Inizia

Forecasting

Mariam 5m Scalping Breakout StrategyPurpose A 5-minute scalping breakout strategy designed to capture fast 3-5 pip moves with high probability, using premium/discount zone filters and market bias conditions. Developed for traders seeking consistent scalps with a proven win rate above 95–98% in optimal conditions. How It Works The script monitors price action in 5-minute intervals, forming a 15-minute high and low range by tracking the highs and lows of the first 3 consecutive 5-minute candles starting from a custom time. In the next 3 candles, it waits for a breakout above the 15m high or below the 15m low while confirming market bias using custom equilibrium zones. Buy signals trigger when price breaks the 15m high while in a discount zone Sell signals trigger when price breaks the 15m low while in a premium zone The strategy simulates trades with fixed 3-5 pip take profit and stop loss values (configurable). All trades are recorded in a table with live trade results and an automatically updated win rate, typically achieving over 90–95% accuracy in favorable market conditions. Features Designed exclusively for the 5-minute timeframe Custom 15-minute high/low breakout logic Premium, Discount, and Equilibrium zone display Built-in backtest tracker with live trade results, statistics, and win rate Customizable start time, take profit, and stop loss settings Real-time alerts on breakout signals Visual markers for trade entries and failed trades Consistent win rate exceeding 90–95% on average when following market conditions Usage Tips Use strictly on 5-minute charts for accurate signal performance. Avoid during high-impact news releases. Important: Once a trade is opened, manually set your take profit at +3 to +5 pips immediately to secure the move, as these quick scalps often hit the target within a single candle. This prevents missed exits during rapid price action.
Indicatore Pine Script®
di alghamdi_meriam
1
[Mad]Triple Bollinger Bands ForecastTriple Bollinger Bands Forecast (BBx3+F) This open-source indicator is an advanced version of the classic Bollinger Bands, designed to provide a more comprehensive and forward-looking view of market volatility and potential price levels. It plots three distinct sets of Bollinger Bands and projects them into the future based on statistical calculations. How It Is Built and Key Features Triple Bollinger Bands: Instead of a single set of bands, this indicator plots three. All three share the same central basis line (a Simple Moving Average), but each has a different standard deviation multiplier. This creates three distinct volatility zones for analyzing price deviation from its mean. Multi-Timeframe (MTF) Capability: The indicator can calculate and display Bollinger Bands from a higher timeframe (e.g., showing daily bands on a 4-hour chart). This allows for contextualizing price action within the volatility structure of a more significant trend. (Lower HTF selection will result in script-crash!) Future Forecasting: This is the indicator's main feature. It projects the calculated Bollinger Bands up to 8 bars into the future. This forecast is a recalculation of the Simple Moving Average and Standard Deviation based on a projected future source price. Selectable Forecast Methods: The mathematical model for estimating the future source price can be selected: Flat: A model that uses the most recent closing price as the price for all future bars in the calculation window. Linreg (Linear Regression): A model that calculates a linear regression trend on the last few bars and projects it forward to estimate the future source price. Efficient Drawing with Polylines: The future projections are drawn on the chart using Pine Script's polyline object. This is an efficient method that draws the forecast data only on the last bar, which avoids repainting issues. Differences from a Classical Bollinger Bands Indicator Band Count: A classical indicator shows one set of bands. This indicator plots three sets for a multi-layered view of volatility. Perspective: Classical Bollinger Bands are purely historical. This indicator is both historical and forward-looking . Forecasting: The classic version has no forecasting capability. This indicator projects the bands into the future . Timeframe: The classic version works only on the current timeframe. This indicator has full Multi-Timeframe (MTF) support . The Mathematics Behind the Future Predictions The core challenge in forecasting Bollinger Bands is that a future band value depends on future prices, which are unknown. This indicator solves this by simulating a future price series. Here is the step-by-step logic: Forecast the Source Price for the Next Bar First, the indicator estimates what the price will be on the next bar. Flat Method: The forecasted price is the current bar's closing price. Price_forecast = close Linreg Method: A linear regression is calculated on the last few bars and extrapolated one step forward. Price_forecast = ta.linreg(close, linreglen, 1) Calculate the Future SMA (Basis) To calculate the Simple Moving Average for the next bar, a new data window is simulated. This window includes the new forecasted price and drops the oldest historical price. For a 1-bar forecast, the calculation is: SMA_future = (Price_forecast + close + close + ... + close ) / length Calculate the Future Standard Deviation Similarly, the standard deviation for the next bar is calculated over this same simulated window of prices, using the new SMA_future as its mean. // 1. Calculate the sum of squared differences from the new mean d_f = Price_forecast - SMA_future d_0 = close - SMA_future // ... and so on for the rest of the window's prices SumOfSquares = (d_f)^2 + (d_0)^2 + ... + (d_length-2)^2 // 2. Calculate future variance and then the standard deviation Var_future = SumOfSquares / length StDev_future = sqrt(Var_future) Extending the Forecast (2 to 8 Bars) For forecasts further into the future (e.g., 2 bars), the script uses the same single Price_forecast for all future steps in the calculation. For a 2-bar forecast, the simulated window effectively contains the forecasted price twice, while dropping the two oldest historical prices. This provides a statistically-grounded projection of where the Bollinger Bands are likely to form. Usage as a Forecast Extension This indicator's functionality is designed to be modular. It can be used in conjunction with as example Mad Triple Bollinger Bands MTF script to separate the rendering of historical data from the forward-looking forecast. Configuration for Combined Use: Add both the Mad Triple Bollinger Bands MTF and this Triple Bollinger Bands Forecast indicator to your chart. Open the Settings for this indicator (BBx3+F). In the 'General Settings' tab, disable the Activate Plotting option. To ensure data consistency, the Bollinger Length, Multipliers, and Higher Timeframe settings should be identical across both indicators. This configuration prevents the rendering of duplicate historical bands. The Mad Triple Bollinger Bands MTF script will be responsible for visualizing the historical and current bands, while this script will overlay only the forward-projected polyline data.
Indicatore Pine Script®
di djmad
DaringBull Arvind MACD GAPS MA CrossoverTo generate buy and sell signals based on a combination of MACD crossover events and histogram behavior, particularly around the zero line. This is used to identify early momentum reversals for entry and exit points in the market. 📐 MACD Setup Uses customizable MACD parameters (defaults: Fast = 12, Slow = 26, Signal = 9). Calculates: MACD Line Signal Line Histogram (difference between MACD and Signal) ✅ Buy Conditions A buy signal is plotted when all three of the following occur: MACD Line crosses above Signal Line (bullish crossover). MACD Line is still below or near the zero line (< 0.05) – indicates early reversal from a bearish zone. First green histogram bar appears (current bar is > 0 and previous was ≤ 0) – confirming momentum shift. ➡️ When these align, a blue circle is plotted below the price bar. ❌ Sell Conditions A sell signal is plotted when all three of the following occur: MACD Line crosses below Signal Line (bearish crossover). MACD Line is still above or near the zero line (> -0.05) – indicates early weakness after a bullish move. First red histogram bar appears (current bar is < 0 and previous was ≥ 0) – confirming loss of momentum. ➡️ When these align, a red circle is plotted above the price bar. 📊 Visualization Buy/Sell markers appear on the price chart for visual entry/exit cues. MACD line, Signal line, and Zero line are optionally plotted for deeper analysis. 📌 Key Insights This script aims to enter trades early in trend reversals by using MACD in conjunction with histogram shifts near the zero line. It's especially useful in gap trading, mean reversion, or breakout confirmation setups. The optional plot toggle allows switching between overlay and non-overlay views.
Indicatore Pine Script®
di arvindrang
Market Generated InformationCredits Original Author: mcthatsme Remixed to add in London's High and Low Overview The Market Generated Information (MGI Levels v2) is a comprehensive technical analysis. It overlays key price levels from daily, weekly, and monthly timeframes on a chart, providing traders with critical market reference points such as Open, High, Low, Close, Volume Weighted Average Price (VWAP), and standard deviation bands. These levels help traders identify potential support, resistance, and pivot points for intraday and longer-term trading strategies. The indicator is highly customizable, allowing users to tailor the displayed levels, colors, line styles, and label settings to their preferences. Features Multi-Timeframe Levels: Displays key price levels from daily, weekly, and monthly sessions, including Open, High, Low, Close, VWAP, and VWAP standard deviation bands (SD1, SD2, SD3). Session-Based Calculations: Supports Regular Trading Hours (RTH) and Extended Trading Hours (ETH) for stocks and futures, with specific session times for New York, London, and overnight sessions. Customizable Display: Users can toggle the visibility of specific levels, adjust line styles (solid, dashed, dotted), colors, thicknesses, and label settings (size, offset, and price inclusion). Opening Range and Initial Balance: Plots the Opening Range (default: 9:30–10:00 AM EST) and Initial Balance (default: 9:30–10:30 AM EST) for intraday traders. Tested Level Tracking: Optionally tracks untested or tested levels, hiding or showing them based on user preferences. Overnight and T+2 Levels: Includes overnight high/low and T+2 (two days prior) levels for additional context. VWAP Calculations: Computes VWAP and its standard deviation bands for daily, weekly, and monthly periods. Holiday and Session Filters: Adjusts for market-specific conditions, such as Good Friday or shortened trading sessions. Inputs and Customization The indicator is organized into three main groups: Daily Levels, Weekly Levels, and Monthly Levels. Each group allows users to configure the following: Visibility: Toggle whether to show levels (e.g., Show Daily Levels, Show Weekly Levels). Session Times: Define session ranges (e.g., New York RTH: 9:30 AM–4:00 PM EST, Opening Range: 9:30–10:00 AM EST). Line and Label Settings: Customize line colors, styles (solid, dashed, dotted), thickness, label text size (Tiny, Small, Normal, Large, Huge), label offset, and whether to include price values in labels. Number of Periods: Specify how many previous days (1–40), weeks (1–20), or months (1–12) to display. Tested/Untested Levels: Choose to keep untested levels or show tested levels (Open, High, Low, Close). Timeframe for Calculations: Option to use a 30-second or 1-minute timeframe for Opening Range and Initial Balance calculations to accommodate different TradingView plans. Key Levels Daily Levels: Includes Current Day High/Low, Previous Day High/Low, Opening Range High/Mid/Low, Initial Balance High/Mid/Low, Globex Open, RTH Open, Midnight Open, London Open/Close/High/Low, Previous Day 50% (HL2/OC2), T+2 Open/Close/High/Low, Overnight High/Low, RTH Close, 5 PM Close, and VWAP with standard deviation bands. Weekly Levels: Previous Week High/Low, 50% (HL2/OC2), Current Week Open, Previous Week Close, and VWAP with standard deviation bands. Monthly Levels: Previous Month High/Low, 50% (HL2/OC2), Current Month Open, Previous Month Close, and VWAP with standard deviation bands. Troubleshooting Levels Not Displaying: Check if the timeframe is ≤ 30 minutes for daily levels and ensure session times are correct for your market. Incorrect Prices: Verify that extended hours are enabled for ETH charts or disabled for RTH-only charts. Too Many Lines/Labels: Reduce the number of previous days/weeks/months or disable unneeded levels. Session Errors: Ensure session times are in UTC-5 (New York time) and match your asset’s trading hours. License This script is licensed under the Mozilla Public License 2.0. See mozilla.org for details.
Indicatore Pine Script®
di shamayimshoresh
PE Bands w/ Persistent EPS ProxyThis Pine Script is a valuation overlay for any stock or index, built around the idea of tracking and projecting P/E (Price-to-Earnings) multiple bands using trailing EPS and a growth assumption. Here's a full breakdown: 🔍 Purpose: To visualize price bands based on valuation multiples (like 16x, 18x, 20x, etc.) of forward EPS, estimated from actual reported EPS over the last 4 quarters. 🧱 Core Components: ✅ @version=6 Specifies the latest Pine Script version (v6), ensuring compatibility with the newest syntax. ✅ indicator(...) Declares a chart overlay indicator titled 'PE Bands w/ Persistent EPS Proxy', meaning the plots will appear on top of the price chart. 1. 📈 Growth Assumption Input pinescript Copy Edit Growth = input.float(1.08, 'Growth') User input for projected forward EPS growth (default: +8%). This models earnings growth from trailing 12 months to forward 12 months. 2. 🧮 Retrieve EPS Data pinescript Copy Edit epsRaw = request.earnings(syminfo.tickerid, earnings.actual, gaps = barmerge.gaps_off) Uses the built-in request.earnings() function to fetch actual EPS. Works with any symbol that supports earnings data. barmerge.gaps_off ensures EPS only shows on report bars (not filled in between). 3. 🧠 Persistent Memory for Last 4 EPS Values pinescript Copy Edit var float eps1 = na ... if not na(epsRaw) eps4 := eps3 eps3 := eps2 eps2 := eps1 eps1 := epsRaw Implements a shift register: keeps track of the last 4 quarterly EPS values, so it can compute a full TTM (trailing 12-month) EPS even though epsRaw only updates quarterly. 4. 📊 Trailing 12-Month EPS pinescript Copy Edit epsTTM = na(eps1) or na(eps2) or na(eps3) or na(eps4) ? na : eps1 + eps2 + eps3 + eps4 Sums the most recent 4 quarters to get a TTM earnings proxy. If any value is still na, the result is na. 5. 🔮 Forward EPS Estimation pinescript Copy Edit fwdEPS = epsTTM * Growth Projects forward EPS using a growth multiplier (1.08 = +8%). You could customize this to vary over time (e.g., macro-modelled growth). 6. 📐 Valuation Bands pinescript Copy Edit pe16 = fwdEPS * 16 ... pe24 = fwdEPS * 24 Calculates price levels the stock/index would be trading at under different valuation multiples of forward EPS. These become bands: 16x, 18x, 20x, etc. 7. 📉 Plot Bands pinescript Copy Edit plot(pe16, ...) ... plot(pe24, ...) Draws horizontal or sloped bands that reflect valuation ranges. If SPX is above the 22x or 24x band, you might consider the market overvalued. If it’s near 16x, potentially undervalued (depending on forward EPS quality). ✅ Summary: This is a dynamic, earnings-based valuation overlay for use on equity or index charts. It uses: Real EPS data (as it gets reported) Persistent memory to calculate trailing 12M EPS Growth modeling to estimate forward EPS Price targets for different forward P/E multiples
Indicatore Pine Script®
di StonkSlinger
Market Strength Dashboard🚀 What It Does: The indicator gives you a real-time dashboard showing three things: ✅ Trend Direction Uses EMA 50 vs EMA 200. Bullish: EMA 50 is above EMA 200 → Price favors upside swing. Bearish: EMA 50 is below EMA 200 → Price favors downside swing. Neutral: EMAs are equal → No clear trend. ✅ Momentum Strength Uses RSI (Relative Strength Index). Strong Bullish: RSI > 55 → Buyers in control. Strong Bearish: RSI < 45 → Sellers in control. Neutral: RSI between 45–55 → No strong momentum, usually sideways or uncertain. ✅ Volatility State (Expansion/Consolidation) Uses Bollinger Band Width. Measures if price is: Expanding: BB Width increasing → Market opening up, volatility rising, often precedes large moves or breakouts. Contracting: BB Width shrinking → Market compressing, often leads to tight ranges or consolidation. Stable: No change in BB Width → Range behavior or calm trend. 🔥 How It Works Behind the Scenes: EMA Cross Check: → Looks at whether the faster EMA (50) is above or below the slower EMA (200). RSI Scan: → Reads current RSI level to determine momentum strength. Bollinger Band Width Scan: → Calculates the distance between the upper and lower Bollinger Bands to detect if price is expanding or compressing. Dashboard Output: → Combines all this into a floating label on the chart like: “Trend: Bullish | Momentum: Strong Bullish | Volatility: Expanding” 🏆 How to Use It — Simple Rules for Swing or Day Trading: 🔥 Ideal Swing Trade Setup: → ✅ Trend: Bullish → ✅ Momentum: Strong Bullish → ✅ Volatility: Expanding → → Take long setups → pullbacks to EMA50 or previous highs → ride the trend. → ❌ If Trend is Neutral or Volatility is Contracting, skip the trade — market is chopping. 🔥 Ideal Day Trade Setup: Look for Volatility Expanding → confirms active session/move. Pair it with either Trend Bullish + Momentum Bullish for longs → Or Trend Bearish + Momentum Bearish for shorts. 🔥 When Not to Trade: Trend Neutral + Momentum Neutral + Contracting Volatility → Sideways chop → No trade zone. 🔥 Breakout Watch Strategy: When volatility shifts from Contracting → Expanding, expect a breakout. → Look for the first candle that pushes away from the Bollinger squeeze. 📊 How To Combine With Other Setups: → ✅ Add this dashboard to any chart to instantly know: Should I be thinking up, down, or neither? Is this market about to move big or stay stuck? Pair it with: Your price action entries. Support/resistance levels. Candle patterns. Trendline or liquidity breaks. 🧠 Bottom Line: → This is a market condition scanner, not a signal generator. → It tells you: “Should I trade? What’s the direction? Is the market moving or stuck?” → You still choose the entry — this tool tells you when conditions are ideal or not.
Indicatore Pine Script®
di Josh-PT
Doji Ashi v2.0Doji Ashi v2.0 A versatile intraday trading indicator designed for both stocks and crypto, based on real trader feedback and tested principles. ... Introduction & Acknowledgements This script was made possible thanks to the ongoing feedback and live testing by the TradingView and Reddit communities. Special thanks to: Nathan_Drake_000 Disastrous-Stand4613 Lalelulilo_ph Jtri25 Each provided insights that directly shaped the filters, presets, and signal logic found in this release. Much of the philosophy behind this indicator is inspired by the free Reddit PDF: The Damn Wiki I highly recommend reading it to better understand the edge this indicator is trying to provide. ... What is Doji Ashi v2.0? This indicator is designed for short-term intraday momentum trading, offering Buy and Sell signals based on a refined combination of filters including: Trend alignment with daily SMAs Momentum confirmation using EMA 3/8 cross Relative volume to identify activity spikes VWAP positioning to confirm trend consistency Time filters to avoid unreliable early market chop It adapts dynamically depending on whether you’re trading Stocks or Crypto, with appropriate filters toggled automatically. ... How the Script Works Core Logic: A Buy signal appears when: The price is in an uptrend (via SMAs) VWAP and volume confirm momentum EMA 3 crosses above EMA 8 Relative strength is strong (if enabled) Market opens past first 30 mins A Sell signal appears when: The asset shows weakness across these same filters, in reverse You’ll see green “BUY” or red “SELL” markers on your chart instantly when the full condition set is met. This script does not repaint. Entry Logic Options: Choose between: "Cross" mode: Signals appear on 3/8 EMA crossover "Above/Below" mode: Persistent signal while 3 EMA stays above/below 8 EMA ... Strategy for Consistent Gains This script works best on liquid stocks such as LUNR, ASTS and PLUG. It also works with Crypto. Make sure you choose the correct indicator setup type (Stocks or Crypto) in the setting before testing. If you don't see any signals the default settings may be too strict for your chosen stock. Have a play with the settings to find the right balance for you. The default settings follow the strategy below for what I believe are currently the best results. Alerts for buy/sell signals can be set from the alerts menu. For best results, make sure you set the alert to action on close of bar. This indicator is most effective when: Used with liquid stocks or crypto Entries are confirmed with VWAP, not counter-trend Signals are filtered by volume spikes and trend direction Example strategy: Buy a Call when you see a BUY signal with high volume, in an uptrend Exit on a cross back to VWAP (the orange line) or a quick 1% profit Do the opposite with PUTs on a SELL signal This is ideal for quick day trades (scalps or trend moves), and avoids the choppy, uncertain zones at market open. ... Optimizing via Settings There are additional, stricter filters in the settings. Please adapt to your preference. Presets: Stocks (Default): Applies all filters but lets you disable them as needed Crypto: Disables stock-specific filters (SPY comparison, RS, Daily trend) Filters: Daily Trend Filter: Helps align trades with higher timeframe direction (recommended ON for stocks) Market Trend & RS: Filters based on SPY and relative performance (test enabling for SPY-following tickers) VWAP Entry Filter: Keeps you from fighting the dominant intraday trend Ignore First 30 Minutes: Avoids false signals at the open Experiment with toggling filters ON/OFF to match your asset class and volatility conditions. ... Finally The best way to master this indicator is to understand the trading mindset it came from. Read The Damn Wiki — it’s free, comprehensive, and packed with wisdom that this script distills into a usable tool. If you would like to adapt this indicator you are very welcome to do so. All I ask in return is that you share your findings with the wider community. ... Happy trading. May your entries be sharp and your exits cleaner. ~ @SassyStonks
Indicatore Pine Script®
di LillyStocks
7
Opening Range Breakout (ORB) with Fib RetracementOverview “ORB with Fib Retracement” is a Pine Script indicator that anchors a full Fibonacci framework to the first minutes of the trading day (the opening-range breakout, or ORB). After the ORB window closes the script: Locks-in that session’s high and low. Calculates a complete ladder of Fibonacci retracement levels between them (0 → 100 %). Projects symmetric extension levels above and below the range (±1.618, ±2.618, ±3.618, ±4.618 by default). Sub-divides every extension slice with additional 23.6 %, 38.2 %, 50 %, 61.8 % and 78.6 % mid-lines so each “zone” has its own inner fib grid. Plots the whole structure and—optionally—extends every line into the future for ongoing reference. **Session time / timezone** – Defines the ORB window (defaults 09:30–09:45 EST). **Show All Fib Levels** – Toggles every retracement and extension line on or off. **Show Extended Lines** – Draws dotted, extend-right projections of every level. **Color group** – Assigns colors to buy-side (green), sell-side (red), and internal fibs (gray). **Extension value inputs** – Allows custom +/- 1.618 to 4.618 fib levels for personalized projection zones.
Indicatore Pine Script®
di gggoaaat
6
RSI OB/OS THEDU 999//@version=6 indicator("RSI OB/OS THEDU 999", overlay=false) //#region Inputs Section // ================================ // Inputs Section // ================================ // Time Settings Inputs startTime = input.time(timestamp("1 Jan 1900"), "Start Time", group="Time Settings") endTime = input.time(timestamp("1 Jan 2099"), "End Time", group="Time Settings") isTimeWindow = time >= startTime and time <= endTime // Table Settings Inputs showTable = input.bool(true, "Show Table", group="Table Settings") fontSize = input.string("Auto", "Font Size", options= , group="Table Settings") // Strategy Settings Inputs tradeDirection = input.string("Long", "Trade Direction", options= , group="Strategy Settings") entryStrategy = input.string("Revert Cross", "Entry Strategy", options= , group="Strategy Settings") barLookback = input.int(10, "Bar Lookback", minval=1, maxval=20, group="Strategy Settings") // RSI Settings Inputs rsiPeriod = input.int(14, "RSI Period", minval=1, group="RSI Settings") overboughtLevel = input.int(70, "Overbought Level", group="RSI Settings") oversoldLevel = input.int(30, "Oversold Level", group="RSI Settings") //#endregion //#region Font Size Mapping // ================================ // Font Size Mapping // ================================ fontSizeMap = fontSize == "Auto" ? size.auto : fontSize == "Small" ? size.small : fontSize == "Normal" ? size.normal : fontSize == "Large" ? size.large : na //#endregion //#region RSI Calculation // ================================ // RSI Calculation // ================================ rsiValue = ta.rsi(close, rsiPeriod) plot(rsiValue, "RSI", color=color.yellow) hline(overboughtLevel, "OB Level", color=color.gray) hline(oversoldLevel, "OS Level", color=color.gray) //#endregion //#region Entry Conditions // ================================ // Entry Conditions // ================================ buyCondition = entryStrategy == "Revert Cross" ? ta.crossover(rsiValue, oversoldLevel) : ta.crossunder(rsiValue, oversoldLevel) sellCondition = entryStrategy == "Revert Cross" ? ta.crossunder(rsiValue, overboughtLevel) : ta.crossover(rsiValue, overboughtLevel) // Plotting buy/sell signals plotshape(buyCondition ? oversoldLevel : na, title="Buy", location=location.absolute, color=color.green, style=shape.labelup, text="BUY", textcolor=color.white, size=size.small) plotshape(sellCondition ? overboughtLevel : na, title="Sell", location=location.absolute, color=color.red, style=shape.labeldown, text="SELL", textcolor=color.white, size=size.small) // Plotting buy/sell signals on the chart plotshape(buyCondition, title="Buy", location=location.belowbar, color=color.green, style=shape.triangleup, text="BUY", textcolor=color.white, size=size.small , force_overlay = true) plotshape(sellCondition, title="Sell", location=location.abovebar, color=color.red, style=shape.triangledown, text="SELL", textcolor=color.white, size=size.small, force_overlay = true) //#endregion //#region Returns Matrix Calculation // ================================ // Returns Matrix Calculation // ================================ var returnsMatrix = matrix.new(0, barLookback, 0.0) if (tradeDirection == "Long" ? buyCondition : sellCondition ) and isTimeWindow newRow = array.new_float(barLookback) for i = 0 to barLookback - 1 entryPrice = close futurePrice = close ret = (futurePrice - entryPrice) / entryPrice * 100 array.set(newRow, i, math.round(ret, 4)) matrix.add_row(returnsMatrix, matrix.rows(returnsMatrix), newRow) //#endregion //#region Display Table // ================================ // Display Table // ================================ var table statsTable = na if barstate.islastconfirmedhistory and showTable statsTable := table.new(position.top_right, barLookback + 1, 4, border_width=1, force_overlay=true) // Table Headers table.cell(statsTable, 0, 1, "Win Rate %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap) table.cell(statsTable, 0, 2, "Mean Return %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap) table.cell(statsTable, 0, 3, "Median Return %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap) // Row Headers for i = 1 to barLookback table.cell(statsTable, i, 0, str.format("{0} Bar Return", i), bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap) // Calculate Statistics meanReturns = array.new_float() medianReturns = array.new_float() for col = 0 to matrix.columns(returnsMatrix) - 1 colData = matrix.col(returnsMatrix, col) array.push(meanReturns, array.avg(colData)) array.push(medianReturns, array.median(colData)) // Populate Table for col = 0 to matrix.columns(returnsMatrix) - 1 colData = matrix.col(returnsMatrix, col) positiveCount = 0 for val in colData if val > 0 positiveCount += 1 winRate = positiveCount / array.size(colData) meanRet = array.avg(colData) medianRet = array.median(colData) // Color Logic winRateColor = winRate == 0.5 ? color.rgb(58, 58, 60) : (winRate > 0.5 ? color.rgb(76, 175, 80) : color.rgb(244, 67, 54)) meanBullCol = color.from_gradient(meanRet, 0, array.max(meanReturns), color.rgb(76, 175, 80), color.rgb(0, 128, 0)) meanBearCol = color.from_gradient(meanRet, array.min(meanReturns), 0, color.rgb(255, 0, 0), color.rgb(255, 99, 71)) medianBullCol = color.from_gradient(medianRet, 0, array.max(medianReturns), color.rgb(76, 175, 80), color.rgb(0, 128, 0)) medianBearCol = color.from_gradient(medianRet, array.min(medianReturns), 0, color.rgb(255, 0, 0), color.rgb(255, 99, 71)) table.cell(statsTable, col + 1, 1, str.format("{0,number,#.##%}", winRate), text_color=color.white, bgcolor=winRateColor, text_size=fontSizeMap) table.cell(statsTable, col + 1, 2, str.format("{0,number,#.###}%", meanRet), text_color=color.white, bgcolor=meanRet > 0 ? meanBullCol : meanBearCol, text_size=fontSizeMap) table.cell(statsTable, col + 1, 3, str.format("{0,number,#.###}%", medianRet), text_color=color.white, bgcolor=medianRet > 0 ? medianBullCol : medianBearCol, text_size=fontSizeMap) //#endregion // Background color for OB/OS regions bgcolor(rsiValue >= overboughtLevel ? color.new(color.red, 90) : rsiValue <= oversoldLevel ? color.new(color.green, 90) : na)
Indicatore Pine Script®
di thedu2706
EPS and Sales Magic Indicator V2EPS and Sales Magic Indicator V2 EPS and Sales Magic Indicator V2 Short Title: EPS V2 Author: Trading_Tomm Platform: TradingView (Pine Script v6) License: Free for public use under fair usage guidelines Overview The EPS and Sales Magic Indicator V2 is a powerful stock fundamental visualization tool built specifically for TradingView users who wish to incorporate earnings intelligence directly onto their price chart. Designed and developed by Trading_Tomm, this upgraded version of the original 'EPS and Sales Magic Indicator' includes an enriched and more insightful presentation of company performance metrics — now with TTM EPS support, advanced color-coding, label sizing, and refined control options. This indicator is tailored for retail traders, swing investors, and long-term fundamental analysts who need to view Quarter-over-Quarter (QoQ) earnings and revenue changes directly on the price chart without switching tabs or breaking focus. What Does It Display? The EPS and Sales Magic Indicator V2 intelligently detects quarterly financial updates and displays the following data points via labels: 1. EPS (Earnings Per Share) – Current Quarterly Value This is the most recent Diluted EPS published by the company, fetched using TradingView’s request.financial() function. Displayed in the format: EPS: ₹20.45 2. EPS QoQ Percentage Change Shows the percentage change in EPS compared to the previous quarter. Highlights improvement or decline using arrows (up for improvement, down for decline). Displayed in the format: EPS: ₹20.45 (up 15.3 percent) 3. Sales (Revenue) – Current Quarterly Value Fetches and displays Total Revenue of the company in ₹Crores for easier Indian-market readability. Displayed in the format: Sales: ₹460Cr 4. Sales QoQ Percentage Change Measures and presents the quarter-over-quarter percentage change in total revenue. Uses arrows to indicate growth or contraction. Displayed in the format: Sales: ₹460Cr (down 3.8 percent) 5. EPS TTM (Trailing Twelve Months) You now get the TTM EPS — the sum of the last four quarterly EPS values. This value provides a better long-term earnings snapshot compared to a single quarter. Displayed in the format: TTM EPS: ₹78.12 All of these values are automatically calculated and displayed only on the bars where a new financial report is detected, keeping your chart clean and insightful. Customization Features This indicator is built with user control in mind, allowing you to personalize how and what you want to see: Show EPS in Label: Enable or disable the display of EPS and EPS QoQ values. Show Sales in Label: Toggle the visibility of revenue and sales change percentage. Color Options for Label Themes: The label background color is automatically determined based on performance. Green: Both EPS and Sales increased QoQ. Red: Both decreased. Orange: One increased and the other decreased. Gray: Default color (if values are unavailable or mixed). Label Text Size: Choose from Tiny, Small (default), or Normal. Visual Design Placement: The labels are positioned just below the candlesticks using yloc.belowbar, so they do not obstruct price action or interfere with technical indicators. Anchor: Aligned precisely with the financial reporting bars to maintain clarity in historical comparisons. Background Style: Clean, semi-transparent styling with soft text colors for comfortable viewing. How It Works The indicator relies on TradingView’s powerful request.financial() function to extract fiscal quarterly financials (FQ). Internally, it uses detection logic to identify fresh data updates by comparing current vs. previous values, arithmetic to compute QoQ percentage changes in EPS and Sales, logic to build formatted labels dynamically based on user selections, and conditional color and sizing logic to enhance interpretability. Use Cases For Long-Term Investors: Quickly identify if a company’s profitability and revenue are improving over time. For Swing Traders: Combine recent earnings trends with price action to evaluate if post-result momentum has real backing. For Technical and Fundamental Traders: Layer it with moving averages, RSI, or volume to create a hybrid analysis environment. Limitations and Notes Financial data is provided by TradingView’s financial API, and occasional missing values may occur for less-covered stocks. This tool does not repaint but depends on the timing of the official financial updates. All values are rounded and formatted to prioritize readability. Works best on Daily or higher timeframes (weekly or monthly also supported). License and Fair Use This script is free to use and share under TradingView’s open-use guidelines. You may copy, fork, and build upon this indicator for personal or educational purposes, but commercial usage requires attribution to the author: Trading_Tomm. Future Enhancements (Planned) Addition of Net Profit (QoQ and TTM) Inclusion of Operating Margin, Profit Margin, and Book Value Option to switch between numeric and graphical display (table mode) Alerts on extreme earnings deviation or sales slumps Final Thoughts The EPS and Sales Magic Indicator V2 represents a clean, visual, and smart way to monitor a company’s core performance from your chart screen. It helps you align fundamental strength with technical strategies and provides instant financial clarity, which is especially vital in today’s fast-moving markets. Whether you’re preparing for an earnings season or scanning past performance to pick your next investment, this indicator saves time, enhances insights, and sharpens decisions.
Indicatore Pine Script®
di Trading_Tomm
Rolling Correlation (Forex)//@version=5 indicator("Rolling Correlation (Forex)", shorttitle="ρ-Corr", overlay = false) // ── User inputs ──────────────────────────────────────────────────────────────── sym1 = input.symbol("FX_IDC:EURUSD", "First symbol") // Change if your broker uses another prefix sym2 = input.symbol("FX_IDC:GBPUSD", "Second symbol") len = input.int(20, "Look-back length", minval = 2) // ── Pull closing prices from both symbols on the chart’s timeframe ──────────── p1 = request.security(sym1, timeframe.period, close, barmerge.gaps_off, barmerge.lookahead_on) p2 = request.security(sym2, timeframe.period, close, barmerge.gaps_off, barmerge.lookahead_on) // ── Convert to log-returns (removes price-level bias) ───────────────────────── r1 = math.log(p1 / p1 ) r2 = math.log(p2 / p2 ) // ── Rolling Pearson correlation ─────────────────────────────────────────────── corr = ta.correlation(r1, r2, len) // ── Plot ────────────────────────────────────────────────────────────────────── plot(corr, title = "ρ", linewidth = 2) hline( 1, "+1 (perfect)", color = color.green) hline( 0, "0", color = color.gray) hline(-1, "-1 (inverse)", color = color.red)
Indicatore Pine Script®
di ARasheedM
NEIROCTO Impulse Watcher (Alert Ready) 📡 Zazulya Radar — Full System This indicator combines key elements for short-term trend identification and volume-driven impulse detection: - EMA 9 and EMA 21 for trend phase analysis - VWAP for intraday price equilibrium - Bollinger Bands for volatility breakout zones - RSI for identifying overbought/oversold moments - Volume + SMA(20) for accumulation/distribution patterns Perfect for scalping, grid trading and sniper entries in volatile markets.
Indicatore Pine Script®
di babcinetchi268
NEIROCTO Impulse Watcher (Alert Ready)//@version=5 indicator("NEIROCTO Combo Watcher (Pump vs Dump)", overlay=true) // === RSI и его производные === rsi = ta.rsi(close, 14) rsi_sma = ta.sma(rsi, 5) rsi_up = rsi > rsi_sma rsi_down = rsi < rsi_sma // === Волатильность === volatility = math.abs(close - close ) / close * 100 volatility_trigger = volatility > 3 // === Объёмы === volume_sma = ta.sma(volume, 20) volume_up = volume > volume_sma // === Условие пампа === pump_condition = rsi > 45 and rsi_up and volatility_trigger and volume_up // === Условие отката === dump_condition = rsi < 40 and rsi_down and volatility_trigger and volume_up // === Фон === bgcolor(pump_condition ? color.new(color.green, 85) : na) bgcolor(dump_condition ? color.new(color.red, 85) : na) // === Метки === plotshape(pump_condition, title="🚀 PUMP Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="🚀") plotshape(dump_condition, title="⚠️ DUMP Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="⚠️") // === Алерты === alertcondition(pump_condition, title="🚀 NEIROCTO: Возможен памп!", message="🚀 RSI ↑, Волатильность >3%, Объёмы высокие — возможен памп!") alertcondition(dump_condition, title="⚠️ NEIROCTO: Возможен откат!", message="⚠️ RSI ↓, Волатильность >3%, объёмы растут — возможен откат!")
Indicatore Pine Script®
di babcinetchi268
RSI Divergence StrategyScript identifies bullish and bearish divergences, hidden and regular. Accurate on all timeframes. There are several videos on trading with a divergence strategy, but the divergences are hard to spot. These can be adjusted but chat gpt independently checked various token vitals and compared to the chart, and found the chart accurate with current settings. lookback = input.int(40, title="Lookback Period for Divergence") (30-60) minSwingDistPercent = input.float(1.5, title="Minimum Swing Distance (%)") (0.5-2.0) minPriceMovePercent = input.float(0.5, title="Minimum Price Move from Last Swing (%)") (0.5-2.0)
Strategia Pine Script®
di joejett