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Custom ORBIT GSK-VIZAG-AP-INDIA🚀 Custom ORBIT — Opening Range Breakout & Reversal Indicator This indicator automatically calculates and plots the Opening Range (OR) high and low levels for a user-defined session and duration. It is designed to assist intraday traders by providing immediate visual signals for both price breakouts and subsequent reversals from these key levels. The indicator is particularly suitable for markets with defined trading hours, such as the Indian indices (Nifty, Bank Nifty), given its default time settings are based on GMT+5:30. ⚙️ How It Works (Indicator Logic) The indicator operates based on three main logical components: time definition, level calculation, and signal generation. 1. Time Session and Range Definition: All time calculations are based on GMT+5:30 (Indian Standard Time/IST). The script defines a specific trading session from a customizable start time (default 9:15 AM) to a session end time (default 3:30 PM). The Opening Range (OR) is established during the initial duration, which is set by the rangeMinutes input (default 15 minutes, meaning the OR is calculated from 9:15 AM to 9:30 AM). 2. Level Calculation and Plotting: During the initial range duration, the script captures the absolute highest price (OR High) and the absolute lowest price (OR Low). Once this period ends, two horizontal lines—a green line for the OR High and a red line for the OR Low—are drawn and automatically extended across the chart for the remainder of the active trading session. The visual style of these lines can be customized to Dotted, Dashed, or Solid. 3. Breakout and Reversal Logic: The indicator actively tracks the market's state relative to the OR levels to generate four distinct signals: Break Up: A signal is generated when the closing price crosses over the OR High, indicating potential upward momentum. Break Down: A signal is generated when the closing price crosses under the OR Low, indicating potential downward momentum. Reversal Down: This yellow signal occurs only after a price has already broken above the OR High (Break Up state), and then the price moves back into the range (closing below the ORH), suggesting a failed breakout. Reversal Up: This yellow signal occurs only after a price has already broken below the OR Low (Break Down state), and then the price moves back into the range (closing above the ORL), suggesting a failed breakdown. 💡 Suggested Use Cases The signals generated by this indicator can be used in two primary ways: Breakout Trading: A trader may enter a long position on a "Break Up" signal or a short position on a "Break Down" signal. A common risk management practice is to use the opposite OR level (ORL for long trades, ORH for short trades) as a stop-loss reference. Faded Breakout / Reversal Trading: Look for the yellow "Reversal Up" or "Reversal Down" signals. These signals indicate a rejection of the OR level, and a trader may take a counter-trend position with the expectation that the price will return to the consolidation range or move toward the opposite OR level. ⚠️ Educational Disclaimer This indicator is for educational and illustrative purposes only. It provides technical signals based on mathematical calculation of price action and should not be construed as financial advice, trading advice, or a solicitation to buy or sell any financial instrument. Trading carries a high level of risk, and you may lose more than your initial deposit. Past performance is not indicative of future results. Always consult with a qualified financial professional before making any investment decisions.
Indikator Pine Script®
oleh prowelltraders
H1 Bias Rhythmic Lite Public V1.0 by SRTH1 Bias Rhythmic Lite Public V1.0 by SRT Version: 1.0 (Public Lite) Author: SRT Platform: TradingView / Pine Script v6 Overlay: Yes (works directly on price chart) Purpose: Provide H1 directional bias with D1 alignment and basic rhythm signals. Perfect for traders looking for clean bias visualization without clutter. 💡 Key Features H1 Bias (Primary Engine) Uses EMA7, EMA40, SMA150, and SMA200 for H1 directional bias. Clearly identifies bullish, bearish, and neutral conditions. Stack-based logic ensures consistency and reliability. D1 Bias Alignment Pulls higher timeframe (daily) EMA40, SMA150, SMA200. Confirms H1 bias alignment with daily trend. Helps filter trades in the direction of the larger trend. Flush Detection H1 flushes: Price fully “flushed” beyond EMA7 for bullish/bearish setups. D+H1 flush: Aligns H1 flush with D1 bias for stronger context. Visual dots with configurable sizes and colors indicate flush levels. Price Action Signals Engulfing (EB) detection with ATR filtering and body % thresholds. Long Tail Body (LTB) detection with optional body % filter for precise swing points. Both EB and LTB signals show clear labels above/below the candle for instant recognition. ATR-Based Dynamic Offsets Uses ATR (configurable length) to scale labels and flush dot offsets dynamically. Ensures signals are proportionate to volatility. Daily Pivot & Session Lines Daily pivot plotted automatically. Option to show daily session high-low lines and day labels. Easily configurable label sizes and colors. Bias Summary Table Top-right table shows: D1 bias H1 bias LTB allowed (Yes/No) Color-coded for easy reference: green = Bull, red = Bear, gray = Neutral. Alerts H1 flush and D+H1 flush alerts. LTB active alerts when bias is aligned. Perfect for keeping an eye on actionable swings. ⚙️ User Inputs Moving Average Lengths: EMA7, EMA40, SMA150, SMA200 Show/Hide MAs: Toggle to declutter the chart ATR Settings: Length and % threshold for EB/LTB sizing Signal Toggles: Show/Hide EBull, EBear, LTB Bull, LTB Bear, Flush Dots Daily Pivot & Label Settings: Toggle visibility, label size, line/text colors ✅ Advantages for Users Lightweight and fast — minimal lag on H1 charts. Clear visualization of market bias and swing points. Free access to core H1 Bias Rhythmic methodology. Serves as a learning tool for traders who want to upgrade later. ⚠️ Limitations No automatic entries, stops, or take profits (manual trade execution required). Lite version only offers simplified signals and bias visualization. Advanced rhythm and multi-timeframe alerts are reserved for the Premium version. 📢 Short Promo for Premium For traders who want full power, check out H1 Bias Rhythmic Premium V1.0 by SRT — complete multi-phase alerts, advanced LTB & EB filters, EMA/SMA flip confirmations, and professional-level rhythm signals. Upgrade to premium for the full H1 trading experience.
Indikator Pine Script®
oleh BadgerGo1314
Delta Grid Delta Grid H/L/C (Approx) Delta Grid H/L/C (Approx) is an order-flow style table that breaks down intrabar delta behavior per candle and displays it in a clean, easy-to-read grid below your chart. Instead of guessing what happened inside a candle, this indicator shows you: Delta High – the maximum aggressive buying reached within the bar Delta Low – the maximum aggressive selling reached within the bar Delta Final – where delta closed when the candle finished All values are displayed in a stand-alone table, making it easy to scan recent bars and quickly spot momentum shifts, absorption, and potential trap behavior. How It Works This indicator approximates intrabar delta by: Aggregating lower-timeframe volume Classifying volume direction based on price movement Tracking the running delta inside each candle Recording the highest, lowest, and final delta values per bar A heat-mapped background is applied to the Final Delta column: Green shades = net aggressive buying Red shades = net aggressive selling Brighter colors = stronger imbalance relative to recent bars Key Features Stand-alone Delta Grid panel below the chart Per-bar Delta High / Delta Low / Delta Final Heat-mapped Final Delta for fast visual interpretation Optional time column for precise bar reference Adjustable lookback and scaling settings Clean layout designed for futures, crypto, and index trading How Traders Use It This tool is ideal for: Spotting absorption at highs and lows Identifying failed breakouts and traps Confirming trend strength or exhaustion Reading order-flow shifts without footprint charts Pairing with VWAP, Initial Balance, Supply & Demand, and Market Structure Important Notes This is an approximate delta calculation due to TradingView data limitations. It does not use true bid/ask volume. For true order-flow delta, a platform with native tick data (e.g., Tradovate or NinjaTrader) is required. Recommended Settings Use a lower timeframe (1s–15s if available) for better intrabar accuracy Combine with key levels (VWAP, IBH/IBL, prior highs/lows) for best results
Indikator Pine Script®
oleh forsakenSwift63419
takeshi MNO_2Step_Screener_MOU_MOUB_KAKU//@version=5 indicator("MNO_2Step_Screener_MOU_MOUB_KAKU", overlay=true, max_labels_count=500, max_lines_count=500) // ========================= // Inputs // ========================= emaSLen = input.int(5, "EMA Short (5)", minval=1) emaMLen = input.int(13, "EMA Mid (13)", minval=1) emaLLen = input.int(26, "EMA Long (26)", minval=1) macdFast = input.int(12, "MACD Fast", minval=1) macdSlow = input.int(26, "MACD Slow", minval=1) macdSignal = input.int(9, "MACD Signal", minval=1) macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05) volDays = input.int(5, "Volume avg (days equivalent)", minval=1) volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1) volStrong = input.float(1.5, "Strong volume ratio (MOU-B/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, "Valid bars after break", minval=1) showEMA = input.bool(true, "Plot EMAs") showLabels = input.bool(true, "Show labels (猛/猛B/確)") showShapes = input.bool(true, "Show shapes (猛/猛B/確)") confirmOnClose = input.bool(true, "Signal only on bar close (recommended)") locChoice = input.string("Below", "Label location", options= ) lblLoc = locChoice == "Below" ? location.belowbar : location.abovebar // ========================= // 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_2bars = close > emaL and close > emaL baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2bars // ========================= // 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 macdKakuOK = macdGCAboveZero // ========================= // Volume (days -> bars) // ========================= sec = timeframe.in_seconds(timeframe.period) barsPerDay = (sec > 0 and sec < 86400) ? math.round(86400 / sec) : 1 volLookbackBars = math.max(1, volDays * barsPerDay) volMA = ta.sma(volume, volLookbackBars) volRatio = volMA > 0 ? (volume / volMA) : na volumeMouOK = not na(volRatio) and volRatio >= volMinRatio and volRatio <= volMaxRatio volumeStrongOK = not na(volRatio) and 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 = (body > 0) and (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 = not na(pullbackPct) and pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct brokeRes = ta.crossover(close, res ) barsSinceBreak = ta.barssince(brokeRes) afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars) pullbackRouteOK = afterBreakZone and pullbackOK // ========================= // Signals (猛 / 猛B / 確) // ========================= mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK mou_breakout = baseTrendOK and ta.crossover(close, res ) and volumeStrongOK and macdKakuOK cond1 = emaUpS and emaUpM and emaUpL cond2 = goldenOrder cond3 = above26_2bars cond4 = macdKakuOK cond5 = volumeMouOK cond6 = candleOK cond7 = pullbackOK cond8 = pullbackRouteOK all8 = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8 final3 = pinbar and macdKakuOK and volumeStrongOK kaku = all8 and final3 // 確優先（同一足は確だけ出す） confirmed = confirmOnClose ? barstate.isconfirmed : true sigKAKU = kaku and confirmed sigMOU = mou_pullback and not kaku and confirmed sigMOUB = mou_breakout and not kaku and confirmed // ========================= // Visualization // ========================= if showLabels and sigMOU label.new(bar_index, low, "猛", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black) if showLabels and sigMOUB label.new(bar_index, low, "猛B", style=label.style_label_up, color=color.new(color.green, 0), textcolor=color.black) if showLabels and sigKAKU label.new(bar_index, low, "確", style=label.style_label_up, color=color.new(color.yellow, 0), textcolor=color.black) plotshape(showShapes and sigMOU, title="MOU", style=shape.labelup, text="猛", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showShapes and sigMOUB, title="MOUB", style=shape.labelup, text="猛B", color=color.new(color.green, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showShapes and sigKAKU, title="KAKU", style=shape.labelup, text="確", color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small) // ========================= // Alerts // ========================= alertcondition(sigMOU, title="MNO_MOU", message="MNO: 猛（押し目）") alertcondition(sigMOUB, title="MNO_MOU_BREAKOUT", message="MNO: 猛B（ブレイク）") alertcondition(sigKAKU, title="MNO_KAKU", message="MNO: 確（最終）") alertcondition(sigMOU or sigMOUB or sigKAKU, title="MNO_ALL", message="MNO: 猛/猛B/確 いずれか")
Indikator Pine Script®
oleh morishima0ut6b
Timeframe Overlay 24HrDaily High–Low Box (00:00–23:59) This indicator highlights each trading day with a shaded box spanning from 00:00 to 23:59 (based on the selected timezone) and covering the day’s highest and lowest price. • Green box when the day closes above its open • Red box when the day closes below its open • Historical days are fully drawn for easy comparison • Current day box builds dynamically as new candles form Useful for visualising daily range, market bias, and intraday structure across all timeframes.
Indikator Pine Script®
oleh Knotty0807
EMA 8 / 20 / 200Created to easily use the 8/20/200 strategy. This indicator is designed to give a clear, multi-timeframe view of trend, momentum, and structure using three exponential moving averages. 1. Trend direction (EMA 200 – pink) The 200 EMA acts as the long-term trend filter. Price above the 200 EMA suggests a bullish market bias. Price below the 200 EMA suggests a bearish market bias. Many traders avoid taking trades against this higher-timeframe direction. 2. Momentum and trade bias (EMA 20 – blue) The 20 EMA reflects short-term momentum. When price respects the 20 EMA in an uptrend, pullbacks often provide continuation entries. In downtrends, the 20 EMA frequently acts as dynamic resistance. 3. Entry timing (EMA 8 – yellow) The 8 EMA is a fast reaction line used for precise timing. Crosses of the 8 EMA over the 20 EMA can signal momentum shifts. Strong trends often show price holding above (or below) the 8 EMA during impulse moves. 4. Confluence and trade filtering The indicator works best when the EMAs are aligned: Bullish alignment: EMA 8 > EMA 20 > EMA 200 Bearish alignment: EMA 8 < EMA 20 < EMA 200 Misaligned EMAs usually indicate consolidation or low-probability conditions. 5. Risk management context EMAs can act as dynamic support and resistance: Stops are often placed beyond the 20 EMA or 200 EMA depending on trade horizon. Loss of EMA structure is a warning sign that the trend may be weakening. In short, the indicator is a trend-first, momentum-second framework that helps you decide when to trade, in which direction, and when to stay out.
Indikator Pine Script®
oleh Knotty0807
BTC - ALSI: Altcoin Season Index (Dynamic Eras)Title: BTC - ALSI: Altcoin Season Index (Dynamic Eras) Overview & Philosophy The Altcoin Season Index (ALSI) is a quantitative tool designed to answer the most critical question in crypto capital rotation: "Is it time to hold Bitcoin, or is it time to take risks on Altcoins?" Most "Altseason" indicators suffer from Survivor Bias or Obsolescence. They either track a static list of coins that includes "dead" assets from previous cycles (ghosts of 2017), or they break completely when major tokens collapse (like LUNA or FTT). This indicator solves this by using a Time-Varying Basket. The indicator automatically adjusts its reference list of Top 20 coins based on historical eras. This ensures the index tracks the winners of the moment—capturing the DeFi summer of 2020, the NFT craze of 2021, and the AI/Meme narratives of 2024/2025. Methodology The indicator calculates the percentage of the Top 20 Altcoins that are outperforming Bitcoin over a rolling window (Default: 90 Days). The "Win" Count: For every major Altcoin performing better than BTC, the index adds a point. Dynamic Eras: The basket of coins changes depending on the date: 2020 Era (DeFi Summer): Tracks the "Blue Chips" of the DeFi revolution like UNI, LINK, DOT, and early movers like VET and FIL. 2021 Era (Layer 1 Wars): Tracks the explosion of alternative smart contract platforms, adding winners like SOL, AVAX, MATIC, and ALGO. 2022 Era (The Survivors): Filters for resilience during the Bear Market, solidifying the status of established assets like SHIB and ATOM. 2023 Era (Infrastructure & Scale): Captures the rise of "Next-Gen" tech leading into the pre-halving year, introducing TON, APT (Aptos), and ARB (Arbitrum). 2024/25 Era (AI & Speed): Tracks the current Super-Cycle leaders, focusing on the AI narrative (TAO, RNDR), High-Performance L1s (SUI), and modern Memes (PEPE). Chart Analysis & Strategy ( The "Alpha" ) As seen in the chart above, there is a strong correlation between ALSI Peaks and local tops in TOTAL3 (The Crypto Market Cap excluding BTC & ETH). The Entry (Rotation): When the indicator rises above the neutral 50 line, it signals that capital is beginning to rotate out of Bitcoin and into Altcoins. This has historically been a strong confirmation signal to increase exposure to high-beta assets. The Exit (Saturation): When the indicator hits 100 (or sustains in the Red Zone > 75), it means every single Altcoin is beating Bitcoin. Historically, this extreme exuberance often marks a local top in the TOTAL3 chart. This is the zone where smart money typically sells into strength, rather than opening new positions. How to Read the Visuals 🚀 Altcoin Season (Red Zone > 75): Strong Altcoin dominance. The market is "Risk On." 🛡️ Bitcoin Season (Blue Zone < 25): Bitcoin dominance. Alts are bleeding against BTC. Historically, this is a defensive zone to hold BTC or Stablecoins. Data Dashboard: A status table in the bottom-right corner displays the live Index Value, current Regime, and a System Check to ensure all 20 data feeds are active. Settings Lookback Period: Default 90 Days. Lowering this (e.g., to 30) makes the index faster but noisier. Thresholds: Adjustable zones for Altcoin Season (Default: 75) and Bitcoin Season (Default: 25). Credits & Attribution This open-source indicator is built on the shoulders of giants. I acknowledge the original creators of the concept and the pioneers of its implementation on TradingView: Original Concept: BlockchainCenter.net. - They established the industry standard definition: 75% of the Top 50 coins outperforming Bitcoin over 90 days = Altseason.. TradingView Implementation: Adam_Nguyen - He implemented the "Dynamic Era" logic (updating the coin list annually) on TradingView. Our code structure for the time-based switching is inspired by his methodology. See also his implementation in the chart. ( Altcoin Season Index - Adam) . Comparison: Why use ALSI | RM? While inspired by the above, ALSI introduces three key improvements: Open Source: Unlike other popular TradingView versions (which are closed-source), this script is fully transparent. You can see exactly which coins are triggering the signal. Sanitized History (Anti-Fragile): Historical Top 20 snapshots are not blindly used. "Dead" coins (like LUNA and FTT) from previous eras are manually filtered out. A raw index would crash during the Terra/FTX collapses, giving a false "Bitcoin Season" signal purely due to bad actors. The curated list preserves the integrity of the market structure signal. Narrative Relevance: The 2024/25 basket was updated to include TAO (Bittensor) and RNDR, ensuring the index captures the dominant AI narrative, rather than tracking fading assets from the previous cycle. You can compare the ALSI indicator with other available tradingview indicators in the chart: Different indicators for the same idea are shown in the 3 Pane window below the BTC and Total3 chart, whereas ALSI is the top pane indicator. Important Note on Coin Selection Baskets are highly curated: Dead/irrelevant coins (FTT, LUNA, BSV) are excluded for clean signals. This prevents historical breaks and ensures Era T5 captures current narratives (AI, Memes) via TAO/RNDR. See above. Users are free to adjust the source code to test their own baskets. Disclaimer This script is for research and educational purposes only. Past correlations between ALSI and TOTAL3 do not guarantee future results. Market regimes can change, and "Altseasons" can be cut short by macro events. Tags bitcoin, btc, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths
Indikator Pine Script®
oleh Rob_Maths
MA20 ATR Trend Failure FilterA volatility-adaptive filter designed to identify early trend invalidation. This indicator combines a 20-period Moving Average (MA20) with Average True Range (ATR) to dynamically define a lower volatility boundary. When price closes below this boundary, it signals that the current trend is no longer valid and risk is increasing. Core Concept（核心思想） MA defines the trend baseline ATR measures current market volatility MA − k × ATR forms a dynamic risk threshold A close below this threshold = trend failure 👉 中文补充： 这不是反转指标，而是趋势失效过滤器，用于避免在趋势已经被破坏后继续持仓或加仓。 How It Works Calculate MA20 as the trend reference Calculate ATR(14) as volatility proxy Build adaptive bands: Upper Band = MA20 + k × ATR Lower Band = MA20 − k × ATR If close < Lower Band, trend is considered failed The ATR multiplier k automatically adjusts the tolerance based on volatility, avoiding rigid fixed-percentage rules. Visual Elements Yellow line: MA20 Green band: MA20 + k × ATR Red band: MA20 − k × ATR (key risk boundary) Red triangle + “FAIL” label: Trend failure signal Optional background shading to highlight risk zones Typical Use Cases Trend-following strategies (exit / reduce exposure) Breakout strategies (filter false continuation) Risk management overlay (non-intrusive, no repaint) Combine with HMA, SuperTrend, structure-based entries 👉 中文补充： 非常适合作为**“不该再拿”的客观判断条件**，而不是频繁交易信号。 Why This Indicator Volatility-adaptive (ATR-based) No future data, no repaint Simple logic, strong risk control Works across stocks, crypto, futures, indices This tool is designed to answer one question only: Is the current trend still valid? Parameters MA Length (default: 20) ATR Length (default: 14) ATR Multiplier k (default: 0.8) Lower k → stricter risk control Higher k → more tolerance, fewer false signals SSE:600595
Indikator Pine Script®
oleh LuckyFirst
Liquidity Sentiment Profile | LUPENIndicator Guide: Liquidity Sentiment Profile (LSP). What is the LSP? The Liquidity Sentiment Profile (LSP) is a "Next-Generation" oscillator designed to look beyond simple price action. While standard indicators (like RSI or MACD) primarily focus on where a candle closes, the LSP analyzes the micro-structure of the entire candle—specifically the relationship between the candle's Body, its Wicks (Shadows), and the Volume. The Core Philosophy: Wicks tell the truth: A long lower wick indicates that sellers pushed the price down, but buyers aggressively absorbed that liquidity and pushed it back up. That is hidden bullish strength. Volume validates intent: A price move with low volume is noise. A price move (or wick rejection) with high volume is a commitment by institutional players. The LSP calculates a "Sentiment Score" between -100 and +100 based on these factors. How to Read the Visuals The Colors (Intensity) color: Light Green - Bullish Acceleration. Buyers are in control, and momentum is increasing. This is the ideal time to be in a Long trade. color: Dark Green - Bullish Deceleration. Buyers are still in control (price is likely rising), but the momentum is fading. This is a warning sign to tighten stop-losses or take profits. color: Light Red - Bearish Acceleration. Sellers are dominating, and panic is increasing. This is the ideal time to be Short. color: Dark Red - Bearish Deceleration. Sellers are still in control, but the downward pressure is exhausted. Be careful with new short positions. The Lines & Fills The Main Line: The actual LSP sentiment value. The Yellow Signal Line: A smoothed average of the sentiment. The Core Fill: The colored area between the Main Line and the Signal Line. When this area "glows", the trend is strong. When it dims (Dark), the trend is weak. Bearish Deceleration. Sellers are still in control, but the downward pressure is exhausted. Be careful with new short positions. The Lines & Fills The Main Line: The actual LSP sentiment value. The Yellow Signal Line: A smoothed average of the sentiment. The Core Fill: The colored area between the Main Line and the Signal Line. When this area "glows" (Neon), the trend is strong. When it dims (Dark), the trend is weak. How to Use It (Trading Strategies) Strategy A: The "Power Cross" (Trend Entry) Use this for entering trends when the market wakes up. Long Entry: Wait for the LSP line to cross ABOVE the Yellow Signal Line. Confirmation: The fill color must turn Neon Green. Short Entry: Wait for the LSP line to cross BELOW the Yellow Signal Line. Confirmation: The fill color must turn Neon Red. Strategy B: The "Absorption" Play (Reversals) This is where the LSP shines. It detects when liquidity is being absorbed before price turns. Bullish Absorption: The Price makes a Lower Low, but the LSP makes a Higher Low. This happens because the LSP detects the Volume on the Lower Wicks (buyers absorbing selling pressure). This is a high-probability reversal signal. Bearish Absorption: The Price makes a Higher High, but the LSP makes a Lower High. The volume on the Upper Wicks suggests sellers are absorbing the buy orders. Strategy C: The "Dimming" Exit (Risk Management) Don't wait for the price to crash to exit a trade. If you are in a Long trade (Neon Green) and the color instantly shifts to Dark Green, it means the "fuel" is running out. Consider taking partial profits or moving your Stop Loss to break even. Standard oscillators (like RSI) often give false signals during strong trends (showing "Overbought" while price keeps going up). The LSP avoids this because it weights Volume and Wicks. If price goes up and volume increases, the LSP stays Neon Green, telling you the move is genuine, not just overextended.
Indikator Pine Script®
oleh Horazio
Market Regime# MARKET REGIME IDENTIFICATION & TRADING SYSTEM ## Complete User Guide --- ## 📋 TABLE OF CONTENTS 1. (#overview) 2. (#regimes) 3. (#indicator-usage) 4. (#entry-signals) 5. (#exit-signals) 6. (#regime-strategies) 7. (#confluence) 8. (#backtesting) 9. (#optimization) 10. (#examples) --- ## OVERVIEW ### What This System Does This is a **complete market regime identification and trading system** that: 1. **Identifies 6 distinct market regimes** automatically 2. **Adapts trading tactics** to each regime 3. **Provides high-probability entry signals** with confluence scoring 4. **Shows optimal exit points** for each trade 5. **Can be backtested** to validate performance ### Two Components Provided 1. **Indicator** (`market_regime_indicator.pine`) - Visual regime identification - Entry/exit signals on chart - Dynamic support/resistance - Info tables with live data - Use for manual trading 2. **Strategy** (`market_regime_strategy.pine`) - Fully automated backtestable version - Same logic as indicator - Position sizing and risk management - Performance metrics - Use for backtesting and automation --- ## THE 6 MARKET REGIMES ### 1. 🟢 BULL TRENDING **Characteristics:** - Strong uptrend - Price above SMA50 and SMA200 - ADX > 25 (strong trend) - Higher highs and higher lows - DI+ > DI- (bullish momentum) **What It Means:** - Market has clear upward direction - Buyers in control - Pullbacks are buying opportunities - Strongest regime for long positions **How to Trade:** - ✅ **BUY dips to EMA20 or SMA20** - ✅ Enter when RSI < 60 on pullback - ✅ Hold through minor corrections - ❌ Don't short against the trend - ❌ Don't sell too early **Expected Behavior:** - Pullbacks are shallow (5-10%) - Bounces are strong - Support at moving averages holds - Volume increases on rallies --- ### 2. 🔴 BEAR TRENDING **Characteristics:** - Strong downtrend - Price below SMA50 and SMA200 - ADX > 25 (strong trend) - Lower highs and lower lows - DI- > DI+ (bearish momentum) **What It Means:** - Market has clear downward direction - Sellers in control - Rallies are selling opportunities - Strongest regime for short positions **How to Trade:** - ✅ **SELL rallies to EMA20 or SMA20** - ✅ Enter when RSI > 40 on bounce - ✅ Hold through minor bounces - ❌ Don't buy against the trend - ❌ Don't cover shorts too early **Expected Behavior:** - Rallies are weak (5-10%) - Selloffs are strong - Resistance at moving averages holds - Volume increases on declines --- ### 3. 🔵 BULL RANGING **Characteristics:** - Bullish bias but consolidating - Price near or above SMA50 - ADX < 20 (weak trend) - Trading in range - Choppy price action **What It Means:** - Uptrend is pausing - Accumulation phase - Support and resistance zones clear - Lower volatility **How to Trade:** - ✅ **BUY at support zone** - ✅ Enter when RSI < 40 - ✅ Take profits at resistance - ⚠️ Smaller position sizes - ⚠️ Tighter stops **Expected Behavior:** - Range-bound oscillations - Support bounces repeatedly - Resistance rejections common - Eventually breaks higher (usually) --- ### 4. 🟠 BEAR RANGING **Characteristics:** - Bearish bias but consolidating - Price near or below SMA50 - ADX < 20 (weak trend) - Trading in range - Choppy price action **What It Means:** - Downtrend is pausing - Distribution phase - Support and resistance zones clear - Lower volatility **How to Trade:** - ✅ **SELL at resistance zone** - ✅ Enter when RSI > 60 - ✅ Take profits at support - ⚠️ Smaller position sizes - ⚠️ Tighter stops **Expected Behavior:** - Range-bound oscillations - Resistance holds repeatedly - Support bounces are weak - Eventually breaks lower (usually) --- ### 5. ⚪ CONSOLIDATION **Characteristics:** - No clear direction - Range compression - Very low ADX (< 15 often) - Price inside tight range - Neutral sentiment **What It Means:** - Market is coiling - Building energy for next move - Indecision between buyers/sellers - Calm before the storm **How to Trade:** - ✅ **WAIT for breakout direction** - ✅ Enter on high-volume breakout - ✅ Direction becomes clear - ❌ Don't trade inside the range - ❌ Avoid choppy scalping **Expected Behavior:** - Narrow range - Low volume - False breakouts possible - Explosive move when it breaks --- ### 6. 🟣 CHAOS (High Volatility) **Characteristics:** - Extreme volatility - No clear direction - Erratic price swings - ATR > 2x average - Unpredictable **What It Means:** - Market panic or euphoria - News-driven moves - Emotion dominates logic - Highest risk environment **How to Trade:** - ❌ **STAY OUT!** - ❌ No positions - ❌ Wait for stability - ✅ Protect existing positions - ✅ Reduce risk **Expected Behavior:** - Large intraday swings - Gaps up/down - Stop hunts - Whipsaws - Eventually calms down --- ## INDICATOR USAGE ### Visual Elements #### 1. Background Colors - **Light Green** = Bull Trending (go long) - **Light Red** = Bear Trending (go short) - **Light Teal** = Bull Ranging (buy dips) - **Light Orange** = Bear Ranging (sell rallies) - **Light Gray** = Consolidation (wait) - **Purple** = Chaos (stay out!) #### 2. Regime Labels - Appear when regime changes - Show new regime name - Positioned at highs (bullish) or lows (bearish) #### 3. Entry Signals - **Green "LONG"** labels = Buy here - **Red "SHORT"** labels = Sell here - Number shows confluence score (X/5 signals) - Hover for details (stop, target, RSI, etc.) #### 4. Exit Signals - **Orange "EXIT LONG"** = Close long position - **Orange "EXIT SHORT"** = Close short position - Shows exit reason in tooltip #### 5. Support/Resistance Lines - **Green line** = Dynamic support (buy zone) - **Red line** = Dynamic resistance (sell zone) - Adapts to regime automatically #### 6. Moving Averages - **Blue** = SMA 20 (short-term trend) - **Orange** = SMA 50 (medium-term trend) - **Purple** = SMA 200 (long-term trend) ### Information Tables #### Top Right Table (Main Info) Shows real-time market conditions: - **Current Regime** - What regime we're in - **Bias** - Long, Short, Breakout, or Stay Out - **ADX** - Trend strength (>25 = strong) - **Trend** - Strong, Moderate, or Weak - **Volatility** - High or Normal - **Vol Ratio** - Current vs average volatility - **RSI** - Momentum (>70 overbought, <30 oversold) - **vs SMA50/200** - Price position relative to MAs - **Support/Resistance** - Exact price levels - **Long/Short Signals** - Confluence scores (X/5) #### Bottom Right Table (Regime Guide) Quick reference for each regime: - What action to take - What strategy to use - Color-coded for quick identification --- ## ENTRY SIGNALS EXPLAINED ### Confluence Scoring System (5 Factors) Each entry signal is scored 0-5 based on how many factors align: #### For LONG Entries: 1. ✅ **Regime Alignment** - In Bull Trending or Bull Ranging 2. ✅ **RSI Pullback** - RSI between 35-50 (not overbought) 3. ✅ **Near Support** - Price within 2% of dynamic support 4. ✅ **MACD Turning Up** - Momentum shifting bullish 5. ✅ **Volume Confirmation** - Above average volume #### For SHORT Entries: 1. ✅ **Regime Alignment** - In Bear Trending or Bear Ranging 2. ✅ **RSI Rejection** - RSI between 50-65 (not oversold) 3. ✅ **Near Resistance** - Price within 2% of dynamic resistance 4. ✅ **MACD Turning Down** - Momentum shifting bearish 5. ✅ **Volume Confirmation** - Above average volume ### Confluence Requirements **Minimum Confluence** (default = 2): - 2/5 = Entry signal triggered - 3/5 = Good signal - 4/5 = Strong signal - 5/5 = Excellent signal (rare) **Higher confluence = Higher probability = Better trades** ### Specific Entry Patterns #### 1. Bull Trending Entry ``` Requirements: - Regime = Bull Trending - Price pulls back to EMA20 - Close above EMA20 (bounce) - Up candle (close > open) - RSI < 60 - Confluence ≥ 2 ``` #### 2. Bear Trending Entry ``` Requirements: - Regime = Bear Trending - Price rallies to EMA20 - Close below EMA20 (rejection) - Down candle (close < open) - RSI > 40 - Confluence ≥ 2 ``` #### 3. Bull Ranging Entry ``` Requirements: - Regime = Bull Ranging - RSI < 40 (oversold) - Price at or below support - Up candle (reversal) - Confluence ≥ 1 (more lenient) ``` #### 4. Bear Ranging Entry ``` Requirements: - Regime = Bear Ranging - RSI > 60 (overbought) - Price at or above resistance - Down candle (rejection) - Confluence ≥ 1 (more lenient) ``` #### 5. Consolidation Breakout ``` Requirements: - Regime = Consolidation - Price breaks above/below range - Volume > 1.5x average (explosive) - Strong directional candle ``` --- ## EXIT SIGNALS EXPLAINED ### Three Types of Exits #### 1. Regime Change Exits (Automatic) - **Long Exit**: Regime changes to Bear Trending or Chaos - **Short Exit**: Regime changes to Bull Trending or Chaos - **Reason**: Market character changed, strategy no longer valid #### 2. Support/Resistance Break Exits - **Long Exit**: Price breaks below support by 2% - **Short Exit**: Price breaks above resistance by 2% - **Reason**: Key level violated, trend may be reversing #### 3. Momentum Exits - **Long Exit**: RSI > 70 (overbought) AND down candle - **Short Exit**: RSI < 30 (oversold) AND up candle - **Reason**: Overextension, take profits ### Stop Loss & Take Profit **Stop Loss** (Automatic in strategy): - Placed at Entry - (ATR × 2) - Adapts to volatility - Protected from whipsaws - Typically 2-4% for stocks, 5-10% for crypto **Take Profit** (Automatic in strategy): - Placed at Entry + (Stop Distance × R:R Ratio) - Default 2.5:1 reward:risk - Example: $2 risk = $5 reward target - Allows winners to run --- ## TRADING EACH REGIME ### BULL TRENDING - Most Profitable Long Environment **Strategy: Buy Every Dip** **Entry Rules:** 1. Wait for pullback to EMA20 or SMA20 2. Look for RSI < 60 3. Enter when candle closes above MA 4. Confluence should be 2+ **Stop Loss:** - Below the recent swing low - Or 2 × ATR below entry **Take Profit:** - At previous high - Or 2.5:1 R:R minimum **Position Size:** - Can use full size (2% risk) - High win rate regime **Example Trade:** ``` Price: $100, pulls back to $98 (EMA20) Entry: $98.50 (close above EMA) Stop: $96.50 (2 ATR) Target: $103.50 (2.5:1) Risk: $2, Reward: $5 ``` --- ### BEAR TRENDING - Most Profitable Short Environment **Strategy: Sell Every Rally** **Entry Rules:** 1. Wait for bounce to EMA20 or SMA20 2. Look for RSI > 40 3. Enter when candle closes below MA 4. Confluence should be 2+ **Stop Loss:** - Above the recent swing high - Or 2 × ATR above entry **Take Profit:** - At previous low - Or 2.5:1 R:R minimum **Position Size:** - Can use full size (2% risk) - High win rate regime **Example Trade:** ``` Price: $100, rallies to $102 (EMA20) Entry: $101.50 (close below EMA) Stop: $103.50 (2 ATR) Target: $96.50 (2.5:1) Risk: $2, Reward: $5 ``` --- ### BULL RANGING - Buy Low, Sell High **Strategy: Range Trading (Long Bias)** **Entry Rules:** 1. Wait for price at support zone 2. Look for RSI < 40 3. Enter on reversal candle 4. Confluence should be 1-2+ **Stop Loss:** - Below support zone - Tighter than trending (1.5 ATR) **Take Profit:** - At resistance zone - Don't hold through resistance **Position Size:** - Reduce to 1-1.5% risk - Lower win rate than trending **Example Trade:** ``` Range: $95-$105 Entry: $96 (at support, RSI 35) Stop: $94 (below support) Target: $104 (at resistance) Risk: $2, Reward: $8 (4:1) ``` --- ### BEAR RANGING - Sell High, Buy Low **Strategy: Range Trading (Short Bias)** **Entry Rules:** 1. Wait for price at resistance zone 2. Look for RSI > 60 3. Enter on rejection candle 4. Confluence should be 1-2+ **Stop Loss:** - Above resistance zone - Tighter than trending (1.5 ATR) **Take Profit:** - At support zone - Don't hold through support **Position Size:** - Reduce to 1-1.5% risk - Lower win rate than trending **Example Trade:** ``` Range: $95-$105 Entry: $104 (at resistance, RSI 65) Stop: $106 (above resistance) Target: $96 (at support) Risk: $2, Reward: $8 (4:1) ``` --- ### CONSOLIDATION - Wait for Breakout **Strategy: Breakout Trading** **Entry Rules:** 1. Identify consolidation range 2. Wait for VOLUME SURGE (1.5x+ avg) 3. Enter on close outside range 4. Direction must be clear **Stop Loss:** - Opposite side of range - Or 2 ATR **Take Profit:** - Measure range height, project it - Example: $10 range = $10 move expected **Position Size:** - Reduce to 1% risk - 50% false breakout rate **Example Trade:** ``` Consolidation: $98-$102 (4-point range) Breakout: $102.50 (high volume) Entry: $103 Stop: $100 (back in range) Target: $107 (4-point range projected) Risk: $3, Reward: $4 ``` --- ### CHAOS - STAY OUT! **Strategy: Preservation** **What to Do:** - ❌ NO new positions - ✅ Close existing positions if near entry - ✅ Tighten stops on profitable trades - ✅ Reduce position sizes dramatically - ✅ Wait for regime to stabilize **Why It's Dangerous:** - Stop hunts are common - Whipsaws everywhere - News-driven volatility - No technical reliability - Even "perfect" setups fail **When Does It End:** - Volatility ratio drops < 1.5 - ADX starts rising (direction appears) - Price respects support/resistance again - Usually 1-5 days --- ## CONFLUENCE SYSTEM ### How It Works The system scores each potential entry on 5 factors. More factors aligning = higher probability. ### Confluence Requirements by Regime **Trending Regimes** (strictest): - Minimum 2/5 required - 3/5 = Good - 4-5/5 = Excellent **Ranging Regimes** (moderate): - Minimum 1-2/5 required - 2/5 = Good - 3+/5 = Excellent **Consolidation** (breakout only): - Volume is most critical - Direction confirmation - Less confluence needed ### Adjusting Minimum Confluence **If too few signals:** - Lower from 2 to 1 - More trades, lower quality **If too many false signals:** - Raise from 2 to 3 - Fewer trades, higher quality **Recommendation:** - Start at 2 - Adjust based on win rate - Aim for 55-65% win rate --- ## STRATEGY BACKTESTING ### Loading the Strategy 1. Copy `market_regime_strategy.pine` 2. Open Pine Editor in TradingView 3. Paste and "Add to Chart" 4. Strategy Tester tab opens at bottom ### Initial Settings ``` Risk Per Trade: 2% ATR Stop Multiplier: 2.0 Reward:Risk Ratio: 2.5 Trade Longs: ✓ Trade Shorts: ✓ Trade Trending Only: ✗ (test both) Avoid Chaos: ✓ Minimum Confluence: 2 ``` ### What to Look For **Good Results:** - Win Rate: 50-60% - Profit Factor: 1.8-2.5 - Net Profit: Positive - Max Drawdown: <20% - Consistent equity curve **Warning Signs:** - Win Rate: <45% (too many losses) - Profit Factor: <1.5 (barely profitable) - Max Drawdown: >30% (too risky) - Erratic equity curve (unstable) ### Testing Different Regimes **Test 1: Trending Only** ``` Trade Trending Only: ✓ Result: Higher win rate, fewer trades ``` **Test 2: All Regimes** ``` Trade Trending Only: ✗ Result: More trades, potentially lower win rate ``` **Test 3: Long Only** ``` Trade Longs: ✓ Trade Shorts: ✗ Result: Works in bull markets ``` **Test 4: Short Only** ``` Trade Longs: ✗ Trade Shorts: ✓ Result: Works in bear markets ``` --- ## SETTINGS OPTIMIZATION ### Key Parameters to Adjust #### 1. Risk Per Trade (Most Important) - **0.5%** = Very conservative - **1.0%** = Conservative (recommended for beginners) - **2.0%** = Moderate (recommended) - **3.0%** = Aggressive - **5.0%** = Very aggressive (not recommended) **Impact:** Higher risk = higher returns BUT bigger drawdowns #### 2. Reward:Risk Ratio - **2:1** = More wins needed, hit target faster - **2.5:1** = Balanced (recommended) - **3:1** = Fewer wins needed, hold longer - **4:1** = Very patient, best in trending **Impact:** Higher R:R = can have lower win rate #### 3. Minimum Confluence - **1** = More signals, lower quality - **2** = Balanced (recommended) - **3** = Fewer signals, higher quality - **4** = Very selective - **5** = Almost never triggers **Impact:** Higher = fewer but better trades #### 4. ADX Thresholds - **Trending: 20-30** (default 25) - Lower = detect trends earlier - Higher = only strong trends - **Ranging: 15-25** (default 20) - Lower = identify ranging earlier - Higher = only weak trends #### 5. Trend Period (SMA) - **20-50** = Short-term trends - **50** = Medium-term (default, recommended) - **100-200** = Long-term trends **Impact:** Longer period = slower regime changes, more stable ### Optimization Workflow **Step 1: Baseline** - Use all default settings - Test on 3+ years - Record: Win Rate, PF, Drawdown **Step 2: Risk Optimization** - Test 1%, 1.5%, 2%, 2.5% - Find best risk-adjusted return - Balance profit vs drawdown **Step 3: R:R Optimization** - Test 2:1, 2.5:1, 3:1 - Check which maximizes profit factor - Consider holding time **Step 4: Confluence Optimization** - Test 1, 2, 3 - Find sweet spot for win rate - Aim for 55-65% win rate **Step 5: Regime Filter** - Test with/without trend filter - Test with/without chaos filter - Find what works for your asset --- ## REAL TRADING EXAMPLES ### Example 1: Bull Trending - SPY **Setup:** - Regime: BULL TRENDING - Price pulls back from $450 to $445 - EMA20 at $444 - RSI drops to 45 - Confluence: 4/5 **Entry:** - Price closes at $445.50 (above EMA20) - LONG signal appears - Enter at $445.50 **Risk Management:** - Stop: $443 (2 ATR = $2.50) - Target: $451.75 (2.5:1 = $6.25) - Risk: $2.50 per share - Position: 80 shares (2% of $10k = $200 risk) **Outcome:** - Price rallies to $452 in 3 days - Target hit - Profit: $6.50 × 80 = $520 - Return: 2.6 × risk (excellent) --- ### Example 2: Bear Ranging - AAPL **Setup:** - Regime: BEAR RANGING - Range: $165-$175 - Price rallies to $174 - Resistance at $175 - RSI at 68 - Confluence: 3/5 **Entry:** - Rejection candle at $174 - SHORT signal appears - Enter at $173.50 **Risk Management:** - Stop: $176 (above resistance) - Target: $166 (support) - Risk: $2.50 - Position: 80 shares **Outcome:** - Price drops to $167 in 2 days - Target hit - Profit: $6.50 × 80 = $520 - Return: 2.6 × risk --- ### Example 3: Consolidation Breakout - BTC **Setup:** - Regime: CONSOLIDATION - Range: $28,000 - $30,000 - Compressed for 2 weeks - Volume declining **Breakout:** - Price breaks $30,000 - Volume surges 200% - Close at $30,500 - LONG signal **Entry:** - Enter at $30,500 **Risk Management:** - Stop: $29,500 (back in range) - Target: $32,000 (range height = $2k) - Risk: $1,000 - Position: 0.2 BTC ($200 risk on $10k) **Outcome:** - Price runs to $33,000 - Target exceeded - Profit: $2,500 × 0.2 = $500 - Return: 2.5 × risk --- ### Example 4: Avoiding Chaos - Tesla **Setup:** - Regime: BULL TRENDING - LONG position from $240 - Elon tweets something crazy - Regime changes to CHAOS **Action:** - EXIT signal appears - Close position immediately - Current price: $242 (small profit) **Outcome:** - Next 3 days: wild swings - High $255, Low $230 - By staying out, avoided: - Potential stop out - Whipsaw losses - Stress **Result:** - Small profit preserved - Capital protected - Re-enter when regime stabilizes --- ## ALERTS SETUP ### Available Alerts 1. **Bull Trending Regime** - Market goes bullish 2. **Bear Trending Regime** - Market goes bearish 3. **Chaos Regime** - High volatility, stay out 4. **Long Entry Signal** - Buy opportunity 5. **Short Entry Signal** - Sell opportunity 6. **Long Exit Signal** - Close long 7. **Short Exit Signal** - Close short ### How to Set Up 1. Click **⏰ (Alert)** icon in TradingView 2. Select **Condition**: Choose indicator + alert type 3. **Options**: Popup, Email, Webhook, etc. 4. **Message**: Customize notification 5. Click **Create** ### Recommended Alert Strategy **For Active Traders:** - Long Entry Signal - Short Entry Signal - Long Exit Signal - Short Exit Signal **For Position Traders:** - Bull Trending Regime (enter longs) - Bear Trending Regime (enter shorts) - Chaos Regime (exit all) **For Conservative:** - Only regime change alerts - Manually review entries - More selective --- ## TIPS FOR SUCCESS ### 1. Start Small - Paper trade first - Then 0.5% risk - Build to 1-2% over time ### 2. Follow the Regime - Don't fight it - Adapt your style - Different tactics for each ### 3. Trust the Confluence - 4-5/5 = Best trades - 2-3/5 = Good trades - 1/5 = Skip unless desperate ### 4. Respect Exits - Don't hope and hold - Cut losses quickly - Take profits at targets ### 5. Avoid Chaos - Seriously, just stay out - Protect your capital - Wait for clarity ### 6. Keep a Journal - Record every trade - Note regime and confluence - Review weekly - Learn patterns ### 7. Backtest Thoroughly - 3+ years minimum - Multiple market conditions - Different assets - Walk-forward test ### 8. Be Patient - Best setups are rare - 1-3 trades per week is normal - Quality over quantity - Compound over time --- ## COMMON QUESTIONS **Q: How many trades per month should I expect?** A: Depends on timeframe and settings. Daily chart: 5-15 trades/month. 4H chart: 15-30 trades/month. **Q: What's a good win rate?** A: 55-65% is excellent. 50-55% is good. Below 50% needs adjustment. **Q: Should I trade all regimes?** A: Beginners: Only trending. Intermediate: Trending + ranging. Advanced: All except chaos. **Q: Can I use this on any timeframe?** A: Best on Daily and 4H. Works on 1H with more noise. Not recommended <1H. **Q: What if I'm in a trade and regime changes?** A: Exit immediately (if using indicator) or let strategy handle it automatically. **Q: How do I know if I'm over-optimizing?** A: If results are perfect on one period but fail on another. Use walk-forward testing. **Q: Should I always take 5/5 confluence trades?** A: Yes, but they're rare (1-2/month). Don't wait only for these. **Q: Can I combine this with other indicators?** A: Yes, but keep it simple. RSI, MACD already included. Maybe add volume profile. **Q: What assets work best?** A: Liquid stocks, major crypto, futures. Avoid forex spot (use futures), penny stocks. **Q: How long to hold positions?** A: Trending: Days to weeks. Ranging: Hours to days. Breakout: Days. Let the regime guide you. --- ## FINAL THOUGHTS This system gives you: - ✅ Clear market context (regime) - ✅ High-probability entries (confluence) - ✅ Defined exits (automatic signals) - ✅ Adaptable tactics (regime-specific) - ✅ Backtestable results (strategy version) **Success requires:** - 📚 Understanding each regime - 🎯 Following the signals - 💪 Discipline to wait - 🧠 Emotional control - 📊 Proper risk management **Start your journey:** 1. Load the indicator 2. Watch for 1 week (no trading) 3. Identify regime patterns 4. Paper trade for 1 month 5. Go live with small size 6. Scale up as you gain confidence **Remember:** The market will always be here. There's no rush. Master one regime at a time, and you'll be profitable in all conditions! Good luck! 🚀
Indikator Pine Script®
oleh frankieho_92
DZDZ – Pivot Demand Zones + Trend Filter + Breadth Override + SL is a structured accumulation indicator built to identify high-probability demand areas after valid pullbacks. The script creates **Demand Zones (DZ)** by pairing **pivot troughs (local lows)** with later **pivot peaks (local highs)**, requiring a minimum **ATR (Average True Range)** gap to confirm real price displacement. Zones are drawn only when market structure confirms strength through a **trend filter** (a required number of higher highs over a recent window) or a **breadth override**, which activates after unusually large expansion candles measured as a percentage move from the prior close. In addition to pivots, the script detects **coiling price action**—tight trading ranges contained within an ATR band—and treats these as alternative demand bases. Entries require price to penetrate a defined depth into the zone, preventing shallow reactions. After the first valid entry, a **DCA (Dollar-Cost Averaging)** system adds buys every 10 bars while trend or breadth conditions persist. A **ratcheting SL (Stop-Loss)** tightens upward only, using demand structure or ATR when zones are unavailable. The focus is disciplined, volatility-aware accumulation aligned with structure.
Indikator Pine Script®
oleh Gechwindigkeitsbegrendsung
Momentum Burst Pullback System v66* Detects **momentum “bursts”** using: * **Keltner breakout** (high above upper band for long, low below lower band for short), and/or * **MACD histogram extreme** (highest/lowest in a lookback window, with correct sign). * Optional **burst-zone extension** keeps the burst “active” for N extra bars after the burst. * Marks bursts with **K** (Keltner) and **M** (MACD) labels: * Core burst labels use one color, extension labels use a different color. * Tracks the most recent burst as the **dominant side** (long or short), and stores burst “leg” anchors (high/low context). * Adds **structure-based invalidation**: * On a new **core burst**, it locks the most recent **confirmed swing** level (pivot): * Long: locks the last confirmed **swing low**. * Short: locks the last confirmed **swing high**. * After the burst, if price **breaks that locked level**, the burst regime is **cancelled** (and any pending setup on that side is dropped). * Finds **pullback setups** after a dominant burst (and not inside the active burst zone), within min/max bars: * Long pullback requires a sequence of **lower highs** and price still below the burst high. * Short pullback requires **higher lows** and price still above the burst low. * Optional background shading highlights pullback bars. * On pullback bars, plots **static TP/SL crosses** using ATR: * Anchor is the pullback bar’s high (long) or low (short). * TP/SL are ± ATR * multiple. * TP plots are visually classified (bright vs faded) based on whether TP would exceed the prior burst extreme. * Maintains a **state-machine entry + trailing stop**: * Sets a “waiting” trigger on pullback. * Enters when price breaks the trigger (high break for long, low break for short). * Trails a stop using **R-multiples**, with different behavior pre-break-even, post-break-even, and near-TP. * Optionally draws the trailing stop as horizontal line segments. * Optionally shows a **last-bar label** with the most recent pullback’s TP and SL values.
Indikator Pine Script®
oleh Flatlands1900
MP SESSIONS, DST, OTTMP SESSIONS, DST, OTT – What this indicator does This script is a multi-session market timing tool that: Draws full trading sessions on the chart (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE) Automatically adjusts for Daylight Saving Time (DST) for Sydney, London, and New York Shows a live info table with session times, DST status, and whether each session is currently open or closed Adds optional custom “OTT” vertical lines at user-defined intraday times (for your own models, killzones, or time blocks) Main Features (high level) 1. Market mode & time zone handling Market Mode: Forex Stock User Custom (you type your own session ranges) TFlab suggestion (predefined “optimized” session times) Time Zone Mode: UTC Session Local Time (local exchange time: Sydney, Tokyo, London, New York etc.) Your Time Zone (converts to the user-selected TZ, e.g. UTC-4:00) Handles separate time zones for: Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE Has logic to recalculate session start/end depending on DST and the chosen mode. 2. Daylight Saving Time (DST) engine The function DST_Detector: Calculates when DST starts and ends for: Australia/Sydney Europe/London America/New_York Detects the correct Sunday (2nd, 4th, etc.) for start/end using day-of-week and week counts. Returns 'Active' or 'Inactive' for each region. These values are then used to shift the sessions (e.g. New York 13:00–21:00 vs 12:00–20:00 in UTC). The script can also draw vertical lines on the chart when DST starts/ends and label them: “Sydney DST Started / Ended” “London DST Started / Ended” “New York DST Started / Ended” 3. Session timing & sessions on the chart The function Market_TimeZone_Calculator: Based on Market Mode + Time Zone Mode + DST state, it returns: Time ranges for: Sydney, Tokyo, Shanghai, Asia (combined), Europe, London, New York, NYSE These ranges are in "HHMM-HHMM" format. Then the script: Converts these to time() conditions using the proper time zone Creates boolean series like On_sesAsia, On_sesEurope, On_sesNewYork, etc., which are 1 when the session is open and 0 when closed. 4. Session high/low boxes & labels The function LowHighSessionDetector: Tracks high and low of each session while it’s active. When a new session starts: Resets and starts recording the session high/low. While session is active: Updates High with the max of current bar high and previous session high. Updates Low with the min of current bar low and previous session low. When the session is "on": Draws a box from session low to high (box.new) and extends it to the right as long as the session continues. Places a label with session name (Asia, London, New York, etc.) near the high: Style depends on the session (down/right/left). You have visibility toggles per session: Asia Session, Sydney Session, Tokyo Session, Shanghai Session, Europe Session, London Session, New York Session, NYSE (for TFlab mode). So you visually see: A shaded box for each session The full H/L range for that session A text label with the session name. 5. Info table The indicator builds a table in a corner of the chart showing: Header: “FOREX Session”, “Stock Market Trading Hours”, “User Custom Session”, or “TFlab suggestion” depending on mode. Columns: Session name (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE) DST status for that region (“Active 🌞 / Inactive 🍂 / Not Observed”) Session start time Session end time Current status (“Open / Closed”, with green/red background) The function SplitFunction: Parses the "HHMM-HHMM" strings for each session. Converts them into: Either raw times (if viewing in UTC/session local) Or converted times in Your Time Zone using timestamp and hour/ minute with YourTZ. Returns formatted Start and End strings like 9:30, 13:00, etc. So the table is effectively a live session schedule that: Auto-adjusts to DST Can show times in your own time zone Shows which session is open right now. 6. OTT vertical lines (custom intraday markers) At the bottom, there is an OTT section which lets you draw up to three sets of vertical lines at specific times: Each OTT block has: Enable toggle (Enable OTT 1/2/3) Start hour & minute End hour & minute Color Global OTT settings: Line style: Solid / Dashed / Dotted Line width Toggle: “Show OTT Labels?” Logic: is_ott_time() checks if current bar’s hour and minute match the OTT input time. draw_ott(): When the bar time matches, draws a vertical line through the candle from low to high (extend.both). Optionally adds a label above the bar, like "OTT1 Start", "OTT1 End", etc. Use cases: Marking open/close of your trading session Defining killzones, news times, or custom model windows Visual anchors for your intraday routine (NY open, 10 AM candle, etc.)
Indikator Pine Script®
oleh markoparkhomenko
Rainbow MA Width█ OVERVIEW Rainbow MA Width is a companion indicator for Rainbow MA Cloud. It displays ribbon width as a normalized Z-Score, allowing traders to visualize trend momentum expansion and contraction relative to recent history. █ CONCEPTS Z-Score Normalization: Rather than displaying raw width values (which vary by asset and timeframe), this indicator normalizes the ribbon width using Z-Score calculation: Z-Score = (Current Width - Average Width) / Standard Deviation Z-Score Interpretation: • 0 = Average width (mean) • +1 to +2 = Expanding (above average, strong trend) • -1 to -2 = Contracting (below average, weakening trend) • Beyond ±2 = Extreme (statistical outlier, potential reversal) Width Calculation Modes: • Outer — Distance between fastest and slowest MA: |MA1 - MA8| • Average Gap — Mean of all adjacent MA gaps • Total Gap — Sum of all adjacent MA gaps █ FEATURES 1 — Width Mode Selection Three methods to calculate ribbon width. "Outer" recommended for aligned trends. 2 — Z-Score Period Configurable lookback for mean and standard deviation. Default 20 bars; increase for smoother, less reactive readings. 3 — Zone Fill Coloring Cyan fill when expanding (Z > 0). Orange fill when contracting (Z < 0). Yellow fill for extreme values (|Z| > 2) as warning. 4 — Alignment Background Green background during bullish alignment. Red background during bearish alignment. Synced with Rainbow MA Cloud for consistency. 5 — Reference Lines Horizontal lines at 0 (mean), ±1σ, and ±2σ levels. Provides clear visual boundaries for interpretation. 6 — Raw Width Display Optional secondary line showing original width percentage. Useful for comparing normalized vs absolute values. █ HOW TO USE Trend Confirmation: • Z-Score rising above 0 confirms trend acceleration • Z-Score staying above +1 indicates sustained strong momentum • Use alongside alignment background for confluence Reversal Warning: • Z-Score exceeding +2 suggests overextension (yellow warning zone) • Z-Score dropping below -2 indicates extreme contraction • Extreme readings often precede trend reversals or consolidation Entry Timing: • Enter trends when Z-Score crosses above 0 (expansion beginning) • Avoid entries when Z-Score is at extreme highs (potential exhaustion) • Consider exits when Z-Score peaks and begins declining █ LIMITATIONS • Z-Score is relative to lookback period; different periods give different readings • Extreme zones (±2) are statistical guides, not guarantees • Best used in conjunction with Rainbow MA Cloud for full context █ ALERTS Four built-in alert conditions: • Z-Score crosses above/below zero • Z-Score enters extreme high/low zones (±2)
Indikator Pine Script®
oleh viva_lee
MP SESSIONS, DST, OTTHere’s a clear description you can use for this script (for yourself or as a TradingView “Indicator Description”): --- ### MP SESSIONS, DST, OTT – What this indicator does This script is a **multi-session market timing tool** that: 1. **Draws full trading sessions on the chart** (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE) 2. **Automatically adjusts for Daylight Saving Time (DST)** for Sydney, London, and New York 3. **Shows a live info table** with session times, DST status, and whether each session is currently open or closed 4. **Adds optional custom “OTT” vertical lines** at user-defined intraday times (for your own models, killzones, or time blocks) --- ### Main Features (high level) #### 1. Market mode & time zone handling * **Market Mode**: * `Forex` * `Stock` * `User Custom` (you type your own session ranges) * `TFlab suggestion` (predefined “optimized” session times) * **Time Zone Mode**: * `UTC` * `Session Local Time` (local exchange time: Sydney, Tokyo, London, New York etc.) * `Your Time Zone` (converts to the user-selected TZ, e.g. `UTC-4:00`) * Handles separate time zones for: * Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE * Has logic to **recalculate session start/end depending on DST** and the chosen mode. --- #### 2. Daylight Saving Time (DST) engine The function `DST_Detector`: * Calculates when DST **starts and ends** for: * `Australia/Sydney` * `Europe/London` * `America/New_York` * Detects the correct Sunday (2nd, 4th, etc.) for start/end using day-of-week and week counts. * Returns `'Active'` or `'Inactive'` for each region. * These values are then used to **shift the sessions** (e.g. New York 13:00–21:00 vs 12:00–20:00 in UTC). The script can also **draw vertical lines** on the chart when DST starts/ends and label them: * “Sydney DST Started / Ended” * “London DST Started / Ended” * “New York DST Started / Ended” --- #### 3. Session timing & sessions on the chart The function `Market_TimeZone_Calculator`: * Based on **Market Mode** + **Time Zone Mode** + **DST state**, it returns: * Time ranges for: Sydney, Tokyo, Shanghai, Asia (combined), Europe, London, New York, NYSE * These ranges are in `"HHMM-HHMM"` format. Then the script: * Converts these to `time()` conditions using the proper time zone * Creates boolean series like `On_sesAsia`, `On_sesEurope`, `On_sesNewYork`, etc., which are **1 when the session is open and 0 when closed**. --- #### 4. Session high/low boxes & labels The function `LowHighSessionDetector`: * Tracks **high and low of each session** while it’s active. * When a new session starts: * Resets and starts recording the session high/low. * While session is active: * Updates `High` with the max of current bar high and previous session high. * Updates `Low` with the min of current bar low and previous session low. * When the session is "on": * Draws a **box** from session low to high (`box.new`) and extends it to the right as long as the session continues. * Places a **label with session name** (Asia, London, New York, etc.) near the high: * Style depends on the session (down/right/left). You have visibility toggles per session: * `Asia Session`, `Sydney Session`, `Tokyo Session`, `Shanghai Session`, `Europe Session`, `London Session`, `New York Session`, `NYSE` (for TFlab mode). So you visually see: * A shaded box for each session * The full H/L range for that session * A text label with the session name. --- #### 5. Info table The indicator builds a **table in a corner of the chart** showing: * Header: * “FOREX Session”, “Stock Market Trading Hours”, “User Custom Session”, or “TFlab suggestion” depending on mode. * Columns: 1. Session name (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE) 2. DST status for that region (“Active 🌞 / Inactive 🍂 / Not Observed”) 3. Session **start time** 4. Session **end time** 5. Current **status** (“Open / Closed”, with green/red background) The function `SplitFunction`: * Parses the `"HHMM-HHMM"` strings for each session. * Converts them into: * Either raw times (if viewing in UTC/session local) * Or converted times in **Your Time Zone** using `timestamp` and `hour/ minute` with `YourTZ`. * Returns formatted `Start` and `End` strings like `9:30`, `13:00`, etc. So the table is effectively a **live session schedule** that: * Auto-adjusts to DST * Can show times in your own time zone * Shows which session is open right now. --- #### 6. OTT vertical lines (custom intraday markers) At the bottom, there is an **OTT section** which lets you draw up to **three sets of vertical lines** at specific times: * Each OTT block has: * Enable toggle (`Enable OTT 1/2/3`) * Start hour & minute * End hour & minute * Color * Global OTT settings: * Line style: `Solid / Dashed / Dotted` * Line width * Toggle: “Show OTT Labels?” Logic: * `is_ott_time()` checks if current bar’s `hour` and `minute` match the OTT input time. * `draw_ott()`: * When the bar time matches, draws a **vertical line** through the candle from low to high (`extend.both`). * Optionally adds a label above the bar, like `"OTT1 Start"`, `"OTT1 End"`, etc. Use cases: * Marking **open/close of your trading session** * Defining **killzones**, news times, or custom model windows * Visual anchors for your intraday routine (NY open, 10 AM candle, etc.) --- ### TL;DR This indicator is a **session toolkit + DST engine + time markers**: * **Visually paints the main global sessions** with boxes and labels. * **Handles DST automatically** for Sydney, London, New York. * **Shows a live table** with session times, DST status, and open/closed status in your time zone. * **Adds up to three configurable vertical time markers (OTT)** for custom session windows or key times. If you want, I can also write a **short version** (2–3 sentences) for the TradingView “Description” field.
Indikator Pine Script®
oleh markoparkhomenko
Colby Cheese VWAP Setup [v2.0]🔧 Core Refactors • Imbalance function fixed: • Removed invalid usage. • Now uses for past bar references. • Bias checks are handled outside the function with proper series indexing. • Bias alignment: • Added and so CHoCH signals only fire when price change agrees with EMA bias. • Swing reset: • After a valid CHoCH, and reset to so stale levels don’t keep firing. • Line/label management: • CHoCH lines and labels now reuse persistent IDs (, ) instead of spamming new objects every trigger. ✨ New Features • Anticipation mode: • Blue “Anticipate” lines/labels drawn when delta + bias align before CHoCH confirmation. • Helps you see potential setups earlier. • Entry zone lines: • Solid green/red lines drawn at entry levels when is enabled. • Separate from FRVP dashed zones. • Stop‑loss lines: • Orange dotted lines drawn opposite the entry zone when is enabled. • Gives a visual risk marker. 🎨 Visual Consistency • Candle coloring simplified: white candles only when CHoCH triggers. • FRVP zones remain dashed lines with “Enter” labels. • Anticipation zones are blue solid lines. • Entry zones are solid green/red. • Stop‑loss lines are orange dotted.
Indikator Pine Script®
oleh dscottmuller
Index Construction Tool🙏🏻 The most natural mathematical way to construct an index || portfolio, based on contraharmonic mean || contraharmonic weighting. If you currently traded assets do not satisfy you, why not make your own ones? Contraharmonic mean is literally a weighted mean where each value is weighted by itself. ... Now let me explain to you why contraharmonic weighting is really so fundamental in two ways: observation how the industry (prolly unknowably) converged to this method, and the real mathematical explanation why things are this way. How it works in the industry. In indexes like TVC:SPX or TVC:DJI the individual components (stocks) are weighted by market capitalization. This market cap is made of two components: number of shares outstanding and the actual price of the stock. While the number of shares holds the same over really long periods of time and changes rarely by corporate actions , the prices change all the time, so market cap is in fact almost purely based on prices itself. So when they weight index legs by market cap, it really means they weight it by stock prices. That’s the observation: even tho I never dem saying they do contraharmonic weighting, that’s what happens in reality. Natural explanation Now the main part: how the universe works. If you build a logical sequence of how information ‘gradually’ combines, you have this: Suppose you have the one last datapoint of each of 4 different assets; The next logical step is to combine these datapoints somehow in pairs. Pairs are created only as ratios , this reveals relationships between components, this is the only step where these fundamental operations are meaningful, they lose meaning with 3+ components. This way we will have 16 pairs: 4 of them would be 1s, 6 real ratios, and 6 more inverted ratios of these; Then the next logical step is to combine all the pairs (not the initial single assets) all together. Naturally this is done via matrices, by constructing a 4x4 design matrix where each cell will be one of these 16 pairs. That matrix will have ones in the main diagonal (because these would be smth like ES/ES, NQ/NQ etc). Other cells will be actual ratios, like ES/NQ, RTY/YM etc; Then the native way to compress and summarize all this structure is to do eigendecomposition . The only eigenvector that would be meaningful in this case is the principal eigenvector, and its loadings would be what we were hunting for. We can multiply each asset datapoint by corresponding loading, sum them up and have one single index value, what we were aiming for; Now the main catch: turns out using these principal eigenvector loadings mathematically is Exactly the same as simply calculating contraharmonic weights of those 4 initial assets. We’re done here. For the sceptics, no other way of constructing the design matrix other than with ratios would result in another type of a defined mean. Filling that design matrix with ratios Is the only way to obtain a meaningful defined mean, that would also work with negative numbers. I’m skipping a couple of details there tbh, but they don’t really matter (we don’t need log-space, and anyways the idea holds even then). But the core idea is this: only contraharmonic mean emerges there, no other mean ever does. Finally, how to use the thing: Good news we don't use contraharmonic mean itself because we need an internals of it: actual weights of components that make this contraharmonic mean, (so we can follow it with our position sizes). This actually allows us to also use these weights but not for addition, but for subtraction. So, the script has 2 modes (examples would follow): Addition: the main one, allows you to make indexes, portfolios, baskets, groups, whatever you call it. The script will simply sum the weighted legs; Subtraction: allows you to make spreads, residual spreads etc. Important: the script will subtract all the symbols From the first one. So if the first we have 3 symbols: YM, ES, RTY, the script will do YM - ES - RTY, weights would be applied to each. At the top tight corner of the script you will see a lil table with symbols and corresponding weights you wanna trade: these are ‘already’ adjusted for point value of each leg, you don’t need to do anything, only scale them all together to meet your risk profile. Symbols have to be added the way the default ones are added, one line : one symbol. Pls explore the script’s Style setting: You can pick a visualization method you like ! including overlays on the main chart pane ! Script also outputs inferred volume delta, inferred volume and inferred tick count calculated with the same method. You can use them in further calculations. ... Examples of how you can use it ^^ Purple dotted line: overlay from ICT script, turned on in Style settings, the contraharmonic mean itself calculated from the same assets that are on the chart: CME_MINI:RTY1! , CME_MINI:ES1! , CME_MINI:NQ1! , CBOT_MINI:YM1! ^^ precious metals residual spread ( COMEX:GC1! COMEX:SI1! NYMEX:PL1! ) ^^ CBOT:ZC1! vs CBOT:ZW1! grain spread ^^ BDI (Bid Dope Index), constructed from: NYSE:MO , NYSE:TPB , NYSE:DGX , NASDAQ:JAZZ , NYSE:IIPR , NASDAQ:CRON , OTC:CURLF , OTC:TCNNF ^^ NYMEX:CL1! & ICEEUR:BRN1! basket ^^ resulting index price, inferred volume delta, inferred volume and inferred tick count of CME_MINI:NQ1! vs CME_MINI:ES1! spread ... Synthetic assets is the whole new Universe you can jump into and never look back, if this is your way ... ∞
Indikator Pine Script®
oleh gorx1