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OPTIMISED FOR 15Min on certain FOREX Ichimoku & Friends Strategy Timeframe 15-Minute Chart Entry Rules Required Conditions ALL Must Be True For LONG Entries: Trend: Price is above EMA 200 (purple line) Ichimoku: Tenkan (blue) is above Kijun (red) Price Position: Close is above BOTH Tenkan AND Kijun ADX: Must be above 22 (shows strong trend) RSI: Between 50 and 70 (has momentum, not overbought) Cooldown: At least 12 bars since last trade closed For SHORT Entries: Trend: Price is below EMA 200 (purple line) Ichimoku: Tenkan (blue) is below Kijun (red) Price Position: Close is below BOTH Tenkan AND Kijun ADX: Must be above 22 (shows strong trend) RSI: Between 30 and 50 (has momentum, not oversold) Cooldown: At least 12 bars since last trade closed Entry Signals Any ONE of These Signal Type 1: Cross (C) Long: Tenkan crosses above Kijun AND price closes above Kijun Short: Tenkan crosses below Kijun AND price closes below Kijun Wait 1 bar to confirm the cross holds Signal Type 2: Bounce (B) - Most Reliable Long: Price touches/dips to Kijun, then bounces up with strong bullish candle Short: Price touches/spikes to Kijun, then rejects down with strong bearish candle Must occur within last 3 bars Signal Type 3: Breakout (K) Long: Price breaks above Kijun with strong bullish momentum candle Short: Price breaks below Kijun with strong bearish momentum candle Candle body must be at least 40% of ATR Risk Management Stop Loss Placement Placed at the lower of: Recent swing low (last 5 bars) for longs Kijun minus 0.5 ATR for longs Minimum distance: 2.5 x ATR FOR SHORTS: Mirror logic using swing highs Take Profit 2x the stop loss distance Example: If stop is 20 pips away, target is 40 pips Position Size 100% of equity per trade (as per current settings) Adjust based on your risk tolerance Trade Management When to Enter Only when ALL entry conditions are met Check that background is shaded (green for long, red for short) Small letter markers (C, B, K) show which signal type triggered When to Exit Take Profit hit (2x R:R ratio) Stop Loss hit (smart placement protects capital) Strategy closes position (conditions reverse) Cooldown Period Wait 12 bars (3 hours on 15m chart) after any trade closes Prevents revenge trading and overtrading Visual Indicators on Chart Lines Blue (Tenkan): 9-period conversion line Red (Kijun): 26-period base line Purple (EMA 200): Long-term trend line Orange (EMA 50): Not used in current rules Signals Large Green Triangle Up: LONG entry Large Red Triangle Down: SHORT entry Small Letters (C/B/K): Which signal type triggered Background Colors Light Green: Conditions favorable for LONG (ADX good, uptrend) Light Red: Conditions favorable for SHORT (ADX good, downtrend) No Color: Not safe to trade Top Right Display ADX Value: Green = above threshold, Red = below Win Rate: Shows current performance Quick Checklist Before Entry LONG Trade Checklist: Price above purple EMA 200 Blue line above red line Price above both blue AND red lines ADX number is green (above 22) RSI between 50-70 Background is light green At least 12 bars since last trade Signal marker appeared (triangle or letter) SHORT Trade Checklist: Price below purple EMA 200 Blue line below red line Price below both blue AND red lines ADX number is green (above 22) RSI between 30-50 Background is light red At least 12 bars since last trade Signal marker appeared (triangle or letter) Tips for Success Best Signal Type: Bounce (B) signals typically have highest win rate ADX is Critical: Do not trade when ADX is red - wait for trends Be Patient: 2-3 trades per day on 15m is normal and healthy Trust the System: Do not second-guess the signals Respect Cooldown: Waiting prevents emotional trading Monitor Win Rate: Keep above 50% for profitability with 2:1 R:R Adjustable Settings If you want to modify strategy performance: For Higher Win Rate Fewer Trades: Increase "Minimum ADX" to 25 Increase "Cooldown Bars" to 15 Turn OFF breakout signals For More Trades Slightly Lower Win Rate: Decrease "Minimum ADX" to 20 Decrease "Cooldown Bars" to 8 Keep all signal types enabled For Better Risk:Reward: Increase "Risk:Reward Ratio" to 2.5 or 3.0 This means bigger targets, letting winners run more What NOT to Do Do not trade without ADX confirmation (when number is red) Do not enter during cooldown period Do not trade when price is chopping around EMA 200 Do not override the stop loss - let it work Do not take signals when Tenkan and Kijun are flat/parallel Do not force trades - wait for all conditions Do not trade if you see no background shading Notes Current Performance: 67% win rate (2/3 trades) Timeframe: 15-minute (3 hours = 12 bars cooldown) Profit Factor Target: Above 1.5 is excellent Strategy works best during: European and US trading sessions when volatility is higher DYOR NFA
Pine Script® strategy
by hushedDiamond97573
Friday-Monday Pattern Backtest (Market Rebellion)Tests the "Friday-Monday Pattern" popularized by Tom Hougaard / Market Rebellion. PATTERN LOGIC: • When Friday's high is LOWER than Thursday's high (setup condition) • Then Friday's low is often revisited on the following Monday WHAT THIS INDICATOR SHOWS: • Orange background highlights valid setup bars (Thu-Fri-Mon) • Red horizontal line marks Friday's low (the target level) • Green "SUCCESS" label = Monday hit Friday's low • Red "FAIL" label = Monday did not reach Friday's low • Stats table (top-right) shows total setups, successes, and success rate USE THIS TO: • Backtest the pattern on any daily chart (works best on indices, forex, futures) • Verify the claimed "overwhelming" tendency statistically • Identify which markets/timeframes show the highest success rate CREDITS: Pattern idea from Tom Hougaard / Market Rebellion: x.com Indicator by BacktestBay for transparent pattern verification. USAGE NOTES: • Must be applied to DAILY charts • Uses time_close("D") for accurate day-of-week detection on forex pairs • No trading signals - purely for statistical backtesting
Pine Script® indicator
by backtestbay
Simple Gap IndicatorTitle: Simple Gap Indicator Description: This is a utility script designed to automate the tracking and management of price gaps (also known as "Windows") on the chart. Unlike static drawings, this indicator dynamically monitors open gaps and automatically "closes" them (stops drawing) once price has filled the area, keeping your chart clean and focused on active levels only. Why Use This Tool? Traders often mark gaps manually, but charts quickly become cluttered with old, invalid levels. This script solves that problem by using an array-based management system to track every open gap in real-time and remove it the moment it is invalidated by price action. Technical Methodology: Gap Detection: The script identifies "Full Gaps" where the Low of the current candle is higher than the High of the previous candle (Bullish), or vice versa (Bearish). This indicates a total disconnect in price delivery. Dynamic Filtering: ATR Filter: Users can filter out insignificant "noise" gaps by setting a minimum size threshold based on the Average True Range (ATR). Time Filter: Option to restrict gap detection to specific session hours (e.g., ignoring overnight gaps on 24h charts). Auto-Closure: The script loops through all active gaps on every new bar. If the current price wick touches an open gap, the box is visually terminated at that specific bar index and removed from the tracking array. Visuals: Green Box: Bullish Gap (Support Zone). Red Box: Bearish Gap (Resistance Zone). Labels: Optional text displaying the precise Top/Bottom price coordinates of the gap. How to Use: Enable "Auto-Close Gap on Retest" to keep your chart clean. Use the ATR Filter if you are getting too many signals on lower timeframes (e.g., set to 0.5x ATR). Set alerts for "New Gap" or "Gap Filled" to automate your workflow. Credits: Calculations based on standard Gap/Window price action theory. Array management logic custom-coded for Pine Script v6.
Pine Script® indicator
by tonngnh3
Alertes Trading Manuel//@version=6 indicator("Signal simple +0.5% LONG", overlay = true) // --- Paramètres --- tpPctInput = input.float(0.5, "TP (%)", step = 0.1) // objectif pour toi : 0.5% slPctInput = input.float(0.3, "SL (%)", step = 0.1) // SL indicatif : 0.3% tpPct = tpPctInput / 100.0 slPct = slPctInput / 100.0 emaLenFast = input.int(50, "EMA rapide (intraday)", minval = 1) emaLenSlow = input.int(200, "EMA lente (intraday)", minval = 1) volLen = input.int(20, "Période moyenne Volume", minval = 1) // --- Tendance daily : MA200 jours --- ma200D = request.security(syminfo.tickerid, "D", ta.sma(close, 200)) above200D = close > ma200D // --- Tendance intraday --- emaFast = ta.ema(close, emaLenFast) emaSlow = ta.ema(close, emaLenSlow) upTrendIntraday = close > emaFast and emaFast > emaSlow // --- MACD & RSI --- = ta.macd(close, 12, 26, 9) rsi = ta.rsi(close, 14) macdOK = macdLine > macdSignal rsiOK = rsi > 49 and rsi < 75 // --- Volume --- volMa = ta.sma(volume, volLen) volOK = volume > volume and volume > volMa // --- Signal LONG simple --- longSignal = above200D and upTrendIntraday and macdOK and rsiOK and volOK // --- Affichage du signal --- plotshape( longSignal, title = "Signal LONG", location = location.belowbar, style = shape.triangleup, color = color.lime, size = size.small, text = "LONG" ) // --- Lignes TP / SL indicatives basées sur le dernier signal --- var float tpLine = na var float slLine = na if longSignal tpLine := close * (1 + tpPct) slLine := close * (1 - slPct) // Les lignes restent jusqu'au prochain signal plot(tpLine, "TP indicatif", color = color.new(color.green, 50), style = plot.style_linebr) plot(slLine, "SL indicatif", color = color.new(color.red, 50), style = plot.style_linebr) // --- Affichage des moyennes --- plot(emaFast, "EMA rapide", color = color.new(color.blue, 40)) plot(emaSlow, "EMA lente", color = color.new(color.orange, 40)) plot(ma200D, "MA200 jours (daily)", color = color.new(color.fuchsia, 0), linewidth = 2)
Pine Script® indicator
by jeremyzaghdoun
Risk & Position CalculatorThis indicator is called "Risk & Position Calculator". This indicator shows 4 information on a table format. 1st: 20 day ADR% (ADR%) 2nd: Low of the day price (LoD) 3rd: The percentage distance between the low of the day price and the current market price in real-time (LoD dist.%) 4th: The calculated amount of shares that are suggested to buy (Shares) The ADR% and LoD is straightforward, and I will explain more on the 3rd and 4th information. __________________________________________________________________________________ The Lod dist.% is a useful tool if you are a breakout buyer and use the low of the day price as your stop loss, it helps you determine if a breakout buy is at a risk tight area (~1/2 ADR%) or it is more of a chase (>1 ADR%). I use four different colors to visualize this calculation results (green, yellow, purple, and red). Green: Lod dist.% <= 0.5 ADR% Yellow: 0.5 ADR% < Lod dist.% <= 1 ADR% Purple: 1 ADR% < Lod dist.% <= 1.5 ADR% Red: 1.5 ADR% < Lod dist.% (e.g., if Lod dist.% is colored in Green, it means your stop loss is <= 0.5 ADR%, therefore if you buy here, the risk is probably tight enough) __________________________________________________________________________________ The Shares is a useful tool if you want to know exactly how many shares you should buy at the breakout moment. To use this tool, you first need to input two information in the indicator setting panel: the account size ($) and portfolio risk (%). Account Size ($) means the dollar value in your total account. Portfolio Risk (%) means how much risk you are willing to take per trade. (e.g. a 1% portfolio risk in a 5000$ account is 50$, which is the risk you will take per trade) After you provide these two inputs, the indicator will help you calculate how many shares you should buy based on the calculated Dollar Risk ($), real-time market price, and the low of the day price. (e.g. Dollar Risk (50$), real-time market price (100$), Lod price (95$) -> then you will need to buy 50/(100-95) = 10 shares to meet your demand, so it will display as Shares { 10 } ) In addition, I also introduce a mechanism that helps you avoid buying too big of a position relative to your overall account . I set the limit to 25%, which means you don't put more than 25% of your account money into a single trade, which helps prevent single stock risk. By introducing this mechanism, it will supervise if the suggested Shares to buy exceed max position limit (25%). If it actually exceeds, instead of using Dollar Risk ($) to calculate Shares, it will use position limit to calculate and display the max Shares you should buy. __________________________________________________________________________________ That's it. Hope you find this explanation helpful when you use this indicator. Have a great day mate:)
Pine Script® indicator
by sbgary22291
MNO_2Step_Strategy_MOU_KAKU (Publish-Clear)//@version=5 strategy("MNO_2Step_Strategy_MOU_KAKU (Publish-Clear)", overlay=true, pyramiding=0, max_labels_count=500, max_lines_count=500, initial_capital=100000, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // ========================= // Inputs // ========================= emaSLen = input.int(5, "EMA Short (5)") emaMLen = input.int(13, "EMA Mid (13)") emaLLen = input.int(26, "EMA Long (26)") macdFast = input.int(12, "MACD Fast") macdSlow = input.int(26, "MACD Slow") macdSignal = input.int(9, "MACD Signal") macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05) volLookback = input.int(5, "Volume MA days", minval=1) volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1) volStrong = input.float(1.5, "Strong volume ratio (Breakout/KAKU)", step=0.1) volMaxRatio = input.float(3.0, "Volume ratio max (filter)", step=0.1) wickBodyMult = input.float(2.0, "Pinbar: lowerWick >= body*x", step=0.1) pivotLen = input.int(20, "Resistance lookback", minval=5) pullMinPct = input.float(5.0, "Pullback min (%)", step=0.1) pullMaxPct = input.float(15.0, "Pullback max (%)", step=0.1) breakLookbackBars = input.int(5, "Pullback route: valid bars after break", minval=1) // --- Breakout route (押し目なし初動ブレイク) --- useBreakoutRoute = input.bool(true, "Enable MOU Breakout Route (no pullback)") breakConfirmPct = input.float(0.3, "Break confirm: close > R*(1+%)", step=0.1) bigBodyLookback = input.int(20, "Break candle body MA length", minval=5) bigBodyMult = input.float(1.2, "Break candle: body >= MA*mult", step=0.1) requireCloseNearHigh = input.bool(true, "Break candle: close near high") closeNearHighPct = input.float(25.0, "Close near high threshold (% of range)", step=1.0) allowMACDAboveZeroInstead = input.bool(true, "Breakout route: allow MACD GC above zero instead") // 表示 showEMA = input.bool(true, "Plot EMAs") showMouLabels = input.bool(true, "Show MOU/MOU-B labels") showKakuLabels = input.bool(true, "Show KAKU labels") showDebugTbl = input.bool(true, "Show debug table (last bar)") showStatusLbl = input.bool(true, "Show status label (last bar always)") locChoice = input.string("Below Bar", "Label location", options= ) lblLoc = locChoice == "Below Bar" ? location.belowbar : location.abovebar // ========================= // 必ず決済が起きる設定（投稿クリア用） // ========================= enableTPSL = input.bool(true, "Enable TP/SL") tpPct = input.float(2.0, "Take Profit (%)", step=0.1, minval=0.1) // ←投稿クリア向けに近め slPct = input.float(1.0, "Stop Loss (%)", step=0.1, minval=0.1) // ←投稿クリア向けに近め maxHoldBars = input.int(30, "Max bars in trade (force close)", minval=1) entryMode = input.string("MOU or KAKU", "Entry trigger", options= ) // ✅ 保険：トレード0件を避ける（投稿クリア用） // 1回でもクローズトレードができたら自動で沈黙 publishAssist = input.bool(true, "Publish Assist (safety entry if 0 trades)") // ========================= // EMA // ========================= emaS = ta.ema(close, emaSLen) emaM = ta.ema(close, emaMLen) emaL = ta.ema(close, emaLLen) plot(showEMA ? emaS : na, color=color.new(color.yellow, 0), title="EMA 5") plot(showEMA ? emaM : na, color=color.new(color.blue, 0), title="EMA 13") plot(showEMA ? emaL : na, color=color.new(color.orange, 0), title="EMA 26") emaUpS = emaS > emaS emaUpM = emaM > emaM emaUpL = emaL > emaL goldenOrder = emaS > emaM and emaM > emaL above26_2days = close > emaL and close > emaL baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2days // ========================= // MACD // ========================= = ta.macd(close, macdFast, macdSlow, macdSignal) macdGC = ta.crossover(macdLine, macdSig) macdUp = macdLine > macdLine macdNearZero = math.abs(macdLine) <= macdZeroTh macdGCAboveZero = macdGC and macdLine > 0 and macdSig > 0 macdMouOK = macdGC and macdNearZero and macdUp macdBreakOK = allowMACDAboveZeroInstead ? (macdMouOK or macdGCAboveZero) : macdMouOK // ========================= // Volume // ========================= volMA = ta.sma(volume, volLookback) volRatio = volMA > 0 ? (volume / volMA) : na volumeMouOK = volRatio >= volMinRatio and volRatio <= volMaxRatio volumeStrongOK = volRatio >= volStrong and volRatio <= volMaxRatio // ========================= // Candle patterns // ========================= body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low pinbar = (lowerWick >= wickBodyMult * body) and (lowerWick > upperWick) and (close >= open) bullEngulf = close > open and close < open and close >= open and open <= close bigBull = close > open and open < emaM and close > emaS and (body > ta.sma(body, 20)) candleOK = pinbar or bullEngulf or bigBull // ========================= // Resistance / Pullback route // ========================= res = ta.highest(high, pivotLen) pullbackPct = res > 0 ? (res - close) / res * 100.0 : na pullbackOK = pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct brokeRes = ta.crossover(close, res ) barsSinceBreak = ta.barssince(brokeRes) afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars) pullbackRouteOK = afterBreakZone and pullbackOK // ========================= // Breakout route (押し目なし初動ブレイク) // ========================= breakConfirm = close > res * (1.0 + breakConfirmPct / 100.0) bullBreak = close > open bodyMA = ta.sma(body, bigBodyLookback) bigBodyOK = bodyMA > 0 ? (body >= bodyMA * bigBodyMult) : false rng = math.max(high - low, syminfo.mintick) closeNearHighOK = not requireCloseNearHigh ? true : ((high - close) / rng * 100.0 <= closeNearHighPct) mou_breakout = useBreakoutRoute and baseTrendOK and breakConfirm and bullBreak and bigBodyOK and closeNearHighOK and volumeStrongOK and macdBreakOK mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK mou = mou_pullback or mou_breakout // ========================= // KAKU (Strict): 8条件 + 最終三点 // ========================= cond1 = emaUpS and emaUpM and emaUpL cond2 = goldenOrder cond3 = above26_2days cond4 = macdGCAboveZero cond5 = volumeMouOK cond6 = candleOK cond7 = pullbackOK cond8 = pullbackRouteOK all8_strict = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8 final3 = pinbar and macdGCAboveZero and volumeStrongOK kaku = all8_strict and final3 // ========================= // Entry (strategy) // ========================= entrySignal = entryMode == "KAKU only" ? kaku : (mou or kaku) canEnter = strategy.position_size == 0 newEntryKaku = canEnter and kaku and entrySignal newEntryMouB = canEnter and (not kaku) and mou_breakout and entrySignal newEntryMou = canEnter and (not kaku) and mou_pullback and entrySignal // --- Publish Assist（保険エントリー） --- // 条件が厳しすぎて「トレード0件」だと投稿時に警告が出る。 // closedtradesが0の間だけ、軽いEMAクロスで1回だけ拾う（その後は沈黙）。 assistFast = ta.ema(close, 5) assistSlow = ta.ema(close, 20) assistEntry = publishAssist and strategy.closedtrades == 0 and canEnter and ta.crossover(assistFast, assistSlow) // 実エントリー if newEntryKaku or newEntryMouB or newEntryMou or assistEntry strategy.entry("LONG", strategy.long) // ラベル（視認） if showMouLabels and newEntryMou label.new(bar_index, low, "猛(IN)", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black) if showMouLabels and newEntryMouB label.new(bar_index, low, "猛B(IN)", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black) if showKakuLabels and newEntryKaku label.new(bar_index, low, "確(IN)", style=label.style_label_up, color=color.new(color.yellow, 0), textcolor=color.black) if assistEntry label.new(bar_index, low, "ASSIST(IN)", style=label.style_label_up, color=color.new(color.aqua, 0), textcolor=color.black) // ========================= // Exit (TP/SL + 強制クローズ) // ========================= inPos = strategy.position_size > 0 tpPx = inPos ? strategy.position_avg_price * (1.0 + tpPct/100.0) : na slPx = inPos ? strategy.position_avg_price * (1.0 - slPct/100.0) : na if enableTPSL strategy.exit("TP/SL", from_entry="LONG", limit=tpPx, stop=slPx) // 最大保有バーで強制決済（これが「レポート無し」回避の最後の保険） var int entryBar = na if strategy.position_size > 0 and strategy.position_size == 0 entryBar := bar_index if strategy.position_size == 0 entryBar := na forceClose = inPos and not na(entryBar) and (bar_index - entryBar >= maxHoldBars) if forceClose strategy.close("LONG") // ========================= // 利確/損切/強制クローズのラベル // ========================= closedThisBar = (strategy.position_size > 0) and (strategy.position_size == 0) avgPrev = strategy.position_avg_price tpPrev = avgPrev * (1.0 + tpPct/100.0) slPrev = avgPrev * (1.0 - slPct/100.0) hitTP = closedThisBar and high >= tpPrev hitSL = closedThisBar and low <= slPrev // 同一足TP/SL両方は厳密に判断できないので、表示は「TP優先」で簡略（投稿ギリギリ版） if hitTP label.new(bar_index, high, "利確", style=label.style_label_down, color=color.new(color.lime, 0), textcolor=color.black) else if hitSL label.new(bar_index, low, "損切", style=label.style_label_up, color=color.new(color.red, 0), textcolor=color.white) else if closedThisBar and forceClose label.new(bar_index, close, "時間決済", style=label.style_label_left, color=color.new(color.gray, 0), textcolor=color.white) // ========================= // Signals (猛/猛B/確) // ========================= plotshape(showMouLabels and mou_pullback and not kaku, title="MOU_PULLBACK", style=shape.labelup, text="猛", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showMouLabels and mou_breakout and not kaku, title="MOU_BREAKOUT", style=shape.labelup, text="猛B", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showKakuLabels and kaku, title="KAKU", style=shape.labelup, text="確", color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small) // ========================= // Alerts // ========================= alertcondition(mou, title="MNO_MOU", message="MNO: MOU triggered") alertcondition(mou_breakout, title="MNO_MOU_BREAKOUT", message="MNO: MOU Breakout triggered") alertcondition(mou_pullback, title="MNO_MOU_PULLBACK", message="MNO: MOU Pullback triggered") alertcondition(kaku, title="MNO_KAKU", message="MNO: KAKU triggered") alertcondition(assistEntry, title="MNO_ASSIST_ENTRY", message="MNO: ASSIST ENTRY (publish safety)") // ========================= // Status label（最終足に必ず表示） // ========================= var label status = na if showStatusLbl and barstate.islast label.delete(status) statusTxt = "MNO RUNNING " + "ClosedTrades: " + str.tostring(strategy.closedtrades) + " " + "BaseTrend: " + (baseTrendOK ? "OK" : "NO") + " " + "MOU: " + (mou ? "YES" : "no") + " (猛=" + (mou_pullback ? "Y" : "n") + " / 猛B=" + (mou_breakout ? "Y" : "n") + ") " + "KAKU: " + (kaku ? "YES" : "no") + " " + "VolRatio: " + (na(volRatio) ? "na" : str.tostring(volRatio, format.mintick)) + " " + "Pull%: " + (na(pullbackPct) ? "na" : str.tostring(pullbackPct, format.mintick)) + " " + "Pos: " + (inPos ? "IN" : "OUT") status := label.new(bar_index, high, statusTxt, style=label.style_label_left, textcolor=color.white, color=color.new(color.black, 0)) // ========================= // Debug table（最終足のみ） // ========================= var table t = table.new(position.top_right, 2, 14, border_width=1, border_color=color.new(color.white, 60)) fRow(_name, _cond, _r) => bg = _cond ? color.new(color.lime, 70) : color.new(color.red, 80) tx = _cond ? "OK" : "NO" table.cell(t, 0, _r, _name, text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(t, 1, _r, tx, text_color=color.white, bgcolor=bg) if showDebugTbl and barstate.islast table.cell(t, 0, 0, "MNO Debug", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(t, 1, 0, "", text_color=color.white, bgcolor=color.new(color.black, 0)) fRow("BaseTrend", baseTrendOK, 1) fRow("MOU Pullback", mou_pullback, 2) fRow("MOU Breakout", mou_breakout, 3) fRow("Break confirm", breakConfirm, 4) fRow("Break big body", bigBodyOK, 5) fRow("Break close high", closeNearHighOK, 6) fRow("Break vol strong", volumeStrongOK, 7) fRow("Break MACD", macdBreakOK, 8) fRow("KAKU all8", all8_strict, 9) fRow("KAKU final3", final3, 10) fRow("AssistEntry", assistEntry, 11) fRow("ClosedTrades>0", strategy.closedtrades > 0, 12)
Pine Script® strategy
by morishima0ut6b
Opening Range Breakout with VWAP & RSI ConfirmationThis indicator identifies breakout trading opportunities based on the Opening Range Breakout (ORB) strategy combined with intraday VWAP and higher timeframe RSI confirmation. Opening Range: Calculates the high, low, and midpoint of the first 15 or 30 minutes (configurable) after your specified market open time. Intraday VWAP: A volume-weighted average price calculated manually and reset daily, tracking price action throughout the trading day. RSI Confirmation: Uses RSI from a user-selected higher timeframe (1H, 4H, or Daily) to confirm signals. Buy Signal: Triggered when VWAP breaks above the Opening Range High AND the RSI is below or equal to the buy threshold (default 30). Sell Signal: Triggered when VWAP breaks below the Opening Range Low AND the RSI is above or equal to the sell threshold (default 70). Visuals: Plots Opening Range levels and VWAP on the chart with clear buy/sell markers and optional labels showing RSI values. Alerts: Provides alert conditions for buy and sell signals to facilitate timely trading decisions. This tool helps traders capture momentum breakouts while filtering trades based on momentum strength indicated by RSI.
Pine Script® indicator
by MechanicalTrader13
Quality Detector (Buffett Style) + Beta [Solid]This indicator acts as an on-chart fundamental screener, designed to instantly evaluate the quality and financial health of a company directly on your price chart. The concept is inspired by "Buffettology" principles: looking for large, profitable companies with low debt. Additionally, it includes a Beta calculation to assess market volatility risk. The tool displays a panel in the bottom-right corner featuring four key metrics and a final verdict. How it Works & Metrics Used The script retrieves quarterly fundamental data ("FQ") and performs calculations to verify if the asset meets specific criteria. 1. Market Cap (Size) What it is: The total market value of the company's outstanding shares. Goal: To identify established, large-cap companies. Default Threshold: Must be greater than $10 Billion. 2. ROE - Return on Equity (Quality) What it is: A measure of financial performance calculated by dividing net income by shareholders' equity. Goal: To find companies that are efficient at generating profits from shareholders' capital. Default Threshold: Must be higher than 15%. 3. Total Debt to Equity (Health) What it is: A ratio indicating the relative proportion of shareholders' equity and debt used to finance a company's assets. Calculation: This script manually calculates this ratio by fetching TOTAL_DEBT and dividing it by TOTAL_EQUITY from fundamental data to ensure robustness across different symbols. Goal: To ensure the company is not overly leveraged. Default Threshold: Must be lower than 1.5. 4. Beta (Risk/Volatility) What it is: A measure of a stock's volatility in relation to the overall market (S&P 500). Calculation: It is calculated by comparing the asset's returns against SPY (S&P 500 ETF) returns over a 252-day period (approx. 1 trading year). Goal: To understand if the stock is more volatile (Beta > 1) or less volatile (Beta < 1) than the market. Note: Beta does not affect the final "Quality" score but serves as an extra risk indicator, highlighting in orange if Beta > 1. The Verdict (Scoring System) The indicator assigns a score from 0 to 3 based on the first three fundamental metrics (Size, ROE, and Debt/Equity). If a metric passes the threshold, it gets a green background and +1 point. If it fails, it gets a red background. Final Verdict: 💎 QUALITY GEM: The company passed all 3 fundamental checks (Score = 3/3). ⚠️ DISCARD: The company failed one or more fundamental checks. Settings You can customize the thresholds to fit your own investment strategy in the indicator settings: Minimum Market Cap (in Billions). Minimum ROE (%). Maximum Debt/Equity Ratio. Disclaimer: This tool is for informational and educational purposes only. It relies on third-party fundamental data which may sometimes be delayed or unavailable. Do not base investment decisions solely on this indicator.
Pine Script® indicator
by MrOskama
Elliott Wave Full Fractal System v2.0Elliott Wave Full Fractal System v2.0 – Q.C. FINAL (Guaranteed R/R) Elliott Wave Full Fractal System is a multi-timeframe wave engine that automatically labels Elliott impulses and ABC corrections, then builds a rule-based, ATR-driven risk/reward framework around the “W3–W4–W5” leg. “Guaranteed R/R” here means every order is placed with a predefined stop-loss and take-profit that respect a minimum Reward:Risk ratio – it does not mean guaranteed profits. Core Idea This strategy turns a full fractal Elliott Wave labelling engine into a systematic trading model. It scans fractal pivots on three wave degrees (Primary, Intermediate, Minor) to detect 5-wave impulses and ABC corrections. A separate “Trading Degree” pivot stream, filtered by a 200-EMA trend filter and ATR-based dynamic pivots, is then used to find W4 pullback entries with a minimum, user-defined Reward:Risk ratio. Default Properties & Risk Assumptions The backtest uses realistic but conservative defaults: // Default properties used for backtesting strategy( "Elliott Wave Full Fractal System - Q.C. FINAL (Guaranteed R/R)", overlay = true, initial_capital = 10000, // realistic account size default_qty_type = strategy.percent_of_equity, default_qty_value = 1, // 1% risk per trade commission_type = strategy.commission.cash_per_contract, commission_value = 0.005, // example stock commission slippage = 0 // see notes below ) Account size: 10,000 (can be changed to match your own account). Position sizing: 1% of equity per trade to keep risk per idea sustainable and aligned with TradingView’s recommendations. Commission: 0.005 cash per contract/share as a realistic example for stock trading. Slippage: set to 0 in code for clarity of “pure logic” backtesting. Real-life trading will experience slippage, so users should adjust this according to their market and broker. Always re-run the backtest after changing any of these values, and avoid using high risk fractions (5–10%+) as that is rarely sustainable. 1. Full Fractal Wave Engine The script builds and maintains four pivot streams using ATR-adaptive fractals: Primary Degree (Macro Trend): Captures the large swings that define the major trend. Labels ①–⑤ and ⒶⒷⒸ using blue “Circle” labels and thicker lines. Intermediate Degree (Trading Degree): Captures the medium swings (swing-trading horizon). Uses teal labels ( (1)…(5), (A)(B)(C) ). Minor Degree (Micro Structure): Tracks short-term swings inside the larger waves. Uses red roman numerals (i…v, a b c). ABC Corrections (Optional): When enabled, the engine tries to detect standard A–B–C corrective structures that follow a completed 5-wave impulse and plots them with dashed lines. Each degree uses a dynamic pivot lookback that expands when ATR is above its EMA, so the system naturally requires “stronger” pivots in volatile environments and reacts faster in quiet conditions. 2. Theory Rules & Strict Mode Normal Mode: More permissive detection. Designed to show more wave structures for educational / exploratory use. Strict Mode: Enforces key Elliott constraints: Wave 3 not shorter than waves 1 and 5. No invalid W4 overlap with W1 (for standard impulses). ABC Logic: After a confirmed bullish impulse, the script expects a down-up-down corrective pattern (A,B,C). After a bearish impulse, it looks for up-down-up. 3. Trend Filter & Pivots EMA Trend Filter: A configurable EMA (default 200) is used as a non-wave trend filter. Price above EMA → Only long setups are considered. Price below EMA → Only short setups are considered. ATR-Adaptive Pivots: The pivot engine scales its left/right bars based on current ATR vs ATR EMA, making waves and trading pivots more robust in volatile regimes. 4. Dynamic Risk Management (Guaranteed R/R Engine) The trading engine is designed around risk, not just pattern recognition: ATR-Based Stop: Stop-loss is placed at: Entry ± ATR × Multiplier (user-configurable, default 2.0). This anchors risk to current volatility. Minimum Reward:Risk Ratio: For each setup, the script: Computes the distance from entry to stop (risk). Projects a take-profit target at risk × min_rr_ratio away from entry. Only accepts the setup if risk is positive and the required R:R ratio is achievable. Result: Every order is created with both TP and SL at a predefined distance, so each trade starts with a known, minimum Reward:Risk profile by design. “Guaranteed R/R” refers exclusively to this order placement logic (TP/SL geometry), not to win-rate or profitability. 5. Trading Logic – W3–W4–W5 Pattern The Trading pivot stream (separate from visual wave degrees) looks for a simple but powerful pattern: Bullish structure: Sequence of pivots forms a higher-high / higher-low pattern. Price is above the EMA trend filter. A strong “W3” leg is confirmed with structure rules (optionally stricter in Strict mode). Entry (Long – W4 Pullback): The “height” of W3 is measured. Entry is placed at a configurable Fibonacci pullback (default 50%) inside that leg. ATR-based stop is placed below entry. Take-profit is projected to satisfy min Reward:Risk. Bearish structure: Mirrored logic (lower highs/lows, price below EMA, W3 down, W4 retrace up, W5 continuation down). Once a valid setup is found, the script draws a colored box around the entry zone and a label describing the type of signal (“LONG SETUP” or “SHORT SETUP”) with the suggested limit price. 6. Orders & Execution Entry Orders: The strategy uses limit orders at the computed W4 level (“Sniper Long” or “Sniper Short”). Exits: A single strategy.exit() is attached to each entry with: Take-profit at the projected minimum R:R target. Stop-loss at ATR-based level. One Trade at a Time: New setups are only used when there is no open position (strategy.opentrades == 0) to keep the logic clear and risk contained. 7. Visual Guide on the Chart Wave Labels: Primary: ①,②,③,④,⑤, ⒶⒷⒸ Intermediate: (1)…(5), (A)(B)(C) Minor: i…v, a b c Trend EMA: Single blue EMA showing the dominant trend. Setup Boxes: Green transparent box → long entry zone. Red transparent box → short entry zone. Labels: “LONG SETUP / SHORT SETUP” labels mark the proposed limit entry with price. 8. How to Use This Strategy Attach the strategy to your chart Choose your market (stocks, indices, FX, crypto, futures, etc.) and timeframe (for example 1h, 4h, or Daily). Then add the strategy to the chart from your Scripts list. Start with the default settings Leave all inputs on their defaults first. This lets you see the “intended” behaviour and the exact properties used for the published backtest (account size, 1% risk, commission, etc.). Study the wave map Zoom in and out and look at the three wave degrees: Blue circles → Primary degree (big picture trend). Teal (1)…(5) → Intermediate degree (swing structure). Red i…v → Minor degree (micro waves). Use this to understand how the engine is interpreting the Elliott structure on your symbol. Watch for valid setups Look for the coloured boxes and labels: Green box + “LONG SETUP” label → potential W4 pullback long in an uptrend. Red box + “SHORT SETUP” label → potential W4 pullback short in a downtrend. Only trades in the direction of the EMA trend filter are allowed by the strategy. Check the Reward:Risk of each idea For each setup, inspect: Limit entry price. ATR-based stop level. Projected take-profit level. Make sure the minimum Reward:Risk ratio matches your own rules before you consider trading it. Backtest and evaluate Open the Strategy Tester: Verify you have a decent sample size (ideally 100+ trades). Check drawdowns, average trade, win-rate and R:R distribution. Change markets and timeframes to see where the logic behaves best. Adapt to your own risk profile If you plan to use it live: Set Initial Capital to your real account size. Adjust default_qty_value to a risk level you are comfortable with (often 0.5–2% per trade). Set commission and slippage to realistic broker values. Re-run the backtest after every major change. Use as a framework, not a signal machine Treat this as a structured Elliott/R:R framework: Filter signals by higher-timeframe trend, major S/R, volume, or fundamentals. Optionally hide some wave degrees or ABC labels if you want a cleaner chart. Combine the system’s structure with your own trade management and discretion. Best Practices & Limitations This is an approximate Elliott Wave engine based on fractal pivots. It does not replace a full discretionary Elliott analysis. All wave counts are algorithmic and can differ from a manual analyst’s interpretation. Like any backtest, results depend heavily on: Symbol and timeframe. Sample size (more trades are better). Realistic commission/slippage settings. The 0-slippage default is chosen only to show the “raw logic”. In real markets, slippage can significantly impact performance. No strategy wins all the time. Losing streaks and drawdowns will still occur even with a strict R:R framework. Disclaimer This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance, whether real or simulated, is not indicative of future results. Always test on multiple symbols/timeframes, use conservative risk, and consult your financial advisor before trading live capital.
Pine Script® strategy
by mbedaiwi2
The Abramelin Protocol [MPL]"Any sufficiently advanced technology is indistinguishable from magic." — Arthur C. Clarke 🌑 SYSTEM OVERVIEW The Abramelin Protocol is not a standard technical indicator; it is a "Technomantic" trading algorithm engineered to bridge the gap between 15th-century esoteric mathematics and modern high-frequency markets. This script is the flagship implementation of the MPL (Magic Programming Language) project—an open-source experimental framework designed to compile metaphysical intent into executable Python and Pine Script algorithms. Unlike traditional indicators that rely on arbitrary constants (like the 14-period RSI or 200 SMA), this protocol calculates its parameters using "Dynamic Entity Gematria." We utilize a custom Python backend to analyze the ASCII vibrational frequencies of specific metaphysical archetypes, reducing them via Tesla's 3-6-9 harmonic principles to derive market-responsive periods. 🧬 WHAT IS ? MPL (Magic Programming Language) is a domain-specific language and research initiative created to explore Technomancy—the art of treating code as a spellbook and the market as a chaotic entity to be tamed. By integrating the logic of ancient Grimoires (such as The Book of Abramelin) with modern Data Science, MPL aims to discover hidden correlations in price action that standard tools overlook. 🔗 CONNECT WITH THE PROJECT: If you are a developer, a trader, or a seeker of hidden knowledge, examine the source code and join the order: • 📂 Official Project Site: hakanovski.github.io • 🐍 MPL Source Code (GitHub): github.com • 👨‍💻 Developer Profile (LinkedIn): www.linkedin.com 🔢 THE ALGORITHM: 452 - 204 - 50 The inputs for this script are mathematically derived signatures of the intelligence governing the system: 1. THE PAIMON TREND (Gravity) • Origin: Derived from the ASCII summation of the archetype PAIMON (King of Secret Knowledge). • Function: This 452-period Baseline acts as the market's "Event Horizon." It represents the deep, structural direction of the asset. • Price > Line: Bullish Domain. • Price < Line: Bearish Void. 2. THE ASTAROTH SIGNAL (Trigger) • Origin: Derived from the ASCII summation of ASTAROTH (Knower of Past & Future), reduced by Tesla’s 3rd Harmonic. • Function: This is the active trigger line. It replaces standard moving averages with a precise, gematria-aligned trajectory. 3. THE VOLATILITY MATRIX (Scalp) • Origin: Based on the 9th Harmonic reduction. • Function: Creates a "Cloud" around the signal line to visualize market noise. 🛡️ THE MILON GATE (Matrix Filter) Unique to this script is the "MILON Gate" toggle found in the settings. • ☑️ Active (Default): The algorithm applies the logic of the MILON Magic Square. Signals are ONLY generated if Volume and Volatility align with the geometric structure of the move. This filters out ~80% of false signals (noise). • ⬜ Inactive: The algorithm operates in "Raw Mode," showing every mathematical crossover without the volume filter. ⚠️ OPERATIONAL USAGE • Timeframe: Optimized for 4H (The Builder) and Daily (The Architect) charts. • Strategy: Use the Black/Grey Line (452) as your directional bias. Take entries only when the "EXECUTE" (Long) or "PURGE" (Short) sigils appear. Use this tool wisely. Risk responsibly. Let the harmonics guide your entries. — Hakan Yorganci Technomancer & Full Stack Developer
Pine Script® indicator
by hknyrgnc
Core Suite Essentials This script provides institutional-grade, multi-factor market analysis in a unified toolkit. Its true sophistication lies in its ability to reveal the critical interplay—the "dance"—between its core components, offering a profound view of market structure, momentum, and trend health that goes far beyond standard indicators. Core Differentiators Reveals the Core Trend "Dance": The script masterfully visualizes the critical interaction between three foundational elements: Ichimoku (Tenkan Sen & Kijun Sen): The leading actors defining momentum and equilibrium. Bollinger Middle Band (BBM): The dynamic stage of support/resistance. This interaction provides an institutional-grade read on trend integrity: Strong Trend: A clean, bullish alignment with the Tenkan Sen leading, the Kijun Sen following, and the BBM acting as firm support confirms a powerful, unified move. Trend Break Warning: The BBM moving between the Tenkan and Kijun signals convergence and compression, a critical alert of weakening momentum and a potential reversal. Multi-Timeframe Momentum Confirmation: This core trend analysis is fortified with a layered momentum gauge, providing a robust, institutional-style confirmation system: Proprietary RSI-Based Bands across weekly, daily, and intraday frames. Stochastic Channels (Sto12/Sto50) for additional context on price position. Strategic Filters for Swing & Position Traders: For higher-timeframe analysis, it delivers essential quantitative tools: AnEMA29 Angle: Objectively quantifies trend strength and direction. PDMDR (DMI Ratio): Measures directional dominance to filter low-conviction markets. Integrated Cross-Asset Intelligence: Completing the institutional perspective is a Correlation & Hedging Assistant, contextualizing price action against peers and identifying strategic opportunities based on RSI divergences. Conclusion This is not a mere collection of indicators; it is a consolidated analytical workstation. It captures the nuanced "dance" of the core trend triad, layers on multi-timeframe momentum confirmation, and provides strategic filters for timing and cross-asset context. This holistic, institutional-grade approach delivers a definitive and actionable market narrative. ICHIMOKU @insomniac_vampire
Pine Script® indicator
by SurgeGuru
True Gap Finder with Revisit DetectionTrue Gap Finder with Revisit Detection This indicator is a powerful tool for intraday traders to identify and track price gaps. Unlike simple gap indicators, this script actively tracks the status of the gap, visualizing the void until it is filled (revisited) by price. Key Features: Active Gap Tracking: Finds gap-up and gap-down occurrences (where Low > Previous High or High < Previous Low) and actively tracks them. Gap Zones (Clouds): Visually shades the empty "gap zone" (the void between the gap candles), making it instantly obvious where price needs to travel to fill the gap. The cloud disappears automatically once the gap is filled. Dynamic Labels: automatically displays price labels at the origin of the gap, showing the specific price range (High-Low) that constitutes the gap. Labels are positioned intelligently to avoid cluttering current price action. Alerts: Configurable alerts notify you the moment a gap is filled. Customization: Full control over colors, clouds, labels, and alert settings to match your chart style. How it works: The indicator tracks the most recent gap. If a new gap forms, it becomes the active focus. When price moves back to "close" or "fill" this gap area, the lines and clouds automatically stop plotting, giving you a clean chart that focuses only on open business.
Pine Script® indicator
by crunchy3859
Rolling Skewness & Kurtosis (Quant Lab)🔹 Skewness (Asymmetric Risk) • Skew > 0 (green) → Right tail heavier: • More frequent positive extreme movements • Higher probability of pump/sharp rally • Skew < 0 (red) → Left tail heavier: • Higher risk of crash, dump, liquidation • Skew ≈ 0 → Distribution is symmetrical, neither right nor left side is dominant 🔹 Excess Kurtosis (Intensity of Extreme Movements) • Kurt > 0 → Fat tails: • More extreme movements compared to a normal distribution • Increased risk of unexpected large spikes, flash moves • Kurt < 0 → Thin tail: • More “calm” distribution, fewer extreme movements This pair tells you: “Which direction could this instrument explode in right now? and has the intensity of extreme movements increased?”
Pine Script® indicator
by akmans
Variance Ratio & Efficiency Ratio (Quant Lab)1️⃣ Variance Ratio (VR) Formula: VR ≈ Var(q-step returns) / (q × Var(1-step returns)) Interpretation: • VR ≈ 1 → The market is like a random walk; neither trend nor mean-reversion is dominant. • VR > 1 → Trend behavior is dominant. • Trend-following systems (EMA, Supertrend, breakout) work better. • VR < 1 → Mean-reversion is dominant. • Range/reversal strategies (Z-score, Bollinger fade, RSI reversal) work better. In short: • VR > 1 → Trending market • VR < 1 → Mean-reverting market This tells you: “Should I build a trend system or a mean-reversion system for this instrument?” ⸻ 2️⃣ Efficiency Ratio (ER) Formula logic: ER = |Close_now – Close_n-bars-ago| / Σ|Close_i – Close_{i+1}| In other words: • Numerator → Net movement over N bars • Denominator → Total noise over N bars Interpretation: • ER ≈ 1 → The price has moved in almost a straight line in one direction. → The trend is very efficient, noise is low. • ER ≈ 0 → The price has fluctuated a lot but hasn't gone anywhere definitively. → A complete noise/range market. This tells you: “How clear is the trend in this last N bars, and how much noise is there?” ⸻ 🔥 The intelligence provided by both together: • VR > 1 and ER is high (0.6–1.0) → ➜ Strong, high-quality trend. Golden age for trend-following. • VR > 1 but ER is low (0.2–0.4) → ➜ Trend exists but there is a lot of noise, many fake movements. • VR < 1 and ER is low → ➜ Net range / sideways market. Ideal for mean-reversion.
Pine Script® indicator
by akmans
Quicksilver Institutional Trend [1H] The "God Candle" Catcher Most retail traders fail because they lack institutional tooling. ​ The Quicksilver Institutional Trend is designed to keep you in the trade during massive expansion moves and keep you out during the chop. It replaces "guessing" with a structured, math-based Trend Cloud. ​ THE LOGIC (Institutional Engine): ​Visual Trend Cloud: A dynamic ribbon that identifies the dominant 1H market regime. ​ Momentum Filter (ADX): The bars change color based on Trend Strength. ​Bright Green/Red: High Momentum (Institutional Volume). Stay in the trade. ​Dark Green/Red: Low Momentum. Prepare to exit. ​Liquidity Zones: Automatically draws Support & Resistance lines at recent institutional pivot points. ​ 👨‍💻 NEED A CUSTOM BOT? ​Stop trading manually. We can convert YOUR specific strategy into an automated algorithm. ​ Quicksilver Algo Systems specializes in building custom solutions for: ​TradeLocker Studio (Python) ​TradingView (Pine Script) ​cTrader (C#) ​MetaTrader 4/5 (MQL) ​ We don't just sell indicators; we engineer automated execution systems tailored to your exact risk parameters. ​🚀 HOW TO HIRE US: If you have a strategy you want automated, we are currently accepting new custom development projects. ​Contact the Lead Developer directly: 📧 Email: quicksilveralgo@gmail.com (Include "Custom Bot Request" in the subject line for priority review). ​ 🔥 UNLOCK THE NEXT INDICATOR: We are releasing our "Sniper Scalper" logic next week. ​Hit the BOOST (Rocket) Button 🚀 above. ​ Click FOLLOW on our profile. ​Comment "QAS" below if you want to be notified. ​ Disclaimer: Trading involves substantial risk. Educational purposes only.
Pine Script® indicator
by TyFuGotchu
Volatility Value BandsThis indicator is a modern adaptation of Mark Helweg's original Value Charts concept, focused on visually displaying volatility zones and "extreme value" areas directly on the price chart. It does not replicate the original work but draws inspiration from the logic of normalizing price by volatility to highlight statistically stretched regions. 1. Introduction This study displays three lines directly on the chart: - a central reference line (base), - an upper overvaluation band, - and a lower undervaluation band. The bands are calculated from the relationship between price, moving average, and volatility (via true range/ATR), following Mark Helweg's Value Charts concept but with a custom implementation and adjustable parameters for different assets and timeframes. This allows objectively visualizing when price is in a statistically extended region relative to its recent behavior. 2. Key Features - Volatility-normalized base The indicator converts price deviation into "value units" using a combination of moving average and smoothed volatility (true range/ATR), making levels comparable across different assets and time horizons. - Auto-adjusting limits (optional) An automatic mode can calculate upper and lower limits from recent value unit extremes, using a configurable sampling window and percentile, allowing bands to adapt to the current volatility regime without manual recalibration. - Direct plot on price chart The three lines (central, upper, and lower) are drawn directly on the main asset chart (`overlay`), making it easy to read context: it's clear when price "touches" or breaks the volatility bands without switching to a separate pane. - Flexible parameters Users can control: - base moving average period (length) - volatility factor (manual or automatic) - independent windows for volatility and limits calculation - limits mode (auto or manual) and percentile used This allows adapting behavior to different markets (stocks, indices, forex, crypto). 3. How to Use - Basic interpretation - When price approaches or exceeds the upper band, it indicates a statistically overvalued zone where the asset is stretched upward relative to recent volatility. - When price approaches or exceeds the lower band, it indicates a statistically undervalued zone. - The central line serves as a reference for recent "average value," derived from the base moving average. - Recommended initial setup - Choose the Value Chart period (e.g., 144 bars) for the base. - Enable automatic limits mode for coherent bands matching the asset's volatility. - Adjust the limits window and percentile for tighter bands (more signals) or wider bands (fewer but more extreme). - Best practices - Use bands as context filters, not standalone buy/sell signals. Combine with trend, market structure, or other confirmation indicators. - Avoid decisions solely because price touched a band; in strong trends, price can "walk the edge" for extended periods. - Always follow TradingView community rules when publishing: clearly state in the description that the study is "inspired by Mark Helweg's Value Charts concept," without claiming official status, reproducing proprietary code, or violating copyrights.
Pine Script® indicator
by destrobr0685