NQ Points of Interest Suite (Fixed)Defines pre level of support and resistance
Daily MID LOW OPEN CLOSE
WEEKLY MID LOW OPEN CLOSE
MONTHLY MID LOW OPEN CLOSE
Indikator dan strategi
Enhanced ONH / ONL Auto Levels (Fixed Alerts)This script automatically identifies and plots the Overnight High (ONH) and Overnight Low (ONL)—two of the most important liquidity levels for intraday futures and index traders.
The indicator scans the entire overnight session (default: 18:00–09:30 EST for ES) and records the highest wick and lowest wick formed during Globex. These levels are then projected into the regular trading session, giving traders clear reference points for potential reversals, breakouts, liquidity grabs, and high-probability retest setups.
ONH/ONL levels act as magnet zones, liquidity pockets, and institutional decision points—commonly targeted during the opening drive and London/New York overlap. Whether price sweeps, reclaims, or breaks these levels, the reaction often creates reliable trade opportunities for scalpers and day traders.
takeshi GPT//@version=5
indicator("猛の掟・初動スクリーナーGPT", overlay = true, timeframe = "", timeframe_gaps = true)
// ======================================================
// ■ 1. パラメータ設定
// ======================================================
// EMA長
emaFastLen = input.int(5, "短期EMA (5)", minval = 1)
emaMidLen = input.int(13, "中期EMA (13)", minval = 1)
emaSlowLen = input.int(26, "長期EMA (26)", minval = 1)
// 出来高
volMaLen = input.int(5, "出来高平均期間", minval = 1)
volMultInitial = input.float(1.3, "出来高 初動ライン (×)", minval = 1.0, step = 0.1)
volMultStrong = input.float(1.5, "出来高 本物ライン (×)", minval = 1.0, step = 0.1)
// 押し目・レジスタンス
pullbackLookback = input.int(20, "直近高値の探索期間", minval = 5)
pullbackMinPct = input.float(5.0, "押し目下限 (%)", minval = 0.0, step = 0.1)
pullbackMaxPct = input.float(15.0, "押し目上限 (%)", minval = 0.0, step = 0.1)
// ピンバー判定パラメータ
pinbarWickRatio = input.float(2.0, "ピンバー下ヒゲ/実体 比率", minval = 1.0, step = 0.5)
pinbarMaxUpperPct = input.float(25.0, "ピンバー上ヒゲ比率上限 (%)", minval = 0.0, step = 1.0)
// 大陽線判定
bigBodyPct = input.float(2.0, "大陽線の最低値幅 (%)", minval = 0.1, step = 0.1)
// ======================================================
// ■ 2. 基本テクニカル計算
// ======================================================
emaFast = ta.ema(close, emaFastLen)
emaMid = ta.ema(close, emaMidLen)
emaSlow = ta.ema(close, emaSlowLen)
// MACD
= ta.macd(close, 12, 26, 9)
// 出来高
volMa = ta.sma(volume, volMaLen)
// 直近高値（押し目判定用）
recentHigh = ta.highest(high, pullbackLookback)
drawdownPct = (recentHigh > 0) ? (recentHigh - close) / recentHigh * 100.0 : na
// ======================================================
// ■ 3. A：トレンド（初動）条件
// ======================================================
// 1. 5EMA↑ 13EMA↑ 26EMA↑
emaUpFast = emaFast > emaFast
emaUpMid = emaMid > emaMid
emaUpSlow = emaSlow > emaSlow
condTrendUp = emaUpFast and emaUpMid and emaUpSlow
// 2. 黄金並び 5EMA > 13EMA > 26EMA
condGolden = emaFast > emaMid and emaMid > emaSlow
// 3. ローソク足が 26EMA 上に2日定着
condAboveSlow2 = close > emaSlow and close > emaSlow
// ======================================================
// ■ 4. B：モメンタム（MACD）条件
// ======================================================
// ヒストグラム縮小＋上向き
histShrinkingUp = (math.abs(histLine) < math.abs(histLine )) and (histLine > histLine )
// ゼロライン直下〜直上での上向き
nearZeroRange = 0.5 // ゼロライン±0.5
macdNearZero = math.abs(macdLine) <= nearZeroRange
// MACDが上向き
macdTurningUp = macdLine > macdLine
// MACDゼロライン上でゴールデンクロス
macdZeroCrossUp = macdLine > signalLine and macdLine <= signalLine and macdLine > 0
// B条件：すべて
condMACD = histShrinkingUp and macdNearZero and macdTurningUp and macdZeroCrossUp
// ======================================================
// ■ 5. C：需給（出来高）条件
// ======================================================
condVolInitial = volume > volMa * volMultInitial // 1.3倍〜 初動点灯
condVolStrong = volume > volMa * volMultStrong // 1.5倍〜 本物初動
condVolume = condVolInitial // 「8掟」では1.3倍以上で合格
// ======================================================
// ■ 6. D：ローソク足パターン
// ======================================================
body = math.abs(close - open)
upperWick = high - math.max(close, open)
lowerWick = math.min(close, open) - low
rangeAll = high - low
// 安全対策：0除算回避
rangeAllSafe = rangeAll == 0.0 ? 0.0000001 : rangeAll
bodyPct = body / close * 100.0
// ● 長い下ヒゲ（ピンバー）
lowerToBodyRatio = (body > 0) ? lowerWick / body : 0.0
upperPct = upperWick / rangeAllSafe * 100.0
isBullPinbar = lowerToBodyRatio >= pinbarWickRatio and upperPct <= pinbarMaxUpperPct and close > open
// ● 陽線包み足（bullish engulfing）
prevBearish = close < open
isEngulfingBull = close > open and prevBearish and close >= open and open <= close
// ● 5EMA・13EMAを貫く大陽線
crossFast = open < emaFast and close > emaFast
crossMid = open < emaMid and close > emaMid
isBigBody = bodyPct >= bigBodyPct
isBigBull = close > open and (crossFast or crossMid) and isBigBody
// D条件：どれか1つでOK
condCandle = isBullPinbar or isEngulfingBull or isBigBull
// ======================================================
// ■ 7. E：価格帯（押し目位置 & レジスタンスブレイク）
// ======================================================
// 7. 押し目 -5〜15%
condPullback = drawdownPct >= pullbackMinPct and drawdownPct <= pullbackMaxPct
// 8. レジスタンス突破 → 押し目 → 再上昇
// 直近 pullbackLookback 本の高値をレジスタンスとみなす（現在足除く）
resistance = ta.highest(close , pullbackLookback)
// レジスタンスブレイクが起きたバーからの経過本数
brokeAbove = ta.barssince(close > resistance)
// ブレイク後に一度レジ上まで戻したか
pulledBack = brokeAbove != na ? ta.lowest(low, brokeAbove + 1) < resistance : false
// 現在は再上昇方向か
reRising = close > close
condBreakPull = (brokeAbove != na) and (brokeAbove <= pullbackLookback) and pulledBack and reRising
// ======================================================
// ■ 8. 最終 8条件 & 三点シグナル
// ======================================================
// 8つの掟
condA = condTrendUp and condGolden and condAboveSlow2
condB = condMACD
condC = condVolume
condD = condCandle
condE = condPullback and condBreakPull
all_conditions = condA and condB and condC and condD and condE
// 🟩 最終三点シグナル
// 1. 長い下ヒゲ 2. MACDゼロライン上GC 3. 出来高1.5倍以上
threePoint = isBullPinbar and macdZeroCrossUp and condVolStrong
// 「買い確定」＝ 8条件すべて ＋ 三点シグナル
buy_confirmed = all_conditions and threePoint
// ======================================================
// ■ 9. チャート表示 & スクリーナー用出力
// ======================================================
// EMA表示
plot(emaFast, color = color.orange, title = "EMA 5")
plot(emaMid, color = color.new(color.blue, 10), title = "EMA 13")
plot(emaSlow, color = color.new(color.green, 20), title = "EMA 26")
// 初動シグナル
plotshape(
all_conditions and not buy_confirmed,
title = "初動シグナル（掟8条件クリア）",
style = shape.labelup,
color = color.new(color.yellow, 0),
text = "初動",
location = location.belowbar,
size = size.small)
// 三点フルシグナル（買い確定）
plotshape(
buy_confirmed,
title = "三点フルシグナル（買い確定）",
style = shape.labelup,
color = color.new(color.lime, 0),
text = "買い",
location = location.belowbar,
size = size.large)
// スクリーナー用 series 出力（非表示）
plot(all_conditions ? 1 : 0, title = "all_conditions (8掟クリア)", display = display.none)
plot(buy_confirmed ? 1 : 0, title = "buy_confirmed (三点＋8掟)", display = display.none)
Dynamische Open/Close Levels mit Historie🎯 Key Features
This indicator provides clean, configurable horizontal lines showing the Open and Close prices of a higher chosen timeframe (e.g., the last 5-minute candle), serving as dynamic support and resistance levels.
Unlike traditional indicators that draw messy "steps" across your entire chart, this tool is designed for clarity and precise control.
Controlled History: Easily define how many of the last completed periods (e.g., 5-minute blocks) should remain visible on the chart. Set to 0 for only the current, active levels.
No Stepladder Effect: Uses advanced drawing methods (line.new and object management) to ensure the historical levels remain static and do not clutter your chart history.
Dynamic Labels: The labels (e.g., "Open (5)") automatically adjust to show the timeframe you configured in the indicator settings, eliminating confusion when switching timeframes.
Customizable: Full control over colors, line length, and label positioning/size.
💡 Ideal Use Case
Perfect for scalpers and day traders operating on lower timeframes (1m, 3m) who want to quickly visualize and respect crucial price action levels from a higher context (e.g., 5m, 15m, 1h).
VCAI Volume LiteVCAI Volume Lite is a clean, modern take on volume analysis designed for traders who want a clearer read on participation without loading multiple indicators.
This Lite edition focuses on the essentials:
real activity vs dead sessions
expansion vs contraction
momentum shifts around breakouts and pullbacks
No hype, no filters, no hidden logic — just a straightforward volume tool rebuilt with the VCAI visual framework.
Use it to quickly spot:
stronger moves backed by genuine participation
weak pushes running on low volume
areas where momentum may stall or accelerate
Part of the VCAI Lite Series.
AKP Momentum TableThe table give at one glance the RSI,ADX and Relative Strength values on the 15 min,125 min, Daily,Weekly and Monthly timeframes to help identify the stocks with strong momentum securities. The Table is movable at various parts of the screen from a drop down menu and the values of RSI,ADX and RS period can also be changes.Enjoy!
Fanfans结构加强vwap版 + 极简系统### 中英文双语总结（300字内）
中文：该指标整合Fanfans结构、动态摆动VWAP、高斯GWMA、MACD及极简交易系统，支持趋势过滤（可选GWMA/VWAP/结构维度）、多离场模式（ATR止盈止损/GWMA离场/混合）与移动止损。具备多空信号标注、止损止盈线绘制、多维度共振警报，图表信息面板实时展示结构/VWAP/GWMA/MACD状态，可自定义过滤规则、显示样式及交易参数，适配短周期交易，兼顾趋势判断与信号执行的灵活性。
English: This indicator integrates Fanfans structure, dynamic swing VWAP, Gaussian GWMA, MACD and a simple trading system. It supports trend filtering (GWMA/VWAP/structure optional), multiple exit modes (ATR SL/TP, GWMA exit, hybrid) and trailing stop. Featuring long/short signal labeling, SL/TP line drawing, multi-dimensional resonance alerts, its chart info panel displays real-time status of structure/VWAP/GWMA/MACD. Customizable filter rules, display styles and trading parameters make it suitable for short-term trading, balancing trend judgment and signal execution flexibility.
Fanfans极简原版优化版### 中英文双语总结（300字内）
中文：该指标为Fanfans极简原版优化版，基于RSI和ATR构建核心交易信号，新增趋势（EMA）、成交量、时间、价格位置多维度过滤，及动态ATR倍数调整功能。含同方向订单间隔限制、多级止盈止损（支持阈值触发），内置信号质量评分、标签标注与警报推送，可自定义过滤规则和显示样式，通过多维度筛选降低无效信号，提升短周期交易信号准确性。
English: This is an optimized version of Fanfans' minimalist indicator, building core trading signals based on RSI and ATR. It adds multi-dimensional filters (trend/EMA, volume, time, price position) and dynamic ATR multiplier adjustment, includes same-direction order interval limits, multi-level SL/TP (supporting threshold triggers), built-in signal quality scoring, label annotation and alert push. Customizable filter rules and display styles reduce invalid signals via multi-dimensional screening, improving short-term trading signal accuracy.
Fanfans结构+极简合并增强版V2
中文：该指标整合Fanfans结构、高斯GWMA、动态摆动VWAP、MACD及极简交易信号，内置结构/GWMA/VWAP/EMA多维度过滤、成交量确认、动态ATR等优化功能。支持多空信号标注、止损止盈分层设置、信号质量评分，搭配图表信息面板与多级别警报共振机制，适用于1分钟等短周期交易，兼顾信号灵敏度与准确性。
English: This indicator integrates Fanfans structure, Gaussian GWMA, dynamic swing VWAP, MACD, and simple trading signals. It features multi-dimensional filters (structure/GWMA/VWAP/EMA), volume confirmation, dynamic ATR optimization. Supporting long/short signal labeling, layered SL/TP settings, signal quality scoring, it comes with a chart info panel and multi-level alert resonance. Suitable for short-term trading (e.g., 1-minute timeframe), balancing signal sensitivity and accuracy.
MACD Momentum Pro MACD Momentum Pro is an enhanced version of the classic MACD designed to help traders identify momentum strength with far greater clarity.
In addition to the traditional MACD line, Signal line, and histogram, this tool introduces two new momentum-intensity alerts:
• Strong Green – bullish momentum accelerating above the zero line
• Strong Red – bearish momentum accelerating below the zero line
These conditions allow traders to quickly spot when market pressure is truly strengthening, reducing noise and improving decision-making in trending environments.
The indicator also includes real-time alerts for:
• MACD/Signal crosses (bullish & bearish)
• MACD zero-line crosses
• Shifts between rising/falling histogram states
All moving averages (EMA or SMA) are fully customizable, and the visual histogram automatically adapts color to reflect momentum transitions.
Whether you are trading breakouts, trend reversals, or momentum continuation setups, this upgraded MACD version provides a clearer, more actionable view of market strength—while keeping the original MACD logic intact.
Stage 2 Pullback Swing indicatorThis scanner is built for swing traders who want high-probability pullbacks inside strong, established uptrends. It targets names in a confirmed Stage 2 bull phase (Weinstein model) that have pulled back 10–30% from a recent swing high on light selling volume, while still respecting fast EMAs.
Goal: find powerful uptrending stocks during controlled dips before the next leg higher.
What it looks for
Strong prior uptrend: price above the 50 and 200 SMAs, momentum positive over multiple timeframes
Confirmed Stage 2: price above a rising 30-week MA on the weekly chart
Pullback depth: 10–30% off recent swing highs—not too shallow, not broken
Pullback quality: range contained, no panic selling, trend structure intact
EMA behavior: price near EMA10 or EMA20 at signal time
Volume contraction: sellers fading throughout the pullback
Bullish shift: green candle back in trend direction
Why this matters
This setup hints at institutions defending positions during a temporary dip. Strong stocks pull back cleanly with declining volume, then resume the primary trend. This script alerts you when those conditions align.
Best way to use
Filter a strong universe before applying—quality tickers only
Pair with clear trade plans: risk defined by prior swing low or ATR
Trigger alerts instead of hunting charts manually
Intended for
Swing traders who want momentum continuation setups
Traders who prefer entering on controlled retracements
Anyone tired of chasing extended breakouts
EMA & SMA StackA clean, lightweight trend-structure tool that overlays six moving averages on price so you can instantly see direction, momentum, and trend health.
Includes
3 Exponential Moving Averages with adjustable lengths
3 Simple Moving Averages with adjustable lengths
Thin, color-coded lines for fast visual clarity
Default layout: 8 EMA (red), 21 EMA (orange), 34 EMA (yellow), 50 SMA (green), 100 SMA (blue), 200 SMA (purple)
How to use
When faster EMAs are above slower EMAs and price is above all lines, trend strength is bullish.
When faster EMAs fall below slower SMAs and price is under all lines, trend strength is bearish.
Tight stacking = compression and potential breakout zones.
Wide separation = strong trend or exhaustion risk.
Why it helps
This removes guesswork. You get immediate confirmation of trend direction, support and resistance, and momentum shift on any timeframe.
Minimal clutter. Maximum signal.
Daily Tracker Highs LowsSolid lines mark the most recent daily highs/lows that have not been crossed yet (you choose how many per side).
Dashed lines mark daily highs/lows from the last N days that have been crossed since—use as secondary S/R or “magnet” levels.
White lines show today’s high/low updating in real time.
Tune settings to pick how many uncrossed levels per side (1–10), the lookback window for crossed levels, and an optional cap per side.
ATR Stop Loss Finder (Strict Breakout Mode)Title: ATR Stop Loss Finder (Strict Breakout Mode)
Description:
Volatility-Based Risk Management: Generates dynamic trailing stop-loss lines for both Long (Lower Line) and Short (Upper Line) positions based on ATR volatility.
Strict Breakout Detection: Features a unique "Strict Breakout" logic that highlights trend acceleration. It visually marks whenever the Long SL breaks a historical high or the Short SL breaks a historical low over a user-defined lookback period (e.g., 50 bars).
Visual Signals: Automatically plots Red Circles for bullish SL breakouts (New Highs) and Blue Circles for bearish SL breakdowns (New Lows), making strong momentum shifts easy to spot.
Real-Time Dashboard: Includes an informative table displaying current ATR and SL price levels for quick reference.
ONE Clear Multi‑Timeframe Synchronization (MTS) [Sync]**Script Profile — ONE Clear Multi‑Timeframe Synchronization (MTS) (Pine v6)**
* **Purpose:** Identifies a *multi‑timeframe “ignition”* pattern—strong daily upside confirmed by the next day and aligned with weekly & monthly structure—designed for pattern recognition and research (non‑financial advice).
* **Core Signals:**
* **MTS D1 (Ignition):** Day‑1 ≥ **+7%**, **close near high** (≥95%), **volume expansion** vs 20‑day average, and **prior‑day hammer** (stabilization).
* **MTS D2 (Confirmation):** Day‑2 ≥ **+5%** to validate D1.
* **Higher‑TF Alignment:** Confirms **weekly** (close above prior week’s high or green week) and **monthly** (close above prior month’s high or green month) conditions via `request.security`.
* **Context Overlays (optional):** Pivot‑based **Support/Resistance** with **“B” breaks** (green = resistance break; red = support break) gated by a **volume oscillator** (EMA5 vs EMA10).
* **Alerts:**
* **MTS Ignition Confirmed** (D1 + D2 + hammer + weekly/monthly + volume gate)
* **Support/Resistance Broken** (with volume gate)
* **Stability Fix:** Precomputes `ta.crossover`/`ta.crossunder` **once per bar** and reuses variables in conditions to avoid inconsistent historical evaluation—*no change in strategy logic or thresholds.*
* **Typical Read:** Use D1 (low/mid/high) as reference levels; D2 confirms regime shift; green “B” after D2 suggests continuation, red “B” warns of failure.
RSI 40-60 Range (30 Bars)RSI 40-60 Range (30 Bars) test for pine screenner for detec rsi 40-60 during 30 days
PEG RSI [Auto EPS Growth]The PEG RSI is a hybrid indicator that combines fundamental valuation with technical momentum. It applies the Relative Strength Index (RSI) directly to the Price/Earnings-to-Growth (PEG) Ratio.
Unlike traditional PEG indicators that require manual input for growth rates, this script automatically calculates the Compound Annual Growth Rate (CAGR) of Earnings Per Share (EPS) based on historical data.
Key Features
- Auto-Calculated Growth: Uses historical TTM Earnings Per Share (EPS) to calculate the CAGR over a user-defined period (Default: 4 years).
- Dynamic Valuation: Converts the static PEG ratio into an oscillator (RSI) to identify relative valuation extremes.
- Trend & Momentum: Visualizes the momentum of the PEG ratio relative to its own history.
Educational Case Study
This indicator is designed for educational purposes and research. Instead of relying on fixed overbought or oversold levels, users are encouraged to study the correlation between the PEG RSI and price action independently.
- Observe how the price reacts when the PEG RSI reaches upper or lower extremes.
- Different stocks may respect different RSI zones based on their growth stability.
- Use this tool to analyze how market valuation momentum shifts over time.
Settings:
- Years for CAGR Growth: Timeframe to calculate EPS growth (Default: 4 years).
- RSI Length: Lookback period for the RSI calculation (Default: 14).
Note: This indicator works best on stocks with a consistent history of earnings. It requires financial data to function (will not work on assets without EPS like Crypto or Forex).
KOSPI RS Rating (Korea)This indicator measures the relative strength of a stock compared to the KOSPI index.
ONH / ONL Auto LevelsThis script automatically detects and plots the Overnight High (ONH) and Overnight Low (ONL) for each trading day.
It scans the entire overnight/Globex session (default: 18:00–09:30 EST for ES futures) and records the highest and lowest prices formed during that period.
At the start of the regular trading session (RTH), ONH and ONL levels remain on the chart as key liquidity zones.
These levels are commonly used for:
• Identifying liquidity sweeps
• Opening drive reversals
• Break-and-retest setups
• VWAP + ON levels confluence
• Scalping on 1m–5m charts
The script updates automatically every day and draws clean, minimal levels suitable for intraday traders.
Time settings can be adjusted to match any market or instrument.
GLI / Asset Structural Trend RatioBasicly I asked AI to create a GLI to Asset trend ratio indicator.
D/W/M RSI & %CHNG + ATRThis indicator provides a comprehensive, at-a-glance dashboard displaying key technical metrics across multiple timeframes: Daily, Weekly, and Monthly. It tracks Price Change Percentage, Relative Strength Index (RSI), and Average True Range (ATR) for each timeframe, helping traders quickly assess market trends, momentum, and volatility in one view.
Key Features:
Price Change % (Daily/Weekly/Monthly):
Displays the percentage change in price over the selected timeframes, giving traders insight into short-term, medium-term, and long-term price movement trends.
Relative Strength Index (RSI):
Shows the RSI value on Daily, Weekly, and Monthly timeframes. The RSI measures momentum, indicating overbought or oversold conditions:
Average True Range (ATR):
Tracks the ATR across multiple timeframes to assess market volatility. Higher ATR values signify more significant price movement (higher volatility), while lower values suggest quieter markets.
This indicator helps traders make informed decisions by quickly visualizing price momentum, market volatility, and possible trend reversals. It's ideal for swing traders, day traders, and long-term investors who need a bird's-eye view of the market across different timeframes.
How to Use:
Add the indicator to your TradingView chart.
Review the Price Change % to see how the market is trending across the selected timeframes.
Use the RSI to identify overbought or oversold conditions.
Check the ATR to assess current market volatility and adjust position sizes accordingly.
Squeeze Momentum OmniViewSqueeze Momentum OmniView+ is an enhanced and modernized version of the classic Squeeze Momentum Indicator by LazyBear, rebuilt from the ground up in Pine Script v6.
This upgraded edition introduces OmniView color-mapping, adaptive histogram scaling, extreme detection, heat-zone alerts, and dynamic fire/ice icons, all fully synchronized with your selected visualization mode.
Key Features
1. OmniView Color Engine (Exact Price-State Matching)
Reproduces the full OmniView color logic (aqua → yellow → red), tracking market compression, expansion, and directional strength using a seamless multi-gradient system.
2. Dual Histogram Modes
Choose how the histogram is normalized:
Price-State Mode: Colors reflect price position within its recent range.
Self-Normalized Mode: Colors adapt to the histogram’s own momentum curve.
Both modes automatically adjust alerts, extremes, and icons.
3. Enhanced Squeeze Logic
The script includes the classic squeeze states (ON / OFF / Neutral) with clean visual dots and improved logic for precise state transitions.
4. Adaptive Extreme Detection (Upper & Lower Extremes)
Detects when price or momentum sets new highs/lows according to the active mode.
Automatically draws 🔥 fire labels near upper extremes and ❄️ ice labels near lower extremes, with:
Adaptive or fixed offsets
Customizable sizes
Optional dimming on momentum fade
Icon colors matching the histogram
5. Full Alert Suite
Includes alerts for:
New Upper / Lower Extremes
Heat-Zone Crossings (25%, 50%, 75%)
Momentum Turning Up / Down
Zero-Line Crossovers
Squeeze ON / OFF
All alert conditions adapt dynamically to the mode selected.
6. Clean, modern, and fully customizable
Every visual element—colors, transparency, icon sizing, offsets, squeeze dots, fades—can be adjusted from the settings panel.
What This Indicator Helps You See
Momentum acceleration and deceleration
Market compression/expansion phases
Heat levels in the current price context
Momentum extremes that often signal turning points
Trend continuation or exhaustion patterns
High-precision squeeze entries with visual clarity
Designed For
Traders looking for a more intelligent version of Squeeze Momentum with:
Better visual clarity
Stronger adaptive behavior
More actionable alerts
More information per bar without clutter
A special thanks to LazyBear, the original author of the Squeeze Momentum engine.
This script is not affiliated with or endorsed by him, but it extends his outstanding contribution to the TradingView community.
CEF (Chaos Theory Regime Oscillator)Chaos Theory Regime Oscillator
This script is open to the community.
What is it?
The CEF (Chaos Entropy Fusion) Oscillator is a next-generation "Regime Analysis" tool designed to replace traditional, static momentum indicators like RSI or MACD. Unlike standard oscillators that only look at price changes, CEF analyzes the "character" of the market using concepts from Chaos Theory and Information Theory.
It combines advanced mathematical engines (Hurst Exponent, Entropy, VHF) to determine whether a price movement is a real trend or just random noise. It uses a novel "Adaptive Normalization" technique to solve scaling problems common in advanced indicators, ensuring the oscillator remains sensitive yet stable across all assets (Crypto, Forex, Stocks).
What It Promises:
Intelligent Filtering: Filters out false signals in sideways (volatile) markets using the Hurst Base to measure trend continuity.
Dynamic Adaptation: Automatically adapts to volatility. Thanks to trend memory, it doesn't get stuck at the top during uptrends or at the bottom during downtrends.
No Repainting: All signals are confirmed at the close of the bar. They don't repaint or disappear.
What It Doesn't Promise:
Magic Wand: It's a powerful analytical tool, not a crystal ball. It determines the regime, but risk management is up to the investor.
Late-Free Holy Grail: It deliberately uses advanced correction algorithms (WMA/SMA) to provide stability and filter out noise. Speed is sacrificed for accuracy.
Which Concepts Are Used for Which Purpose?
CEF is built on proven mathematical concepts while creating a unique "Fusion" mechanism. These are not used in their standard forms, but are remixed to create a consensus engine:
Hurst Exponent: Used to measure the "memory" of the time series. Tells the oscillator whether there is a probability of the trend continuing or reversing to the mean.
Vertical Horizontal Filter (VHF): Determines whether the market is in a trend phase or a congestion phase.
Shannon Entropy: Measures the "irregularity" or "unpredictability" of market data to adjust signal sensitivity.
Adaptive Normalization (Key Innovation): Instead of fixed limits, the oscillator dynamically scales itself based on recent historical performance, solving the "flat line" problem seen in other advanced scripts.
Original Methodology and Community Contribution
This algorithm is a custom synthesis of public domain mathematical theories. The author's unique contribution lies in the "Adaptive Normalization Logic" and the custom weighting of Chaos components to filter momentum.
Why Public Domain? Standard indicators (RSI, MACD) were developed for the markets of the 1970s. Modern markets require modern mathematics. This script is presented to the community to demonstrate how Regime Analysis can improve trading decisions compared to static tools.
What Problems Does It Solve?
Problem 1: The "Stagnant Market" Trap
CEF Solution: While the RSI gives false signals in a sideways market, CEF's Hurst/VHF filter suppresses the signal, essentially making the histogram "off" (or weak) during noise.
Problem 2: The "Overbought" Fallacy
CEF Solution: In a strong trend (Pump/Dump), traditional oscillators get stuck at 100 or 0. CEF uses "Trend Memory" to understand that an overbought price is not a reversal signal but a sign of trend strength, and keeps the signal green/red instead of reversing it prematurely. Problem 3: Visual Confusion
CEF Solution: Instead of multiple lines, it presents a single, color-coded histogram featuring only prominent "Smart Circles" at high-probability reversal points.
Automation Ready: Custom Alerts
CEF is designed for both manual trading and automation.
Smart Buy/Sell Circles: Visual signals that only appear when trend filters are aligned with momentum reversals.
Deviation Labels: Automatically detects and labels structural divergences between price and entropy.
Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always practice appropriate risk management.
