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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® göstergesi
sbgary22291 tarafından
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® stratejisi
morishima0ut6b tarafından
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® göstergesi
MechanicalTrader13 tarafından
DR/IDR fractals break candle (ChadAnt)This indicator is an Opening Range Breakout (ORB) tool. It identifies the high and low price range established during a specific time window (e.g., the first hour of trading, 9:30–10:30 AM NY time). Once that time window closes, it watches for the price to "break out" of that range and projects profit targets based on the size of the initial range. Key Features & How They Work 1. The Opening Range (The Box) Time Window: The indicator waits for your specific start time (default 9:30 AM NY). It does not draw anything before this time. The "Wicks": It tracks the absolute highest and lowest prices reached during this time (the Wicks). These act as your Breakout Triggers. The "Body": It tracks the highest and lowest candle closes/opens during this time. This creates a shaded "zone" on your chart, representing the core area where most trading occurred. Shading: To keep your chart clean, the background shading only appears during the forming time window. 2. Breakout Signals Once the time window ends (e.g., 10:30 AM), the indicator "locks" the levels. It then waits for a candle to move above the Wick High or below the Wick Low. The Signal: When this happens, a label ("BREAK") appears on the chart. Green Label: Bullish breakout (price went above the range). Red Label: Bearish breakout (price went below the range). Note: It only signals the first breakout of the day to avoid false alarms during choppy markets. 3. Extension Targets (Profit Levels) When a breakout signal occurs, the indicator automatically draws target lines (extensions). Calculation: These targets are based on the height of the "Body" zone (the shaded area). Example: If your setting is 1.0, the indicator measures the height of the shaded body range and projects that exact distance above the breakout point. This is often used as a "Measured Move" target. You can customize how many lines appear and how far apart they are (e.g., 0.5, 1.0, 1.5 times the range size). 4. Williams Fractals During the opening range time, the indicator looks for specific price patterns called "Williams Fractals" (a 5-candle pattern that highlights potential turning points). If a fractal peak or valley occurs inside your opening range, it marks it with a small triangle (▲ or ▼). Traders often use these as early signs of support or resistance forming inside the range. 5. Clean Visuals Line Cutoff: You can set a "Stop Time" (e.g., 16:00 or 4:00 PM). The lines will stop drawing at that time so they don't clutter your chart overnight. Gap Handling: The lines are programmed to break cleanly between days, so you don't see messy diagonal lines connecting yesterday's close to today's open. Summary of Settings You Can Change Session Time: When the range starts and ends. Line Stop Time: When the lines should disappear for the day. Visuals: Colors, line width, and style (solid, dotted, dashed). Extensions: How many target lines to draw and the step size (e.g., 0.5x, 1.0x). Fractals: Toggle the triangle icons on/off.
Pine Script® göstergesi
ChadAnt tarafından
Fanfans-Supertrend 10in1 ## English Summary This indicator, named "Multi-Indicator Trend Grid (Weighted Version)", is a comprehensive technical analysis tool. It integrates 10 classic technical indicators, categorized into three tiers based on trading weight: Tier 1 (GWMA, EMA, MACD) are core trend judgment indicators; Tier 2 (RSI, CCI, Bollinger Bands) are trend confirmation indicators; Tier 3 (VWAP, KDJ, ADX, Supertrend) are auxiliary filtering indicators. Using MACD histogram coloring logic, it visually displays the strength changes of bullish/bearish trends through dark/light green and dark/light red colors. This tool helps traders quickly identify market trend directions, confirm signal validity, and filter out false signals. It is particularly suitable for multi-timeframe analysis and trend reversal warnings, providing a visual "trend consensus" judgment method. ## 中文总结 此指标名为"多指标趋势网格（权重排序版）"，是一个综合性的技术分析工具。它整合了10个经典技术指标，按照交易权重分为三个梯队：第一梯队(GWMA、EMA、MACD)为核心趋势判断指标；第二梯队(RSI、CCI、布林带)为趋势确认指标；第三梯队(VWAP、KDJ、ADX、Supertrend)为辅助过滤指标。指标采用MACD柱状图配色逻辑，通过深绿/浅绿和深红/浅红直观显示多头/空头趋势的强弱变化。该工具能帮助交易者快速识别市场趋势方向、确认信号有效性并过滤虚假信号，特别适用于多时间框架分析和趋势转换预警，提供了一种可视化的"趋势共识"判断方法。
Pine Script® göstergesi
ms023999 tarafından
ATR R-LevelsATR-R Levels is built for clarity of risk management. The script takes your account size, chosen risk %, and the market’s volatility, then turns all of that into exact stop-loss, take-profit, and position size so there’s no guessing. It’s inspired by key principles from NNFX, especially ATR-based stop placement and fixed-risk position sizing, but redesigned for fast intraday crypto trading. You get the same consistency and discipline NNFX is known for, adapted to a much shorter timeframe. ATR-R Levels gives you: A volatility-based stop using ATR A clean 2R (or custom R-multiple) target Automatic position sizing based on your risk rules A simple HUD showing ATR, entry, stop, TP, size, and risk Optional net profit estimates after fees Let me know what you think or if you use it!
Pine Script® göstergesi
schmypto tarafından
Crypto Leverage Index(OI Norm. + FR)Crypto Leverage Index (OI Z-Score + Funding Rate Signals) (A tool for detecting speculative extremes and leverage load in crypto derivatives markets.) Hello, fellow traders around the globe! In today's crypto futures market, often perceived as a 'playground for large players' (whales/smart money), catching extreme leverage behavior is crucial for survival. I wanted to come up with an indicator to quickly identify such market extremes by focusing on the two most potent indicators of leveraged action: Open Interest (OI) and Funding Rate (FR). The goal is to ride on the shoulders of the market movers by anticipating their next liquidity-driven actions. hope this helps. ❗ IMPORTANT NOTE: This indicator works exclusively on Perpetual Futures or Swap Charts that provide Open Interest (OI) data. ⚪  Overview This indicator provides a standardized view of speculative activity by calculating the Open Interest (OI) Z-Score . This score reveals when the current level of open leverage is abnormally high (premium) or low (discount) relative to its historical mean and volatility. The index is also augmented with Extreme Funding Rate Signals , which plot simple White Dots on the chart when derivative positioning (long or short bias) reaches an unsustainable, overheated level. The combination of OI volume and positioning bias offers a good method to identify potential market reversal zones driven by leverage liquidation risks (short/long squeezes). ⚪  Score Components Open Interest Z-Score (Leverage Load) The primary component standardizes the Open Interest value over a defined lookback `Period` (default 50). This calculation reveals the statistical deviation of current leverage from the norm. OI Z-Score = (OI - Mean(OI)) / StDev(OI) Funding Rate (Positioning Bias) Calculates the approximate funding rate using a TWAP (Time-Weighted Average Price) of the Perpetual Futures Premium, combined with the standard 0.01% Interest Rate. ⚪  Extreme Condition Detection OI Z-Score Extremes * Premium Zone (Red Fill) : OI Z-Score is above the user-defined `Threshold` (default 2.0). Indicates high/overstretched leverage. * Discount Zone (Green Fill) : OI Z-Score is below the user-defined negative threshold (default -2.0). Indicates low/unwinded leverage. Funding Rate Extreme Signals (White Dots) These appear as small White Dots ( · ) plotted at fixed levels within the indicator pane. The position indicates the bias: * Top Dot (Excessive Longs) : Triggered when Funding Rate is greater than Abnormal Funding Rate Threshold (e.g. 0.03%). Indicates excessive Long positioning/greed and potential for a short-term reversal (Long Squeeze risk). The dot is plotted at the positive `FR Signal Plot Level`. * Bottom Dot (Excessive Shorts) : Triggered when Funding Rate is lower than -Abnormal Funding Rate Threshold(e.g. -0.03%). Indicates excessive Short positioning/fear and potential for a short-term reversal (Short Squeeze risk). The dot is plotted at the negative `FR Signal Plot Level`. ⚪  Leverage Case Scenarios (Price, OI Dynamics & Context) The OI Z-Score reflects the premium/discount state of *leverage* (Open Interest) , not the price. The price may not be in a premium or discount area simply because the OI is. OI only indicates the volume of outstanding futures positions. You must observe price action and candlestick patterns alongside the OI movements to determine the true contextual hint. Understanding the relationship between price and Open Interest (OI) change is key to interpreting market movements. The cases listed below represent the most common and thinkable patterns, but do not exhaust all possible market behaviors. 1. Long Build-Up (Price ▲, OI ▲): New long positions enter, confirming the rising trend. 2. Short Build-Up (Price ▼, OI ▲): New short positions enter, confirming the falling trend. Due to the inherently long-biased nature of the crypto market, this scenario is less frequently observed than Long Build-Up. 3. Long Covering/liquidation (Price ▼, OI ▼): Existing longs are closed/liquidated. This activity usually results from Panic Selling or forced long liquidation. 4. Short Covering (Price ▲, OI ▼): Existing shorts are forced to close (Short Squeeze). 5. Long Trap (Price ▲, OI ▲ or ▼): Price rises, but OI suggests new positioning that might be trapping longs. Bearish candle pattern can be often shown with the sweep. 6. Short Trap (Price ▼, OI ▲ or ▼): Warning Sign - Price falls, but OI suggests new positioning that might be trapping shorts. ⚪  Key Input Parameters OI Z-Score * Period (Default: 50) Determines how many recent bars are used to calculate the rolling mean and volatility (standard deviation) of the Open Interest data. * Z-Score Threshold (Default: 2.0) The critical level that the OI Z-Score must cross to be considered 'extreme' (overstretched leverage). Funding Rate * Abnormal FR Threshold (Default: 0.03) The absolute percentage value (e.g., 0.03%) that the Funding Rate must exceed or fall below to trigger an extreme signal dot. * FR Signal Plot Level (Default: 4.0) Sets the fixed vertical position (Y-level) on the Z-Score chart where the Funding Rate signal dots will appear. (e.g., 4.0 plots the dot at the Z-Score +-4.0 level). Disclaimer This script is for educational and informational purposes only and does not constitute financial advice or investment recommendations. Trading cryptocurrencies involves significant risk and you are solely responsible for your own investment decisions, based on your financial situation, objectives, and risk tolerance. The author assumes no liability for losses arising from the use of this indicator.
Pine Script® göstergesi
sanbangaje tarafından
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® stratejisi
mbedaiwi2 tarafından
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® göstergesi
MrOskama tarafından
Momentum by Trading BiZonesSqueeze Momentum Indicator with EMA Overview The Squeeze Momentum Indicator with EMA is a powerful technical analysis tool that combines the original Squeeze Momentum concept with an Exponential Moving Average (EMA) overlay. This enhanced version helps traders identify market momentum, volatility contractions (squeezes), and potential trend reversals with greater precision. Core Concept The indicator operates on the principle of volatility contraction and expansion: Squeeze Phase: When Bollinger Bands move inside the Keltner Channel, indicating low volatility and potential energy buildup Expansion Phase: When momentum breaks out of the squeeze, signaling potential directional moves Key Components 1. Squeeze Momentum Calculation Formula: Momentum = Linear Regression(Close - Average Price) Where Average Price = (Highest High + Lowest Low + SMA(Close)) / 3 Visualization: Histogram bars showing positive (green) and negative (red) momentum Zero Line: Represents equilibrium point between buyers and sellers 2. EMA Overlay Purpose: Smooths momentum values to identify underlying trends Customization: Adjustable period (default: 20) Toggle on/off display Customizable color and line thickness Cross Signals: Buy/sell signals when momentum crosses above/below EMA 3. Volatility Bands Bollinger Bands (20-period, 2 standard deviations) Keltner Channels (20-period, 1.5 ATR multiplier) Squeeze Detection: Visual background shading when BB are inside KC Trading Signals Buy Signals (Green Upward Triangle) Momentum histogram crosses ABOVE EMA line Occurs during or after squeeze release Confirmed by expanding histogram bars Sell Signals (Red Downward Triangle) Momentum histogram crosses BELOW EMA line Often precedes market downturns Watch for increasing negative momentum Squeeze Warnings (Gray Background) Market in low volatility state Prepare for potential breakout Direction indicated by momentum bias Indicator Settings Main Parameters Length: Period for calculations (default: 20) Show EMA: Toggle EMA visibility EMA Period: Smoothing period for EMA Visual Settings Histogram color-coding based on momentum direction EMA line color and thickness Signal marker size and visibility Squeeze zone background display Practical Applications Trend Identification Uptrend: Consistently positive momentum with EMA support Downtrend: Consistently negative momentum with EMA resistance Range-bound: Oscillating around zero line Entry/Exit Points Conservative Entry: Wait for squeeze release + EMA crossover Aggressive Entry: Anticipate breakout during squeeze Exit: Opposite crossover or momentum divergence Risk Management Use squeeze zones as warning periods EMA crossovers as confirmation signals Combine with support/resistance levels Advanced Interpretation Momentum Strength Strong Bullish: Tall green bars above EMA Weak Bullish: Short green bars near EMA Strong Bearish: Tall red bars below EMA Weak Bearish: Short red bars near EMA Divergence Detection Price makes higher high, momentum makes lower high → Bearish divergence Price makes lower low, momentum makes higher low → Bullish divergence Squeeze Characteristics Long squeezes: More potential energy Frequent squeezes: Choppy market conditions No squeezes: High volatility, trending markets Recommended Timeframes Scalping: 1-15 minute charts Day Trading: 15-minute to 4-hour charts Swing Trading: 4-hour to daily charts Position Trading: Daily to weekly charts Best Practices Confirmation Use with volume indicators Check higher timeframe direction Wait for candle close confirmation Filtering Signals Ignore signals during extreme volatility Require minimum bar size for crossovers Consider market context (news, sessions) Combination Suggestions With RSI: Confirm overbought/oversold conditions With Volume Profile: Identify high-volume nodes With Support/Resistance: Key level reactions With Trend Lines: Breakout confirmations Limitations Lagging indicator (based on past data) Works best in trending markets May give false signals in ranging markets Requires proper risk management Conclusion The Squeeze Momentum Indicator with EMA provides a comprehensive view of market dynamics by combining volatility analysis, momentum measurement, and trend smoothing. Its visual clarity and customizable parameters make it suitable for traders of all experience levels seeking to identify high-probability trading opportunities during volatility contractions and expansions.
Pine Script® göstergesi
Forex_BiZones tarafından
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® göstergesi
hknyrgnc tarafından
SCOTTGO Advanced MACD🌟 Custom MACD: Enhanced Visuals & Crossover Signals This indicator is a highly customized version of the traditional Moving Average Convergence Divergence (MACD) oscillator, designed to provide clear, immediate visual confirmation of signal line crossovers and zero-line crossings. Core Features: MACD Crossover Shadow Fill: The area between the MACD line and the Signal line is filled with a customizable shadow. This instantly visualizes whether the MACD is above (bullish crossover) or below (bearish crossover) the Signal line. Signal Crossover Markers (Arrows & Dots): Crossover Dot: A small, configurable solid dot is plotted exactly at the point where the MACD and Signal lines intersect, providing pinpoint accuracy for the crossover event. Crossover Arrows: Customizable up (green) and down (red) arrows are plotted using a small numerical offset from the crossover point, ensuring visibility without cluttering the indicator lines. Zero-Line Crossing Markers: Distinct, small markers (circles/diamonds) are used to signal when the MACD line crosses the zero line, indicating a shift in momentum relative to the baseline. Customizable MA Type: The user can select either Exponential Moving Average (EMA) or Simple Moving Average (SMA) for both the MACD oscillator calculation and the signal line calculation. This indicator is ideal for traders who rely on MACD crossovers and require precise, configurable visual feedback directly on the chart.
Pine Script® göstergesi
SCOTTGO tarafından
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
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SurgeGuru tarafından
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® göstergesi
crunchy3859 tarafından
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® göstergesi
akmans tarafından