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skyride volume spikes signalsA Volume Spike Indicator isolates market momentum by identifying a sudden surge in trading activity. It triggers a signal when the volume of the current (5th) candle is strictly greater than each of the previous four candles' volumes individually. Directional Execution: Once the volume condition is validated, the indicator looks at the price action of that 5th candle to determine the signal's direction. How the Logic Scales : The core rule remains the same the current candle's volume must be strictly greater than the individual volume of every candle in its preceding lookback window. The signal direction is determined entirely by whether that current candle closes green (Bullish) or red (Bearish). 🔍 Lookback Breakdown5 vs 6th: Current (6th) candle volume beats candles 1 through 5 individually.6 vs 7th: Current (7th) candle volume beats candles 1 through 6 individually.7 vs 8th: Current (8th) candle volume beats candles 1 through 7 individually.8 vs 9th: Current (9th) candle volume beats candles 1 through 8 individually.9 vs 10th: Current (10th) candle volume beats candles 1 through 9 individually. 💡 Behavioral Dynamics of Larger Windows: As you increase the required lookback from 5 candles up to 9 candles, the behavior of the indicator changes dramatically:Higher Probability: A 9-candle spike is a much rarer market event than a 5-candle spike. It indicates a significantly stronger breakout because it represents a volume surge that hasn't been seen in nearly double the time.Fewer False Signals: Expanding the lookback window acts as a natural noise filter. It automatically eliminates minor volume blips in choppy or sideways markets, saving you from entering weak trades. Bullish Signal (Buy): Triggers when the compared candle's volume beats the previous candles AND the candle closes higher than it. This indicates aggressive buying pressure. Bearish Signal (Sell): Triggers when the compared candle volume beats the previous candles AND the candle closes lower than it. This indicates aggressive selling pressure.
Pine Script® Indikator
von THESKYRIDE
Tweezer Bottom with Dynamic TargetsCore Purpose . The script tracks momentum changes by looking for a bullish reversal directly on a specific options contract chart, rather than using the underlying Nifty index spot chart. Script Architecture . The Rules: It looks for two back-to-back candles where the first candle is bearish, the second is bullish, and their bottom wicks hit an identical price floor (configured with a tight 5% noise tolerance).The Visual: It automatically flags valid trade setups by plotting a green triangle directly underneath the candle on your workspace chart.
Pine Script® Indikator
von Jay_Maan
Adaptive Volatility Envelope [QuantAlgo]🟢 Overview The Adaptive Volatility Envelope wraps price in a dynamic field of volatility bands centred on a self-adjusting baseline. Rather than tracking price at a fixed speed, the centerline measures how efficiently price is moving and accelerates when movement is more directional while slowing down in choppy conditions, so the baseline follows sustained moves more closely and reacts less to sideways noise. Around this adaptive centerline, layered ATR-scaled bands form a heat map that brightens toward the side price is moving into, giving traders a visual read on both trend state and momentum strength across any instrument or timeframe. 🟢 How It Works The indicator's core methodology combines two mechanisms: an efficiency-driven centerline that adapts its tracking speed to market conditions, and a volatility-scaled band field that visualises momentum through colour and brightness. First, market efficiency is measured by comparing net directional movement against total movement over the adaptation window. This ratio approaches one when movement is more directional and falls toward zero in choppy conditions, and it is used to blend between a slow choppy speed and a fast trending speed. The result is a smoothing factor that automatically tightens the centerline's tracking in directional moves and loosens it in noise, without manual recalibration: efficiencyRatio = totalMovement != 0 ? priceChange / totalMovement : 0.0 smoothingFactor = choppySpeed + (trendSpeed - choppySpeed) * efficiencyRatio Next, the centerline advances toward price by the smoothing factor on each bar, producing an adaptive baseline that closes the gap quickly when efficiency is high and slowly when it is low: centerline := na(centerline ) ? src : centerline + smoothingFactor * (src - centerline ) Band width is then derived from Average True Range scaled by the band spacing, with a safety cap that measures total envelope height against the recent fifty bar price range. If the raw width would exceed this cap, every band is scaled down proportionally, preventing the field from blowing out and distorting the chart scale during volatility spikes: widthScale = rawWidth > maxWidth and rawWidth != 0 and maxWidth > 0 ? maxWidth / rawWidth : 1.0 bandUnit = atr * bandSpacing * widthScale Momentum is resolved from the centerline's slope normalised by ATR and scaled by the colour sensitivity, then clamped to a range of minus one to one. This drives a gradient that runs from the neutral colour at flat momentum toward the bullish or bearish colour as the move strengthens, while a directional brightness offset lights up the leading side of the envelope more than the trailing side: momentumRaw = not na(atr) and atr != 0 ? slope / atr * colorSens : 0.0 momentum = math.max(-1.0, math.min(1.0, momentumRaw)) Finally, a confirmed-bars toggle governs what the script computes. In Live mode the centerline, momentum, bands and signals update intrabar on the developing bar for the fastest response, with the current bar able to change until it closes. In Confirmed mode everything is locked to closed bars only, so signals do not repaint and print on the bar that closes the move. 🟢 Signal Interpretation ▶ Bullish Momentum (Centerline and Bands Brightening Toward the Bullish Colour): When the centerline slopes upward relative to volatility, momentum turns positive and the envelope gradient shifts toward the bullish colour. The leading upper side of the field brightens through the directional brightness offset, making the direction of the move easier to read. The bullish state persists as long as the centerline continues rising, and a "Momentum Turned Bullish" alert fires on the bar where momentum crosses above zero. ▶ Bearish Momentum (Centerline and Bands Brightening Toward the Bearish Colour): When the centerline slopes downward relative to volatility, momentum turns negative and the gradient shifts toward the bearish colour, with the leading lower side of the field brightening to flag the downturn. As with the bullish state, the colour saturates as the move strengthens and fades toward neutral as momentum flattens. A "Momentum Turned Bearish" alert fires on the bar where momentum crosses below zero, flagging a potential short or exit condition. ▶ Neutral Momentum (Centerline and Bands at the Neutral Colour): When the centerline is flat or moving slowly relative to volatility, momentum sits near zero and the gradient settles at the neutral colour at the middle of its range. This indicates low conviction or sideways drift rather than a directional move, and the envelope brightens away from neutral only as the slope steepens enough to register on either side. Reading the neutral state helps separate genuine momentum from chop, since the field stays muted until price generates a meaningful directional slope. 🟢 Features ▶ Preconfigured Presets: Three parameter sets cover a range of trading styles and timeframes. "Default" delivers a balanced engine for swing trading on 4-hour and daily charts. "Fast Response" shortens the adaptation window and quickens both market speeds for tighter, more reactive bands on 5-minute to 1-hour charts, suiting intraday and scalping use. "Smooth Trend" lengthens the adaptation window and slows the speeds for wider, steadier bands on daily and weekly charts, suiting position trading. The presets deliberately leave Volatility Length untouched, so band width stays under independent manual control. ▶ Built-in Alerts: Three alert conditions support automated monitoring of momentum transitions. "Momentum Turned Bullish" fires on the bar momentum crosses above zero. "Momentum Turned Bearish" fires on the bar momentum crosses below zero. "Any Momentum Change" triggers on either transition for traders who want a single unified alert regardless of direction. All alerts include the exchange, ticker, and timeframe in the message for immediate context, and the confirmed-bars toggle determines whether they evaluate on live or closed-bar data. ▶ Visual Customisation: Six colour presets, Classic, Aqua, Cosmic, Cyber, Neon, and Custom, provide coordinated bullish and bearish colour pairings suited to different chart themes and personal preferences. Selecting Custom exposes independent colour pickers for full manual control over both states, alongside an adjustable neutral colour for the midpoint of the gradient. The number of band layers is configurable from one for a clean minimal look up to eight for a rich gradient field, and the bands can be hidden entirely to display only the centerline. Optional bar colouring tints price candles with the active trend colour at a configurable transparency level, reflecting the current momentum state without reading the centerline directly.
Pine Script® Indikator
von QuantAlgo
GUAPOXTRADES - Life To FreedomGUAPOXTRADES – Life To Freedom The Life To Freedom indicator is a financial readiness and risk-management framework designed to help traders evaluate the relationship between employment income, trading capital, and long-term financial independence. Unlike traditional trading indicators that focus on entries, exits, or market direction, this tool focuses on the trader behind the chart. Key Features Freedom Readiness Matrix Evaluates whether critical financial and business milestones have been achieved before transitioning toward full-time trading. Metrics include: Emergency Fund Trading Consistency Trades Logged LLC Creation Debt-Free Status Tax Reserve Market-Funded Status Opportunity Cost Positive Monthly Surplus Recovery Time Engine Calculates how long it would take employment income to absorb a trading loss based on account size, risk percentage, income, and expenses. This helps answer: "How much of my life does a trading mistake cost?" Primary Engine Analysis Identifies the primary source supporting financial growth: Employment, Transitional, Trading This allows traders to understand when employment remains the primary recovery engine and when trading becomes the dominant contributor. Opportunity Cost Calculator Measures the amount of time committed to employment and evaluates whether work obligations may be limiting trading opportunities, analysis, or business development. Multi-Job Income Engine Supports up to three separate employment sources with independent controls for: Hourly Wage Weekly Hours Active / Inactive Status Monthly income can also be manually entered when preferred. GT Freedom Readiness Score Compares actual financial conditions against selected personal requirements and generates a readiness percentage based on the criteria chosen by the user. Philosophy The purpose of this indicator is not to predict market direction. The purpose is to provide a structured framework for evaluating financial preparedness, risk absorption, and readiness for greater trading independence. Markets measure price. Life To Freedom measures preparedness. Disclaimer: This indicator is provided for educational and informational purposes only. It does not provide financial, legal, tax, or investment advice. All trading involves risk, and past performance does not guarantee future results.
Pine Script® Indikator
von GuapoxTrades
Aquila Reale Price Monitor vs 1.4 @giua64🦅 Aquila Reale — Price Monitor A single-panel macro dashboard built to keep the bond market and the US dollar under control at a glance, so you never trade gold (or indices) blind to what is actually driving them. Instead of jumping between ten tabs, this table pulls together every cross-asset driver that moves XAU/USD and risk assets, and refreshes on the last bar: 🏦 Yields & Dollar — DXY, the full US Treasury curve (2Y, 5Y, 10Y, 30Y), 10Y breakeven inflation, and WTI crude. Daily % change is colour-coded so you instantly see who is pushing and in which direction. 🥇 Gold Zone — the part that matters most for a gold trader: 10Y Real Yield (10Y minus breakeven) with a configurable threshold flagging when the real rate is supportive or hostile for gold. 10Y-2Y spread showing whether the curve is normal or inverted. Gold Bias — an intraday read scored from the two main drivers (2Y and DXY): when both fall, bias is gold-positive; when both rise, gold-negative. Steepener — tells you not just that the curve is widening, but why: a 2Y-led move (bull steepener, gold-positive) versus a 10Y-led move (bear steepener, gold-negative). 📈 Futures — Gold, Silver, S&P, Nasdaq, Dow and DAX, to read overall risk appetite. 🇪🇺 Eurozone — Bund and BTP 10Y plus the BTP-Bund spread in basis points, with a stress flag for European risk. 😱 Volatility — VIX as the fear gauge. Everything is configurable: symbols, text size, table position with fine horizontal/vertical offset, bias sensitivity and the real-yield threshold. No repainting tricks — it simply reports daily and intraday change from the underlying instruments. Built to monitor and keep yields in check before pulling the trigger. 🦅 Aquile Reali, Nate per volare, nate per osare.
Pine Script® Indikator
von giua64
Tokyo London New York Session HighlighterTokyo London New York Session Highlighter shades the Tokyo, London and New York trading sessions directly on the chart background so users can see time-of-day context at a glance. It is a visual aid for intraday charts. Each session is defined by its own hours, day mask and IANA timezone, so the correct local times are used throughout the year, including daylight-saving changes in London and New York. ### Features - Background shading for the Tokyo, London and New York sessions, each with its own color, transparency and on/off switch. - Overlap handling: choose a dedicated color for periods when more than one session is active, or use a Priority order of New York over London over Tokyo. - Optional session start/end markers with neutral session codes: TYO, LDN and NY. - Optional active-session high and low plotted only while that session is open. - Optional compact top-right table showing each session's Active/Inactive state and the number of sessions currently active. - Optional informational session start/end alerts. ### Inputs - Sessions: enable/disable, hours, timezone and day mask for each of the three sessions. - Day mask: 23456 = Monday to Friday, 1234567 = every day. - Colors: color and transparency for each session and for overlaps. - Display: overlap handling, markers, active high/low, and the status table. - Alerts: a single switch for session start/end alerts. ### How it works The script checks, for every bar, whether the bar falls inside each configured session using TradingView's time engine and the session's IANA timezone. A session start is the first bar inside the session after a bar outside it. A session end is the first bar outside the session after a bar inside it. No higher-timeframe requests are used. The script reads only the current chart's bars and time. ### Default session references - Tokyo: 09:00-18:00, Asia/Tokyo - London: 08:00-17:00, Europe/London - New York: 08:00-17:00, America/New_York These defaults are practical regional time references for intraday analysis. They are not universal market rules and may not match every broker, exchange, product, holiday schedule, or early close. Users can adjust the session times, timezones and active days in the Inputs tab. ### Originality and usefulness This script is not only a static three-color background tool. It adds several practical context features: 1. Timezone-aware sessions Each major session can use its own local IANA timezone. This helps London and New York remain aligned with local time changes such as daylight saving time. 2. Explicit overlap handling When multiple sessions are active at the same time, the script can either use a dedicated overlap color or a clear priority order. This makes overlapping trading periods easier to identify. 3. Current-session range context Optional high/low plots show the developing range of the active session. This can help users compare current price movement with that session's own developing range. 4. Compact active-session table The table shows which sessions are currently active and how many sessions are active at the same time. This gives a quick status view without adding another pane. 5. Clean, non-directional design The script does not label market direction, classify trend, or suggest a trading action. It only visualizes time-based context. ### Limitations - Designed for intraday charts. On daily or higher timeframes, the script displays an informational notice and does not shade sessions. - Session backgrounds only appear where bars exist on the chart. If a symbol has no trading data during a period, the script cannot fill missing bars. - Holiday schedules, broker-specific trading breaks, exchange-specific sessions, and early closes are not detected automatically. - Default session times are user-adjustable references, not universal market rules. - It reflects the session hours and timezones configured by the user; users should verify them against the instrument and data feed. - It shows time-of-day context only and does not analyze price beyond plotting the optional high/low of the active session. ### What this script does not do - It does not generate trade signals. - It does not provide entries, exits, targets, or position sizing. - It does not predict future price movement. - It does not claim improved performance, accuracy, or profitability. - It does not use future data. - It is not a strategy or backtest system. - It is not financial advice. ### Suggested use Use this on intraday charts where session timing is relevant, such as FX, index CFDs, futures, or other markets where regional trading activity may matter. Keep the chart clean so the session backgrounds, overlap periods, and optional range plots remain easy to read. ### Japanese notes / 日本語補足 このインジケーターは、東京・ロンドン・ニューヨークの各セッションをチャート背景色で可視化する、日中足向けの時間帯コンテキストツールです。 目的は、セッションごとの値動きの違いや、ロンドン・ニューヨークなどの重複時間帯を見やすくすることです。売買シグナル、エントリー、エグジット、目標値、ポジションサイズの提案は行いません。 主な機能 - 東京・ロンドン・ニューヨークの背景色表示 - セッション重複時の専用カラー表示、または優先順位表示 - セッション開始・終了マーカーの任意表示 - 現在進行中のセッション高値・安値ラインの任意表示 - 現在アクティブなセッションを表示する小型テーブル - 各セッションの時間帯・曜日・タイムゾーン・色・透明度の調整 - セッション開始・終了の情報通知アラート このスクリプトは日中足向けです。日足以上の時間足では、背景色によるセッション表示は行わず、情報メッセージのみを表示します。 初期値は一般的な地域別時間帯の参考設定であり、特定のブローカー、取引所、銘柄、祝日、短縮取引を完全に反映するものではありません。必要に応じて各自の取引対象に合わせて調整してください。 このスクリプトは、相場の時間帯を把握するための可視化ツールです。将来の値動き、成績、勝率、精度を示唆または保証するものではありません。投資助言ではありません。
Pine Script® Indikator
von SG_Group
Session Times (Sydney) by (pbloem)A clean, minimal indicator designed for Sydney-based traders showing the exact local open times for the London and New York sessions. 🔵 London Session — opens 5:00 PM Sydney time (AEST) 🟠 New York Session — opens 11:30 PM Sydney time (AEST) Features: - Dashed vertical lines marking the first candle of each session open - Session reference table in the bottom right corner - Customisable line colours for both sessions - Adjustable table size (Small / Normal / Large) Note: Times are based on AEST (UTC+10). During Australian daylight saving (AEDT, UTC+11) add 1 hour to both session times. Built for ICT-style traders who trade London and New York killzones from Sydney.
Pine Script® Indikator
von pbloem
Apex Edge - Trend Breakout V1.1Apex Edge — Trend Breakout A with-trend channel breakout system with a 30-symbol radar and a dual-window, cost adjusted backtest. Indicator Guide · Apex Edge This guide explains exactly what the indicator does, how every number is calculated, why the backtest is built the way it is, and how to trade it. Nothing here is hidden behind a black box — the whole point of the tool is that you can see the workings and judge the edge for yourself. 1. What it is Apex Edge — Trend Breakout is a single overlay indicator that does four jobs at once: • Signals trades when price breaks the recent range in the direction of the dominant trend. • Manages the trade with a chandelier trailing stop, so winners are allowed to run and losers are cut quickly. • Scans a 30-symbol watchlist (the Radar), ranking what is trending and flagging what is about to break. • Tests the rules on the chart symbol across two separate date windows and reports the result as average R and sample size — then auto-grades it Red, Amber or Green. The thesis. Most price action is noise. Occasionally a market trends, and when it does, a break of the recent range tends to continue. The edge of such a system does not come from being right often — it comes from a fat right tail: many small losses when breaks fail, paid for by the occasional large runner that the trailing stop rides for multiples of the initial risk. The tool is built end-to-end to find that behaviour and to stop you fooling yourself about whether it is really there. 2. What appears on your chart • Green and red rails — the upper and lower edges of the breakout channel. A close beyond a rail is a potential trigger. • Up / down triangles — confirmed entries (a close-break that agrees with the trend). • Orange line — the live trailing stop for the most recent signal. This is where your protective order goes. • HUD (top-right by default) — the chart symbol's trend, distance to its rail, current setup state, last signal and a running long/short signal count. • Radar (top-left) — the 30-symbol scanner with score, direction, state and a Red/Amber/Green “Go” column. • Backtest panel (bottom-right) — two date windows side by side, each showing average R and trade count per side, plus an automatic verdict. 3. The entry signal — how it is calculated 3.1 The breakout channel The rails are the highest high and lowest low of the last N bars (default 20), measured up to the previous bar so they never repaint: upBreak = highest(high, 20) of the prior bar dnBreak = lowest(low, 20) of the prior bar A long trigger is a close crossing above the upper rail; a short trigger is a close crossing below the lower rail. Because the test is on the close, an intrabar wick through a rail that closes back inside does not trigger — only a genuine close beyond the range counts. 3.2 The dominant-trend filter A breakout alone is not enough; it must agree with the trend. Trend is defined by a long EMA (default 200) and that EMA's slope, so a flat market counts as no trend: Uptrend = close > EMA(200) AND EMA(200) rising over the last 5 bars Downtrend = close < EMA(200) AND EMA(200) falling over the last 5 bars Requiring both price position and EMA slope filters out the chop that ruins most breakout systems: if the EMA is flat, neither condition is true and no trades are taken. 3.3 Optional higher-timeframe agreement You can additionally require the higher timeframe (default daily) to agree, using its last closed bar's EMA so it cannot repaint. With it on, a 4H long also needs the daily to be pointing up. Off by default. 3.4 The final rule Long = close-break of the upper rail AND dominant uptrend Short = close-break of the lower rail AND dominant downtrend With “with-trend only” enabled (the default), counter-trend and flat-market breaks are blocked entirely. The triangle only prints when both halves line up. 4. The exit — chandelier trailing stop, and what “R” means Risk is defined the moment you enter. The initial stop sits a multiple of Average True Range away from entry (default 1.5 × ATR(14)). That distance — entry to initial stop — is one R. Every outcome the tool reports is measured in multiples of that initial risk. Once in the trade, the stop trails using a chandelier: it hangs a multiple of ATR (default 3 × ATR) below the highest high reached since entry (mirrored for shorts). It only ever moves in your favour - it ratchets, never loosens. You exit when price touches the line. • A loss is roughly −1R: the break fails and price falls back to the initial stop. • A win is whatever the trail captures — often small, occasionally very large when a real trend develops. There is no fixed profit target; capping the winners would throw away the exact tail the system exists to harvest. Note Live, you place a resting stop on the orange line and step it along as the line moves. The backtest exits on the same intrabar touch, so what you test is what you trade. 5. The Market Radar — how the scan is built The Radar pulls 30 symbols on the scan timeframe (default 4H) and ranks them so you watch the right markets. Four numbers drive it. 5.1 Trend-strength score The score blends how cleanly a market is moving with how strongly: • Efficiency Ratio (ER) — net distance travelled divided by the total path taken, over a lookback (default 20). A straight move scores high; a market that thrashes back and forth to end up in the same place scores low. ER = |close − close | / sum of |bar-to-bar moves over 20| (as a %) • ADX — the standard directional-strength index (default 14). The two are scaled and blended 55% ER / 45% ADX, calibrated so a market in a genuine trend reads roughly 60–70. Only symbols above the score threshold (default 50) are shown, strongest first. 5.2 Direction, NEAR and the Go grade • Direction comes from the same dominant-EMA logic as the chart (up, down, or flat). • NEAR flags a symbol that is trending and within a set distance of its breakout rail in the trend direction (default 0.5 × ATR) — i.e. about to trigger. • Go (Red / Amber / Green) is read from your own curated lists. You tell the indicator which symbols you trade long and short at Green (confirmed) and Amber (testing) confidence; the Go column then lights up only for those symbols in that direction. Note The Radar does not grade edges for you — you populate the Green/Amber lists from your own backtest sweep (Section 6). The Go column simply surfaces your decisions on the live scan. 6. The backtest engine and the Auto verdict This is where you decide whether a symbol earns a place on your lists. For the chart symbol, the engine replays every historical signal forward (up to 60 bars), simulates the exact chandelier trail with intrabar touch exits, deducts your cost per trade, and records each result in R. It does this across two independent date windows and reports, for each window and each side (long / short / all): • Avg R — the average result per trade, net of cost. This is the system's expectancy. • N — the number of trades in that window. This tells you whether to believe the Avg R. The Auto column then turns that into a verdict using two thresholds (defaults shown), applied to both windows: Verdict Condition GREEN Avg R ≥ 0.10 AND N ≥ 50 in BOTH windows — a real, repeatable edge AMBER Qualifies in one window, or only marginally — promising, not proven no Fails the bar — no demonstrated edge this way A Green therefore is not a single good run; it is an edge that survived two separate market periods with a large enough sample in each. That is the bar a symbol must clear before it goes on your Green list. Note Cost is entered in price units and applies to the chart symbol, so set it to that instrument's realistic round-trip spread before trusting a marginal (Amber) result. A couple of pips is what flips a thin edge from positive to negative — which is exactly the truth you want before risking money. 7. Why those default backtest dates? The two windows default to 2019–2021 and 2022–present, and the split is deliberate. These are not two halves of one stretch — they are two genuinely different market regimes: • 2019–2021 spans the late-cycle calm, the COVID crash and the violent recovery — a high volatility, strong-trend era. • 2022–present is the rate-hiking regime: broad USD strength, a real equity bear in 2022, and a different volatility character. A set of rules that prints a profit in one regime might simply be tuned, by luck or by hand, to that regime. The only honest test is whether the same untouched rules also work in a different one. Requiring an edge to clear the bar in both windows is the out-of-sample check built directly into the panel. The dates are adjustable — what matters is that the two windows cover different conditions, not the exact years. 8. Why we judge by R and N, not win rate Win rate is the most quoted and least useful statistic in trading. On its own it tells you almost nothing, and for a system like this it actively misleads. 8.1 Win rate hides the size of wins and losses Two systems can have wildly different win rates and the opposite profitability. Expectancy — average R per trade — is what actually ties to your account: System Win rate Expectancy Reality “High win rate” (avg win 90% +0.5R Loses Money +0.5R, avg loss −5R) Trend breakout (avg win 40% +0.60R Strong edge +3R, avg loss −1R) The 90%-winner loses on the rare 5R disaster; the 40%-winner thrives because its winners dwarf its losers. Judge either by win rate and you draw the wrong conclusion. Expectancy = (win% × avg win) − (loss% × avg loss), expressed in R, is the number that matters. 8.2 This system is meant to be a low win-rate system A trend-breakout-with-trail design is designed to win less than half the time. Most breakouts fail and cost ~1R; a minority become trends and the trail rides them for many R. The profit lives entirely in those few big winners — the fat right tail. Win rate cannot see that tail; only average R can. Optimising for win rate would push you to cap winners and widen stops, destroying the very edge the tool is built to capture. 8.3 N is what makes the average believable An average R is only as trustworthy as the number of trades behind it. A +0.8R average on 8 trades is a coin landing heads a few times in a row — it tells you nothing. The same average on 120 trades is a genuine signal. That is why the Auto grade refuses to certify anything below N ≥ 50 per window, no matter how attractive the Avg R looks. Small samples are where traders fool themselves most, so the tool simply will not show Green there. 8.4 How to read an Avg R figure Avg R (net of cost) Read it as ≤ 0 (negative) A losing side — shown red and correctly left off your lists +0.05 to +0.15 Marginal — cost and slippage can erase it +0.15 to +0.35 A solid, tradeable edge +0.35 to +0.80 Strong — and normal for this let-run design when a market trends cleanly +0.80 and up Exceptional — sanity-check it before you believe it (see below) Two cautions. First, R is signed. A side can be negative, meaning that direction lost money over the test — it is shown in red, and the Auto verdict only turns green for positive R that clears the bar in both windows. A red number is not a high score you should chase; it is a losing side the tool is keeping you out of. Second, because this design lets winners run, a healthy average is usually carried by a minority of large trades rather than spread evenly across all of them. That is expected behaviour for trend following, not a flaw — but it means a very high figure deserves a look at the trade distribution, and a check for look-ahead, before you treat it as durable. High positive R here is the system working; it is only suspect when it is extreme or rests on a handful of trades. 9. How to trade it The workflow separates the slow, careful job (deciding what to trade) from the fast one (executing when it triggers). 1. Weekly — curate. Flick through your watchlist. On each symbol read the Auto panel and note the verdict per side. Add Green symbols to the matching Green list (long or short) in settings, and Amber symbols to the Amber lists. Skip the reds. 2. Set once — the blanket alert. On a 4H chart create the “Watchlist near breakout” alert, set to Once Per Bar Close. It pings only for your Green/Amber symbols when one is trending and nearing its rail. 3. On the ping — find the trade. Open the Radar. Confirm the symbol shows Green/Amber Go + NEAR + the right direction. 4. Arm the entry. On that symbol's chart set the “Breakout Long/Short” alert, also Once Per Bar Close, so only a close beyond the rail can fire it (no wicks). 5. Enter. When the triangle prints, take the trade and place your stop on the orange trailing line. 6. Manage. Step the stop along with the line as it moves your way — never against you. Exit on the touch. No fixed target; let the trail decide. 10. Trading rules and risk discipline • Trade Green in the validated direction. Amber is watch-and-small-size. Red is no trade. • A break against the trend is not your trade. Skip it, however tempting. • Judge over a batch of trades, never one. A single loss says nothing about a positive expectancy system; variance is the cost of admission. • One settings set for all symbols. Never tune the inputs per symbol to flatter the past — that is curve-fitting. If you change a strategy setting, re-test both windows before trusting it again. • Size correlated instruments as one position. A basket of yen crosses, or a basket of equity indices, is one bet wearing several names. Three 1% longs that all rise and fall together is a 3% bet on one theme, not three diversified trades. 11. Settings reference Setting Defaults and What they mean: Breakout channel 20 Bars - used for the high/low rails Near-break heads-up 0.5 ATR - How close to the rail counts as NEAR Dominant EMA 200 - The trend reference line EMA slope lookback 5 Bars - used to judge the EMA's slope With-trend only On - Blocks counter-trend and flat-market breaks Higher timeframe Off / 1D - Optionally require the daily to agree Initial stop 1.5 ATR - Defines one R (entry to stop) Chandelier trail 3.0 ATR - Trailing distance below the running extreme Trade window 60 bars - How far the backtest follows each signal Cost per trade 0 - Round-trip cost in price units (set per instrument) Test windows A / B 2019–21 / 22–now - The two regimes the Auto grade checks Qualify Avg R / N 0.10 / 50 - Thresholds for a Green verdict, per window Scan timeframe 4H - Timeframe the Radar evaluates Score threshold 50 - Minimum trend score to appear on the Radar 12. Non-repainting, and honest limitations Non-repainting by design. Signals use closed-bar prices and the prior-bar channel, the higher timeframe pull uses the last closed bar, and the backtest only ever replays bars that were already in the past relative to each signal. What you see on history is what you would have seen live. What a backtest can and cannot tell you. The replay is a simulation. It assumes fills at the touched price and a fixed cost; live trading adds variable spread, slippage, gaps and partial fills. Treat the Avg R as an estimate of edge and direction, not a promise of returns. Forward-test before you scale. • The Green/Amber lists are your inputs — the tool surfaces your decisions, it does not validate them for you. • Correlated symbols inflate the apparent number of edges; the count is not the same as diversification. • A strong directional drift in an asset class (equities up, for example) can make a one-sided system look better than the rule itself is. This indicator is a decision-support and research tool. It is not financial advice and does not place trades. Markets carry risk; past performance does not guarantee future results. You are responsible for your own decisions and risk. Apex Edge - Trend Breakout - Radar finds the trend - Auto/Go says if it pays - Arrow times entry - Orange line manages - exit
Pine Script® Indikator
von ApexEdge
MTF Candle Countdown: Multi-Timeframe Close Timer ⏳ Know exactly how long until your candles close — on up to 4 timeframes at once, in one clean panel. Stop switching charts to check the 1H or 4H while you trade the 5m. See every countdown you care about in one place. ────────────────────────── ✅ WHAT IT DOES Shows a live countdown to candle close for up to 4 timeframes you choose, side by side. Each row shows the timeframe, the time left, and the exact clock time that candle will close. ────────────────────────── ⚙️ WHAT YOU CAN CONTROL • Up to 4 timeframes — pick any, turn each on/off • Corner — any of the 4 chart corners • Font size — Small, Medium, or Large • Text + background colors • Close-time column — show/hide, and choose its timezone • Near-close highlight — a row turns amber in the final seconds before close ────────────────────────── 🔔 ALERTS (two independent switches, both optional) • "Closing soon" — fires shortly before a candle closes (your heads-up) • "Candle closed" — fires the moment a candle closes (your confirmation) Turn on either, both, or neither. ────────────────────────── 🌍 TIMEZONE — SET IT ONCE TradingView scripts can't read your chart's timezone, so pick yours in the "Close-time timezone" setting (New York, London, Tokyo, UTC, etc.). Set it to match your chart and the close times line up perfectly. Daylight saving is handled automatically. ────────────────────────── ℹ️ GOOD TO KNOW • A countdown timeframe must be the same as or higher than your chart timeframe. (A 1-minute countdown needs a ≤1-minute chart.) Rows below your chart timeframe show a gentle "use ≤Xm chart" reminder. • Works on any symbol — crypto, forex, futures, stocks. • On closed markets the countdown pauses until trading resumes (this is normal for all indicators). • Not designed for Bar Replay — use it on a live chart. ────────────────────────── 🚀 HOW TO USE 1. Add to your chart 2. Open settings (gear icon) 3. Choose your timeframes, timezone, colors, and corner ────────────────────────── 👨‍💻 FOR DEVELOPERS / AUTOMATION Set "Alert message format" to JSON event and the alerts emit a structured, webhook-ready payload (sent as application/json): {"ticker":"BTCUSD","exchange":"COINBASE","timeframe":"4H","event":"closed","price":60800.5,"time":1749264000000} ("closing_soon" events also include "seconds_left".) This is a TIMING EVENT source, not an order engine — it tells you WHEN a candle closes, with no buy/sell baked in (a countdown has no direction). Route the event to your webhook receiver or bridge (CrossTrade, NinjaView, your own listener, n8n, etc.) and map it to your platform's order format there. Each event fires once per candle (no spam). Prefer "Plain text" format for human phone/email alerts. ────────────────────────── Free and open-source. Feedback welcome 🙏
Pine Script® Indikator
von CandlesofKarma
Date & Time Clock: Multi-Timezone🕐 A clean, always-on clock for your chart. Shows the current date and time in any timezone you choose, pinned to the corner you pick. Built to be simple, readable, and out of your way. ────────────────────────── ✅ WHAT IT DOES Displays today's date and the live time in a small box on your chart — so you always know "what time is it, right now, in the market I care about" without doing timezone math in your head. ────────────────────────── ⚙️ WHAT YOU CAN CONTROL • Corner — put the clock in any of the 4 chart corners • Font size — Small, Medium, or Large • Timezone — New York, Chicago, London, Frankfurt, Tokyo, Sydney, UTC, or match the chart's exchange • Date format — Jun 6, 2026 / 2026-06-06 / 06/06/2026 • Time format — 12-hour or 24-hour, with or without seconds • Colors — text color + background color (and transparency) ────────────────────────── 🌍 DAYLIGHT SAVING IS AUTOMATIC The timezone label shows the live GMT offset, e.g. "New York (GMT-4)". It adjusts itself for daylight saving — you never have to switch anything by hand. ────────────────────────── ℹ️ ONE THING TO KNOW TradingView updates indicators when price moves. So the clock ticks forward on active symbols during market hours, and may pause when the market is quiet or closed. That's normal — it's not frozen. ────────────────────────── 🚀 HOW TO USE 1. Add to your chart 2. Open settings (the gear icon) 3. Pick your corner, timezone, format, and colors Free and open-source. Feedback welcome 🙏
Pine Script® Indikator
von CandlesofKarma
COT-Trader Seasonality - Indexed Geometric PathCOT-Trader Seasonality is a visual research indicator designed to study seasonal tendencies in futures, commodities, indices and other markets. The script focuses on one specific question: How has a market typically behaved throughout the calendar year when historical years are compared on a normalized basis? Instead of averaging raw historical prices, the indicator indexes each historical year to a base value of 100 at the first available trading day of that year. This makes different years comparable across changing price regimes. This is especially useful for markets such as commodities and futures, where long-term price levels can change significantly over time. Methodology The indicator uses an Indexed Geometric Seasonal Path approach: 1. Each historical year is indexed to 100 at its first available trading day. 2. Each following trading day is converted into a relative factor versus that year’s starting value. 3. For each calendar day, the geometric mean of the indexed historical factors is calculated. 4. The resulting seasonal curves are plotted on a synthetic January-to-December seasonal scale. The geometric approach is used because price development is multiplicative. A 10% gain followed by a 10% loss does not return a market to its original level. Working with relative factors is therefore more appropriate than directly averaging absolute historical prices. Displayed Curves The indicator can display: • 10Y Main Seasonal Curve • 5Y Seasonal Curve • 15Y Seasonal Curve • 20Y Seasonal Curve • Current Year / YTD indexed path • Previous Year indexed path • Synthetic seasonal month scale The 10Y curve is the main reference curve. The 5Y, 15Y and 20Y curves are included as comparison views to help evaluate whether shorter-term seasonal tendencies differ from longer-term historical behavior. The current year line stops at the latest available data point. It is not extended into the future. How to Use This indicator can be used to: • compare the current year against historical seasonal tendencies • identify periods where several seasonal curves move in a similar direction • compare shorter-term and longer-term seasonal behavior • study whether the current year is behaving normally or as an outlier • support broader market research together with positioning, fundamentals, volatility and risk analysis The month labels shown in the indicator are a synthetic seasonal month scale. They are not the same as the chart’s real time axis. What This Indicator Does Not Do This script does not generate buy or sell signals. It does not predict future prices. It does not automatically identify the best seasonal trading window. It does not include stop-loss, take-profit, position sizing or strategy backtesting logic. It is intended as a visual research tool, not as a standalone trading system. Limitations Seasonality describes historical tendencies, not certainties. Markets can deviate significantly from historical seasonal patterns due to macroeconomic conditions, weather, supply-demand shocks, positioning, volatility, futures contract rolls or other market-specific factors. For futures and continuous contracts, historical data quality and roll methodology can influence the visual result. The indicator should be used as one part of a broader analytical process. Initial public release. Features: • Indexed geometric seasonal path calculation • Fixed 10Y main seasonal curve • 5Y, 15Y and 20Y comparison curves • Current year / YTD indexed path • Previous year indexed path • Synthetic January-to-December seasonal month scale • Built-in legend and methodology table This indicator is designed for visual seasonal research and does not generate trading signals.
Pine Script® Indikator
von DerAndi72
Apex Edge - Trend BreakoutApex Edge — Trend Breakout A with-trend channel breakout system with a 30-symbol radar and a dual-window, cost adjusted backtest. Indicator Guide - Apex Edge This guide explains exactly what the indicator does, how every number is calculated, why the backtest is built the way it is, and how to trade it. Nothing here is hidden behind a black box — the whole point of the tool is that you can see the workings and judge the edge for yourself. 1. What it is Apex Edge — Trend Breakout is a single overlay indicator that does four jobs at once: Signals trades when price breaks the recent range in the direction of the dominant trend. Manages the trade with a chandelier trailing stop, so winners are allowed to run and losers are cut quickly. Scans a 30-symbol watchlist (the Radar), ranking what is trending and flagging what is about to break. Tests the rules on the chart symbol across two separate date windows and reports the result as average R and sample size — then auto-grades it Red, Amber or Green. The thesis. Most price action is noise. Occasionally a market trends, and when it does, a break of the recent range tends to continue. The edge of such a system does not come from being right often — it comes from a fat right tail: many small losses when breaks fail, paid for by the occasional large runner that the trailing stop rides for multiples of the initial risk. The tool is built end-to-end to find that behaviour and to stop you fooling yourself about whether it is really there. 2. What appears on your chart Green and red rails — the upper and lower edges of the breakout channel. A close beyond a rail is a potential trigger. Up / down triangles — confirmed entries (a close-break that agrees with the trend). Orange line — the live trailing stop for the most recent signal. This is where your protective order goes. HUD (top-right by default) — the chart symbol's trend, distance to its rail, current setup state, last signal and a running long/short signal count. Radar — the 30-symbol scanner with score, direction, state and a Red/Amber/Green “Go” column. Backtest panel — two date windows side by side, each showing average R and trade count per side, plus an automatic verdict. 3. The entry signal — how it is calculated 3.1 The breakout channel The rails are the highest high and lowest low of the last N bars (default 20), measured up to the previous bar so they never repaint: upBreak = highest(high, 20) of the prior bar dnBreak = lowest(low, 20) of the prior bar A long trigger is a close crossing above the upper rail; a short trigger is a close crossing below the lower rail. Because the test is on the close, an intrabar wick through a rail that closes back inside does not trigger — only a genuine close beyond the range counts. 3.2 The dominant-trend filter A breakout alone is not enough; it must agree with the trend. Trend is defined by a long EMA (default 200) and that EMA's slope, so a flat market counts as no trend: Uptrend = close > EMA(200) AND EMA(200) rising over the last 5 bars Downtrend = close < EMA(200) AND EMA(200) falling over the last 5 bars Requiring both price position and EMA slope filters out the chop that ruins most breakout systems: if the EMA is flat, neither condition is true and no trades are taken. 3.3 Optional higher-timeframe agreement You can additionally require the higher timeframe (default daily) to agree, using its last closed bar's EMA so it cannot repaint. With it on, a 4H long also needs the daily to be pointing up. Off by default. 3.4 The final rule Long = close-break of the upper rail AND dominant uptrend Short = close-break of the lower rail AND dominant downtrend With “with-trend only” enabled (the default), counter-trend and flat-market breaks are blocked entirely. The triangle only prints when both halves line up. 4. The exit — chandelier trailing stop, and what “R” means Risk is defined the moment you enter. The initial stop sits a multiple of Average True Range away from entry (default 1.5 × ATR(14)). That distance — entry to initial stop — is one R. Every outcome the tool reports is measured in multiples of that initial risk. Once in the trade, the stop trails using a chandelier: it hangs a multiple of ATR (default 3 × ATR) below the highest high reached since entry (mirrored for shorts). It only ever moves in your favour — it ratchets, never loosens. You exit when price touches the line. A loss is roughly −1R: the break fails and price falls back to the initial stop. A win is whatever the trail captures — often small, occasionally very large when a real trend develops. There is no fixed profit target; capping the winners would throw away the exact tail the system exists to harvest. Note Live, you place a resting stop on the orange line and step it along as the line moves. The backtest exits on the same intrabar touch, so what you test is what you trade. 5. The Market Radar — how the scan is built The Radar pulls 30 symbols on the scan timeframe (default 4H) and ranks them so you watch the right markets. Four numbers drive it. 5.1 Trend-strength score The score blends how cleanly a market is moving with how strongly: Efficiency Ratio (ER) — net distance travelled divided by the total path taken, over a lookback (default 20). A straight move scores high; a market that thrashes back and forth to end up in the same place scores low. ER = |close − close | / sum of |bar-to-bar moves over 20 (as a %) ADX — the standard directional-strength index (default 14). The two are scaled and blended 55% ER / 45% ADX, calibrated so a market in a genuine trend reads roughly 60–70. Only symbols above the score threshold (default 50) are shown, strongest first. 5.2 Direction, NEAR and the Go grade Direction comes from the same dominant-EMA logic as the chart (up, down, or flat). NEAR flags a symbol that is trending and within a set distance of its breakout rail in the trend direction (default 0.5 × ATR) — i.e. about to trigger. Go (Red / Amber / Green) is read from your own curated lists. You tell the indicator which symbols you trade long and short at Green (confirmed) and Amber (testing) confidence; the Go column then lights up only for those symbols in that direction. Note The Radar does not grade edges for you — you populate the Green/Amber lists from your own backtest sweep (Section 6). The Go column simply surfaces your decisions on the live scan. 6. The backtest engine and the Auto verdict This is where you decide whether a symbol earns a place on your lists. For the chart symbol, the engine replays every historical signal forward (up to 60 bars), simulates the exact chandelier trail with intrabar touch exits, deducts your cost per trade, and records each result in R. It does this across two independent date windows and reports, for each window and each side (long / short / all): Avg R — the average result per trade, net of cost. This is the system's expectancy. N — the number of trades in that window. This tells you whether to believe the Avg R. The Auto column then turns that into a verdict using two thresholds (defaults shown), applied to both windows: Verdict/Condition: GREEN Avg R ≥ 0.10 AND N ≥ 50 in BOTH windows — a real, repeatable edge AMBER Qualifies in one window, or only marginally — promising, not proven no Fails the bar — no demonstrated edge this way A Green therefore is not a single good run; it is an edge that survived two separate market periods with a large enough sample in each. That is the bar a symbol must clear before it goes on your Green list. Note - Cost is entered in price units and applies to the chart symbol, so set it to that instrument's realistic round-trip spread before trusting a marginal (Amber) result. A couple of pips is what flips a thin edge from positive to negative — which is exactly the truth you want before risking money. 7. Why those default backtest dates? The two windows default to 2019–2021 and 2022–present, and the split is deliberate. These are not two halves of one stretch — they are two genuinely different market regimes: 2019–2021 spans the late-cycle calm, the COVID crash and the violent recovery — a high volatility, strong-trend era. 2022–present is the rate-hiking regime: broad USD strength, a real equity bear in 2022, and a different volatility character. A set of rules that prints a profit in one regime might simply be tuned, by luck or by hand, to that regime. The only honest test is whether the same untouched rules also work in a different one. Requiring an edge to clear the bar in both windows is the out-of-sample check built directly into the panel. The dates are adjustable — what matters is that the two windows cover different conditions, not the exact years. 8. Why we judge by R and N, not win rate Win rate is the most quoted and least useful statistic in trading. On its own it tells you almost nothing, and for a system like this it actively misleads. 8.1 Win rate hides the size of wins and losses Two systems can have wildly different win rates and the opposite profitability. Expectancy — average R per trade — is what actually ties to your account: Example: System - “High win rate” (avg win +0.5R, avg loss −5R) Win rate - 90% Expectancy -0.05R Reality - Loses money System - Trend breakout (avg win +3R, avg loss −1R) Win rate - 40% Expectancy - 0.60R Reality - Strong edge The 90%-winner loses on the rare 5R disaster; the 40%-winner thrives because its winners dwarf its losers. Judge either by win rate and you draw the wrong conclusion. Expectancy = (win% × avg win) − (loss% × avg loss), expressed in R, is the number that matters. 8.2 This system is meant to be a low win-rate system A trend-breakout-with-trail design is designed to win less than half the time. Most breakouts fail and cost ~1R; a minority become trends and the trail rides them for many R. The profit lives entirely in those few big winners — the fat right tail. Win rate cannot see that tail; only average R can. Optimising for win rate would push you to cap winners and widen stops, destroying the very edge this tool is built to capture. 8.3 N is what makes the average believable An average R is only as trustworthy as the number of trades behind it. A +0.8R average on 8 trades is a coin landing heads a few times in a row — it tells you nothing. The same average on 120 trades is a genuine signal. That is why the Auto grade refuses to certify anything below N ≥ 50 per window, no matter how attractive the Avg R looks. Small samples are where traders fool themselves most, so the tool simply will not show Green there. 8.4 How to read an Avg R figure Avg R (net of cost) Read it as ≤ 0 No edge +0.05 to +0.10 Marginal — cost and slippage can erase it +0.10 to +0.20 Workable edge +0.20 to +0.40 Strong +0.40 and up Suspect — check for look-ahead, tiny N, or an error Bigger is not automatically better. A sustained average above ~+0.40R on a simple system is more often a sign of a mistake than a goldmine, and should be interrogated, not celebrated. 9. How to trade it The workflow separates the slow, careful job (deciding what to trade) from the fast one (executing when it triggers). 1. Weekly — curate. Flick through your watchlist. On each symbol read the Auto panel and note the verdict per side. Add Green symbols to the matching Green list (long or short) in settings, and Amber symbols to the Amber lists. Skip the reds. 2. Set once — the blanket alert. On a 4H chart create the “Watchlist near breakout” alert, set to Once Per Bar Close. It pings only for your Green/Amber symbols when one is trending and nearing its rail. 3. On the ping — find the trade. Open the Radar. Confirm the symbol shows Green/Amber Go + NEAR + the right direction. 4. Arm the entry. On that symbol's chart set the “Breakout Long/Short” alert, also Once Per Bar Close, so only a close beyond the rail can fire it (no wicks). 5. Enter. When the triangle prints, take the trade and place your stop on the orange trailing line. 6. Manage. Step the stop along with the line as it moves your way — never against you. Exit on the touch. No fixed target; let the trail decide. 10. Trading rules and risk discipline Trade Green in the validated direction. Amber is watch-and-small-size. Red is no trade. A break against the trend is not your trade. Skip it, however tempting. Judge over a batch of trades, never one. A single loss says nothing about a positive expectancy system; variance is the cost of admission. One settings set for all symbols. Never tune the inputs per symbol to flatter the past — that is curve-fitting. If you change a strategy setting, re-test both date windows before trusting it again. Size correlated instruments as one position. A basket of yen crosses, or a basket of equity indices, is one bet wearing several names. Three 1% longs that all rise and fall together is a 3% bet on one theme, not three diversified trades. 11. Settings reference Setting Default What it does Breakout channel 20 Bars used for the high/low rails Near-break heads-up 0.5 ATR How close to the rail counts as NEAR Dominant EMA 200 The trend reference line EMA slope lookback 5 Bars used to judge the EMA's slope With-trend only On Blocks counter-trend and flat-market breaks Higher timeframe Off / 1D Optionally require the daily to agree Initial stop 1.5 ATR Defines one R (entry to stop) Chandelier trail 3.0 ATR Trailing distance below the running extreme Trade window 60 bars How far the backtest follows each signal Cost per trade 0 Round-trip cost in price units (set per instrument) Test windows A / B 2019–21 / 22–now The two regimes the Auto grade checks Qualify Avg R / N 0.10 / 50 Thresholds for a Green verdict, per window Scan timeframe 4H Timeframe the Radar evaluates Score threshold 50 Minimum trend score to appear on the Radar 12. Non-repainting, and honest limitations Non-repainting by design. Signals use closed-bar prices and the prior-bar channel, the higher timeframe pull uses the last closed bar, and the backtest only ever replays bars that were already in the past relative to each signal. What you see on history is what you would have seen live. What a backtest can and cannot tell you. The replay is a simulation. It assumes fills at the touched price and a fixed cost; live trading adds variable spread, slippage, gaps and partial fills. Treat the Avg R as an estimate of edge and direction, not a promise of returns. Forward-test before you scale. The Green/Amber lists are your own settings inputs — the tool surfaces your decisions, it does not validate them for you. Correlated symbols inflate the apparent number of edges; the count is not the same as diversification. A strong directional drift in an asset class (equities up, for example) can make a one-sided system look better than the rule itself is. This indicator is a decision-support and research tool. It is not financial advice and does not place trades. Markets carry risk; past performance does not guarantee future results. You are responsible for your own decisions and risk. Apex Edge — Trend Breakout Radar finds the trend Auto/Go says if it pays Arrow times entry Orange line manages Exit
Pine Script® Indikator
von ApexEdge
Midnight Open Range NY by Luca Francesco**Midnight Open Range NY** * Berechnet die Midnight Open Range von **00:00 bis 00:30 New York Zeit**. * Zeichnet ein halbtransparentes graues Rechteck für die Range. * Zeigt Fibonacci-Level bei **100 %, 75 %, 50 %, 25 % und 0 %**. * Alle Level werden nach rechts unendlich verlängert. * Datum wird links neben jeder Range angezeigt. * Speichert und zeigt die letzten **20 Ranges**. * Funktioniert auf **M1, M5 und M15**. * Automatische Aktualisierung ohne Repainting. * Geeignet für Breakouts, ICT-Konzepte, Liquidity Sweeps sowie Intraday- und Scalping-Trading.
Pine Script® Indikator
von Lucafraalb
VOLD Confluence Table [MMT]VOLD Confluence Table is a compact market-internals dashboard that overlays directly on your main chart and summarizes VOLD, ADD, and TICK into a single, tradeable bias signal and day-type read. What this indicator shows VOLD : measures whether volume is flowing into advancing or declining stocks on the exchange, giving you the “horsepower” behind the move. ADD : tracks how many stocks are advancing vs declining, giving a breadth read on participation. TICK : looks at how many stocks are ticking up vs ticking down right now, acting as a very short-term sentiment and momentum gauge. All three are pulled into a 3‑column table (Label / Value / Signal) plus rows for VOLD trend vs SMA, day type (Trend / Chop / Responsive), and an overall bias + 0–6 confluence score. Core logic and signals Bull/bear scores are built from six binary conditions each (VOLD sign, strong VOLD, ADD sign, strong ADD, TICK sign, TICK momentum levels). When 5+ of the bull (or bear) conditions align, the indicator flags a potential “Trend Day” in that direction; 4 gives “High Confidence” bias, while low scores on both sides classify the session as “Chop.” A VOLD SMA filter on a higher timeframe (default 5‑min) labels whether VOLD is ABOVE or BELOW its SMA and applies a “freight train” rule: strong expanding VOLD above SMA triggers “🚂 NO SHORT,” strong contracting VOLD below SMA triggers “🚂 NO LONG,” discouraging fades against a powerful breadth/volume trend. Divergence logic highlights when ADD and VOLD disagree (e.g., ADD bullish while VOLD is negative), which often signals distribution/absorption or unstable internals; these are labeled as divergence with a caution bias. How to use it intraday Pre-session / first 30–60 minutes Watch the BIAS row and score: a quick push to 4–6 on one side with “✦ TREND” TYPE suggests you lean with that side for the day (buy pullbacks in bull trend, sell bounces in bear trend). Check the SMA row: “🚂 NO SHORT” or “🚂 NO LONG” means avoid fading the index just because it feels extended; treat counter‑trend scalp ideas as lower probability. During the session Use the TYPE row: “✦ TREND” → favor continuation setups, avoid fighting the dominant side. “✕ CHOP” → stand down on trend assumptions, consider mean‑reversion or smaller size. “◈ RESPONSIVE” → market is two‑sided; treat both extremes carefully and rely more on local structure. Watch VOLD Δ (EXPANDING / CONTRACTING / FLAT) to confirm whether a move in your index is being reinforced by broad volume or starting to lose pressure. Risk and filter use-cases Use “Chop Detected” / low confluence as a filter to reduce size or skip marginal setups when internals show no clear edge. Use divergence alerts (ADD vs VOLD) as a reason to tighten risk or take partials if you are heavily positioned and internals stop agreeing with the move. SMA Filter: VOLD SMA Length (default 10) VOLD SMA Timeframe (default 5‑minute) Shorter lengths or timeframes make the freight-train bias more reactive; longer settings smooth out noise. Alerts The script includes alert conditions for key regime shifts so you do not have to stare at the table all day: Trend Day Bull / Bear (score ≥ 5) VOLD crossing above/below its SMA (freight train flips) ADD/VOLD divergence Chop detected (no edge) These can be tied to popups, sounds, or webhooks so your automation or discretionary workflow can react when internals meaningfully change state.
Pine Script® Indikator
von isthattyler
1
Texas Hold'em Engine [BOX Max Size Edition]Texas Hold'em NOTICE / DISCLAIMER This architecture is NOT a mere entertainment tool. It is a highly advanced algorithmic multi-state logic simulation engine disguised as a Texas Hold'em framework, specifically designed to test the computational overhead, state persistence, and localized rendering boundaries of Pine Script v6 under live tick conditions. EXECUTIVE SUMMARY This script is deployed as a Proof of Concept (PoC) to demonstrate the extreme limits of Pine Script v6's array processing, state evaluation capabilities, and localized UI rendering. It functions as a rigorous technical benchmark for developers building institutional-grade algorithmic dashboards directly on TradingView charts. By leveraging box.new() structures, this script successfully bypasses TradingView's native text scaling limits, allowing for massive UI components that seamlessly track price volatility. SYSTEM USAGE (How-To / Interactive Execution Flow) Initialization: Apply the script to a chart. The system automatically initializes a deterministic pseudo-random array shuffle based on the Game Seed. Phase Progression: The script executes across 6 distinct phases based on the bar index: Dealing, Pre-Flop, Flop, Turn, River, and Showdown. Player Action Inputs: Using the Settings menu, manually override your decisions (FOLD, CALL/CHECK, RAISE) during the Pre-Flop, Flop, Turn, and River phases. CPU State Engine: The opposing CPU evaluates the market's volatility via the True Range (ATR). If ta.tr / ta.sma(ta.tr, 14) > 1.5, the CPU assumes an aggressive posture and executes a "RAISE". Stateful Transaction Engine: As actions are selected, the system calculates blind deductions, raise accumulations, and pot sizes. The var driven memory engine perfectly retains chip stack data across chart ticks and resets seamlessly upon determining a winner via Fold or Showdown. Evaluation: At the Showdown phase, a localized combinatorics engine processes a 7-card array for both entities, scoring the best 5-card combinations using mathematical rank arrays to determine the victor and award the accumulated pot. ARCHITECTURE & QUANTITATIVE LOGIC (Technical Specifications) Bounding Box Scaling Algorithm (Localized UI Vector Scaling) Standard label.new() text strings are hard-capped at size.huge (approx. 36px), which fails to scale alongside chart zooming. To override this limitation, vector Unicode strings are injected into a box.new() container. The Y-axis boundaries are mathematically locked to the Average True Range (ATR). Formula: Top = Y_Position + (ATR / 2) Bottom = Y_Position - (ATR / 2) Calculation Example: Given an asset trading at Y = 150.00 with an ATR = 2.0. Top = 150.00 + (2.0 / 2) = 151.00 Bottom = 150.00 - (2.0 / 2) = 149.00 The resulting Y-axis width of the box is strictly 2.0. By enforcing a strict volatility-based bounding box, the text engine is overridden, forcing the Unicode vectors to dynamically scale in perfect proportion to market noise. Persistent State Memory (Transaction Logic) TradingView charts inherently recalculate scripts on every new price tick. To prevent the chip stacks and pot sizes from resetting, the system employs Pine Script's var declaration alongside a custom last_calc_state tracker. This ensures that deductions and additions are mathematically locked only once per phase transition, proving that complex financial state machines can run cleanly alongside heavy visual rendering without consuming object limit quotas. Deterministic Pseudo-Random Array Shuffling (LCG Implementation) To eliminate chart repainting across continuous tick streaming, a Linear Congruential Generator (LCG) loop reorganizes the 52-element primary array via modulo arithmetic: Swap_Index = (Seed + i * 7) % (i + 1) This math guarantees identical randomizations across every chart tick refresh, achieving absolute visual stability. INPUT PARAMETERS REFERENCE Chip & Betting System: Configure initial starting stacks, blind amounts, and default raise sizes. UI Mode: Toggles between a static Table grid and the dynamic Chart-Linked Box rendering. Force Enlarge Cards with Box Text: Activates the bounding box algorithm mentioned above. Y-Axis Reference Price: Anchors the floating UI to High, Low, or Close prices to prevent visual collision with candlestick series. テキサスホールデム 免責事項 本アーキテクチャは単なる娯楽ツールではありません。これは、テキサスホールデムのフレームワークを模した、高度な多状態ロジックシミュレーションエンジンであり、Pine Script v6におけるライブティック更新下の計算オーバーヘッド、状態変数の永続性（メモリ保持）、および局所的レンダリングの限界を検証するために特別に設計されています。 エグゼクティブ・サマリー 本スクリプトは、Pine Script v6の配列処理、状態評価、およびUI描画の極限を実証するための概念実証（PoC）モデルです。TradingView上でクォンツレベルのアルゴリズム・ダッシュボードを構築する開発者に向けた技術的ベンチマークとして機能します。box.new()構造体を応用することで、TradingViewネイティブのテキスト縮尺制限を突破し、ボラティリティに追従する巨大なUIコンポーネントの描画を実現しています。 システム実行手順（インタラクティブ実行フローの詳細） 初期化: スクリプトをチャートに適用すると、Game Seedに基づく決定論的疑似乱数アルゴリズムにより、配列のシャッフルが初期化されます。 フェーズ進行: バーインデックスに基づき、Dealing、Pre-Flop、Flop、Turn、River、Showdownの6つのフェーズが自動進行します。 プレイヤーアクション: 設定画面のプルダウンから、各フェーズ（Pre-Flop〜River）における自身のアクション（FOLD, CALL/CHECK, RAISE）を手動でオーバーライドします。 CPU状態エンジン: 対面（CPU）は、True Range (ATR)を用いて市場のボラティリティを評価します。ta.tr / ta.sma(ta.tr, 14) > 1.5の場合、CPUはアグレッシブな状態と判断し「RAISE」を実行します。 状態記憶トランザクションエンジン: アクションが選択されると、システムはブラインドの徴収、レイズによる資金移動、POTの合計を瞬時に計算します。var変数で構築されたメモリエンジンにより、ティックが更新されてもチップスタックは完璧に保持され、勝敗確定時に正確に清算されます。 役の評価: Showdownフェーズにて、ローカルの組み合わせ評価エンジンが双方の7要素配列を処理し、ランク配列を用いて最適な5枚の組み合わせをスコアリングし、勝敗の決定とPOTの分配を行います。 アーキテクチャおよび定量的ロジック（技術仕様） Bounding Boxスケーリング・アルゴリズム（局所的UIベクタースケーリング） 標準の label.new() オブジェクトは最大フォントサイズが size.huge（約36px）に制限されており、チャートの拡大縮小に追従しません。この制限をオーバーライドするため、ベクターテキストを box.new() 構造体に注入し、Y軸の境界をAverage True Range (ATR)に同期させます。 計算式: Top = Y座標 + (ATR / 2) Bottom = Y座標 - (ATR / 2) 実際の計算例: 現在価格 Y = 150.00、ATR = 2.0 の資産の場合。 Top = 150.00 + (2.0 / 2) = 151.00 Bottom = 150.00 - (2.0 / 2) = 149.00 出力されるBoxのY軸幅は正確に 2.0 となります。価格変動（ボラティリティ）に基づく厳格な境界ボックスを強制することで内部レンダリングエンジンをハックし、市場のノイズに完全に比例したダイナミックなテキストスケーリングを実現しています。 永続的状態メモリ（トランザクションロジック） TradingViewのチャートは、価格ティックが動くたびにスクリプト全体を再計算します。この挙動によってチップスタックやPOTがリセットされるのを防ぐため、Pine Scriptの var 宣言と独自の last_calc_state トラッカーを組み合わせています。これにより、各フェーズの移行時に一度だけ確実な資金移動計算がロックされます。これは、高度な描画処理と並行して、複雑な金融ステートマシンが制限オブジェクト（BoxやLabel）を消費することなくクリーンに動作することを証明しています。 ] 決定論的疑似乱数による配列シャッフル（LCGの実装） ティック更新におけるリペイントを防ぐため、剰余演算を用いた線形合同法（LCG）アルゴリズムが52要素のプライマリ配列を並び替えます。 Swap_Index = (Seed + i * 7) % (i + 1) この数理モデルにより、すべてのティック再計算において完全に同一の配列並び順が維持されます。 主要入力パラメーター仕様 Chip & Betting System: 初期スタック量、ブラインド額、デフォルトのレイズ額を設定します。 UI Mode: 固定テーブル描画と、チャート連動型のBOX描画を切り替えます。 Force Enlarge Cards with Box Text: 上記のバウンディングボックス・アルゴリズムを有効化します。 Y-Axis Reference Price: ローソク足との視覚的な衝突を避けるため、フローティングUIの基準アンカーをHigh, Low, Closeのいずれかに固定します。
Pine Script® Indikator
von ALT_analyst
Automated Position size calculatorThis is a position size calculator that automatically tracks the current best market price. Its simple to use you just set your account size, max position size and maximum risk percentage per trade. Set your stop loss which can then be dragged on the chart and it will give you a live position size that moves with price. This allows fast traders who get in their trades with market orders to get in with an accurate position once they have defined the stop loss for the trade. This is incredibly efficient compared to any other position size calculations including the standard long and short position tools on trading view you can remove all the noise in the settings and just have you stop loss and take profit lines with the readout of current correct position size. Stop over or under positioning when getting in fast.
Pine Script® Indikator
von kmandemz91