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Penunjuk Pine Script®
oleh Karman1320
Flux-Tensor Singularity [FTS]Flux-Tensor Singularity - Multi-Factor Market Pressure Indicator The Flux-Tensor Singularity (FTS) is an advanced multi-factor oscillator that combines volume analysis, momentum tracking, and volatility-weighted normalization to identify critical market inflection points. Unlike traditional single-factor indicators, FTS synthesizes price velocity, volume mass, and volatility context into a unified framework that adapts to changing market regimes. This indicator identifies extreme market conditions (termed "singularities") where multiple confirming factors converge, then uses a sophisticated scoring system to determine directional bias. It is designed for traders seeking high-probability setups with built-in confluence requirements. THEORETICAL FOUNDATION The indicator is built on the premise that market time is not constant - different market conditions contain varying levels of information density. A 1-minute bar during a major news event contains far more actionable information than a 1-minute bar during overnight low-volume trading. Traditional indicators treat all bars equally; FTS does not. The theoretical framework draws conceptual parallels to physics (purely as a mental model, not literal physics): Volume as Mass: Large volume represents significant market participation and "weight" behind price moves. Just as massive objects have stronger gravitational effects, high-volume moves carry more significance. Price Change as Velocity: The rate of price movement through price space represents momentum and directional force. Volatility as Time Dilation: When volatility is high relative to its historical norm, the "information density" of each bar increases. The indicator weights these periods more heavily, similar to how time dilates near massive objects in physics. This is a pedagogical metaphor to create a coherent mental model - the underlying mathematics are standard financial calculations combined in a novel way. MATHEMATICAL FRAMEWORK The indicator calculates a composite singularity value through four distinct steps: Step 1: Raw Singularity Calculation S_raw = (ΔP × V) × γ² Where: ΔP = Price Velocity = close - close V = Volume Mass = log(volume + 1) γ² = Time Dilation Factor = (ATR_local / ATR_global)² Volume Transformation: Volume is log-transformed because raw volume can have extreme outliers (10x-100x normal). The logarithm compresses these spikes while preserving their significance. This is standard practice in volume analysis. Volatility Weighting: The ratio of short-term ATR (5 periods) to long-term ATR (user-defined lookback) is squared to create a volatility amplification factor. When local volatility exceeds global volatility, this ratio increases, amplifying the raw singularity value. This makes the indicator regime-aware. Step 2: Normalization The raw singularity values are normalized to a 0-100 scale using a stochastic-style calculation: S_normalized = ((S_raw - S_min) / (S_max - S_min)) × 100 Where S_min and S_max are the lowest and highest raw singularity values over the lookback period. Step 3: Epsilon Compression S_compressed = 50 + ((S_normalized - 50) / ε) This is the critical innovation that makes the sensitivity control functional. By applying compression AFTER normalization, the epsilon parameter actually affects the final output: ε < 1.0: Expands range (more signals) ε = 1.0: No change (default) ε > 1.0: Compresses toward 50 (fewer, higher-quality signals) For example, with ε = 2.0, a normalized value of 90 becomes 70, making threshold breaches rarer and more significant. Step 4: Smoothing S_final = EMA(S_compressed, smoothing_period) An exponential moving average removes high-frequency noise while preserving trend. SIGNAL GENERATION LOGIC When the tensor crosses above the upper threshold (default 90) or below the lower threshold (default 10), an extreme event is detected. However, the indicator does NOT immediately generate a buy or sell signal. Instead, it analyzes market context through a multi-factor scoring system: Scoring Components: Price Structure (+1 point): Current bar bullish/bearish Momentum (+1 point): Price higher/lower than N bars ago Trend Context (+2 points): Fast EMA above/below slow EMA (weighted heavier) Acceleration (+1 point): Rate of change increasing/decreasing Volume Multiplier (×1.5): If volume > average, multiply score The highest score (bullish vs bearish) determines signal direction. This prevents the common indicator failure mode of "overbought can stay overbought" by requiring directional confirmation. Signal Conditions: A BUY signal requires: Extreme event detection (tensor crosses threshold) Bullish score > Bearish score Price confirmation: Bullish candle (optional, user-controlled) Volume confirmation: Volume > average (optional, user-controlled) Momentum confirmation: Positive momentum (optional, user-controlled) A SELL signal requires the inverse conditions. INPUTS EXPLAINED - Core Parameters: Global Horizon (Context): Default 20. Lookback period for normalization and volatility comparison. Higher values = smoother but less responsive. Lower values = more signals but potentially more noise. Tensor Smoothing: Default 3. EMA period applied to final output. Removes "quantum foam" (high-frequency noise). Range 1-20. Singularity Threshold: Default 90. Values above this (or below 100-threshold) trigger extreme event detection. Higher = rarer, stronger signals. Signal Sensitivity (Epsilon): Default 1.0. Post-normalization compression factor. This is the key innovation - it actually works because it's applied AFTER normalization. Range 0.1-5.0. Signal Interpreter Toggles: Require Price Confirmation: Default ON. Only generates buy signals on bullish candles, sell signals on bearish candles. Reduces false signals but may delay entry. Require Volume Confirmation: Default ON. Only signals when volume > average. Critical for stocks/crypto, less important for forex (unreliable volume data). Use Momentum Filter: Default ON. Requires momentum agreement with signal direction. Prevents counter-trend signals. Momentum Lookback: Default 5. Number of bars for momentum calculation. Shorter = more responsive, longer = trend-following bias. Visual Controls: Colors: Customizable colors for bullish flux, bearish flux, background, and event horizon. Visual Transparency: Default 85. Master control for all visual elements (accretion disk, field lines, particles, etc.). Range 50-99. Signals and dashboard have separate controls. Visibility Toggles: Individual on/off switches for: Gravitational field lines (trend EMAs) Field reversals (trend crossovers) Accretion disk (background gradient) Singularity diamonds (neutral extreme events) Energy particles (volume bursts) Event horizon flash (extreme event background) Signal background flash Signal Size: Tiny/Small/Normal triangle size Signal Offsets: Separate controls for buy and sell signal vertical positioning (percentage of price) Dashboard Settings: Show Dashboard: Toggle on/off Position: 9 placement options (all corners, centers, middles) Text Size: Tiny/Small/Normal/Large Background Transparency: 0-50, separate from visual transparency VISUAL ELEMENTS EXPLAINED 1. Accretion Disk (Background Gradient): A three-layer gradient background that intensifies as the tensor approaches extremes. The outer disk appears at any non-neutral reading, the inner disk activates above 70 or below 30, and the core layer appears above 85 or below 15. Color indicates direction (cyan = bullish, red = bearish). This provides instant visual feedback on market pressure intensity. 2. Gravitational Field Lines (EMAs): Two trend-following EMAs (10 and 30 period) visualized as colored lines. These represent the "curvature" of market trend - when they diverge, trend is strong; when they converge, trend is weakening. Crossovers mark potential trend reversals. 3. Field Reversals (Circles): Small circles appear when the fast EMA crosses the slow EMA, indicating a potential trend change. These are distinct from extreme events and appear at normal market structure shifts. 4. Singularity Diamonds: Small diamond shapes appear when the tensor reaches extreme levels (>90 or <10) but doesn't meet the full signal criteria. These are "watch" events - extreme pressure exists but directional confirmation is lacking. 5. Energy Particles (Dots): Tiny dots appear when volume exceeds 2× average, indicating significant participation. Color matches bar direction. These highlight genuine high-conviction moves versus low-volume drifts. 6. Event Horizon Flash: A golden background flash appears the instant any extreme threshold is breached, before directional analysis. This alerts you to pay attention. 7. Signal Background Flash: When a full buy/sell signal is confirmed, the background flashes cyan (buy) or red (sell). This is your primary alert that all conditions are met. 8. Signal Triangles: The actual buy (▲) and sell (▼) markers. These only appear when ALL selected confirmation criteria are satisfied. Position is offset from bars to avoid overlap with other indicators. DASHBOARD METRICS EXPLAINED The dashboard displays real-time calculated values: Event Density: Current tensor value (0-100). Above 90 or below 10 = critical. Icon changes: 🔥 (extreme high), ❄️ (extreme low), ○ (neutral). Time Dilation (γ): Current volatility ratio squared. Values >2.0 indicate extreme volatility environments. >1.5 = elevated, >1.0 = above average. Icon: ⚡ (extreme), ⚠ (elevated), ○ (normal). Mass (Vol): Log-transformed volume value. Compared to volume ratio (current/average). Icon: ● (>2× avg), ◐ (>1× avg), ○ (below avg). Velocity (ΔP): Raw price change. Direction arrow indicates momentum direction. Shows the actual price delta value. Bullish Flux: Current bullish context score. Displayed as both a bar chart (visual) and numeric value. Brighter when bullish score dominates. Bearish Flux: Current bearish context score. Same visualization as bullish flux. These scores compete - the winner determines signal direction. Field: Trend direction based on EMA relationship. "Repulsive" (uptrend), "Attractive" (downtrend), "Neutral" (ranging). Icon: ⬆⬇↔ State: Current market condition: 🚀 EJECTION: Buy signal active 💥 COLLAPSE: Sell signal active ⚠ CRITICAL: Extreme event, no directional confirmation ● STABLE: Normal market conditions HOW TO USE THE INDICATOR 1. Wait for Extreme Events: The indicator is designed to be selective. Don't trade every fluctuation - wait for tensor to reach >90 or <10. This alone is not a signal. 2. Check Context Scores: Look at the Bullish Flux vs Bearish Flux in the dashboard. If scores are close (within 1-2 points), the market is indecisive - skip the trade. 3. Confirm with Signals: Only act when a full triangle signal appears (▲ or ▼). This means ALL your selected confirmation criteria have been met. 4. Use with Price Structure: Combine with support/resistance levels. A buy signal AT support is higher probability than a buy signal in the middle of nowhere. 5. Respect the Dashboard State: When State shows "CRITICAL" (⚠), it means extreme pressure exists but direction is unclear. These are the most dangerous moments - wait for resolution. 6. Volume Matters: Energy particles (dots) and the Mass metric tell you if institutions are participating. Signals without volume confirmation are lower probability. MARKET AND TIMEFRAME RECOMMENDATIONS Scalping (1m-5m): Lookback: 10-14 Smoothing: 5-7 Threshold: 85 Epsilon: 0.5-0.7 Note: Expect more noise. Confirm with Level 2 data. Best on highly liquid instruments. Intraday (15m-1h): Lookback: 20-30 (default settings work well) Smoothing: 3-5 Threshold: 90 Epsilon: 1.0 Note: Sweet spot for the indicator. High win rate on liquid stocks, forex majors, and crypto. Swing Trading (4h-1D): Lookback: 30-50 Smoothing: 3 Threshold: 90-95 Epsilon: 1.5-2.0 Note: Signals are rare but high conviction. Combine with higher timeframe trend analysis. Position Trading (1D-1W): Lookback: 50-100 Smoothing: 5-7 Threshold: 95 Epsilon: 2.0-3.0 Note: Extremely rare signals. Only trade the most extreme events. Expect massive moves. Market-Specific Settings: Forex (EUR/USD, GBP/USD, etc.): Volume data is unreliable (spot forex has no centralized volume) Disable "Require Volume Confirmation" Focus on momentum and trend filters News events create extreme singularities Best on 15m-1h timeframes Stocks (High-Volume Equities): Volume confirmation is CRITICAL - keep it ON Works excellently on AAPL, TSLA, SPY, etc. Morning session (9:30-11:00 ET) shows highest event density Earnings announcements create guaranteed extreme events Best on 5m-1h for day trading, 1D for swing trading Crypto (BTC, ETH, major alts): Reduce threshold to 85 (crypto has constant high volatility) Volume spikes are THE primary signal - keep volume confirmation ON Works exceptionally well due to 24/7 trading and high volatility Epsilon can be reduced to 0.7-0.8 for more signals Best on 15m-4h timeframes Commodities (Gold, Oil, etc.): Gold responds to macro events (Fed announcements, geopolitical events) Oil responds to supply shocks Use daily timeframe minimum Increase lookback to 50+ These are slow-moving markets - be patient Indices (SPX, NDX, etc.): Institutional volume matters - keep volume confirmation ON Opening hour (9:30-10:30 ET) = highest singularity probability Strong correlation with VIX - high VIX = more extreme events Best on 15m-1h for day trading WHAT MAKES THIS INDICATOR UNIQUE 1. Post-Normalization Sensitivity Control: Unlike most oscillators where sensitivity controls don't actually work (they're applied before normalization, which then rescales everything), FTS applies epsilon compression AFTER normalization. This means the sensitivity parameter genuinely affects signal frequency. This is a novel implementation not found in standard oscillators. 2. Multi-Factor Confluence Requirement: The indicator doesn't just detect "overbought" or "oversold" - it detects extreme conditions AND THEN analyzes context through five separate factors (price structure, momentum, trend, acceleration, volume). Most indicators are single-factor; FTS requires confluence. 3. Volatility-Weighted Normalization: By squaring the ATR ratio (local/global), the indicator adapts to changing market regimes. A 1% move in a low-volatility environment is treated differently than a 1% move in a high-volatility environment. Traditional indicators treat all moves equally regardless of context. 4. Volume Integration at the Core: Volume isn't an afterthought or optional filter - it's baked into the fundamental equation as "mass." The log transformation handles outliers elegantly while preserving significance. Most price-based indicators completely ignore volume. 5. Adaptive Scoring System: Rather than fixed buy/sell rules ("RSI >70 = sell"), FTS uses competitive scoring where bullish and bearish evidence compete. The winner determines direction. This solves the classic problem of "overbought markets can stay overbought during strong uptrends." 6. Comprehensive Visual Feedback: The multi-layer visualization system (accretion disk, field lines, particles, flashes) provides instant intuitive feedback on market state without requiring dashboard reading. You can see pressure building before extreme thresholds are hit. 7. Separate Extreme Detection and Signal Generation: "Singularity diamonds" show extreme events that don't meet full criteria, while "signal triangles" only appear when ALL conditions are met. This distinction helps traders understand when pressure exists versus when it's actionable. COMPARISON TO EXISTING INDICATORS vs. RSI/Stochastic: These normalize price relative to recent range. FTS normalizes (price change × log volume × volatility ratio) - a composite metric, not just price position. vs. Chaikin Money Flow: CMF combines price and volume but lacks volatility context and doesn't use adaptive normalization or post-normalization compression. vs. Bollinger Bands + Volume: Bollinger Bands show volatility but don't integrate volume or create a unified oscillator. They're separate components, not synthesized. vs. MACD: MACD is pure momentum. FTS combines momentum with volume weighting and volatility context, plus provides a normalized 0-100 scale. The specific combination of log-volume weighting, squared volatility amplification, post-normalization epsilon compression, and multi-factor directional scoring is unique to this indicator. LIMITATIONS AND PROPER DISCLOSURE Not a Holy Grail: No indicator is perfect. This tool identifies high-probability setups but cannot predict the future. Losses will occur. Use proper risk management. Requires Confirmation: Best used in conjunction with price action analysis, support/resistance levels, and higher timeframe trend. Don't trade signals blindly. Volume Data Dependency: On forex (spot) and some low-volume instruments, volume data is unreliable or tick-volume only. Disable volume confirmation in these cases. Lagging Components: The EMA smoothing and trend filters are inherently lagging. In extremely fast moves, signals may appear after the initial thrust. Extreme Event Rarity: With conservative settings (high threshold, high epsilon), signals can be rare. This is by design - quality over quantity. If you need more frequent signals, reduce threshold to 85 and epsilon to 0.7. Not Financial Advice: This indicator is an analytical tool. All trading decisions and their consequences are solely your responsibility. Past performance does not guarantee future results. BEST PRACTICES Don't trade every singularity - wait for context confirmation Higher timeframes = higher reliability Combine with support/resistance for entry refinement Volume confirmation is CRITICAL for stocks/crypto (toggle off only for forex) During major news events, singularities are inevitable but direction may be uncertain - use wider stops When bullish and bearish flux scores are close, skip the trade Test settings on your specific instrument/timeframe before live trading Use the dashboard actively - it contains critical diagnostic information Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Penunjuk Pine Script®
oleh DskyzInvestments
Quarterly Cycle Theory with DST time AdjustedThe Quarterly Theory removes ambiguity, as it gives specific time-based reference points to look for when entering trades. Before being able to apply this theory to trading, one must first understand that time is fractal: Yearly Quarters = 4 quarters of three months each. Monthly Quarters = 4 quarters of one week each. Weekly Quarters = 4 quarters of one day each (Monday - Thursday). Friday has its own specific function. Daily Quarters = 4 quarters of 6 hours each = 4 trading sessions of a trading day. Sessions Quarters = 4 quarters of 90 minutes each. 90 Minute Quarters = 4 quarters of 22.5 minutes each. Yearly Cycle: Analogously to financial quarters, the year is divided in four sections of three months each: Q1 - January, February, March. Q2 - April, May, June (True Open, April Open). Q3 - July, August, September. Q4 - October, November, December. S&P 500 E-mini Futures (daily candles) — Monthly Cycle. Monthly Cycle: Considering that we have four weeks in a month, we start the cycle on the first month’s Monday (regardless of the calendar Day): Q1 - Week 1: first Monday of the month. Q2 - Week 2: second Monday of the month (True Open, Daily Candle Open Price). Q3 - Week 3: third Monday of the month. Q4 - Week 4: fourth Monday of the month. S&P 500 E-mini Futures (4 hour candles) — Weekly Cycle. Weekly Cycle: Daye determined that although the trading week is composed by 5 trading days, we should ignore Friday, and the small portion of Sunday’s price action: Q1 - Monday. Q2 - Tuesday (True Open, Daily Candle Open Price). Q3 - Wednesday. Q4 - Thursday. S&P 500 E-mini Futures (1 hour candles) — Daily Cycle. Daily Cycle: The Day can be broken down into 6 hour quarters. These times roughly define the sessions of the trading day, reinforcing the theory’s validity: Q1 - 18:00 - 00:00 Asia. Q2 - 00:00 - 06:00 London (True Open). Q3 - 06:00 - 12:00 NY AM. Q4 - 12:00 - 18:00 NY PM. S&P 500 E-mini Futures (15 minute candles) — 6 Hour Cycle. 6 Hour Quarters or 90 Minute Cycle / Sessions divided into four sections of 90 minutes each (EST/EDT): Asian Session Q1 - 18:00 - 19:30 Q2 - 19:30 - 21:00 (True Open) Q3 - 21:00 - 22:30 Q4 - 22:30 - 00:00 London Session Q1 - 00:00 - 01:30 Q2 - 01:30 - 03:00 (True Open) Q3 - 03:00 - 04:30 Q4 - 04:30 - 06:00 NY AM Session Q1 - 06:00 - 07:30 Q2 - 07:30 - 09:00 (True Open) Q3 - 09:00 - 10:30 Q4 - 10:30 - 12:00 NY PM Session Q1 - 12:00 - 13:30 Q2 - 13:30 - 15:00 (True Open) Q3 - 15:00 - 16:30 Q4 - 16:30 - 18:00 S&P 500 E-mini Futures (5 minute candles) — 90 Minute Cycle. Micro Cycles: Dividing the 90 Minute Cycle yields 22.5 Minute Quarters, also known as Micro Sessions or Micro Quarters: Asian Session Q1/1 18:00:00 - 18:22:30 Q2 18:22:30 - 18:45:00 Q3 18:45:00 - 19:07:30 Q4 19:07:30 - 19:30:00 Q2/1 19:30:00 - 19:52:30 (True Session Open) Q2/2 19:52:30 - 20:15:00 Q2/3 20:15:00 - 20:37:30 Q2/4 20:37:30 - 21:00:00 Q3/1 21:00:00 - 21:23:30 etc. 21:23:30 - 21:45:00 London Session 00:00:00 - 00:22:30 (True Daily Open) 00:22:30 - 00:45:00 00:45:00 - 01:07:30 01:07:30 - 01:30:00 01:30:00 - 01:52:30 (True Session Open) 01:52:30 - 02:15:00 02:15:00 - 02:37:30 02:37:30 - 03:00:00 03:00:00 - 03:22:30 03:22:30 - 03:45:00 03:45:00 - 04:07:30 04:07:30 - 04:30:00 04:30:00 - 04:52:30 04:52:30 - 05:15:00 05:15:00 - 05:37:30 05:37:30 - 06:00:00 New York AM Session 06:00:00 - 06:22:30 06:22:30 - 06:45:00 06:45:00 - 07:07:30 07:07:30 - 07:30:00 07:30:00 - 07:52:30 (True Session Open) 07:52:30 - 08:15:00 08:15:00 - 08:37:30 08:37:30 - 09:00:00 09:00:00 - 09:22:30 09:22:30 - 09:45:00 09:45:00 - 10:07:30 10:07:30 - 10:30:00 10:30:00 - 10:52:30 10:52:30 - 11:15:00 11:15:00 - 11:37:30 11:37:30 - 12:00:00 New York PM Session 12:00:00 - 12:22:30 12:22:30 - 12:45:00 12:45:00 - 13:07:30 13:07:30 - 13:30:00 13:30:00 - 13:52:30 (True Session Open) 13:52:30 - 14:15:00 14:15:00 - 14:37:30 14:37:30 - 15:00:00 15:00:00 - 15:22:30 15:22:30 - 15:45:00 15:45:00 - 15:37:30 15:37:30 - 16:00:00 16:00:00 - 16:22:30 16:22:30 - 16:45:00 16:45:00 - 17:07:30 17:07:30 - 18:00:00 S&P 500 E-mini Futures (30 second candles) — 22.5 Minute Cycle.
Penunjuk Pine Script®
oleh dmaru1209
3
Quarterly Theory ICT 02 [TradingFinder] True Open Session 90 Min🔵 Introduction The Quarterly Theory ICT indicator is an advanced analytical system built on ICT (Inner Circle Trader) concepts and fractal time. It divides time into four quarters (Q1, Q2, Q3, Q4), and is designed based on the consistent repetition of these phases across all trading timeframes (annual, monthly, weekly, daily, and even shorter trading sessions). Each cycle consists of four distinct phases: the first phase (Q1) is the Accumulation phase, characterized by price consolidation; the second phase (Q2), known as Manipulation or Judas Swing, is marked by initial false movements indicating a potential shift; the third phase (Q3) is Distribution, where price volatility peaks; and the fourth phase (Q4) is Continuation/Reversal, determining whether the previous trend continues or reverses. 🔵 How to Use The central concept of this strategy is the "True Open," which refers to the actual starting point of each time cycle. The True Open is typically defined at the beginning of the second phase (Q2) of each cycle. Prices trading above or below the True Open serve as a benchmark for predicting the market's potential direction and guiding trading decisions. The practical application of the Quarterly Theory strategy relies on accurately identifying True Open points across various timeframes. True Open points are defined as follows : Yearly Cycle : Q1: January, February, March Q2: April, May, June (True Open: April Monthly Open) Q3: July, August, September Q4: October, November, December Monthly Cycle : Q1: First Monday of the month Q2: Second Monday of the month (True Open: Daily Candle Open price on the second Monday) Q3: Third Monday of the month Q4: Fourth Monday of the month Weekly Cycle : Q1: Monday Q2: Tuesday (True Open: Daily Candle Open Price on Tuesday) Q3: Wednesday Q4: Thursday Daily Cycle : Q1: 18:00 - 00:00 (Asian session) Q2: 00:00 - 06:00 (True Open: Start of London Session) Q3: 06:00 - 12:00 (NY AM) Q4: 12:00 - 18:00 (NY PM) 90 Min Asian Session : Q1: 18:00 - 19:30 Q2: 19:30 - 21:00 (True Open at 19:30) Q3: 21:00 - 22:30 Q4: 22:30 - 00:00 90 Min London Session : Q1: 00:00 - 01:30 Q2: 01:30 - 03:00 (True Open at 01:30) Q3: 03:00 - 04:30 Q4: 04:30 - 06:00 90 Min New York AM Session : Q1: 06:00 - 07:30 Q2: 07:30 - 09:00 (True Open at 07:30) Q3: 09:00 - 10:30 Q4: 10:30 - 12:00 90 Min New York PM Session : Q1: 12:00 - 13:30 Q2: 13:30 - 15:00 (True Open at 13:30) Q3: 15:00 - 16:30 Q4: 16:30 - 18:00 Micro Cycle (22.5-Minute Quarters) : Each 90-minute quarter is further divided into four 22.5-minute sub-segments (Micro Sessions). True Opens in these sessions are defined as follows : Asian Micro Session : True Session Open : 19:30 - 19:52:30 London Micro Session : T rue Session Open : 01:30 - 01:52:30 New York AM Micro Session : True Session Open : 07:30 - 07:52:30 New York PM Micro Session : True Session Open : 13:30 - 13:52:30 By accurately identifying these True Open points across various timeframes, traders can effectively forecast the market direction, analyze price movements in detail, and optimize their trading positions. Prices trading above or below these key levels serve as critical benchmarks for determining market direction and making informed trading decisions. 🔵 Setting Show True Range : Enable or disable the display of the True Range on the chart, including the option to customize the color. Extend True Range Line : Choose how to extend the True Range line on the chart, with the following options: None: No line extension Right: Extend the line to the right Left: Extend the line to the left Both: Extend the line in both directions (left and right) Show Table : Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed. Show More Info : Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle. 🔵 Conclusion The Quarterly Theory ICT, by dividing time into four distinct quarters (Q1, Q2, Q3, and Q4) and emphasizing the concept of the True Open, provides a structured and repeatable framework for analyzing price action across multiple time frames. The consistent repetition of phases—Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal—allows traders to effectively identify recurring price patterns and critical market turning points. Utilizing the True Open as a benchmark, traders can more accurately determine potential directional bias, optimize trade entries and exits, and manage risk effectively. By incorporating principles of ICT (Inner Circle Trader) and fractal time, this strategy enhances market forecasting accuracy across annual, monthly, weekly, daily, and shorter trading sessions. This systematic approach helps traders gain deeper insight into market structure and confidently execute informed trading decisions.
Penunjuk Pine Script®
oleh TFlab
4