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OBV PanelOBV Panel – Volume-Based Price Prediction & Signal Dashboard Powered by Pine Script v6 🔍 Overview This multi-functional indicator is designed around the On-Balance Volume (OBV) concept, enhancing it with prediction models, trend tracking, and actionable buy/sell signals. It uses a combination of real-time OBV movement, smoothed OBV with EMA, and linear regression-based OBV forecasts to deliver both intraday and weekly insights — all neatly displayed in a table panel and directly plotted on your chart. ⚙️ Core Components 📌 1. OBV Core OBV is calculated based on volume flowing into or out of a stock as price moves up or down. Tracks raw OBV and its EMA (Exponential Moving Average) for smoother trend reading. Computes a Predicted OBV using Linear Regression (ta.linreg) over a user-defined number of bars. 🔮 2. Predicted Price Forecast Uses OBV percentage changes combined with a user-set sensitivity factor to project next day’s expected price. Offers an AI-style price forecast based on OBV strength, not just price action. 💹 3. Buy/Sell Signal Logic Daily Signals: Triggered when OBV, OBV EMA, and Predicted OBV all move upward or downward from the previous day. Weekly Signals: Based on EMA changes over a 5-bar period (approx. 1 week). Signal markers are drawn on the chart for visual reference. 📊 Table Panel (Top-Right Overlay) A detailed visual panel shows: Metric Description OBV, OBV EMA, Predicted OBV From previous close to current value OBV - Predicted OBV Difference In lakhs (scaled for readability) % Change Stats Daily percentage change in OBV, EMA, and Predicted OBV Weekly OBV EMA Change Actual & % change over 5 bars Signal Summary BUY/SELL or HOLD based on logic OBV Dominance Whether OBV > EMA and Predicted OBV Predicted Price (Next Day) Based on OBV dynamics and sensitivity
Pine Script® göstergesi
raghavprakash05 tarafından
Sterke Trendwissel SignalenOverview The indicator combines three technical analysis tools to generate strong buy and sell signals: Moving Averages (MA): Short-term (9-period) and long-term (21-period) simple moving averages. Relative Strength Index (RSI): A 14-period RSI to measure overbought and oversold conditions. Volume: A volume multiplier (1.2x) compared to the average volume over 20 periods. Signals The indicator generates two types of signals: Strong Buy: When the short-term MA crosses above the long-term MA (bullish crossover), the relative volume is above the threshold (1.2x average), and the RSI is oversold (< 30). Strong Sell: When the short-term MA crosses below the long-term MA (bearish crossover), the relative volume is above the threshold (1.2x average), and the RSI is overbought (> 70). Visualizations The indicator plots: The short-term MA (blue line) The long-term MA (orange line) "STRONG BUY" labels (green) below the bar when a strong buy signal is generated "STRONG SELL" labels (red) above the bar when a strong sell signal is generated Alerts The indicator sets up alerts for strong buy and sell signals, which can be configured in TradingView's alert system. In summary, this indicator aims to identify strong trend changes by combining moving average crossovers, high volume, and RSI overbought/oversold conditions.
Pine Script® göstergesi
Fiona_Dutch tarafından
AlphaTrend AutoTrade PRO v3.1//@version=5 // --------------------------------------------------------------------------- // AlphaTrend AutoTrade PRO v3.1 (compile‑safe, dynamic lot) // --------------------------------------------------------------------------- // – Fixed Lot OR %Equity sizing via runtime `qty` parameter // – ATR-based SL/TP + optional Trailing // – Optional filters (HTF-RSI, Session, Weekday) // – Webhook JSON + Debug Shapes // --------------------------------------------------------------------------- //──────────────────────── ① Order Size Mode ───────────────────────── accountMode = input.string("Fixed", "Order Size Mode", options= ) fixedLot = input.float(1.0, "Fixed Lot Size", step=0.1) riskPct = input.float(1.0, "% Equity Risk per Trade (if Percent)", step=0.1) // Strategy header must use constant; we pick FIXED 1 lot as default placeholder strategy("AlphaTrend AutoTrade PRO v3.1", overlay=true, default_qty_type=strategy.fixed, default_qty_value=1, initial_capital=10000, currency=currency.USD, calc_on_every_tick=false, max_bars_back=500) // Helper to compute dynamic qty each entry calcQty(bool isLong) => accountMode == "Fixed" ? fixedLot : // Percent equity: qty = (equity * pct) / price (strategy.equity * (riskPct/100.0)) / close //──────────────────────── ② AlphaTrend & Risk Inputs ─────────────── atrMult = input.float(1.0, "ATR Multiplier", step=0.05) atrLen = input.int(14, "ATR Period") slATR = input.float(1.2, "SL × ATR") tpATR = input.float(1.8, "TP × ATR") trailOn = input.bool(true, "Enable Trailing") trailStart= input.float(1.5, "Trail Start × ATR") trailOffset= input.float(1.0, "Trail Offset × ATR") //──────────────────────── ③ Filters ──────────────────────────────── htfEnable = input.bool(false, "Higher‑TF RSI filter") htfTF = input.timeframe("15", "Higher‑TF TF") rsithreshold= input.int(50, "HTF RSI Threshold", minval=10, maxval=90) sessEnable = input.bool(false, "Session filter (Bangkok)") sessionStr = input.session("1300-2300", "Active HHMM‑HHMM") dowEnable = input.bool(false, "Filter by Weekday") tradeDays = input.string("12345", "Trade days (1=Mon)") showDebug = input.bool(true, "Show Debug Shapes") secretToken = input.string("MYSECRET", "Webhook Token") //──────────────────────── ④ AlphaTrend Calc ─────────────────────── atr = ta.sma(ta.tr, atrLen) upT = low - atr*atrMult dnT = high + atr*atrMult var float at = na condUp = ta.rsi(close, atrLen) >= 50 at := condUp ? math.max(nz(at , upT), upT) : math.min(nz(at , dnT), dnT) rawLong = ta.crossover(at, at ) rawShort = ta.crossunder(at, at ) htfPassLong = not htfEnable or request.security(syminfo.tickerid, htfTF, ta.rsi(close, atrLen) > rsithreshold) htfPassShort = not htfEnable or request.security(syminfo.tickerid, htfTF, ta.rsi(close, atrLen) < rsithreshold) sessPass = not sessEnable or not na(time(timeframe.period, sessionStr)) dowPass = not dowEnable or str.contains(tradeDays, str.tostring(dayofweek)) longCond = rawLong and htfPassLong and sessPass and dowPass shortCond = rawShort and htfPassShort and sessPass and dowPass //──────────────────────── ⑤ Risk Params ─────────────────────────── slPts = atr*slATR tpPts = atr*tpATR trailP = trailOn ? atr*trailStart : na trailO = trailOn ? atr*trailOffset : na lotDesc = accountMode=="Fixed" ? str.tostring(fixedLot) : str.tostring(riskPct)+"%" //──────────────────────── ⑥ Execute & Webhook ───────────────────── if longCond lot = calcQty(true) strategy.entry("L", strategy.long, qty=lot) strategy.exit("XL", from_entry="L", stop=close-slPts, limit=close+tpPts, trail_points=trailP, trail_offset=trailO) if barstate.isconfirmed and barstate.isrealtime msg = '{"token":"'+secretToken+'","action":"buy","symbol":"'+syminfo.ticker+'","price":'+str.tostring(close)+',"sl":'+str.tostring(close-slPts)+',"tp":'+str.tostring(close+tpPts)+',"lot":"'+lotDesc+'"}' alert(msg, alert.freq_once_per_bar_close) if shortCond lot = calcQty(false) strategy.entry("S", strategy.short, qty=lot) strategy.exit("XS", from_entry="S", stop=close+slPts, limit=close-tpPts, trail_points=trailP, trail_offset=trailO) if barstate.isconfirmed and barstate.isrealtime msg = '{"token":"'+secretToken+'","action":"sell","symbol":"'+syminfo.ticker+'","price":'+str.tostring(close)+',"sl":'+str.tostring(close+slPts)+',"tp":'+str.tostring(close-tpPts)+',"lot":"'+lotDesc+'"}' alert(msg, alert.freq_once_per_bar_close) //──────────────────────── ⑦ Debug Shapes ────────────────────────── plotshape(rawLong and showDebug, title="RawLong", style=shape.circle, location=location.belowbar, color=color.aqua, size=size.tiny) plotshape(rawShort and showDebug, title="RawShort", style=shape.circle, location=location.abovebar, color=color.purple, size=size.tiny) plotshape(longCond and showDebug, title="LongOK", style=shape.arrowup, location=location.belowbar, color=color.green) plotshape(shortCond and showDebug, title="ShortOK", style=shape.arrowdown, location=location.abovebar, color=color.red) //──────────────────────── ⑧ Plot AlphaTrend ─────────────────────── col = at > at ? color.green : color.red plot(at, "AlphaTrend", color=col, linewidth=3) plot(at , "AlphaTrendLag", color=color.new(col,70), linewidth=2)
Pine Script® stratejisi
weebwm tarafından
RSI-GringoRSI-Gringo — Stochastic RSI with Advanced Smoothing Averages Overview: RSI-Gringo is an advanced technical indicator that combines the concept of the Stochastic RSI with multiple smoothing options using various moving averages. It is designed for traders seeking greater precision in momentum analysis, while offering the flexibility to select the type of moving average that best suits their trading style. Disclaimer: This script is not investment advice. Its use is entirely at your own risk. My responsibility is to provide a fully functional indicator, but it is not my role to guide how to trade, adjust, or use this tool in any specific strategy. The JMA (Jurik Moving Average) version used in this script is a custom implementation based on publicly shared code by TradingView users, and it is not the original licensed version from Jurik Research. What This Indicator Does RSI-Gringo applies the Stochastic Oscillator logic to the RSI itself (rather than price), helping to identify overbought and oversold conditions within the RSI. This often leads to more responsive and accurate momentum signals. This indicator displays: %K: the main Stochastic RSI line %D: smoothed signal line of %K Upper/Lower horizontal reference lines at 80 and 20 Features and Settings Available smoothing methods (selectable from dropdown): SMA — Simple Moving Average SMMA — Smoothed Moving Average (equivalent to RMA) EMA — Exponential Moving Average WMA — Weighted Moving Average HMA — Hull Moving Average (manually implemented) JMA — Jurik Moving Average (custom approximation) KAMA — Kaufman Adaptive Moving Average T3 — Triple Smoothed Moving Average with adjustable hot factor How to Adjust Advanced Averages T3 – Triple Smoothed MA Parameter: T3 Hot Factor Valid range: 0.1 to 2.0 Tuning: Lower values (e.g., 0.1) make it faster but noisier Higher values (e.g., 2.0) make it smoother but slower Balanced range: 0.7 to 1.0 (recommended) JMA – Jurik Moving Average (Custom) Parameters: Phase: adjusts responsiveness and smoothness (-100 to 100) Power: controls smoothing intensity (default: 1) Tuning: Phase = 0: neutral behavior Phase > 0: more reactive Phase < 0: smoother, more delayed Power = 1: recommended default for most uses Note: The JMA used here is not the proprietary version by Jurik Research, but an educational approximation available in the public domain on TradingView. How to Use Crossover Signals Buy signal: %K crosses above %D from below the 20 line Sell signal: %K crosses below %D from above the 80 line Momentum Strength %K and %D above 80: strong bullish momentum %K and %D below 20: strong bearish momentum With Trend Filters Combine this indicator with trend-following tools (like moving averages on price) Fast smoothing types (like EMA or HMA) are better for scalping and day trading Slower types (like T3 or KAMA) are better for swing and long-term trading Final Tips Tweak RSI and smoothing periods depending on the time frame you're trading. Try different combinations of moving averages to find what works best for your strategy. This indicator is intended as a supporting tool for technical analysis — not a standalone decision-making system.
Pine Script® göstergesi
Canhoto-Medium tarafından
Euclidean Range [InvestorUnknown]The Euclidean Range indicator visualizes price deviation from a moving average using a geometric concept Euclidean distance. It helps traders identify trend strength, volatility shifts, and potential overextensions in price behavior. Euclidean Distance Euclidean distance is a fundamental concept in geometry and machine learning. It measures the "straight-line distance" between two points in space. In time series analysis, it can be used to measure how far one sequence deviates from another over a fixed window. euclidean_distance(src, ref, len) => var float sum_sq_diff = na sum_sq_diff := 0.0 for i = 0 to len - 1 diff = src - ref sum_sq_diff += diff * diff math.sqrt(sum_sq_diff) In this script, we calculate the Euclidean distance between the price (source) and a smoothed average (reference) over a user-defined window. This gives us a single scalar that reflects the overall divergence between price and trend. How It Works Moving Average Calculation: You can choose between SMA, EMA, or HMA as your reference line. This becomes the "baseline" against which the actual price is compared. Distance Band Construction: The Euclidean distance between the price and the reference is calculated over the Window Length. This value is then added to and subtracted from the average to form dynamic upper and lower bands, visually framing the range of deviation. Distance Ratios and Z-Scores: Two distance ratios are computed: dist_r = distance / price (sensitivity to volatility); dist_v = price / distance (sensitivity to compression or low-volatility states) Both ratios are normalized using a Z-score to standardize their behavior and allow for easier interpretation across different assets and timeframes. Z-Score Plots: Z_r (white line) highlights instances of high volatility or strong price deviation; Z_v (red line) highlights low volatility or compressed price ranges. Background Highlighting (Optional): When Z_v is dominant and increasing, the background is colored using a gradient. This signals a possible build-up in low volatility, which may precede a breakout. Use Cases Detect volatile expansions and calm compression zones. Identify mean reversion setups when price returns to the average. Anticipate breakout conditions by observing rising Z_v values. Use dynamic distance bands as adaptive support/resistance zones. Notes The indicator is best used with liquid assets and medium-to-long windows. Background coloring helps visually filter for squeeze setups. Disclaimer This indicator is provided for speculative analysis and educational purposes only. It is not financial advice. Always backtest and evaluate in a simulated environment before live trading.
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InvestorUnknown tarafından
TradeJorno - Time + Price Levels Tired of manually drawing and updating important ICT or SMC time and price levels on your charts every day? Here’s an indicator to draw important TIME and PRICE levels automatically. Here’s what you can highlight in realtime on your charts: 1. Previous major highs and lows ⁃ Previous daily and weekly highs and low - Weekly dividing lines 2. Session highs/lows ⁃ Plot the high and low of Asia and London sessions. ⁃ Customise the timeframe and appearance on the chart. - Previous session settlement price. 3. Various price levels ⁃ Pre-market opening prices : midnight, 7:30 and 8:30 ⁃ Regular market opening prices: 9:30, 10:00, 14:00 - end of session settlement prices 4. Market opening range high and low ⁃ Lines extending throughout the current session ⁃ Customise the timeframe and appearance on the chart. 5. ICT Macro times - Draw customisable vertical lines and labels to indicate the start of each ICT macro period. Let us know in the comments below if there’s anything else we need to add!
Pine Script® göstergesi
tradejorno tarafından
Pair TradingPAIR TRADING Description: This indicator is a simple and intuitive tool for rotating between two assets based on their relative price ratio. By comparing the prices of Asset A and Asset B, it plots a “ratio line” (gray) with dynamic upper and lower boundaries (red and blue). When the ratio reaches the red line, Asset A is expensive → rotate out of A and into B. When the ratio touches the blue line, Asset A is cheap → rotate back into A. The chart also shows: 🔹 Background highlights for visual cues 🔹 “Rotate to A” or “Rotate to B” markers for easy decisions 🔹 A live summary table with mean ratio, upper/lower boundaries, and current ratio How to Use: Select Asset A and Asset B in the settings. Adjust the Lookback Period and Threshold if needed. Watch the gray ratio line as it moves: Above red line? → Consider rotating into B Below blue line? → Consider rotating into A Use the background color changes and rotation labels to spot clear rotation opportunities! Why Pair Trading? Pair trading is a powerful way to manage a portfolio because it neutralizes market direction risk and focuses on relative value. By rotating between correlated assets, you can: Smooth out returns Avoid holding a weak asset too long Capture reversion when assets diverge too far This approach can enhance risk-adjusted returns and help keep your portfolio balanced and nimble! How to Pick Pairs: Choose assets with strong correlation or similar drivers. Look for common trends (sector, macro). Start with assets you know best (high-conviction ideas). Make sure both have good liquidity for reliable trading! TO HELP FIND CORRELATED ASSETS: Use the Correlation Coefficient indicator in TradingView: Click Indicators Search for “Correlation Coefficient” Add it to your chart Input the symbol of the second asset (e.g., if you’re on MSTR, input TSLA). This plots the rolling correlation coefficient — super helpful! Pair trading can turn big swings into steady rotations and help you stay active even when the market is choppy. It’s a simple, practical approach to keep your portfolio balanced.
Pine Script® göstergesi
renderingnature1 tarafından
EMA 5 & E 20 Cross [Dr.K.C.Prakash]📊 Indicator Name: EMA 5 & E 20 Cross 🧠 Concept: This is a trend-following indicator built on the concept of Exponential Moving Average (EMA) crossovers, specially optimized for 1-minute intraday trading. It is designed to eliminate noise and provide accurate BUY and SELL signals during strong, sustained market trends — not during minor or choppy price moves. ⚙️ How It Works: 🔹 EMAs Used: EMA 5: A short-term exponential moving average to quickly track price momentum. EMA 20: A medium-term exponential moving average to act as a smoother trend anchor. 🔹 Signal Logic: Buy Signal: Triggered when EMA 5 stays above EMA 20 for a specified number of consecutive candles (default: 3). This confirms a sustained bullish crossover. A green label with "BUY" appears below the bar. Sell Signal: Triggered when EMA 5 stays below EMA 20 for the same number of consecutive candles. This confirms a sustained bearish crossover. A red label with "SELL" appears above the bar. 🧹 Noise Reduction: Filters out fakeouts or “whipsaws” by requiring that the crossover condition persists for a number of bars (minTrendBars). Greatly improves signal reliability, especially on 1-minute timeframes, where price action is volatile. 📈 Visual Elements: Orange Line: EMA 5 Blue Line: EMA 20 Green “BUY” label: Below candle when bullish trend confirms Red “SELL” label: Above candle when bearish trend confirms ✅ Ideal Use Case: Intraday trading 1-minute timeframe Traders who want to catch longer trends and ignore short-term fluctuations 🔧 Customizable Inputs: Short EMA Length: Default 5 (can be changed) Long EMA Length: Default 20 (can be changed) Min Bars to Confirm Trend: Default 3 (defines how long crossover must persist to count as a valid signal) 🛠️ Add-On Ideas (Optional Enhancements): Would you like to add any of the following? 📢 TradingView alerts (Buy/Sell notifications) 🔁 Re-entry signals in same trend direction 📊 Combine with Volume filter or ATR breakout confirmation
Pine Script® göstergesi
prakash1126 tarafından
Market Pulse ProMarket Pulse Pro (Pulse‑X) — User Guide Market Pulse Pro, also known as Pulse‑X, is an advanced momentum indicator that combines SMI, Stochastic RSI, and a smoothed signal line to identify zones of buying and selling strength in the market. It is designed to assess the balance of power between bulls and bears with clear visualizations. How It Works The indicator calculates three main components: SMI (Stochastic Momentum Index) – measures price position relative to its recent range. Stochastic RSI – captures overbought/oversold extremes of the RSI. Smoothed Signal Line – based on closing price, smoothed using various methods (such as HMA, EMA, etc.). Each component is normalized to create two final values: Bull Herd (Buying Strength) – green line. Bear Winter (Selling Strength) – red line. Interpretation Bull Herd (high green values): Bulls dominate the market. May indicate the start or continuation of an uptrend. Bear Winter (high red values): Bears dominate. May indicate reversal or continuation of a downtrend. Convergence around 50%: Market is balanced. Signals are weaker or indecisive. Tip: Combine with price action analysis or support/resistance levels to confirm entries. Customizable Settings You can adjust: SMI Period, Smooth K, and D – control the sensitivity of the SMI. RSI Period – sets the RSI calculation window. Signal Period – period for the price-based signal line. Smoothing Methods – choose between HMA, EMA, WMA, JMA, SMMA, etc. Line Width – thickness of the plotted lines. Note: The JMA (Jurik Moving Average) used in this script is not the original proprietary version. It is a custom public version, based on open-source code shared by the TradingView community. The original JMA is copyrighted and owned by Jurik Research. How to Use It in Practice Buy Entries When the green Bull Herd line crosses above 60 and the red Bear Winter line falls below 40. Entry is more reliable if the green line is rising steadily. Sell Entries When the red Bear Winter line crosses above 60 and the green Bull Herd line falls. Signals are stronger when there is a clear crossover and divergence between the two lines. Avoid trading near the neutral zone (~50%), where the market shows indecision. Additional Tips Combine with volume analysis or reversal candlestick patterns for higher accuracy. Test different smoothing methods: HMA is more responsive, SMMA is smoother and slower.
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Canhoto-Medium tarafından
Gold $15 Trend Continuation Alert🔔 Gold $15 Trend Continuation Alert (EMA Filtered) This script helps identify high-probability trend continuation setups on XAUUSD (Gold), using price action + EMA confluence. 🔹 Logic: Detects a $15+ directional move in the past hour Confirms shallow pullback (<33%) Price must align with EMA13, EMA50, and EMA200 in the same direction Plots a single BUY (green label) or SELL (red label) alert only once per move Includes visual EMA overlay ✅ Buy Conditions: Price has risen $15 from local low Pullback is shallow Price is above all 3 EMAs ✅ Sell Conditions: Price has dropped $15 from local high Pullback is shallow Price is below all 3 EMAs Use this with caution on volatile news days. Best suited during trending London/NY sessions.
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APCapitalTrading tarafından