Inizia

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Vietnamese Stocks: Multi-Ticker Fibonacci AlertThis Pine Script™ indicator is designed specifically for traders monitoring the Vietnamese stock market (HOSE, HNX). Its primary goal is to automate the tracking of Fibonacci retracement levels across a large list of stocks, alerting you when prices breach key support zones. Core Functionality: The script calculates Fibonacci retracement levels (23.6%, 38.2%, 50%, 61.8%, 78.6%) for up to 40 tickers simultaneously. The calculation is based on the highest high and lowest low identified since a user-defined Start Time. This allows you to anchor the Fibonacci analysis to a specific market event, trend start, or time period relevant to your strategy. What it Does For You: Automated Watchlist Scanning: Instead of drawing Fib levels on dozens of charts, select one of the two pre-configured watchlists (up to 40 symbols each, customizable in settings) populated with popular Vietnamese stocks. Time-Based Fibonacci: Define a Start Time in the settings. The script uses this date to find the subsequent highest high and lowest low for each symbol in your chosen watchlist, forming the basis for the Fib calculation. Intelligent Alerts: Get notified via TradingView's alerts when the candle closing price of any stock in your active watchlist falls below the critical 38.2%, 50%, 61.8%, or 78.6% levels relative to its own high/low range since the start time. Alerts are consolidated for efficiency. Visual Aids: - Plots the same time-based Fibonacci levels directly on your current chart symbol for quick reference. - Includes an optional on-chart table showing which monitored stocks are currently below key Fib levels (enable "Show Debug Info"). - Features experimental background coloring to highlight potential bullish signals on the current chart. Configuration: Start Time: Crucial input – sets the anchor point for Fib calculations. WatchList Selection: Choose between WatchList #1 (Bluechip/Midcap focus) or WatchList #2 (Defensive/Other focus) using the boolean toggles. Symbol Customization: Easily replace the default symbols with your preferred Vietnamese stocks directly in the indicator settings. Notification Prefix: Add custom text to the beginning of your alert messages. Alert Setup: Remember to create an alert in TradingView, selecting this indicator and the alert() condition, usually with "Once Per Bar Close" frequency. This tool is open-source under the MPL 2.0 license. Feel free to use, modify, and learn from it.
Indicatore Pine Script®
di doqkhanh
Institutional MACD (Z-Score Edition) [VolumeVigilante]📈 Institutional MACD (Z-Score Edition) — Professional-Grade Momentum Signal This is not your average MACD . The Institutional MACD (Z-Score Edition) is a statistically enhanced momentum tool, purpose-built for serious traders and breakout hunters . By applying Z-Score normalization to the classic MACD structure, this indicator uncovers statistically significant momentum shifts , enabling cleaner reads on price extremes, trend continuation, and potential reversals. 💡 Why It Matters The classic MACD is powerful — but raw momentum values can be noisy and relative , especially on volatile assets like BTC/USD . By transforming the MACD line, signal line, and histogram into Z-scores , we anchor these signals in statistical context . This makes the Institutional MACD: ✔️ Timeframe-agnostic and asset-normalized ✔️ Ideal for spotting true breakouts , not false flags ✔️ A reliable tool for detecting momentum divergence and exhaustion 🧪 Key Features ✅ Full Z-Score normalization (MACD, Signal, Histogram) ✅ Highlighted ±Z threshold bands for overbought/oversold zones ✅ Customizable histogram coloring for visual momentum shifts ✅ Built-in alerts for zero-crosses and Z-threshold breaks ✅ Clean overlay with optional display toggles 🔁 Strategy Tip: Mean Reversion Signals with Statistical Confidence This indicator isn't just for spotting breakouts — it also shines as a mean reversion tool , thanks to its Z-Score normalization . When the Z-Score histogram crosses beyond ±2, it marks a statistically significant deviation from the mean — often signaling that momentum is overstretched and the asset may be due for a pullback or reversal . 📌 How to use it: Z > +2 → Price action is in overbought territory. Watch for exhaustion or short setups. Z < -2 → Momentum is deeply oversold. Look for reversal confirmation or long opportunities. These zones often precede snap-back moves , especially in range-bound or corrective markets . 🎯 Combine Z-Score extremes with: Candlestick confirmation Support/resistance zones Volume or price divergence Other mean reversion tools (e.g., RSI, Bollinger Bands) Unlike the raw MACD, this version delivers statistical thresholds , not guesswork — helping traders make decisions rooted in probability, not emotion. 📢 Trade Smart. Trade Vigilantly. Published by VolumeVigilante
Indicatore Pine Script®
di VolumeVigilante
Global M2 sandboxThis indicator aggregates global sources of liquidity to use as a proxy for the global money supply and allows an offsetting number of days to be implemented to use as a leading indicator. // EUROZONE Data EUM2D = request.security("ECONOMICS:EUM2*FX:EURUSD", "D", close, lookahead=barmerge.lookahead_on) // North America Data USM2D = request.security("ECONOMICS:USM2", "D", close, lookahead=barmerge.lookahead_on) CAM2D = request.security("ECONOMICS:CAM2*FX_IDC:CADUSD", "D", close, lookahead=barmerge.lookahead_on) // Non-EU Europe Data CHM2D = request.security("ECONOMICS:CHM2*FX_IDC:CHFUSD", "D", close, lookahead=barmerge.lookahead_on) GBM2D = request.security("ECONOMICS:GBM2*FX:GBPUSD", "D", close, lookahead=barmerge.lookahead_on) FIPOP = request.security("ECONOMICS:FIM2/FX_IDC:USDFIM", "D", close, lookahead=barmerge.lookahead_on) RUM2D = request.security("ECONOMICS:RUM2*FX_IDC:RUBUSD", "D", close, lookahead=barmerge.lookahead_on) // Pacific Data NZM2D = request.security("ECONOMICS:NZM2*FX_IDC:NZDUSD", "D", close, lookahead=barmerge.lookahead_on) // Asia Data CNM2D = request.security("ECONOMICS:CNM2*FX_IDC:CNYUSD", "D", close, lookahead=barmerge.lookahead_on) TWM2D = request.security("ECONOMICS:TWM2*FX_IDC:TWDUSD", "D", close, lookahead=barmerge.lookahead_on) HKM2D = request.security("ECONOMICS:HKM2*FX_IDC:HKDUSD", "D", close, lookahead=barmerge.lookahead_on) INM2D = request.security("ECONOMICS:INM2*FX_IDC:INRUSD", "D", close, lookahead=barmerge.lookahead_on) JPM2D = request.security("ECONOMICS:JPM2*FX_IDC:JPYUSD", "D", close, lookahead=barmerge.lookahead_on) PHM2D = request.security("ECONOMICS:PHM2*FX_IDC:PHPUSD", "D", close, lookahead=barmerge.lookahead_on) SGM2D = request.security("ECONOMICS:SGM2*FX_IDC:SGDUSD", "D", close, lookahead=barmerge.lookahead_on) // Latin America Data BRM2D = request.security("ECONOMICS:BRM2*FX_IDC:BRLUSD", "D", close, lookahead=barmerge.lookahead_on) COM2D = request.security("ECONOMICS:COM2*FX_IDC:COPUSD", "D", close, lookahead=barmerge.lookahead_on) MXM2D = request.security("ECONOMICS:MXM2*FX_IDC:MXNUSD", "D", close, lookahead=barmerge.lookahead_on) // Middle East Data AEM2D = request.security("ECONOMICS:AEM2*FX_IDC:AEDUSD", "D", close, lookahead=barmerge.lookahead_on) TRM2D = request.security("ECONOMICS:TRM2*FX_IDC:TRYUSD", "D", close, lookahead=barmerge.lookahead_on) // Africa Data ZAM2D = request.security("ECONOMICS:ZAM2*FX_IDC:ZARUSD", "D", close, lookahead=barmerge.lookahead_on) // Calculate Global Money Supply M2 total = (EUM2D + USM2D + CAM2D + CHM2D + GBM2D + FIPOP + RUM2D + NZM2D + CNM2D + TWM2D + HKM2D + INM2D + JPM2D + PHM2D + SGM2D + BRM2D + COM2D + MXM2D + AEM2D + TRM2D + ZAM2D) / 1000000000000
Indicatore Pine Script®
di mbonce
[Kpt-Ahab] PnL-calculatorThe PnL-Cal shows how much you’re up or down in your own currency, based on the current exchange rate. Let’s say your home currency is EUR. On October 10, 2022, you bought 10 Tesla stocks at $219 apiece. Back then, with an exchange rate of 0.9701, you spent €2,257.40. If you sold the 10 Tesla shares on April 17, 2025 for $241.37 each, that’s around a 10% gain in USD. But if you converted the USD back to EUR on the same day at an exchange rate of 1.1398, you’d actually end up with an overall loss of about 6.2%. Right now, only a single entry point is supported. If you bought shares on different days with different exchange rates, you’ll unfortunately have to enter an average for now. For viewing on a phone, the table can be simplified.
Indicatore Pine Script®
di Kpt-Ahab
tafirstlibGeneral Purpose: Starts by stating it's a collection of utility functions for technical analysis. Core Functionality Areas: Mentions key categories like: Extrema detection (isMin, isMax, etc.) Condition checking over time (isMachedInRange, isContinuous, etc.) Rate of change analysis (isSlowDown) Moving average calculation (getMA) Advanced Features: Highlights the more complex functions: Visualization helpers (getColorNew) Moving Regression (mr) for smoothing/trend Cycle analysis (bpDom) Overall Goal: Concludes by stating the library's aim – simplifying development and enabling complex analysis. Library "tafirstlib" TODO: add library description here isSlowDown(data)   isSlowDown   Parameters:      data (float) : array of numbers   Returns: boolean isMin(data, maeLength)   isMin   Parameters:      data (float) : array of numbers      maeLength (int) : number   Returns: boolean isMax(data, maeLength)   isMax   Parameters:      data (float) : array of numbers      maeLength (int) : number   Returns: boolean isMinStopped(data, maeLength)   isMinStopped   Parameters:      data (float) : array of numbers      maeLength (int) : number   Returns: boolean isMaxStopped(data, maeLength)   isMaxStopped   Parameters:      data (float) : array of numbers      maeLength (int) : number   Returns: boolean isLongMinStopped(data, maeLength, distance)   isLongMinStopped   Parameters:      data (float) : array of numbers      maeLength (int) : number      distance (int) : number   Returns: boolean isLongMaxStopped(data, maeLength, distance)   isLongMaxStopped   Parameters:      data (float) : array of numbers      maeLength (int) : number      distance (int) : number   Returns: boolean isMachedInRangeSkipCurrent(data, findRange, findValue)   isMachedInRangeSkipCurrent   Parameters:      data (bool) : array of numbers      findRange (int) : number      findValue (bool) : number   Returns: boolean isMachedInRange(data, findRange, findValue)   isMachedInRange   Parameters:      data (bool) : array of numbers      findRange (int) : number      findValue (bool) : number   Returns: boolean isMachedColorInRange(data, findRange, findValue)   isMachedColorInRange isMachedColorInRange(series color data, int findRange, color findValue)   Parameters:      data (color) : series of color      findRange (int) : int      findValue (color) : color   Returns: boolean countMachedInRange(data, findRange, findValue)   countMachedInRange   Parameters:      data (bool) : array of numbers      findRange (int) : number      findValue (bool) : number   Returns: number getColor(data)   getColor   Parameters:      data (float) : array of numbers   Returns: color getColorNew(data)   getColorNew   Parameters:      data (float) : array of numbers   Returns: color isColorBetter(color_data)   isColorBetter   Parameters:      color_data (color) : array of colors   Returns: boolean isColorWorst(color_data)   isColorWorst   Parameters:      color_data (color) : array of colors   Returns: boolean isColorBetter2(color_data)   isColorBetter2   Parameters:      color_data (color) : array of colors   Returns: boolean isColorWorst2(color_data)   isColorWorst2   Parameters:      color_data (color) : array of colors   Returns: boolean isDecreased2Bar(data)   isDecreased2Bar   Parameters:      data (float) : array of numbers   Returns: boolean isContinuousAdvance(targetSeries, range2Find, howManyException)   isContinuousAdvance   Parameters:      targetSeries (bool) : array of booleans      range2Find (int) : number      howManyException (int) : number   Returns: boolean isContinuous(targetSeries, range2Find, truefalse)   isContinuous   Parameters:      targetSeries (bool) : array of booleans      range2Find (int) : number      truefalse (bool) : boolean   Returns: boolean isContinuousNotNow(targetSeries, range2Find, truefalse)   isContinuousNotNow   Parameters:      targetSeries (bool) : array of booleans      range2Find (int) : number      truefalse (bool) : boolean   Returns: boolean isContinuousTwoFactors(targetSeries, range2Find, truefalse)   isContinuousTwoFactors   Parameters:      targetSeries (bool) : array of booleans      range2Find (int) : number      truefalse (bool) : boolean   Returns: boolean findEventInRange(startDataBarIndex, neededDataBarIndex, currentBarIndex)   findEventInRange   Parameters:      startDataBarIndex (int) : number      neededDataBarIndex (int) : number      currentBarIndex (int) : number   Returns: boolean findMin(firstdata, secondata, thirddata, forthdata)   findMin   Parameters:      firstdata (float) : number      secondata (float) : number      thirddata (float) : number      forthdata (float) : number   Returns: number findMax(firstdata, secondata, thirddata, forthdata)   findMax   Parameters:      firstdata (float) : number      secondata (float) : number      thirddata (float) : number      forthdata (float) : number   Returns: number getMA(src, length, mav)   getMA   Parameters:      src (float) : number      length (simple int) : number      mav (string) : string   Returns: number mr(mrb_src, mrb_window, mrb_degree)   Parameters:      mrb_src (float)      mrb_window (int)      mrb_degree (int) bpDom(maeLength, bpw, mult)   Parameters:      maeLength (int)      bpw (float)      mult (float)
Libreria Pine Script®
di doqkhanh
FunctionSurvivalEstimationLibrary "FunctionSurvivalEstimation" The Survival Estimation function, also known as Kaplan-Meier estimation or product-limit method, is a statistical technique used to estimate the survival probability of an individual over time. It's commonly used in medical research and epidemiology to analyze the survival rates of patients with different treatments, diseases, or risk factors. What does it do? The Survival Estimation function takes into account censored observations (i.e., individuals who are still alive at a certain point) and calculates the probability that an individual will survive beyond a specific time period. It's particularly useful when dealing with right-censoring, where some subjects are lost to follow-up or have not experienced the event of interest by the end of the study. Interpretation The Survival Estimation function provides a plot of the estimated survival probability over time, which can be used to: 1. Compare survival rates between different groups (e.g., treatment arms) 2. Identify patterns in the data that may indicate differences in mortality or disease progression 3. Make predictions about future outcomes based on historical data 4. In a trading context it may be used to ascertain the survival ratios of trading under specific conditions. Reference: www.global-developments.org "Beyond GDP" ~ www.aeaweb.org en.wikipedia.org www.kdnuggets.com survival_probability(alive_at_age, initial_alive)   Kaplan-Meier Survival Estimator.   Parameters:      alive_at_age (int) : The number of subjects still alive at a age.      initial_alive (int) : The Total number of initial subjects.   Returns: The probability that a subject lives longer than a certain age. utility(c, l)   Captures the utility value from consumption and leisure.   Parameters:      c (float) : Consumption.      l (float) : Leisure.   Returns: Utility value from consumption and leisure. welfare_utility(age, b, u, s)   Calculate the welfare utility value based age, basic needs and social interaction.   Parameters:      age (int) : Age of the subject.      b (float) : Value representing basic needs (food, shelter..).      u (float) : Value representing overall well-being and happiness.      s (float) : Value representing social interaction and connection with others.   Returns: Welfare utility value. expected_lifetime_welfare(beta, consumption, leisure, alive_data, expectation)   Calculates the expected lifetime welfare of an individual based on their consumption, leisure, and survival probability over time.   Parameters:      beta (float) : Discount factor.      consumption (array) : List of consumption values at each step of the subjects life.      leisure (array) : List of leisure values at each step of the subjects life.      alive_data (array) : List of subjects alive at each age, the first element is the total or initial number of subjects.      expectation (float) : Optional, `defaut=1.0`. Expectation or weight given to this calculation.   Returns: Expected lifetime welfare value.
Libreria Pine Script®
di RicardoSantos
2
Statistical Trailing Stop [LuxAlgo]The Statistical Trailing Stop tool offers traders a way to lock in profits in trending markets with four statistical levels based on the log-normal distribution of volatility. The indicator also features a dashboard with statistics of all detected signals. 🔶 USAGE The tool works out of the box, traders can adjust the data used with two parameters: data & distribution length. By default, the tool takes volatility measures of groups of 10 candles, and statistical measures of the last 100 of these groups then traders can adjust the base level to use as trailing, the larger the level, the more resistant the tool will be to moves against the trend. 🔹 Base Levels Traders can choose up to 4 different levels of trailing, all based on the statistical distribution of volatility. As we can see in the chart above, each higher level is more resistant to market movements, so level 0 is the most reactive and level 3 the least. It is up to the trader to determine the best level for each underlying, time frame and market conditions. 🔹 Dashboard The tool provides a dashboard with the statistics of all trades, making it very easy to assess the performance of the parameters used for any given market. As we can see on the chart, all Daily BTC signals with default parameters but different base levels, level 2 is the best performing of all four, giving a positive expectation of $2435 per trade, taking into account all long and short trades. Of note are the long trades with a win rate of 76.47% and a risk-to-reward of 3.34, giving a positive expectation of $4839 per trade, with winners having an average duration of 210 days and losers 32 days. This, compared to short trades with negative expectation, speaks to the uptrend bias of this particular market. 🔶 SETTINGS Data Length: Select how many bars to use per data point Distribution Length: Select how many data points the distribution will have Base Level: Choose between 4 different trailing levels 🔹 Dashboard Show Statistics: Enable/disable dashboard Position: Select dashboard position Size: Select dashboard size
Indicatore Pine Script®
di LuxAlgo
6
Composite Scaled EMA LevelsComposite Scaled EMA Levels Indicator This TradingView Pine Script indicator calculates a “composite EMA” that compares the closing price of the current asset with that of the XU100 index and scales the EMA values to the XU100 level. It then visualizes these computed levels as horizontal lines on the chart with corresponding labels. Key Components: Inputs and Data Retrieval: Length Input: The user defines a parameter length (default is 10) which determines over how many bars the horizontal line is drawn. Data Collection: The daily closing price of the current symbol (current_close) is retrieved using request.security(). The daily closing price of the XU100 index (xu100) is also retrieved. A ratio is computed as current_close / xu100. This ratio serves as the basis for calculating the composite EMAs. EMA Calculations: The indicator computes Exponential Moving Averages (EMAs) on the ratio for specific periods. In the provided version, the script calculates EMAs for three periods (34, 55, and 233), though you can easily expand this to other periods if needed. Each computed EMA (for instance, EMA34, EMA55, EMA233) is then scaled by multiplying it with the XU100 index’s close, converting it to a price level that is meaningful on the chart. Drawing Horizontal Lines: Instead of using the standard plot() function, the script uses line.new() to draw horizontal lines representing the scaled EMA values over the last “length” bars. Before drawing new lines, any existing lines and labels are deleted to ensure that only the most current values are shown. Adding Labels to Lines: The script creates a label for each EMA using label.new(), placing the label at the current bar (i.e., the rightmost position on the chart) using label.style_label_left so that the text appears to the right of the line. The label displays the name of the composite EMA (e.g., "Composite EMA 34") along with its current scaled value. Visualization: The horizontal lines and labels provide a visual reference for the composite EMA levels. These lines help traders see critical support/resistance levels derived from the relationship between the current asset and the XU100 index. Colors are assigned for clarity (for example, the EMA lines in this version use green). Summary: The Composite Scaled EMA Levels indicator is designed to help traders analyze the relationship between an asset’s price and the broader market index (XU100) by calculating a ratio and then applying EMAs on that ratio. By scaling these EMAs back to price levels and displaying them as horizontal lines with clear labels on the chart, the indicator offers a visual tool to assess trend direction and potential support or resistance levels. This can assist in making informed trading decisions based on composite trend analysis.
Indicatore Pine Script®
di AhmetKasa
3
Average Body RangeThe Average Body Range (ABR) indicator calculates the average size of a candle's real body over a specified period. Unlike the traditional Average Daily Range (ADR), which measures the full range from high to low, the ABR focuses solely on the absolute difference between the open and close of each bar. This provides insight into market momentum and trading activity by reflecting how much price is actually moving from open to close , not just in total. This indicator is especially useful for identifying: Periods of strong directional movement (larger body sizes) Low-volatility or indecisive markets (smaller body sizes) Changes in trend conviction or momentum Customization: Length: Number of bars used to compute the average (default: 14) Use ABR to enhance your understanding of price behavior and better time entries or exits based on market strength.
Indicatore Pine Script®
di sachdevaneil
1
RTH and ETH RangesKey Functions : Visualizes Regular Trading Hours (RTH) and Extended Trading Hours (ETH) price ranges Tracks session highs, lows, and 50% levels where significant market reactions occur Detects breakouts beyond previous session extremes Trading Applications : Exposes potential liquidity raids at session boundaries where smart money targets stop orders Identifies critical price thresholds where institutional activity concentrates Highlights divergences between RTH and ETH behavior that precede directional moves Provides measurement of session volatility differences Maps key price levels for objective entry and exit parameters Reveals market dynamics at session transitions where institutional positioning changes
Indicatore Pine Script®
di mnakatenus
Dirty Market IndexThis indicator is designed to out an index displaying the level of dirtiness in market. This level is defined by: Sum of shadow lengths of last n candles (n is input and user can change it, it's 100 by default) divided by Sum of full candle bodies of last n candles (high - low) This factor indicates how many percents of the market movement has been placed in shadows of candles, the higher this number, the dirtier market would be.
Indicatore Pine Script®
di Mahdi_Fatemi1998
3 Candles Gap3 Candle Gap Indicator is made to detect these types of patterns: 1. 3 consecutive bullish or bearish candles 2. the middle candle true body (body excluding shadows) has a part that is not covered by previous and next candle shadows (gap) This pattern helps traders to detect candles where price has moved in a direction and gap has formed (price is not covered by previous or next candles shadows), this is a signal showing price momentum where one side (bulls/bears) is so powerful at moving the price that the other side (bears/bulls) can't get price back to cover the gap. This indicator has "repainting" by 1 candle which means, it uses the data from future to work, however this future data does not go further than 1 candle.
Indicatore Pine Script®
di Mahdi_Fatemi1998
Leavitt Convolution ProbabilityTechnical Analysis of Markets with Leavitt Market Projections and Associated Convolution Probability The aim of this study is to present an innovative approach to market analysis based on the research "Leavitt Market Projections." This technical tool combines one indicator and a probability function to enhance the accuracy and speed of market forecasts. Key Features Advanced Indicators : the script includes the Convolution line and a probability oscillator, designed to anticipate market changes. These indicators provide timely signals and offer a clear view of price dynamics. Convolution Probability Function : The Convolution Probability (CP) is a key element of the script. A significant increase in this probability often precedes a market decline, while a decrease in probability can signal a bullish move. The Convolution Probability Function: At each bar, i, the linear regression routine finds the two parameters for the straight line: y=mi​x+bi​. Standard deviations can be calculated from the sequence of slopes, {mi​}, and intercepts, {bi​}. Each standard deviation has a corresponding probability. Their adjusted product is the Convolution Probability, CP. The construction of the Convolution Probability is straightforward. The adjusted product is the probability of one times 1− the probability of the other. Customizable Settings : Users can define oversold and overbought levels, as well as set an offset for the linear regression calculation. These options allow for tailoring the script to individual trading strategies and market conditions. Statistical Analysis : Each analyzed bar generates regression parameters that allow for the calculation of standard deviations and associated probabilities, providing an in-depth view of market dynamics. The results from applying this technical tool show increased accuracy and speed in market forecasts. The combination of Convolution indicator and the probability function enables the identification of turning points and the anticipation of market changes. Additional information: Leavitt, in his study, considers the SPY chart. When the Convolution Probability (CP) is high, it indicates that the probability P1​ (related to the slope) is high, and conversely, when CP is low, P1​ is low and P2 is high. For the calculation of probability, an approximate formula of the Cumulative Distribution Function (CDF) has been used, which is given by: CDF(x)=21​(1+erf(σ2​x−μ​)) where μ is the mean and σ is the standard deviation. For the calculation of probability, the formula used in this script is: 0.5 * (1 + (math.sign(zSlope) * math.sqrt(1 - math.exp(-0.5 * zSlope * zSlope)))) Conclusions This study presents the approach to market analysis based on the research "Leavitt Market Projections." The script combines Convolution indicator and a Probability function to provide more precise trading signals. The results demonstrate greater accuracy and speed in market forecasts, making this technical tool a valuable asset for market participants.
Indicatore Pine Script®
di dPEngineering
Drawdown Visualizer v1.0Drawdown Visualizer The Drawdown Visualizer tracks the percentage decline from all-time highs, providing valuable insights into market corrections and potential buying opportunities. Key Features: 1) Real-Time Drawdown Tracking: The indicator continuously calculates and displays the current percentage drawdown from the all-time high price, color-coded from green (minimal drawdown) to red (severe drawdown) for instant visual feedback. 2) Maximum Drawdown Detection: Permanently tracks and displays the maximum historical drawdown encountered during the analyzed period, helping traders understand worst-case scenarios. 3) Statistical Analysis: Calculates and displays three important statistical measures: * Average Drawdown: The mean value of all drawdowns recorded * Median Drawdown: The middle value in the sorted list of all drawdowns, providing insight into typical decline patterns * Normal Drawdown Range: Visualizes the expected range of typical drawdowns based on statistical standard deviation Practical Applications: 1) Risk Management: Understand typical and extreme drawdowns to set appropriate stop-loss levels 2) Market Context: Gain perspective on whether current corrections are normal or exceptional 3) Entry Point Analysis: Identify potential buying opportunities when drawdowns reach statistical extremes
Indicatore Pine Script®
di bignutsss
Daily LevelsOverview: The Daily Levels indicator plots key price levels from the previous trading day, including the high, low, median (pivot), and projected extensions. These levels help traders identify potential support/resistance zones and anticipate breakout or reversal opportunities. Key Features: ✅ Previous Day High & Low – Visualizes the prior day’s high and low as dynamic support/resistance levels. ✅ Median (Pivot) Line – Calculates the midpoint between the previous day’s high and low, acting as a key intraday reference. ✅ Projected Levels – Extends the high/low range symmetrically above and below the median, highlighting potential breakout zones. ✅ Customizable Display – Toggle visibility, adjust colors, and modify line styles (solid, dotted, dashed). ✅ Price Labels – Clear on-chart labels showing exact price values for quick reference. ✅ Built-in Alerts – Get notified when price crosses any of the key levels. How to Use: Trend Identification: If price holds above the median, the bias is bullish; below suggests bearish momentum. Breakout Trading: Watch for moves beyond the projected levels for potential continuation. Mean Reversion: Fade moves toward the previous day’s high/low if the median holds as support/resistance. Ideal For: Day Traders – Intraday support/resistance levels. Swing Traders – Context for multi-day trends. Breakout/Reversal Strategies – Clear levels for trade triggers. Settings Recommendations: High/Low Lines: Use semi-transparent colors (e.g., green/red) for clarity. Projections: Helpful for anticipating extended moves (e.g., teal for upper, orange for lower). Alerts: Enable notifications for key crosses (e.g., median or high/low breaks).
Indicatore Pine Script®
di PIXEL_BLADE
Day’s Open ForecastOverview This Pine Script indicator combines two primary components: 1. Day’s Open Forecast: o Tracks historical daily moves (up and down) from the day’s open. o Calculates average up and down moves over a user-defined lookback period. o Optionally includes standard deviation adjustments to forecast potential intraday levels. o Plots lines on the chart for the forecasted up and down moves from the current day's open. 2. Session VWAP: o Allows you to specify a custom trading session (by time range and UTC offset). o Calculates and plots a Volume-Weighted Average Price (VWAP) during that session. By combining these two features, you can gauge potential intraday moves relative to historical behavior from the open, while also tracking a session-specific VWAP that can act as a dynamic support/resistance reference. How the Code Works 1. Collect Daily Moves o The script detects when a new day starts using time("D"). o Once a new day is detected, it stores the previous day’s up-move (dayHigh - dayOpen) and down-move (dayOpen - dayLow) into arrays. o These arrays keep track of the last N days (default: 126) of up/down move data. 2. Compute Statistics o The script computes the average (f_average()) of up-moves and down-moves over the stored period. o It also computes the standard deviation (f_stddev()) of up/down moves for optional “forecast bands.” 3. Forecast Lines o Plots the current day’s open. o Plots the average forecast lines above and below the open (Avg Up Move Level and Avg Down Move Level). o If standard deviation is enabled, plots additional lines (Avg+StdDev Up and Avg+StdDev Down). 4. Session VWAP o The script detects the start of a user-defined session (via input.session) and resets accumulation of volume and the numerator for VWAP. o As each bar in the session updates, it accumulates volume (vwapCumulativeVolume) and a price-volume product (vwapCumulativeNumerator). o The session VWAP is then calculated as (vwapCumulativeNumerator / vwapCumulativeVolume) and plotted. 5. Visualization Options o Users can toggle standard deviation usage, historical up/down moves plotting, and whether to show the forecast “bands.” o The vwapSession and vwapUtc inputs let you adjust which session (and time zone offset) the VWAP is calculated for. ________________________________________ How to Use This Indicator on TradingView 1. Create a New Script o Open TradingView, then navigate to Pine Editor (usually found at the bottom of the chart). o Copy and paste the entire code into the editor. 2. Save and Add to Chart o Click Save (give it a relevant title if you wish), then click Add to chart. o The indicator will appear on your chart with the forecast lines and VWAP. o By default, it is overlayed on the price chart (because of overlay=true). 3. Customize Inputs o In the indicator’s settings, you can:  Change lookback days (default: 126).  Enable or disable standard deviation (Include Standard Deviation in Forecast?).  Adjust the standard deviation multiplier.  Choose whether to plot bands (Plot Bands with Averages/StdDev?).  Plot historical moves if desired (Plot Historical Up/Down Moves for Reference?).  Set your custom session and UTC offset for the VWAP calculation. 4. Interpretation o “Current Day Open” is simply today’s open price on your chart. o Up/Down Move Lines: Indicate a potential forecast based on historical averages.  If standard deviation is enabled, the second set of lines acts as an extended range. o VWAP: Helpful for determining intraday price equilibrium over the specified session. Important Notes / Best Practices • The script only updates the historical up/down move data once per day (when a new day starts). • The VWAP portion resets at the start of the specified session each day. • Standard deviation multiplies the average up/down range, giving you a sense of “volatility range” around the day’s open. • Adjust the lookback length (dayCount) to balance how many days of data you want to average. More days = smoother but possibly slower to adapt; fewer days = more reactive but potentially less reliable historically. Educational & Liability Disclaimers 1. Educational Disclaimer o The information provided by this indicator is for educational and informational purposes only. It is a technical analysis tool intended to demonstrate how to use historical data and basic statistics in Pine Script. 2. No Financial Advice o This script does not constitute financial or investment advice. All examples and explanations are solely illustrative. You should always do your own analysis before making any investment decisions. 3. No Liability o The author of this script is not liable for any losses or damages—monetary or otherwise—that may occur from the application of this script. o Past performance does not guarantee future results, and you should never invest money you cannot afford to lose. By adding this indicator to your TradingView chart, you acknowledge and accept that you alone are responsible for your own trading decisions. Enjoy using the “Day’s Open Forecast” and Session VWAP for better market insights!
Indicatore Pine Script®
di SnipeTheDipNDieRich
Trend Targets [AlgoAlpha]OVERVIEW This script combines a smoothed trend-following model with dynamic price rejection logic and ATR-based target projection to give traders a complete visual framework for trading trend continuations. It overlays on price and automatically detects potential trend shifts, confirms rejections near dynamic support/resistance, and displays calculated stop-loss and take-profit levels to support structured risk-reward management. Unlike traditional indicators that only show trend direction or signal entries, this tool brings together a unique mix of signal validation, volatility-aware positioning, and layered profit-taking to guide decision-making with more context. CONCEPTS The core trend logic is built on a custom Supertrend that uses an ATR-based band structure with long smoothing chains—first through a WMA, then an EMA—allowing the trend line to respond to major shifts while ignoring noise. A key addition is the use of rejection logic: the script looks for consolidation candles that "hug" the smoothed trend line and counts how many consecutive bars reject from it. This behavior often precedes significant moves. A user-defined threshold filters out weak tests and highlights only meaningful rejections. FEATURES Trend Detection : Automatically identifies trend direction using a smoothed Supertrend (WMA + EMA), with shape markers on trend shifts and color-coded bars for clarity. Rejection Signals : Detects price rejections at the trend line after a user-defined number of consolidation bars; plots ▲/▼ icons to highlight strong continuation setups. Target Projection : On trend confirmation, plots entry, stop-loss (ATR-based), and three dynamic take-profit levels based on customizable multiples. Dynamic Updates : All levels (entry, SL, TP1–TP3) auto-adjust based on volatility and are labeled in real time on the chart. Customization : Users can tweak trend parameters, rejection confirmation count, SL/TP ratios, smoothing lengths, and appearance settings. Alerts : Built-in alerts for trend changes, rejection events, and when TP1, TP2, or TP3 are reached. Chart Overlay : Plots directly on price chart with minimal clutter and clearly labeled levels for easy trading. USAGE Start by tuning the Supertrend factor and ATR period to fit your asset and timeframe—higher values will catch bigger swings, lower values catch faster moves. The confirmation count should match how tightly you want to filter rejection behavior—higher values make signals rarer but stronger. When the trend shifts, the indicator colors the bars and line accordingly, and if enabled, plots the full entry-TP-SL structure. Rejection markers appear only after enough qualifying bars confirm price pressure at the trend line. This is especially useful for continuation plays where price retests the trend but fails to break it. All calculations are based on volatility (ATR), so targets naturally adjust with market conditions. Add alerts to get notified of important signals even when away from the chart.
Indicatore Pine Script®
di AlgoAlpha
21
NR_VersatilitiesLibrary "NR_Versatilities" Versatilities (aka, Versatile Utilities) includes: - Seventeen Price Variants returned as a tuple, - Eight Smoothing functions rolled into one, - Pick any Past Value from any series with offset, - Or just the previous value from any series. pastVal(src, len)   Fetches past value from src that came len distance ago   Parameters:      src (float) : source series      len (int) : lookback distance - (optional) default is 1   Returns: latest src if len <= 0, else src previous(src)   Fetches past value from src that came len distance ago   Parameters:      src (float) : source series   Returns: previous value in the series if found, else current value price_variants()   Computes Several different averages using current and previous OHLC values   Returns: Seventeen Uncommon Average Price Combinations dynamic_MA(matyp, masrc, malen, lsmaoff, almasgm, almaoff, almaflr)   Dynamically computes Eight different MAs on-demand individually, or an average of all taken together   Parameters:      matyp (string) : pick one of these MAs - ALMA, EMA, HMA, LSMA, RMA, SMA, SWMA, WMA, ALL      masrc (float) : source series to compute MA      malen (simple int) : lookback distance for MA      lsmaoff (simple int) : optional LSMA offset - default is 0      almasgm (simple float) : optional ALMA sigma - default is 5      almaoff (simple float) : optional ALMA offset - default is 0.5      almaflr (simple bool) : optional ALMA floor flag - default is false   Returns: MA series for chosen type or, an average of all of them, if chosen so
Libreria Pine Script®
di nArAyaNa_rAmAnuja-dAsan