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Penunjuk dan strategi
Scalptrading

Scalptrading

Trinity Flow Overview This strategy is based on the trading method I used when I first entered the world of investing at age 20. While the original entry conditions and exit rules were quite rough, I've revived this approach with a sense of nostalgia, refining it into a modern form after years of experience. Strategy Features Trend Filter: Trend determination using three EMAs (8, 14, 50) EMA alignment 8 > 14 > 50: Long condition (EMA line: White) EMA alignment 50 > 14 > 8: Short condition (EMA line: Red) Other alignments: Range/neutral (EMA line: Gray) Entry Timing: Stochastic RSI (3, 3, 14, 14) crossover Long entry on the bar following a confirmed golden cross Short entry on the bar following a confirmed death cross Risk Management: ATR (14) based fixed ratios Stop Loss: ATR × 3 Take Profit: ATR × 2 Visual Design White EMA line: Long opportunity zone Red EMA line: Short opportunity zone Gray EMA line: No clear trading opportunity Light white box: Profit zone Light red box: Loss zone Parameters All parameters (EMA periods, Stoch RSI settings, ATR period, SL/TP multipliers) are fully adjustable in the settings. Disclaimer Frequent false signals may occur in ranging markets Works best in strong trending markets Past performance does not guarantee future results 概要このストラテジーは、私が20歳の頃、初めて投資の世界に入った時に使っていた手法を基にしています。当時は粗削りなエントリー条件と決済ルールでしたが、長年の経験を経て、懐かしさを感じながら現代的な形に復活させました。手法の特徴トレンドフィルター：3本のEMA（8, 14, 50）の並び順でトレンドを判定 EMAが8 > 14 > 50の順：ロング条件（EMAライン：白） EMAが50 > 14 > 8の順：ショート条件（EMAライン：赤）それ以外：レンジ状態（EMAライン：灰色）エントリータイミング：Stochastic RSI（3, 3, 14, 14）のクロスゴールデンクロス確定後の次足でロングエントリーデッドクロス確定後の次足でショートエントリーリスク管理：ATR（14）ベースの固定比率損切：ATR × 3倍利確：ATR × 2倍ビジュアルデザイン白いEMAライン：ロング狙える状態赤いEMAライン：ショート狙える状態灰色のEMAライン：エントリーチャンスなし薄い白ボックス：利益ゾーン薄い赤ボックス：損失ゾーンパラメータすべてのパラメータ（EMA期間、Stoch RSI設定、ATR期間、損切・利確倍率）は設定から調整可能です。注意事項レンジ相場では頻繁にダマシが発生する可能性があります強いトレンド相場で最も効果を発揮しますバックテストの結果は過去のパフォーマンスであり、将来の結果を保証するものではありません

Strategi Pine Script®

oleh mm_mitsuya

Scalp Options Call/Put Signals v3 This captures three things to help with scalping and provides a flag showing entry, exit, and stop loss points*: VWAP alignment Momentum confirmation (RSI + EMA) Trend continuation / breakout structure Those three together remove most random chop signals. Recommended setup: Utilize the 5 minute chart for signaling. *NOTE: I don't use the stop loss recommended on the flag. It is only a recommendation, not a sword to die on. Use your own structure. Back Test Results (From Nov 3, 2025 to March 5, 2026) Trades analyzed when signal was triggered: 72 Correct direction: 56 (Some were fast profit and some had to sit and cook) Incorrect direction: 16 (These would have been stopped out of based on your structure.) Win rate: 56 / 72 = 77.78% That is extremely strong for directional signals. For context: Many professional trading systems operate around 55-65%. Anything above 70% is considered very strong if the risk management is sound. Some days you will see multiple signals firing off. Some days you will see none. 3/20/2026 Update: 1. Added the entire trading session and removed premarket and aftermarket hours, so you no longer need to remove that from your view. 2. Adjusted the Stop ATR multiplier from .8 to 1.0 to loosen the stops from getting eaten by options spread/premium. 3. Cooldown is set to 4 bars to help with overtrading tendency. 4. Adjusted the volume multiplier from 1.0 to 1.2 to filter out weaker setups. 5. Turned off the continuation entries by default. This was generating signals on every trending bar. Bug Fixes: a. Fresh cross adjustment to ensure EMA and VWAP cross for confirmation. b. Pullback logic adjusted to remove same bar detection flags. c. Opposing signal filter to stop put and call signals from firing off simultaneously. d. Removed duplicate labels. Now Open Source

Penunjuk Pine Script®

ST Scalping Identifies momentum candles aligned with EMA trend and session timing to capture precise scalping opportunities.

Penunjuk Pine Script®

oleh sahiltirth

Nico Trend Change Indicator + 2 TP Targets The Trend Change Indicator (TCI) is a trend-following momentum tool designed to identify clear trade entries and exits based on the relationship between two moving averages and volatility-adjusted margins. Here is a breakdown of how the indicator works and how to interpret its components: 1. The Core Ribbon (Momentum & Trend) The heart of the indicator is the "Ribbon," formed by a Fast and a Slow-moving average. Green Ribbon (Bullish): This occurs when the Fast length is significantly above the Slow length, indicating strong upward momentum. This serves as your Long Entry signal. Red Ribbon (Bearish): This occurs when the Fast length is significantly below the Slow length, indicating strong downward momentum. This serves as your Put / Short Entry signal. White Ribbon (Neutral/Chop): When the difference between the two averages is smaller than the volatility-based margin (determined by the ATR), the ribbon turns white. This is a No Trade Zone or a Take Profit (TP) Zone. 2. Volatility Filtering (ATR Margin) Unlike a standard moving average crossover, the TCI uses an ATR (Average True Range) Margin. The trend only changes to Bullish or Bearish if the gap between the Fast and Slow lines is larger than a specific percentage of the market's current volatility. This helps filter out "fakeouts" or "noise" during sideways markets where moving averages might cross frequently without a real trend starting. 3. Support/Resistance & Forecast Dots SMA Line: The thick white line is a long-term Simple Moving Average (defaulting to 140 periods). It acts as the primary "baseline." If the price is above this line, the overall bias is bullish; below it, the bias is bearish. Forecast Dots: The white dots appearing ahead of the price are SMA Forecasts. They project where the SMA will likely be in the future based on current price action, helping you visualize potential dynamic support or resistance levels before the price reaches them. 4. Higher Timeframe (HTF) Analysis The indicator includes a built-in "Security" function that looks at a higher timeframe (like the 4H or 12H) regardless of what chart you are currently viewing. The dashboard table uses this to show you if the "Big Trend" (HTF) matches the "Current Trend" (Chart TF). Trading in the direction of both timeframes (e.g., both are Green) typically increases the probability of a successful trade. Summary of Trade Signals

Penunjuk Pine Script®

Smart Trader, Episode 04, by Ata Sabanci, Candles and Z Scores Smart Trader, Episode 04 Candles and Z-Scores: A Statistical Approach to Market Analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ OVERVIEW This indicator applies Z-Score statistical analysis to measure how unusual current market conditions are compared to historical norms. It simultaneously analyzes five key metrics: Price, Total Volume, Buy Volume, Sell Volume, and Delta (Buy minus Sell) . The system detects 60 academically-researched market scenarios and provides visual feedback through Z-Lines (support/resistance levels), Event Markers, Trend Channels, and a comprehensive Dashboard. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CORE CONCEPT: WHY Z-SCORE? A Z-Score measures how many standard deviations a value is from its mean. In financial markets, extreme Z-Scores indicate statistically rare events that often precede significant price movements. Mathematical Formula: Z = (Current Value - Mean) / Standard Deviation Interpretation: • Z ≥ +2.0: Extremely high (occurs approximately 2.5% of the time) • Z ≥ +1.0: Above average • Z ≈ 0: Normal (near the mean) • Z ≤ -1.0: Below average • Z ≤ -2.0: Extremely low (occurs approximately 2.5% of the time) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ACADEMIC FOUNDATION This indicator is inspired by / grounded in market microstructure literature (abbreviated citations in-script) from market microstructure literature: • Price-Volume Relationship - Karpoff (1987), Journal of Financial and Quantitative Analysis, Cambridge Volume is positively correlated with price change magnitude • Order Flow Imbalance - Cont, Kukanov, Stoikov (2014), Journal of Financial Econometrics Order imbalance drives price more reliably than raw volume • Informed Trading (PIN Model) - Easley, Kiefer, O'Hara, Paperman (1996), Journal of Finance Buy/Sell imbalance reveals informed trader activity • Mixture of Distributions - Tauchen & Pitts (1983), Clark (1973) Volume clusters with volatility regimes • Volume Predictability - Gervais, Kaniel, Mingelgrin (2001) Volume shocks predict future returns • Liquidity & Order Imbalance - Chordia, Roll, Subrahmanyam (2002) Order imbalance affects short-term returns • Volume-Return Dynamics - Llorente, Michaely, Saar, Wang (2002) Speculation vs. risk-sharing patterns • Reversal vs. Continuation - Campbell, Grossman, Wang (MIT) High volume predicts lower autocorrelation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ VOLUME ENGINE The indicator offers two methods for decomposing total volume into Buy and Sell components: Method 1: Geometry (Approximation) Uses candle structure to estimate buying and selling pressure: Buy Volume = Total Volume × (Close - Low) / (High - Low) Sell Volume = Total Volume × (High - Close) / (High - Low) • Works on all instruments without additional data requirements • Fast calculation • Less precise than intrabar method Method 2: Intrabar (Precise) Uses Lower Timeframe (LTF) tick/second data to aggregate actual up-ticks versus down-ticks: • More accurate volume decomposition • Requires LTF data availability • Configurable LTF: 1T (tick), 1S, 15S, 1M Delta Calculation: Delta = Buy Volume - Sell Volume ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Z-SCORE SYSTEM The system calculates Z-Scores for five metrics simultaneously, using a configurable lookback period (default: 20 bars): • Zp (Price Z-Score): Measures price deviation from its mean • Zv (Volume Z-Score): Measures total volume deviation • Zbuy (Buy Volume Z-Score): Measures buying pressure deviation • Zsell (Sell Volume Z-Score): Measures selling pressure deviation • ZΔ (Delta Z-Score): Measures order flow imbalance deviation Threshold Constants: • ZH (Z High) = 2.0: Extreme threshold • ZM (Z Medium) = 1.0: Moderate threshold • Z0 (Z Zero) = 0.5: Near-zero threshold Group System: The analysis window is divided into groups (default: 5 groups × 20 bars = 100 bar total window). Group numbers (1, 2, 3...) are displayed above candles when enabled, helping identify the relative age of detected levels. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Z-LINES (SUPPORT/RESISTANCE LEVELS) When any metric reaches an extreme Z-Score, the system marks that price level as a significant support or resistance zone. Detection Logic: • Upper Z-Line: Drawn from the HIGH when Z ≥ upper threshold (default +2.0) • Lower Z-Line: Drawn from the LOW when Z ≤ lower threshold (default -2.0) Multi-Metric Detection: Z-Lines can be triggered by any of the five metrics (Price, Volume, Buy, Sell, Delta). When multiple metrics trigger at similar price levels, they are clustered together into a single combined label showing all contributing metrics. Persistence: Z-Lines persist for the entire analysis window (Period × Groups bars) and are NOT removed when price touches them. This allows traders to see historical support/resistance levels that may still be relevant. Anti-Overlap System: Labels are automatically repositioned to prevent overlap. The "Label Min Gap (%)" setting controls minimum vertical separation between ALL labels (both upper and lower), ensuring readability even when multiple levels cluster together. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EVENT DETECTION ENGINE (60 SCENARIOS) The system analyzes 60 distinct market scenarios based on Z-Score combinations. Each scenario is derived from academic research and assigned a confidence score based on signal strength and alignment. Notation: • Zp = Price Z-Score • Zv = Total Volume Z-Score • Zbuy = Buy Volume Z-Score • Zsell = Sell Volume Z-Score • ZΔ = Delta Z-Score • dirP = Price direction (+1 if Zp > 0.5, -1 if Zp < -0.5, else 0) • = Previous bar value • ZH = 2.0 (High threshold) • ZM = 1.0 (Medium threshold) • Z0 = 0.5 (Zero threshold) ───────────────────────────────────────────────────────────── CATEGORY A: PRICE-VOLUME (Events 1-10) Based on: Karpoff (1987), Tauchen-Pitts (1983), Clark (1973) ───────────────────────────────────────────────────────────── Event 1: Breakout Confirmed |Zp| ≥ ZH AND Zv ≥ ZH AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Bullish/Bearish (follows price direction) Event 2: Trend Strength Confirmed |Zp| ≥ ZH AND Zv ≥ ZH Direction: Follows price direction Event 3: Fragile Move |Zp| ≥ ZH AND Zv ≤ -ZM Direction: Warning (price move without volume support) Event 4: Weak Rally Zp ≥ ZH AND Zv ≤ -ZH Direction: Warning (price up without volume) Event 5: Weak Selloff Zp ≤ -ZH AND Zv ≤ -ZH Direction: Warning (price down without volume) Event 6: Momentum Build ZM ≤ |Zp| < ZH AND Zv ≥ ZH Direction: Follows price direction Event 7: Churn |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Neutral (high volume, low price movement) Event 8: Quiet Compression |Zp| ≤ Z0 AND Zv ≤ -ZH Direction: Neutral (low volume, low price movement) Event 9: High Volume Regime Zv ≥ ZH Direction: Neutral Event 10: Low Volume Regime Zv ≤ -ZH Direction: Neutral ───────────────────────────────────────────────────────────── CATEGORY B: ORDER-FLOW / DELTA (Events 11-16) Based on: Cont, Kukanov, Stoikov (2014), Easley, Kiefer, O'Hara, Paperman (1996) ───────────────────────────────────────────────────────────── Event 11: Imbalance Drives Price |ZΔ| ≥ ZH AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction (dirP), with delta alignment required Event 12: Divergence Top Zp ≥ ZH AND ZΔ ≤ -ZH Direction: Warning (distribution at top) Event 13: Divergence Bottom Zp ≤ -ZH AND ZΔ ≥ ZH Direction: Warning (accumulation at bottom) Event 14: Absorption Positive |Zp| ≤ Z0 AND Zv ≥ ZH AND ZΔ ≥ ZH Direction: Bullish (buy absorption, support forming) Event 15: Absorption Negative |Zp| ≤ Z0 AND Zv ≥ ZH AND ZΔ ≤ -ZH Direction: Bearish (sell absorption, resistance forming) Event 16: Depth Wall Zv ≥ ZH AND |ZΔ| ≥ ZH AND |Zp| ≤ Z0 Direction: Neutral (market depth absorbing) ───────────────────────────────────────────────────────────── CATEGORY C: BUY VS SELL (Events 17-23) Based on: Easley, Kiefer, O'Hara, Paperman (1996), Chordia, Roll, Subrahmanyam (2002) ───────────────────────────────────────────────────────────── Event 17: Aggressive Buy Dominance Zbuy ≥ ZH AND ZΔ ≥ ZH AND Zsell ≤ -ZM Direction: Bullish Event 18: Aggressive Sell Dominance Zsell ≥ ZH AND ZΔ ≤ -ZH AND Zbuy ≤ -ZM Direction: Bearish Event 19: Two-Sided Battle Zbuy ≥ ZH AND Zsell ≥ ZH AND |ZΔ| ≤ Z0 Direction: Neutral (buyers and sellers equally strong) Event 20: Battle with Buy Edge Zbuy ≥ ZH AND Zsell ≥ ZH AND ZM ≤ ZΔ < ZH Direction: Bullish Event 21: Battle with Sell Edge Zbuy ≥ ZH AND Zsell ≥ ZH AND -ZH < ZΔ ≤ -ZM Direction: Bearish Event 22: Hidden Accumulation Zbuy ≥ ZH AND |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Bullish (buy shock without price movement) Event 23: Hidden Distribution Zsell ≥ ZH AND |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Bearish (sell shock without price movement) ───────────────────────────────────────────────────────────── CATEGORY D: PREDICTABILITY (Events 24-26) Based on: Gervais, Kaniel, Mingelgrin (2001), Karpoff (1987) ───────────────────────────────────────────────────────────── Event 24: Volume Shock Positive Drift Zv ≥ ZH AND |Zp| ≤ ZM Direction: Follows price direction Event 25: Volume Shock Negative Drift Zv ≤ -ZH AND |Zp| ≤ ZM Direction: Opposite to price direction Event 26: Abnormal Volume Info Arrival Zv ≥ ZH Direction: Neutral ───────────────────────────────────────────────────────────── CATEGORY E: REVERSAL VS CONTINUATION (Events 27-30) Based on: Campbell, Grossman, Wang (MIT), Llorente, Michaely, Saar, Wang (2002) ───────────────────────────────────────────────────────────── Event 27: High Vol Reversal Risk Zv ≥ ZH Direction: Warning (high volume implies lower positive autocorrelation) Event 28: Low Vol Continuation Risk Zv ≤ -ZH Direction: Follows price direction (trend likely continues) Event 29: Speculation Continuation Zv ≥ ZH AND |ZΔ| ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction Event 30: Risk Sharing Reversal Zv ≥ ZH AND |ZΔ| ≤ Z0 Direction: Warning (potential reversal) ───────────────────────────────────────────────────────────── CATEGORY F: IMBALANCE LAG (Events 31-33) Based on: Chordia, Roll, Subrahmanyam (2002) ───────────────────────────────────────────────────────────── Event 31: Persistent Imbalance Push |ZΔ| ≥ ZM AND |ZΔ | ≥ ZM AND sign(ZΔ) = sign(ZΔ ) Direction: Follows delta direction (persistent pressure) Event 32: Imbalance Pressure Decay (ZΔ ≥ ZM AND ZΔ ≤ -ZM) OR (ZΔ ≤ -ZM AND ZΔ ≥ ZM) Direction: Warning (imbalance sign flip) Event 33: Intraday Imbalance Predicts |ZΔ| ≥ ZM Direction: Follows delta direction ───────────────────────────────────────────────────────────── CATEGORY G: SUPPORT/RESISTANCE (Events 34-36) Based on: Peskir (Manchester) ───────────────────────────────────────────────────────────── Event 34: SR Barrier Event |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Neutral (price stalls with high volume) Event 35: Volume Backed SR Level |Zp| ≤ Z0 AND Zv ≥ ZH AND |ZΔ| ≥ ZM Direction: Follows delta direction Event 36: Volume Poor SR Level |Zp| ≤ Z0 AND Zv ≤ -ZM Direction: Warning (weak S/R without volume) ───────────────────────────────────────────────────────────── CATEGORY H: EXTENDED ANALYSIS (Events 37-50) Based on: Extended market microstructure analysis ───────────────────────────────────────────────────────────── Event 37: Climax Buy Zbuy ≥ ZH AND Zp ≥ ZH AND Zv ≥ ZH Direction: Warning (extreme buying exhaustion, potential top) Event 38: Climax Sell Zsell ≥ ZH AND Zp ≤ -ZH AND Zv ≥ ZH Direction: Warning (extreme selling exhaustion, potential bottom) Event 39: Stealth Accumulation Zbuy ≥ ZM AND |Zp| ≤ Z0 AND Zv ≤ Z0 Direction: Bullish (quiet buying) Event 40: Stealth Distribution Zsell ≥ ZM AND |Zp| ≤ Z0 AND Zv ≤ Z0 Direction: Bearish (quiet selling) Event 41: Volume Divergence Bull Zp ≤ -ZM AND Zv ≤ -ZM Direction: Bullish (price down but volume declining) Event 42: Volume Divergence Bear Zp ≥ ZM AND Zv ≤ -ZM Direction: Bearish (price up but volume declining) Event 43: Delta Price Alignment |Zp| ≥ ZM AND |ZΔ| ≥ ZM AND sign(Zp) = sign(ZΔ) Direction: Follows price direction (strong trend confirmation) Event 44: Extreme Compression |Zp| ≤ Z0 AND Zv ≤ -ZH Direction: Neutral (very low volatility) Event 45: Volatility Expansion |Zp| ≥ ZH AND Zv ≥ ZH Direction: Follows price direction (breakout from compression) Event 46: Buy Exhaustion Zbuy ≥ ZH AND Zp ≤ Z0 Direction: Warning (high buy but price fails) Event 47: Sell Exhaustion Zsell ≥ ZH AND Zp ≥ -Z0 Direction: Warning (high sell but price holds) Event 48: Trend Acceleration |Zp| ≥ ZM AND |Zp| > |Zp | AND Zv ≥ ZM Direction: Follows price direction (increasing momentum) Event 49: Trend Deceleration |Zp| ≥ ZM AND |Zp| < |Zp | AND sign(Zp) = sign(Zp ) Direction: Warning (decreasing momentum) Event 50: Multi Divergence (Zp ≥ ZM AND ZΔ ≤ -ZM) OR (Zp ≤ -ZM AND ZΔ ≥ ZM) + |Zp| ≥ ZM AND Zv ≤ -ZM Direction: Warning (multiple divergence signals) ───────────────────────────────────────────────────────────── CATEGORY I: TREND-INTEGRATED (Events 51-60) Based on: Combined price-volume-delta trend analysis ───────────────────────────────────────────────────────────── Event 51: Trend Breakout Confirmed |Zp| ≥ ZH AND Zv ≥ ZH AND |ZΔ| ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction Event 52: Trend Support Test Zp ≥ ZM AND Z0 ≤ Zp < ZM AND ZΔ ≥ Z0 Direction: Bullish (pullback in uptrend) Event 53: Trend Resistance Test Zp ≤ -ZM AND -ZM < Zp ≤ -Z0 AND ZΔ ≤ -Z0 Direction: Bearish (rally in downtrend) Event 54: Trend Reversal Signal sign(Zp) ≠ sign(Zp ) AND |Zp| ≥ ZM AND |Zp | ≥ ZM Direction: Follows new price direction (momentum flip) Event 55: Channel Absorption |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Neutral (range-bound with volume) Event 56: Trend Continuation Volume |Zp| ≥ ZM AND Zv ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction (healthy trend with volume) Event 57: Trend Exhaustion |Zp| ≥ ZM AND Zv ≤ -ZM AND |Zp| < |Zp | Direction: Warning (trend losing steam) Event 58: Range Breakout Pending |Zp| ≤ Z0 AND Zv ≤ -ZH AND |ZΔ| ≥ ZM Direction: Follows delta direction (compression with imbalance) Event 59: Trend Quality High |Zp| ≥ ZM AND sign(ZΔ) = dirP AND Zv ≥ Z0 AND dirP ≠ 0 Direction: Follows price direction (strong aligned signals) Event 60: Trend Quality Low |Zp| ≥ ZM AND sign(ZΔ) ≠ dirP AND dirP ≠ 0 Direction: Warning (conflicting signals) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TREND CHANNEL SYSTEM The trend channel system is adapted from Smart Trader Episode 03 to provide consistent visual context for price action analysis. How It Works: • Divides the chart into blocks based on Z-Score groups • Calculates OHLC (Open, High, Low, Close) for each block • Detects Higher Highs/Higher Lows (uptrend) or Lower Highs/Lower Lows (downtrend) patterns • Draws channel lines connecting block extremes • Classifies by angle: steep angles indicate trends, flat angles indicate ranges Channel Classifications: • UPTREND: Higher highs and higher lows detected • DOWNTREND: Lower highs and lower lows detected • RANGE: Channel angle below threshold (default 10 degrees) Label Information: • Trend direction (UPTREND/DOWNTREND/RANGE) • Channel boundary prices • Distance from current price (absolute and percentage) • Channel angle in degrees ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DASHBOARD The dashboard provides a comprehensive real-time view of all Z-Score metrics and detected events. Dashboard Sections: 1. Header Row Displays indicator name and current calculation mode (CLOSED or LIVE). 2. Metric Rows (Price, Total Volume, Buy Volume, Sell Volume, Delta) Each row displays: • Value: Current metric value • Z: Calculated Z-Score • Visual: Graphical Z-bar showing position relative to mean • Status: Interpretation (Extreme High, Above Avg, Normal, Below Avg, Extreme Low) • Upper: Oldest active upper Z-Line in window (Label Mirror) • Lower: Oldest active lower Z-Line in window (Label Mirror) 3. Event Detection Section • Count of triggered events out of 60 total scenarios • Market Bias: Bull/Bear/Neutral percentage with visual bar • Strongest Event: Highest confidence event currently triggered • #2 Event: Second highest confidence event 4. Footer Shows engine type (Geometry/Intrabar), Z-Score period, calculation basis, and number of valid bars. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ALERT SYSTEM The indicator uses native alertcondition() functions, keeping the settings menu clean while providing comprehensive alert options in TradingView's alert dialog. Available Alert Categories: • Master Alerts: Any event, Any bullish, Any bearish, Any warning • Single Event Alerts: Individual alerts for key events (Breakout, Climax, Divergence, etc.) • Category Alerts: Alerts by event category (Price-Volume, Order-Flow, etc.) • Confluence Alerts: 2+, 3+, 4+, or 5+ aligned events • Bias Shift Alerts: 10%, 20%, or 30% shifts in market bias • High Confidence Alerts: Events with 60%+, 70%+, 80%+, or 90%+ confidence • Divergence Alerts: Price vs Volume or Price vs Delta divergences ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DATA ACCURACY AND LIMITATIONS This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations when using the Intrabar method. Data Accuracy Levels: • 1T (Tick): Most accurate, real volume distribution per tick • 1S (1 Second): Reasonably accurate approximation • 15S (15 Seconds): Good approximation, longer historical data available • 1M (1 Minute): Rough approximation, maximum historical data range Backtest and Replay Limitations: • Replay mode results may differ from live trading due to data availability • For longer backtest periods, use higher LTF settings (15S or 1M) • Not all symbols/exchanges support tick-level data • Crypto and Forex typically have better LTF data availability than stocks A Note on Data Access: Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable calculations. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ LANGUAGE SUPPORT (TRI-LINGUAL UI) This indicator includes a built-in language switch with three interface languages : • English (EN) • Türkçe (TR) • 한국어 (KO) The selected language updates key interface text such as the Dashboard headers/rows , tooltips , and the Event Engine outputs (event names, category names, and direction labels). Turkish diacritics and Korean Hangul are supported for clean, native readability. Why only three languages? Each additional language requires duplicating strings throughout the code, which increases script size/memory usage and compilation time. To keep the indicator optimized and responsive, language options are intentionally limited to three. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER FOR EDUCATIONAL AND RESEARCH PURPOSES ONLY This indicator is designed as an educational and research tool based on academic market microstructure literature. It is NOT financial advice and should NOT be used as the sole basis for trading decisions. Important Notices: • Past performance does not guarantee future results • All trading involves risk of substantial loss • The indicator's signals are statistical probabilities, not certainties • Always conduct your own research and consult qualified financial advisors • The creator assumes no responsibility for trading losses Research Sources: This indicator is built upon peer-reviewed academic research from: • Journal of Financial and Quantitative Analysis (Cambridge University Press) • Journal of Finance • Journal of Financial Econometrics • MIT Working Papers • arXiv Financial Mathematics

Penunjuk Pine Script®

oleh ata_sabanci

[LJ] HTF Candles with Volume POC [Highly Optimized]Welcome to the ultimate Higher Timeframe (HTF) fusion tool. This indicator seamlessly merges Higher Timeframe price action with precise volume profiling on Lower Timeframe (LTF) charts. By utilizing advanced array memory management, it bypasses TradingView's drawing limits to render clean HTF candle boxes and their exact Volume Point of Control (POC), ensuring peak performance and accuracy even on extreme timeframe combinations. 🔎 Visual Guide: What's on Your Chart? The Big Boxes (Wick & Body): These represent the Open, High, Low, and Close of your selected Higher Timeframe (e.g., a 1-Hour candle projected onto your 5-Minute chart). Color-coded for bullish/bearish momentum. The Midline: A horizontal line dividing the HTF candle perfectly in half. Useful for gauging if LTF price is in a "premium" or "discount" zone relative to the HTF. The Yellow Box (The POC): This is the Point of Control. When an HTF candle closes, this yellow box locks in place, showing the exact price zone that saw the highest volume accumulation during that period, calculated using precise LTF hlc3 price data. ⚙️ Key Settings & Configuration To get the most out of this indicator, check these inputs in the settings menu: Box Time Interval: Set this to your desired HTF (e.g., "1H", "4H", "D"). Tip: A good rule of thumb is an HTF that is 5x to 12x higher than your current chart. POC Resolution (Levels): This is your fine-tuning dial. Set to 50 - 100: Creates a very thin, precise POC line. Great for exact support/resistance levels. Set to 15 - 35: Creates a thicker POC "Zone". Great for capturing broader areas of high liquidity. Max Historical Boxes: Controls how far back the indicator draws. Keep this at 50 for a clean chart and fast loading times. 📈 Trading Strategies: How to Trade the HTF POC 1. The "Magnet" Mean Reversion High volume nodes (POCs) act as price magnets. If the current LTF price is far away from the previous HTF candle's POC, look for setups that trade back toward that yellow box. 2. The Break & Retest The POC box acts as a heavy Support/Resistance wall. If price breaks through the yellow POC box with strong momentum, look to enter on the retest of that box in the direction of the breakout. 3. Trend Continuation In a strong uptrend, look for the current LTF price to bounce off the Midline or the previous candle's POC to join the dominant HTF trend. ⚡ Performance Note This indicator uses advanced Pine Script Array Management. Unlike standard volume profile scripts that crash when calculating big timeframes, this indicator guarantees zero lag and no disappearing boxes, even when looking at a Daily HTF on a 1-Minute chart. 🙏 Credits This is a refactored and heavily optimized fusion of two great concepts: Original HTF Box logic by © krollo041 Original Volume Thermometer concept by © ChartPrime Merged, debugged, and optimized for v6 Array Management by ©Luki_eR Disclaimer: This script is for educational and informational purposes only and does not constitute financial advice.

Penunjuk Pine Script®

Stabilized HMA Scalper Stabilized HMA Scalper / Stab. HMA 2.0 Stabilized HMA Scalper is a visual trend-structure overlay indicator designed to highlight directional momentum, trend alignment, and market state through a combination of adaptive moving averages and contextual visual cues. The indicator blends a Hull Moving Average (HMA) for responsiveness with an ALMA-based baseline filter to stabilize trend interpretation and reduce noise. The result is a clean, visually expressive framework for reading market structure directly on the price chart. Core Design Philosophy This script is built around trend confirmation and state visualization, not prediction or automation. All elements are calculated on confirmed bar closes and do not repaint. The indicator focuses on three analytical dimensions: 1. Dual Moving Average Structure Hull Moving Average (HMA) Acts as the primary momentum curve. Designed for fast reaction to directional changes. Slope behavior is used to infer momentum expansion or contraction. ALMA Baseline Filter Provides a stabilizing reference for broader trend context. Helps distinguish directional movement from short-term fluctuations. Used as a structural filter rather than a trigger mechanism. 2. Trend State Visualization When HMA slope and price position relative to the ALMA baseline align, the indicator visually highlights the active market state: Bullish alignment: upward momentum with supportive structure Bearish alignment: downward momentum with confirming structure Neutral / range: mixed conditions or transitional phases A dynamic gradient fill between HMA and ALMA visually reinforces this alignment, offering an immediate understanding of trend strength and continuity. 3. Visual Markers & Labels Discrete chart markers may appear at moments when momentum structure transitions into a new aligned state. These markers are contextual annotations, intended to draw attention to changes in trend conditions rather than to provide standalone decisions. They are based solely on historical price data and are fully non-repainting. Dashboard An optional on-chart dashboard summarizes the current market state classification (Bullish / Bearish / Range) based on the internal trend logic. Position and size are fully configurable. Designed for at-a-glance situational awareness. Reflects the same logic used in the chart visuals. Usage Disclaimer This indicator is provided for technical analysis and educational purposes only. It does not generate financial advice or guarantee outcomes and should be used as part of a broader analytical workflow.

Penunjuk Pine Script®

Optimal Day Trading System 🚥 How to Trade with ODTS The indicator provides visual cues on the chart (triangles) and a real-time Status Table to help you make decisions. Signal Definitions Buy Signal (Green Triangle): Price is above the Sunya line and the Primary Cycle is trending up. Strong Buy (Lime Triangle): All criteria are met, plus the Secondary Cycle has also turned bullish. This indicates "confluence". Sell Signal (Red Triangle): Price is below the Sunya line and the Primary Cycle is trending down. Strong Sell (Maroon Triangle): Both Primary and Secondary cycles are aligned with a price break below the Sunya line. Real-Time Status Table Located at the top right, this table gives you an instant "health check" of the current asset: Price > Sunya: Confirms if the current price is above or below the FLD. Cycle Dir: Shows the slope of the primary trend. Position: Tells you if price is "Inside" the envelope (ranging) or "Above/Below" (overextended). 📈 Best Practices Confluence is Key: The strongest trades occur when the Signal column in the table shows "STRONG BUY" or "STRONG SELL," meaning multiple cycles are in agreement. Envelope Extremes: If the Status Table shows the Position as "ABOVE" or "BELOW" the envelope, be cautious about entering new trades, as the price may be overextended and due for a reversion to the Basis (mean). Timeframe Synergy: Use the 15-minute timeframe for swing trade entries and the 1-minute or 5-minute for precise day trading executions.

Penunjuk Pine Script®

Smart Trader, Episode 03, by Ata Sabanci, Candles and Tradelines A volume-based multi-block analysis system designed for educational purposes. This indicator helps traders understand their current market situation through aggregated block analysis, volumetric calculations, trend detection, and an AI-style narrative engine. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DESIGN PHILOSOPHY: CLEAN CHART, RICH DASHBOARD Traditional indicators often clutter charts with dozens of support/resistance lines, making it difficult to see price action clearly. This indicator takes a different approach: The Chart: Displays only the most meaningful, nearest levels (1 up, 1 down) that have not been consumed by price. This keeps your chart clean and focused on what matters right now. The Dashboard: Contains all detailed metrics, calculations, and analysis. Instead of drawing 20 lines on your chart, you get comprehensive data in an organized table format. Why this approach? • A clean chart allows you to see price action without visual noise • Fewer but more meaningful levels help focus attention on immediate reference points • The dashboard provides depth without sacrificing chart clarity • Beginners can learn chart reading with an uncluttered view while accessing detailed analysis when needed ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. BLOCK SEGMENTATION What it does: Divides the analysis window into fixed-size blocks. Each block contains multiple bars that are analyzed as a single unit. Why: Individual bars contain noise. A single red candle in an uptrend might cause unnecessary concern, but when you view 5-10 bars as one block, the overall direction becomes clear. Block segmentation filters out bar-to-bar noise and reveals the underlying structure. Benefit: • Clearer view of market structure at a higher aggregation level • Enables comparison between time periods (Block 1 vs Block 2 vs Block 3) • Creates the foundation for composite candles and trend detection • Reduces emotional reaction to single-bar movements ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2. COMPOSITE CANDLES (FRACTAL CONCEPT) What it does: Each block generates a "ghost candle" representing aggregated OHLC: • Open: First bar's open in the block • High: Highest high across all bars in the block • Low: Lowest low across all bars in the block • Close: Last bar's close in the block Why: This is essentially a FRACTAL view of the market. The same candlestick patterns that appear on a daily chart also appear on hourly charts, and on 5-minute charts. By aggregating bars into composite candles, you create a synthetic higher timeframe view without changing your actual timeframe. Benefit: • See higher timeframe patterns while staying on your preferred timeframe • Identify block-level candlestick patterns (Doji, Hammer, Marubozu, Engulfing, etc.) • Compare composite candle relationships: Does Block 1 engulf Block 2? Is Block 1 an inside bar relative to Block 2? • Recognize patterns that individual bars obscure due to noise Fractal Nature: A hammer pattern means the same thing whether it appears on a 1-minute chart or a weekly chart: price tested lower levels and was rejected. Composite candles let you see these patterns at your chosen aggregation level, providing a multi-scale view of market behavior. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3. VOLUME ENGINE What it does: This indicator is 100% VOLUME-BASED. It separates total volume into buying volume and selling volume using two methods: Method 1 - Geometric (Approximation): • Buy Volume = Total Volume × ((Close - Low) / Range) • Sell Volume = Total Volume × ((High - Close) / Range) Method 2 - Intrabar LTF (Precise): Uses actual tick-level or lower timeframe data to determine real buy/sell distribution. Why: Raw volume tells you HOW MUCH was traded, but not WHO was aggressive. A large volume bar could mean heavy buying, heavy selling, or both. By separating buy and sell volume, you can identify which side is driving the market. Benefit: • Identify whether buyers or sellers are more aggressive • Detect when volume contradicts price direction (divergence) • Measure accumulation (buying into weakness) vs distribution (selling into strength) • Quantify the delta (buy minus sell) to see net pressure Why Delta Matters: If price is rising but delta is negative, sellers are actually more aggressive despite the price increase. This divergence often precedes reversals because the price movement lacks volume confirmation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4. PIN ANALYSIS (WICK MEASUREMENT) What it does: Calculates average upper pin (wick) and lower pin sizes for each block, then tracks how these change across consecutive blocks. Why: Upper pins represent price levels that were tested but rejected by sellers. Lower pins represent price levels that were tested but rejected by buyers. The size and direction of pins reveal rejection strength at specific price zones. Benefit: • Large upper pins = strong selling pressure at higher levels • Large lower pins = strong buying support at lower levels • Increasing upper pins across blocks = intensifying selling pressure • Decreasing lower pins across blocks = weakening buying support Why Track Pin Changes: Pin behavior often changes before price direction changes. If lower pins are shrinking while price is still rising, the buying support that was defending dips is weakening. This is observable data, not prediction. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5. TREND CHANNEL DETECTION What it does: Identifies trend direction using block-level price structure: • UPTREND: Block highs are higher than previous block highs, AND block lows are higher than previous block lows (HH/HL pattern) • DOWNTREND: Block highs are lower than previous block highs, AND block lows are lower than previous block lows (LH/LL pattern) • RANGE: No consistent directional pattern Once detected, the system draws upper and lower channel boundaries by connecting extreme points within each trend segment. Why: HH/HL and LH/LL are the classical definitions of trend. By applying this logic to composite candles (blocks) rather than individual bars, the trend detection becomes more stable and less prone to whipsaws from single-bar noise. Benefit: • Clear visual boundaries showing the current trend channel • Upper channel line = dynamic resistance based on actual price structure • Lower channel line = dynamic support based on actual price structure • Channel angle indicates trend strength (steeper = stronger) • Channel width indicates volatility Why Lock Trend States: Once a block's trend classification is determined, it locks and does not change on subsequent recalculations. Without locking, the same block could flip between UP and DOWN repeatedly, creating inconsistent analysis. Locking ensures stability. Why Project Lines Forward: Channel lines can be projected into the future to show where support/resistance would be if the current trend continues at the same angle. This is not a prediction; it is a visual reference showing the trend's trajectory. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6. CORE LEVELS: POC, MAX BUY, MAX SELL What it does: Identifies key price levels within each block based on volume data: POC (Point of Control): The price level where the highest total volume occurred within the block. MAX BUY Level: The bar with the highest buying volume. The HIGH of this bar marks the level. MAX SELL Level: The bar with the highest selling volume. The LOW of this bar marks the level. MIN BUY/SELL Levels: Optional levels showing where minimum buy/sell volume occurred. Why: High volume at a specific price means many participants entered positions there. These participants have a vested interest in that price level. If price returns to that area, those same participants may act to defend their positions. Benefit: • POC acts as a volume-based magnet; price tends to revisit high-volume areas • MAX BUY level shows where buyers committed most aggressively • MAX SELL level shows where sellers committed most aggressively • These levels are based on actual transaction data, not arbitrary calculations Why Consumed Levels Disappear: When price crosses through a level, that level has been "tested." Keeping consumed levels on the chart creates visual clutter and suggests they are still relevant when they may no longer be. Removing them keeps focus on levels that have not yet been tested. Why Show Only Nearest Levels: If you have 20 blocks, you could have 60+ potential levels (POC, MAX BUY, MAX SELL for each). Displaying all of them makes the chart unreadable. Showing only the nearest untested level above and below current price keeps the chart clean while providing immediate reference points. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7. QUALITY SCORE AND TREND INTELLIGENCE What it does: Calculates a quality score (0-100) for the current trend based on multiple factors: • Angle steepness (stronger trends have steeper angles) • Delta consistency (does volume support the trend direction?) • Volume momentum (is participation increasing or decreasing?) • Body expansion (are candle bodies growing or shrinking?) • Pin alignment (do pins support the trend direction?) • Contradiction count (how many factors disagree?) Why: Not all trends are equal. A trend with consistent volume support, expanding bodies, and aligned pins is healthier than a trend with contradicting signals. The quality score quantifies this. Benefit: • HIGH quality (80+): Multiple factors confirm the trend • MEDIUM quality (60-79): Some factors confirm, some neutral • LOW quality (below 60): Multiple contradictions exist • Strength rating based on channel angle: VERY STRONG, STRONG, MODERATE, WEAK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8. NARRATIVE ENGINE What it does: Generates a text-based market analysis by synthesizing all calculated data into readable sentences. How it works: 1. Analyzes current candle: pattern type (Doji, Hammer, Marubozu, etc.), body/wick ratios, range vs ATR 2. Analyzes composite candle: Block 1 pattern and relationship to Block 2 (Engulfing, Inside, Outside) 3. Evaluates trend context: direction, duration, quality, transitions 4. Examines volume data: delta, dominance, momentum direction 5. Checks proximity to key levels: channel boundaries, POC, core levels 6. Identifies divergences: when price and volume directions contradict 7. Produces a coherent narrative describing the current situation Why: Numbers and charts require interpretation. The narrative engine translates calculated data into plain language, helping traders understand what the data means in context. This is especially valuable for beginners learning to read charts. Benefit: • Synthesizes multiple data points into a coherent story • Explicitly flags divergences and contradictions • Describes the current situation without making predictions • Educational: shows how different factors relate to each other What the Narrative Does NOT Do: The narrative describes what IS, not what WILL BE. It does not predict future price movement. It reports the current candle pattern, the current trend state, the current volume situation, and the current proximity to levels. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9. SMART DASHBOARD What it does: Displays all metrics in an organized table with multiple sections. Sections: • Volume Engine: Calculation method, data availability, current candle buy/sell/delta • Trend Volumetrics: Aggregated buy/sell/delta across the current trend, trend type • Pressure and Momentum: Average pins, pin change percentages, body expansion status • Trend Channel Boundaries: Upper/lower levels with exact prices, distances, percentages • Trend Intelligence: Quality score, confidence level, strength rating, volume momentum Why: All the detailed calculations need to live somewhere without cluttering the chart. The dashboard provides comprehensive data in a structured format. Benefit: • All metrics in one place • Organized by category for easy reference • Hover over any label to see a tooltip explaining that metric • No need to draw dozens of lines on the chart TIP: Hover over dashboard headers and labels to see tooltips explaining each metric. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10. LANGUAGE SUPPORT The indicator supports three languages: • English • Türkçe (Turkish) • हिन्दी (Hindi) Why only three languages? Each additional language requires duplicate strings throughout the code, increasing memory usage and compilation time. To keep the script optimized and responsive, language options are limited to these three. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11. DATA ACCURACY AND LIMITATIONS This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations. DATA ACCURACY LEVELS: • 1T (Tick): Most accurate, real volume distribution per tick • 1S (1 Second): Reasonably accurate approximation • 15S (15 Seconds): Good approximation, longer historical data available • 1M (1 Minute): Rough approximation, maximum historical data range BACKTEST AND REPLAY LIMITATIONS: • Replay mode results may differ from live trading due to data availability • For longer backtest periods, use higher LTF settings (15S or 1M) • Not all symbols/exchanges support tick-level data • Crypto and Forex typically have better LTF data availability than stocks A NOTE ON DATA ACCESS: Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable calculations. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12. SETTINGS OVERVIEW Main Settings: • Window Bars: Total bars to analyze • Group Count: Number of blocks to create • Calculation Basis: Current bar (live updates) or Closed bar (stable, no repaint) Block Analytics: • Show Composite Candle: Toggle ghost candles on/off • Composite Candle Transparency: Adjust visibility • Dim Original Candles: Fade original candles when composites are shown Volume Engine: • Calculation Method: Geometric (approx) or Intrabar (precise) • Lower Timeframe: Select LTF for intrabar calculations Multi-Segment Trend: • Enable Trend Detection: Toggle trend channels on/off • Range Angle Threshold: Angle below which trend is classified as RANGE • Line colors, width, and style • Project to Future: Extend trend lines forward Core Calculation: • Enable Core Calculation: Toggle POC and core levels • Show POC Nearest Up/Down: Display nearest untested POC levels • Include MAX/MIN Buy/Sell Levels: Toggle extremes display • Nearest Only: Show only the closest level above and below price Market Narrative: • Enable Market Narrative: Toggle narrative text • Language selection • Show Educational Disclaimer: Toggle disclaimer in dashboard ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EDUCATIONAL PURPOSE This indicator is designed to help traders: 1. Understand their current market situation at a glance 2. Learn chart reading through block analysis and composite candles 3. See how volume relates to price movement 4. Recognize when technical factors align or contradict 5. Focus on meaningful levels without chart clutter Whether you are a beginner learning to read charts or an experienced trader seeking a cleaner analytical view, this tool provides structured data to support your analysis. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ IMPORTANT DISCLAIMER This indicator is for EDUCATIONAL PURPOSES ONLY and does not constitute investment advice. Always conduct your own research and consult with a qualified financial advisor before making investment decisions. This disclaimer is also displayed within the indicator itself. If you prefer a cleaner chart, you can disable it in Settings under Market Narrative by unchecking Show Educational Disclaimer.

Penunjuk Pine Script®

oleh ata_sabanci

Telah dikemas kini

Smart Trader, Episode 02, by Ata Sabanci | Battle of Candles ⚠️ CRITICAL: READ BEFORE USING ⚠️ This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations. Please understand the following limitations before using: 📊 DATA ACCURACY LEVELS: • 1T (Tick) — Most accurate, real volume distribution per tick • 1S (1 Second) — Reasonably accurate approximation • 15S (15 Seconds) — Good approximation, longer historical data available • 1M (1 Minute) — Rough approximation, maximum historical data range ⚠️ BACKTEST & REPLAY LIMITATIONS: • Replay mode results may differ from live trading due to data availability • For longer back test periods, use higher LTF settings (15S or 1M) • Not all symbols/exchanges support tick-level data • Crypto and Forex typically have better LTF data availability than stocks 💡 A NOTE ON TOOLS: Successful trading requires proper tools. Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable signals. Consider this when evaluating your trading infrastructure. 📌 OVERVIEW Smart Trader Episode 02: Battle of Candles is an advanced educational indicator that combines multiple analysis engines to help traders identify market scenarios and understand market dynamics. This is NOT financial advice or a trading signal service — it's a learning tool designed to help you understand how institutional traders might interpret price action. The indicator integrates 7 major analysis engines into a unified dashboard, providing real-time insights into volume flow, trend structure, market phases, and potential trade setups. ⚡ KEY FEATURES 🎯 16-Pattern Scenario Engine Automatically detects and classifies market conditions into 16 distinct scenarios, from strong continuation moves to potential reversals and traps. 💰 Trade Advisor Panel Aggregates all signals into actionable suggestions with confidence levels, suggested entry/SL/TP levels, and risk/reward calculations. 📊 Volume Engine Splits volume into buy/sell components using either Geometry (candle shape) or Intrabar (LTF data) methods for precise delta analysis. 📈 CVD (Cumulative Volume Delta) Tracks the running total of buying vs selling pressure to identify accumulation, distribution, and divergences. 🎯 Stop-Hunt Detection Identifies potential stop-hunt patterns where price sweeps liquidity levels before reversing. 📐 Pure Structure Trend Engine Zero-lag trend detection based on swing highs/lows (HH/HL/LH/LL) without any lagging indicators. ⚡ Effort vs Result Analysis Measures energy spent (volume) versus ground taken (price movement) to detect stalls, breakthroughs, and exhaustion. 🎯 SCENARIO ENGINE — 16 Market Patterns The Scenario Engine analyzes multiple factors (candle anatomy, volume, forces, CVD, wick analysis) to classify each candle into one of 16 scenarios: Continuation Scenarios (1-3) 1. ⚔️ STRONG MOVE — Big body candle (>60%) with volume confirming direction. Indicates strong momentum continuation. 2. 🛡️ ABSORPTION — One side attacks but the other absorbs the pressure. Price holds despite volume. Continuation expected in the absorbing side's favor. 3. 📉 PULLBACK — Small move against the trend with low volume. Indicates a healthy retracement before trend continuation. Reversal Scenarios (4-6, 13-16) 4. 💥 REJECTION — Big wick (>40%) with small body and high volume. Price was rejected at a level, potential reversal. 5. 🪤 TRAP — Pin direction disagrees with delta. Extreme wick size. Looks bullish/bearish but the opposite may happen. 6. 😫 EXHAUSTION — High energy spent (volume) but low ground taken (price movement). Both sides active but momentum fading. 13. 🔄 CVD BULL DIV — Price falling but CVD rising. Hidden buying detected (accumulation). Potential bullish reversal. 14. 🔄 CVD BEAR DIV — Price rising but CVD falling. Hidden selling detected (distribution). Potential bearish reversal. 15. 🎯 STOP HUNT BULL — Shorts were liquidated below support. Price swept liquidity and reversed. Expect bullish move. 16. 🎯 STOP HUNT BEAR — Longs were liquidated above resistance. Price swept liquidity and reversed. Expect bearish move. Range/Stalemate Scenarios (7-9) 7. ⚖️ DEADLOCK — Market in balance. Force ratio between 0.4-0.6. Low volume. No side winning. 8. 🔥 BATTLE — High volume fight in a range. Both sides attacking. Wicks on both ends of candle. 9. 🎯 WAITING — Building phase with quiet volume. Market is preparing but no trigger yet. Wait for breakout. Pre-Breakout Scenarios (10-12) 10. 🚀 BULL SETUP — Buyers accumulating in a building phase. Positive delta building. Bullish pressure growing. 11. 💣 BEAR SETUP — Sellers distributing in a building phase. Negative delta building. Bearish pressure growing. 12. ⚡ BREAKOUT — Price at boundary with strong candle and volume supporting. Imminent breakout expected. 💰 TRADE ADVISOR ENGINE The Trade Advisor aggregates all signals from the different engines into a single actionable output. It uses a weighted scoring system: Scoring Weights: • Scenario Signal: 30% • Trend Alignment: 20% • CVD Momentum: 15% + Divergence Bonus • Pin Forces: 15% • Liquidity Sweep: 12% • Stop-Hunt Detection: 10% • Effort vs Result: 10% Possible Actions: • ⏳ WAIT — Edge not strong enough (stay patient) • 🟢 LONG ENTRY — Buyers have strong advantage + signals align • 🔴 SHORT ENTRY — Sellers have strong advantage + signals align • ⚠️ CLOSE LONG/SHORT — Position at risk (reversal/trend flip) • 🛑 STOP LOSS — Price hit risk threshold • 💰 TAKE PROFIT — Target threshold reached 📊 EXTENDED INFO PANEL (Detailed Explanations) The Extended Info panel is hidden by default (toggle: Show Extended Info in settings). It provides detailed metrics that feed into the main engines: CVD ANALYSIS What is CVD? Cumulative Volume Delta (CVD) is the running total of Buy Volume minus Sell Volume. It reveals the underlying buying/selling pressure that may not be visible in price alone. CVD Value & Slope: • ↗ Rising: CVD increasing = net buying pressure (bullish) • ↘ Falling: CVD decreasing = net selling pressure (bearish) • → Flat: No clear pressure direction Accumulation vs Distribution: • Accumulation %: Shows buying pressure strength (0-100). High accumulation with CVD rising = strong bullish bias. • Distribution %: Shows selling pressure strength (0-100). High distribution with CVD falling = strong bearish bias. Divergence Alerts: • ⚠️ BULLISH DIVERGENCE: Price falling but CVD rising. Hidden buying = potential reversal UP. • ⚠️ BEARISH DIVERGENCE: Price rising but CVD falling. Hidden selling = potential reversal DOWN. WICK ANALYSIS Wick Torque: Torque measures the "rotational force" from wicks. It's calculated from wick length, volume, and body efficiency. • Positive Torque (Bullish): Bottom wick power dominates. Buyers defended lower prices. • Negative Torque (Bearish): Top wick power dominates. Sellers defended higher prices. • ⚡ High Torque (>30): Strong signal, significant wick rejection occurred. Stop-Hunt Detection: The engine detects when price has likely swept stop-losses clustered at key levels: • Stop Hunt Risk %: Likelihood score (0-100). Above 55% = confirmed hunt. • "Shorts hunted": Price swept below support, liquidating shorts, expect bounce UP. • "Longs hunted": Price swept above resistance, liquidating longs, expect drop DOWN. LIQUIDITY SWEEPS This section appears only when a liquidity sweep is detected. The engine monitors for price sweeping recent highs/lows and then reversing: • 🎯 LIQUIDITY SWEPT ABOVE: Price broke recent highs but closed back below. Longs trapped, expect DOWN. • 🎯 LIQUIDITY SWEPT BELOW: Price broke recent lows but closed back above. Shorts trapped, expect UP. POWER BALANCE The Power Balance meter shows the real-time strength comparison between buyers and sellers. Force Ratio: • 0% = Complete seller dominance • 50% = Perfect balance • 100% = Complete buyer dominance Visual Bar: • Left side (▓): Bear territory • Right side (▓): Bull territory • The bar is smoothed over recent history to reduce noise. EFFORT vs RESULT This section measures the efficiency of price movement relative to volume expended. Energy: How much volume was spent relative to the average. Energy > 1.0x means above-average volume activity. Ground: How much price movement occurred relative to average range. Ground > 1.0x means above-average price movement. STALL Warning: A STALL is detected when high energy is spent but low ground is taken (high effort, low result). This often indicates institutional battle, exhaustion, or imminent reversal. MARKET PHASE The Phase Engine classifies the current market regime: RANGE : No clear trend. Price confined to middle of channel. Low ADX. Balanced forces. Trade breakouts with caution. BUILDING : Compression/preparation phase. Channel tightening or boundary penetration without follow-through. Watch for breakout direction. TRENDING : Active directional move. Clear slope, good efficiency, price on trending side of channel. Favor pullback entries. Strength: 0-100% score combining slope, volume validity, and force/efficiency filters. Bars: How many candles the current phase has persisted. TRACK RECORD (Validation Panel) Enable with Show Validation Panel in settings. This section tracks the historical accuracy of scenario predictions: Accuracy: Percentage of validated predictions that were correct. Best/Worst Scenario: Shows which scenarios have the highest and lowest accuracy on the current symbol. Recent Signals: Last 5 predictions with their outcomes. ✓ = correct, ✗ = wrong, ⏳ = pending validation. ⚙️ SETTINGS GUIDE 📊 Volume Analysis Volume Calculation: Choose Geometry (estimates from candle shape) or Intrabar (precise LTF data). Intrabar Resolution: LTF for precise mode. Try 1S, 15S, or 1T. Must be lower than chart timeframe. History Depth: Candles stored in memory (5-50). Higher = more context, slower. Memory Lookback: Bars for moving averages and Z-scores (10-100). 🏷️ Market Phase Range Zone Width: How much of channel center is considered "range" (0.1-0.8). Trend Sensitivity: Minimum slope to detect trending. Lower = more sensitive. Min Episode Length: Minimum bars before phase can change. Prevents flickering. 🎯 Scenarios Min Confidence to Show: Only display scenarios above this confidence level (30-90). Bars to Validate: How many bars to wait before checking if prediction was correct. Success Move %: Minimum price movement to consider prediction successful. 💰 Trade Advisor Min Confidence for Entry: Minimum confidence to suggest a trade entry (50-90). Default Risk %: Stop loss distance as % of price (0.5-5.0). Min Risk/Reward: Minimum acceptable R:R ratio (1.0-5.0). 🔔 ALERT CONDITIONS The indicator provides the following alert conditions you can configure: • 🟢 LONG Entry Signal • 🔴 SHORT Entry Signal • ⚠️ Close LONG Signal • ⚠️ Close SHORT Signal • 🛑 STOP LOSS Alert • 💰 Take Profit Alert • 🚨 High Urgency Signal ⚠️ IMPORTANT DISCLAIMER EDUCATIONAL TOOL ONLY This indicator is designed for educational purposes to help users identify different market scenarios and understand how various signals might be interpreted. The Trade Advisor is NOT a recommendation to buy, sell, or invest. • Past performance does not guarantee future results • All trading involves risk of loss • The creator is not a licensed financial advisor • Always do your own research (DYOR) • Consult a qualified financial advisor before making any investment decisions By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions.

Penunjuk Pine Script®

oleh ata_sabanci

EMA Exhaustion + Continuation A fast, mechanical scalping system that detects EMA exhaustion, filters with RSI, and manages exits plus continuations. This indicator is designed for ultra‑short timeframe scalping, where speed and clarity matter more than anything else. It combines three core elements into one mechanical workflow: - EMA Spread Exhaustion The system measures the distance between fast and slow EMAs relative to ATR. When the spread reaches extreme levels and then begins to contract, it signals exhaustion — the point where momentum is likely to stall or reverse. This gives traders a structural way to identify setups without relying on subjective “feel.” - RSI Filter (Accelerated for Scalping) A shortened RSI (default length 7) is normalized by ATR to match the tempo of 15‑second scalps. This filter ensures that entries only trigger when momentum aligns with the exhaustion signal, reducing false positives and keeping trades in sync with volatility. - Entry, Exit, and Continuation Logic - Entries: - Long entry triggers when spread retreats, EMA‑3 crosses price, and RSI confirms bearish exhaustion (RSI < 0). - Short entry triggers under the opposite conditions (spread retreat, EMA‑3 cross, RSI > 0). - Icons: Blue arrow up for longs, Red arrow down for shorts. - Exits: - Long exits occur when price closes below the 7 EMA smoothed by SMA‑2 while all EMAs are still sloping upward. - Icon: Yellow cross above the candle. - Continuations: - Long continuation triggers when price dips below EMA‑9 and then reclaims above it. - Short continuation triggers when price closes above EMA‑9 and then reclaims below it. - Icons: Green triangle up for long continuation, Purple triangle down for short continuation. ---------------------------------------------------------------------------------------- - Apply the indicator to your chart. I use 15 second chart - Watch for blue/red arrows — these are your primary entry signals. - Respect yellow crosses — they mark mechanical exit points. - Use green/purple triangles to re‑engage continuation trades after shallow pullbacks. I only take the first continuation signal above/below the 20 EMA. - Keep the RSI filter active to avoid chasing false setups. - Combine with your risk management rules (position sizing, stop placement) for full system integrity.

Penunjuk Pine Script®

oleh ChannelFisher

EMA Spread Exhaustion Detector EMA Spread Exhaustion – Reversal Scalper's Tool Identifies trend exhaustion for high-probability counter-trend entries. Triggers when EMA(4/9/20) stack is fully aligned and spread stretches beyond ±ATR threshold. Ideal confluence for TDI hooks + strong rejection candles on 15s charts. Visual markers, fills, and alerts for quick scalps.

Penunjuk Pine Script®

oleh ChannelFisher

Smart Trader,Episode 1, by Ata Sabanci | Unified Matrix ⚠️ **CRITICAL: READ BEFORE USING** ⚠️ This strategy is **100% VOLUME-BASED** and requires **Lower Timeframe (LTF) intrabar data** for accurate calculations. Please understand the following limitations before using: **📊 DATA ACCURACY LEVELS:** • **1T (Tick)** — Most accurate, real volume distribution per tick • **1S (1 Second)** — Reasonably accurate approximation • **15S (15 Seconds)** — Good approximation, longer historical data available • **1M (1 Minute)** — Rough approximation, maximum historical data range **⚠️ BACKTEST & REPLAY LIMITATIONS:** • TradingView's Strategy Tester uses historical LTF data which may be limited depending on your subscription plan • Replay mode results may differ from live trading due to data availability • For longer backtest periods, use higher LTF settings (15S or 1M) • Not all symbols/exchanges support tick-level data • Crypto and Forex typically have better LTF data availability than stocks **💡 A NOTE ON TOOLS:** Successful trading requires proper tools. Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable signals. Consider this when evaluating your trading infrastructure. **WHY "EPISODE 1"?** This strategy is titled "Episode 1" because it focuses exclusively on **Highest Buyers (HB)** — a single but powerful concept in volume analysis. **The Philosophy:** A single high-volume buying event can tell us a story about market psychology: • Where did the biggest buyers enter? • How much of their power remains? • Are sellers consuming their advantage? • At what rate is the balance shifting? By focusing on just ONE aspect of volume analysis, traders can deeply understand how a buying surge affects future price action before moving to more complex multi-factor analysis. **The Reality:** This script alone is approximately **2000 lines of code** — and it only analyzes buyers. A comprehensive system covering all aspects (sellers, combined analysis, multi-timeframe correlation) would be significantly larger and computationally heavier. Breaking this into focused modules allows for: • Deeper understanding of each component • Lighter, more responsive scripts • Educational progression from simple to complex **OVERVIEW** Smart Trader EP1 is a volume-based trading strategy that tracks the balance of power between buyers and sellers through the lens of the **Highest Buyers event**. Unlike traditional indicators that rely on price patterns or mathematical formulas, this strategy analyzes *actual volume flow* to identify who is in control of the market. The core philosophy is simple: **markets move when one side (buyers or sellers) exhausts their power while the opposing side accumulates strength.** By measuring this power shift in real-time, the strategy identifies high-probability entry and exit points. **HOW IT WORKS** **1. Volume Engine** The strategy splits each candle's volume into buying volume and selling volume using intrabar data. In *Intrabar (Precise)* mode, it uses actual tick-by-tick or second-by-second data to calculate the exact buy/sell distribution. In *Geometry* mode, it approximates based on candle structure (close position within the range). **2. Event Detection** Within the lookback window, the strategy identifies key events: • **HB (Highest Buyers)** — The candle with maximum buying volume (potential resistance when exhausted) • **HS (Highest Sellers)** — The candle with maximum selling volume (potential support when exhausted) • **LB (Lowest Buyers)** — The candle with minimum buying volume (buyer absence) • **LS (Lowest Sellers)** — The candle with minimum selling volume (seller absence) These events create dynamic support and resistance levels based on actual volume, not arbitrary price levels. **3. Power Tracking (Attrition Model)** For the Highest Buyers event (HB), the strategy tracks: • **Start Power (X)** — The initial buying volume at the HB event • **Consumed Power (Y)** — How much selling volume has accumulated since the event • **Remaining Power (Z)** — Start Power minus Consumed Power (X - Y) • **Opponent Dominance** — When Remaining Power goes negative (Z < 0), sellers have overtaken buyers Think of it like a battle: buyers establish a position (HB), and sellers gradually consume their power. When buyers' power is exhausted (Remaining Power ≤ 0), sellers have taken control. **4. Depletion Markers** Visual markers appear on the chart when power reaches critical thresholds: • **🔋** — Buyers consumed 100% (Remaining = 0) • **🚨** — Buyers consumed 200% (Opponent Dominance = 100%) • **🪫** — Sellers consumed 100% • **⚠️** — Sellers consumed 200% **5. Cumulative Delta** Beyond tracking power at specific events, the strategy calculates the cumulative buy volume minus sell volume since the HB event. This shows the *net flow* of money: • **Positive Delta** — More buying than selling since HB (bullish pressure) • **Negative Delta** — More selling than buying since HB (bearish pressure) **6. Trend Channel** A 5-point linear regression channel identifies the current trend: • **UPTREND** — Both upper and lower channel lines slope upward • **DOWNTREND** — Both lines slope downward • **RANGING** — Mixed or flat slopes The strategy also tracks where the HB event occurred within this channel (TOP, UPPER, MIDDLE, LOWER, BOTTOM) to contextualize the signal. **7. Nearest Event Analysis** The strategy identifies which event is closest to the current candle and analyzes the price action *after* that event: • How many bullish vs bearish candles followed? • Does post-event momentum confirm or contradict the event type? This prevents false signals when, for example, a bearish event occurs but is immediately followed by strong bullish candles. **SIGNAL LOGIC** **🟢 LONG Signal Conditions:** • Uptrend with positive cumulative delta and buyers accumulating • At channel bottom/lower with strong buyer power remaining • After a bearish event (HS) with bullish post-event momentum (reversal signal) • Ranging market with positive delta and strong power **🔴 SHORT Signal Conditions:** • Downtrend with negative cumulative delta and sellers in control • Opponent Dominance (buyer power exhausted) with bearish momentum • Buyer Trap: HB at TOP in uptrend but power exhausted and delta negative • After a bullish event (HB) with bearish post-event momentum (trap signal) **⏳ NO_TRADE Conditions:** • Conflicting signals (e.g., bearish event but bullish post-momentum) • Ranging market without clear direction • Mixed power readings • Price position contradicts signal direction **STRATEGY EXECUTION** **Entry Rules:** • Enter LONG when signal is "LONG" and conditions are valid • Enter SHORT when signal is "SHORT" and conditions are valid • **Pyramid**: Up to 2 entries allowed in the same direction (configurable) • Each entry uses 10% of equity by default • Only one entry per confirmed candle (prevents multiple fills) **Stop Loss (Event Line Based):** • **LONG positions**: Stop Loss placed below the HS line (seller support level) • **SHORT positions**: Stop Loss placed above the HB line (buyer resistance level) • A small buffer percentage is added to prevent premature stops **Take Profit (Event Line Based):** • **LONG positions**: Take Profit near the HB line (buyer resistance target) • **SHORT positions**: Take Profit near the HS line (seller support target) • A small buffer percentage ensures realistic fill expectations **Exit Rules:** • Exit LONG when signal changes to SHORT • Exit SHORT when signal changes to LONG • **NO_TRADE signal = HOLD** (do not exit, wait for clear direction) • SL/TP orders remain active regardless of signal changes **SETTINGS GUIDE** **⚙️ General Settings:** • *Calculation Method* — Choose between Intrabar (Precise) or Geometry (approximation) • *Intrabar Resolution* — LTF for volume data (1T, 1S, 15S, 1M) • *Lookback Length* — Window for scanning events (10-150 bars) • *Timezone Offset* — Adjust clock display to your local time **📊 Matrix Display Settings:** • *Show Unified Matrix* — Toggle the information dashboard • *Show Event Lines* — Toggle horizontal lines at event prices • *Panel Size/Position* — Customize dashboard appearance • *Projection Bars* — Extend event lines into the future • *Depletion Threshold* — Percentage for depletion markers (default: 100%) **🏷️ Rank Labels Settings:** • *Show Rank Labels (HB/HS)* — Display labels on highest volume candles • *Show Low Labels (LB/LS)* — Display labels on lowest volume candles • *Ranks Count* — Number of rankings to display (1-5) **📐 Trend Channel Settings:** • *Show Trend Channel* — Toggle the 5-point regression channel • *Line Color/Fill/Width/Style* — Customize channel appearance **🎯 Trade Signal Settings:** • *Long: Min Remaining Power %* — Minimum buyer power for LONG signal (default: 50%) • *Short: Max Remaining Power %* — Maximum power for SHORT signal (default: 30%) • *Opponent Dominance Threshold* — When to consider power "exhausted" (default: 0%) • *Max Decay Angle* — Maximum consumption rate for valid entries (default: 60°) **📈 Strategy Execution Settings:** • *Enable Strategy* — Turn automatic trading on/off • *Allow LONG/SHORT* — Enable or disable specific directions • *Max Pyramid Entries* — Maximum entries in same direction (1-3) • *SL Buffer %* — Distance below/above event line for stop loss (default: 0.15%) • *TP Buffer %* — Distance from event line for take profit (default: 0.05%) **VISUAL ELEMENTS** **Chart Labels:** • **#1 HB** — Highest Buyers (rank label on candle high) • **#1 HS** — Highest Sellers (rank label on candle low) • **#1 LB** — Lowest Buyers (rank label on candle high) • **#1 LS** — Lowest Sellers (rank label on candle low) • **🔋 / 🚨** — Buyer power depletion markers • **🪫 / ⚠️** — Seller power depletion markers **Event Lines:** • **Blue horizontal lines** — HB price levels (buyer entry points) • **Red horizontal lines** — HS price levels (seller entry points) • **Cyan lines** — LB price levels • **Orange lines** — LS price levels • **Dashed extensions** — Projected levels into future bars **Trend Channel:** • **Orange lines** — Upper and lower channel boundaries (5-point regression) • **Orange fill** — Channel area (90% transparency) **Matrix Dashboard (6 rows):** • Row 1: Header with symbol, LTF setting, and local clock • Row 2: Volume snapshot (Total, Buy, Sell, Delta) • Row 3: Column headers • Row 4: Highest Buyers data (Age, Start Power, Consumed, Remaining, Decay, ETA) • Row 5: Highest Sellers data • Row 6: Signal Evaluation (Trend, Zone, Nearest Event, Signal, Reason) **Strategy Markers:** • **Green triangle up** — LONG entry • **Red triangle down** — SHORT entry • **Faded triangles** — Pyramid entries • **Colored lines** — SL (red) and TP (green) levels when in position **BEST PRACTICES** **For Maximum Accuracy:** 1. Use **1T (tick)** or **1S** intrabar resolution when available 2. Trade liquid markets with good volume data (crypto majors, forex majors, high-volume stocks) 3. Use smaller lookback length (20-30) to ensure all bars have valid LTF data 4. Monitor the "Intrabar Valid Bars" counter in the matrix header 5. If you see data warnings, reduce lookback or increase LTF resolution **For Longer Backtests:** 1. Use **15S or 1M** intrabar resolution for more historical data 2. Increase lookback length if needed 3. Understand that accuracy decreases with higher LTF settings 4. Consider using Geometry mode for very long backtests (approximation but always available) **Understanding the Signals:** • Pay attention to the signal *reasoning* shown in the matrix — it explains WHY • **NO_TRADE** means the system sees conflicting factors — respect this caution • Event lines act as dynamic S/R — they update as new volume events occur • Cumulative Delta (Δ) often provides early warning of trend changes **Risk Management:** • The default 10% per entry with max 2 pyramids = 20% maximum exposure • Event-line-based SL/TP provides logical levels based on actual volume events • Always verify signals with your own analysis before trading **INTERPRETING THE MATRIX** **Power Status Examples:** • *Remaining Power: 75%* — Buyers still have most of their strength • *Remaining Power: 25%* — Buyers nearly exhausted, watch for reversal • *Opponent Dominance: -50%* — Sellers have consumed 150% of buyer power (strong bearish) **Decay Angle:** • *Low angle (0-30°)* — Slow consumption, power lasting longer • *High angle (60-90°)* — Rapid consumption, expect quick exhaustion **ETA to Parity:** • Shows estimated bars until Remaining Power reaches zero • *"Overtaken"* with 🚨 means sellers have already dominated **LIMITATIONS & DISCLAIMER** **Technical Limitations:** • Requires sufficient historical LTF data (varies by TradingView plan and symbol) • Intrabar (Precise) mode may show invalid data warnings on symbols with limited history • Strategy tester may not have access to the same LTF data as live trading • Maximum 500 lines and 500 labels (TradingView platform limits) **Important Notes:** • This strategy focuses on **Highest Buyers only** — it does not analyze all market factors • Past performance does not guarantee future results • Volume data quality varies significantly between symbols and exchanges • The strategy's signals are analytical tools, not trading recommendations **Risk Disclaimer:** This strategy is provided for **educational and informational purposes only**. Trading involves substantial risk of loss and is not suitable for all investors. • Always use proper risk management • Never risk more than you can afford to lose • Backtest results may differ significantly from live trading • You are solely responsible for your trading decisions **TECHNICAL SPECIFICATIONS** • Pine Script Version: 6 • Calculation: calc_on_every_tick=true, use_bar_magnifier=true • Default Capital: 10,000 • Default Position Size: 10% of equity • Maximum Lines: 500 • Maximum Labels: 500 • External Library: TradingView/ta/10 (for requestUpAndDownVolume) *Smart Trader EP1 — Understanding Volume, One Event at a Time*

Strategi Pine Script®

oleh ata_sabanci

Telah dikemas kini

Box BO signals v1 Box Breakout Direction Flip Signals is a smart price‐action tool designed to identify clean directional shifts using consolidation boxes and breakout logic. The indicator draws dynamic high–low range boxes and generates Buy (B) and Sell (S) signals only when direction flips, avoiding repeated noise signals during trending moves. ✔ First breakout after box marks direction (Buy or Sell) ✔ Signals alternate: S → B → S → B, never repeating ✔ No signals while price simply continues in same direction ✔ Labels are spaced away from candles for clean visibility ✔ Works best on lower timeframes (1m, 3m, 5m) for scalping / intraday 🎯 How It Works 1️⃣ A consolidation zone forms automatically using candle high–low 2️⃣ Breakout above the box → Buy label → new box begins 3️⃣ Breakout below the box → Sell label → new box begins 4️⃣ Signals print only on actual directional change (flip) 5️⃣ Boxes extend dynamically until breakout occurs

Penunjuk Pine Script®

VWAP + EMA9 With Signals This script is for scalping on the 5 minute timeframe. It contains signals that indicate intersection of VWAP by the EMA9. It contains Buy signals when a candle closes above both lines indicating a quick continuation of a long position (quick scalp) as well as Sell signals when a candle closes below both lines indicating a quick continuation of a short position (quick scalp). Please note that i do not recommend entries at Buy and Sell signals during Accumulation/Consolidation. Positions should be taken with volume.

Penunjuk Pine Script®

oleh tlc_futures_trader

Bollinger Bands Delta Matrix Analytics [BDMA] Bollinger Bands Delta Matrix Analytics (BDMA) v7.0 Deep Kinetic Engine – 5x8 Volatility & Delta Decision Matrix 1. Introduction & Concept Bollinger Bands Delta Matrix Analytics (BDMA) v7.0 is an analytical framework that merges: - Spatial analysis via Bollinger Bands (%B location), - with a 4-factor Deep Kinetic Engine based on: • Total Volume • Buy Volume • Sell Volume • Delta (Buy – Sell) Z-Scores and converts them into an expanded 5×8 decision matrix that continuously tracks where price is trading and how the underlying orderflow is behaving. BDMA is not a trading system or strategy. It does not generate entry/exit signals. Instead, it provides a structured contextual map of volatility, volume, and delta so traders can: - identify climactic extensions vs. fakeouts, - distinguish strong initiative moves vs. passive absorption, - and detect squeezes, traps, and liquidity voids with a unified visual dashboard. 2. Spatial Engine – Bollinger S-States (S1–S5) The spatial dimension of BDMA comes from classic Bollinger Bands. Price location is expressed as Percent B (%B) and mapped into 5 spatial states (S-States): S1 – Hyper Extension (Above Upper Band) Price has pushed beyond the upper Bollinger Band. Often associated with parabolic or blow-off behavior, late-stage momentum, and elevated reversal risk. S2 – Resistance Test (Upper Zone) Price trades in the upper Bollinger region but remains inside the bands. Represents a sustained test of resistance, typically within an established or emerging uptrend. S3 – Neutral Zone (Middle) Price hovers around the mid-band. This is the mean reversion gravity field where the market often consolidates or transitions between regimes. S4 – Support Test (Lower Zone) Price trades in the lower Bollinger region but inside the bands. Represents a sustained test of support within range or downtrend structures. S5 – Hyper Drop (Below Lower Band) Price extends below the lower Bollinger Band. Often aligned with panic, forced liquidations, or capitulation-type behavior, with increased snap-back risk. These 5 S-States define the vertical axis (rows) of the BDMA matrix. 3. Deep Kinetic Engine – 4-Factor Z-Score & D-States (D1–D8) The Deep Kinetic Engine transforms raw volume and delta into standardized Z-Scores to measure how abnormal current activity is relative to its recent history. For each bar: - Raw Buy Volume is estimated from the candle’s position within its range - Raw Sell Volume is complementary to buy volume - Raw Delta = Buy Volume – Sell Volume - Total Volume = Buy Volume + Sell Volume These 4 series are then normalized using a unified Z-Score lookback to produce: 1. Z_Vol_Total – overall activity and liquidity intensity 2. Z_Vol_Buy – aggression from buyers (attack) 3. Z_Vol_Sell – aggression from sellers (defense or attack) 4. Z_Delta – net victory of one side over the other Thresholds for Extreme, Significant, and Neutral Z-Score levels are fully configurable, allowing you to tune the sensitivity of the kinetic states. Using Z_Vol_Total and Z_Delta (plus threshold logic), BDMA assigns one of 8 Deep Kinetic states (D-States): D1 – Climax Buy Extreme Total Volume + Extreme Positive Delta → Buying climax or blow-off behavior. D2 – Strong Buy High Volume + High Positive Delta → Confirmed bullish initiative activity. D3 – Weak Buy / Fakeout Low Volume + High Positive Delta → Bullish delta without commitment, low-liquidity breakout risk. D4 – Absorption / Conflict High Volume + Neutral Delta → Aggressive two-way trade, strong absorption, war zone behavior. D5 – Neutral Low Volume + Neutral Delta → Low-energy environment with low conviction. D6 – Weak Sell / Fakeout Low Volume + High Negative Delta → Bearish delta without commitment, low-liquidity breakdown risk. D7 – Strong Sell High Volume + High Negative Delta → Confirmed bearish initiative activity. D8 – Capitulation Extreme Volume + Extreme Negative Delta → Panic selling or capitulation regime. These 8 D-States define the horizontal axis (columns) of the BDMA matrix. 4. The 5×8 BDMA Decision Matrix The core of BDMA is a 5×8 matrix where: - Rows (1–5) = Spatial S-States (S1…S5) - Columns (1–8) = Kinetic D-States (D1…D8) Each of the 40 possible combinations (SxDy) is pre-computed and mapped to: - a Status or Regime Title (for example: Climax Breakout, Bear Trap Spring, Capitulation Breakdown), - a Bias (Climactic Bull, Neutral, Strong Bear, Conflict or Reversal Risk, and similar labels), - and a Strategic Signal or Consideration (for example: High reversal risk, Wait for confirmation, Low probability zone – avoid). Internally, BDMA resolves all 40 regimes so the current state can be displayed on the dashboard without performance overhead. 5. Key Regime Families (How to Read the Matrix) 5.1. Breakouts and Breakdowns Climax Breakout (Top-side) Spatial S1 with Kinetic D1 or D2 Bias: Explosive or Extreme Bull Signal: - Strong or climactic upside extension with abnormal bullish orderflow. - Trend continuation is possible, but reversal risk is extremely high after blow-off phases. Low-Conviction Breakout (Fakeout Risk) S1 with D3 (Weak Buy, low liquidity) Bias: Weak Bull – Caution Signal: - Breakout not supported by volume. - Elevated risk of failed auction or bull trap. Capitulation Breakdown (Bottom-side) Spatial S5 with Kinetic D8 Bias: Climactic Bear (panic) Signal: - Capitulation-type selling or forced liquidations. - Trend can still proceed, but snap-back or violent short-covering risk is high. Initiative Breakdown vs. Weak Breakdown - Strong, high-volume breakdown typically corresponds to D7 (Strong Sell). - Low-volume breakdown often corresponds to D6 (Weak Sell or Fakeout) with potential for failure. 5.2. Absorption, Traps and Springs Absorption at Resistance (Top-side conflict) S1 or S2 with D4 (Absorption or Conflict) Bias: Conflict – Extreme Tension Signal: - Heavy two-way trade near resistance. - Potential distribution or reversal if sellers begin to dominate. Bull Trap or Failed Auction Typically S1 with D6 (Weak Sell breakdown behavior after a top-side attempt) Indicates a breakout attempt that fails and reverses, often after poor liquidity structure. Absorption at Support and Bear Trap (Spring) S4 or S5 with D4 or D3 Bias: Conflict or Weak Bear – Reversal Risk Signal: - Aggressive buying into lows (spring or shakeout behavior). - Potential bear trap if price reclaims lost territory. 5.3. Trend Phases Strong Uptrend Phases Typically seen when S2–S3 combine with strong bullish kinetic behavior. Bias: Strong or Extreme Bull Signal: - Pullbacks into S3 or S4 with supportive kinetic states often act as trend continuation zones. Strong Downtrend Phases Typically seen when S3–S4 combine with strong bearish kinetic behavior. Bias: Strong or Extreme Bear Signal: - Rallies into resistance with strong bearish kinetic backing may act as continuation sell zones. 5.4. Neutral, Exhaustion and Squeeze Exhaustion or Liquidity Void S1 or S5 with D5 (Neutral kinetics) Bias: Neutral or Exhaustion Signal: - Spatial extremes without kinetic confirmation. - Often marks the end of a move, with poor follow-through. Choppy, Low-Activity Range S3 with D5 Bias: Neutral Signal: - Low volume, low conviction market. - Typically a low-probability environment where standing aside can be logical. Squeeze or High-Tension Zone S3 with D4 or tightly clustered kinetic values Bias: Conflict or High Tension Signal: - Hidden battle inside a volatility contraction. - Often precedes large directionally-biased moves. 6. Dashboard Layout & Reading Guide When Show Dashboard is enabled, BDMA displays: 1. Title and Status Line Name of the current regime (for example: Climax Breakout, Bear Trap Spring, Mean Reversion). 2. Bias Line Plain-language summary of directional context such as Climactic Bull, Strong Bear, Neutral, or Conflict and Reversal Risk. 3. Signal or Strategic Notes Concise guidance focused on risk and context, not entries. For example: - High reversal risk – aggressive traders only - Wait for confirmation (break or rejection) - Low probability zone – avoid taking new positions 4. Kinetic Profile (4-Factor Z-Score) Shows the current Z-Scores for Total Volume (Activity), Buy Volume (Attack), Sell Volume (Defense), and Delta (Net Result). 5. Matrix Heatmap (5×8) Visual representation of S-State vs. D-State with color coding: - Bullish clusters in a green spectrum - Bearish clusters in a red spectrum - Conflict or exhaustion zones in yellow, amber, or neutral tones The dashboard can be repositioned (top right, middle right, or bottom right) and its size can be adjusted (Tiny, Small, Normal, or Large) to fit different layouts. 7. Inputs & Customization 7.1. Core Parameters (Bollinger and Z-Score) - Bollinger Length and Standard Deviation define the spatial engine. - Z-Score Lookback (All Factors) defines how many bars are used to normalize volume and delta. 7.2. Deep Kinetic Thresholds - Extreme Threshold defines what is considered climactic (D1 or D8). - Significant Threshold distinguishes strong initiative vs. weak or fakeout behavior. - Neutral Threshold is the band within which delta is treated as neutral. These thresholds allow you to tune the sensitivity of the kinetic classification to fit different timeframes or instruments. 7.3. Calculation Method (Volume Delta) Geometry (Approx) - Fast, non-repainting approach based on candle geometry. - Suitable for most users and real-time decision-making. Intrabar (Precise) - Uses lower-timeframe data for more precise volume delta estimation. - Intrabar mode can repaint and requires compatible data and plan support on the platform. - Best used for post-analysis or research, not blind automation. 7.4. Visuals and Interface - Toggle Bollinger Bands visibility on or off. - Switch between Dark and Light color themes. - Configure dashboard visibility, matrix heatmap display, position, and size. 8. Multi-Language Semantic Engine (Asia and Middle East Focus) BDMA v7.0 includes a fully integrated multi-language layer, targeting a wide geographic user base. Supported Languages: English, Türkçe, Русский, 简体中文, हिन्दी, العربية, فارسی, עברית All dashboard labels, regime titles, bias descriptions, and signal texts are dynamically translated via an internal dictionary, while semantic meaning is kept consistent across languages. This makes BDMA suitable for multi-language communities, study groups, and educational content across different regions. However, due to the heavy computational load of the Deep Kinetic Engine and TradingView’s strict Pine Script execution limits, it was not possible to expand support to additional languages. Adding more translation layers would significantly increase memory usage and exceed runtime constraints. For this reason, the current language set represents the maximum optimized configuration achievable without compromising performance or stability. 9. Practical Usage Notes BDMA is most powerful when used as a contextual overlay on top of market structure (HH, HL, LH, LL), higher-timeframe trend, key levels, and your own execution framework. Recommended usage: - Identify the current regime (Status and Bias). - Check whether price location (S-State) and kinetic behavior (D-State) agree with your trade idea. - Be especially cautious in climactic and absorption or conflict zones, where volatility and risk can be elevated. Avoid treating BDMA as an automatic green equals buy, red equals sell tool. The real edge comes from understanding where you are in the volatility or kinetic spectrum, not from forcing signals out of the matrix. 10. Limitations & Important Warnings BDMA does not predict the future. It organizes current and recent data into a structured context. Volume data quality depends on the underlying symbol, exchange, and broker feed. Forex, crypto, indices, and stocks may all behave differently. Intrabar mode can repaint and is sensitive to lower-timeframe data availability and your plan type. Use it with extra caution and primarily for research. No indicator can remove the need for clear trading rules, disciplined risk management, and psychological control. 11. Disclaimer This script is provided strictly for educational and analytical purposes. It is not a trading system, signal service, financial product, or investment advice. Nothing in this indicator or its description should be interpreted as a recommendation to buy or sell any asset. Past behavior of any indicator or market pattern does not guarantee future results. Trading and investing involve significant risk, including the risk of losing more than your initial capital in leveraged products. You are solely responsible for your own decisions, risk management, and results. By using this script, you acknowledge that you understand these risks and agree that the author or authors and publisher or publishers are not liable for any loss or damage arising from its use.

Penunjuk Pine Script®

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Multi Timeframe Bollinger Bands Spectrum [Ata]Multi-Timeframe Bollinger Bands Spectrum Technical Overview This script integrates multi-timeframe volatility analysis with volume-derived order flow estimation. By combining Bollinger Bands (statistical deviation) with internal candle volume logic, the indicator qualifies price movements to differentiate between sustained trends, reversals, and exhaustion events. The system is designed to provide a structural context for price action, visualizing market regimes through a dual-zone spectrum and filtering signals based on the interaction between price location and specific volume thresholds. Core Logic & Calculation 1. Volume Decomposition Algorithm Instead of using total volume, the script estimates Buying Pressure vs. Selling Pressure based on the close position relative to the candle's High/Low range: - Buying Volume (vb): Increases as the close approaches the High. - Selling Volume (vs): Increases as the close approaches the Low. This logic allows the detection of directional flow even within standard volume bars. 2. Statistical Spectrum The indicator renders deviations from the Basis (SMA) as two distinct zones: - Bullish Zone (Blue): Price positioning between the Basis and Upper Band. - Bearish Zone (Red): Price positioning between the Basis and Lower Band. This structure is applied across multiple timeframes (overlay) to visualize the macro trend context without noise. 3. Non-Repainting Execution To ensure historical accuracy and reliability for backtesting, all higher-timeframe data is requested using "lookahead_off". Signals are confirmed only upon the closure of the respective timeframe's candle. Signal Definitions Signals are generated only when specific Volatility and Volume conditions intersect: Reversal Setups (Reaction to Liquidity) - WALL: Triggered when price rejects the Upper Band accompanied by Extreme Selling Volume (vs > Limit). This suggests active limit sell orders absorbing the rally. - FLOOR: Triggered when price rejects the Lower Band accompanied by Extreme Buying Volume (vb > Limit). This suggests active limit buy orders absorbing the drop. - ABSORP: Identifies absorption near the lower bands where selling pressure is met with passive buying (indicated by lower wicks and relative buy volume). Momentum Setups (Trend Continuation) - POWER: Validates a breakout above the Upper Band only if supported by Dominant Buying Volume and a strong candle body. - PANIC: Validates a breakdown below the Lower Band only if supported by Dominant Selling Volume. - TRAP: Marks failed breakouts where price exits the bands but volume analysis contradicts the move (e.g., low directional volume). Exhaustion Setups (Statistical Extremes) - CLIMAX/CRASH: Identifies anomalies where price deviates significantly from the mean (Extreme Deviation) or when volume reaches unsustainable levels relative to the average, often preceding a mean reversion. Input Parameters - Bollinger Logic: Configuration for Length and Standard Deviation Multiplier. - Volume Thresholds: Adjustable factors for Minimum Volume (Trend) and Extreme Volume (Reversal/Climax). - Timeframe Layers: Toggle visibility for up to 5 higher timeframes. - Theme: Adjusts label contrast for Dark/Light backgrounds. Disclaimer This indicator is strictly for analytical purposes. It provides a visualization of past market data based on statistical and volumetric formulas. Users should apply their own risk management protocols.

Penunjuk Pine Script®

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Smart RSI Money Flow - Core Bands V1.01 SMART RSI – Money Flow Bands (Technical Overview) 1. Background: RSI and Its Behavior on Lower Timeframes The Relative Strength Index (RSI) originally is a momentum oscillator calculated from average gains and losses over a selected period. In its standard form, RSI is derived solely from price changes; it does not incorporate volume data or order-flow information in its formula. Because RSI is price-based, its interpretation depends strongly on the timeframe: • On higher timeframes, each bar aggregates more trading activity, and RSI tends to behave more smoothly. • On lower timeframes (1-hour down to intraday scalping intervals), price fluctuations are quicker, and RSI becomes more sensitive to short-term noise. This does not imply that RSI becomes invalid, but that its signals on fast charts can be more reactive and may benefit from additional context such as volume behavior or structural information. 2. Purpose of This Indicator This indicator extends the classical RSI by adding information that RSI does not include: • Mapping RSI values into price-based bands instead of the 0–100 oscillator space. • Retrieving lower timeframe volume data and separating it into buy and sell components. • Comparing the slope (angle) of price movement with the slope of buy and sell volume. The goal is to provide a structural interpretation of where price sits relative to RSI conditions and how volume is behaving on a lower timeframe. 3. Technical Differences Compared to Classical RSI A) Classical RSI • Input: price only (usually close). • Output: normalized oscillator between 0 and 100. • Does not incorporate intra-bar volume distribution. • Does not separate buy/sell volume. B) SMART RSI – Money Flow Bands 1) RSI-to-Price Mapping Converts RSI values into upper/lower price bands using recent price extremes. 2) Lower Timeframe Volume Decomposition Retrieves LTF data and splits each bar’s volume into buy (close>open) and sell (close

Penunjuk Pine Script®

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Dwaggy Scalping Trio (VWAP + EMA + RSI)First attempt at pine script this is a scalping indicator that combines VWAP, EMA, and RSI to signal entry/exit for scalping lower time frames

Strategi Pine Script®

Multipower Entry Secret Multipower Entry Secret indicator is designed to be the ultimate trading companion for traders of all skill levels—especially those who struggle with decision-making due to unclear or overwhelming signals. Unlike conventional trading systems cluttered with too many lines and confusing alerts, this indicator provides a clear, adaptive, and actionable guide for market entries and exits. Key Points: Clear Buy/Sell/Wait Signals: The script dynamically analyzes price action, candle patterns, volume, trend strength, and higher time frame context. This means it gives you “Buy,” “Sell,” or “Wait” signals based on real, meaningful market information—filtering out the noise and weak trades. Multi-Timeframe Adaptive Analysis: It synchronizes signals between higher and current timeframes, ensuring you get the most reliable direction—reducing the risk of getting caught in fake moves or sudden reversals. Automatic Support, Resistance & Liquidity Zones: Key levels like support, resistance, and liquidity zones are auto-detected and displayed directly on the chart, helping you make precise decisions without manual drawing. Real-Time Dashboard: All relevant information, such as trend strength, market intent, volume sentiment, and the reason behind each signal, is neatly summarized in a dashboard—making monitoring effortless and intuitive. Customizable & Beginner-Friendly: Whether you’re a newcomer wanting straightforward guidance or a professional needing advanced customization, the indicator offers flexible options to adjust analysis depth, timeframes, sensitivity, and more. Visual & Clutter-Free: The design ensures that your chart remains clean and readable, showing only the most important information. This minimizes mental overload and allows for instant decision-making. Who Will Benefit? Beginners who want to learn trading logic, avoid common traps, and see the exact reason behind every signal. Advanced traders who require adaptive multi-timeframe analytics, fast execution, and stress-free monitoring. Anyone who wants to save screen time, reduce analysis paralysis, and have more confidence in every trade they take. 1. No Indicator Clutter Intent: Many traders get confused by charts filled with too many indicators and signals. This often leads to hesitation, missed trades, or taking random, risky trades. In this Indicator: You get a clean and clutter-free chart. Only the most important buy/sell/wait signals and relevant support/resistance/liquidity levels are shown. These update automatically, removing the “overload” and keeping your focus sharp, so your decision-making is faster and stress-free. 2. Exact Entry Guide Intent: Traders often struggle with entry timing, leading to FOMO (fear of missing out) or getting trapped in sudden market reversals. In this Indicator: The system uses powerful adaptive logic to filter out weak signals and only highlight the strongest market moves. This not only prevents you from entering late or on noise, but also helps avoid losses from false breakouts or whipsaws. You get actionable suggestions—when to enter, when to hold back—so your entries are high-conviction and disciplined. 3. HTF+LTF Logic: Multitimeframe Sync Analysis Intent: Most losing trades happen when you act only on the short-term chart, ignoring the bigger market trend. In this Indicator: Signals are based on both the current chart timeframe (LTF) and a higher (HTF, like hourly/daily) timeframe. The indicator synchronizes trend direction, momentum, and structure across both levels, quickly adapting to show you when both are aligned. This filtering results in “only trade with the bigger trend”—dramatically increasing your win rate and market confidence. 4. Auto Support/Resistance & Liquidity Zones Intent: Drawing support/resistance and liquidity zones manually is time-consuming and error-prone, especially for beginners. In this Indicator: The system automatically identifies and plots the most crucial support/resistance levels and liquidity zones on your chart. This is based on adaptive, real-time price and volume analysis. These zones highlight where major institutional activity, trap setups, or real breakouts/reversals are most likely, removing guesswork and giving you a clear reference for entries, exits, and stop placements. 5. Clear Action/Direction Intent: Traders need certainty—what does the market want right now? Most indicators are vague. In this Indicator: Your dashboard always displays in plain words (like “BUY”, “SELL”, or “WAIT”) what action makes sense in the current market phase. Whether it’s a bull trap, volume spike, wick reversal, or exhaustion—it’s interpreted and explained clearly. No more confusion—just direct, real-time advice. 6. For Everyone (Beginner to Pro) Intent: Most advanced indicators are overwhelming for new traders; simple ones lack depth for professionals. In this Indicator: It is simple enough for a beginner—just add it to the chart and instantly see what action to consider. At the same time, it includes advanced adaptive analysis, multi-timeframe logic, and customizable settings so professional traders can fine-tune it for their strategies. 7. Ideal Usage and User Benefits Instant Decision Support: Whenever you’re unsure about a trade, just look at the indicator’s suggestion for clarity. Entry Learning: Beginners get real-time “practice” by not only seeing signals, but also the reason behind them—improving your chart reading and market understanding. Screen Time & Stress Reduction: Clear, relevant information only; no noise, less fatigue, faster decisions. Makes Trading Confident & Simple: The smart dashboard splits actionable levels (HTF, LTF, action) so you never miss a move, avoid traps, and stay aligned with high-probability trades. 8. Advanced Input Settings (Smart Customization) Explained with Examples: Enable Wick Analysis: Finds candles with strong upper/lower wicks (signs of rejection/buying/selling force), alerting you to hidden reversals and protecting from FOMO entries. Enable Absorption: Detects when heavy order flow from one side is “absorbed” by the other (shows where institutional buyers/sellers are likely active, helps spot fake breakouts). Enable Unusual Breakout: Highlights real breakouts—large volatility plus high volume—so you catch genuine moves and avoid random spikes. Enable Range/Expansion: Smartly flags sudden range expansions—when the market goes from quiet to volatile—so you can act at the start of real trends. Trend Bar Lookback: Adjusts how many bars/candles are used in trend calculations. Short (fast trades, more signals), long (more reliability, fewer whipsaws). Bull/Bear Bars for Strong Trend Min: Sets how many candles in a row must support a trend before calling it “strong”—prevents flipping signals, keeps you disciplined. Volume MA Length: Lets you adjust how many bars back volume is averaged—fine-tune for your asset and trading style for best volume signals. Swing Lookback Bars: Set how many bars to use for swing high/low detection—short (quick swing levels), long (stronger support/resistance). HTF (Bias Window): Decide which higher timeframe the indicator should use for big-picture market mood. Adjustable for any style (scalp, swing, position). Adaptive Lookback (HTF): Choose how much HTF history is used for detecting major extremes/zones. Quick adjust for more/less sensitivity. Show Support/Resistance, Liquidity Zones, Trendlines: Toggle them on/off instantly per your needs—keeps your chart relevant and tailored. 9. Live Dashboard Sections Explained Intent HTF: Shows if the bigger timeframe currently has a Bullish, Bearish, or Neutral (“Chop”) intent, based on strict volume/price body calculations. Instant clarity—no more guessing on trend bias. HTF Bias: Clear message about which side (buy/sell/sideways) controls the market on the higher timeframe, so you always trade with the “big money.” Chart Action: The central action for the current bar—Whether to Buy, Sell, or Wait—calculated from all indicator logic, not just one rule. TrendScore Long/Short: See how many candles in your chosen window were bullish or bearish, at a glance. Instantly gauge market momentum. Reason (WHY): Every time a signal appears, the “reason” cell tells you the primary logic (breakout, wick, strong trend, etc.) behind it. Full transparency and learning—never trade blindly. Strong Trend: Shows if the market is currently in a powerful trend or not—helping you avoid choppy, risky entries. HTF Vol/Body: Displays current higher timeframe volume and candle body %—helping spot when big players are active for higher probability trades. Volume Sentiment: A real-time analysis of market psychology (strong bullish/bearish, neutral)—making your decision-making much more confident. 10. Smart and User-Friendly Design Multi-timeframe Adaptive: All calculations can now be drawn from your choice of higher or current timeframe, ensuring signals are filtered by larger market context. Flexible Table Position: You can set the live dashboard/summary anywhere on the chart for best visibility. Refined Zone Visualization: Liquidity and order blocks are visually highlighted, auto-tuning for your settings and always cleaning up to stay clutter-free. Multi-Lingual & Beginner Accessible: With Hindi and simple English support, descriptions and settings are accessible for a wide audience—anyone can start using powerful trading logic with zero language barrier. Efficient Labels & Clear Reasoning: Signal labels and reasons are shown/removed dynamically so your chart stays informative, not messy. Every detail of this indicator is designed to make trading both simpler and smarter—helping you avoid the common pitfalls, learn real price action, stay in sync with the market’s true mood, and act with discipline for higher consistency and confidence. This indicator makes professional-grade market analysis accessible to everyone. It’s your trusted assistant for making smarter, faster, and more profitable trading decisions—providing not just signals, but also the “why” behind every action. With auto-adaptive logic, clear visuals, and strong focus on real trading needs, it lets you focus on capturing the moves that matter—every single time.

Penunjuk Pine Script®

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Hazel nut BB Strategy, volume base- lite version Hazel nut BB Strategy, volume base — lite version Having knowledge and information in financial markets is only useful when a trader operates with a well-defined trading strategy. Trading strategies assist in capital management, profit-taking, and reducing potential losses. This strategy is built upon the core principle of supply and demand dynamics. Alongside this foundation, one of the widely used technical tools — the Bollinger Bands — is employed to structure a framework for profit management and risk control. In this strategy, the interaction of these tools is explained in detail. A key point to note is that for calculating buy and sell volumes, a lower timeframe function is used. When applied with a tick-level resolution, this provides the most precise measurement of buyer/seller flows. However, this comes with a limitation of reduced historical depth. Users should be aware of this trade-off: if precise tick-level data is required, shorter timeframes should be considered to extend historical coverage . The strategy offers multiple configuration options. Nevertheless, it should be treated strictly as a supportive tool rather than a standalone trading system. Decisions must integrate personal analysis and other instruments. For example, in highly volatile assets with narrow ranges, it is recommended to adjust profit-taking and stop-loss percentages to smaller values. ◉ Volume Settings • Buyer and seller volume (up/down volume) are requested from a lower timeframe, with an option to override the automatic resolution. • A global lookback period is applied to calculate moving averages and cumulative sums of buy/sell/delta volumes. • Ratios of buyers/sellers to total volume are derived both on the current bar and across the lookback window. ◉ Bollinger Band • Bands are computed using configurable moving averages (SMA, EMA, RMA, WMA, VWMA). • Inputs allow control of length, standard deviation multiplier, and offset. • The basis, upper, and lower bands are plotted, with a shaded background between them. ◉ Progress & Proximity • Relative position of the price to the Bollinger basis is expressed as percentages (qPlus/qMinus). • “Near band” conditions are triggered when price progress toward the upper or lower band exceeds a user-defined threshold (%). • A signed score (sScore) represents how far the close has moved above or below the basis relative to band width. ◉ Info Table • Optional compact table summarizing: • - Upper/lower band margins • - Buyer/seller volumes with moving averages • - Delta and cumulative delta • - Buyer/seller ratios per bar and across the window • - Money flow values (buy/sell/delta × price) for bar-level and summed periods • The table is neutral-colored and resizable for different chart layouts. ◉ Zone Event Gate • Tracks entry into and exit from “near band” zones. • Arming logic: a side is armed when price enters a band proximity zone. • Trigger logic: on exit, a trade event is generated if cumulative buyer or seller volume dominates over a configurable window. ◉ Trading Logic • Orders are placed only on zone-exit events, conditional on volume dominance. • Position sizing is defined as a fixed percentage of strategy equity. • Long entries occur when leaving the lower zone with buyer dominance; short entries occur when leaving the upper zone with seller dominance. ◉ Exit Rules • Open positions are managed by a strict priority sequence: • 1. Stop-loss (% of entry price) • 2. Take-profit (% of entry price) • 3. Opposite-side event (zone exit with dominance in the other direction) • Stop-loss and take-profit levels are configurable ◉ Notes • This lite version is intended to demonstrate the interaction of Bollinger Bands and volume-based dominance logic. • It provides a framework to observe how price reacts at band boundaries under varying buy/sell pressure, and how zone exits can be systematically converted into entry/exit signals. When configuring this strategy, it is essential to carefully review the settings within the Strategy Tester. Ensure that the chosen parameters and historical data options are correctly aligned with the intended use. Accurate back testing depends on applying proper configurations for historical reference. The figure below illustrates sample result and configuration type.

Strategi Pine Script®

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ATAI Volume analysis with price action V 1.00 ATAI Volume Analysis with Price Action 1. Introduction 1.1 Overview ATAI Volume Analysis with Price Action is a composite indicator designed for TradingView. It combines per‑side volume data —that is, how much buying and selling occurs during each bar—with standard price‑structure elements such as swings, trend lines and support/resistance. By blending these elements the script aims to help a trader understand which side is in control, whether a breakout is genuine, when markets are potentially exhausted and where liquidity providers might be active. The indicator is built around TradingView’s up/down volume feed accessed via the TradingView/ta/10 library. The following excerpt from the script illustrates how this feed is configured: import TradingView/ta/10 as tvta // Determine lower timeframe string based on user choice and chart resolution string lower_tf_breakout = use_custom_tf_input ? custom_tf_input : timeframe.isseconds ? "1S" : timeframe.isintraday ? "1" : timeframe.isdaily ? "5" : "60" // Request up/down volume (both positive) = tvta.requestUpAndDownVolume(lower_tf_breakout) Lower‑timeframe selection. If you do not specify a custom lower timeframe, the script chooses a default based on your chart resolution: 1 second for second charts, 1 minute for intraday charts, 5 minutes for daily charts and 60 minutes for anything longer. Smaller intervals provide a more precise view of buyer and seller flow but cover fewer bars. Larger intervals cover more history at the cost of granularity. Tick vs. time bars. Many trading platforms offer a tick / intrabar calculation mode that updates an indicator on every trade rather than only on bar close. Turning on one‑tick calculation will give the most accurate split between buy and sell volume on the current bar, but it typically reduces the amount of historical data available. For the highest fidelity in live trading you can enable this mode; for studying longer histories you might prefer to disable it. When volume data is completely unavailable (some instruments and crypto pairs), all modules that rely on it will remain silent and only the price‑structure backbone will operate. Figure caption, Each panel shows the indicator’s info table for a different volume sampling interval. In the left chart, the parentheses “(5)” beside the buy‑volume figure denote that the script is aggregating volume over five‑minute bars; the center chart uses “(1)” for one‑minute bars; and the right chart uses “(1T)” for a one‑tick interval. These notations tell you which lower timeframe is driving the volume calculations. Shorter intervals such as 1 minute or 1 tick provide finer detail on buyer and seller flow, but they cover fewer bars; longer intervals like five‑minute bars smooth the data and give more history. Figure caption, The values in parentheses inside the info table come directly from the Breakout — Settings. The first row shows the custom lower-timeframe used for volume calculations (e.g., “(1)”, “(5)”, or “(1T)”) 2. Price‑Structure Backbone Even without volume, the indicator draws structural features that underpin all other modules. These features are always on and serve as the reference levels for subsequent calculations. 2.1 What it draws • Pivots: Swing highs and lows are detected using the pivot_left_input and pivot_right_input settings. A pivot high is identified when the high recorded pivot_right_input bars ago exceeds the highs of the preceding pivot_left_input bars and is also higher than (or equal to) the highs of the subsequent pivot_right_input bars; pivot lows follow the inverse logic. The indicator retains only a fixed number of such pivot points per side, as defined by point_count_input, discarding the oldest ones when the limit is exceeded. • Trend lines: For each side, the indicator connects the earliest stored pivot and the most recent pivot (oldest high to newest high, and oldest low to newest low). When a new pivot is added or an old one drops out of the lookback window, the line’s endpoints—and therefore its slope—are recalculated accordingly. • Horizontal support/resistance: The highest high and lowest low within the lookback window defined by length_input are plotted as horizontal dashed lines. These serve as short‑term support and resistance levels. • Ranked labels: If showPivotLabels is enabled the indicator prints labels such as “HH1”, “HH2”, “LL1” and “LL2” near each pivot. The ranking is determined by comparing the price of each stored pivot: HH1 is the highest high, HH2 is the second highest, and so on; LL1 is the lowest low, LL2 is the second lowest. In the case of equal prices the newer pivot gets the better rank. Labels are offset from price using ½ × ATR × label_atr_multiplier, with the ATR length defined by label_atr_len_input. A dotted connector links each label to the candle’s wick. 2.2 Key settings • length_input: Window length for finding the highest and lowest values and for determining trend line endpoints. A larger value considers more history and will generate longer trend lines and S/R levels. • pivot_left_input, pivot_right_input: Strictness of swing confirmation. Higher values require more bars on either side to form a pivot; lower values create more pivots but may include minor swings. • point_count_input: How many pivots are kept in memory on each side. When new pivots exceed this number the oldest ones are discarded. • label_atr_len_input and label_atr_multiplier: Determine how far pivot labels are offset from the bar using ATR. Increasing the multiplier moves labels further away from price. • Styling inputs for trend lines, horizontal lines and labels (color, width and line style). Figure caption, The chart illustrates how the indicator’s price‑structure backbone operates. In this daily example, the script scans for bars where the high (or low) pivot_right_input bars back is higher (or lower) than the preceding pivot_left_input bars and higher or lower than the subsequent pivot_right_input bars; only those bars are marked as pivots. These pivot points are stored and ranked: the highest high is labelled “HH1”, the second‑highest “HH2”, and so on, while lows are marked “LL1”, “LL2”, etc. Each label is offset from the price by half of an ATR‑based distance to keep the chart clear, and a dotted connector links the label to the actual candle. The red diagonal line connects the earliest and latest stored high pivots, and the green line does the same for low pivots; when a new pivot is added or an old one drops out of the lookback window, the end‑points and slopes adjust accordingly. Dashed horizontal lines mark the highest high and lowest low within the current lookback window, providing visual support and resistance levels. Together, these elements form the structural backbone that other modules reference, even when volume data is unavailable. 3. Breakout Module 3.1 Concept This module confirms that a price break beyond a recent high or low is supported by a genuine shift in buying or selling pressure. It requires price to clear the highest high (“HH1”) or lowest low (“LL1”) and, simultaneously, that the winning side shows a significant volume spike, dominance and ranking. Only when all volume and price conditions pass is a breakout labelled. 3.2 Inputs • lookback_break_input : This controls the number of bars used to compute moving averages and percentiles for volume. A larger value smooths the averages and percentiles but makes the indicator respond more slowly. • vol_mult_input : The “spike” multiplier; the current buy or sell volume must be at least this multiple of its moving average over the lookback window to qualify as a breakout. • rank_threshold_input (0–100) : Defines a volume percentile cutoff: the current buyer/seller volume must be in the top (100−threshold)%(100−threshold)% of all volumes within the lookback window. For example, if set to 80, the current volume must be in the top 20 % of the lookback distribution. • ratio_threshold_input (0–1) : Specifies the minimum share of total volume that the buyer (for a bullish breakout) or seller (for bearish) must hold on the current bar; the code also requires that the cumulative buyer volume over the lookback window exceeds the seller volume (and vice versa for bearish cases). • use_custom_tf_input / custom_tf_input : When enabled, these inputs override the automatic choice of lower timeframe for up/down volume; otherwise the script selects a sensible default based on the chart’s timeframe. • Label appearance settings : Separate options control the ATR-based offset length, offset multiplier, label size and colors for bullish and bearish breakout labels, as well as the connector style and width. 3.3 Detection logic 1. Data preparation : Retrieve per‑side volume from the lower timeframe and take absolute values. Build rolling arrays of the last lookback_break_input values to compute simple moving averages (SMAs), cumulative sums and percentile ranks for buy and sell volume. 2. Volume spike: A spike is flagged when the current buy (or, in the bearish case, sell) volume is at least vol_mult_input times its SMA over the lookback window. 3. Dominance test: The buyer’s (or seller’s) share of total volume on the current bar must meet or exceed ratio_threshold_input. In addition, the cumulative sum of buyer volume over the window must exceed the cumulative sum of seller volume for a bullish breakout (and vice versa for bearish). A separate requirement checks the sign of delta: for bullish breakouts delta_breakout must be non‑negative; for bearish breakouts it must be non‑positive. 4. Percentile rank: The current volume must fall within the top (100 – rank_threshold_input) percent of the lookback distribution—ensuring that the spike is unusually large relative to recent history. 5. Price test: For a bullish signal, the closing price must close above the highest pivot (HH1); for a bearish signal, the close must be below the lowest pivot (LL1). 6. Labeling: When all conditions above are satisfied, the indicator prints “Breakout ↑” above the bar (bullish) or “Breakout ↓” below the bar (bearish). Labels are offset using half of an ATR‑based distance and linked to the candle with a dotted connector. Figure caption, (Breakout ↑ example) , On this daily chart, price pushes above the red trendline and the highest prior pivot (HH1). The indicator recognizes this as a valid breakout because the buyer‑side volume on the lower timeframe spikes above its recent moving average and buyers dominate the volume statistics over the lookback period; when combined with a close above HH1, this satisfies the breakout conditions. The “Breakout ↑” label appears above the candle, and the info table highlights that up‑volume is elevated relative to its 11‑bar average, buyer share exceeds the dominance threshold and money‑flow metrics support the move. Figure caption, In this daily example, price breaks below the lowest pivot (LL1) and the lower green trendline. The indicator identifies this as a bearish breakout because sell‑side volume is sharply elevated—about twice its 11‑bar average—and sellers dominate both the bar and the lookback window. With the close falling below LL1, the script triggers a Breakout ↓ label and marks the corresponding row in the info table, which shows strong down volume, negative delta and a seller share comfortably above the dominance threshold. 4. Market Phase Module (Volume Only) 4.1 Concept Not all markets trend; many cycle between periods of accumulation (buying pressure building up), distribution (selling pressure dominating) and neutral behavior. This module classifies the current bar into one of these phases without using ATR , relying solely on buyer and seller volume statistics. It looks at net flows, ratio changes and an OBV‑like cumulative line with dual‑reference (1‑ and 2‑bar) trends. The result is displayed both as on‑chart labels and in a dedicated row of the info table. 4.2 Inputs • phase_period_len: Number of bars over which to compute sums and ratios for phase detection. • phase_ratio_thresh : Minimum buyer share (for accumulation) or minimum seller share (for distribution, derived as 1 − phase_ratio_thresh) of the total volume. • strict_mode: When enabled, both the 1‑bar and 2‑bar changes in each statistic must agree on the direction (strict confirmation); when disabled, only one of the two references needs to agree (looser confirmation). • Color customisation for info table cells and label styling for accumulation and distribution phases, including ATR length, multiplier, label size, colors and connector styles. • show_phase_module: Toggles the entire phase detection subsystem. • show_phase_labels: Controls whether on‑chart labels are drawn when accumulation or distribution is detected. 4.3 Detection logic The module computes three families of statistics over the volume window defined by phase_period_len: 1. Net sum (buyers minus sellers): net_sum_phase = Σ(buy) − Σ(sell). A positive value indicates a predominance of buyers. The code also computes the differences between the current value and the values 1 and 2 bars ago (d_net_1, d_net_2) to derive up/down trends. 2. Buyer ratio: The instantaneous ratio TF_buy_breakout / TF_tot_breakout and the window ratio Σ(buy) / Σ(total). The current ratio must exceed phase_ratio_thresh for accumulation or fall below 1 − phase_ratio_thresh for distribution. The first and second differences of the window ratio (d_ratio_1, d_ratio_2) determine trend direction. 3. OBV‑like cumulative net flow: An on‑balance volume analogue obv_net_phase increments by TF_buy_breakout − TF_sell_breakout each bar. Its differences over the last 1 and 2 bars (d_obv_1, d_obv_2) provide trend clues. The algorithm then combines these signals: • For strict mode , accumulation requires: (a) current ratio ≥ threshold, (b) cumulative ratio ≥ threshold, (c) both ratio differences ≥ 0, (d) net sum differences ≥ 0, and (e) OBV differences ≥ 0. Distribution is the mirror case. • For loose mode , it relaxes the directional tests: either the 1‑ or the 2‑bar difference needs to agree in each category. If all conditions for accumulation are satisfied, the phase is labelled “Accumulation” ; if all conditions for distribution are satisfied, it’s labelled “Distribution” ; otherwise the phase is “Neutral” . 4.4 Outputs • Info table row : Row 8 displays “Market Phase (Vol)” on the left and the detected phase (Accumulation, Distribution or Neutral) on the right. The text colour of both cells matches a user‑selectable palette (typically green for accumulation, red for distribution and grey for neutral). • On‑chart labels : When show_phase_labels is enabled and a phase persists for at least one bar, the module prints a label above the bar ( “Accum” ) or below the bar ( “Dist” ) with a dashed or dotted connector. The label is offset using ATR based on phase_label_atr_len_input and phase_label_multiplier and is styled according to user preferences. Figure caption, The chart displays a red “Dist” label above a particular bar, indicating that the accumulation/distribution module identified a distribution phase at that point. The detection is based on seller dominance: during that bar, the net buyer-minus-seller flow and the OBV‑style cumulative flow were trending down, and the buyer ratio had dropped below the preset threshold. These conditions satisfy the distribution criteria in strict mode. The label is placed above the bar using an ATR‑based offset and a dashed connector. By the time of the current bar in the screenshot, the phase indicator shows “Neutral” in the info table—signaling that neither accumulation nor distribution conditions are currently met—yet the historical “Dist” label remains to mark where the prior distribution phase began. Figure caption, In this example the market phase module has signaled an Accumulation phase. Three bars before the current candle, the algorithm detected a shift toward buyers: up‑volume exceeded its moving average, down‑volume was below average, and the buyer share of total volume climbed above the threshold while the on‑balance net flow and cumulative ratios were trending upwards. The blue “Accum” label anchored below that bar marks the start of the phase; it remains on the chart because successive bars continue to satisfy the accumulation conditions. The info table confirms this: the “Market Phase (Vol)” row still reads Accumulation, and the ratio and sum rows show buyers dominating both on the current bar and across the lookback window. 5. OB/OS Spike Module 5.1 What overbought/oversold means here In many markets, a rapid extension up or down is often followed by a period of consolidation or reversal. The indicator interprets overbought (OB) conditions as abnormally strong selling risk at or after a price rally and oversold (OS) conditions as unusually strong buying risk after a decline. Importantly, these are not direct trade signals; rather they flag areas where caution or contrarian setups may be appropriate. 5.2 Inputs • minHits_obos (1–7): Minimum number of oscillators that must agree on an overbought or oversold condition for a label to print. • syncWin_obos: Length of a small sliding window over which oscillator votes are smoothed by taking the maximum count observed. This helps filter out choppy signals. • Volume spike criteria: kVolRatio_obos (ratio of current volume to its SMA) and zVolThr_obos (Z‑score threshold) across volLen_obos. Either threshold can trigger a spike. • Oscillator toggles and periods: Each of RSI, Stochastic (K and D), Williams %R, CCI, MFI, DeMarker and Stochastic RSI can be independently enabled; their periods are adjustable. • Label appearance: ATR‑based offset, size, colors for OB and OS labels, plus connector style and width. 5.3 Detection logic 1. Directional volume spikes: Volume spikes are computed separately for buyer and seller volumes. A sell volume spike (sellVolSpike) flags a potential OverBought bar, while a buy volume spike (buyVolSpike) flags a potential OverSold bar. A spike occurs when the respective volume exceeds kVolRatio_obos times its simple moving average over the window or when its Z‑score exceeds zVolThr_obos. 2. Oscillator votes: For each enabled oscillator, calculate its overbought and oversold state using standard thresholds (e.g., RSI ≥ 70 for OB and ≤ 30 for OS; Stochastic %K/%D ≥ 80 for OB and ≤ 20 for OS; etc.). Count how many oscillators vote for OB and how many vote for OS. 3. Minimum hits: Apply the smoothing window syncWin_obos to the vote counts using a maximum‑of‑last‑N approach. A candidate bar is only considered if the smoothed OB hit count ≥ minHits_obos (for OverBought) or the smoothed OS hit count ≥ minHits_obos (for OverSold). 4. Tie‑breaking: If both OverBought and OverSold spike conditions are present on the same bar, compare the smoothed hit counts: the side with the higher count is selected; ties default to OverBought. 5. Label printing: When conditions are met, the bar is labelled as “OverBought X/7” above the candle or “OverSold X/7” below it. “X” is the number of oscillators confirming, and the bracket lists the abbreviations of contributing oscillators. Labels are offset from price using half of an ATR‑scaled distance and can optionally include a dotted or dashed connector line. Figure caption, In this chart the overbought/oversold module has flagged an OverSold signal. A sell‑off from the prior highs brought price down to the lower trend‑line, where the bar marked “OverSold 3/7 DeM” appears. This label indicates that on that bar the module detected a buy‑side volume spike and that at least three of the seven enabled oscillators—in this case including the DeMarker—were in oversold territory. The label is printed below the candle with a dotted connector, signaling that the market may be temporarily exhausted on the downside. After this oversold print, price begins to rebound towards the upper red trend‑line and higher pivot levels. Figure caption, This example shows the overbought/oversold module in action. In the left‑hand panel you can see the OB/OS settings where each oscillator (RSI, Stochastic, Williams %R, CCI, MFI, DeMarker and Stochastic RSI) can be enabled or disabled, and the ATR length and label offset multiplier adjusted. On the chart itself, price has pushed up to the descending red trendline and triggered an “OverBought 3/7” label. That means the sell‑side volume spiked relative to its average and three out of the seven enabled oscillators were in overbought territory. The label is offset above the candle by half of an ATR and connected with a dashed line, signaling that upside momentum may be overextended and a pause or pullback could follow. 6. Buyer/Seller Trap Module 6.1 Concept A bull trap occurs when price appears to break above resistance, attracting buyers, but fails to sustain the move and quickly reverses, leaving a long upper wick and trapping late entrants. A bear trap is the opposite: price breaks below support, lures in sellers, then snaps back, leaving a long lower wick and trapping shorts. This module detects such traps by looking for price structure sweeps, order‑flow mismatches and dominance reversals. It uses a scoring system to differentiate risk from confirmed traps. 6.2 Inputs • trap_lookback_len: Window length used to rank extremes and detect sweeps. • trap_wick_threshold: Minimum proportion of a bar’s range that must be wick (upper for bull traps, lower for bear traps) to qualify as a sweep. • trap_score_risk: Minimum aggregated score required to flag a trap risk. (The code defines a trap_score_confirm input, but confirmation is actually based on price reversal rather than a separate score threshold.) • trap_confirm_bars: Maximum number of bars allowed for price to reverse and confirm the trap. If price does not reverse in this window, the risk label will expire or remain unconfirmed. • Label settings: ATR length and multiplier for offsetting, size, colours for risk and confirmed labels, and connector style and width. Separate settings exist for bull and bear traps. • Toggle inputs: show_trap_module and show_trap_labels enable the module and control whether labels are drawn on the chart. 6.3 Scoring logic The module assigns points to several conditions and sums them to determine whether a trap risk is present. For bull traps, the score is built from the following (bear traps mirror the logic with highs and lows swapped): 1. Sweep (2 points): Price trades above the high pivot (HH1) but fails to close above it and leaves a long upper wick at least trap_wick_threshold × range. For bear traps, price dips below the low pivot (LL1), fails to close below and leaves a long lower wick. 2. Close break (1 point): Price closes beyond HH1 or LL1 without leaving a long wick. 3. Candle/delta mismatch (2 points): The candle closes bullish yet the order flow delta is negative or the seller ratio exceeds 50%, indicating hidden supply. Conversely, a bearish close with positive delta or buyer dominance suggests hidden demand. 4. Dominance inversion (2 points): The current bar’s buyer volume has the highest rank in the lookback window while cumulative sums favor sellers, or vice versa. 5. Low‑volume break (1 point): Price crosses the pivot but total volume is below its moving average. The total score for each side is compared to trap_score_risk. If the score is high enough, a “Bull Trap Risk” or “Bear Trap Risk” label is drawn, offset from the candle by half of an ATR‑scaled distance using a dashed outline. If, within trap_confirm_bars, price reverses beyond the opposite level—drops back below the high pivot for bull traps or rises above the low pivot for bear traps—the label is upgraded to a solid “Bull Trap” or “Bear Trap” . In this version of the code, there is no separate score threshold for confirmation: the variable trap_score_confirm is unused; confirmation depends solely on a successful price reversal within the specified number of bars. Figure caption, In this example the trap module has flagged a Bear Trap Risk. Price initially breaks below the most recent low pivot (LL1), but the bar closes back above that level and leaves a long lower wick, suggesting a failed push lower. Combined with a mismatch between the candle direction and the order flow (buyers regain control) and a reversal in volume dominance, the aggregate score exceeds the risk threshold, so a dashed “Bear Trap Risk” label prints beneath the bar. The green and red trend lines mark the current low and high pivot trajectories, while the horizontal dashed lines show the highest and lowest values in the lookback window. If, within the next few bars, price closes decisively above the support, the risk label would upgrade to a solid “Bear Trap” label. Figure caption, In this example the trap module has identified both ends of a price range. Near the highs, price briefly pushes above the descending red trendline and the recent pivot high, but fails to close there and leaves a noticeable upper wick. That combination of a sweep above resistance and order‑flow mismatch generates a Bull Trap Risk label with a dashed outline, warning that the upside break may not hold. At the opposite extreme, price later dips below the green trendline and the labelled low pivot, then quickly snaps back and closes higher. The long lower wick and subsequent price reversal upgrade the previous bear‑trap risk into a confirmed Bear Trap (solid label), indicating that sellers were caught on a false breakdown. Horizontal dashed lines mark the highest high and lowest low of the lookback window, while the red and green diagonals connect the earliest and latest pivot highs and lows to visualize the range. 7. Sharp Move Module 7.1 Concept Markets sometimes display absorption or climax behavior—periods when one side steadily gains the upper hand before price breaks out with a sharp move. This module evaluates several order‑flow and volume conditions to anticipate such moves. Users can choose how many conditions must be met to flag a risk and how many (plus a price break) are required for confirmation. 7.2 Inputs • sharp Lookback: Number of bars in the window used to compute moving averages, sums, percentile ranks and reference levels. • sharpPercentile: Minimum percentile rank for the current side’s volume; the current buy (or sell) volume must be greater than or equal to this percentile of historical volumes over the lookback window. • sharpVolMult: Multiplier used in the volume climax check. The current side’s volume must exceed this multiple of its average to count as a climax. • sharpRatioThr: Minimum dominance ratio (current side’s volume relative to the opposite side) used in both the instant and cumulative dominance checks. • sharpChurnThr: Maximum ratio of a bar’s range to its ATR for absorption/churn detection; lower values indicate more absorption (large volume in a small range). • sharpScoreRisk: Minimum number of conditions that must be true to print a risk label. • sharpScoreConfirm: Minimum number of conditions plus a price break required for confirmation. • sharpCvdThr: Threshold for cumulative delta divergence versus price change (positive for bullish accumulation, negative for bearish distribution). • Label settings: ATR length (sharpATRlen) and multiplier (sharpLabelMult) for positioning labels, label size, colors and connector styles for bullish and bearish sharp moves. • Toggles: enableSharp activates the module; show_sharp_labels controls whether labels are drawn. 7.3 Conditions (six per side) For each side, the indicator computes six boolean conditions and sums them to form a score: 1. Dominance (instant and cumulative): – Instant dominance: current buy volume ≥ sharpRatioThr × current sell volume. – Cumulative dominance: sum of buy volumes over the window ≥ sharpRatioThr × sum of sell volumes (and vice versa for bearish checks). 2. Accumulation/Distribution divergence: Over the lookback window, cumulative delta rises by at least sharpCvdThr while price fails to rise (bullish), or cumulative delta falls by at least sharpCvdThr while price fails to fall (bearish). 3. Volume climax: The current side’s volume is ≥ sharpVolMult × its average and the product of volume and bar range is the highest in the lookback window. 4. Absorption/Churn: The current side’s volume divided by the bar’s range equals the highest value in the window and the bar’s range divided by ATR ≤ sharpChurnThr (indicating large volume within a small range). 5. Percentile rank: The current side’s volume percentile rank is ≥ sharp Percentile. 6. Mirror logic for sellers: The above checks are repeated with buyer and seller roles swapped and the price break levels reversed. Each condition that passes contributes one point to the corresponding side’s score (0 or 1). Risk and confirmation thresholds are then applied to these scores. 7.4 Scoring and labels • Risk: If scoreBull ≥ sharpScoreRisk, a “Sharp ↑ Risk” label is drawn above the bar. If scoreBear ≥ sharpScoreRisk, a “Sharp ↓ Risk” label is drawn below the bar. • Confirmation: A risk label is upgraded to “Sharp ↑” when scoreBull ≥ sharpScoreConfirm and the bar closes above the highest recent pivot (HH1); for bearish cases, confirmation requires scoreBear ≥ sharpScoreConfirm and a close below the lowest pivot (LL1). • Label positioning: Labels are offset from the candle by ATR × sharpLabelMult (full ATR times multiplier), not half, and may include a dashed or dotted connector line if enabled. Figure caption, In this chart both bullish and bearish sharp‑move setups have been flagged. Earlier in the range, a “Sharp ↓ Risk” label appears beneath a candle: the sell‑side score met the risk threshold, signaling that the combination of strong sell volume, dominance and absorption within a narrow range suggested a potential sharp decline. The price did not close below the lower pivot, so this label remains a “risk” and no confirmation occurred. Later, as the market recovered and volume shifted back to the buy side, a “Sharp ↑ Risk” label prints above a candle near the top of the channel. Here, buy‑side dominance, cumulative delta divergence and a volume climax aligned, but price has not yet closed above the upper pivot (HH1), so the alert is still a risk rather than a confirmed sharp‑up move. Figure caption, In this chart a Sharp ↑ label is displayed above a candle, indicating that the sharp move module has confirmed a bullish breakout. Prior bars satisfied the risk threshold — showing buy‑side dominance, positive cumulative delta divergence, a volume climax and strong absorption in a narrow range — and this candle closes above the highest recent pivot, upgrading the earlier “Sharp ↑ Risk” alert to a full Sharp ↑ signal. The green label is offset from the candle with a dashed connector, while the red and green trend lines trace the high and low pivot trajectories and the dashed horizontals mark the highest and lowest values of the lookback window. 8. Market‑Maker / Spread‑Capture Module 8.1 Concept Liquidity providers often “capture the spread” by buying and selling in almost equal amounts within a very narrow price range. These bars can signal temporary congestion before a move or reflect algorithmic activity. This module flags bars where both buyer and seller volumes are high, the price range is only a few ticks and the buy/sell split remains close to 50%. It helps traders spot potential liquidity pockets. 8.2 Inputs • scalpLookback: Window length used to compute volume averages. • scalpVolMult: Multiplier applied to each side’s average volume; both buy and sell volumes must exceed this multiple. • scalpTickCount: Maximum allowed number of ticks in a bar’s range (calculated as (high − low) / minTick). A value of 1 or 2 captures ultra‑small bars; increasing it relaxes the range requirement. • scalpDeltaRatio: Maximum deviation from a perfect 50/50 split. For example, 0.05 means the buyer share must be between 45% and 55%. • Label settings: ATR length, multiplier, size, colors, connector style and width. • Toggles : show_scalp_module and show_scalp_labels to enable the module and its labels. 8.3 Signal When, on the current bar, both TF_buy_breakout and TF_sell_breakout exceed scalpVolMult times their respective averages and (high − low)/minTick ≤ scalpTickCount and the buyer share is within scalpDeltaRatio of 50%, the module prints a “Spread ↔” label above the bar. The label uses the same ATR offset logic as other modules and draws a connector if enabled. Figure caption, In this chart the spread‑capture module has identified a potential liquidity pocket. Buyer and seller volumes both spiked above their recent averages, yet the candle’s range measured only a couple of ticks and the buy/sell split stayed close to 50 %. This combination met the module’s criteria, so it printed a grey “Spread ↔” label above the bar. The red and green trend lines link the earliest and latest high and low pivots, and the dashed horizontals mark the highest high and lowest low within the current lookback window. 9. Money Flow Module 9.1 Concept To translate volume into a monetary measure, this module multiplies each side’s volume by the closing price. It tracks buying and selling system money default currency on a per-bar basis and sums them over a chosen period. The difference between buy and sell currencies (Δ$) shows net inflow or outflow. 9.2 Inputs • mf_period_len_mf: Number of bars used for summing buy and sell dollars. • Label appearance settings: ATR length, multiplier, size, colors for up/down labels, and connector style and width. • Toggles: Use enableMoneyFlowLabel_mf and showMFLabels to control whether the module and its labels are displayed. 9.3 Calculations • Per-bar money: Buy $ = TF_buy_breakout × close; Sell $ = TF_sell_breakout × close. Their difference is Δ$ = Buy $ − Sell $. • Summations: Over mf_period_len_mf bars, compute Σ Buy $, Σ Sell $ and ΣΔ$ using math.sum(). • Info table entries: Rows 9–13 display these values as texts like “↑ USD 1234 (1M)” or “ΣΔ USD −5678 (14)”, with colors reflecting whether buyers or sellers dominate. • Money flow status: If Δ$ is positive the bar is marked “Money flow in” ; if negative, “Money flow out” ; if zero, “Neutral”. The cumulative status is similarly derived from ΣΔ.Labels print at the bar that changes the sign of ΣΔ, offset using ATR × label multiplier and styled per user preferences. Figure caption, The chart illustrates a steady rise toward the highest recent pivot (HH1) with price riding between a rising green trend‑line and a red trend‑line drawn through earlier pivot highs. A green Money flow in label appears above the bar near the top of the channel, signaling that net dollar flow turned positive on this bar: buy‑side dollar volume exceeded sell‑side dollar volume, pushing the cumulative sum ΣΔ$ above zero. In the info table, the “Money flow (bar)” and “Money flow Σ” rows both read In, confirming that the indicator’s money‑flow module has detected an inflow at both bar and aggregate levels, while other modules (pivots, trend lines and support/resistance) remain active to provide structural context. In this example the Money Flow module signals a net outflow. Price has been trending downward: successive high pivots form a falling red trend‑line and the low pivots form a descending green support line. When the latest bar broke below the previous low pivot (LL1), both the bar‑level and cumulative net dollar flow turned negative—selling volume at the close exceeded buying volume and pushed the cumulative Δ$ below zero. The module reacts by printing a red “Money flow out” label beneath the candle; the info table confirms that the “Money flow (bar)” and “Money flow Σ” rows both show Out, indicating sustained dominance of sellers in this period. 10. Info Table 10.1 Purpose When enabled, the Info Table appears in the lower right of your chart. It summarises key values computed by the indicator—such as buy and sell volume, delta, total volume, breakout status, market phase, and money flow—so you can see at a glance which side is dominant and which signals are active. 10.2 Symbols • ↑ / ↓ — Up (↑) denotes buy volume or money; down (↓) denotes sell volume or money. • MA — Moving average. In the table it shows the average value of a series over the lookback period. • Σ (Sigma) — Cumulative sum over the chosen lookback period. • Δ (Delta) — Difference between buy and sell values. • B / S — Buyer and seller share of total volume, expressed as percentages. • Ref. Price — Reference price for breakout calculations, based on the latest pivot. • Status — Indicates whether a breakout condition is currently active (True) or has failed. 10.3 Row definitions 1. Up volume / MA up volume – Displays current buy volume on the lower timeframe and its moving average over the lookback period. 2. Down volume / MA down volume – Shows current sell volume and its moving average; sell values are formatted in red for clarity. 3. Δ / ΣΔ – Lists the difference between buy and sell volume for the current bar and the cumulative delta volume over the lookback period. 4. Σ / MA Σ (Vol/MA) – Total volume (buy + sell) for the bar, with the ratio of this volume to its moving average; the right cell shows the average total volume. 5. B/S ratio – Buy and sell share of the total volume: current bar percentages and the average percentages across the lookback period. 6. Buyer Rank / Seller Rank – Ranks the bar’s buy and sell volumes among the last (n) bars; lower rank numbers indicate higher relative volume. 7. Σ Buy / Σ Sell – Sum of buy and sell volumes over the lookback window, indicating which side has traded more. 8. Breakout UP / DOWN – Shows the breakout thresholds (Ref. Price) and whether the breakout condition is active (True) or has failed. 9. Market Phase (Vol) – Reports the current volume‑only phase: Accumulation, Distribution or Neutral. 10. Money Flow – The final rows display dollar amounts and status: – ↑ USD / Σ↑ USD – Buy dollars for the current bar and the cumulative sum over the money‑flow period. – ↓ USD / Σ↓ USD – Sell dollars and their cumulative sum. – Δ USD / ΣΔ USD – Net dollar difference (buy minus sell) for the bar and cumulatively. – Money flow (bar) – Indicates whether the bar’s net dollar flow is positive (In), negative (Out) or neutral. – Money flow Σ – Shows whether the cumulative net dollar flow across the chosen period is positive, negative or neutral. The chart above shows a sequence of different signals from the indicator. A Bull Trap Risk appears after price briefly pushes above resistance but fails to hold, then a green Accum label identifies an accumulation phase. An upward breakout follows, confirmed by a Money flow in print. Later, a Sharp ↓ Risk warns of a possible sharp downturn; after price dips below support but quickly recovers, a Bear Trap label marks a false breakdown. The highlighted info table in the center summarizes key metrics at that moment, including current and average buy/sell volumes, net delta, total volume versus its moving average, breakout status (up and down), market phase (volume), and bar‑level and cumulative money flow (In/Out). 11. Conclusion & Final Remarks This indicator was developed as a holistic study of market structure and order flow. It brings together several well‑known concepts from technical analysis—breakouts, accumulation and distribution phases, overbought and oversold extremes, bull and bear traps, sharp directional moves, market‑maker spread bars and money flow—into a single Pine Script tool. Each module is based on widely recognized trading ideas and was implemented after consulting reference materials and example strategies, so you can see in real time how these concepts interact on your chart. A distinctive feature of this indicator is its reliance on per‑side volume: instead of tallying only total volume, it separately measures buy and sell transactions on a lower time frame. This approach gives a clearer view of who is in control—buyers or sellers—and helps filter breakouts, detect phases of accumulation or distribution, recognize potential traps, anticipate sharp moves and gauge whether liquidity providers are active. The money‑flow module extends this analysis by converting volume into currency values and tracking net inflow or outflow across a chosen window. Although comprehensive, this indicator is intended solely as a guide. It highlights conditions and statistics that many traders find useful, but it does not generate trading signals or guarantee results. Ultimately, you remain responsible for your positions. Use the information presented here to inform your analysis, combine it with other tools and risk‑management techniques, and always make your own decisions when trading.

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ATAI Volume Pressure Analyzer V 1.0 — Pure Up/Down ATAI Volume Pressure Analyzer V 1.0 — Pure Up/Down Overview Volume is a foundational tool for understanding the supply–demand balance. Classic charts show only total volume and don’t tell us what portion came from buying (Up) versus selling (Down). The ATAI Volume Pressure Analyzer fills that gap. Built on Pine Script v6, it scans a lower timeframe to estimate Up/Down volume for each host‑timeframe candle, and presents “volume pressure” in a compact HUD table that’s comparable across symbols and timeframes. 1) Architecture & Global Settings Global Period (P, bars) A single global input P defines the computation window. All measures—host‑TF volume moving averages and the half‑window segment sums—use this length. Default: 55. Timeframe Handling The core of the indicator is estimating Up/Down volume using lower‑timeframe data. You can set a custom lower timeframe, or rely on auto‑selection: ◉ Second charts → 1S ◉ Intraday → 1 minute ◉ Daily → 5 minutes ◉ Otherwise → 60 minutes Lower TFs give more precise estimates but shorter history; higher TFs approximate buy/sell splits but provide longer history. As a rule of thumb, scan thin symbols at 5–15m, and liquid symbols at 1m. 2) Up/Down Volume & Derived Series The script uses TradingView’s library function tvta.requestUpAndDownVolume(lowerTf) to obtain three values: ◉ Up volume (buyers) ◉ Down volume (sellers) ◉ Delta (Up − Down) From these we define: ◉ TF_buy = |Up volume| ◉ TF_sell = |Down volume| ◉ TF_tot = TF_buy + TF_sell ◉ TF_delta = TF_buy − TF_sell A positive TF_delta indicates buyer dominance; a negative value indicates selling pressure. To smooth noise, simple moving averages of TF_buy and TF_sell are computed over P and used as baselines. 3) Key Performance Indicators (KPIs) Half‑window segmentation To track momentum shifts, the P‑bar window is split in half: ◉ C→B: the older half ◉ B→A: the newer half (toward the current bar) For each half, the script sums buy, sell, and delta. Comparing the two halves reveals strengthening/weakening pressure. Example: if AtoB_delta < CtoB_delta, recent buying pressure has faded. [ 4) HUD (Table) Display /i] Colors & Appearance Two main color inputs define the theme: a primary color and a negative color (used when Δ is negative). The panel background uses a translucent version of the primary color; borders use the solid primary color. Text defaults to the primary color and flips to the negative color when a block’s Δ is negative. Layout The HUD is a 4×5 table updated on the last bar of each candle: ◉ Row 1 (Meta): indicator name, P length, lower TF, host TF ◉ Row 2 (Host TF): current ↑Buy, ↓Sell, ΔDelta; plus Σ total and SMA(↑/↓) ◉ Row 3 (Segments): C→B and B→A blocks with ↑/↓/Δ ◉ Rows 4–5: reserved for advanced modules (Wings, α/β, OB/OS, Top 5) Advanced Modules 5.1 Wings “Wings” visualize volume‑driven movement over C→B (left wing) and B→A (right wing) with top/bottom lines and a filled band. Slopes are ATR‑per‑bar normalized for cross‑symbol/TF comparability and converted to angles (degrees). Coloring mirrors HUD sign logic with a near‑zero threshold (default ~3°): ◉ Both lines rising → blue (bullish) ◉ Both falling → red (bearish) ◉ Mixed/near‑zero → gray Left wing reflects the origin of the recent move; right wing reflects the current state. 5.2 α / β at Point B We compute the oriented angle between the two wings at the midpoint B: β is the bottom‑arc angle; α = 360° − β is the top‑arc angle. ◉ Large α (>180°) or small β (<180°) flags meaningful imbalance. ◉ Intuition: large α suggests potential selling pressure; small β implies fragile support. HUD cells highlight these conditions. 5.3 OB/OS Spike OverBought/OverSold (OB/OS) labels appear when directional volume spikes align with a 7‑oscillator vote (RSI, Stoch, %R, CCI, MFI, DeMarker, StochRSI). ◉ OB label (red): unusually high sell volume + enough OB votes ◉ OS label (teal): unusually high buy volume + enough OS votes Minimum votes and sync window are user‑configurable; dotted connectors can link labels to the candle wick. 5.4 Top3 Volume Peaks Within the P window the script ranks the top three BUY peaks (B1–B3) and top three SELL peaks (S1–S3). ◉ B1 and S1 are drawn as horizontal resistance (at B1 High) and support (at S1 Low) zones with adjustable thickness (ticks/percent/ATR). ◉ The HUD dedicates six cells to show ↑/↓/Δ for each rank, and prints the exact High (B1) and Low (S1) inline in their cells. 6) Reading the HUD — A Quick Checklist ◉ Meta: Confirm P and both timeframes (host & lower). ◉ Host TF block: Compare current ↑/↓/Δ against their SMAs. ◉ Segments: Contrast C→B vs B→A deltas to gauge momentum change. ◉ Wings: Right‑wing color/angle = now; left wing = recent origin. ◉ α / β: Look for α > 180° or β < 180° as imbalance cues. ◉ OB/OS: Note labels, color (red/teal), and the vote count. ◉Top3: Keep B1 (resistance) and S1 (support) on your radar. Use these together to sketch scenarios and invalidation levels; never rely on a single signal in isolation. [ 7) Example Highlights (What the table conveys) /i] ◉ Row 1 shows the indicator name, the analysis length P (default 55), and both TFs used for computation and display. ◉ B1 / S1 blocks summarize each side’s peak within the window, with Δ indicating buyer/seller dominance at that peak and inline price (B1 High / S1 Low) for actionable levels. ◉ Angle cells for each wing report the top/bottom line angles vs. the horizontal, reflecting the directional posture. ◉ Ranks B2/B3 and S2/S3 extend context beyond the top peak on each side. ◉ α / β cells quantify the orientation gap at B; changes reflect shifting buyer/seller influence on trend strength. Together these visuals often reveal whether the “wings” resemble a strong, upward‑tilted arm supported by buyer volume—but always corroborate with your broader toolkit 8) Practical Tips & Tuning ◉ Choose P by market structure. For daily charts, 34–89 bars often works well. ◉ Lower TF choice: Thin symbols → 5–15m; liquid symbols → 1m. ◉ Near‑zero angle: In noisy markets, consider 5–7° instead of 3°. ◉ OB/OS votes: Daily charts often work with 3–4 votes; lower TFs may prefer 4–5. ◉ Zone thickness: Tie B1/S1 zone thickness to ATR so it scales with volatility. ◉ Colors: Feel free to theme the primary/negative colors; keep Δ<0 mapped to the negative color for readability. Combine with price action: Use this indicator alongside structure, trendlines, and other tools for stronger decisions. Technical Notes Pine Script v6. ◉ Up/Down split via TradingView/ta library call requestUpAndDownVolume(lowerTf). ◉ HUD‑first design; drawings for Wings/αβ/OBOS/Top3 align with the same sign/threshold logic used in the table. Disclaimer: This indicator is provided solely for educational and analytical purposes. It does not constitute financial advice, nor is it a recommendation to buy or sell any security. Always conduct your own research and use multiple tools before making trading decisions.

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Pilih data pasaran disediakan oleh ICE Data Services. Pilih data rujukan disediakan oleh FactSet. Copyright © 2026 FactSet Research Systems Inc.Copyright © 2026, American Bankers Association. Rangkaian data CUSIP disediakan oleh FactSet Research Systems Inc. Semua hak cipta terpelihara. Pengisian SEC dan dokumen lain disediakan oleh Quartr.© 2026 TradingView, Inc.

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