NYC Midnight LITE [Takeda Trades 2026]NYC Midnight LITE
by @TakedaTradesOfficial
v1 01/09/2026
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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.
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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)
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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
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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
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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
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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
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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
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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
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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
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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!
Sentiment
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.
LSE Chrono-Behavior Forecast🎯 ANTICIPATE THE MOVE. TRADE THE EDGE.
The Chrono-Behavior Forecast is a revolutionary forward-looking indicator that projects future market behavior and reversal points directly onto your chart. Unlike traditional indicators that are based on lagging data, this indicator shows you what's coming next.
📊 WHAT MAKES THIS DIFFERENT
While most indicators look backward at historical price action, the Chrono-Behavior Forecast does the opposite: it plots a non-repainting forecasted line that projects market timing, behavior, and reversals for up to 24 hours into the future.
All forecasts are generated BEFORE market open - no curve fitting, no hindsight bias, no repainting. What you see is pure forward-looking analysis.
⚡ KEY FEATURES
• Non-Repainting Forecasts - The forecasted line never changes after it's plotted. What you see is what you get.
• Any Asset Class - Works on stocks, futures, forex, crypto, commodities - any tradable instrument. Place this indicator on any chart and see our forecasted line plotted right on it.
• Any Intraday Timeframe - Optimized for day trading timeframes from 1 second to 6 hours. Use shorter timeframes (1-5 min) for quick scalps, longer timeframes (15 min - 6 hr) for more deliberate entries.
• Battle-Tested - We trade these same indicators ourselves. Your success is our success.
🔬 THE METHODOLOGY
The Chrono-Behavior Forecast is the culmination of over two decades of intensive research into the hidden mechanics of market movement. We've moved beyond standard technical analysis to uncover the specific, repeatable forces that drive market behavior.
Market Energy Analysis - Our proprietary algorithm analyzes decades of historical data to decode how global exchanges influence specific asset classes over time.
Energy Forecasting - We forecast the future energy that markets are expected to exert, mapped to precise time windows throughout your trading session.
Behavioral Footprints - By mapping these "behavioral footprints" against time, we predict market impacts and reversals well before they manifest.
📈 HOW TO USE
• Identify Future Reversal Points - Use the forecasted peaks and valleys to anticipate market turning points.
• Time Your Entries & Exits - The forecast gives you the foresight to time your trades with confidence.
• Combine Multiple Markets - Layer multiple Chrono-Behavior Forecasts on a single chart to see how competing market forces converge to drive price action.
⚠️ IMPORTANT NOTES
• Best used for intraday trading on timeframes between 1 second and 6 hours.
• As with day trading in general, exercise caution during high market volatility events (e.g., NFP, FOMC announcements) and the first few minutes after US market open.
• We have forecasting indicators for 28 global exchanges including NYSE, NASDAQ, CME, LSE, TSE, SSE, and more - that can be applied to ANY chart.
🌐 CURRENTLY AVAILABLE EXCHANGES
USA: NYSE, NASDAQ, CME, ICE, CBOE
UK: LSE
Europe: Euronext, Deutsche Börse, Swiss Exchange, Nasdaq Nordic, Spanish Exchanges
Asia: TSE, SSE, SZSE, HKEX, NSE India, TWSE, KRX, SGX, SET, Bursa Malaysia, IDX
Other: TSX, TASI, ASX, JSE, ADX, B3
Custom exchange forecast development available upon request.
SAMIR-Pattern Detector: (Debug Mode)fractal pattern to descover movment action then apply fibo on the pattern
Asset % Performance vs Base Index [Dots3Red]General idea of the indicator
This indicator is designed to indicate the asset % performance within the chosen time period in the form of colored boxes.
Moreover, the indicator shows the historic YoY% performance of one of the 4 US indices chosen: SP500, Nasdaq 100, DJ30, or Russel 2000.
The visual boxes are shown below the main chart.
How to use the indicator?
In the indicator's settings:
Choose the base index against which you want to check the asset % performance in the scripts.
Choose the default time period of the ticker for which you want to see the % performance.
Choose "Dark Theme" to redraw the boxes if you use that theme.
It is possible to drag the boundaries of the asset's % box in the chart so as to readjust the time period.
The indicator automatically recalculates once you change the settings or drag the boundaries of the asset's box
Possible Code changes
This script is open-source, therefore, you might modify it to choose any base asset, not only US indices.
EAGLEDOMAIN Battlezone State Detection 1.0 [DamienCross]中文|指标发布说明
名称:EAGLEDOMAIN · 战区状态识别(原创) | Battlezone State Detection
作者:Damien Cross
品牌:EAGLEDOMAIN(鹰域)
所属体系:ARMAMENT · Tactical Buffering Control™
定位:市场状态识别模块(Market-State Identification)
性质声明:本指标不是入场/出场信号,不提供“喊单式”结论;它用于识别“异常波动/冲击行为”的发生与结构痕迹,辅助你进行风控、节奏判断与复盘取证。
1) 这个指标在做什么
当市场出现“单根K线异常波动”(例如 5/15分钟突然拉升或砸盘几十美金),指标会把这种行为归类为三种战术等级:
警戒(Warning):异常波动开始进入非正常区间(预警层)
突袭(Assault):强冲击波动,通常伴随情绪驱动、流动性变化或盘面结构被硬扭
修罗场(Shura):极端波动状态,属于“规则被短暂掰弯”的高风险区
它的核心价值不是“预测”,而是把异常发生这件事量化、分级、留痕:
让你在当下知道“市场已经不按常态走了”
让你在复盘时能定位“异常发生的时间点、强度、类型”
让你在风控层面能把“正常波动”与“异常冲击”区分开
2) 波幅口径(Shock Calculation)
你可以选择三种波幅统计方式(决定“异常”用什么尺度衡量):
实体波幅(收-开):强调情绪方向与推进力度
全波幅(高-低):强调当根K线的完整冲击范围
真实波幅 TR(True Range):把缺口与跳动也纳入(更适合突发跳空、急拉急砸)
3) 鹰域形态过滤(原创定义)
异常波动不等于“有效冲击”。本指标提供三种“异常形态”过滤模式,用于区分冲击类型:
突袭K(收在极值):收盘靠近高点/低点,且实体占比高
常见于“强方向推进、硬拉硬砸、单边冲刺”
扫荡K(长影线冲击):影线占比高
常见于“扫流动性、插针回收、试探/清算”
纯波幅(不看形态):只要波幅够大就算(更敏感、更“雷达式”)
另外提供 实体过滤(minBodyUSD):
用于排除“影线很长但实体很小”的噪音(也可设为 0 关闭)
4) 三段阈值系统(固定阈值 + ATR 自适应)
本指标同时支持两套阈值体系,并可选择触发逻辑:
固定阈值(美元):直接用 $12 / $20 / $30 这种尺度定义警戒/突袭/修罗
ATR 动态阈值:用 ATR 倍数适配不同阶段的波动环境(更自适应)
触发逻辑可选:
满足任意一个:固定阈值或 ATR 阈值命中其一就触发(更敏感)
必须同时满足:两者都命中才触发(更严格、更抗噪)
5) 分时段倍率(亚洲/伦敦/纽约)
不同盘段的“正常波动基线”不同。此模块用于给阈值加倍率:
亚洲盘更敏感(倍率 < 1):小波动也能被识别
纽约盘更宽(倍率 > 1):过滤掉纽约盘常态的大波动
重要:分时段倍率依赖时区参数。默认建议使用 UTC,若你希望按北京时间识别,可将时区设为 Asia/Shanghai,并相应调整 Session 时间。
6) 图表如何解读(标记 + 标签 + 冲击箱体)
标记(Shapes)
警戒:圆点
突袭:三角形
修罗:标签形状
并区分方向:上涨在K线下方、下跌在K线上方。
标签(Labels)
默认只对 突袭/修罗场贴标签(更干净)。标签内容包含:
等级(突袭 / 修罗场)
方向箭头(可开关)
本K线波幅(美元)
冲击区箱体(Boxes)
当出现 突袭/修罗场,会以箱体形式留下“冲击区痕迹”,并向右延伸若干根K线:
它不是支撑/阻力的绝对定义
它是“异常冲击发生后,市场可能继续反应的结构记号”
常用于:
观察冲击后的回测、再扩张、二次波动
做复盘:这根异常K线之后,市场在这个区间是否反复拉扯、是否出现反噬
7) 警报(声音/邮件/推送)
指标内置三段警报条件:警戒 / 突袭 / 修罗场。
警报消息将自动带出:品种、周期、波幅、阈值、收盘价、系统签名。
设置方法:
TradingView → Alerts → Condition 选择本指标 → 选择对应的【警戒/突袭/修罗场】→ 勾选通知方式(App/邮件/弹窗/声音)。
8) 建议用法(专业场景)
本指标更适合以下用途(不依赖“喊单”):
风控与节奏管理:当市场进入“突袭/修罗”级别,提醒你切换到更保守的执行框架(例如降低频率、减少冲动追价、等待结构稳定)。
异常事件定位:用“时间点 + 强度 + 类型”快速定位异常行为(尤其适合XAUUSD在 5/15min 的突发波动)。
复盘取证与训练:把“异常波动”变成可追踪的数据对象:你可以回看当时是否临近数据、是否处于盘段交接、是否发生流动性抽离。
多品种统一标尺:ATR 自适应让不同品种/不同阶段的“异常”更可比,而不是固定用一个死阈值硬套所有环境。
9) 局限与免责声明
指标识别的是“异常发生”,不是“异常原因”。消息面、流动性、盘口行为需要你自行结合判断。
历史表现不代表未来。任何工具都不能替代风险控制与仓位纪律。
本脚本仅用于研究、复盘、风险提示与市场状态识别。
10) 验真与防篡改(Data Window)
脚本包含 EAGLEDOMAIN VERIFIED / TAMPERED / SPOOFED 与指纹输出(仅在 Data Window 显示),用于原创验真与取证:
VERIFIED:签名与私钥参数匹配(原版)
TAMPERED:签名成立但私钥不匹配(疑似被改/二次加工)
SPOOFED:私钥匹配但签名不成立(疑似删除签名层伪装)
English|TradingView Script Description
Name: EAGLEDOMAIN · Battlezone State Detection (Original)
Author: Damien Cross
Brand: EAGLEDOMAIN
System: ARMAMENT · Tactical Buffering Control™
Role: Market-State Identification Module
Statement: This is NOT an entry/exit signal. It is a professional overlay designed to classify abnormal single-bar volatility shocks, leave structural footprints, and support risk control, tempo management, and post-analysis.
1) What this indicator does
When the market produces an abnormal impulse bar (e.g., a sudden 5/15-min spike or dump), the script categorizes the event into three tactical levels:
Warning: volatility enters an abnormal regime (early caution)
Assault: strong shock / impulse behavior (aggressive displacement)
Shura: extreme regime (high-risk, rule-bending conditions)
The purpose is not prediction. The purpose is to quantify, grade, and archive shock events so you can:
recognize when the market has shifted out of “normal behavior”
locate the exact timestamp/intensity/type during review
separate normal volatility from genuine shock behavior for risk decisions
2) Shock measurement modes
Choose how “shock” is measured:
Body (Close-Open): emphasizes directional drive
Range (High-Low): captures full intrabar impact
True Range (TR): includes gaps/abrupt jumps (best for sudden dislocations)
3) Original pattern filters (EAGLEDOMAIN definitions)
Not every large bar is the same. The script offers three anomaly types:
Assault Candle (close near extreme): strong body ratio + close near high/low
typical for hard directional pushes and impulse displacement
Sweep Candle (long wicks): high wick ratio
typical for liquidity sweeps, stop-runs, spike-and-reject behavior
Pure Shock (no pattern): amplitude-only (most sensitive)
Optional Minimum Body Filter excludes tiny-body noise (set to 0 to disable).
4) Threshold engine (Fixed USD + Adaptive ATR)
Two threshold systems can be used together:
Fixed USD thresholds (e.g., $12 / $20 / $30)
ATR-based adaptive thresholds (multiples of ATR)
Trigger logic:
Either condition (more sensitive)
Both conditions (more strict / less noise)
5) Session multipliers (Asia / London / New York)
Volatility baselines differ by session. Session multipliers adjust thresholds accordingly:
Asia can be set more sensitive (<1)
NY can be set wider (>1)
Timezone matters. Default recommendation: UTC. If you want Beijing time logic, use Asia/Shanghai and adjust sessions.
6) Visual reading (Marks + Labels + Shock Boxes)
Warning: circles
Assault: triangles
Shura: label shapes
Directional placement: up events below bars, down events above bars.
Labels are shown mainly for Assault/Shura to keep the chart clean, including: level + direction + shock value in USD.
Shock Boxes are structural footprints extended to the right. They are not “guaranteed S/R,” but a post-shock reaction zone marker for observation and review.
7) Alerts (sound / email / push)
Three built-in alert conditions: Warning / Assault / Shura.
Alert messages include symbol, timeframe, shock value, thresholds, close price, and system signature.
8) Professional use cases
risk & tempo control during abnormal regimes
precise timestamping of shock events for journal/review
structured post-analysis of session transitions, news windows, liquidity shifts
multi-asset comparability via ATR adaptation
9) Limitations & disclaimer
This script detects the occurrence of abnormal shocks, not the underlying cause.
Use proper risk management. For research, review, and risk awareness only.
10) Authenticity & anti-tamper (Data Window)
The script provides Data Window-only fields: EAGLEDOMAIN VERIFIED / TAMPERED / SPOOFED and a fingerprint output for originality verification and forensic reference.
Tags (recommended)
EAGLEDOMAIN, DamienCross, Battlezone, Market State, Volatility Shock, ATR, Risk Control, XAUUSD, Price Action, Session, ARMAMENT, Tactical Buffering Control
Laguerre Timeframe OscillatorLaguerre Timeframe Breadth Oscillator
Multi-timeframe × multi-gamma Laguerre breadth model
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Usage Notes
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• This is a regime & consensus indicator, not a trigger
• Best used for trend validation and risk filtering
• Extreme values tend to persist during strong regimes
This indicator answers a single question:
“Out of 198 independent Laguerre filters, how many are currently rising?”
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Concept
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Using Laguerre polynomials, we aggregate price behavior across:
• 11 explicit timeframes (1-minute → 1-day)
• 18 gamma responsiveness levels (0.10 → 0.95)
This produces 198 independent Laguerre curves.
The final oscillator is NOT price.
It represents a directional consensus across timescales and smoothing sensitivities.
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Laguerre Filter Mathematics
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For each Laguerre line i:
L0ᵢ(t) = (1 − γᵢ) · x(t) + γᵢ · L0ᵢ(t−1)
L1ᵢ(t) = −γᵢ · L0ᵢ(t) + L0ᵢ(t−1) + γᵢ · L1ᵢ(t−1)
L2ᵢ(t) = −γᵢ · L1ᵢ(t) + L1ᵢ(t−1) + γᵢ · L2ᵢ(t−1)
L3ᵢ(t) = −γᵢ · L2ᵢ(t) + L2ᵢ(t−1) + γᵢ · L3ᵢ(t−1)
Smoothed output:
Yᵢ(t) = ( L0ᵢ + 2·L1ᵢ + 2·L2ᵢ + L3ᵢ ) / 6
This weighted sum smooths noise while preserving phase better than a traditional EMA.
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Gamma Responsiveness
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Gamma controls responsiveness vs stability:
0.10 — Very fast, noisy
0.40 — Momentum-sensitive
0.70 — Trend-stable
0.95 — Very slow, structural
Each timeframe is evaluated across all gamma levels.
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Timeframes Used (11)
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Minutes: 1, 3, 5, 10, 15, 30, 45
Hours: 1, 2, 4
Days: 1
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Direction Test
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Each Laguerre line votes “up” or “down”:
Iᵢ(t) = 1 if Yᵢ(t) > Yᵢ(t−1)
Iᵢ(t) = 0 otherwise
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Breadth Calculation
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greenCount(t) =
I₁(t) + I₂(t) + I₃(t) + … + I₁₉₈(t)
Total number of rising Laguerre filters.
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Centered Breadth Oscillator
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oscRaw(t) = greenCount(t) − 99
(99 = half of 198; zero represents balanced breadth)
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Smoothing & Amplification
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EMA smoothing:
oscSmooth(t) = EMA₁₀₀(oscRaw)
Extreme emphasis:
oscExtreme(t) = 2 · oscSmooth(t)
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Clamped Final Output
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osc(t) = max( −99 , min( 99 , oscExtreme(t) ) )
Range:
• −99 → all filters falling
• 0 → mixed / neutral
• +99 → all filters rising
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Optional Probabilistic Interpretation
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p(t) = greenCount(t) / 198
Interpretable as the probability of upward directional alignment.
Reach out on Discord if you need further guidance. - Coño Vista
[CT] Smart Supertrend Smart Supertrend is an overlay trend and context indicator that combines three different ideas into one visual: a dynamic “cloud” that adapts to market cycle speed, a pivot-point anchored trailing line that behaves like a smarter Supertrend, and an ADX strength filter that helps separate real trends from noisy sideways movement. It is designed to keep you aligned with the dominant direction while giving you a clean framework for entries, pullbacks, and exits.
The “cloud” is the heart of the script’s regime read. Internally, it builds an adaptive smoothing engine that reacts to how efficiently the price is moving. When the price is moving in a clean, directional way, the cloud becomes more responsive. When the price is choppy and overlapping, the cloud becomes slower and steadier. The cloud itself is drawn as two lines, Cloud A and Cloud B, and the filled area between them. When the adaptive KAMA slope is rising, the cloud is treated as bullish and uses your Up color. When it is falling, the cloud is treated as bearish and uses your Down color. This creates a quick visual of whether the market is behaving like an uptrend regime or a downtrend regime without relying on one fixed moving average length that can be too fast in chop or too slow in trend.
The PP line is the trade management spine. It is built from pivot logic that detects meaningful swing highs and swing lows using your PP Period. Those pivots are blended into a centerline, and then an ATR band is applied around that center using your ATR Period and ATR Factor. That band is turned into a trailing line that “ratchets” in the direction of the current trend. When the price is above the trailing logic, the script considers the trend state to be long. When the price is below, it considers the trend state to be short. The reason this feels different from a basic Supertrend is that the anchor comes from pivots and smoothing rather than only a direct ATR band around price, so it tends to track structure more naturally and reduce some of the fast flipping you see in choppy sections.
The ADX filter is the quality control layer. It computes plus DI, minus DI, and ADX over your ADX Length, and then checks whether ADX is above your threshold. When ADX is above the threshold, it suggests the market is trending enough for trend signals to matter. When ADX is below the threshold, the script is telling you the environment is more sideways, which is where most trend systems get chopped up. In the original logic, the “best” conditions occur when the cloud direction agrees with the DI direction, and ADX is strong, because that means direction and strength are aligned.
How you trade it starts with using the cloud as your directional bias. When the cloud is bullish, you prioritize longs and you treat shorts as lower quality or countertrend. When the cloud is bearish, you prioritize shorts and you treat longs as lower quality. Next, you use the PP line as the “line in the sand” for trend state and risk placement. In a bullish environment, price holding above the PP line is your confirmation that the structure-anchored trailing level is supporting the move. In a bearish environment, price holding below the PP line is your confirmation that the trailing level is capping rallies.
A clean, practical entry approach is to wait for agreement between the cloud and the PP line, then take pullbacks into that framework. For long trades, the highest quality setups occur when the cloud is bullish, the PP line is below price, and ADX is above the threshold with plus DI leading minus DI. In that state, you can look for pullbacks that dip toward the PP line or into the cloud region and then reject back upward, because you’re buying a retracement inside a confirmed trend regime rather than chasing extension. For short trades, the mirror applies: the cloud is bearish, the PP line is above price, ADX is above the threshold with minus DI leading, and you sell rallies back into the PP line or cloud that fail and rotate down.
Stops and exits can be built around the PP line because it is already an ATR-based trailing structure level. For a long, a conservative stop is placed just below the PP line with a buffer related to ATR, because if price closes and holds below that line you are likely seeing a trend condition break. For a short, the stop goes just above the PP line with a similar buffer. For profit taking, many traders scale out when price stretches far away from the PP line or when the cloud begins to lose slope and compress, because that often signals trend momentum is slowing. Another simple exit rule is to reduce or close when the PP line flips trend state against your position, or when the ADX falls back under the threshold after a run, because that frequently marks a transition into consolidation where trailing systems can give back gains.
If you enable signals in versions that plot them, the logic is meant to highlight moments when the PP line flips trend and the cloud is not contradicting that flip, then further filters those into “higher quality” conditions when cloud direction and ADX trend strength agree. In practice, you should still treat signals as prompts, not automatic trades. The best results come from using the signal as a timing cue while you still enforce the bigger rule of alignment: cloud direction, PP line trend state, and ADX strength all pointing the same way, with entries taken on pullbacks rather than on late breakout candles.
Finally, be aware that all adaptive smoothing systems will look different across markets and timeframes, so the main tuning knobs are your Cloud Length, PP Period, ATR Factor, and ADX Threshold. If you want fewer flips and more “position trading” behavior, increase the ATR Factor and consider a higher ADX threshold. If you want earlier entries and more sensitivity, lower ATR Factor and lower the threshold, but expect more chop. The indicator is at its best when you treat it as a regime and structure tool: let the cloud tell you the side, let the PP line define where you are wrong, and let ADX decide whether it’s a trend day or a chop day before you commit size.
[CT] Highest/Lowest Close Midline Candle ColorThis indicator looks back a user defined number of bars, the default is 14, and finds the highest closing price and the lowest closing price in that lookback window. Those two values form a rolling closing range. The script then calculates a midpoint of that range by averaging the highest close and the lowest close. That midpoint is plotted as “o”, and it acts like a simple, adaptive balance line for where the market is trading within its recent closing range.
On every bar, the candle color is driven by where the current close finishes relative to that midpoint. When price closes above the midpoint, the script colors the candle green, which tells you that the close is occurring in the upper half of the most recent closing range. When price closes below the midpoint, the candle is colored red, which tells you the close is occurring in the lower half of the most recent closing range. If the close lands exactly on the midpoint, the script leaves the bar uncolored, which is a quick way to spot “neutral” closes that are sitting right at the balance point.
On the chart you will see three plots. The “hi” line is the highest close over the lookback period, so it behaves like a dynamic ceiling for closes. The “lo” line is the lowest close over the lookback period, so it behaves like a dynamic floor for closes. The “o” line is the midpoint between those two, and it will move up when the rolling highest and lowest closes lift, and it will move down when they fall. Because all three are based on closing prices instead of highs and lows, they reflect where the market is actually accepting value at the end of each bar rather than momentary wicks.
In practical use, the midpoint line is your decision line and the candle colors are your bias filter. A sequence of green candles means closes are consistently happening above the midpoint, which implies bullish control of the recent closing range and can be used as a confirmation to favor long setups, trend continuation trades, or pullbacks that hold above the midpoint. A sequence of red candles means closes are consistently happening below the midpoint, which implies bearish control of the recent closing range and can be used to favor short setups or bearish continuation until price can reclaim the midpoint. When candles flip color around the midpoint repeatedly, that is a visual cue that the market is rotating and the midpoint is acting like a balance area rather than support or resistance, which often aligns with consolidation or choppier conditions.
The “hi” and “lo” lines can be treated as context levels. If price is closing above the midpoint and pressing toward the “hi” line, you are seeing strength within the closing range and the prior highest close becomes the next level where continuation may stall or break. If price is closing below the midpoint and pressing toward the “lo” line, you are seeing weakness within the closing range and the prior lowest close becomes the next level where continuation may pause or accelerate through. Breaks beyond the “hi” or “lo” line indicate that the rolling closing range is expanding, which can coincide with trend continuation or a breakout from a prior range.
This tool is simple by design and is best used as a directional filter and a structure guide rather than a standalone entry system. It does not repaint past bars because it only uses completed historical closes within the selected lookback window, and it updates normally as each new bar closes. You can increase the period to smooth it for higher time frames or more stable trends, and decrease it to make it more sensitive for faster markets or scalping, with the tradeoff that shorter periods will flip colors more often in chop.
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.
[CT] D&W PPO + RBF + DivergenceThis indicator combines two separate ideas into one tool so you can read trend context from your price chart while timing momentum shifts from a clean oscillator panel. The first component is the Daily and Weekly Percentage Price Oscillator (D&W PPO), which measures the relationship between two EMA spreads that are intentionally built to reflect two “speeds” of market structure. The “weekly” leg is calculated as the percentage distance between a slower and faster EMA pair (L1 and L2), and the “daily” leg is calculated as the percentage distance between a shorter EMA pair (L3 and L4), but both are normalized by the same long EMA (e2) so the values behave like a percent-based oscillator rather than raw points. The script then combines those two legs by creating R = W + D, and it plots the histogram as R − W, which simplifies to D. That is not a mistake, it is the point of the design. By setting the baseline at “R equals W,” the zero line becomes a very intuitive threshold that tells you whether the shorter-term push is adding to the longer-term bias or subtracting from it. When the histogram is above zero, the daily component is supportive of the larger trend pressure, and when it is below zero, the daily component is opposing it. The histogram color is intentionally binary and stable, green when the histogram is at or above zero and red when it is below, so the panel reads like a momentum confirmation tool rather than a noisy oscillator that constantly shifts shades.
The second component is the RBF Price Trail, which is drawn on the upper price chart even though the indicator itself lives in a lower panel. This line is not a moving average in the traditional sense. It is a Radial Basis Function kernel smoother that weights recent prices based on their similarity rather than only their recency. In plain terms, the kernel attempts to build a smoother “baseline” that adapts to the shape of price action, and then the script optionally wraps that baseline inside an ATR band and applies a Supertrend-like trailing clamp. When the ATR band is enabled, the line will not simply track the kernel value, it will trail price and hold its position until price forces it to ratchet. This behavior is what makes it useful as a structure-aligned trend line rather than just another smoothing curve. When the adaptive band boost is enabled, the band width is multiplied by a factor that grows when recent price change is large relative to a lookback normalization window. That means the trailing mechanism can adapt to fast markets by changing the effective band behavior, which helps reduce whipsaws in choppy conditions while still allowing the line to respond when volatility expands. The line color is determined by where price closes relative to the trail, bullish when price is above the trail and bearish when price is below it, and you can optionally color your actual chart candles from either the PPO state or the RBF state depending on what you want your eyes to follow.
The settings are organized so you can control each module without changing how the core PPO trend logic behaves. The PPO settings L1, L2, L3, and L4 define the EMA lengths used to compute the weekly leg W and the daily leg D. Increasing these values makes the oscillator slower and smoother, while decreasing them makes it react faster to recent movement. “Show W line” is simply a visual aid, it plots the W line in the oscillator panel so you can see the longer-term component, but it does not change the histogram logic. “Histogram thickness” is purely visual and controls how thick the column bars are. The PPO colors are the two base colors used for the histogram state, green when the daily component is supportive and red when it is opposing.
The RBF settings control what you see on the upper chart. “Show RBF on Price Chart” turns the trail line on or off. “Source” chooses which price series feeds the kernel, and close is usually the cleanest choice. “Kernel Length” determines how many bars the kernel uses; a larger value makes the baseline smoother and slower, and a smaller value makes it more reactive. “Gamma Adj” controls how quickly the kernel’s weights decay as price becomes dissimilar, so higher gamma tends to make the kernel react more sharply to changes while lower gamma produces a broader smoothing effect. “Use ATR Trail Band” is the switch that turns the kernel baseline into a trailing band line, and it is the reason the line can “hold” and then ratchet instead of moving continuously like a normal moving average. “ATR Length” and “ATR Factor” control the width of that band, and widening the band will generally reduce flips and noise at the cost of later signals. “Use Adaptive Band Boost” turns on the volatility normalization idea, “Boost Normalization Lookback” defines how far back the script looks to determine what counts as a large price change, and “Boost Multiplier” controls how strongly the band behavior is adjusted during those periods. The line width and bull/bear colors are visual controls only.
Price bar coloring is intentionally handled with a single selector so you do not end up with two modules fighting to color candles differently. If you choose “Off,” nothing on the main chart is recolored. If you choose “PPO,” your price candles reflect whether the PPO histogram is above or below zero. If you choose “RBF,” your price candles reflect whether price is above or below the RBF trail. Most traders will pick one and stick with it so the chart communicates a single bias at a glance.
The divergence module is optional and is designed to be a confirmation layer rather than a primary trigger. When enabled, it can mark regular divergence and hidden divergence, and it lets you decide what the pivots should be based on. The divergence source can be the PPO histogram or the R line, depending on whether you want divergence measured on the cleaner momentum component or on the combined series. “Key off pivots” determines whether pivot detection is driven by oscillator pivots or by price pivots. If you choose oscillator pivots, divergence anchors are found where the oscillator makes pivot highs or lows and those are compared against price at the same points. If you choose price pivots, the pivots are taken from price first and the oscillator value at those pivot bars is used for the comparison, which can feel more intuitive when you want divergence to respect obvious swing structure on the chart. Pivot Left and Pivot Right control how strict the swing definition is, larger values create fewer but more meaningful pivots and smaller values create more frequent signals. “Mark on Price Chart” adds tiny markers on the candles at the pivot location so you can see where the divergence event was confirmed, while the oscillator panel uses lines and labels to make the divergence relationship obvious.
For trading, the cleanest way to use this tool is to separate “bias” from “timing.” The RBF Price Trail is your bias filter because it is structure-like and tends to hold and ratchet rather than constantly drifting. When price is closing above the trail and the trail is colored bullish, you treat the market as long-biased and you focus on long setups, pullbacks, and continuation entries. When price is closing below the trail and the trail is bearish, you treat the market as short-biased and you focus on short setups, rallies, and continuation shorts. The PPO histogram is then your timing and pressure confirmation. In an up-bias, the highest quality continuation conditions are when the histogram is above zero and stays above zero through pullbacks, because that means the shorter-term pressure is still supporting the longer-term drift. When the histogram dips below zero during an up-bias, it is a warning that the daily component is now opposing, which often corresponds to a deeper pullback, a rotation, or a period of consolidation, so you either wait for the histogram to recover above zero or you tighten expectations and manage risk more aggressively. In a down-bias, the mirror logic applies: the best continuation conditions are when the histogram is below zero, and pushes above zero tend to represent countertrend rotations or pauses inside the bearish condition.
Divergence is best used as an early warning and a location filter, not as a standalone entry button. Regular bullish divergence, where price makes a lower low but the oscillator makes a higher low, can signal bearish pressure is weakening and is most useful when it appears while price is below the RBF trail but failing to continue downward, because it often precedes a reclaim of the trail or at least a meaningful rotation. Regular bearish divergence, where price makes a higher high but the oscillator makes a lower high, can signal bullish pressure is weakening and is most useful when it appears while price is above the trail but extension is failing, because it often precedes a drop back to the trail or a full flip. Hidden divergence is a continuation concept. Hidden bullish divergence, where price makes a higher low while the oscillator makes a lower low, often shows up during pullbacks in an uptrend and can help you confirm continuation as long as the RBF bias remains bullish. Hidden bearish divergence, where price makes a lower high while the oscillator makes a higher high, often shows up during rallies in a downtrend and can help you confirm continuation as long as the RBF bias remains bearish. In practice, you’ll get the best results when you only act on divergence that aligns with the RBF bias for hidden divergence continuation, and you treat regular divergence as a caution or reversal setup only when it occurs near a meaningful swing and is followed by a bias change or a strong momentum shift on the PPO.
The most practical workflow is to keep the RBF trail visible on the price chart as your regime guide, keep the PPO histogram as your momentum confirmation, and decide in advance whether you want candle coloring to represent the PPO state or the RBF state so your eyes are not reading two different meanings at once. if you want the cleanest “trend-following” behavior, color candles by the RBF trail and use the PPO histogram as the timing trigger. If you want the cleanest “momentum-first” behavior, color candles by PPO and treat the RBF trail as the higher-level filter for whether you should press a move or fade it.
Z Score FilterComposite Risk Filter
This indicator works because it aggregates several independent but structurally important stress channels (currency strength, rates, equity volatility, bond volatility, and credit conditions) into a single normalized measure. Each input is transformed into a z-score, meaning the composite does not care about absolute levels, narratives, or regimes; it only measures whether conditions are tightening or easing relative to what has been normal recently. That makes the output robust to inflation, secular trends, and structural shifts that break simpler correlations.
What the indicator captures is not direction but constraint. Markets do not move because risk is “on” or “off”; they move because certain behaviors are more or less permitted under prevailing financial conditions. By identifying when systemic pressure is elevated, relaxed, or neutral, the indicator helps align trade expectations with the environment price is operating in. When used as a filter — not a signal — it reduces false confidence, improves expectancy selection, and keeps price in the primary role where it belongs.
Structural Trend Integrity Score (STIS)The Structural Trend Integrity Score (STIS) is a market regime and trend-quality indicator designed to evaluate the health and durability of a price trend, rather than its direction or momentum. Instead of focusing on overbought or oversold conditions, STIS measures whether a trend is structurally supported by consistent organization, persistence above trend, controlled pullbacks, and smooth progression.
STIS outputs a normalized score from 0 to 100, where higher values indicate stronger and more reliable trend structure, and lower values signal increasing fragility or structural breakdown. This makes it especially well suited for index funds and highly liquid markets, where trends tend to persist or fail based on internal structure rather than short-term price acceleration.
The indicator is intended to be used as a risk and confidence framework, not as a direct buy or sell signal. STIS helps traders and investors determine when it is efficient to maintain or increase exposure and when caution is warranted. It works best when paired with separate timing or entry tools and is particularly effective for long-only or trend-following strategies.
Risk Filter Composite (DXY + US10Y + VIX + MOVE + Credit)Risk Filter Composite Indicator
This indicator is a contextual risk filter, not a trading signal. It combines five macro-market inputs — U.S. Dollar (DXY), U.S. 10-Year Yield, Equity Volatility (VIX), Bond Volatility (MOVE), and Credit Conditions — into a single composite value using standardized (z-score) normalization. The result is a continuous measure of risk pressure, where higher values indicate tightening / risk-off conditions and lower values indicate easing / risk-on conditions. The indicator is designed to be computed on a higher timeframe (recommended: 1-hour) and used as background context while executing trades on lower timeframes. It does not predict direction and does not “override” price; it provides regime awareness only.
Key Inputs
• Compute on timeframe: Sets the timeframe used to calculate the composite (default and recommended: 1H).
• Z-score lookback length: Number of bars used to define “normal” conditions for each component (default: 200 bars). Larger values produce slower, more regime-level behavior; smaller values are more reactive.
• Credit source: Choose between HYG/LQD (intraday credit proxy) or High-Yield OAS (daily, FRED). HYG/LQD is recommended for intraday trading; OAS is better suited for swing or macro analysis.
• Component weights: Allows relative emphasis on DXY, rates, volatility, or credit without changing the structure of the indicator.
• Risk-on / Risk-off thresholds: Define when the background shading changes state; defaults are ±0.75 standard deviations.
Interpretation
The indicator defines environmental state, not trade entries. Risk-off readings do not require price to fall, and risk-on readings do not require price to rise. The tool is best used to set expectations for trend quality, breakout reliability, and mean-reversion risk, not to time trades.
ALPHA FUSION FIX - RSI Extreme Strategy [Webhook Ready]Overview: This indicator is a simplified, high-precision tool focused on RSI Overbought and Oversold extremes (95/5). It was designed for traders who seek exhaustion points in the market with surgical precision.
Key Features:
Pure RSI Logic: Signals are triggered strictly at RSI 95 (Short) and RSI 5 (Long), avoiding market noise.
Automation Ready: Includes a dynamic JSON Webhook integration for automated trading on exchanges like Binance.
Risk Management: Built-in inputs for Margin, Leverage, and Max Positions directly in the UI.
Visual Aids: Includes a Trio of EMAs (28, 80, 200) for trend context.
How to use:
Attach to any chart (Optimized for 15m/1h timeframes).
Configure your Webhook Secret and risk parameters.
Set an alert using "Any alert() function call".
COT Net Positions -TFF, LEGACY, DISAGGREGATED ReportsShow Net Positions, Long, Short for the CoT Reports
Omega Stock Evaluation [OmegaTools]Omega Stock Evaluation is a comprehensive, institutional-grade equity analysis framework designed to synthesize fundamental valuation, technical context, relative performance, risk metrics, volume behavior, and analyst sentiment into a single decision-support system. It is not a “signal generator” in the traditional sense: it is a multi-dimensional evaluation engine built to answer one question—how a stock is positioned in terms of value, trend, risk, and market behavior.
Purpose
This script is designed to provide structured, repeatable stock evaluation for investors and analysts who want more than isolated indicators. It consolidates multiple independent valuation models, long-horizon technical equilibrium measures, market-relative valuation (multiple normalization), risk diagnostics, and behavioral proxies into a single output that can be monitored over time.
What the indicator delivers
• A blended Fair Price derived from fundamentals, market multiples, and technical equilibrium
• A volatility-normalized Oscillator that expresses discount/premium positioning vs fair value
• A multi-factor Rating (Strong Sell → Strong Buy) designed for strategic positioning
• A real-time Dashboard with: Rating, VaR, Beta, Trend, Location, Fundamental status, Performance status, Institutional bias, and Analysts consensus
• Optional overlays: Fundamental fair value, Technical fair value, PE-adjusted fair value, individual fundamental models, and analyst target price bands
Data and robustness logic
The script uses TradingView Financial datasets and includes normalization / cleaning steps to keep metrics realistic across different sources and reporting formats. Percent-like fields are automatically converted when needed, missing values are handled gracefully, and extreme or unstable multiples (e.g., implausible EV/Sales or EV/EBITDA) are filtered out.
Risk-adjusted discount rate and growth constraints
A core design choice is to avoid “fantasy valuations.” The script defines a bounded required return r , adjusted by credit/financial risk using the Altman Z-Score when available. Growth assumptions are also bounded and constrained so that terminal growth remains below the discount rate, preventing mathematically explosive valuations and improving stability across sectors.
Fundamental valuation engine (multi-model)
The indicator computes up to seven independent fair value estimates, each based on a distinct valuation philosophy. These estimates are then aggregated into a robust fundamental fair price using filtering and averaging logic to reduce outlier impact.
Fundamental models included
M1 – Discounted Cash Flow (FCF)
Projects Free Cash Flow for a fixed horizon and discounts it using the required return, then converts enterprise value to equity value by adjusting for net debt and shares outstanding.
M2 – Peter Lynch / PEG-style implied price
Derives an implied target P/E from growth and dividend yield (bounded), then estimates fair price as EPS(TTM) × target P/E.
M3 – Economic Value Added (EVA)
Estimates firm value as invested capital plus the present value of EVA streams, where EVA is NOPAT minus the capital charge (r × invested capital).
M4 – EV/Sales normalized valuation
Uses the historical median EV/Sales multiple as a target and values the company using TTM revenue, adjusted to equity value.
M5 – Residual Income valuation (ROE fade)
Builds a residual income model where ROE advantage fades toward the required return over the horizon, adding the present value of residual income to book value.
M6 – EV/EBITDA normalized valuation
Uses the historical median EV/EBITDA multiple as a target and values the company using TTM EBITDA, adjusted to equity value.
M7 – Justified P/B (closed-form residual income)
Computes a justified price-to-book estimate from ROE, growth, and required return and derives a fair price from BVPS.
Fundamental fair price aggregation
Only valid, positive model outputs are used. The script sorts the valuation set, discards extreme tails when enough models are available, and computes a robust average to produce a stable Fundamental Fair Price suitable for continuous monitoring.
Technical fair value
To avoid relying solely on accounting-driven valuations, the script computes a Technical Fair Price from long-horizon market structure: it blends the 252-day high/low range with a long-term VWMA equilibrium. This acts as a market-derived anchor representing where price tends to revert across cycles.
Market multiple normalization (PE-adjusted valuation)
The script calculates a PE-Adjusted Fair Price by comparing the stock’s current P/E (from EPS TTM) to the S&P 500 average P/E series. This provides an immediate market-relative valuation signal: “what would this stock’s price be if it traded at the index multiple?”
Blended fair price
The final Fair Price is a composite average of:
• Fundamental fair price (multi-model)
• PE-adjusted fair price (market-relative)
• Technical fair price (market equilibrium)
This blend reduces single-model bias and improves usability across sectors and regimes.
Oscillator and location logic
Deviation from fair price is normalized by long-horizon volatility (standard deviation), producing a valuation oscillator that expresses where price sits relative to fair value in standardized units. The script defines three regimes:
• Discount (deep undervaluation vs fair price)
• Neutral
• Premium (overvaluation vs fair price)
Color gradients adapt dynamically to the oscillator level for fast visual interpretation.
Trend health and structural direction
Instead of using only price moving averages, trend is assessed using the slope of fair value itself (a structural measure). Rising fair price implies improving fundamentals/conditions; declining fair price implies deterioration. This supports a more “business-like” view of trend.
Performance and institutional behavior
Performance is evaluated relative to the PE-adjusted reference using ATR-scaled thresholds, classifying the stock as underperforming/overperforming vs market-normalized expectations.
Institutional activity is approximated using statistically significant volume expansions and short-term price direction during those expansions, producing a Buying / Selling / Neutral institutional bias proxy.
Composite rating system
The indicator converts multiple components into a unified Rating score: trend, valuation location, fundamental mispricing, relative performance, institutional bias, long-term MA regime, and RSI extremes. The rating is scaled by a volume factor so that high-conviction volume environments receive greater weight.
Final categories are mapped as: Strong Sell , Sell , Hold , Buy , Strong Buy , displayed both numerically and textually.
Risk metrics: VaR and Beta
The dashboard includes:
• Historical VaR (percentile-based on daily log returns) for downside risk awareness
• Beta computed from relative volatility and correlation vs SPY across a long window
These metrics provide critical context for comparing opportunities across different risk profiles.
Analyst consensus
Sell-side recommendations are aggregated into:
• A dominant consensus label (Strong Buy → Strong Sell)
• A weighted average recommendation score (%)
This allows you to identify alignment or divergence between market valuation, price behavior, and analyst positioning.
Visual options and overlays
The indicator is designed to be clean, modular, and presentation-ready. You can choose to display:
• Blended Fair Price
• Technical, Fundamental, and PE-Adjusted fair prices
• All individual fundamental model lines (M1–M7)
• Analyst target price bands (High/Low/Average), plotted forward from the official target price date
A compact, professional table summarizes the entire evaluation in one glance.
Recommended workflow
This tool is best used for:
• Long-term screening and rotation
• Valuation + trend confluence analysis
• Portfolio construction and risk-aware allocation
• Identifying discounted stocks with improving structure (or expensive stocks with weakening structure)
It is not intended as a standalone entry/exit trigger for short-term trading.
Disclaimer
Omega Stock Evaluation is an analytical tool and does not constitute financial advice. Financial datasets may vary in availability and update timing across tickers and exchanges. Always validate with primary sources before making investment decisions.
Omega Stock Evaluation does not try to predict. It tries to quantify context—value, trend, risk, and behavior—in one coherent system.
EPS 4SMAThis indicator displays the quarterly EPS as a 4SMA. This allows for a visual judgment of whether the EPS has increased or decreased compared to the same period last year. Additionally, if it has increased, the SMA changes to red. Furthermore, it shows a label indicating the percentage increase or decrease compared to the same period last year.
total_revenue 4SMAThis indicator displays quarterly sales as a 4SMA. This allows for a visual assessment of whether sales have increased or decreased compared to the same period last year. Additionally, if sales have increased, the SMA changes to red. Furthermore, it shows the percentage increase or decrease compared to the same period last year as a label.
RSI Divergence (No pivots, delta + cooldown)RSI Divergence (No Pivots, Delta + Cooldown)
This indicator detects classic RSI divergence without using pivots/fractals and without looking into future bars. It is designed to behave closer to “human eyeballing” by comparing current extremes to the last N bars, and it triggers signals only on bar close (non-repainting after the candle closes).
Logic
Bearish divergence: Price makes a new lookback high (relative to the previous lookback bars), while RSI does not make a new high.
A signal is printed only if RSI is at least Δ RSI points below the previous RSI high over the same lookback window.
Bullish divergence: Price makes a new lookback low (relative to the previous lookback bars), while RSI does not make a new low.
A signal is printed only if RSI is at least Δ RSI points above the previous RSI low over the same lookback window.
Inputs
RSI Length: RSI period.
Lookback (bars): Number of past bars used to define “new high/low” for both price and RSI.
Use High/Low (else Close): Choose whether price extremes are based on High/Low or Close.
RSI delta (points): Minimum RSI gap required to confirm the divergence (reduces weak/noisy signals).
Cooldown after signal (bars): After any signal, the indicator suppresses new signals for the next X bars to reduce alert/label spam.
Alerts
The script includes two alert conditions:
Bearish divergence (delta + cooldown)
Bullish divergence (delta + cooldown)
Recommended alert setting: Once per bar close.
Gurumantra Collective decision
RSI for MArket Entry
India Vix for volatility
Atr for stop loss
Volume : for assement
ORB 15 Min Fixed (09:30 EST/EDT-NY OPEN)This script is for the ORB 15 min strategy. It starts (initializes) at 09:30AM US Eastern Time(New York Open).






















