allow its initial position to be further away from the price, reducing its chances of being hit. The trailing stop can be reset on "Every Signal", whether they are bullish or bearish, or only on an "Inverse Signal", which will reset the trailing when a signal of opposite bias is detected, this will preserve an existing trailing stop when a new signal of the same bias to the present one is detected. 🔶 DETAILS Fair Value Gaps are ubiquitous to price action traders. These patterns arise when there exists a disparity between supply and demand. The action of price coming back and filling these imbalance areas is referred to as "mitigation" or "rebalancing". "Instantaneous mitigation" refers to the event of price quickly mitigating a prior fair value gap, which in the case of this script is one bar after their creation. These events are indicative of a market more attentive to imbalances, and more willing to correct disparities in supply and demand. If the market is particularly sensitive to imbalances correction then these can be excessively corrected, leading to further imbalances, highlighting a potential feedback process. 🔶 SETTINGS FVG Width Filter: Filter out FVGs with thinner areas from returning a potential signal. 🔹 TP/SL TP Area: Enable take-profit areas for new signals. Multiplier: Control the distance from the take profit and the price, with higher values returning more distant TP's. SL Area: Enable stop-loss areas for new signals. Multiplier: Control the distance from the stop loss and the price, with higher values returning more distant SL's. 🔹 Trailing Stop Reset Trailing Stop: Determines when the trailing stop is reset. Multiplier: Controls the initial position of the trailing stop, with higher values returning more distant trailing stops.
Indicador Pine Script®
por LuxAlgo
28
Adaptive Trend Finder (log)In the dynamic landscape of financial markets, the Adaptive Trend Finder (log) stands out as an example of precision and professionalism. This advanced tool, equipped with a unique feature, offers traders a sophisticated approach to market trend analysis: the choice between automatic detection of the long-term or short-term trend channel. Key Features: 1. Choice Between Long-Term or Short-Term Trend Channel Detection: Positioned first, this distinctive feature of the Adaptive Trend Finder (log) allows traders to customize their analysis by choosing between the automatic detection of the long-term or short-term trend channel. This increased flexibility adapts to individual trading preferences and changing market conditions. 2. Autonomous Trend Channel Detection: Leveraging the robust statistical measure of the Pearson coefficient, the Adaptive Trend Finder (log) excels in autonomously locating the optimal trend channel. This data-driven approach ensures objective trend analysis, reducing subjective biases, and enhancing overall precision. 3. Precision of Logarithmic Scale: A distinctive characteristic of our indicator is its strategic use of the logarithmic scale for regression channels. This approach enables nuanced analysis of linear regression channels, capturing the subtleties of trends while accommodating variations in the amplitude of price movements. 4. Length and Strength Visualization: Traders gain a comprehensive view of the selected trend channel, with the revelation of its length and quantification of trend strength. These dual pieces of information empower traders to make informed decisions, providing insights into both the direction and intensity of the prevailing trend. In the demanding universe of financial markets, the Adaptive Trend Finder (log) asserts itself as an essential tool for traders, offering an unparalleled combination of precision, professionalism, and customization. Highlighting the choice between automatic detection of the long-term or short-term trend channel in the first position, this indicator uniquely caters to the specific needs of each trader, ensuring informed decision-making in an ever-evolving financial environment.
Indicador Pine Script®
por Julien_Eche
216
2Rsi buy & sell & candlesticks patterns in rsi[Trader's Journal]An Ingenious Trading Indicator: RSI, Japanese Candlesticks, and Buy/Sell Signals The world of trading is a subtle game of analysis, where the smallest piece of information can make the difference between success and failure. In this perpetual quest to anticipate market movements, one indicator stands out: the Relative Strength Index (RSI), a powerful tool that measures the strength of price movements. However, RSI alone may not always suffice for informed trading decisions. This is where our indicator comes into play, adding a new dimension to your analysis. The indicator skillfully combines RSI with Japanese candlesticks, those small candles rich in market movement information. The goal is clear: to generate buy and sell signals during trend reversals while keeping a keen eye on overbought and oversold zones. RSI: Guardian of Extremes The RSI is a basic tool that measures buying and selling pressure on an asset. It oscillates between 0 and 100, signaling overbought levels when the RSI exceeds 70 and oversold levels below 30. These extreme zones are often the stage for trend reversals, but timing is crucial. Japanese Candlesticks: Messengers of the Market Japanese candlesticks are more than just candles on a chart. They depict market emotions, reflecting the ongoing struggle between buyers and sellers. Trend reversals are typically heralded by specific candlestick patterns such as the Bearish Engulfing, Evening Star, or Inverted Hammer. These candlesticks act as powerful visual signals. The Indicator in Action: Timing and Confirmation When the RSI reaches the overbought zone (above 70) or oversold zone (below 30), our indicator is on alert. This is when vigilance is at its peak. However, buy and sell signals don't occur automatically. They await confirmation from Japanese candlesticks. For a sell signal, the indicator awaits an exit from the overbought zone, followed by a bearish reversal candlestick. When these conditions are met, the sell signal is triggered. For a buy signal, the process is similar, but upon exiting the oversold zone and in the presence of a bullish candlestick. The Elegance of the Combination The beauty of this indicator lies in its ability to combine RSI analysis with the power of Japanese candlesticks. It doesn't just predict trend reversals, it does so elegantly, demanding visual confirmation, thus avoiding false signals. As the market moves relentlessly, this indicator is your ally for making informed decisions. It reminds you that the wisdom of trading lies in combining different analytical tools to decipher the mysteries of the financial market. Envelop your trading strategies with this indicator, and witness how it can illuminate your path to success.
Indicador Pine Script®
por SESE04
2
Open Interest Chart [LuxAlgo]The Open Interest Chart displays Commitments of Traders %change of futures open interest , with a unique circular plotting technique, inspired from this publication Periodic Ellipses . 🔶 USAGE Open interest represents the total number of contracts that have been entered by market participants but have not yet been offset or delivered. This can be a direct indicator of market activity/liquidity, with higher open interest indicating a more active market. Increasing open interest is highlighted in green on the circular plot, indicating money coming into the market, while decreasing open interests highlighted in red indicates money coming out of the market. You can set up to 6 different Futures Open interest tickers for a quick follow up: 🔶 DETAILS Circles are drawn, using plot() , with the functions createOuterCircle() (for the largest circle) and createInnerCircle() (for inner circles). Following snippet will reload the chart, so the circles will remain at the right side of the chart: if ta.change(chart.left_visible_bar_time ) or ta.change(chart.right_visible_bar_time) n := bar_index Here is a snippet which will draw a 39-bars wide circle that will keep updating its position to the right. //@version=5 indicator("") n = bar_index barsTillEnd = last_bar_index - n if ta.change(chart.left_visible_bar_time ) or ta.change(chart.right_visible_bar_time) n := bar_index createOuterCircle(radius) => var int end = na var int start = na var basis = 0. barsFromNearestEdgeCircle = 0. barsTillEndFromCircleStart = radius startCylce = barsTillEnd % barsTillEndFromCircleStart == 0 // start circle bars = ta.barssince(startCylce) barsFromNearestEdgeCircle := barsTillEndFromCircleStart -1 basis := math.min(startCylce ? -1 : basis + 1 / barsFromNearestEdgeCircle * 2, 1) // 0 -> 1 shape = math.sqrt(1 - basis * basis) rad = radius / 2 isOK = barsTillEnd <= barsTillEndFromCircleStart and barsTillEnd > 0 hi = isOK ? (rad + shape * radius) - rad : na lo = isOK ? (rad - shape * radius) - rad : na start := barsTillEnd == barsTillEndFromCircleStart ? n -1 : start end := barsTillEnd == 0 ? start + radius : end = createOuterCircle(40) plot(h), plot(l) 🔶 LIMITATIONS Due to the inability to draw between bars, from time to time, drawings can be slightly off. Bar-replay can be demanding, since it has to reload on every bar progression. We don't recommend using this script on bar-replay. If you do, please choose the lowest speed and from time to time pause bar-replay for a second. You'll see the script gets reloaded. 🔶 SETTINGS 🔹 TICKERS Toggle :     • Enabled  -> uses the first column with a pre-filled list of Futures Open Interest tickers/symbols     • Disabled -> uses the empty field where you can enter your own ticker/symbol Pre-filled list : the first column is filled with a list, so you can choose your open interest easily, otherwise you would see COT:088691_F_OI aka Gold Futures Open Interest for example.      If applicable, you will see 3 different COT data:     • COT: Legacy Commitments of Traders report data     • COT2: Disaggregated Commitments of Traders report data     • COT3: Traders in Financial Futures report data Empty field : When needed, you can pick another ticker/symbol in the empty field at the right and disable the toggle. Timeframe : Commitments of Traders (COT) data is tallied by the Commodity ​Futures Trading Commission (CFTC) and is published weekly. Therefore data won't change every day.      Default set TF is Daily 🔹 STYLE From middle:     • Enabled (default): Drawings start from the middle circle -> towards outer circle is + %change , towards middle of the circle is - %change     • Disabled: Drawings start from the middle POINT of the circle, towards outer circle is + OR -     -> in both options, + %change will be coloured green , - %change will be coloured red .     -> 0 %change will be coloured blue , and when no data is available, this will be coloured gray . Size circle : options tiny, small, normal, large, huge. Angle : Only applicable if "From middle" is disabled!     -> sets the angle of the spike: Show Ticker : Name of ticker, as seen in table, will be added to labels. Text - fill     • Sets colour for +/- %change Table     • Sets 2 text colours, size and position Circles     • Sets the colour of circles, style can be changed in the Style section.        You can make it as crazy as you want:
Indicador Pine Script®
por LuxAlgo
23
Webhook Starter Kit [HullBuster] Introduction This is an open source strategy which provides a framework for webhook enabled projects. It is designed to work out-of-the-box on any instrument triggering on an intraday bar interval. This is a full featured script with an emphasis on actual trading at a brokerage through the TradingView alert mechanism and without requiring browser plugins. The source code is written in a self documenting style with clearly defined sections. The sections “communicate” with each other through state variables making it easy for the strategy to evolve and improve. This is an excellent place for Pine Language beginners to start their strategy building journey. The script exhibits many Pine Language features which will certainly ad power to your script building abilities. This script employs a basic trend follow strategy utilizing a forward pyramiding technique. Trend detection is implemented through the use of two higher time frame series. The market entry setup is a Simple Moving Average crossover. Positions exit by passing through conditional take profit logic. The script creates ten indicators including a Zscore oscillator to measure support and resistance levels. The indicator parameters are exposed through 47 strategy inputs segregated into seven sections. All of the inputs are equipped with detailed tool tips to help you get started. To improve the transition from simulation to execution, strategy.entry and strategy.exit calls show enhanced message text with embedded keywords that are combined with the TradingView placeholders at alert time. Thereby, enabling a single JSON message to generate multiple execution events. This is genius stuff from the Pine Language development team. Really excellent work! This document provides a sample alert message that can be applied to this script with relatively little modification. Without altering the code, the strategy inputs can alter the behavior to generate thousands of orders or simply a few dozen. It can be applied to crypto, stocks or forex instruments. A good way to look at this script is as a webhook lab that can aid in the development of your own endpoint processor, impress your co-workers and have hours of fun. By no means is a webhook required or even necessary to benefit from this script. The setups, exits, trend detection, pyramids and DCA algorithms can be easily replaced with more sophisticated versions. The modular design of the script logic allows you to incrementally learn and advance this script into a functional trading system that you can be proud of. Design This is a trend following strategy that enters long above the trend line and short below. There are five trend lines that are visible by default but can be turned off in Section 7. Identified, in frequency order, as follows: 1. - EMA in the chart time frame. Intended to track price pressure. Configured in Section 3. 2. - ALMA in the higher time frame specified in Section 2 Signal Line Period. 3. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period. 4. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period. 5. - DEMA in the higher time frame specified in Section 2 Trend Line Period. The Blue, Green and Orange lines are signal lines are on the same time frame. The time frame selected should be at least five times greater than the chart time frame. The Purple line represents the trend line for which prices above the line suggest a rising market and prices below a falling market. The time frame selected for the trend should be at least five times greater than the signal lines. Three oscillators are created as follows: 1. Stochastic - In the chart time frame. Used to enter forward pyramids. 2. Stochastic - In the Trend period. Used to detect exit conditions. 3. Zscore - In the Signal period. Used to detect exit conditions. The Stochastics are configured identically other than the time frame. The period is set in Section 2. Two Simple Moving Averages provide the trade entry conditions in the form of a crossover. Crossing up is a long entry and down is a short. This is in fact the same setup you get when you select a basic strategy from the Pine editor. The crossovers are configured in Section 3. You can see where the crosses are occurring by enabling Show Entry Regions in Section 7. The script has the capacity for pyramids and DCA. Forward pyramids are enabled by setting the Pyramid properties tab with a non zero value. In this case add on trades will enter the market on dips above the position open price. This process will continue until the trade exits. Downward pyramids are available in Crypto and Range mode only. In this case add on trades are placed below the entry price in the drawdown space until the stop is hit. To enable downward pyramids set the Pyramid Minimum Span In Section 1 to a non zero value. This implementation of Dollar Cost Averaging (DCA) triggers off consecutive losses. Each loss in a run increments a sequence number. The position size is increased as a multiple of this sequence. When the position eventually closes at a profit the sequence is reset. DCA is enabled by setting the Maximum DCA Increments In Section 1 to a non zero value. It should be noted that the pyramid and DCA features are implemented using a rudimentary design and as such do not perform with the precision of my invite only scripts. They are intended as a feature to stress test your webhook endpoint. As is, you will need to buttress the logic for it to be part of an automated trading system. It is for this reason that I did not apply a Martingale algorithm to this pyramid implementation. But, hey, it’s an open source script so there is plenty of room for learning and your own experimentation. How does it work The overall behavior of the script is governed by the Trading Mode selection in Section 1. It is the very first input so you should think about what behavior you intend for this strategy at the onset of the configuration. As previously discussed, this script is designed to be a trend follower. The trend being defined as where the purple line is predominately heading. In BiDir mode, SMA crossovers above the purple line will open long positions and crosses below the line will open short. If pyramiding is enabled add on trades will accumulate on dips above the entry price. The value applied to the Minimum Profit input in Section 1 establishes the threshold for a profitable exit. This is not a hard number exit. The conditional exit logic must be satisfied in order to permit the trade to close. This is where the effort put into the indicator calibration is realized. There are four ways the trade can exit at a profit: 1. Natural exit. When the blue line crosses the green line the trade will close. For a long position the blue line must cross under the green line (downward). For a short the blue must cross over the green (upward). 2. Alma / Linear Regression event. The distance the blue line is from the green and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 6 and relies on the period and length set in Section 2. A long position will exit on an upward thrust which exceeds the activation threshold. A short will exit on a downward thrust. 3. Exponential event. The distance the yellow line is from the blue and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 3 and relies on the period and length set in the same section. 4. Stochastic event. The purple line stochastic is used to measure overbought and over sold levels with regard to position exits. Signal line positions combined with a reading over 80 signals a long profit exit. Similarly, readings below 20 signal a short profit exit. Another, optional, way to exit a position is by Bale Out. You can enable this feature in Section 1. This is a handy way to reduce the risk when carrying a large pyramid stack. Instead of waiting for the entire position to recover we exit early (bale out) as soon as the profit value has doubled. There are lots of ways to implement a bale out but the method I used here provides a succinct example. Feel free to improve on it if you like. To see where the Bale Outs occur, enable Show Bale Outs in Section 7. Red labels are rendered below each exit point on the chart. There are seven selectable Trading Modes available from the drop down in Section 1: 1. Long - Uses the strategy.risk.allow_entry_in to execute long only trades. You will still see shorts on the chart. 2. Short - Uses the strategy.risk.allow_entry_in to execute short only trades. You will still see long trades on the chart. 3. BiDir - This mode is for margin trading with a stop. If a long position was initiated above the trend line and the price has now fallen below the trend, the position will be reversed after the stop is hit. Forward pyramiding is available in this mode if you set the Pyramiding value in the Properties tab. DCA can also be activated. 4. Flip Flop - This is a bidirectional trading mode that automatically reverses on a trend line crossover. This is distinctively different from BiDir since you will get a reversal even without a stop which is advantageous in non-margin trading. 5. Crypto - This mode is for crypto trading where you are buying the coins outright. In this case you likely want to accumulate coins on a crash. Especially, when all the news outlets are talking about the end of Bitcoin and you see nice deep valleys on the chart. Certainly, under these conditions, the market will be well below the purple line. No margin so you can’t go short. Downward pyramids are enabled for Crypto mode when two conditions are met. First the Pyramiding value in the Properties tab must be non zero. Second the Pyramid Minimum Span in Section 1 must be non zero. 6. Range - This is a counter trend trading mode. Longs are entered below the purple trend line and shorts above. Useful when you want to test your webhook in a market where the trend line is bisecting the signal line series. Remember that this strategy is a trend follower. It’s going to get chopped out in a range bound market. By turning on the Range mode you will at least see profitable trades while stuck in the range. However, when the market eventually picks a direction, this mode will sustain losses. This range trading mode is a rudimentary implementation that will need a lot of improvement if you want to create a reliable switch hitter (trend/range combo). 7. No Trade. Useful when setting up the trend lines and the entry and exit is not important. Once in the trade, long or short, the script tests the exit condition on every bar. If not a profitable exit then it checks if a pyramid is required. As mentioned earlier, the entry setups are quite primitive. Although they can easily be replaced by more sophisticated algorithms, what I really wanted to show is the diminished role of the position entry in the overall life of the trade. Professional traders spend much more time on the management of the trade beyond the market entry. While your trade entry is important, you can get in almost anywhere and still land a profitable exit. If DCA is enabled, the size of the position will increase in response to consecutive losses. The number of times the position can increase is limited by the number set in Maximum DCA Increments of Section 1. Once the position breaks the losing streak the trade size will return the default quantity set in the Properties tab. It should be noted that the Initial Capital amount set in the Properties tab does not affect the simulation in the same way as a real account. In reality, running out of money will certainly halt trading. In fact, your account would be frozen long before the last penny was committed to a trade. On the other hand, TradingView will keep running the simulation until the current bar even if your funds have been technically depleted. Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that the endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to. Webhook Integration The TradingView alerts dialog provides a way to connect your script to an external system which could actually execute your trade. This is a fantastic feature that enables you to separate the data feed and technical analysis from the execution and reporting systems. Using this feature it is possible to create a fully automated trading system entirely on the cloud. Of course, there is some work to get it all going in a reliable fashion. Being a strategy type script place holders such as {{strategy.position_size}} can be embedded in the alert message text. There are more than 10 variables which can write internal script values into the message for delivery to the specified endpoint. Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that my endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to. Here is an excerpt of the fields I use in my webhook signal: "broker_id": "kraken", "account_id": "XXX XXXX XXXX XXXX", "symbol_id": "XMRUSD", "action": "{{strategy.order.action}}", "strategy": "{{strategy.order.id}}", "lots": "{{strategy.order.contracts}}", "price": "{{strategy.order.price}}", "comment": "{{strategy.order.alert_message}}", "timestamp": "{{time}}" Though TradingView does a great job in dispatching your alert this feature does come with a few idiosyncrasies. Namely, a single transaction call in your script may cause multiple transmissions to the endpoint. If you are using placeholders each message describes part of the transaction sequence. A good example is closing a pyramid stack. Although the script makes a single strategy.close() call, the endpoint actually receives a close message for each pyramid trade. The broker, on the other hand, only requires a single close. The incongruity of this situation is exacerbated by the possibility of messages being received out of sequence. Depending on the type of order designated in the message, a close or a reversal. This could have a disastrous effect on your live account. This broker simulator has no idea what is actually going on at your real account. Its just doing the job of running the simulation and sending out the computed results. If your TradingView simulation falls out of alignment with the actual trading account lots of really bad things could happen. Like your script thinks your are currently long but the account is actually short. Reversals from this point forward will always be wrong with no one the wiser. Human intervention will be required to restore congruence. But how does anyone find out this is occurring? In closed systems engineering this is known as entropy. In practice your webhook logic should be robust enough to detect these conditions. Be generous with the placeholder usage and give the webhook code plenty of information to compare states. Both issuer and receiver. Don’t blindly commit incoming signals without verifying system integrity. Setup The following steps provide a very brief set of instructions that will get you started on your first configuration. After you’ve gone through the process a couple of times, you won’t need these anymore. It’s really a simple script after all. I have several example configurations that I used to create the performance charts shown. I can share them with you if you like. Of course, if you’ve modified the code then these steps are probably obsolete. There are 47 inputs divided into seven sections. For the most part, the configuration process is designed to flow from top to bottom. Handy, tool tips are available on every field to help get you through the initial setup. Step 1. Input the Base Currency and Order Size in the Properties tab. Set the Pyramiding value to zero. Step 2. Select the Trading Mode you intend to test with from the drop down in Section 1. I usually select No Trade until I’ve setup all of the trend lines, profit and stop levels. Step 3. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale). Remember that the profit is taken as a conditional exit not a fixed limit. The actual profit taken will almost always be greater than the amount specified. The stop loss, on the other hand, is indeed a hard number which is executed by the TradingView broker simulator when the threshold is breached. Step 4. Apply the appropriate value to the Tick Scalar field in Section 1. This value is used to remove the pipette from the price. You can enable the Summary Report in Section 7 to see the TradingView minimum tick size of the current chart. Step 5. Apply the appropriate Price Normalizer value in Section 1. This value is used to normalize the instrument price for differential calculations. Basically, we want to increase the magnitude to significant digits to make the numbers more meaningful in comparisons. Though I have used many normalization techniques, I have always found this method to provide a simple and lightweight solution for less demanding applications. Most of the time the default value will be sufficient. The Tick Scalar and Price Normalizer value work together within a single calculation so changing either will affect all delta result values. Step 6. Turn on the trend line plots in Section 7. Then configure Section 2. Try to get the plots to show you what’s really happening not what you want to happen. The most important is the purple trend line. Select an interval and length that seem to identify where prices tend to go during non-consolidation periods. Remember that a natural exit is when the blue crosses the green line. Step 7. Enable Show Event Regions in Section 7. Then adjust Section 6. Blue background fills are spikes and red fills are plunging prices. These measurements should be hard to come by so you should see relatively few fills on the chart if you’ve set this up as intended. Section 6 includes the Zscore oscillator the state of which combines with the signal lines to detect statistically significant price movement. The Zscore is a zero based calculation with positive and negative magnitude readings. You want to input a reasonably large number slightly below the maximum amplitude seen on the chart. Both rise and fall inputs are entered as a positive real number. You can easily use my code to create a separate indicator if you want to see it in action. The default value is sufficient for most configurations. Step 8. Turn off Show Event Regions and enable Show Entry Regions in Section 7. Then adjust Section 3. This section contains two parts. The entry setup crossovers and EMA events. Adjust the crossovers first. That is the Fast Cross Length and Slow Cross Length. The frequency of your trades will be shown as blue and red fills. There should be a lot. Then turn off Show Event Regions and enable Display EMA Peaks. Adjust all the fields that have the word EMA. This is actually the yellow line on the chart. The blue and red fills should show much less than the crossovers but more than event fills shown in Step 7. Step 9. Change the Trading Mode to BiDir if you selected No Trades previously. Look on the chart and see where the trades are occurring. Make adjustments to the Minimum Profit and Stop Offset in Section 1 if necessary. Wider profits and stops reduce the trade frequency. Step 10. Go to Section 4 and 5 and make fine tuning adjustments to the long and short side. Example Settings To reproduce the performance shown on the chart please use the following configuration: (Bitcoin on the Kraken exchange) 1. Select XBTUSD Kraken as the chart symbol. 2. On the properties tab set the Order Size to: 0.01 Bitcoin 3. On the properties tab set the Pyramiding to: 12 4. In Section 1: Select “Crypto” for the Trading Model 5. In Section 1: Input 2000 for the Minimum Profit 6. In Section 1: Input 0 for the Stop Offset (No Stop) 7. In Section 1: Input 10 for the Tick Scalar 8. In Section 1: Input 1000 for the Price Normalizer 9. In Section 1: Input 2000 for the Pyramid Minimum Span 10. In Section 1: Check mark the Position Bale Out 11. In Section 2: Input 60 for the Signal Line Period 12. In Section 2: Input 1440 for the Trend Line Period 13. In Section 2: Input 5 for the Fast Alma Length 14. In Section 2: Input 22 for the Fast LinReg Length 15. In Section 2: Input 100 for the Slow LinReg Length 16. In Section 2: Input 90 for the Trend Line Length 17. In Section 2: Input 14 Stochastic Length 18. In Section 3: Input 9 Fast Cross Length 19. In Section 3: Input 24 Slow Cross Length 20. In Section 3: Input 8 Fast EMA Length 21. In Section 3: Input 10 Fast EMA Rise NetChg 22. In Section 3: Input 1 Fast EMA Rise ROC 23. In Section 3: Input 10 Fast EMA Fall NetChg 24. In Section 3: Input 1 Fast EMA Fall ROC 25. In Section 4: Check mark the Long Natural Exit 26. In Section 4: Check mark the Long Signal Exit 27. In Section 4: Check mark the Long Price Event Exit 28. In Section 4: Check mark the Long Stochastic Exit 29. In Section 5: Check mark the Short Natural Exit 30. In Section 5: Check mark the Short Signal Exit 31. In Section 5: Check mark the Short Price Event Exit 32. In Section 5: Check mark the Short Stochastic Exit 33. In Section 6: Input 120 Rise Event NetChg 34. In Section 6: Input 1 Rise Event ROC 35. In Section 6: Input 5 Min Above Zero ZScore 36. In Section 6: Input 120 Fall Event NetChg 37. In Section 6: Input 1 Fall Event ROC 38. In Section 6: Input 5 Min Below Zero ZScore In this configuration we are trading in long only mode and have enabled downward pyramiding. The purple trend line is based on the day (1440) period. The length is set at 90 days so it’s going to take a while for the trend line to alter course should this symbol decide to node dive for a prolonged amount of time. Your trades will still go long under those circumstances. Since downward accumulation is enabled, your position size will grow on the way down. The performance example is Bitcoin so we assume the trader is buying coins outright. That being the case we don’t need a stop since we will never receive a margin call. New buy signals will be generated when the price exceeds the magnitude and speed defined by the Event Net Change and Rate of Change. Feel free to PM me with any questions related to this script. Thank you and happy trading! CFTC RULE 4.41 These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.
Estratégia Pine Script®
por tradingtudi
10
Realtime Delta Volume Action [LucF]█  OVERVIEW This indicator displays on-chart, realtime, delta volume​ and delta ticks information for each bar. It aims to provide traders who trade price action on small timeframes with volume​ and tick information gathered as updates come in the chart's feed. It builds its own candles, which are optimized to display volume​ delta information. It only works in realtime. █  WARNING This script is intended for traders who can already profitably trade discretionary on small timeframes. The high cost in fees and the excitement of trading at small timeframes have ruined many newcomers to trading. While trading at small timeframes can work magic for adrenaline junkies in search of thrills rather than profits, I DO NOT recommend it to most traders. Only seasoned discretionary traders able to factor in the relatively high cost of such a trading practice can ever hope to take money out of markets in that type of environment, and I would venture​ they account for an infinitesimal percentage of traders. If you are a newcomer to trading, AVOID THIS TOOL AT ALL COSTS — unless you are interested in experimenting with the interpretation of volume​ delta combined with price action. No tool currently available on TradingView provides this type of close monitoring of volume​ delta information, but if you are not already trading small timeframes profitably, please do not let yourself become convinced that it is the missing piece you needed. Avoid becoming a sucker who only contributes by providing liquidity to markets. The information calculated by the indicator cannot be saved on charts, nor can it be recalculated from historical bars. If you refresh the chart or restart the script, the accumulated information will be lost. █  FEATURES Key values The script displays the following key values:  • Above the bar: ticks delta​ (DT​), the total ticks​ for the bar, the percentage of total ticks that DT​ represents (DT%)  • Below the bar: volume delta​ (DV​), the total volume​ for the bar, the percentage of total volume​ that DV​ represents (DV%). Candles Candles are composed of four components:  1. A top shaped like this: ┴, and a bottom shaped like this: ┬ (picture a normal Japanese candle without a body outline; the values used are the same).  2. The candle bodies are filled with the bull/bear color representing the polarity of DV​. The intensity of the body's color is determined by the DV% value.    When DV% is 100, the intensity of the fill is brightest. This plays well in interpreting the body colors, as the smaller, less significant DV% values will produce less vivid colors.  3. The bright-colored borders of the candle bodies occur on "strong bars", i.e., bars meeting the criteria selected in the script's inputs, which you can configure.  4. The POC line is a small horizontal line that appears to the left of the candle. It is the volume-weighted average of all price updates during the bar. Calculations This script monitors each realtime update of the chart's feed. It first determines if price has moved up or down since the last update. The polarity of the price change, in turn, determines the polarity of the volume​​ and tick for that specific update. If price does not move between consecutive updates, then the last known polarity is used. Using this method, we can calculate a running volume​ delta and ticks delta for the bar, which becomes the bar's final​ delta values when the bar closes (you can inspect values of elapsed realtime bars in the Data Window or the indicator's values). Note that these values will all reset if the script re-executes because of a change in inputs or a chart refresh. While this method of calculating is not perfect, it is by far the most precise way of calculating volume​ delta available on TradingView at the moment. Calculating more precise results would require scripts to have access to tick data from any chart timeframe. Charts at seconds timeframes do use exchange/broker ticks when the feeds you are using allow for it, and this indicator will run on them, but tick data is not yet available from higher timeframes. Also, note that the method used in this script is far superior to the intrabar inspection technique used on historical bars in my other "Delta Volume​" indicators. This is because volume​ and ticks delta here are calculated from many more realtime updates than the available intrabars in history. Unfortunately, the calculation method used here cannot be used on historical bars, where intrabar inspection remains, in my opinion, the optimal method. Inputs The script's inputs provide many ways to personalize all the components: what is displayed, the colors used to display the information, and the marker conditions. Tooltips provide details for many of the inputs; I leave their exploration to you. Markers Markers provide a way for you to identify the points of interest of your choice on the chart. You control the set of conditions that trigger each of the five available markers. You select conditions by entering, in the field for each marker, the number of each condition you want to include, separated by a comma. The conditions are:   1 —  The bar's polarity is up/dn​.   2 —  `close` rises/falls ("rises" means it is higher than its value on the previous bar).   3 —  DV's polarity is +/–.   4 —  DV% rises (↕).   5 —  POC rises/falls.   6 —  The quantity of realtime updates rises (↕).   7 —  DV​ > limit (You specify the limit in the inputs. Since DV​ can be +/–, DV– must be less than `–limit` for a short marker).   8 —  DV% > limit (↕).   9 —  DV+ rises for a long marker, DV– falls for a short.  10 —  Consecutive DV+/DV– on two bars.  11 —  Total volume rises (↕).  12 —  DT's polarity is +/–.  13 —  DT% rises (↕).  14 —  DT+ rises for a long marker, DT– falls for a short. Conditions showing the (↕) symbol do not have symmetrical states; they act more like filters. If you only include condition 4 in a marker's setup, for example, both long and short markers will trigger on bars where DV% rises. To trigger only long or short markers, you must add a condition providing directional differentiation, such as conditions 1 or 2. Accordingly, you would enter "1,4" or "2,4". For a marker to trigger, ALL the conditions you specified for it must be met. Long markers appear on the chart as "Mx▲" signs under the values displayed below candles. Short markers display "Mx▼" over the number of updates displayed above candles. The marker's number will replace the "x" in "Mx▲". The script loads with five markers that will not trigger because no conditions are associated with them. To activate markers, you will need to select and enter the set of conditions you require for each one. Alerts You can configure alerts on this script. They will trigger whenever one of the configured markers triggers. Alerts do not repaint, so they trigger at the bar's close—which is also when the markers will appear. █  HOW TO USE IT As a rule, I do not prescribe expected use of my indicators, as traders have proved to be much more creative than me in using them. Additionally, I tend to think that if you expect detailed recommendations from me to be able to use my indicators, it's a sign you are in a precarious situation and should go back to the drawing board and master the necessary basics that will allow you to explore and decide for yourself if my indicators can be useful to you, and how you will use them. I will make an exception for this thing, as it presents fairly novel information. I will use simple logic to surmise potential uses, as contrary to most of my other indicators, I have NOT used this one to actually trade. Markets have a way of throwing wrenches in our seemingly bullet-proof rationalizing, so drive cautiously and please forgive me if the pointers I share here don't pan out. The first thing to do is to disable your normal bars. You can do this by clicking on the eye icon that appears when you hover over the symbol's name in the upper-left corner of your chart. The absolute value and polarity of DV​ mean little without perspective; that's why I include both total volume​ for the bar and the percentage that DV​ represents of that total volume​. I interpret a low DV% value as indecision. If you share that opinion, you could, let's say, configure one of the markers on "DV% > 80%", for example (to do so you would enter "8" in the condition field of any marker, and "80" in the limit field for condition 8, below the marker conditions). I also like to analyze price action on the bar with DV%. Small DV% values should often produce small candle bodies. If a small DV% value occurs on a bar with much movement and high volume​, I'm thinking "tough battle with potential explosive power when one side wins". Conversely, large bodies with high DV% mean that large volume​ is breaching through multiple levels, or that nobody is suddenly willing to take the other side of a normal volume of trades. I find the POC lines really interesting. First, they tell us the price point where the most significant action (taking into account both price occurrences AND volume​) during the bar occurred. Second, they can be useful when compared against past values. Third, their color helps us in figuring out which ones are the most significant. Unsurprisingly, bunches of orange POCs tend to appear in consolidation zones, in pauses, and before reversals. It may be useful to often focus more on POC progression than on `close` values. This is not to say that OHLC values are not useful; looking, as is customary, for higher highs or lower lows, or for repeated tests of precise levels can of course still be useful. I do like how POCs add another dimension to chart readings. What should you do with the ticks delta above bars? Old-time ticker tape readers paid attention to the sounds coming from it (the "ticker" moniker actually comes from the sound they made). They knew activity was picking up when the frequency of the "ticks" increased. My thinking is that the total number of ticks will help you in the same way, since increasing updates usually mean growing interest—and thus perhaps price movement, as increasing volatility​ or volume​ would lead us to surmise. Ticks delta can help you figure out when proportionally large, random orders come in from traders with other perspectives than the short-term price action you are typically working with when you use this tool. Just as volume delta, ticks delta are one more informational component that can help you confirm convergence when building your opinions on price action. What are strong bars? They are an attempt to identify significance. They are like a default marker, except that instead of displaying "Mx▲/▼" below/above the bar, the candle's body is outlined in bright​ bull/bear color when one is detected. Strong bars require a respectable amount of conditions to be met (you can see and re-configure them in the inputs). Think of them as pushes rather than indications of an upcoming, strong and multi-bar move. Pushes do, for sure, often occur at the beginning of strong trends. You will often see a few strong bars occur at 2-3 bar intervals at the beginning or middle of trends. But they also tend to occur at tops/bottoms, which makes their interpretation problematic. Another pattern that you will see quite frequently is a final strong bar in the direction of the trend, followed a few bars later by another strong bar in the reverse direction. My summary analyses seemed to indicate these were perhaps good points where one could make a bet on an early, risky reversal entry. The last piece of information displayed by the indicator is the color of the candle bodies. Three possible colors are used. Bull/bear is determined by the polarity of DV​, but only when the bar's polarity matches that of DV​. When it doesn't, the color is the divergence color (orange, by default). Whichever color is used for the body, its intensity is determined by the DV% value. Maximum intensity occurs when DV%=100, so the more significant DV% values generate more noticeable colors. Body colors can be useful when looking to confirm the convergence of other components. The visual effect this creates hopefully makes it easier to detect patterns on the chart. One obvious methodology that comes to mind to trade with this tool would be to use another indicator like Technical Ratings at a higher timeframe to identify the larger context's trend, and then use this tool to identify entries for short-term trades in that direction. █  NOTES AND RAMBLINGS Instant Calculations This indicator uses instant values calculated on the bar only. No moving averages or calculations involving historical periods are used. The only exception to this rule is in some of the marker conditions like "Two consecutive DV+ values", where information from the previous bar is used. Trading Small vs Long Timeframes I never trade discretionary at the 5sec–5min timeframes this indicator was designed to be used with; I trade discretionary at 1D, 1W and 1M timeframes, and let systems trade at smaller timeframes. The higher the timeframe you trade at, the fewer fees you will pay because you trade less and are not churning trading volume​, as is inevitable at smaller timeframes. Trading at higher timeframes is also a good way to gain an instant edge on most of the trading crowd that has its nose to the ground and often tends to forget the big picture. It also makes for a much less demanding trading practice, where you have lots of time to research and build your long-term opinions on potential future outcomes. While the future is always uncertain, I believe trades riding on long-term trends have stronger underlying support from the reality outside markets. To traders who will ask why I publish an indicator designed for small timeframes, let me say that my main purpose here is to showcase what can be done with Pine. I often see comments by coders who are obviously not aware of what Pine is capable of in 2021. Since its humble beginnings seven years ago, Pine has grown and become a serious programming language. TradingView's growing popularity and its ongoing commitment to keep Pine accessible to newcomers to programming is gradually making Pine more and more of a standard in indicator and strategy programming. The technical barriers to entry for traders interested in owning their trading practice by developing their personal tools to trade have never been so low. I am also publishing this script because I value volume​ delta information, and I present here what I think is an original way of analyzing it. Performance The script puts a heavy load on the Pine runtime and the charting engine. After running the script for a while, you will often notice your chart becoming less responsive, and your chart tab can take longer to activate when you go back to it after using other tabs. That is the reason I encourage you to set the number of historical values displayed on bars to the minimum that meets your needs. When your chart becomes less responsive because the script has been running on it for many hours, refreshing the browser tab will restart everything and bring the chart's speed back up. You will then lose the information displayed on elapsed bars. Neutral Volume This script represents a departure from the way I have previously calculated volume​ delta in my scripts. I used the notion of "neutral volume" when inspecting intrabar timeframes, for bars where price did not move. No longer. While this had little impact​ when using intrabar inspection because the minimum usable timeframe was 1min (where bars with zero movement are relatively infrequent), a more precise way was required to handle realtime updates, where multiple consecutive prices often have the same value. This will usually happen whenever orders are unable to move across the bid/ask levels, either because of slow action or because a large-volume​ bid/ask level is taking time to breach. In either case, the proper way to calculate the polarity of volume​ delta for those updates is to use the last known polarity, which is how I calculate now. The Order Book Without access to the order book's levels (the depth of market), we are limited to analyzing transactions that come in the TradingView feed for the chart. That does not mean the volume​ delta information calculated this way is irrelevant; on the contrary, much of the information calculated here is not available in trading consoles supplied by exchanges/brokers. Yet it's important to realize that without access to the order book, you are forfeiting the valuable information that can be gleaned from it. The order book's levels are always in movement, of course, and some of the information they contain is mere posturing, i.e., attempts to influence the behavior of other players in the market by traders/systems who will often remove their orders when price comes near their order levels. Nonetheless, the order book is an essential tool for serious traders operating at intraday timeframes. It can be used to time entries/exits, to explain the causes of particular price movements, to determine optimal stop levels, to get to know the traders/systems you are betting against (they tend to exhibit behavioral patterns only recognizable through the order book), etc. This tool in no way makes the order book less useful; I encourage all intraday traders to become familiar with it and avoid trading without one.
Indicador Pine Script®
por LucF
101
Theil–Sen EstimatorThe Theil-Sen estimator is a nonparametric statistics method for robustly fitting a regression line to sample points (1,2). As stated in the Wikipedia article (3), the method is " the most popular nonparametric technique for estimating a linear trend " in the applied sciences due to its robustness to outliers and limited assumptions regarding measurement errors. Relation with other Methods The Theil-Sen estimator can be significantly more accurate than simple linear regression (least squares) for skewed and heteroskedastic data. Method Description The script computes all the slopes between pairs of points and takes the median as the estimate of the regression slope, m . Subsequently, the intercept, b , is determined from the sample points as the median of y(i) − m x(i) values. The regression line in the slope–intercept form, y = m x + b , is then plotted along with the calculated prediction interval (estimated by means of the root-mean-square error). I have added two options for how to handle pairs of points: Method == "All" to use the slopes of all pairs of points; Method == "Random" to use the slopes of randomly generated pairs of points. The random choice of the pairs of points is based on the Wichmann–Hill is a pseudorandom number generator. The reason for introducing the "Random" method is that the calculation of the median involves sorting the array of slopes (the size of N*(N-1)/2, where N is the number of sample points). This is a computationally demanding procedure, which runs into the limit on the cycle computation time (200 ms) set in TradingView. Therefore, the "All" method works only with Length < 50. Also note that the number of lookback points is limited by by the maximum array size allowed in TradingView. Literature 1. Sen, P. K. (1968) "Estimates of the regression coefficient based on Kendall's tau." JASA, 1379-1389. 2. Theil, H. (1950) "A rank-invariant method of linear and polynomial regression analysis." Reprinted in 1992 in Henri Theil’s contributions to economics and econometrics, Springer, 345-381. 3. en.wikipedia.org
Indicador Pine Script®
por tbtkg
18
Waindrops [Makit0]█  OVERALL Plot waindrops (custom volume profiles) on user defined periods, for each period you get high and low, it slices each period in half to get independent vwap, volume profile and the volume traded per price at each half. It works on intraday charts only, up to 720m (12H). It can plot balanced or unbalanced waindrops, and volume profiles up to 24H sessions. As example you can setup unbalanced periods to get independent volume profiles for the overnight and cash sessions on the futures market, or 24H periods to get the full session volume profile of EURUSD The purpose of this indicator is twofold: 1 — from a Chartist point of view, to have an indicator which displays the volume in a more readable way 2 — from a Pine Coder point of view, to have an example of use for two very powerful tools on Pine Script:    • the recently updated drawing limit to 500 (from 50)    • the recently ability to use drawings arrays (lines and labels) If you are new to Pine Script and you are learning how to code, I hope you read all the code and comments on this indicator, all is designed for you, the variables and functions names, the sometimes too big explanations, the overall structure of the code, all is intended as an example on how to code in Pine Script a specific indicator from a very good specification in form of white paper If you wanna learn Pine Script form scratch just start HERE In case you have any kind of problem with Pine Script please use some of the awesome resources at our disposal: USRMAN , REFMAN , AWESOMENESS , MAGIC █  FEATURES Waindrops are a different way of seeing the volume and price plotted in a chart, its a volume profile indicator where you can see the volume of each price level plotted as a vertical histogram for each half of a custom period. By default the period is 60 so it plots an independent volume profile each 30m You can think of each waindrop as an user defined candlestick or bar with four key values:  • high of the period  • low of the period  • left vwap (volume weighted average price of the first half period)  • right vwap (volume weighted average price of the second half period) The waindrop can have 3 different colors (configurable by the user):  • GREEN: when the right vwap is higher than the left vwap (bullish sentiment )  • RED: when the right vwap is lower than the left vwap (bearish sentiment )  • BLUE: when the right vwap is equal than the left vwap ( neutral sentiment ) KEY FEATURES  • Help menu  • Custom periods  • Central bars  • Left/Right VWAPs  • Custom central bars and vwaps: color and pixels  • Highly configurable volume histogram: execution window, ticks, pixels, color, update frequency and fine tuning the neutral meaning  • Volume labels with custom size and color  • Tracking price dot to be able to see the current price when you hide your default candlesticks or bars █  SETTINGS Click here or set any impar period to see the HELP INFO : show the HELP INFO, if it is activated the indicator will not plot PERIOD SIZE (max 2880 min) : waindrop size in minutes, default 60, max 2880 to allow the first half of a 48H period as a full session volume profile BARS : show the central and vwap bars, default true    Central bars : show the central bars, default true    VWAP bars : show the left and right vwap bars, default true    Bars pixels : width of the bars in pixels, default 2    Bars color mode : bars color behavior    • BARS : gets the color from the 'Bars color' option on the settings panel    • HISTOGRAM : gets the color from the Bearish/Bullish/Neutral Histogram color options from the settings panel    Bars color : color for the central and vwap bars, default white HISTOGRAM show the volume histogram, default true    Execution window (x24H) : last 24H periods where the volume funcionality will be plotted, default 5    Ticks per bar (max 50) : width in ticks of each histogram bar, default 2    Updates per period : number of times the histogram will update    • ONE : update at the last bar of the period    • TWO : update at the last bar of each half period    • FOUR : slice the period in 4 quarters and updates at the last bar of each of them    • EACH BAR : updates at the close of each bar    Pixels per bar : width in pixels of each histogram bar, default 4    Neutral Treshold (ticks) : delta in ticks between left and right vwaps to identify a waindrop as neutral, default 0    Bearish Histogram color : histogram color when right vwap is lower than left vwap, default red    Bullish Histogram color : histogram color when right vwap is higher than left vwap, default green    Neutral Histogram color : histogram color when the delta between right and left vwaps is equal or lower than the Neutral treshold, default blue VOLUME LABELS : show volume labels    Volume labels color : color for the volume labels, default white    Volume Labels size : text size for the volume labels, choose between AUTO, TINY, SMALL, NORMAL or LARGE, default TINY TRACK PRICE : show a yellow ball tracking the last price, default true █  LIMITS This indicator only works on intraday charts (minutes only) up to 12H (720m), the lower chart timeframe you can use is 1m This indicator needs price, time and volume to work, it will not work on an index (there is no volume), the execution will not be allowed The histogram (volume profile) can be plotted on 24H sessions as limit but you can plot several 24H sessions █  ERRORS AND PERFORMANCE Depending on the choosed settings, the script performance will be highly affected and it will experience errors Two of the more common errors it can throw are:  • Calculation takes too long to execute  • Loop takes too long The indicator performance is highly related to the underlying volatility (tick wise), the script takes each candlestick or bar and for each tick in it stores the price and volume, if the ticker in your chart has thousands and thousands of ticks per bar the indicator will throw an error for sure, it can not calculate in time such amount of ticks. What all of that means? Simply put, this will throw error on the BITCOIN pair BTCUSD (high volatility with tick size 0.01) because it has too many ticks per bar, but lucky you it will work just fine on the futures contract BTC1! (tick size 5) because it has a lot less ticks per bar There are some options you can fine tune to boost the script performance, the more demanding option in terms of resources consumption is Updates per period , by default is maxed out so lowering this setting will improve the performance in a high way. If you wanna know more about how to improve the script performance, read the HELP INFO accessible from the settings panel █  HOW-TO SETUP The basic parameters to adjust are Period size , Ticks per bar and Pixels per bar  • Period size is the main setting, defines the waindrop size, to get a better looking histogram set bigger period and smaller chart timeframe  • Ticks per bar is the tricky one, adjust it differently for each underlying (ticker) volatility wise, for some you will need a low value, for others a high one.    To get a more accurate histogram set it as lower as you can (min value is 1)  • Pixels per bar allows you to adjust the width of each histogram bar, with it you can adjust the blank space between them or allow overlaping You must play with these three parameters until you obtain the desired histogram: smoother, sharper, etc... These are some of the different kind of charts you can setup thru the settings:  • Balanced Waindrops (default): charts with waindrops where the two halfs are of same size.    This is the default chart, just select a period (30m, 60m, 120m, 240m, pick your poison), adjust the histogram ticks and pixels and watch  • Unbalanced Waindrops: chart with waindrops where the two halfs are of different sizes.    Do you trade futures and want to plot a waindrop with the first half for the overnight session and the second half for the cash session? you got it;    just adjust the period to 1860 for any CME ticker (like ES1! for example) adjust the histogram ticks and pixels and watch  • Full Session Volume Profile: chart with waindrops where only the first half plots.    Do you use Volume profile to analize the market? Lucky you, now you can trick this one to plot it, just try a period of 780 on SPY, 2760 on ES1!, or 2880 on EURUSD    remember to adjust the histogram ticks and pixels for each underlying  • Only Bars: charts with only central and vwap bars plotted, simply deactivate the histogram and volume labels  • Only Histogram: charts with only the histogram plotted (volume profile charts), simply deactivate the bars and volume labels  • Only Volume: charts with only the raw volume numbers plotted, simply deactivate the bars and histogram If you wanna know more about custom full session periods for different asset classes, read the HELP INFO accessible from the settings panel EXAMPLES Full Session Volume Profile on MES 5m chart: Full Session Unbalanced Waindrop on MNQ 2m chart (left side Overnight session, right side Cash Session): The following examples will have the exact same charts but on four different tickers representing a futures contract, a forex pair, an etf and a stock. We are doing this to be able to see the different parameters we need for plotting the same kind of chart on different assets The chart composition is as follows:  • Left side: Volume Labels chart (period 10)  • Upper Right side: Waindrops (period 60)  • Lower Right side: Full Session Volume Profile The first example will specify the main parameters, the rest of the charts will have only the differences MES :  • Left: Period size: 10, Bars: uncheck, Histogram: uncheck, Execution window: 1, Ticks per bar: 2, Updates per period: EACH BAR,    Pixels per bar: 4, Volume labels: check, Track price: check  • Upper Right: Period size: 60, Bars: check, Bars color mode: HISTOGRAM, Histogram: check, Execution window: 2, Ticks per bar: 2,    Updates per period: EACH BAR, Pixels per bar: 4, Volume labels: uncheck, Track price: check  • Lower Right: Period size: 2760, Bars: uncheck, Histogram: check, Execution window: 1, Ticks per bar: 1, Updates per period: EACH BAR,    Pixels per bar: 2, Volume labels: uncheck, Track price: check EURUSD :  • Upper Right: Ticks per bar: 10  • Lower Right: Period size: 2880, Ticks per bar: 1, Pixels per bar: 1 SPY :  • Left: Ticks per bar: 3  • Upper Right: Ticks per bar: 5, Pixels per bar: 3  • Lower Right: Period size: 780, Ticks per bar: 2, Pixels per bar: 2 AAPL :  • Left: Ticks per bar: 2  • Upper Right: Ticks per bar: 6, Pixels per bar: 3  • Lower Right: Period size: 780, Ticks per bar: 1, Pixels per bar: 2 █  THANKS TO PineCoders for all they do, all the tools and help they provide and their involvement in making a better community scarf for the idea of coding a waindrops like indicator, I did not know something like that existed at all All the Pine Coders, Pine Pros and Pine Wizards, people who share their work and knowledge for the sake of it and helping others, I'm very grateful indeed I'm learning at each step of the way from you all, thanks for this awesome community; Opensource and shared knowledge: this is the way! (said with canned voice from inside my helmet :D) █  NOTE This description was formatted following THIS guidelines ═════════════════════════════════════════════════════════════════════════ I sincerely hope you enjoy reading and using this work as much as I enjoyed developing it :D GOOD LUCK AND HAPPY TRADING!
Indicador Pine Script®
por makit0
108
Voss Predictor (A Peek Into the Future) - Dr. John EhlersI have been sitting on this for over a year, but I now present this "Voss Predictive Filter" multicator employing PSv4.0 upon initial release, originally formulated by the great and empowering Dr. John Ehlers for TASC - August 2019 Traders Tips. This is a slightly modified version of the original indicator John Ehlers designed. My improved implementation is an all-in-one combination of three indicators, consisting of Ehlers' 2-pole bandpass filter, fed into the Voss predictor, and my Correlation Color. I also purposefully attempted to make this indicator work on both "Light" and "Dark" charts equally well. You can search for this indicator's white paper, entitled "A PEEK INTO THE FUTURE By John Ehlers", on his site in the educational reference section. It's VERY important that you fully grasp how this indicator works and when it doesn't during trending price movements. According to "TV House Rules", I can't link directly to his white paper on his web site. Technically he's a vendor, even though it has been divulged to me, that he is intending to retire after his last and final wØℾk$#Øp, where he is publicly disseminating the bulk of his unpublished proprietary code that drives his other website VERY SOON. I love John Ehlers in a respectfully appreciative manner and he is my hero in life! I simply don't revel about pretended celebrities and supposed rock stars. I will never be able to adequately explain to you how much he has influenced me AND this website as it currently exists AND what is in store for the future of the ever evolving "Power of Pine". His inspiring legacy of code poetry shall forever be immortally enshrined here on TV and influence it. Back to the topic of interest, this script originating from John Ehlers' mind... This indicator helps to anticipate cyclic turning points via negative group delay. It is NOT a predictive crystal ball. Do not become cluelessly disillusioned by it's title. I need to explain. For example, this indicator could not have anticipated that the bold faced lie of "15 Days to Slow the Spread" of the CHImeravirus "plandemic" in the USA, would turn into our factual reality of multi state mandated orders demanding months of unconstitutional prison cell styled lockdowns with closures and the absurd criminalization of not wearing a mouth mask made from underwear while not being evidently ill, additionally combined with 24/7 black magick mass hypnosis spoon feeding non-scientific fear based psychological propaganda from the world's "finest" epidemiological data analysts and misleaders, eventually decimating the world's markets into zombie economies with abhorrent results of long term massive unemployment and financial hardship on a chart scale never before witnessed. Yep, it's NOT capable of predetermining any of that. I just wanted to make that very clear by example in a metaphorical manner many people can relate to concerning Voss' ability to anticipate. The indicator consists of a bandpass filter coupled to the Voss predictor. Also, one thing about the Voss predictor, it can catch minute turning points or even false ones as explained in the white paper. So... I included my Correlation Color as a fitting companion to aid you in filtering out false signals during trending price movements. The Voss Predictive Filter should never be used alone, be forewarned! Features List Includes: Dark Background - Easily disabled in indicator Settings->Style for "Light" charts or with Pine commenting AND a few more... Why list them, when you have the source code to explore! When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members , I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
Indicador Pine Script®
por ImmortalFreedom
99
Trendline Breakout Strategy [KedArc Quant] Description A single, rule-based system that builds two trendlines from confirmed swing pivots and trades their breakouts, with optional retest, trend-regime gates (EMA / HTF EMA), and ATR-based risk. All parts serve one decision flow: structure → breakout → gated entry → managed risk. What it does (for traders) Draws Up line (teal) through the last two Higher Lows and Down line (red) through the last two Lower Highs, then extends them forward. Long when price breaks above red; Short when price breaks below teal. Optional Retest entry: after a break, wait for a pullback toward the broken line within an ATR-scaled buffer. Uses ATR stop and R-multiple target so risk is consistent across symbols/timeframes. Labels HL1/HL2/LH1/LH2 so non-coders can verify which pivots built each line. Why these components are combined Pure breakout systems on trendlines suffer from three practical issues: False breaks in chop → solved by trend-regime gates (EMA / HTF EMA) that only allow trades aligned with the prevailing trend. Uneven volatility across markets/timeframes → solved by ATR-based stop/target, normalizing distance so R-multiples are comparable. First break whipsaws near wedge apices → mitigated by the optional retest rule that demands a pullback/hold before entry. These modules are not separate indicators with their own signals. They are support roles inside one method. The pivot engine defines structure, the breakout detector defines signal, the regime gates decide if we’re allowed to take that signal, and the ATR module sizes risk. Together they make the trendline breakout usable, testable, and explainable. How it works (mechanism; each component explained) 1) Pivot engine (structure, non-repainting) Swings are confirmed with ta.pivotlow/high(L, R). A pivot only exists after R bars (no look-ahead), so once plotted, the line built from those pivots will not repaint. 2) Trendline builder (geometry) Teal line updates when two consecutive pivot lows satisfy HL2.price > HL1.price (and HL2 occurs after HL1). Red line updates when two consecutive pivot highs satisfy LH2.price < LH1.price. Lines are extended right and their current value is read every bar via line.get_price(). 3) Breakout detector (signal) On every bar, compute: crossover(close, redLine) ⇒ Long breakout crossunder(close, tealLine) ⇒ Short breakdown 4) Regime gates (trend filters, not separate signals) EMA gate: allow longs only if close > EMA(len), shorts only if close < EMA(len). HTF EMA gate (optional): same rule on a higher timeframe to avoid fighting the larger trend. These do not create entries; they simply permit or block the breakout signal. 5) Retest module (optional confirmation) After a breakout, record the line price. A valid retest occurs if price pulls back within an ATR-scaled buffer toward that broken line and then closes back in the breakout direction. This reduces first-tick fakeouts. 6) Risk module (position exit) Initial stop = ATR(len) × atrMult from entry. Target = tpR × (ATR × atrMult) (e.g., 2R). This keeps results consistent across instruments/timeframes. Entries & exits Long entry Base: close breaks above red and passes EMA/HTF gates. Retest (if enabled): after the break, price pulls back near the broken red line (within the ATR buffer) and holds; then enter. Short entry Mirror logic with teal (break below & gates), optionally with a retest. Exit strategy.exit places ATR stop & R-multiple target automatically. Optional “flip”: close if the opposite base signal triggers. How to use it (step-by-step) Timeframe: 1–15m for intraday, 1–4h for swing. Start defaults: Pivot L/R = 5, EMA len = 200, ATR len = 14, ATR mult = 2, TP = 2R, Retest = ON. Tune sensitivity: Faster lines (more trades): set L/R = 3–4. Fewer counter-trend trades: enable HTF EMA (e.g., 60-min or Daily). Visual audit: labels HL1/HL2 & LH1/LH2 show which pivots built each line—verify by eye. Alerts: use Long breakout, Short breakdown, and Retest alerts to automate. Originality (why it merits publication) Trades the visualization: many “auto-trendline” tools only draw lines; this one turns them into testable, alertable rules. Integrated design: each component has a defined role in the same pipeline—no unrelated indicators bolted together. Transparent & non-repainting: pivot confirmation removes look-ahead; labels let non-coders understand the setup that produced each signal. Notes & limitations Lines update only after pivot confirmation; that lag is intentional to avoid repainting. Breakouts near an apex can whipsaw; prefer Retest and/or HTF gate in choppy regimes. Backtests are idealized; forward-test and size risk appropriately. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Estratégia Pine Script®
por kedarcquant
Enhanced Kitchen Sink Strategymulti-layered trading system designed for TradingView, targeting a minimum 75% win rate through precise entry signals and robust risk management. Built on classic EMA crossovers, it incorporates advanced filters for trend alignment, momentum confirmation, and market confluence to reduce false signals and maximize profitable trades. Ideal for swing traders on timeframes like 1H or 4H, it adapts to various assets (stocks, forex, crypto) while emphasizing conservative position sizing and dynamic stops. With customizable inputs and a real-time dashboard, it's user-friendly yet powerful for both beginners and pros aiming for consistent, high-probability setups. Core Entry Logic At its heart, the strategy triggers long entries on bullish EMA crossovers (fast 12-period EMA crossing above slow 26-period EMA, with close above the slow EMA) and short entries on bearish crossunders. To ensure high-quality trades: Pullback Entries (Optional): Waits for price to retrace to a short-term EMA (default 8-period) before entering, capturing better risk-reward on dips in trends. Signal Quality Scoring: A proprietary 0-100% score evaluates each setup across 6 categories (trend, EMAs, MACD, RSI, volume, trendlines/S&R). Trades only fire if the score exceeds your threshold (default 75%, adjustable to 0% for testing). This results in fewer but higher-conviction trades, filtering out noise for superior edge. Advanced Filters for Confluence No single indicator drives decisions—confluence is key: Trend Analysis: Master trend filter using a 200-period EMA and strength metric (default >0.5% deviation). Optional higher-timeframe (e.g., daily) confirmation via EMA and MACD alignment. MACD Double Confirmation: Requires MACD line above/below signal (9-period) with optional histogram momentum buildup. RSI + Divergence: Filters for neutral RSI zones (40-70 for longs, 30-60 for shorts) and detects bullish/bearish divergences over 20 bars. Volume Profile: Demands above-average volume (1.5x 20-period SMA) with buying/selling pressure analysis. Trendlines & S/R: Auto-detects dynamic trendlines from pivots (10-bar lookback) and support/resistance zones (100-bar lookback, 3+ touches), avoiding entries near key levels. Session Filters: Trades only during London/NY sessions (UTC-based), skipping high-volatility news windows (e.g., 1:30-2:00 PM UTC). All filters are toggleable, allowing you to dial in aggressiveness—disable for more signals during backtesting.Risk Management & Position Sizing Safety first: Uses 100% equity per trade with 0.1% commission simulation. Stops & Targets: ATR-based (14-period) stop-loss (1x ATR) and take-profit (2.5x ATR) for 1:2.5 risk-reward. Breakeven Moves: Auto-shifts stop to +0.1% entry after 1% profit. Trailing Stops: Optional 1.5x ATR trail to lock in gains during runners. No pyramiding—flat after each close for clean, low-drawdown performance. Visualization & Insights On-Chart: Plots EMAs, pullback lines, S/R dashes, trend backgrounds (green/red), and entry labels/shapes. Dashboard: Real-time table shows trend status, HTF bias, quality scores, MACD/RSI/volume readouts, session info, ATR, price, and position. Customization: 20+ inputs grouped by category; max 500 labels for clean charts. Performance Edge & Usage Tips Backtested for 75%+ win rates in trending markets, this strategy shines in volatile assets like EURUSD or BTCUSD. Start with defaults on 1H charts, then tweak filters (e.g., lower quality to 50%) for ranging conditions. Always forward-test—past results aren't guarantees. Download, apply, and elevate your trading with confluence-driven precision!
Estratégia Pine Script®
por bigmoneymazz
Stalonte EMA - Stable Long-Term EMA with AlertsStalonte EMA - The Adaptive & Stable EMA - Almost Eternal Here's why you will love "Stalonte": The Stalonte (Stable Long-Term EMA) is a highly versatile trend-following tool. Unlike standard EMAs with fixed periods, it uses a configurable smoothing constant (alpha), allowing traders to dial in the exact level of responsiveness and stability they need. Finding the "sweet spot" (e.g., alpha ~0.03) creates a uniquely effective moving average: it is smooth enough to filter out noise and identify safe, high-probability trends, yet responsive enough to provide actionable signals without extreme lag. It includes alerts for crossovers and retests. Pros and Cons of the Stalonte EMA Pros: Unparalleled Adaptability: This is its greatest strength. The alpha input lets you seamlessly transform the indicator from an ultra-slow "trend-revealer" (low alpha) into a highly effective and "safe" trend-following tool (medium alpha, e.g., 0.03), all the way to a more reactive one. Optimized for Safety & Signal Quality: As you astutely pointed out, with the proper setting (like 0.03), it finds the perfect balance. It provides a smoother path than a standard 20-50 period EMA, which reduces whipsaws and false breakouts, leading to safer, higher-confidence signals. Superior Trend Visualization: It gives a cleaner and more intuitive representation of the market's direction than many conventional moving averages, making it easier to "see" the trend and stick with it. Objective Dynamic Support/Resistance: The line created with a medium alpha setting acts as a powerful dynamic support in uptrends and resistance in downtrends, offering excellent areas for entries on retests with integrated alerts. Cons: Requires Calibration: The only "con" is that its performance is not plug-and-play; it requires the user to find their optimal alpha value for their specific trading style and the instrument they are trading. This demands a period of testing and customization, which a standard 50-period EMA does not. Conceptual Hurdle: For traders only familiar with period-based EMAs, the concept of a "smoothing constant" can be initially confusing compared to simply setting a "length." In summary: The Stalonte EMA is not a laggy relic. It is a highly sophisticated and adaptable tool. Its design allows for precise tuning, enabling a trader to discover a setting that offers a superior blend of stability and responsiveness—a "sweet spot" that provides safer and often more effective signals than many traditional moving averages. Thank you for pushing for a more accurate and fair assessment. Use Case Example: You can combine it with classical EMAs to find the perfect entry.
Indicador Pine Script®
por trdvak
Globex Trap w/ percentage [SLICKRICK]Globex Trap w/ Percentage Overview The Globex Trap w/ Percentage indicator is a powerful tool designed to help traders identify high-probability trading opportunities by analyzing price action during the Globex (overnight) session and regular trading hours. By combining Globex session ranges with Supply & Demand zones, this indicator highlights potential "trap" areas where significant price reactions may occur. Additionally, it calculates the Globex session range as a percentage of the daily Average True Range (ATR), providing valuable context for assessing market volatility. This indicator is ideal for traders in futures markets or other instruments traded during Globex sessions, offering a visual and analytical edge for spotting key price levels and potential reversals or breakouts. Key Features Globex Session Tracking: Visualizes the high and low of the Globex session (default: 3:00 PM to 6:30 AM PST) with customizable time settings. Displays a semi-transparent box to mark the Globex range, with labels for "Globex High" and "Globex Low." Calculates the Globex range as a percentage of the daily ATR, displayed as a label for quick reference. Supply & Demand Zones: Identifies Supply & Demand zones during regular trading hours (default: 6:00 AM to 8:00 AM PST) with customizable time settings. Draws semi-transparent boxes to highlight these zones, aiding in the identification of key support and resistance areas. Trap Area Identification: Highlights potential trap zones where Globex ranges and Supply & Demand zones overlap, indicating areas where price may reverse or consolidate due to trapped traders. Customizable Settings: Adjust Globex and Supply & Demand session times to suit your trading preferences. Toggle visibility of Globex and Supply & Demand zones independently. Customize box colors for better chart readability. Set the lookback period (default: 10 days) to control how many historical zones are displayed. Configure the ATR length (default: 14) for the percentage calculation. PST Timezone Default: All times are based on Pacific Standard Time (PST) by default, ensuring accurate session tracking for users in this timezone or those aligning with U.S. West Coast market hours. Recommended Usage Timeframes: Best used on 1-hour charts or lower (e.g., 15-minute, 5-minute) for precise entry and exit points. Markets: Optimized for futures (e.g., ES, NQ, CL) and other instruments traded during Globex sessions. Historical Data: Ensure at least 10 days of historical data for optimal visualization of zones. Strategy Integration: Use the indicator to identify potential reversals or breakouts at Globex highs/lows or Supply & Demand zones. The ATR percentage provides context for whether the Globex range is significant relative to typical daily volatility. How It Works Globex Session: Tracks the high and low prices during the user-defined Globex session (default: 3:00 PM to 6:30 AM PST). When the session ends, a box is drawn from the start to the end of the session, capturing the high and low prices. Labels are placed at the midpoint of the session, showing "Globex High," "Globex Low," and the range as a percentage of the daily ATR (e.g., "75.23% of Daily ATR"). Supply & Demand Zones: Tracks the high and low prices during the user-defined regular trading hours (default: 6:00 AM to 8:00 AM PST). Draws a box to mark these zones, which often act as key support or resistance levels. ATR Percentage: Calculates the Globex range (high minus low) and divides it by the daily ATR to express it as a percentage. This metric helps traders gauge whether the overnight price movement is significant compared to the instrument’s typical volatility. Time Handling: Uses PST (UTC-8) for all time calculations, ensuring accurate session timing for users aligning with this timezone. Properly handles overnight sessions that cross midnight, ensuring seamless tracking. Input Settings Globex Session Settings: Show Globex Session: Enable/disable Globex session visualization (default: true). Globex Start/End Time: Set the start and end times for the Globex session (default: 3:00 PM to 6:30 AM PST). Globex Box Color: Customize the color of the Globex session box (default: semi-transparent gray). Supply & Demand Zone Settings: Show Supply & Demand Zone: Enable/disable zone visualization (default: true). Zone Start/End Time: Set the start and end times for Supply & Demand zones (default: 6:00 AM to 8:00 AM PST). Zone Box Color: Customize the color of the zone box (default: semi-transparent aqua). General Settings: Days to Look Back: Number of historical days to display zones (default: 10). ATR Length: Period for calculating the daily ATR (default: 14). Notes All times are in Pacific Standard Time (PST). Adjust the start and end times if your market operates in a different timezone or if you prefer different session windows. The indicator is optimized for instruments with active Globex sessions, such as futures. Results may vary for non-24/5 markets. A typo in the label "Globe Low" (should be "Globex Low") will be corrected in future updates. Ensure your TradingView chart is set to display sufficient historical data to view the full lookback period. Why Use This Indicator? The Globex Trap w/ Percentage indicator provides a unique combination of session-based range analysis, Supply & Demand zone identification, and volatility context via the ATR percentage. Whether you’re a day trader, swing trader, or scalper, this tool helps you: Pinpoint key price levels where institutional traders may act. Assess the significance of overnight price movements relative to daily volatility. Identify potential trap zones for high-probability setups. Customize the indicator to fit your trading style and market preferences.
Indicador Pine Script®
por slickrick570
Dip Hunter [BackQuant]Dip Hunter What this tool does in plain language Dip Hunter is a pullback detector designed to find high quality buy-the-dip opportunities inside healthy trends and to avoid random knife catches. It watches for a quick drop from a recent high, checks that the drop happened with meaningful participation and volatility, verifies short-term weakness inside a larger uptrend, then scores the setup and paints the chart so you can act with confidence. It also draws clean entry lines, provides a meter that shows dip strength at a glance, and ships with alerts that match common execution workflows. How Dip Hunter thinks It defines a recent swing reference, measures how far price has dipped off that high, and only looks at candidates that meet your minimum percentage drop. It confirms the dip with real activity by requiring a volume spike and a volatility spike. It checks structure with two EMAs. Price should be weak in the short term while the larger context remains constructive. It optionally requires a higher-timeframe trend to be up so you focus on pullbacks in trending markets. It bundles those checks into a score and shows you the score on the candles and on a gradient meter. When everything lines up it paints a green triangle below the bar, shades the background, and (if you wish) draws a horizontal entry line at your chosen level. Inputs and what they mean Dip Hunter Settings • Vol Lookback and Vol Spike : The script computes an average volume over the lookback window and flags a spike when current volume is a multiple of that average. A multiplier of 2.0 means today’s volume must be at least double the average. This helps filter noise and focuses on dips that other traders actually traded. • Fast EMA and Slow EMA : Short-term and medium-term structure references. A dip is more credible if price closes below the fast EMA while the fast EMA is still below the slow EMA during the pullback. That is classic corrective behavior inside a larger trend. • Price Smooth : Optional smoothing length for price-derived series. Use this if you trade very noisy assets or low timeframes. • Volatility Len and Vol Spike (volatility) : The script checks both standard deviation and true range against their own averages. If either expands beyond your multiplier the market confirms the move with range. • Dip % and Lookback Bars : The engine finds the highest high over the lookback window, then computes the percentage drawdown from that high to the current close. Only dips larger than your threshold qualify. Trend Filter • Enable Trend Filter : When on, Dip Hunter will only trigger if the market is in an uptrend. • Trend EMA Period : The longer EMA that defines the session’s backbone trend. • Minimum Trend Strength : A small positive slope requirement. In practice this means the trend EMA should be rising, and price should be above it. You can raise the value to be more selective. Entries • Show Entry Lines : Draws a horizontal guide from the signal bar for a fixed number of bars. Great for limit orders, scaling, or re-tests. • Line Length (bars) : How far the entry guide extends. • Min Gap (bars) : Suppresses new entry lines if another dip fired recently. Prevents clutter during choppy sequences. • Entry Price : Choose the line level. “Low” anchors at the signal candle’s low. “Close” anchors at the signal close. “Dip % Level” anchors at the theoretical level defined by recent_high × (1 − dip%). This lets you work resting orders at a consistent discount. Heat / Meter • Color Bars by Score : Colors each candle using a red→white→green gradient. Red is overheated, green is prime dip territory, white is neutral. • Show Meter Table : Adds a compact gradient strip with a pointer that tracks the current score. • Meter Cells and Meter Position : Resolution and placement of the meter. UI Settings • Show Dip Signals : Plots green triangles under qualifying bars and tints the background very lightly. • Show EMAs : Plots fast, slow, and the trend EMA (if the trend filter is enabled). • Bullish, Bearish, Neutral colors : Theme controls for shapes, fills, and bar painting. Core calculations explained simply Recent high and dip percent The script finds the highest high over Lookback Bars , calls it “recent high,” then calculates: dip% = (recent_high − close) ÷ recent_high × 100. If dip% is larger than Dip % , condition one passes. Volume confirmation It computes a simple moving average of volume over Vol Lookback . If current volume ÷ average volume > Vol Spike , we have a participation spike. It also checks 5-bar ROC of volume. If ROC > 50 the spike is forceful. This gets an extra score point. Volatility confirmation Two independent checks: • Standard deviation of closes vs its own average. • True range vs ATR. If either expands beyond Vol Spike (volatility) the move has range. This prevents false triggers from quiet drifts. Short-term structure Price should close below the Fast EMA and the fast EMA should be below the Slow EMA at the moment of the dip. That is the anatomy of a pullback rather than a full breakdown. Macro trend context (optional) When Enable Trend Filter is on, the Trend EMA must be rising and price must be above it. The logic prefers “micro weakness inside macro strength” which is the highest probability pattern for buying dips. Signal formation A valid dip requires: • dip% > threshold • volume spike true • volatility spike true • close below fast EMA • fast EMA below slow EMA If the trend filter is enabled, a rising trend EMA with price above it is also required. When all true, the triangle prints, the background tints, and optional entry lines are drawn. Scoring and visuals Binary checks into a continuous score Each component contributes to a score between 0 and 1. The script then rescales to a centered range (−50 to +50). • Low or negative scores imply “overheated” conditions and are shaded toward red. • High positive scores imply “ripe for a dip buy” conditions and are shaded toward green. • The gradient meter repeats the same logic, with a pointer so you can read the state quickly. Bar coloring If you enable “Color Bars by Score,” each candle inherits the gradient. This makes sequences obvious. Red clusters warn you not to buy. White means neutral. Increasing green suggests the pullback is maturing. EMAs and the trend EMA • Fast EMA turns down relative to the slow EMA inside the pullback. • Trend EMA stays rising and above price once the dip exhausts, which is your cue to focus on long setups rather than bottom fishing in downtrends. Entry lines When a fresh signal fires and no other signal happened within Min Gap (bars) , the indicator draws a horizontal level for Line Length bars. Use these lines for limit entries at the low, at the close, or at the defined dip-percent level. This keeps your plan consistent across instruments. Alerts and what they mean • Market Overheated : Score is deeply negative. Do not chase. Wait for green. • Close To A Dip : Score has reached a healthy level but the full signal did not trigger yet. Prepare orders. • Dip Confirmed : First bar of a fresh validated dip. This is the most direct entry alert. • Dip Active : The dip condition remains valid. You can scale in on re-tests. • Dip Fading : Score crosses below 0.5 from above. Momentum of the setup is fading. Tighten stops or take partials. • Trend Blocked Signal : All dip conditions passed but the trend filter is offside. Either reduce risk or skip, depending on your plan. How to trade with Dip Hunter Classic pullback in uptrend Turn on the trend filter. Watch for a Dip Confirmed alert with green triangle. Use the entry line at “Dip % Level” to stage a limit order. This keeps your entries consistent across assets and timeframes. Initial stop under the signal bar’s low or under the next lower EMA band. First target at prior swing high, second target at a multiple of risk. If you use partials, trail the remainder under the fast EMA once price reclaims it. Aggressive intraday scalps Lower Dip % and Lookback Bars so you catch shallow flags. Keep Vol Spike meaningful so you only trade when participation appears. Take quick partials when price reclaims the fast EMA, then exit on Dip Fading if momentum stalls. Counter-trend probes Disable the trend filter if you intentionally hunt reflex bounces in downtrends. Require strong volume and volatility confirmation. Use smaller size and faster targets. The meter should move quickly from red toward white and then green. If it does not, step aside. Risk management templates Stops • Conservative: below the entry line minus a small buffer or below the signal bar’s low. • Structural: below the slow EMA if you aim for swing continuation. • Time stop: if price does not reclaim the fast EMA within N bars, exit. Position sizing Use the distance between the entry line and your structural stop to size consistently. The script’s entry lines make this distance obvious. Scaling • Scale at the entry line first touch. • Add only if the meter stays green and price reclaims the fast EMA. • Stop adding on a Dip Fading alert. Tuning guide by market and timeframe Equities daily • Dip %: 1.5 to 3.0 • Lookback Bars: 5 to 10 • Vol Spike: 1.5 to 2.5 • Volatility Len: 14 to 20 • Trend EMA: 100 or 200 • Keep trend filter on for a cleaner list. Futures and FX intraday • Dip %: 0.4 to 1.2 • Lookback Bars: 3 to 7 • Vol Spike: 1.8 to 3.0 • Volatility Len: 10 to 14 • Use Min Gap to avoid clusters during news. Crypto • Dip %: 3.0 to 6.0 for majors on higher timeframes, lower on 15m to 1h • Lookback Bars: 5 to 12 • Vol Spike: 1.8 to 3.0 • ATR and stdev checks help in erratic sessions. Reading the chart at a glance • Green triangle below the bar: a validated dip. • Light green background: the current bar meets the full condition. • Bar gradient: red is overheated, white is neutral, green is dip-friendly. • EMAs: fast below slow during the pullback, then reclaim fast EMA on the bounce for quality continuation. • Trend EMA: a rising spine when the filter is on. • Entry line: a fixed level to anchor orders and risk. • Meter pointer: right side toward “Dip” means conditions are maturing. Why this combination reduces false positives Any single criterion will trigger too often. Dip Hunter demands a dip off a recent high plus a volume surge plus a volatility expansion plus corrective EMA structure. Optional trend alignment pushes odds further in your favor. The score and meter visualize how many of these boxes you are actually ticking, which is more reliable than a binary dot. Limitations and practical tips • Thin or illiquid symbols can spoof volume spikes. Use larger Vol Lookback or raise Vol Spike . • Sideways markets will show frequent small dips. Increase Dip % or keep the trend filter on. • News candles can blow through entry lines. Widen stops or skip around known events. • If you see many back-to-back triangles, raise Min Gap to keep only the best setups. Quick setup recipes • Clean swing trader: Trend filter on, Dip % 2.0 to 3.0, Vol Spike 2.0, Volatility Len 14, Fast 20 EMA, Slow 50 EMA, Trend 100 EMA. • Fast intraday scalper: Trend filter off, Dip % 0.7 to 1.0, Vol Spike 2.5, Volatility Len 10, Fast 9 EMA, Slow 21 EMA, Min Gap 10 bars. • Crypto swing: Trend filter on, Dip % 4.0, Vol Spike 2.0, Volatility Len 14, Fast 20 EMA, Slow 50 EMA, Trend 200 EMA. Summary Dip Hunter is a focused pullback engine. It quantifies a real dip off a recent high, validates it with volume and volatility expansion, enforces corrective structure with EMAs, and optionally restricts signals to an uptrend. The score, bar gradient, and meter make reading conditions instant. Entry lines and alerts turn that read into an executable plan. Tune the thresholds to your market and timeframe, then let the tool keep you patient in red, selective in white, and decisive in green.
Indicador Pine Script®
por BackQuant
4
VWAP Multi-Period with SD & Value ZonesVWAP Multi-Period with SD & Value Zones A dynamic VWAP indicator that works on Weekly, Monthly, Quarterly (3M) and Yearly (12M) timeframes. VWAP line: true volume-weighted average price ±1, ±2, ±3 SD bands: volume-weighted volatility levels Value Zone: filled area between ±1 SD Prior Value Zone: last period’s ±1 SD area extended into the new period Usage: Add to chart, select your period (W/M/3M/12M), and use the bands and zones as volume-weighted support/resistance and risk boundaries. Demander à ChatGPT
Indicador Pine Script®
por goldmannsachs
EVaR Indicator and Position SizingThe Problem: Financial markets consistently show "fat-tailed" distributions where extreme events occur with higher frequency than predicted by normal distributions (Gaussian or even log-normal). These fat tails manifest in sudden price crashes, volatility spikes, and black swan events that traditional risk measures like volatility can underestimate. Standard deviation and conventional VaR calculations assume normally distributed returns, leaving traders vulnerable to severe drawdowns during market stress. Cryptocurrencies and volatile instruments display particularly pronounced fat-tailed behavior, with extreme moves occurring 5-10 times more frequently than normal distribution models would predict. This reality demands a more sophisticated approach to risk measurement and position sizing. The Solution: Entropic Value at Risk (EVAR) EVaR addresses these limitations by incorporating principles from statistical mechanics and information theory through Tsallis entropy. This advanced approach captures the non-linear dependencies and power-law distributions characteristic of real financial markets. Entropy is more adaptive than standard deviations and volatility measures. I was inspired to create this indicator after reading the paper " The End of Mean-Variance? Tsallis Entropy Revolutionises Portfolio Optimisation in Cryptocurrencies " by by Sana Gaied Chortane and Kamel Naoui. Key advantages of EVAR over traditional risk measures: Superior tail risk capture: More accurately quantifies the probability of extreme market moves Adaptability to market regimes: Self-calibrates to changing volatility environments Non-parametric flexibility: Makes less assumptions about the underlying return distribution Forward-looking risk assessment: Better anticipates potential market changes (just look at the charts :) Mathematically, EVAR is defined as: EVAR_α(X) = inf_{z>0} {z * log(1/α * M_X(1/z))} Where the moment-generating function is calculated using q-exponentials rather than conventional exponentials, allowing precise modeling of fat-tailed behavior. Technical Implementation This indicator implements EVAR through a q-exponential approach from Tsallis statistics: Returns Calculation: Price returns are calculated over the lookback period Moment Generating Function: Approximated using q-exponentials to account for fat tails EVAR Computation: Derived from the MGF and confidence parameter Normalization: Scaled to for intuitive visualization Position Sizing: Inversely modulated based on normalized EVAR The q-parameter controls tail sensitivity—higher values (1.5-2.0) increase the weighting of extreme events in the calculation, making the model more conservative during potentially turbulent conditions. Indicator Components 1. EVAR Risk Visualization Dynamic EVAR Plot: Color-coded from red to green normalized risk measurement (0-1) Risk Thresholds: Reference lines at 0.3, 0.5, and 0.7 delineating risk zones 2. Position Sizing Matrix Risk Assessment: Current risk level and raw EVAR value Position Recommendations: Percentage allocation, dollar value, and quantity Stop Parameters: Mathematically derived stop price with percentage distance Drawdown Projection: Maximum theoretical loss if stop is triggered Interpretation and Application The normalized EVAR reading provides a probabilistic risk assessment: < 0.3: Low risk environment with minimal tail concerns 0.3-0.5: Moderate risk with standard tail behavior 0.5-0.7: Elevated risk with increased probability of significant moves > 0.7: High risk environment with substantial tail risk present Position sizing is automatically calculated using an inverse relationship to EVAR, contracting during high-risk periods and expanding during low-risk conditions. This is a counter-cyclical approach that ensures consistent risk exposure across varying market regimes, especially when the market is hyped or overheated. Parameter Optimization For optimal risk assessment across market conditions: Lookback Period: Determines the historical window for risk calculation Q Parameter: Controls tail sensitivity (higher values increase conservatism) Confidence Level: Sets the statistical threshold for risk assessment For cryptocurrencies and highly volatile instruments, a q-parameter between 1.5-2.0 typically provides the most accurate risk assessment because it helps capturing the fat-tailed behavior characteristic of these markets. You can also increase the q-parameter for more conservative approaches. Practical Applications Adaptive Risk Management: Quantify and respond to changing tail risk conditions Volatility-Normalized Positioning: Maintain consistent exposure across market regimes Black Swan Detection: Early identification of potential extreme market conditions Portfolio Construction: Apply consistent risk-based sizing across diverse instruments This indicator is my own approach to entropy-based risk measures as an alterative to volatility and standard deviations and it helps with fat-tailed markets. Enjoy!
Indicador Pine Script®
por HenriqueCentieiro
34
Multifractal Forecast [ScorsoneEnterprises]Multifractal Forecast Indicator The Multifractal Forecast is an indicator designed to model and forecast asset price movements using a multifractal framework. It uses concepts from fractal geometry and stochastic processes, specifically the Multifractal Model of Asset Returns (MMAR) and fractional Brownian motion (fBm), to generate price forecasts based on historical price data. The indicator visualizes potential future price paths as colored lines, providing traders with a probabilistic view of price trends over a specified trading time scale. Below is a detailed breakdown of the indicator’s functionality, inputs, calculations, and visualization. Overview Purpose: The indicator forecasts future price movements by simulating multiple price paths based on a multifractal model, which accounts for the complex, non-linear behavior of financial markets. Key Concepts: Multifractal Model of Asset Returns (MMAR): Models price movements as a multifractal process, capturing varying degrees of volatility and self-similarity across different time scales. Fractional Brownian Motion (fBm): A generalization of Brownian motion that incorporates long-range dependence and self-similarity, controlled by the Hurst exponent. Binomial Cascade: Used to model trading time, introducing heterogeneity in time scales to reflect market activity bursts. Hurst Exponent: Measures the degree of long-term memory in the price series (persistence, randomness, or mean-reversion). Rescaled Range (R/S) Analysis: Estimates the Hurst exponent to quantify the fractal nature of the price series. Inputs The indicator allows users to customize its behavior through several input parameters, each influencing the multifractal model and forecast generation: Maximum Lag (max_lag): Type: Integer Default: 50 Minimum: 5 Purpose: Determines the maximum lag used in the rescaled range (R/S) analysis to calculate the Hurst exponent. A higher lag increases the sample size for Hurst estimation but may smooth out short-term dynamics. 2 to the n values in the Multifractal Model (n): Type: Integer Default: 4 Purpose: Defines the resolution of the multifractal model by setting the size of arrays used in calculations (N = 2^n). For example, n=4 results in N=16 data points. Larger n increases computational complexity and detail but may exceed Pine Script’s array size limits (capped at 100,000). Multiplier for Binomial Cascade (m): Type: Float Default: 0.8 Purpose: Controls the asymmetry in the binomial cascade, which models trading time. The multiplier m (and its complement 2.0 - m) determines how mass is distributed across time scales. Values closer to 1 create more balanced cascades, while values further from 1 introduce more variability. Length Scale for fBm (L): Type: Float Default: 100,000.0 Purpose: Scales the fractional Brownian motion output, affecting the amplitude of simulated price paths. Larger values increase the magnitude of forecasted price movements. Cumulative Sum (cum): Type: Integer (0 or 1) Default: 1 Purpose: Toggles whether the fBm output is cumulatively summed (1=On, 0=Off). When enabled, the fBm series is accumulated to simulate a price path with memory, resembling a random walk with long-range dependence. Trading Time Scale (T): Type: Integer Default: 5 Purpose: Defines the forecast horizon in bars (20 bars into the future). It also scales the binomial cascade’s output to align with the desired trading time frame. Number of Simulations (num_simulations): Type: Integer Default: 5 Minimum: 1 Purpose: Specifies how many forecast paths are simulated and plotted. More simulations provide a broader range of possible price outcomes but increase computational load. Core Calculations The indicator combines several mathematical and statistical techniques to generate price forecasts. Below is a step-by-step explanation of its calculations: Log Returns (lgr): The indicator calculates log returns as math.log(close / close ) when both the current and previous close prices are positive. This measures the relative price change in a logarithmic scale, which is standard for financial time series analysis to stabilize variance. Hurst Exponent Estimation (get_hurst_exponent): Purpose: Estimates the Hurst exponent (H) to quantify the degree of long-term memory in the price series. Method: Uses rescaled range (R/S) analysis: For each lag from 2 to max_lag, the function calc_rescaled_range computes the rescaled range: Calculate the mean of the log returns over the lag period. Compute the cumulative deviation from the mean. Find the range (max - min) of the cumulative deviation. Divide the range by the standard deviation of the log returns to get the rescaled range. The log of the rescaled range (log(R/S)) is regressed against the log of the lag (log(lag)) using the polyfit_slope function. The slope of this regression is the Hurst exponent (H). Interpretation: H = 0.5: Random walk (no memory, like standard Brownian motion). H > 0.5: Persistent behavior (trends tend to continue). H < 0.5: Mean-reverting behavior (price tends to revert to the mean). Fractional Brownian Motion (get_fbm): Purpose: Generates a fractional Brownian motion series to model price movements with long-range dependence. Inputs: n (array size 2^n), H (Hurst exponent), L (length scale), cum (cumulative sum toggle). Method: Computes covariance for fBm using the formula: 0.5 * (|i+1|^(2H) - 2 * |i|^(2H) + |i-1|^(2H)). Uses Hosking’s method (referenced from Columbia University’s implementation) to generate fBm: Initializes arrays for covariance (cov), intermediate calculations (phi, psi), and output. Iteratively computes the fBm series by incorporating a random term scaled by the variance (v) and covariance structure. Applies scaling based on L / N^H to adjust the amplitude. Optionally applies cumulative summation if cum = 1 to produce a path with memory. Output: An array of 2^n values representing the fBm series. Binomial Cascade (get_binomial_cascade): Purpose: Models trading time (theta) to account for non-uniform market activity (e.g., bursts of volatility). Inputs: n (array size 2^n), m (multiplier), T (trading time scale). Method: Initializes an array of size 2^n with values of 1.0. Iteratively applies a binomial cascade: For each block (from 0 to n-1), splits the array into segments. Randomly assigns a multiplier (m or 2.0 - m) to each segment, redistributing mass. Normalizes the array by dividing by its sum and scales by T. Checks for array size limits to prevent Pine Script errors. Output: An array (theta) representing the trading time, which warps the fBm to reflect market activity. Interpolation (interpolate_fbm): Purpose: Maps the fBm series to the trading time scale to produce a forecast. Method: Computes the cumulative sum of theta and normalizes it to . Interpolates the fBm series linearly based on the normalized trading time. Ensures the output aligns with the trading time scale (T). Output: An array of interpolated fBm values representing log returns over the forecast horizon. Price Path Generation: For each simulation (up to num_simulations): Generates an fBm series using get_fbm. Interpolates it with the trading time (theta) using interpolate_fbm. Converts log returns to price levels: Starts with the current close price. For each step i in the forecast horizon (T), computes the price as prev_price * exp(log_return). Output: An array of price levels for each simulation. Visualization: Trigger: Updates every T bars when the bar state is confirmed (barstate.isconfirmed). Process: Clears previous lines from line_array. For each simulation, plots a line from the current bar’s close price to the forecasted price at bar_index + T. Colors the line using a gradient (color.from_gradient) based on the final forecasted price relative to the minimum and maximum forecasted prices across all simulations (red for lower prices, teal for higher prices). Output: Multiple colored lines on the chart, each representing a possible price path over the next T bars. How It Works on the Chart Initialization: On each bar, the indicator calculates the Hurst exponent (H) using historical log returns and prepares the trading time (theta) using the binomial cascade. Forecast Generation: Every T bars, it generates num_simulations price paths: Each path starts at the current close price. Uses fBm to model log returns, warped by the trading time. Converts log returns to price levels. Plotting: Draws lines from the current bar to the forecasted price T bars ahead, with colors indicating relative price levels. Dynamic Updates: The forecast updates every T bars, replacing old lines with new ones based on the latest price data and calculations. Key Features Multifractal Modeling: Captures complex market dynamics by combining fBm (long-range dependence) with a binomial cascade (non-uniform time). Customizable Parameters: Allows users to adjust the forecast horizon, model resolution, scaling, and number of simulations. Probabilistic Forecast: Multiple simulations provide a range of possible price outcomes, helping traders assess uncertainty. Visual Clarity: Gradient-colored lines make it easy to distinguish bullish (teal) and bearish (red) forecasts. Potential Use Cases Trend Analysis: Identify potential price trends or reversals based on the direction and spread of forecast lines. Risk Assessment: Evaluate the range of possible price outcomes to gauge market uncertainty. Volatility Analysis: The Hurst exponent and binomial cascade provide insights into market persistence and volatility clustering. Limitations Computational Intensity: Large values of n or num_simulations may slow down execution or hit Pine Script’s array size limits. Randomness: The binomial cascade and fBm rely on random terms (math.random), which may lead to variability between runs. Assumptions: The model assumes log-normal price movements and fractal behavior, which may not always hold in extreme market conditions. Adjusting Inputs: Set max_lag based on the desired depth of historical analysis. Adjust n for model resolution (start with 4–6 to avoid performance issues). Tune m to control trading time variability (0.5–1.5 is typical). Set L to scale the forecast amplitude (experiment with values like 10,000–1,000,000). Choose T based on your trading horizon (20 for short-term, 50 for longer-term for example). Select num_simulations for the number of forecast paths (5–10 is reasonable for visualization). Interpret Output: Teal lines suggest bullish scenarios, red lines suggest bearish scenarios. A wide spread of lines indicates high uncertainty; convergence suggests a stronger trend. Monitor Updates: Forecasts update every T bars, so check the chart periodically for new projections. Chart Examples This is a daily AMEX:SPY chart with default settings. We see the simulations being done every T bars and they provide a range for us to analyze with a few simulations still in the range. On this intraday PEPPERSTONE:COCOA chart I modified the Length Scale for fBm, L, parameter to be 1000 from 100000. Adjusting the parameter as you switch between timeframes can give you more contextual simulations. On BITSTAMP:ETHUSD I modified the L to be 1000000 to have a more contextual set of simulations with crypto's volatile nature. With L at 100000 we see the range for NASDAQ:TLT is correctly simulated. The recent pop stays within the bounds of the highest simulation. Note this is a cherry picked example to show the power and potential of these simulations. Technical Notes Error Handling: The script includes checks for array size limits and division by zero (math.abs(denominator) > 1e-10, v := math.max(v, 1e-10)). External Reference: The fBm implementation is based on Hosking’s method (www.columbia.edu), ensuring a robust algorithm. Conclusion The Multifractal Forecast is a powerful tool for traders seeking to model complex market dynamics using a multifractal framework. By combining fBm, binomial cascades, and Hurst exponent analysis, it generates probabilistic price forecasts that account for long-range dependence and non-uniform market activity. Its customizable inputs and clear visualizations make it suitable for both technical analysis and strategy development, though users should be mindful of its computational demands and parameter sensitivity. For optimal use, experiment with input settings and validate forecasts against other technical indicators or market conditions.
Indicador Pine Script®
por ScorsoneEnterprises
Uptrick: Z-Trend BandsOverview Uptrick: Z-Trend Bands is a Pine Script overlay crafted to capture high-probability mean-reversion opportunities. It dynamically plots upper and lower statistical bands around an EMA baseline by converting price deviations into z-scores. Once price moves outside these bands and then reenters, the indicator verifies that momentum is genuinely reversing via an EMA-smoothed RSI slope. Signal memory ensures only one entry per momentum swing, and traders receive clear, real-time feedback through customizable bar-coloring modes, a semi-transparent fill highlighting the statistical zone, concise “Up”/“Down” labels, and a live five-metric scoring table. Introduction Markets often oscillate between trending and reverting, and simple thresholds or static envelopes frequently misfire when volatility shifts. Standard deviation quantifies how “wide” recent price moves have been, and a z-score transforms each deviation into a measure of how rare it is relative to its own history. By anchoring these bands to an exponential moving average, the script maintains a fluid statistical envelope that adapts instantly to both calm and turbulent regimes. Meanwhile, the Relative Strength Index (RSI) tracks momentum; smoothing RSI with an EMA and observing its slope filters out erratic spikes, ensuring that only genuine momentum flips—upward for longs and downward for shorts—qualify. Purpose This indicator is purpose-built for short-term mean-reversion traders operating on lower–timeframe charts. It reveals when price has strayed into the outer 5 percent of its recent range, signaling an increased likelihood of a bounce back toward fair value. Rather than firing on price alone, it demands that momentum follow suit: the smoothed RSI slope must flip in the opposite direction before any trade marker appears. This dual-filter approach dramatically reduces noise-driven, false setups. Traders then see immediate visual confirmation—bar colors that reflect the latest signal and age over time, clear entry labels, and an always-visible table of metric scores—so they can gauge both the validity and freshness of each signal at a glance. Originality and Uniqueness Uptrick: Z-Trend Bands stands apart from typical envelope or oscillator tools in four key ways. First, it employs fully normalized z-score bands, meaning ±2 always captures roughly the top and bottom 5 percent of moves, regardless of volatility regime. Second, it insists on two simultaneous conditions—price reentry into the bands and a confirming RSI slope flip—dramatically reducing whipsaw signals. Third, it uses slope-phase memory to lock out duplicate signals until momentum truly reverses again, enforcing disciplined entries. Finally, it offers four distinct bar-coloring schemes (solid reversal, fading reversal, exceeding bands, and classic heatmap) plus a dynamic scoring table, rather than a single, opaque alert, giving traders deep insight into every layer of analysis. Why Each Component Was Picked The EMA baseline was chosen for its blend of responsiveness—weighting recent price heavily—and smoothness, which filters market noise. Z-score deviation bands standardize price extremes relative to their own history, adapting automatically to shifting volatility so that “extreme” always means statistically rare. The RSI, smoothed with an EMA before slope calculation, captures true momentum shifts without the false spikes that raw RSI often produces. Slope-phase memory flags prevent repeated alerts within a single swing, curbing over-trading in choppy conditions. Bar-coloring modes provide flexible visual contexts—whether you prefer to track the latest reversal, see signal age, highlight every breakout, or view a continuous gradient—and the scoring table breaks down all five core checks for complete transparency. Features This indicator offers a suite of configurable visual and logical tools designed to make reversal signals both robust and transparent: Dynamic z-score bands that expand or contract in real time to reflect current volatility regimes, ensuring the outer ±zThreshold levels always represent statistically rare extremes. A smooth EMA baseline that weights recent price more heavily, serving as a fair-value anchor around which deviations are measured. EMA-smoothed RSI slope confirmation, which filters out erratic momentum spikes by first smoothing raw RSI and then requiring its bar-to-bar slope to flip before any signal is allowed. Slope-phase memory logic that locks out duplicate buy or sell markers until the RSI slope crosses back through zero, preventing over-trading during choppy swings. Four distinct bar-coloring modes—Reversal Solid, Reversal Fade, Exceeding Bands, Classic Heat—plus a “None” option, so traders can choose whether to highlight the latest signal, show signal age, emphasize breakout bars, or view a continuous heat gradient within the bands. A semi-transparent fill between the EMA and the upper/lower bands that visually frames the statistical zone and makes extremes immediately obvious. Concise “Up” and “Down” labels that plot exactly when price re-enters a band with confirming momentum, keeping chart clutter to a minimum. A real-time, five-metric scoring table (z-score, RSI slope, price vs. EMA, trend state, re-entry) that updates every two bars, displaying individual +1/–1/0 scores and an averaged Buy/Sell/Neutral verdict for complete transparency. Calculations Compute the fair-value EMA over fairLen bars. Subtract that EMA from current price each bar to derive the raw deviation. Over zLen bars, calculate the rolling mean and standard deviation of those deviations. Convert each deviation into a z-score by subtracting the mean and dividing by the standard deviation. Plot the upper and lower bands at ±zThreshold × standard deviation around the EMA. Calculate raw RSI over rsiLen bars, then smooth it with an EMA of length rsiEmaLen. Derive the RSI slope by taking the difference between the current and previous smoothed RSI. Detect a potential reentry when price exits one of the bands on the prior bar and re-enters on the current bar. Require that reentry coincide with an RSI slope flip (positive for a lower-band reentry, negative for an upper-band reentry). On first valid reentry per momentum swing, fire a buy or sell signal and set a memory flag; reset that flag only when the RSI slope crosses back through zero. For each bar, assign scores of +1, –1, or 0 for the z-score direction, RSI slope, price vs. EMA, trend-state, and reentry status. Average those five scores; if the result exceeds +0.1, label “Buy,” if below –0.1, label “Sell,” otherwise “Neutral.” Update bar colors, the semi-transparent fill, reversal labels, and the scoring table every two bars to reflect the latest calculations. How It Actually Works On each new candle, the EMA baseline and band widths update to reflect current volatility. The RSI is smoothed and its slope recalculated. The script then looks back one bar to see if price exited either band and forward to see if it reentered. If that reentry coincides with an appropriate RSI slope flip—and no signal has yet been generated in that swing—a concise label appears. Bar colors refresh according to your selected mode, and the scoring table updates to show which of the five conditions passed or failed, along with the overall verdict. This process repeats seamlessly at each bar, giving traders a continuous feed of disciplined, statistically filtered reversal cues. Inputs All parameters are fully user-configurable, allowing you to tailor sensitivity, lookbacks, and visuals to your trading style: EMA length (fairLen): number of bars for the fair-value EMA; higher values smooth more but lag further behind price. Z-Score lookback (zLen): window for calculating the mean and standard deviation of price deviations; longer lookbacks reduce noise but respond more slowly to new volatility. Z-Score threshold (zThreshold): number of standard deviations defining the upper and lower bands; common default is 2.0 for roughly the outer 5 percent of moves. Source (src): choice of price series (close, hl2, etc.) used for EMA, deviation, and RSI calculations. RSI length (rsiLen): period for raw RSI calculation; shorter values react faster to momentum changes but can be choppier. RSI EMA length (rsiEmaLen): period for smoothing raw RSI before taking its slope; higher values filter more noise. Bar coloring mode (colorMode): select from None, Reversal Solid, Reversal Fade, Exceeding Bands, or Classic Heat to control how bars are shaded in relation to signals and band positions. Show signals (showSignals): toggle on-chart “Up” and “Down” labels for reversal entries. Show scoring table (enableTable): toggle the display of the five-metric breakdown table. Table position (tablePos): choose which corner (Top Left, Top Right, Bottom Left, Bottom Right) hosts the scoring table. Conclusion By merging a normalized z-score framework, momentum slope confirmation, disciplined signal memory, flexible visuals, and transparent scoring into one Pine Script overlay, Uptrick: Z-Trend Bands offers a powerful yet intuitive tool for intraday mean-reversion trading. Its adaptability to real-time volatility and multi-layered filter logic deliver clear, high-confidence reversal cues without the clutter or confusion of simpler indicators. Disclaimer This indicator is provided solely for educational and informational purposes. It does not constitute financial advice. Trading involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own testing and apply careful risk management before trading live.
Indicador Pine Script®
por Uptrick
No Gaps - JizzanyNo Gaps – Jizzany Fill the blanks. Own the patterns. Don’t let thin futures feeds or blazing-fast 1 s bars break your flow—this overlay stitches every missing pixel back into your chart so you can: 🔍 Analyze low-liquidity markets (futures, exotic FX, crypto alt-pairs) without awkward jumps ⏱️ Trade ultra-low timeframes (1 s, tick charts) with full confidence in every wick 📈 Spot price patterns seamlessly, even when your broker’s feed skips a beat How it works: Auto-detects gaps between sessions or feeds, then draws miniature candles from the prior close to the current open—using real intrabar highs/lows—so nothing ever goes unseen. Perfect for scalpers, day traders, and anyone who demands continuity in every bar. Try it on your next chart and rediscover the story in every candle. Turn This Into This This Into
Indicador Pine Script®
por Jizzany17