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NYC Midnight LITE [Takeda Trades 2026]NYC Midnight LITE by @TakedaTradesOfficial v1 01/09/2026 ═══════════════════════════════════════════════════════════════ NYC Midnight LITE Indicator What This Indicator Does This is a NYC Midnight Opening Range indicator that tracks the first hour of trading (00:00 - 01:00 EST) and uses it to identify potential trading opportunities throughout the day. Core Concept The indicator is based on the premise that the first hour of the New York trading day (midnight EST) establishes key price levels that often act as support/resistance for the remainder of the session. This is a popular ICT (Inner Circle Trader) concept. ═══════════════════════════════════════════════════════════════ Visual Elements Explained 1. Yellow Box (Hour 1 Range) • Shows the HIGH and LOW established during 00:00-01:00 EST • The box stops at the end of Hour 1 • The HIGH and LOW lines extend to current price for easy reference 2. Yellow Dashed Line (Midline) • The middle point between Hour 1 high and low • Often acts as a pivot - price may reverse here or use it as support/resistance 3. Black Lines (Open & Close) • First line: The OPEN price of the very first candle at 00:00 • Second line: The CLOSE price of the very first candle • These show immediate directional bias 4. Orange Vertical Line • Marks the start of each new trading day at midnight EST • Helps you identify session boundaries 5. Candle Colors • Yellow candles: Currently in Hour 1 (00:00-01:00) • Green candles: Price above Hour 1 high (bullish breakout) • Red candles: Price below Hour 1 low (bearish breakout) • Gray candles: Price inside Hour 1 range (consolidation) ═══════════════════════════════════════════════════════════════ How to Trade With This Indicator Strategy 1: Breakout Trading (Most Common) LONG Setup: 1. Wait for Hour 1 to complete (01:00 EST) 2. Enter when price closes above the yellow Hour 1 HIGH 3. Stop loss: Below Hour 1 low or midline 4. Target: Previous day high, or 1.5-2x the Hour 1 range SHORT Setup: 1. Wait for Hour 1 to complete 2. Enter when price closes below the yellow Hour 1 LOW 3. Stop loss: Above Hour 1 high or midline 4. Target: Previous day low, or 1.5-2x the Hour 1 range Tips: • Stronger breakouts often happen during London session (2:00-5:00 EST) or NY open (9:30 EST) • Use the alerts to notify you when breakouts occur ───────────────────────────────────────────────────────────── Strategy 2: Range Reversion (Contrarian) If price breaks out but lacks momentum: • Wait for price to reenter the Hour 1 range • Trade back toward the midline or opposite boundary • Best during low-volatility sessions ───────────────────────────────────────────────────────────── Strategy 3: Midline Bounce The yellow dashed midline often acts as support/resistance: • If price is above midline: Look for bounces off midline to go long • If price is below midline: Look for rejections at midline to go short • Works well during choppy/ranging days ───────────────────────────────────────────────────────────── Strategy 4: First Candle Bias The black lines (first candle open/close) show early directional intent: • Close > Open: Bullish bias - favor longs on pullbacks • Close < Open: Bearish bias - favor shorts on rallies • These lines often act as intraday support/resistance ═══════════════════════════════════════════════════════════════ Best Practices Timeframes • Best on: 1-minute, 5-minute, 15-minute charts • The indicator tracks NYC time, so it works on any timezone Markets • Forex pairs: EUR/USD, GBP/USD, USD/JPY (high liquidity) • Indices: ES, NQ futures, SPY (active during NYC session) • Crypto: BTC, ETH (24/7 markets with strong NYC midnight volatility) Risk Management • The Hour 1 range gives you natural stop-loss levels • Risk 1-2% per trade • If the range is very small (<10 pips/points), wait for expansion ═══════════════════════════════════════════════════════════════ What the Settings Mean • Show Hour 1 Box: Displays the yellow range box • Show Midline: Shows the dashed middle line • Color Hour 1 Candles Yellow: Highlights the first hour • Color Candles Based on Range: Green/Red/Gray based on position • Show Labels: Displays "NYC 00:00" marker • Box Transparency: Adjust visibility of the yellow box ═══════════════════════════════════════════════════════════════ Common Scenarios Bullish Day Example: • Hour 1 range forms: High at 4500, Low at 4480 • At 3:00 EST, price breaks above 4500 (green candles) • Enter long, stop at 4490 (midline), target 4530 Bearish Day Example: • Hour 1 range: High 1.0850, Low 1.0830 • Price breaks below 1.0830 at London open • Enter short, stop at 1.0840 (midline), target 1.0810 Ranging Day Example: • Small Hour 1 range forms • Price chops between high/low all day (gray candles) • Avoid breakout trades - fade extremes back to midline instead ═══════════════════════════════════════════════════════════════ Key Takeaways ✅ Wait for Hour 1 to complete before making decisions ✅ Clean breaks with strong candles are more reliable ✅ Combine with other confluences (support/resistance, market structure) ✅ The midline is your friend - watch for reactions there ✅ Alerts will notify you of breakouts automatically This is a framework, not a crystal ball. Use proper risk management and combine with your trading plan!
Indicador Pine Script®
por TakedaTradesOfficial
Recurring Trading DaysRecurring Trading Days is a professional calendar-based market overlay that highlights the most important time-driven structures used by institutional traders. The indicator maps recurring trading days directly onto the price chart, revealing how liquidity, volatility, and positioning change throughout the month. It displays: Weekdays (blue gradient) Each weekday can be enabled or disabled individually. This reveals weekly behavioral patterns and rhythm in market activity. N-th Trading Day of the Month (white) Marks the first, second, third or any selected trading day of each month. This is where institutional flows, pension allocations and portfolio rebalancing typically enter the market. NFP Friday (green) The first Friday of every month when the US Non-Farm Payrolls report is released. One of the highest-impact macroeconomic trading days. Monthly Options Expiration - OPEX (red) The third Friday of each month when index and equity options expire. Dealer hedging and gamma effects often create reversals or strong directional moves. Quarterly Options and Futures Expiration (purple) The third Friday of March, June, September and December. This is the most important expiration day of the quarter, when options, futures and index products roll simultaneously. Anniversaries and Fixed Dates (orange) Unlimited recurring calendar dates in the format DD.MM;DD.MM;... Useful for seasonal cycles, historical market turning points or personal trading rules. The indicator uses a strict visual priority: Fixed Dates > Quarterly OPEX > Monthly OPEX > NFP > N-th Trading Day > Weekdays This ensures that the most important institutional events are always visible.
Indicador Pine Script®
por Krypt0n85
Volatility Ranges LABDescription This is the "LAB" edition of a comprehensive Volatility Analysis System designed for precision trading. It combines multi-timeframe statistical ranges (ADR, AWR, AMR) with a real-time Data Dashboard to visualize expected market moves. Underlying Concepts & Methodology The indicator calculates volatility based on historical averages using either SMA or RMA (Wilder's Smoothing). Anchoring: Projects ranges from the opening price. Includes a specialized NY Midnight Open (00:00 EST) anchor for accurate Forex alignments. Projections: Plots standard volatility limits (100%) and exhaustion extensions (up to 200%) to identify overextended price action. Dashboard: A built-in panel monitors the current status of all three timeframes (Daily, Weekly, Monthly), acting as a risk scanner. Key Features 3 Timeframes: Simultaneous Daily (ADR), Weekly (AWR), and Monthly (AMR) levels. Expansion Zones: Optional levels (125%, 150%, 200%) to spot extreme reversals. Smart Dashboard: Color-coded table indicating risk levels (Traffic Light system). Customization: Full control over colors, line styles, and label visibility. How to Use Targeting: Use the 100% lines as statistical take-profit zones. Reversals: When price reaches expansion zones (e.g., 125% of ADR), the probability of a reversal increases significantly. Dashboard: Use it to check if the asset has already consumed its average range for the day/week. To comply with House Rules regarding non-English UI, here is the translation of the script's settings menu: 0. Rótulos (Labels) Tamanho do Texto = Text Size Mostrar Período/Nome/Preço = Show Period/Name/Price Mostrar Variação Real % = Show Real % Variation 1. Geral (General) Escala do Gráfico = Chart Scale (Linear/Log) Método de Cálculo = Calculation Method (SMA/RMA) 2. ADR (Daily Settings) Ativar ADR = Enable ADR Período Média = Average Period (Days) Usar NY Midnight Open = Use NY Midnight Open Projeção Futura = Future Projection (Bars) Mostrar Expansões = Show Expansions (125-200%) Estilo/Espessura = Style/Width Cor Máxima/Mínima = High/Low Color Mostrar Terços/25%/50% = Show Thirds/25%/50% 3. AWR (Weekly Settings) Ativar AWR = Enable AWR Período Média = Average Period (Weeks) Usar Abertura Semanal = Use Weekly Open Ref 4. AMR (Monthly Settings) Ativar AMR = Enable AMR Período Média = Average Period (Months) 5. Dashboard Mostrar Dashboard = Show Dashboard Tema de Fundo = Background Theme (Dark/Light) Unidade de Medida = Unit (Points/Pips) Psicologia das Cores = Color Psychology (Traffic Light/Heatmap) Posição na Tela = Screen Position
Indicador Pine Script®
por marcaoemail_1
First Candle com TargetsThis Pine Script implements a "First Candle of the Day" breakout strategy with targets: Strategy Logic: Identifies the first hourly candle of each trading day Calculates the high, low, and range (distance) of that candle Draws four horizontal levels on the chart: High level (red solid line) Low level (green solid line) Buy target (blue dashed): High + Daily Range Sell target (purple dashed): Low - Daily Range Generates signals when price breaks above/below these levels: BUY signal: When price closes ABOVE the Buy target (High + Range) SELL signal: When price closes BELOW the Sell target (Low - Range) Visualizes all levels with labels showing exact price values Key Features: Uses 1-hour timeframe Lines extend 500 bars forward from the first candle Automatic cleanup and update of levels each new day Includes alert conditions for automated trading notifications Marks the first candle of each day with a blue label Trading Approach: Breakout long when price exceeds the first candle's high by its full daily range Breakout short when price falls below the first candle's low by its full daily range The strategy assumes the first candle's range establishes intraday volatility boundaries
Indicador Pine Script®
por itasouza
Statistical Map [Pro]+ | Algo Matrix |StatMap + Dynamic Volatility StatMap + is an advanced statistical engine designed to map the "heartbeat" of price action. Unlike standard indicators that lag, StatMap projects statistical distributions (Mean, Deviation, and Extremes) based on historical data, giving you a roadmap for the current session. This version introduces Dynamic Volatility Injection. The indicator creates a composite volatility heatmap that "travels" with live price action, lighting up the specific zone (M1, M2, or D) where the price is currently trading. 🧩 Key Features 1. The Statistical Zones ( The Map ) Price is divided into three predictive distinct zones based on the Opening price: M1 (The Heart): The baseline statistical average. This is the "Fair Value" area. M2 (The Expansion): The standard deviation zone. When price breaks M1, it typically seeks M2. D (The Distribution): The statistical extreme. These are high-probability reversal or exhaustion points. 2. Dynamic Volatility Injection ( The Fuel ) This is the core innovation. The indicator calculates time-based volatility buckets (historical activity for specific times of day). Live Adaptation: The heatmap colors don't just sit on one line. If price is consolidating near Open, M1 glows with the volatility colors. If price breaks M1 (Trend/Expansion), the volatility colors jump to M2. If price hits an extreme, the colors jump to D. Heatmap Colors: 🔵 Blue: Low expected volatility (Consolidation/Wait). 🟠 Orange: Normal volatility (Active trading). 🔴 Red: High volatility (Impact news/Major moves). 3. Future Projection The indicator projects the currently active zone forward into the future. This allows you to anticipate when high volatility is coming before the candle even prints. 4. Time Sectors Vertical dividers split your session into trading blocks (e.g., every 4 hours or 6 hours), helping you visualize session changes and time-based reversals.
Indicador Pine Script®
por NetNine
GOLD QUANTUM MASTER🥇 GOLD QUANTUM MASTER 🥇 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ A high-performance technical analysis suite engineered for institutional-grade precision on Gold (XAUUSD) and Bitcoin (BTCUSD). This Core Edition focuses on raw analytical power without external API overhead. 🚀 KEY FEATURES: • INSTITUTIONAL FOOTPRINT: Advanced volume-to-MA filters to identify "Big Money" participation. • HTF REVERSAL SCANNER: Specialized logic for 30m, 1H, and 4H charts to detect Pinbar and Engulfing reversals. • LIQUIDITY FLOW ANALYTICS: Detects and highlights Previous Day High (PDH) and Low (PDL) sweeps. • TREND EXHAUSTION FILTERS: Built-in RSI divergence logic to prevent entries at trend peaks or bottoms. • PREMIUM DATA LABELS: Real-time on-chart display of Signal Mode, Quality Score, and dynamic targets. • NEON VISUAL SYSTEM: High-contrast, glassmorphic layout for maximum clarity during trading sessions. BEST FOR: Technical Analysts, Manual Traders, and High-Performance Charting. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The best work on Higher time frames, I still not tested on lower time frames, but should be also precise. Feel free to adjust the settings to your own needs. Make your own decisions when you trade, do not put all confidence into a script, it may fail also.
Indicador Pine Script®
por Uncle_SamFx
3
Cumulative % Change & Inflation-Adjusted (Auto CPI by Currency)This indicator tracks an asset’s cumulative performance from a user-defined start date (T0) and compares nominal returns with inflation-adjusted (“real”) returns, automatically selecting the appropriate CPI series based on the asset currency (USD or EUR). What it shows Nominal cumulative return (%) from T0, based on the selected price series. Inflation change (%) from T0, using a monthly CPI index: USD assets: US CPI (FRED CPIAUCSL) EUR assets: Euro Area CPI (TradingView Economics EUCPI) Real cumulative return (%) from T0, i.e., nominal return deflated by cumulative CPI. Key inputs T0 (start date): Year / month / day used as the reference point. Asset currency (USD/EUR): Drives automatic CPI selection. Initial capital: Starting value expressed in the asset’s currency; used to display current nominal and real (inflation-adjusted) portfolio value. Performance ticker (optional): Lets you compute performance using a different symbol than the chart (e.g., a total-return series or an accumulating ETF). If left empty, the script uses the chart’s symbol. Outputs Plots Nominal cumulative % change Real (inflation-adjusted) cumulative % change CPI % change Summary table Nominal return % Real return % CPI change % Reference date (T0) Initial value Current nominal value Current inflation-adjusted value Performance ticker used Notes CPI is monthly, so the inflation line updates in steps. If you use a price series that does not include dividends (standard “close”), nominal/real returns may underestimate total return for dividend-paying assets.
Indicador Pine Script®
por AlexGhioldi
NY VWAP 2std to 3std Probabilities + Exit ZonesHow it works: Time buckets Early: 10:30 – 12:00 Mid: 12:00 – 14:00 Late: 14:00 – 16:00 Bands 2σ band (s2up / s2dn) → this is where the “potential breakout” starts. 3σ band (s3up / s3dn) → this is the “target” for the 2→3σ move. Counting logic If during a given bucket, the price touches the 2σ band, it counts as a 2σ hit. If after that, in the same bucket, the price also touches the 3σ band, it counts as a 3σ hit. Probability calculation \text{Probability 2→3σ} = \frac{\text{# of 3σ hits}}{\text{# of 2σ hits}} \times 100 For example, if in the late session the lower 2σ band is hit 10 times, and of those 10 times, 6 eventually hit the lower 3σ band, the script will show 60%. Labels / lines On the chart, Upper/Lower 2→3σ probabilities are displayed per bucket. So yes: “Late Lower 2σ → 3σ: 60%” means: if price touches the lower 2σ band in the late session, historically, 60% of those touches continued to the 3σ band. ⚠ Important caveats: These are historical probabilities, not predictions. Small sample sizes in a bucket can make percentages unstable early in the day. The script only counts session NY bars (0930–1600) and ignores pre-10:30 hits to reduce opening volatility noise.
Indicador Pine Script®
por seanhillis97
Daily Floor PivotsDaily Floor Pivots with Comprehensive Statistical Analysis Overview This indicator combines traditional floor pivot levels with golden zone analysis and comprehensive statistical insights derived from 15 years of historical NQ futures data. While the pivot levels and golden zones can be applied to any instrument, the statistical tables are specifically calibrated for NQ/MNQ futures based on analysis of 2,482 NY Regular Trading Hours (RTH) sessions from 2010-2025. What Makes This Indicator Original Unlike standard pivot indicators that merely plot levels, this tool provides: Enhanced Golden Zone Analysis: Calculates not only the main golden zone (0.5-0.618 retracement of previous day's range) but also golden zones between each pivot pair (PP-R1, R1-R2, R2-R3, PP-S1, S1-S2, S2-S3) Data-Driven Statistical Tables: Two comprehensive tables displaying real statistics from 2,482 trading days of NQ analysis, including: Probability-based touch rates and continuation patterns Context-aware statistics based on opening position Gap analysis and behavioral patterns First touch dynamics and time-to-reach averages Granular Customization: Every visual element and statistical section can be independently toggled, allowing traders to focus on what matters most to their strategy How It Works Pivot Calculation Methodology The indicator uses the standard floor pivot formula based on the previous day's price action: Pivot Point (PP) = (Previous High + Previous Low + Previous Close) / 3 Resistance Levels: R1, R2, R3 calculated from PP and previous range Support Levels: S1, S2, S3 calculated from PP and previous range Golden Zone Calculations Main Golden Zone: The 0.5 to 0.618 Fibonacci retracement of the previous day's range, representing a key reversal and continuation area. Inter-Pivot Golden Zones: For each adjacent pivot pair, golden zones are calculated as: Resistance pairs (PP→R1, R1→R2, R2→R3): 0.5-0.618 range from the lower pivot Support pairs (PP→S1, S1→S2, S2→S3): 0.382-0.5 range from the upper pivot These zones represent high-probability areas where price tends to react when moving between pivot levels. Statistical Analysis Source All statistics displayed in the tables are derived from external Python analysis of 15 years of 1-minute NQ futures data (2010-2025), specifically analyzing NY RTH sessions (9:30 AM - 4:00 PM EST). The analysis tracked: 2,482 complete trading days Intraday pivot touches and closes Opening position context Gap behavior relative to previous day Time-of-day patterns Sequential pivot interactions IMPORTANT: While the pivot levels and golden zones are universally applicable mathematical calculations that work on any instrument, the statistical percentages shown in the tables are specific to NQ/MNQ behavior only. Do not assume these statistics transfer to other instruments. Configuration Guide Basic Settings Number of Periods Back (1-20, default: 3) Controls how many historical pivot periods are displayed on the chart Setting to 1 shows only current day's pivots Higher values show more historical context Labels Position (Left/Right) Choose whether pivot labels appear on the left or right side of each level line Line Width (1-5, default: 2) Adjust the thickness of all pivot and golden zone lines Golden Zone Customization Show Daily Golden Zone (0.5-0.618) Toggle the main golden zone on/off When enabled, displays a shaded box between the 0.5 and 0.618 retracement levels Line Color / Fill Color Customize the appearance of the main golden zone Fill color determines the shaded box transparency Show Labels / Show Prices Control whether "0.5" and "0.618" labels appear Control whether price values are displayed on labels Inter-Pivot Golden Zones Six toggle options allow you to show/hide individual golden zones: PP to R1 / PP to S1: Most frequently touched (60.8% / 50.9%) R1 to R2 / S1 to S2: Moderately touched (25.2% / 24.0%) R2 to R3 / S2 to S3: Rarely touched (9.4% / 10.5%) Line Color / Fill Color: Customize appearance of all inter-pivot zones Show Labels / Show Prices: Control labeling for inter-pivot zones Usage Tip: Disable outer zones (R2-R3, S2-S3) on lower volatility days to reduce chart clutter. Pivot Display Show Support/Resistance Levels: Master toggle for all pivot lines Show SR Labels / Show SR Prices: Control labeling on pivot levels Individual level toggles and colors: PP (Pivot Point): The central reference point R1/S1: Primary resistance/support (38.9% / 35.4% touch rate) R2/S2: Secondary levels (15.6% / 16.1% touch rate) R3/S3: Extended levels (5.1% / 7.3% touch rate) Color Customization: Each level's color can be independently set Overall Statistics Table Show Overall Statistics Table: Master toggle Table Size: tiny/small/normal/large/huge/auto Table Position: Top Left/Top Right/Bottom Left/Bottom Right Section Toggles (enable/disable individual sections): Current Session Info Touch & Close Rates Continue & Reject Rates First Touch Statistics Golden Zone Statistics Daily Close Distribution Highest/Lowest Levels Reached Context Statistics Table Show Context Statistics Table: Master toggle Table Size: tiny/small/normal/large/huge/auto Table Position: Top Left/Top Right/Bottom Left/Bottom Right Section Toggles: Current Opening Zone Opening Zone Statistics Previous Day Gap Context Understanding the Statistical Tables TABLE 1: OVERALL STATISTICS This table presents universal statistics from 2,482 days of NQ analysis. Current Session Info Displays real-time context for the active session: Open: Where the current RTH session opened relative to pivots (e.g., "GZ_TO_R1" means opened between the PP-R1 golden zone and R1) Now: Current price position relative to pivots Direction: Bull (close > open), Bear (close < open), or Flat How to use: This section helps you quickly understand where price opened and where it currently is, providing immediate context for the day's action. Touch & Close Rates Shows probability that each pivot level will be reached during RTH: Touch %: Percentage of days where price touched this level at any point Example: R1 touched 38.9% of days, PP touched 57.5% of days Close %: Percentage of days where price closed beyond this level Example: R1 close beyond happened 39.8% of days How to interpret: Higher touch rates indicate more reliable levels for intraday targeting The difference between touch and close rates shows rejection frequency PP has the highest touch rate (57.5%), making it the most magnetic level Outer levels (R3/S3) have low touch rates (5.1%/7.3%), indicating rare extension days Continue & Reject Rates When a level is touched, these statistics show what happens next: Continue %: Probability price continues through the level Example: When PP is touched, price continues 88.1% of the time Reject %: Probability price rejects from the level and reverses Example: When R1 is touched, price rejects 50.9% of the time How to interpret: PP shows highest continuation (88.1%), confirming it's a poor reversal level Support levels (S1/S2/S3) show strong rejection rates (62.5%/60.7%/56.1%), making them better reversal candidates Continuation rates above 80% suggest the level is better as a target than an entry First Touch Statistics Analyzes which pivot is typically touched first during RTH: 1st Touch %: Probability this level is the first pivot encountered PP is first touched 37.1% of days (most common) R1 is first touched 26.0% of days S1 is first touched 10.9% of days 1st→Continue: If this level is touched first, probability of continuation S1-S3 show 95.6%-100% continuation when touched first This means when price reaches support first, it usually continues lower Avg Time: Minutes after 9:30 AM EST before first touch PP: 1h 6m average S3: 19m average (when bearish) R3: 3h 19m average (when bullish) How to interpret: Opening away from PP means higher probability of reaching extremes (R2/R3 or S2/S3) When support is touched first (within first 2 hours), expect continuation lower Late-day first touches (after 2 PM) often indicate strong trending days Multi-Touch: Shows how often levels are tested multiple times (92.8%-95.0% across all levels) Golden Zone Statistics Main GZ: 58.5% touch rate for the 0.5-0.618 zone Inter-Pivot zones: PP-R1: 60.8% (highest probability) PP-S1: 50.9% R1-R2: 25.2% S1-S2: 24.0% R2-R3: 9.4% S2-S3: 10.5% How to interpret: Main GZ is touched more often than any individual resistance level PP-R1 and PP-S1 golden zones are high-probability mean reversion areas Outer golden zones (R2-R3, S2-S3) are only relevant on high volatility days Daily Close Distribution Shows where RTH sessions typically close: Above/Below PP: 58.5% close above, 41.5% below (slight bullish bias) Above R1: 24.5% of days Below S1: 18.7% of days In GZ: Only 6.3% close in the golden zone (typically transits through it) How to interpret: Most days (58.5%) have bullish bias (close above PP) Less than 25% of days are strong trending days (beyond R1/S1) Golden zone is an action area, not a resting area Highest/Lowest Levels Reached Distribution of the most extreme level reached: High Resist: R1 (26.0%), R2 (10.8%), R3 (5.1%) Low Support: S1 (35.4%), S2 (1.9%), S3 (0.6%) How to interpret: Most days don't reach beyond R1 or S1 R3/S3 are rare events (5.1%/0.6%), indicating major trending days S1 is reached as lowest level more often than R1 as highest, suggesting downside is more frequently tested TABLE 2: CONTEXT STATISTICS This table provides conditional statistics based on how the session opened. Current Opening Zone Displays which of 13 possible zones the RTH session opened in: ABOVE_R3, R2_TO_R3, R1_TO_R2, GZ_TO_R1, IN_GZ, PP_TO_GZ, AT_PP, GZ_TO_PP, S1_TO_GZ, S2_TO_S1, S3_TO_S2, BELOW_S3 How to use: This immediately tells you the market structure and what type of day to expect. Opening Zone Statistics Detailed statistics for the current opening zone (only shows for 6 major zones): For each zone, you see: Occurs: How often this opening scenario happens GZ_TO_R1: 38.4% (most common) AT_PP: 12.8% S1_TO_GZ: 24.2% R1_TO_R2: 9.4% S2_TO_S1: 6.3% IN_GZ: 3.8% Bull/Bear %: Close direction probability Example: GZ_TO_R1 is perfectly balanced (50.0% bull / 49.6% bear) R1_TO_R2 is bullish (58.1% bull / 41.0% bear) Levels Hit: Probability of reaching each pivot level from this opening Helps identify high-probability targets Example: From GZ_TO_R1, PP is hit 52.9%, R1 is hit 49.0%, S1 is hit 21.6% How to interpret: GZ_TO_R1 (most common): Balanced day, watch PP and GZ for direction clues AT_PP: Slight bullish bias (56.9%), high chance of touching both PP (92.8%) and GZ (90.3%) R1_TO_R2: Bullish bias (58.1%), expect continuation to R2 (58.1% chance) S2_TO_S1: Bullish reversal setup (59.9%), very high chance of S1 touch (82.8%) IN_GZ: Rare opening (3.8%), bullish bias, virtually guaranteed GZ touch (100%) Previous Day Gap Context Shows current gap scenario and typical behavior: Three scenarios: GAP UP: Opened Above Yesterday's High (20.5% of days) R1 Touch: 65.9% (high probability) R2 Touch: 42.1% S1 Touch: 15.0% (low probability) Bias: Bullish continuation GAP DOWN: Opened Below Yesterday's Low (11.3% of days) S1 Touch: 71.5% (high probability) S2 Touch: 55.2% R1 Touch: 12.1% (low probability) Bias: Bearish continuation NO GAP: Opened Within Yesterday's Range (68.2% of days) PP Touch: 69.5% GZ Touch: 71.7% R1 Touch: 35.2% Bias: Balanced (watch for direction at PP/GZ) How to interpret: Gap days (up or down) tend to continue in the gap direction When gapping, fade trades are low probability (15.0% and 12.1%) Most days (68.2%) open within previous range, making PP and GZ critical decision zones The "bias" line provides clear directional guidance for trade selection Practical Application Examples Example 1: Standard Day Setup Scenario: RTH opens at 20,450 PP: 20,400 GZ: 20,390-20,395 R1: 20,425 Previous day high: 20,460 What the tables tell you: Opening Zone: "GZ_TO_R1" (38.4% occurrence) Gap Context: "NO GAP" (68.2% occurrence) Expected behavior: Balanced (50/50 bull/bear) High probability: PP touch (52.9%), GZ touch (56.8%) Moderate probability: R1 touch (49.0%), S1 touch (21.6%) Trade plan: Wait for price to reach PP (52.9% chance) or GZ (56.8% chance) Look for directional confirmation at these levels First target R1 if bullish, S1 if bearish Avoid assuming direction without confirmation (perfectly balanced opening) Example 2: Gap Up Day Scenario: RTH opens at 20,510 Previous day high: 20,460 R1: 20,425 R2: 20,475 What the tables tell you: Gap Context: "GAP UP" (20.5% occurrence) R1 touch: 65.9% probability R2 touch: 42.1% probability S1 touch: Only 15.0% probability Bias: Bullish continuation Trade plan: Favor long setups Target R1 first (65.9% chance), then R2 (42.1%) If R1 breaks, R2 becomes likely target Shorting is low probability (only 15.0% reach S1) Example 3: Opening in Golden Zone Scenario: RTH opens at 20,393 PP: 20,400 GZ: 20,390-20,395 What the tables tell you: Opening Zone: "IN_GZ" (rare, only 3.8% occurrence) Bullish bias: 58.1% GZ touch: 100% (guaranteed - already there) PP touch: 75.3% R1 touch: 41.9% Trade plan: Expect price to test PP (75.3% chance) Slight bullish bias suggests long setups better than shorts Watch how price reacts at PP - likely to continue to R1 (41.9%) This is an uncommon opening, suggesting potential for larger moves Best Practices Match Your Instrument: Remember, statistics are NQ-specific. If trading other instruments, use the levels but disregard the statistical percentages. Combine with Price Action: Use the statistics for probability context, not as standalone signals. Always confirm with price action, volume, and your trading methodology. Adapt Table Display: Don't display all sections all the time. Toggle based on your trading phase: Pre-market: Focus on "Gap Context" to understand the setup Market open: Watch "Opening Zone Statistics" for directional bias Intraday: Monitor "Current Session Info" for position tracking Understand Context: A 60% touch rate doesn't mean guaranteed—it means 40% of days don't touch. Use these probabilities to size positions and manage expectations. Inter-Pivot Golden Zones: These are most useful when price is already in motion toward a level. For example, if price breaks above PP heading to R1, the PP-R1 golden zone (60.8% touch rate) becomes a high-probability pullback area. Time Awareness: The "Avg Time" statistics help you understand urgency. If it's 10:30 AM and S1 hasn't been touched (average is 55 minutes), the window for bearish moves is closing. Technical Notes Time Zone: All times referenced are NY/EST Session Definition: RTH is 9:30 AM - 4:00 PM EST Calculation Period: Pivots update daily based on previous 24-hour period (18:00 previous day to 17:00 current day) Data Source: Statistics derived from 12 years of NQ 1-minute futures data (2013-2025) Sample Size: 2,482 complete RTH trading sessions Disclaimer This indicator provides statistical probabilities based on historical NQ futures data. Past performance does not guarantee future results. The statistical tables are educational tools and should not be the sole basis for trading decisions. Always: Use proper risk management Combine with your own analysis Understand that probabilities are not certainties Remember that statistics are instrument-specific (NQ/MNQ only) Credits Statistical analysis performed using Python analysis of 12 years of historical NQ futures data. All pivot and golden zone calculations use standard mathematical formulas applicable to any instrument.
Indicador Pine Script®
por lucymatos
Seasonality AdvancedDescription This is a professional-grade Seasonality Analysis tool designed to project future price trends based on historical cyclical patterns. Unlike simple seasonal indicators that just average price, this script offers a statistical approach with a "Zero Gravity" visualization mode and a real-time Data Dashboard. Underlying Concepts & Methodology The script calculates the seasonal tendency by averaging the price performance of the same day/week over a user-defined lookback period (e.g., 5, 10, or 15 years). Data Alignment: It aligns historical data based on trading days (default 252) or calendar days to create a coherent "Annual Cycle". Smoothing: A Moving Average is applied to the raw seasonal data to filter out noise and reveal the true macro tendency. Correlation Engine: It calculates the real-time correlation between the current price action and the projected seasonal line. This acts as a "Lie Detector"—if correlation is high, the seasonal pattern is currently valid. Key Features Multi-Cycle Analysis: Plot up to 3 different seasonal baselines simultaneously (e.g., Short-term 5Y vs. Long-term 15Y cycles). Zero Gravity View: Uses a "Joyplot" style separation (Stacking) to prevent lines from overlapping messily, making it easier to compare different cycles. Statistical Dashboard: A built-in table displays Avg Return, WinRate, Volatility Risk, and Correlation. How to Use Projections: Use the lines extending into the future to anticipate potential turning points. Confluence: When the 5-year and 10-year lines point in the same direction, the probability increases. Filter: Watch the "Correlation" column in the table. Low correlation means the current market is decoupling from history. To comply with House Rules regarding non-English UI, here is the translation of the script's settings menu: 1. Cálculos Sazo 3 (Calculation Settings) Dias de negociação = Trading Days (Fixed 252 or Variable) Método de dias = Day Count Method (Min, Max, Avg) Projeção Futura (Barras) = Future Projection (Bars) Suavização (Média) = Smoothing (MA Length) Deslocamento = Offset 2. Visualização e Layout (Visuals) Empilhamento / Separação (%) = Stacking / Separation % Distância Vertical = Vertical Distance Distância da Etiqueta = Label Offset 3. Painel Estatístico (Statistics Panel) Mostrar Tabela = Show Table Mostrar Próximo Mês = Show Next Month Mostrar Linha Méd/Alvo = Show Avg/Target Row Texto Suave = Soft Text (Transparency) Período Correlação = Correlation Period Tema = Theme (Dark/Light) Tamanho = Size Posição = Position 4. Linha de Hoje (Today's Line) Mostrar Linha = Show Vertical Line Cor/Estilo/Espessura = Color/Style/Width 5. Linhas 1, 2, 3 (Seasonal Lines) Ativar Linha = Enable Line Período (anos) = Lookback Period (Years) Descrição Este indicador é uma ferramenta completa de Sazonalidade que projeta tendências futuras baseadas em padrões históricos. Ele inclui um painel estatístico exclusivo que mostra a probabilidade (WinRate) e a correlação do ciclo atual. Funcionalidades Projeção Futura: Desenha o comportamento provável do preço para os próximos dias. Painel Estatístico: Mostra retorno médio, risco e correlação em tempo real. Zero Gravity: Visualização empilhada para facilitar a leitura de múltiplos ciclos.
Indicador Pine Script®
por marcaoemail_1
Passiv Algo V2 PXL PXH Time-Based Liquidity Levels Indicator This indicator automatically identifies and plots time-based liquidity levels derived from key market sessions and higher-timeframe reference periods. By focusing on institutional trading windows and recurring time structures, it highlights areas where liquidity is statistically more likely to be present — zones that often act as reaction points with a high probability of price rejection or reversal. Key Features: 🔹Automatic detection of time-based liquidity levels 🔹Levels based on previous session highs & lows and intraday reference ranges 🔹Designed to align with institutional market timing 🔹Clean and non-repainting levels 🔹Works on all markets and timeframes Why it works: Financial markets move in cycles driven by time and liquidity. When price revisits liquidity pools formed at specific times, it often reacts due to order accumulation and distribution by large participants. This indicator helps traders anticipate those reactions before price reaches the level. Best Use Cases: 🔹Liquidity sweeps & rejections 🔹Mean reversion setups 🔹Session-based trading strategies 🔹Confluence with market structure and price action ⚠️ This indicator does not provide trade signals. It is designed to be used as a contextual tool alongside proper risk management and confirmation.
Indicador Pine Script®
por huchetmartin
DERYA Dynamic Efficiency Regime Yield AnalyzerDERYA: Dynamic Efficiency Regime Yield Analyzer Mathematical Concept and Problem Statement Most traditional trend and momentum indicators (e.g., RSI, ADX, MACD) focus on price displacement across a series of bars. However, they are mathematically "blind" to the internal structure of each individual bar. The DERYA indicator solves the "Velocity Trap" and "Lagging Confirmation" issues by shifting the measurement space from price displacement to intrabar efficiency. It quantifies the ratio between net price progress and the total effort (range) expended within the bar. Logic and Components The script does not reuse any existing open-source library logic; the methodology is derived from original research. However, it utilizes standard built-in Pine Script functions for structural stabilization: Efficiency Metaphor: The core logic calculates a proxy for microstructural health using the formula |Close - Close | / (High - Low). Use of Exponential Moving Average (EMA): A standard ta.ema is applied to the raw efficiency data. Reason for use: Raw microstructural data is inherently noisy due to high-frequency fluctuations. The EMA is used here specifically as a low-pass filter to extract the underlying structural trend of efficiency without the overhead of more complex digital filters. Use of Min-Max Normalization: The script utilizes ta.highest and ta.lowest over a lookback period. Reason for use: To convert an absolute efficiency metric into a bounded state variable (0-100). This ensures the indicator is adaptive to different volatility regimes, preventing the signal from becoming obsolete as market conditions change. Interpretation Expansion Regime (>60): Indicates a high-efficiency environment where price movement is achieved with minimal internal friction. Collapse Regime (<40): Indicates a structural deterioration where price effort (range) significantly outweighs price progress (displacement), often signaling an imminent trend break. Visual Integration: The script includes a barcolor feature that highlights bars where DERYA falls below 30, visually flagging points of extreme structural inefficiency directly on the price chart. Compliance Note This script is an original implementation of the DERYA methodology. It does not contain "copy-pasted" code from other public indicators. Standard functions (ta.ema, ta.highest, ta.lowest) are used only for their intended mathematical smoothing and normalization purposes as described above. Scientific Documentation & Research Paper This implementation is based on the following published research: Title: DERYA: Dynamic Efficiency Regime Yield Analyzer - A New Microstructural State Variable for Financial Markets Published on: Zenodo (CERN) zenodo.org DOI: 10.5281/zenodo.18181902 Author: Bülent Duman (Independent Researcher) Copyright: (C) 2026 Bülent Duman
Indicador Pine Script®
por blntduman
Trend Levels Pro SR Zones (Density+Recency+Reaction) Short Description Trend Levels Pro — SR Zones (Density+Recency+Reaction) draws dynamic Support/Resistance zones (bands + center lines) using mathematical clustering of pivots and ATR-normalized sizing. Instead of “manual lines”, it detects price-density areas where the market has historically reacted (bounce / break / retest), then ranks the most relevant levels around current price. Best use: trade “level-to-level” moves, spot key reaction zones, and combine with confirmation/exhaustion tools for timing. How it Works (very short) Pivots → Clusters: Pivot highs/lows are grouped into zones (clusters) by proximity. ATR Adaptive: Band width, spacing, and max distance scale with ATR (volatility). PRO Score (optional): Ranks zones by Density + Recency + Reaction to prioritize the most actionable levels. This indicator is for educational/informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves risk and you are responsible for your own decisions. Use proper risk management and consider testing on different markets/timeframes before live trading.
Indicador Pine Script®
por ronieayala
XAU PRO [EN]XAU PRO is a macro-driven dashboard for Gold (XAUUSD) designed to provide a clear, structured, and actionable macro context without adding clutter to the chart. It is a table-only indicator: no lines, no oscillators, no background painting, and no buy/sell arrows. Its purpose is to support decision-making, not to replace price action or execution strategies. The indicator analyzes Gold using a hybrid macro framework that combines interest rates (nominal and real), USD behavior, inflation expectations, liquidity conditions, volatility and market stress, and intermarket confirmation (Gold, Silver, and Miners). All of this information is consolidated into a single, easy-to-read panel. A key feature of XAU PRO is its hybrid timeframe logic. Macro data from FRED (such as real yields, inflation breakevens, and liquidity) is only available on Daily or higher timeframes. Market instruments like XAUUSD, DXY, VIX, and ETFs can be intraday. When an intraday calculation timeframe is selected (for example 15m, 1h, or 4h), the indicator automatically forces FRED series to Daily while keeping other symbols on the chosen timeframe. This avoids unsupported-resolution errors and ensures stable, consistent behavior. The table explicitly displays the calculation timeframe so the user always knows what is being used. The table is designed to answer practical trading questions. It shows the calculation timeframe, the current macro regime (such as Risk-Off, Inflation, Tightening, Liquidity-Up, or Neutral), and a clear permission state that tells whether trading conditions are favorable: LONG OK, SHORT OK, WAIT, AVOID, or BLOCKED. It also displays the macro bias direction, the adjusted macro score that reflects the strength of drivers, the confluence percentage that measures environment quality, a divergence filter between Gold and real yields, the relevance of correlation between Gold and 5-year real yields, and a filtered historical accuracy metric. Each row includes color-coded status, plain-English explanations, and directional arrows showing whether conditions are improving or deteriorating. XAU PRO is intended to be used as a professional workflow tool. Traders use higher-timeframe macro information to define context and risk conditions, then execute trades using their own price-based setups. The indicator does not tell you when to enter or exit; it tells you when trading makes sense and when it does not. The indicator is fully configurable. Users can choose whether calculations follow the chart timeframe or a custom timeframe, move the table to different screen positions, adjust fonts and colors, and enable or disable specific macro components such as VIX, MOVE, or GVZ. This is not a signal indicator. It does not repaint, does not rely on curve-fitting, and is designed for clarity, stability, and macro awareness. It is best suited for Gold traders who separate market context from execution and want a clean, professional macro dashboard directly on their chart.
Indicador Pine Script®
por ghfroede
Compression-to-Expansion Early Warning (CEEWS)The Compression → Expansion Early Warning System (CEEWS) is a volatility-structure and market-timing indicator designed to identify periods of statistical price compression and to signal when that compression transitions into directional expansion. Rather than predicting direction in advance, CEEWS focuses on detecting when price action becomes tightly constrained and then confirms when stored energy begins to release. CEEWS quantifies compression using a composite of volatility contraction, range tightening, candle overlap, and reference-level convergence, producing a normalized Build score (0–100) that reflects the degree of latent price pressure. Elevated Build values indicate that the market is coiled and increasingly susceptible to movement, while expansion signals occur only when volatility begins to expand and price breaks from its recent range. The indicator is intended as a timing and transition tool, not a standalone trend or directional system. CEEWS is most effective when paired with broader regime or trend-health indicators and is particularly well suited for index funds and highly liquid markets, where prolonged consolidation phases often precede sharp directional moves. Its primary purpose is to help traders identify when the market is likely to move, not to forecast where it will go.
Indicador Pine Script®
por MatrixResearch
RS High Beta Exposure w/ Probabilistic Windowing | QuantLapseRS High Beta Exposure w/ Probabilistic Window | QuantLapse Conceptual Foundation and System Design Philosophy The RS High Beta Exposure w/ Probabilistic Window indicator by QuantLapse is a regime-aware, multi-asset allocation framework engineered to solve one of the most persistent problems in crypto trading: knowing when it is statistically appropriate to take high-beta risk — and when it is not. Traditional relative strength and rotation systems assume that markets are always suitable for participation. This model challenges that assumption by introducing a probabilistic, data-driven market filter that determines whether conditions are Safe (Risk-On) or Unsafe (Risk-Off) before allocating capital. Only when the broader market structure demonstrates statistically valid trending behavior does the system engage in high-beta crypto allocation. When conditions deteriorate, exposure is automatically reduced or redirected toward defensive positioning. This creates a disciplined framework that answers three critical questions: Is the market in a condition worth taking risk? If yes, which asset deserves capital allocation? If not, where should capital be preserved? Core Analytical Architecture The indicator operates through four tightly integrated analytical engines , each responsible for a specific decision layer within the allocation process. 1. Pairwise Relative Strength & High-Beta Ranking At the foundation of the system is a pairwise relative strength comparison model. Each crypto asset is compared against every other asset in the user-defined universe. Ratio-based trend models measure which asset is outperforming on a relative basis. Volatility-aware filters are applied to ensure momentum is supported by trend structure. Each favorable comparison awards a score to the outperforming asset. Assets with the highest cumulative score emerge as dominant high-beta candidates, ensuring capital is always directed toward leadership rather than laggards. 2. Dominant Asset Selection Logic Once relative strength scores are computed: Assets scoring above the median qualify for potential allocation. The asset with the highest score is designated as the dominant asset. Only one high-beta asset is held at any given time. This enforces capital concentration during strong trends while avoiding dilution across weaker assets. 3. Probabilistic Window (Market Regime Classification) Before any high-beta allocation is permitted, the system evaluates overall market conditions using the Probabilistic Window Engine . A benchmark asset (e.g., BTCUSD, TOTAL, or TOTALES) is analyzed on a higher timeframe. Statistical trend validation ensures the market is structurally trending rather than ranging. A Rate of Change (ROC) calculation over a 2-bar lookback measures directional momentum. Regime Classification Logic: ROC > User-Defined Safe Threshold → Risk-On (Safe Period) ROC < User-Defined Unsafe Threshold → Risk-Off (Unsafe Period) This dual confirmation (trend + momentum) significantly reduces false positives and prevents overexposure during transitional or distribution phases. 4. Defensive Allocation & Capital Preservation Engine When the Probabilistic Window signals an unsafe regime, the system automatically shifts from offense to defense. If enabled, capital is allocated to a conservative asset (default: PAXGUSD, SPX, NASDAQ). The conservative asset must also pass its own trend validation. If the conservative asset is trending, capital is allocated defensively. If not trending, the system holds CASH. This ensures capital is never forced into unfavorable conditions and remains protected during prolonged market weakness. User Inputs and Customization The system is highly configurable, allowing traders to tailor behavior to their strategy preferences: Asset Universe Selection – Define up to six assets for high-beta rotation. Probabilistic Benchmark – Choose the asset used to define market regime. Risk-Off Behavior – Enable or disable conservative asset allocation. Defensive Asset Selection – Specify which asset to use during unsafe periods. Backtest Controls – Apply date filters and equity initialization. Display Controls – Adjust table position, background states, and visual emphasis. asset1 = input.symbol("CRYPTO:XRPUSD", title ="Asset 1") asset2 = input.symbol("CRYPTO:BNBUSD", title ="Asset 2") asset3 = input.symbol("CRYPTO:ADAUSD", title ="Asset 3") asset4 = input.symbol("CRYPTO:DOGEUSD", title ="Asset 4") asset5 = input.symbol("CRYPTO:XLMUSD", title ="Asset 5") asset6 = input.symbol("CRYPTO:LINKUSD", title ="Asset 6") use_safeasset = input.bool(true, "Invest in Conservative Asset") safe_asset = input.symbol("CRYPTO:PAXGUSD", title="Conservative Asset") Alerts and Execution Awareness A comprehensive alert system ensures users remain informed in real time: Alerts trigger when the dominant asset changes. Notifications identify whether exposure is in crypto, defensive asset, or CASH. Alerts are confirmed on bar close to avoid repainting. This supports both discretionary execution and automated workflows. Practical Applications and Use Cases Regime-Aware Crypto Rotation – Participate in high-beta trends only when statistically justified. Drawdown Mitigation – Reduce exposure during unfavorable market phases. Objective Risk Management – Replace emotional decision-making with probabilistic rules. Portfolio-Level Allocation – Use as a core signal within systematic crypto frameworks. Strategic Value and Advantages RS High Beta Exposure w/ Probabilistic Window stands apart by integrating: Relative strength leadership detection Volatility-validated momentum Probabilistic regime classification Defensive asset rotation This layered confirmation model improves consistency, protects capital, and enforces disciplined exposure control — particularly in volatile crypto environments. Summary and Usage Notes RS High Beta Exposure w/ Probabilistic Window is a comprehensive, rule-based allocation system that determines: When to take risk, what asset deserves exposure, and when capital should stand aside. The model is best applied on the 1D timeframe , where regime detection and relative strength signals are most reliable. It pairs effectively with other QuantLapse systematic tools for portfolio-level confirmation. Past performance does not guarantee future results. This indicator is intended for research and educational use within TradingView.
Indicador Pine Script®
por QuantLapse