Crypto PCA [LuxAlgo]The Crypto PCA indicator provides a sophisticated, multi-asset sentiment gauge by applying Principal Component Analysis (PCA) to a basket of the top 20 cryptocurrencies.
By extracting the primary driver of variance across these assets, the tool offers a "market-wide" oscillator that filters out individual coin noise to highlight the dominant trend and sentiment shifts in the crypto space.
In modern quantitative finance, PCA is used to reduce dimensionality and identify the underlying factors that move a group of assets. This indicator brings that institutional-grade approach to the retail trader, condensing the price action of Bitcoin, Ethereum, Solana, and 17 other majors into a single, actionable signal.
🔶 USAGE
The script serves as a macro-sentiment oscillator, allowing traders to see the "hidden" force driving the crypto market. It is designed to identify when the market is moving in unison and when that collective movement has reached an extreme.
🔹 Identifying Market Regimes
The primary use of the PCA line (PC1) is to determine the current market regime. When the oscillator is above the zero line and colored green, it indicates that the majority of the top 20 assets are experiencing positive variance, signaling a broad bullish regime. Conversely, when the line is below zero and colored red, the market is in a collective bearish state. Traders can use this to align their individual trades with the direction of the total market energy.
🔹 Using Snapshot Mode for Situational Analysis
While the continuous mode is ideal for long-term trend following, the Snapshot Mode provides a focused view of market dynamics over the most recent lookback window. This mode isolates the current sentiment cycle, allowing traders to see the specific trajectory and "shape" of the latest move without the influence of older historical data.
By enabling Snapshot Mode, you can analyze the immediate internal structure of the market. It is particularly useful for identifying whether a recent pump or dump is a coordinated market-wide event or a more fragmented move. This helps in distinguishing between a broad structural shift and a temporary volatility spike.
🔹 Spotting Overextended Sentiment
The indicator includes dashed horizontal lines at +2 and -2, representing standard deviation thresholds. Because the assets are standardized before calculation, these levels mark statistical extremes.
Overbought Extremes: When the PCA line exceeds +2, the broad market is significantly overextended to the upside. This often precedes a cooling-off period or a mean-reversion event across the entire sector.
Oversold Extremes: When the PCA line drops below -2, it suggests a "panic" or exhausted selling state across the basket. This can signal potential bottoming interest or a relief rally.
🔹 Gauging Relative Strength
The faint "ghost" lines in the background represent the individual standardized price paths of the 20 included assets. By comparing these to the main PCA line, traders can identify leaders and laggards. An asset line that stays consistently above the PCA line during a rally is exhibiting relative strength, while an asset trailing below the PCA line is underperforming the market average.
🔶 DETAILS
The indicator follows a rigorous mathematical pipeline to ensure the data is statistically significant and comparable across assets with different price scales.
🔹 Standardization (Z-Scores)
Before performing PCA, every asset must be on the same scale. The script converts the price of all 20 assets into Z-scores based on the user-defined Lookback Period. A Z-score tells us how many standard deviations a price is from its mean. This allows the movement of a high-priced asset like BTC to be mathematically compared to a lower-priced asset like PEPE.
🔹 The Basket & PCA Approximation
The indicator includes the following assets: BTC, ETH, BNB, XRP, SOL, TRX, DOGE, ADA, BCH, WBTC, XLM, LTC, HBAR, LINK, AVAX, PEPE, DOT, UNI, NEAR, and ICP.
The script uses a correlation-based approximation to find the First Principal Component. It calculates the correlation of each asset to the equally weighted basket and uses these correlations as "loadings" to compute the PC1. This ensures that assets moving in sync with the general market trend are given higher priority in the final oscillator value.
🔹 Why PCA?
Most "Crypto Indices" are simply weighted averages. PCA is superior because it identifies the commonality between assets. If 18 coins are moving up and 2 are moving down, PCA gives more weight to the 18 moving together, as they represent the "Principal Component" of the market's current energy.
🔶 SETTINGS
🔹 Main Settings
Lookback Period (N): Determines the window used for Z-score standardization and PCA calculation. A shorter period makes the indicator more reactive, while a longer period identifies macro-cycle shifts.
Z-Score Smoothing: Applies a Simple Moving Average (SMA) to the standardized asset values before the PCA calculation. This effectively filters out high-frequency noise and produces a smoother principal component line, which is useful for reducing false regime shifts in volatile markets.
Enable Snapshot Mode: Switches the visual output from a continuous rolling line to a static view of the PCA over the most recent lookback window.
🔹 Visual Settings
Standardized Assets Color: Controls the color and transparency of the 20 individual asset lines.
Bull/Bear Colors: Defines the colors used for positive and negative market sentiment.
Disclaimer: This indicator is a statistical tool for sentiment analysis and does not constitute financial advice. The PCA approach measures variance and correlation, not guaranteed future direction.
מחזורים
Central Bank Liquidity Gap IndicatorThis indicator measures the gap between global liquidity growth and stock market growth to identify potential buying opportunities.
Liquidity drives markets. When central banks print money, that liquidity eventually flows into stocks and other assets. If we spot when liquidity growth is outpacing market growth, we can spot moments when the market is "due" to catch up.
I like this quote:
Earnings don't move the overall market; it's the Federal Reserve Board... focus on the central banks and focus on the movement of liquidity."
- Stanley Druckenmiller
How Central Bank Liquidity Gap Indicator Works
The indicator calculates a simple divergence:
Divergence = Liquidity Growth % − S&P 500 Growth %
Green bars = Liquidity is growing faster than the market (bullish)
Red bars = Market is growing faster than liquidity (less bullish)
Multi-Country M2 Money Supply
Unlike basic M2 indicators, this one lets you combine money supply data from multiple economies, including US, UK, Canada, China, Eurozone, Switzerland and Japan.
Each country's M2 is automatically weighted by its actual size (converted to USD). Larger economies have more influence on the global liquidity picture.
I've added a discount for China. China's M2 weight is reduced by 50% to account for capital controls that limit how much Chinese liquidity flows into global markets and into the US market.
Fed Net Liquidity
You can also blend in Fed Net Liquidity for a more precise US liquidity measure:
Net Liquidity = Fed Balance Sheet − Treasury General Account − Reverse Repo
This captures the actual liquidity the Fed has injected into financial markets, not just the broad money supply.
How To Read It
The Buy Zone (5%+ Divergence)
When the divergence exceeds +5%, the indicator enters the "Buy Zone" (highlighted with green background). This means liquidity is significantly outpacing market growth — historically a good buy signal.
The Support Table
The info table shows:
Component weights: How much each country's M2 contributes
Corr w/ SPX: Current correlation between liquidity and SPX (are they moving together?)
Leads SPX by X: Does past liquidity predict future SPX moves? (higher = more predictive)
Divergence %: Current divergence value
Signal
Correlation Stats
Corr w/ SPX: Measures if liquidity and SPX are moving in sync right now
Leads SPX: Measures if liquidity changes predict future SPX moves. A positive value here suggests liquidity is a leading indicator.
Potential Use Cases
Long-term investing: Wait for 5%+ divergence (buy zone) to accumulate index funds, ETFs, or stocks
Leveraged ETFs: Use buy zone signals to time entries into UPRO, TQQQ, SSO (higher risk, higher reward)
Crypto: Bitcoin and crypto markets also correlate with global liquidity — use this for BTC accumulation timing
Risk management: Avoid adding positions when divergence is deeply negative
Important Notes
This is a long-term indicator and not for daytrading. It works best used on Daily/Weekly timeframes
It identifies accumulation zones and not precise bottoms
Truly yours, Henrique Centieiro
Inspired by the relationship between M2 money supply and market performance, enhanced with multi-country liquidity tracking and Fed balance sheet analysis.
Let me know if you have questions/suggestions.
AOC Pro - Elite Audited Suite (V6.6)this is one of best indicator for indan market based on option chain volume support and resistance for best result one can follow
MOM RESTEST SIGNAL BY REGENTThis combined indicator merges Trend Identification (Ribbon) with Price Action Signals (Retests) to create a complete trading system.
Prime Minute MarkerPrime Minute Marker – Description
This script marks specific prime-numbered minutes directly on the chart using clean, plain text (no boxes or shapes).
It is designed for time-based market observation, helping traders spot recurring reactions, swings, and behavioral patterns that tend to appear at specific minutes within the hour.
The marker:
Displays only selected prime minutes
Uses simple text labels for a clutter-free chart
Does not interfere with price action
Works on any intraday timeframe
Is especially useful for swing points, liquidity reactions, and auction-based analysis
This tool is meant for observation and confluence, not as a standalone trading signal.
SMC Structure + HTF Levels + VolatilityDescription: This script is a comprehensive "Smart Money Concepts" (SMC) toolkit designed to filter out market noise and focus only on the Major Market Structure. It combines structural analysis, multi-timeframe key levels, and volatility tracking into a single chart overlay.
Unlike standard fractal indicators that clutter the chart with every minor pivot, this script uses a "Retroactive" logic system to only mark significant Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH) that confirm a trend break.
Key Features
1. Major Structure Mapping (Retroactive Logic)
The Problem: Standard indicators often mark a "Lower High" too early, only for price to continue higher.
The Solution: This script waits for a Major Low to be broken (confirmed break of structure) before identifying the peak that caused it. It then "looks back" and retroactively labels that peak as the valid Lower High (LH).
Result: You get a clean chart that shows only the true structural legs of the trend, filtering out internal sub-swings and fake-outs.
2. Multi-Timeframe (MTF) Steplines
Automatically plots the previous highs and lows from higher timeframes:
PDH / PDL: Previous Day High & Low (Blue)
PWH / PWL: Previous Week High & Low (Orange)
PMH / PML: Previous Month High & Low (Purple)
These act as major magnet levels for price targets or reversal zones.
3. Volatility Regimes (Expansion vs. Consolidation)
Uses Bollinger Band Width to analyze market energy.
Green Background (Expansion): Volatility is above average. The market is moving fast (breakout or trend).
Gray Background (Consolidation): Volatility is below average. The market is squeezing, indicating a potential big move is building up.
How to Use It
Trend Following: Look for price to form a HL (Higher Low) in an uptrend. Wait for the background to turn Gray (Consolidation), then enter when it turns Green (Expansion) as price breaks upward.
Reversals: Watch for price to hit a PWH (Previous Week High). If a LH (Lower High) label appears shortly after, it confirms the reversal is valid.
Stop Placement: Use the most recent HL or LH labels as safe zones for stop-loss placement, as these represent protected structural points.
Settings
Swing Length: Adjusts how sensitive the structure detection is (Default: 5). Increase this number to see even longer-term structure.
Colors: Fully customizable colors for Bullish/Bearish structure, HTF lines, and Volatility zones.
Show/Hide: You can toggle off any element (like the Monthly levels or Volatility background) to keep your chart clean.
Predator UAV🛩️ Predator UAV — Indicator Overview
Predator UAV is a multi-module market structure & execution assistant.
Think of it as 4 sensors on a drone, each scanning a different layer of price:
Module What it Sees Why it Matters
Module 1 Swing Structure (ZigZag) Trend direction & key levels
Module 2 FVGs, Imbalances, Targets, D/W/M levels Liquidity & objectives
Module 3 Swing Labels + Candle Patterns Entry timing & confirmation
Module 4 VWAP + Slope Dashboard Intraday bias & strength
You can turn any module ON/OFF independently.
🧩 MODULE 1 — ZigZag Swing High / Low (Market Structure)
What it does
Detects Swing Highs (HH / LH) and Swing Lows (HL / LL)
Draws:
Horizontal structure levels
ZigZag connections
Broken vs respected levels
Shows current swing direction in a mini table
How to use it
Bullish structure → higher lows forming
Bearish structure → lower highs forming
Best used for:
Bias filtering
Stop placement
Avoiding counter-trend trades
💡 Pro tip:
If price breaks a swing level and holds → structure shift confirmed.
🧱 MODULE 2 — FVGs, Imbalances, Targets & HTF Levels (Liquidity Engine)
This is the core execution intelligence.
A️⃣ Fair Value Gaps (FVGs)
Bullish FVG → price inefficiency below price
Bearish FVG → inefficiency above price
Options:
Extend none / limited / default
Limit number on chart
Show midpoint equilibrium
Usage
Price returning into FVG = high-probability reaction zone
Best entries = FVG + structure + VWAP bias
B️⃣ Imbalances
Based on strong displacement candles
Shows where price moved too fast
Usage
Often aligns with:
Breakouts
Stop runs
Momentum continuation
C️⃣ Swing Targets
Automatically marks next logical target
Swing Highs for longs
Swing Lows for shorts
Usage
Use as:
Take-profit zones
Partial exits
Trail stop reference
D️⃣ Previous Day / Week / Month Highs & Lows
Institutional liquidity magnets
Extremely effective on indices & forex
Usage
Expect:
Rejections
Stop hunts
Reversals near these levels
🔍 MODULE 3 — Swing Labels + Candle Patterns (Entry Timing)
This module answers: WHEN to enter?
Swing Labels
HH / HL / LH / LL printed directly on chart
Candle Patterns Detected
Hammer
Inverted Hammer
Bullish Engulfing
Bearish Engulfing
Hanging Man
Shooting Star
Each label includes:
Pattern name
Tooltip explanation (educational)
Usage
Never trade patterns alone
Best when combined with:
FVG
VWAP
Structure level
📐 MODULE 4 — VWAP with Slope Dashboard (Bias & Strength)
This is your intraday compass.
What it shows
Session VWAP
VWAP slope (numeric + angle)
Direction:
↗ Bullish
↘ Bearish
→ Neutral
Strength:
Weak
Moderate
Strong
How to read it
Above VWAP + positive slope → long bias
Below VWAP + negative slope → short bias
Flat slope → scalp only or wait
💡 Pro tip:
Strong VWAP slope + FVG pullback = A-grade setup.
🎯 COMPLETE TRADING TUTORIAL (Step-by-Step)
Step 1 — Determine Bias
Use Module 1 + Module 4
Structure bullish?
VWAP slope bullish?
✅ If aligned → look for longs
❌ If mixed → reduce size or wait
Step 2 — Identify POI (Point of Interest)
Use Module 2
Bullish:
Bullish FVG
Prior swing low
VWAP pullback
Bearish:
Bearish FVG
Prior swing high
VWAP rejection
Step 3 — Wait for Entry Confirmation
Use Module 3
Look for:
Engulfing
Hammer / Shooting star
Swing HL / LH confirmation
Step 4 — Define Targets
Use Next Target
Or Previous Day / Week Highs
Partial TP near first liquidity pool
Step 5 — Risk Management
SL beyond:
FVG boundary
Swing high/low
Trail using:
VWAP
Structure breaks
🧠 Best Timeframes
Purpose TF
Bias 15m / 30m
Setup 5m
Entry 1m–3m
Scalping VWAP + FVG only
⚠️ Common Mistakes to Avoid
❌ Trading every FVG
❌ Ignoring VWAP slope
❌ Counter-trend without confirmation
❌ Overloading chart (turn unused modules off)
🚀 Final Thought
Predator UAV is not a signal generator.
It’s a decision-support system — when multiple modules align, probability shifts in your favor.
XAUUSD Clean Sell Model🧠 What This Indicator Actually Is
This is a Smart Money–based directional model for XAUUSD, designed to:
Define where NOT to buy
Identify high-probability sell locations
Keep the chart clean and decision-focused
Trade structure → level → confirmation, not indicators
It is NOT a signal spam tool.
It’s a bias + confirmation framework.
1️⃣ Key Levels (Foundation of the Model)
🔴 Sell Level — 4930
This is the decision line
Below this level → sell-side bias only
Above this level → no trades / wait
👉 The indicator never sells blindly at 4930
It waits for structure confirmation
That’s why you see sells only after price breaks structure
🟠 Resistance — 5600
Macro invalidation level
If price accepts above 5600, the whole sell idea is wrong
This protects you from fighting strong trends
Smart money rule:
Bias must be invalidatable
🟢 Support Zone — 4350 → 4300
This green zone is NOT for buying aggressively.
It represents:
Higher-timeframe demand
Profit-taking area for shorts
Where sell pressure historically weakens
That’s why all sell labels target this zone.
2️⃣ Break of Structure (BOS) — The Core Trigger
What BOS Means Here
A Bearish BOS occurs when:
Price closes below a previous swing low
This confirms trend weakness
Smart money has likely distributed longs
In your chart:
BOS appears after the top
Not during consolidation
Not randomly
That’s intentional.
📌 No BOS = No trade
Why You See Fewer BOS Labels
Earlier versions were noisy.
This one shows only meaningful structure breaks.
That’s how professionals trade:
One break → one decision
3️⃣ Fair Value Gap (FVG) — Entry Refinement
What the FVG Represents
An FVG forms when:
Price moves too fast
Leaves an inefficiency
Institutions often retrace into it
In this model:
Only bearish FVGs are used
Only after BOS
Only near the sell zone
So you’re not chasing price.
You’re waiting for premium re-entry.
How to Use It
BOS happens → confirms sell bias
Price retraces into FVG
Entry near sell level (4930)
Target support zone
This is precision, not prediction.
4️⃣ Sell Labels — Why They Appear Where They Do
A SELL label appears ONLY when all conditions align:
✔ Price below 4930
✔ Bearish BOS confirmed
✔ Market shows rejection / imbalance
That’s why:
You don’t see sells everywhere
You don’t see sells in ranges
You don’t see sells near support
Each sell is a complete idea, not a suggestion.
5️⃣ Why This Indicator Looks “Quiet”
That’s a feature, not a problem.
Most traders lose because:
Too many signals
Too many indicators
No clear bias
This model answers only 3 questions:
Where is price relative to key levels?
Has structure confirmed my bias?
Where is my logical target?
If those aren’t aligned → do nothing
6️⃣ How a Professional Would Trade This
Higher Timeframe (H1 / H4)
Use indicator to define bias
Mark BOS + FVG
Plan the trade
Lower Timeframe (M5 / M15)
Enter on:
Rejection
Weak highs
Liquidity sweep into FVG
Stop above structure
Target 4350 → 4300
7️⃣ What This Indicator Is NOT
❌ Not a buy/sell robot
❌ Not a scalping tool
❌ Not meant to be traded every day
❌ Not for emotional trading
It’s a framework, not a crutch.
🧠 Final Mentor Take
This indicator teaches you:
Patience
Structure awareness
Risk discipline
Directional clarity
If you trade it correctly:
You’ll trade less — and make more.
Cyberpunk Neural Flux■ Core Concept: The "Cyberpunk Neural Flux" is engineered based on the "Trend Template" logic favored by institutional growth investors and hedge funds.
It monitors the interaction between the 150 MA (The Institutional Baseline) and the 15 MA (High-Frequency Momentum). Large players often use the 150 MA as the "line in the sand" for a healthy trend. This indicator visualizes when short-term momentum aligns with this critical institutional baseline, while the "Noise Gate" filters out choppy price action that traps retail traders.
■ Visual Decoding (Candle Colors)
1. ⚪ WHITE (Reversal BUY)
・Context: Downtrend (Magenta Background).
・Trigger: Price breaks ABOVE the Upper Gate (Fast MA + ATR).
・Meaning: Strong momentum has overcome the downtrend resistance.
2. 🟡 GOLD (Reversal SELL)
・Context: Uptrend (Cyan Background).
・Trigger: Price breaks BELOW the Lower Gate (Fast MA - ATR).
・Meaning: Support has collapsed with strong momentum.
3. 🌑 GRAY (Neutral / Noise)
・Trigger: Price is trapped inside the "Noise Gate" (between Upper & Lower bands).
・Meaning: DO NOT TRADE. The market is indecisive or consolidating.
4. 🟦 CYAN / 🟪 MAGENTA (Trend Follow)
・Meaning: Trend is healthy and continuing outside the noise gate.
■ コンセプト: 「Cyberpunk Neural Flux」は、ヘッジファンドや機関投資家が重視する「トレンド・テンプレート」のロジックに基づいて設計されています。
彼らが「中期トレンドの生命線」として防衛する 150MA（ベースライン）と、短期アルゴリズムが反応する 15MA（モメンタム）の相互作用を監視します。大口投資家が意識するトレンド方向と、短期的な勢いが合致した瞬間のみを可視化し、「ノイズゲート」機能によって個人投資家が狩られやすいレンジ相場を徹底的に排除します。
■ 色の読み方（ローソク足）
1. ⚪ WHITE / 白（反転 - 買い）
・状況: 背景がマゼンタ（下落中）。
・条件: 価格が「15MA ＋ ノイズ幅」を上抜いた。
・意味: 単なるMAタッチではなく、明確な反発エネルギーが確認された状態。
2. 🟡 GOLD / 金（反転 - 売り）
・状況: 背景がシアン（上昇中）。
・条件: 価格が「15MA － ノイズ幅」を下抜いた。
・意味: 単なる押し目ではなく、サポートラインが明確に決壊した状態。
3. 🌑 GRAY / グレー（ノイズ - 待機）
・条件: 価格がゲートの内側（15MA付近）で推移している。
・意味: 「手出し無用」。方向感がなく、エネルギーを溜めている状態です。
4. 🟦 シアン / 🟪 マゼンタ（順張り）
・意味: トレンドが健全に継続中。
Accordion Index (Swing-Based) Structural Market Regime AnalysisThe Accordion Index is a multi-dimensional market structure indicator designed to diagnose regime formation, expansion, compression, and transition phases across financial markets. Rather than generating isolated buy/sell signals, it provides contextual insight into how price, structure, and participation interact over time.
The indicator is based on a swing-based, multi-leg framework, which reflects how markets naturally alternate between expansion, correction, re-expansion, and resolution phases. These repeating swing sequences form the foundation of both classical cycle analysis and Elliott Wave structures.
By quantifying the internal quality of these swing structures, the Accordion Index evaluates whether price movements are structurally aligned, directionally efficient, and institutionally supported.
Core Components
The indicator consists of three complementary components:
1) Accordion Correlation (Blue Line) Structural Alignment
Measures the degree of synchronization between short-term swing behavior and the dominant higher-timeframe regime.
Rising values indicate increasing structural coherence.
Declining values reflect regime decay and fractal misalignment.
This component highlights whether market movements are organized within a broader cycle structure or fragmented across timeframes.
2) Efficiency (Green Line) Directional Progress
Measures how much net directional displacement price achieves relative to its internal movement.
Rising values indicate clean, trend-supportive movement.
Falling values reflect consolidation, churn, or distribution.
This component distinguishes productive trends from sideways or internally conflicted phases.
3) Average Swing Speed (Red Line) Participation and Energy
Measures the velocity and urgency of swing movements.
Rising values indicate strong institutional and speculative engagement.
Declining values suggest fading participation or exhaustion.
This component reflects whether major capital is actively sponsoring price movement.
Regime Thresholds
Two reference levels provide structural context:
Directional Regime (+0.5, Blue Dashed Line)
Identifies mature directional regimes with strong structural coherence, typically associated with sustained trend phases.
Strong Accordion (–0.5, Purple Dashed Line)
Marks extreme structural dislocation, often occurring during crisis periods, panic phases, or major regime breakdowns.
Interpreting the Accordion Index
The indicator should be interpreted as a regime and structure filter rather than a standalone signal generator.
Typical configurations include:
Rising correlation, rising efficiency, rising speed
=Trend expansion and regime confirmation
Rising correlation, falling efficiency, elevated speed
=Compression and accumulation/distribution
Falling correlation and efficiency with unstable speed
=Regime decay and transition
Simultaneous recovery in correlation and efficiency
=Structural re-synchronization and trend re-emergence
These configurations allow traders to assess whether markets are trending, consolidating, transitioning, or reorganizing internally.
Market-Agnostic and Fractal Design
The Accordion Index is market-agnostic and fractal in nature. It can be applied to:
FX, commodities, indices, equities, and crypto
Intraday, swing, and long-term timeframes
The underlying swing structure exists in all sufficiently liquid markets. Differences in behavior are reflected through changes in structural coherence, efficiency, and participation rather than through pattern distortion.
The indicator therefore adapts naturally to different asset classes and volatility regimes.
Integration with Cycle and Wave Analysis
The Accordion Index is designed to complement, not replace, existing analytical frameworks.
Cycle Analysis
It can be used to validate cycle phases by confirming whether internal structure supports expansion, compression, or transition scenarios.
Elliott Wave Analysis
The indicator aligns naturally with Elliott Wave principles by evaluating the quality of impulsive and corrective phases:
Impulsive waves typically show rising correlation, efficiency, and speed.
Corrective waves tend to display falling efficiency and structural fragmentation.
Wave extensions and failures are often preceded by changes in internal alignment.
This makes the Accordion Index a valuable supplemental tool for confirming wave counts and identifying regime exhaustion or re-synchronization.
Practical Usage
The Accordion Index functions best as a contextual filter:
High structural alignment = trust trend structure
Low efficiency = expect consolidation
Low participation = avoid forcing trades
Trades and projections should be executed in alignment with prevailing structural conditions rather than isolated price patterns.
Disclaimer
This indicator is intended for educational and analytical purposes. It does not constitute financial advice. All trading decisions remain the responsibility of the user.
Closing Note
The Accordion Index is designed to visualize how markets organize, exhaust, compress, and re-synchronize over time. By integrating structural alignment, directional efficiency, and participation dynamics, it provides a unified framework for understanding market regimes across asset classes and timeframes.
Arpoom//@version=5
indicator("Volume & Body Spike Multiplier", overlay=true)
// 1. คำนวณค่าเฉลี่ย 20 แท่ง
avgVol = ta.sma(volume, 20)
currentBody = math.abs(close - open) // ใช้ math.abs เพื่อให้ค่าเป็นบวกเสมอ
avgBody = ta.sma(currentBody, 20)
// 2. คำนวณ Multipliers
volMultiplier = volume / avgVol
bodyMultiplier = currentBody / avgBody
// 3. กำหนดเงื่อนไข
// วอลุ่มมากกว่า 2 เท่า และ เนื้อเทียนยาวกว่าค่าเฉลี่ยเนื้อเทียน 20 แท่ง
volCondition = volume > (avgVol * 2)
bodyCondition = currentBody > avgBody
longCondition = volCondition and bodyCondition and close > open
shortCondition = volCondition and bodyCondition and close <= open
// 4. วาดลูกศร
plotshape(longCondition, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Long Body Spike")
plotshape(shortCondition, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Short Body Spike")
// 5. แสดงตัวเลขบน Label (V = Volume x, B = Body x)
if longCondition
label.new(bar_index, low, str.format("V: {0,number,#.#}x B: {1,number,#.#}x", volMultiplier, bodyMultiplier), yloc=yloc.belowbar, color=color.new(color.green, 20), textcolor=color.white, style=label.style_label_up, size=size.small)
if shortCondition
label.new(bar_index, high, str.format("V: {0,number,#.#}x B: {1,number,#.#}x", volMultiplier, bodyMultiplier), yloc=yloc.abovebar, color=color.new(color.red, 20), textcolor=color.white, style=label.style_label_down, size=size.small)
// 6. ระบบแจ้งเตือน (Alerts)
alertcondition(longCondition, title="Buy Spike (Vol & Body)", message="Body Spike Up! Vol: {{plot_0}}x, Body: {{plot_1}}x")
alertcondition(shortCondition, title="Sell Spike (Vol & Body)", message="Body Spike Down! Vol: {{plot_0}}x, Body: {{plot_1}}x")
// ส่งค่าออกเพื่อให้ Alert ดึงไปใช้
plot(volMultiplier, "Vol Mult", display=display.none)
plot(bodyMultiplier, "Body Mult", display=display.none)
TradeChillOut Perfect Zen v2Quick Reference Guide for TradeChillOut Perfect ZEN Indicator
📊 Indicator Features:
Core Components:
Tao (Blue) - Long-term trend (144 period)
Yang (Red) - Momentum (21 period)
Qi (Green) - Energy flow (8 period)
Yin (Yellow) - Support/resistance (8 period)
Multi-Timeframe Analysis:
10 timeframes from 1-minute to Daily
Real-time Zen strength calculations
Comparative timeframe alignment
Signal System (40 Patterns):
ZEN Column (1-10) - Core reversal signals
SUI Column (11-20) - Momentum signals
FLOW Column (21-30) - Trend flow signals
ZENITH Column (31-40) - Extreme condition signals
🎯 Dashboard Layout:
Top Tables:
Left Table - Zen values per timeframe
Right Dashboard - Active signal icons (4 columns)
Bottom Matrices:
Bottom-Right - 1-minute multi-TF matrix
Bottom-Left - 5-minute multi-TF matrix
Middle-Right Panel:
Active signal combinations (18 patterns)
Telegram community link
Real-time status indicators
⚡ Quick Start:
Best Settings:
Default parameters optimized for most markets
Adjust Tao/Yang for different volatility
Use 4H/Daily for trend confirmation
Key Signals to Watch:
Bullish: 🐂+☁️ (S1+S6), 🚀+🎶 (S3+S24)
Bearish: 💀+🔻 (S4+S8), 🐻+🌋 (S12+S36)
Reversal: 🌪️+⚠️ (S5+S28), 🪗+🌱 (S18+S19)
Trading Rules:
Confirm with multiple timeframes
Wait for Zen strength > 7
Check SUI/YIN pressure ratio
Use 1M/5M alignment for entries
MT Trading Smart MoneyMT Trading 'Smart Money'
MT Trading SM is a market analysis tool based on Smart Money Concepts, designed to identify market context, probable price scenarios, and a structured trading plan — without generating direct buy or sell signals.
The indicator does not try to predict exact price movements or force entries.
Its purpose is to guide the trader’s decision-making process by clarifying what the market is most likely to do next and under which conditions a trade makes sense.
🔹 What the indicator does
Determines swing market context (bullish / bearish / neutral)
Analyzes market structure (BOS / CHoCH)
Tracks relevant swing order blocks
Evaluates whether price is within Smart Money areas of interest
Provides contextual trade planning, not signals
🧠 Bias / Scenario / Plan Dashboard
Instead of entry signals, the indicator displays an analytical dashboard:
Bias — probable market direction
Scenario — what price is likely to do next
Plan — how the trader should react
Example:
Bias: BEARISH ↓
Scenario: Pullback expected
Plan: Wait for price to return to premium zone and confirm structure
⚠️ Important Notes
No take-profit or risk-reward calculations
No forced entries without structure confirmation
Designed for discipline and patience, not impulsive trading
Best used alongside price action and proper risk management
🎯 Who this tool is for
Traders using Smart Money Concepts
Those who want clarity over prediction
Traders focused on structure and zones, not indicators
Traders who value planning over frequency
🧠 Core Philosophy
Not trading is also a valid decision.
This tool helps identify when the market offers no real advantage and prevents unnecessary trades.
KI Power signaleManus Machiene Learning Beast – Indicator Description
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
⸻
Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
⸻
Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
⸻
Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
⸻
Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
⸻
Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
⸻
Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
SMT Quarter theory - AMDX cycles and killzones.This indicator visualizes the Quarterly Theory (SMT / Smart Money Theory) concept anchored to New York time. The main daily cycle starts at 18:00 NY time and lasts exactly 24 hours — until 18:00 the next day (local NY time, automatically handling daylight saving time transitions).
Each 24-hour SMT day is divided into four 6-hour blocks:
18:00–00:00 (Asia Killzone)
00:00–06:00 (London Open)
06:00–12:00 (NY AM)
12:00–18:00 (NY PM)
Each 6-hour block is further subdivided into four 90-minute micro-cycles.
The indicator draws:
semi-transparent colored rectangles (boxes) for the 6-hour sessions using different colors and corresponding session names
lighter orange boxes for the 90-minute cycles inside each 6-hour block
vertical dashed lines at the boundaries of 6-hour sessions (different colors)
thin dotted lines at the boundaries of 90-minute cycles
a thick vertical line marking the end of the SMT day (next 18:00 NY)
text labels with the main session names placed above the chart
This indicator based on AMDX quarter theory - accumulation, manipulation, distribution, x (distribution or reversal). Use this indicator to improve your price movement understanding!
Этот индикатор предназначен для визуализации концепции Quarterly Theory (SMT / Smart Money Theory) с привязкой к нью-йоркскому времени. Основной цикл дня начинается в 18:00 по Нью-Йорку и длится ровно 24 часа — до 18:00 следующего дня (по местному времени NY, с автоматическим учётом перехода на летнее/зимнее время).
Каждый такой 24-часовой SMT-день делится на четыре 6-часовых блока:
18:00–00:00 (Asia Killzone)
00:00–06:00 (London Open)
06:00–12:00 (NY AM)
12:00–18:00 (NY PM)
Каждый 6-часовой блок, в свою очередь, разделён на четыре 90-минутных микроцикла.
Индикатор рисует:
полупрозрачные цветные прямоугольники (боксы) для 6-часовых сессий с разными цветами и соответствующими названиями
более светлые оранжевые боксы для 90-минутных циклов внутри каждого 6-часового блока
вертикальные пунктирные линии на границах 6-часовых сессий (разные цвета)
тонкие точечные линии на границах 90-минутных циклов
вертикальную жирную линию на конец SMT-дня (следующие 18:00 NY)
текстовые метки с названиями основных сессий над графиком
XAMD - cycles shows a table of active amd phases saves the trouble of having to look through htfs and you just see a table of them all
Manus KI TradingManus Machiene Learning Beast – Indicator Description
Settings
Use 1h Chart
Use Regime filter: 0.5
Use ADX 20
Use SMA 200
and be happy...
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
⸻
Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
⸻
Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
⸻
Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
⸻
Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
⸻
Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
⸻
Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
Relative Strength Table (Spring)This indicator helps traders quickly understand the relative strength of different groups and different stocks.
Custom 3-Bar Counter (GMT Reset)Bar counter, adjustable to suit market hours. Text colour and size changeable
Teril ema 20 second candle logicHA EMA20 Close Cross and second Candle OneWick Filter
HA EMA20 Close Cross and second Candle OneWick Filter
HA EMA20 Close Cross and second Candle OneWick Filter
HA EMA20 Close Cross and second Candle OneWick Filter
xxmonk. Absolute FractalDescription:
Concept This indicator is a specialized Fractal Time Engine designed for high-precision scalping and swing trading (specifically optimized for NQ/Nasdaq). Unlike standard Fibonacci time zones that drift or overlap, this script creates a strictly nested "Vibration" structure across three timeframes simultaneously. It treats time as a fractal, where smaller cycles are mathematically "imprisoned" within larger cycles.
How It Works The indicator projects the Fibonacci sequence (1, 3, 5, 8, 13, 21, 34, 55, 89, 144) from a single Master Anchor, but creates a hierarchy of containment:
HTF (Higher Timeframe - Red): The Master Cycle (e.g., Daily). These are the hard walls.
MDL (Middle Timeframe - Orange): Nested strictly between HTF milestones. The count resets to "1" instantly at every HTF line and cannot exist past the next HTF line.
LTF (Lower Timeframe - Yellow): Nested strictly between MDL milestones. The count resets to "1" instantly at every MDL line.
Key Features
Strict "Prisoner" Logic: A lower timeframe cycle is physically terminated the moment it hits a higher timeframe milestone. This prevents clutter and ensures the "1" always aligns with the momentum injection of the larger trend.
The "Rigged" Anchor: The math uses an (n-1) offset, ensuring that Milestone "1" sits exactly on the anchor vertical, removing the visual drift found in standard tools.
Dynamic Visibility Engine: To solve TradingView’s 500-label limit, this script uses a smart buffer that only draws labels currently visible on your screen. This ensures that the critical early counts (1, 3, 5) are never deleted to make room for off-screen history.
Tiered Visuals: Labels are automatically stacked at different percentage heights (15%, 8%, 2%) above price to prevent overlap.
Settings & Customization
Master Anchor: Select the exact start time for the cycle.
Timeframes: Fully customizable periods for HTF, MDL, and LTF layers.
Visuals: Individual control over Color, Line Style (Solid/Dash/Dot), Thickness, and Vertical Height for each tier.
How to Use
Set the Master Start Anchor to a significant high/low or session open.
Look for "Confluence Clusters": Areas where an HTF, MDL, and LTF line all land on the same candle often indicate a high-probability reversal or "Rigged" expansion point.
Use the LTF (Yellow) counts for entry timing (1, 3, 5) inside the larger trend direction defined by the HTF (Red) walls.
Macro Clock Overlap 166/186/208) Anchored (v6)Macro Clock Overlap is a time-based market structure overlay designed to visualize cyclical pressure zones created by the interaction of three independent macro clocks:
166 weeks — Momentum / expansion cycle (anchored to a major weekly RSI peak)
186 weeks — Capitulation / contraction cycle (anchored to a weekly RSI < 30 trough)
208 weeks — Bitcoin halving cycle (protocol-defined supply shock)
Rather than attempting to predict price, this indicator highlights periods of structural instability where multiple cycles overlap — conditions that historically coincide with increased volatility, regime shifts, and non-linear market behavior.
How it works
Each cycle is projected forward and backward from a fixed anchor date.
Around each projected event, a configurable time window (± weeks) is applied.
For every bar, the script computes an Overlap Score (0–3):
0 — No active macro cycles
1 — Single cycle influence
2 — Reinforced cycle overlap (heightened instability)
3 — Rare full convergence (maximum structural stress)
The background shading reflects the current overlap score, and optional vertical lines mark projected cycle events for each clock.
What this indicator is (and isn’t)
✔ A probabilistic timing framework
✔ A way to identify volatility expansion and transition zones
✔ Useful for risk management, position sizing, and expectation setting
✘ Not a price prediction tool
✘ Not a buy/sell signal generator
✘ Not curve-fitted to price action
This tool is best used in conjunction with price structure, trend, and momentum analysis.
Customization
Anchor dates can be adjusted from the settings panel
Cycle lengths and window sizes are fully configurable
Visuals (background shading, vertical lines, table) can be toggled on/off
Designed for weekly charts, but works on any timeframe with macro intent.
Philosophy
Markets are not governed by a single clock.
They evolve through the interaction of multiple rhythms — internal momentum, stress accumulation, and external shocks.
Macro Clock Overlap makes those rhythms visible.
ZigZag with Day Count + Month Shading (Selectable) A clean ZigZag indicator that shows how long each trend lasts.
Each completed ZigZag leg is labeled with:
The number of days the trend lasted
The start and end dates (for example: 10th jan → 25th jan)
You can also:
Shade only the months you care about (each month can be turned on or off)
Add optional vertical lines at the start and end of each trend
Customize label size, colours, and transparency
This indicator is useful for understanding trend duration, timing, and seasonal behaviour at a glance.
