Automated Risk Management HUDDESCRIPTION:
"Amateurs focus on how much they can make. Professionals focus on how much they can lose."
Most traders fail Funding Challenges (FTMO, The 5ers, etc.) not because they lack a strategy, but because of poor Risk Management and psychological loss of control.
Architect's Sentinel Pro is not just a position size calculator. It is a Discipline Enforcement System integrated directly into your chart. It eliminates mental math, prevents contract size errors, and acts as a psychological barrier against revenge trading.
CORE FEATURES:
1. Precision Asset Engine Stop guessing contract sizes. The engine automatically adjusts calculation logic for:
XAUUSD (Gold): Standardized for 100oz contracts.
Forex Majors: Standardized for 100,000 units.
JPY Pairs: Adjusted scaling.
Indices/Crypto: Flexible support.
2. Professional HUD (Heads-Up Display) A non-intrusive dashboard located at the top-right corner. It displays:
Exact Risk ($): precise to 2 decimal places.
Lot Size: Calculated instantly based on your risk parameters.
SL Levels: The exact price levels you need to input into your execution platform.
3. The "Bullet" System (Psychology Control) Gamify your risk. You input your Daily Loss Limit (e.g., $125). The tool calculates how many "Bullets" (Trades) you have left based on your risk per trade.
Green: Safe zone.
Orange: Caution (1 trade left).
RED: Daily Limit Reached -> CEASE TRADING IMMEDIATELY.
4. Hybrid Calculation Modes
Risk Based: You define the Max Risk ($) -> The tool calculates the Max Lot.
Lot Based: You define the Lot Size -> The tool audits the risk. If the calculated risk exceeds your limit, the HUD flashes a "VIOLATION" alert.
5. Flexible Stop Loss Logic
Auto (ATR Dynamic): Uses Average True Range to adapt SL to market volatility.
Fixed Distance: Set a fixed price distance (e.g., $5.00 on Gold).
Manual Level: Enter a specific price level for structural stops.
HOW TO USE:
Configuration: Open Settings. Input your Risk per Trade ($) and Daily Loss Limit ($).
Execution: Look at the HUD.
If BLUE/GREEN: Enter the Lot Size and SL Price shown.
If RED: Do not trade.
Accountability: If you take a loss, open Settings and increment the Losses Today counter. The system will deduct a "Bullet" from your inventory.
"Architects sell Blueprints, not Manual Labor." Let the tool handle the math. You focus on the execution.
Forecasting
Monthly Seasonality AnalyzerThis indicator analyzes historical performance/seasonality of a chosen month, from date of inception to present. Users can choose any calendar month via dropdown menu.
For each historical month selected, it will calculate the monthly percentage gain/loss, range(volatility), and average gain/loss percentage, average range percentage across all recorded years. Positive returns are colored green and negative returns are red. Also, calculates if the selected month was bullish(open>close) or bearish.
When current chart month matches the selected month, it shows the in-progress range as well.
Data is collected from 1930 to present. Results are shown in vertical and horizontal tables. If the vertical table exceeds a 36 years, the script automatically switches to horizontal table to display all the data, with option to change table position.
Overall this tool is valuable for seasonality research, such as Santa Rally, May Go Away and swing trading/ position trading to capture the monthly PO3 range.
Most seasonality indicators show all 12 months at once or use daily bars. This one zooms in deeply on one month only, providing detailed per-year breakdowns, accurate completed-month stats, and a practical live range display.
The script uses arrays to store years, gains, and ranges. Uses table.new(), table.cell(), table.merge_cells() for easily readable result display. Code handles the current in-progress month separately (shows live range without including it in historical averages).
**Script will not run on any timeframe other than monthly and displays error otherwise. Script is best used on spot and not futures.
Murrey Math Pro - OptionsHubMurrey Math Pro — OptionsHub
1. What Murrey Math Lines Are
Murrey Math Lines are a grid of support/resistance levels built by dividing a selected price range into 8 equal parts (0/8…8/8). The indicator complements the grid with “extensions” -1/8, -2/8, +1/8, +2/8, which reflect extreme zones beyond the main range.
The idea is simple:
* the market often moves in “steps” between fixed zones,
* the middle levels provide balance/flat zones,
* the extreme levels are zones of “overbought/oversold” and a high probability of reaction,
* extensions show anomalous moves beyond the frame and often act as a trigger for recalculation (shift) of the grid.
2. What the Indicator Shows on the Chart
The script builds:
a) Base grid (current timeframe)
* levels 0/8…8/8 (and optionally extensions ±1/8, ±2/8)
* the grid is calculated based on the selected “Frame mode” and “Anchor”
b) Optional MTF grid (higher timeframe)
* the same levels, but calculated on the selected higher TF (e.g., D)
* used for “level weight”: a higher-TF level is usually stronger
c) Bounce Stats (reaction statistics)
For each level (optionally: key only or all), statistics are tracked:
* Touches — how many times the level was touched
* Bounce% — percentage of successful “bounces” from the level among completed cases
3. Interpretation of Levels
Key levels
4/8 — the central level (balance)
* Often acts as an “axis”: around 4/8 the market tends to range/rotate.
* If price holds above 4/8, the level often acts as support. Below — as resistance.
0/8 and 8/8 — frame boundaries
* These are the extreme levels of the main grid; they often cause strong reactions.
* When approaching 0/8 or 8/8, the probability of sharp bounces/corrections is higher than at “weak” levels.
* A breakout with acceptance often means a “regime change” and a potential shift/rebuild of the frame (if enabled).
Intermediate levels
1/8 and 7/8 — “strength test” zones
* If price reaches 7/8 but cannot pass — often a pullback to 4/8.
* If it confidently breaks 7/8 and holds — the probability of a move to 8/8 and beyond the frame increases.
(For the downside, this is mirrored: 1/8 is tested during declines.)
2/8 and 6/8 — significant holding levels
* Often give a reaction, especially if confirmed by closes on one side of the level.
* If after a touch/bounce price quickly breaks the level by a close — this signals a weak reaction.
3/8 and 5/8 — working levels inside the range
* Often act as “steps”: the market may chop between them in sideways conditions.
* A break of 5/8 often increases the probability of a move toward 8/8.
* A break of 3/8 — the probability of a move toward 0/8.
Extensions
-1/8 and +1/8
* “Overstretch” zones beyond the frame.
* Often indicate weakening momentum and an increased probability of a return into the range.
-2/8 and +2/8
* Extreme zones.
* Often used as a “boundary after which it makes sense to rebuild the grid,” but not necessarily immediately: confirmations are important (in classical approaches, several consecutive closes are often mentioned).
4. How to Configure the Indicator
Step 1. Choose the “frame” (what to consider the range)
Open the Core & Frame menu:
* If you want a grid “from the actual range” — use:
* Mode = Range/8
* Frame mode = Auto (from data)
* If you want an “octave” grid (more stable ranges, closer to the classic approach) — use:
* Mode = Octave (normalized)
* Frame mode = Auto (from data)
* Octave pick = Nearest (usually the best default)
* If you need a strictly fixed frame size:
* Fixed (manual range) — you set the range manually
* Fixed (manual exponent 2^n) — range = 2^n (octave approach)
Step 2. Define how often HH/LL are recalculated
In the Anchor & Shift menu:
* Anchor = None (lookback)
The grid is recalculated from the last N bars (Lookback). Adapts quickly, but may “drift.”
* Anchor = Daily/Weekly/Monthly
The grid is built within the day/week/month using accumulated High/Low. More “regime-based” and stable.
Step 3. Configure Shift (frame rebuilding)
If shift is enabled, the grid can “move” so that price returns inside the frame (taking padding and confirmation into account).
5. Detailed Description of Menu Parameters
A) 🧩 Profiles
Profile Mode
* Off (Manual) — only manual settings are used.
* Scalp / Swing / Position — predefined parameters are applied for the style.
* Auto — the profile is selected automatically based on the chart timeframe:
* up to 15 minutes → Scalp
* up to 4 hours → Swing
* above → Position
**Important:** manual MTF toggles and their visual parameters take priority.
B) ⚙️ Core & Frame
Mode
* Range/8 — divides the currently selected range into 8 equal parts.
* Octave (normalized) — first normalizes the range to an “octave” size (2^n), then divides it into 8. Usually more stable.
Frame mode
* Auto (from data) — the range is taken from data (HH/LL).
* Fixed (manual range) — you set the range as a number (Fixed range).
* Fixed (manual exponent 2^n) — range = 2^n (Fixed exponent).
Fixed range
Used only with `Fixed (manual range)` — sets the frame size in price units.
Fixed exponent 2^n
Used only with `Fixed (manual exponent 2^n)` — sets n for 2^n.
Octave pic
Used in octave mode to select the nearest “octave”
* Nearest — nearest (universal default)
* Ceil — up (the frame is not smaller than the range)
* Floor — down (the frame is not larger than the selected range)
Base anchor
How to anchor the “lower boundary” of the frame to a multiple of the frame
* Floor / Round / Ceil to the frame multiple.
Min range (ticks)
Ensures a minimum frame size so that on very small prices/tickers there are no “zero” steps and artifacts.
C) 🧷 Anchor & Shift
High/Low Anchor
* None (lookback) — take HH/LL over Lookback.
* Daily / Weekly / Monthly — accumulate HH/LL within the period, reset at the period boundary.
Lookback (bars)
How many bars to consider when Anchor = None.
Anchor Cap (bars)
A limiter so that HH/LL accumulation does not grow infinitely on rare timeframes.
Enable Frame Shift
Enables rebuilding of the base (frame) if price goes beyond the boundaries (taking padding into account) and there is confirmation.
Shift Trigger
* Close — more “strict,” fewer false shifts.
* HL — reacts faster (uses high/low), but shifts more often on spikes.
Shift Padding (%)
Allowance that expands the frame boundaries:
* 0% — shift triggers immediately upon leaving the frame
* greater than 0% — allows price to “slightly exit” without rebuilding
Shift Confirm Bars
How many consecutive closed bars must be beyond the boundary (taking padding into account) before a shift occurs.
* 1 = reacts quickly
* 4+ = closer to the “conservative” classic recalculation
D) 📊 Bounce Stats
Calculate Bounce % for
* Off — statistics are not calculated.
* Key Only (0/4/8) — statistics only for key levels.
* All (0..8) — for all levels.
Touch tolerance (ticks) [/i
How many ticks are allowed for a “level touch.”
Increase if the instrument has many “noisy pierces.”
Touch cooldown (bars)
Anti-chatter: how many bars must pass for a new touch of the level to be counted again.
Show Panel
Shows the statistics table.
Panel Position
Position of the table on the chart.
E) 🖥️ Display
Draw Levels
Which levels to show: all / key only / key + quartile.
Show Extensions
Shows -2/-1/+1/+2.
Show Labels
Enables level labels.
Extend / Segment length
Lines can be extended to the right/left/both sides or drawn as a segment of a specified length.
F) 🧭 MTF (higher timeframe)
Show MTF grid
Displays a second grid calculated on a higher timeframe (e.g., D).
MTF timeframe
Timeframe of the MTF grid.
MTF show …
You can separately enable/disable:
* 0/8 and 8/8 (major)
* 4/8 (mid)
* weak levels 1/8..7/8
* extensions
6) Practical Usage Tips
1. For “classic” levels, start with:
* Octave (normalized) + Auto frame
* Anchor = Weekly (or Daily)
* Shift Trigger = Close
* Shift Confirm = 4 (conservative)
2. For intraday:
* Anchor = None (lookback) with a moderate lookback (e.g., 64–128)
* Shift Confirm = 1–2
* Enable MTF D to see “higher” levels as reference points
GS Quantum Radar [Elite Aesthetic - Bilingual]GS Quantum Radar / GS 量子雷達
Overview / 概述
Inspired by the quantum physics concept of "Ghostly action at a distance," the GS Quantum Radar is a high-end quantitative tool designed to capture the hidden correlations between two entangled assets (e.g., 2330.TW vs. TSM, or NVDA vs. AI sector). It identifies "Quantum Tension"—statistical deviations that signal imminent mean reversion or breakout opportunities.
受量子力學中**「幽靈般的遠距作用」**啟發，GS 量子雷達是一款專為捕捉資產間隱藏關聯而設計的高階量化工具（例如台積電與 TSM ADR，或 NVDA 與 AI 類股）。它能識別「量子張力」——即統計學上的異常偏離，預示著即將到來的均值回歸或突破機會。
Core Logic / 核心邏輯
The indicator operates on Statistical Arbitrage principles using a dynamic Z-Score model:該指標基於統計套利原理，採用動態 Z-Score 模型：
Entanglement Strength (Correlation) / 糾纏強度（相關性）： It measures how synchronized the two assets are. Signals are only valid when the correlation is high, ensuring you aren't trading noise.衡量兩項資產的同步程度。僅在相關性高時訊號才有效，確保您避開市場雜訊。
Quantum Tension (Z-Score) / 量子張力 (Z-Score)： Using the formula $Z = \frac{x - \mu}{\sigma}$, it calculates the price ratio deviation.透過公式 $$Z = \frac{x - \mu}{\sigma}$$
計算價差比率的偏離值。
$Z > +2$ (Red Column / 紅色柱狀): Particle A is overstretched (Overvalued). / 資產 A 擴張過度（相對高估）。
$Z < -2$ (Green Column / 綠色柱狀): Particle A is compressed (Undervalued). / 資產 A 壓縮過度（相對低估）。Shutterstock探索
Key Features / 主要功能
Bilingual Cyberpunk Dashboard / 中英雙語賽博龐克儀表板: Real-time monitoring of network status, entanglement strength, and tension levels with intuitive scale bars.即時監控網路狀態、糾纏強度與張力水平，配備直觀的比例尺進度條。
Aesthetic UI / 視覺美學: Designed with a Neon-Tokyo palette. Optimized for Dark Mode with a focus on high-density information display.採用霓虹東京配色。專為深色模式優化，專注於高密度資訊顯示。
Taiwan Style Color / 台股配色慣例: Red for Bullish/Up, Green for Bearish/Down.符合台股習慣：紅漲、綠跌。
How to Use / 如何使用
Select your pair / 選擇對象: Load the script on your primary chart (e.g., 2330.TW) and input the "Entangled Particle" (e.g., NASDAQ:TSM) in settings.在主圖表（如 2330.TW）掛載腳本，並在設定中輸入「糾纏對象」（如 NASDAQ:TSM）。
Monitor the Status / 監控狀態: Look for "STRONG BUY" or "TAKE PROFIT" advisories on the dashboard.觀察儀表板上的「強力買進 (STRONG BUY)」或「獲利了結 (TAKE PROFIT)」建議。
Execute / 執行交易: Enter when the "Quantum Tension" hits the $\pm 2.0$ thresholds while "Entanglement" is full.當「量子張力」達到 $\pm 2.0$ 臨界點且「糾纏強度」滿格時進場。
Disclaimer / 免責聲明Trading involves significant risk. This indicator is a statistical tool for decision support and does not guarantee profits. Use with proper risk management.交易涉及重大風險。本指標為輔助決策的統計工具，不保證獲利。請配合適當的風險管理使用。
EURUSD Macro-FX ScoreAdvanced fundamental and technical analysis of the eur/usd for long-term trading/forecasting. Recommended to use in a daily chart. Follow for more tools and ideas
Ultimate kNN Target Price and TimeDelivers Target-Price, Probability and Time to reach Target-Price.
TruTrend Market Bias FREETruTrend — Market Bias & Signal Indicator (Free)
TruTrend (Free) is a real-time market bias and signal indicator designed to help traders see trend direction and key buy/sell moments with clarity.
This version focuses on core trend structure and momentum shifts, giving you a clean visual read of the market without clutter. Signals update live and are intended to help traders stay on the right side of the move.
TruTrend Free is built to be simple, fast, and easy to use — ideal for traders who want structure without complexity.
What the Free Version Provides
• Market bias (bullish vs bearish)
• Basic buy & sell signals
• Trend structure visualization
• Clean, easy-to-read chart layout
Important Notes
• Signals are real-time and non-repainting
• Designed for general guidance, not trade automation
• Works across all markets and timeframes
Upgrade to Pro / Pro+
For advanced filtering, earlier entries, stronger confirmations, and premium features, check out TruTrend Pro and Pro+.
🔓 Upgrade access: whop.com
Sri - Bollinger Bands (Custom TF) Sri – Bollinger Bands (Custom Timeframe) is an enhanced Bollinger Bands indicator designed to provide higher-timeframe volatility structure directly on a lower-timeframe chart.
Instead of calculating bands on the chart’s native timeframe, this script allows traders to select an independent custom timeframe (CTF) for Bollinger Band computation, enabling clearer trend context, noise reduction, and multi-timeframe confluence.
This is not a visual mashup. The indicator uses true higher-timeframe statistical calculations via request.security(), ensuring that the basis, deviation, and bands are mathematically derived from the selected timeframe candles, not approximated or resampled.
🔍 How It Works (Conceptual Explanation)
Custom Timeframe Logic
Bollinger Bands are calculated entirely on the user-selected timeframe (e.g., 1H, 4H, Daily), regardless of the chart timeframe.
This allows traders on 5-min or 15-min charts to trade within higher-timeframe volatility envelopes.
Flexible Moving Average Basis
The middle band (basis) supports multiple MA types:
SMA
EMA
SMMA (RMA)
WMA
VWMA
This flexibility lets traders adapt the band behavior to trend-following, mean-reversion, or volume-weighted strategies.
Standard Deviation Envelope
Upper and lower bands are derived using true standard deviation from the selected timeframe’s price data.
The multiplier is user-controlled, allowing tighter or wider volatility envelopes.
Overlay-Friendly Design
Bands are plotted directly on price with optional offset support.
A soft background fill visually highlights the volatility zone without obscuring candles.
🧠 Why This Indicator Is Useful
Eliminates the need to switch charts to view higher-timeframe Bollinger Bands
Helps identify:
HTF support & resistance zones
Volatility expansion and contraction
Mean-reversion opportunities inside HTF structure
Especially effective for:
Intraday traders trading in the direction of HTF bands
Scalpers using HTF volatility boundaries as dynamic targets
Swing traders aligning entries with higher-timeframe compression or breakout zones
⚙️ Inputs Explained
Custom Timeframe – Timeframe used for Bollinger Band calculation
Length – Lookback period for MA and standard deviation
Basis MA Type – Choice of moving average for the middle band
Source – Price source (Close, HL2, etc.)
StdDev Multiplier – Controls band width
Offset – Visual displacement only (does not affect calculations)
📈 Example Use Cases
Trade 5-minute breakouts when price expands beyond the 1-hour upper band
Look for mean-reversion setups when price stretches outside daily Bollinger Bands
Combine with volume, VWAP, or trend filters for confirmation
🛡️ Notes
This script focuses on clarity and structure, not signal repainting or alerts.
Calculations are transparent and consistent with standard Bollinger Band methodology, enhanced through multi-timeframe statistical integrity.
Week Levels (OHLC, Settlement, CE) [Tradeisto]Weekly Levels (Tradeisto) is a sophisticated tool designed to bring institutional-grade weekly analysis to your chart. It goes beyond simple horizontal lines by combining authoritative Settlement data with pixel-perfect origination times, ensuring your levels are both accurate and contextually precise.
Key Features
Dual Precision Technology:
Price Accuracy: Uses the authoritative Weekly timeframe to capture Settlement
prices,
ensuring your levels match official exchange data (critical for Futures).
Visual Precision: Uses 15-minute timeframe data to pinpoint the exact origination
time of the High and Low. Your lines start exactly when the level was created, not just at the
"start of the week".
Dynamic Current Week:
Live Updates: Watch the "Current Week" Open, High, Low, and CE (50%) develop in
real-time.
Auto-Rename: When the trading week closes (e.g., Friday Settlement), the "Current"
labels automatically switch to "Week Open/High/Low" labels, seamlessly transitioning into
history.
Smart Labeling:
"Prev." Prefix: Automatically distinguishes the immediate previous week (labeled
"Prev.") from older history (labeled "Week").
Settlement Awareness: Automatically labels the Close as "Settlement" for Futures
contracts when enabled, and "Close" for other assets.
Historical Reference: Configurable "Weeks to Show" allows you to keep a clean chart or dig deep into past market structure.
Settings
Settlement as Close: Toggle this to prioritize the Settlement price for the Weekly Close (Standard for Futures analysis).
Weeks to Show: Control how much history remains on your chart.
Current Week Visibility: Toggle individual components for the developing week (Open, High, Low, CE).
Tradeisto delivers a professional, clean, and highly accurate weekly framework for serious market analysis.
Risk Reward Table Only UYRisk–Reward Template (UY) — How to Read & Use It
This tool is designed to make position risk and reward fully transparent before you trade.
What You Enter (Inputs)
Account Size ($)
Your total trading capital.
Account Invested ($)
How much capital you are allocating to this position before leverage.
Entry and Exit Prices
How to Use This Tool Properly
If Total Risk % feels uncomfortable, the trade is oversized.
If Stop % is large, If Gain doesn’t justify Risk, skip the trade.
If Leverage inflates risk too much, reduce size
Session Levels (RTH OHLC, Settlement and others) [Tradeisto]Session Levels (Tradeisto) is a precision-focused trading tool designed to automatically plot the most critical price levels for intraday and swing analysis. Built for traders who rely on session structure, this indicator keeps your chart clean by managing levels dynamically.
Key Features
RTH Structure: Automatically detects and plots Regular Trading Hours (RTH) High, Low, Open, and Close.
Key Daily Levels: Displays essential daily references including Settlement, Daily Open, and Midnight Open.
Smart Mitigation: Levels are dynamic—they remain on your chart until price acts upon them. Once a level is "mitigated" (touched), it is automatically removed to keep your workspace uncluttered.
Real-Time Visibility: Mitigated levels stay visible for the duration of the current bar, so you never miss a reaction in real-time.
Precision Origination: Unlike standard indicators, our lines originate from the exact timestamp where the level was created. This ensures pixel-perfect accuracy on lower timeframes (e.g., 1m, 5m).
Multi-Asset Support: Intelligent RTH detection for major asset classes including:
Indices (NQ, ES, YM)
Metals (Gold, Silver)
Energy (Crude, NG)
Currencies & Grains
Manual Mode for custom session times.
Customization
Fully customizable colors for every level type.
Adjustable lookback/history depth (choose how many days of past levels to keep).
Toggle visibility for individual components (e.g., show only Settlement and RTH High/Low).
Tradeisto provides the clarity you need to trade session levels with confidence.
Spot Taker Flow & Early Warning System How Does This Code Detect a "Fake" Rise?
Spot VWMA Logic: The moving average looks not only at the price but also at how much "spot volume" is circulating at that price.
Fake Rise Scenario: If the price (candles) is going up but the Yellow (Binance) or Blue (Coinbase) lines we've drawn are below it, or the price is drooping to the level of these lines; know that the rise is being triggered by bots in futures trading, not spot buyers. This is a "Fake" rise.
Confirmed Rise: If the price is above all these L1 lines, there may be "real money behind it".
Algorithmic Regime Classifier - Lovable Chart**Join our Discord community for further discussion, updates, and help:**
discord.gg
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### **Algorithmic Regime Classifier (Market Regime Scanner Pro)**
The **Algorithmic Regime Classifier** is a comprehensive, all-in-one market intelligence system designed to remove the noise from your charts. By combining volatility, momentum, volume, and multi-timeframe analysis, this indicator identifies the specific "Regime" the market is currently in—helping you trade *with* the flow rather than against it.
From detecting "Master Pattern" squeezes to identifying institutional order blocks and volume spikes, this tool acts as your automated trading analyst.
---
### **🌟 Key Features**
#### **1. Market Regime Detection (The Core Engine)**
The indicator automatically classifies price action into clear color-coded phases, removing analysis paralysis:
* **🔵 Contraction (Blue):** The "Squeeze." Volatility is low, and energy is building. *Strategy: Wait for the breakout.*
* **🟨 Expansion (Yellow):** The "Breakout." Volatility is expanding rapidly from a squeeze.
* **🟩 Strong Uptrend (Green):** Confirmed bullish trend with volume and ADX support.
* **🟥 Strong Downtrend (Red):** Confirmed bearish trend with volume and ADX support.
* **⬜ Normal/Weak Range:** Low probability choppy zones.
#### **2. 🤖 AI Smart Companion**
A unique text-based assistant located on your chart that interprets all data points in real-time. It provides:
* **Current Status:** (e.g., "MASTER PATTERN: CONTRACTION")
* **Actionable Advice:** (e.g., *"Value building in progress. STAY FLAT."* or *"Institutional Entry Detected! Trail stops."*)
* **Visual Confidence:** Changes color based on the strength of the setup (Green for Go, Purple for Trap, Blue for Wait).
#### **3. Multi-Timeframe (MTF) Bias Dashboard**
Don't trade in a vacuum. The pro dashboard analyzes **Trend, Money Flow, Momentum, Volume, and Volatility** across timeframes ranging from **1 minute to Monthly**.
* **Confluence Check:** Calculates a composite score to tell you if "Buyers are in Control" or if there are "Mixed Signals."
* **Anchoring:** Checks higher timeframes to ensure you aren't scalping against a massive trend.
#### **4. Smart Money Concepts (SMC) & Structure**
* **Order Blocks:** Automatically plots Bullish and Bearish order blocks based on consolidation and volume breakouts. Includes mitigation logic (blocks disappear when price tests them).
* **Support & Resistance:** Dynamic pivot-based S/R levels that track when zones are tested and broken.
#### **5. Quant Delta Volume Bubbles**
Detects hidden institutional activity using statistical Z-Scores.
* **Momentum Events:** Large aggressive buying/selling.
* **Absorption:** Passive limit orders absorbing aggressive market orders (often marks reversals).
* **Ghost Lines:** Visualizes where large liquidity entered the market, acting as future defense levels.
#### **6. VIX Exhaustion Signals**
Uses a calculated "Fear Index" (Williams Vix Fix) combined with Bollinger Bands to identify market bottoms and top-exhaustion points.
* **Signals:** High-contrast arrows and labels indicating potential reversals when price is overextended.
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### **🛠️ How to Trade This System**
**The "Master Pattern" Strategy:**
1. **Wait for Blue (Contraction):** Look for the blue background and "Squeeze" signals. This indicates energy storage.
2. **Await the Breakout:** Watch for the transition to **Yellow (Expansion)** or **Green/Red (Trend)**.
3. **Confirm with AI & MTF:** Check the AI Companion text. If it says "IGNITION" and the MTF Dashboard shows alignment (e.g., Buyers in Control), enter the trade.
4. **Target:** Use the generated Support/Resistance lines or Order Blocks as take-profit targets.
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### **Settings & Customization**
* **Regime Sensitivity:** Adjust the Contraction/Expansion factors to fit your asset's volatility.
* **Dashboard Positioning:** Move the AI Companion and MTF tables to any corner of the screen to fit your layout.
* **Visuals:** Toggle specific features (Order Blocks, Bubbles, S/R) on or off to keep your chart clean.
---
**Disclaimer:**
*This indicator is for educational and analytical purposes only. Past performance does not guarantee future results. Always manage your risk.*
Apex Wallet - Lorentzian Classification: Adaptive Signal SuiteOverview The Apex Wallet Lorentzian Classification is a high-performance signal engine that utilizes an adaptive multi-feature approach to identify high-probability entry points. It synthesizes five distinct technical features—RSI, CCI, ADX, MFI, and ROC—to calculate a weighted trend bias.
Dynamic Adaptation The core strength of this indicator is its ability to automatically recalibrate its internal periods based on your selected Trading Mode.
Scalping: Uses ultra-fast periods (e.g., RSI 7, ADX 10) for quick reaction on 1m to 5m charts.
Day-Trading: Balanced settings (e.g., RSI 14, ADX 14) optimized for 15m to 1h timeframes.
Swing-Trading: Smooth, long-term filters (e.g., RSI 21, ADX 20) to capture major market shifts.
Logic & Signal Flow
Feature Extraction: The script calculates five momentum and volatility features using the current close price.
Signal Summation: Each feature contributes to a global signal score based on established technical thresholds.
EMA Smoothing: The raw signal is processed through an EMA filter to eliminate market noise and false breakouts.
Execution: Clear BUY and SELL labels are printed directly on the chart when the smoothed score crosses specific conviction levels.
Key Features:
Zero-Configuration: No need to manually adjust lengths; simply pick your trading style.
Clean Visuals: High-fidelity labels (BUY/SELL) with integrated alert conditions for automation.
Prop-Firm Ready: Ideal for traders needing fast confirmation for high-conviction trades.
LINHFX Bull Bear DivergenceBull Bear Divergence is a momentum-based indicator designed to analyze bullish and bearish strength and identify divergence between price action and market momentum.
It helps traders detect:
Bullish divergence (potential upside reversal)
Bearish divergence (potential downside reversal)
Shifts in buying and selling pressure
This indicator is ideal for Price Action, Smart Money Concept (SMC), intraday and swing trading, and works across multiple timeframes and markets such as Forex, Gold, Crypto, and Indices.
Best used in combination with market structure, key levels, and risk manageme
LinhFX Bull Bear Divergence 2.0 Bull Bear Divergence is a momentum-based indicator designed to analyze bullish and bearish strength and identify divergence between price action and market momentum.
It helps traders detect:
Bullish divergence (potential upside reversal)
Bearish divergence (potential downside reversal)
Shifts in buying and selling pressure
This indicator is ideal for Price Action, Smart Money Concept (SMC), intraday and swing trading, and works across multiple timeframes and markets such as Forex, Gold, Crypto, and Indices.
Best used in combination with market structure, key levels, and risk manageme
Custom Daily POC with Date LabelsThis indicator provides a clear view of today's control levels in relation to the point of control from previous days, revealing where the big whales are navigating and manipulating the market.
It's a simple yet genius tool...
Advanced kNN Target Price and TimeDeliver Target Price, Target Price probability and time to reach.
Machine Learning Based.
Eccodax Robust k-NN Machine Learning LorentzianHere is the complete, final, corrected, and clean code, already including:
✅ Fixed shadowing of the variable d
✅ No compilation warnings
✅ No temporal leaks
✅ Target = real future return
✅ Robust Lorentzian distance
✅ Correct Matrix structure
✅ Consistent feature engineering
✅ Min-Max normalization
✅ Weighted k-NN inference
✅ Correct price reconstruction
1. What this code is
It is a predictive indicator based on classic Machine Learning (k-Nearest Neighbors), fully implemented in PineScript v6, designed to:
Learn historical market patterns
Compare the current state with similar past states
Estimate the expected future price movement
Reconstruct a projected price consistent with the current level
It is not an oscillator, it is not a traditional technical indicator, and it does not react only to the immediate past.
2. What the Model Learns (Supervised Learning)
2.1 Features (Input Variables)
The model uses three dimensions of information, all normalized by Z-score:
Return
Measures the percentage change in price
Captures the immediate momentum of the market
Momentum (ROC)
Measures acceleration or deceleration of the movement
Differentiates trends from consolidations
Volatility
Measures the degree of market uncertainty
Adjusts the weight of strong movements vs. noise
These three variables form a market state vector.
2.2 Normalization (Z-Score)
Each feature is converted to:
Mean ≈ 0
Standard deviation ≈ 1
This ensures that:
No variable dominates the distance
The statistical comparison is valid
The model is stable in different price regimes
2.3 Target (Predicted Variable)
The model does not predict absolute price. It learns:
Observed future return after forecastBars
That is:
Learns movement, not level
Eliminates historical bias
Avoids predictions inconsistent with the current price
3. How the model makes the prediction
3.1 Search for similar patterns (k-NN)
For each current candle, the model:
Analyzes the last lookback candles
Calculates the Euclidean distance between the current state and each past state
Selects the k most similar states
Observes what happened after them
3.2 Inference
The predicted return is calculated as:
Weighted average of the future returns of the neighbors
Weights inversely proportional to the distance
More similar states → greater influence.
4. Price Reconstruction (Key Information)
From the predicted return, the model reconstructs:
Predicted Price = Current Close × (1 + Predicted Return)
Predicted Price = Current Close × (1 + Predicted Return)
This ensures that:
The forecast respects the current market level
The output is visually interpretable
There is no regression to past regimes
5. Relevant Information the Indicator Delivers
5.1 Predicted Price (Green Line)
What it is: Estimated price after forecastBars.
How to use:
Above the current price → bullish bias
Below → bearish bias
Large distance → expectation of strong movement
5.2 Predicted Return (Implicit)
Even though not plotted directly, it is the most important information in the model.
Positive → expectation of appreciation
Negative → expectation of decline
Negative → expectation of decline
Near zero → sideways market
5.3 Directional Classification (optional)
The model also acts as a binary classifier:
High if expected return > 0
Low if expected return < 0
This is used as:
Noise filter
Trend confirmation
False signal reduction
5.4 Implicit statistical context
The indicator carries information that is not visual, but is fundamental:
Market regime (trending vs. sideways)
Statistical similarity with the past
Relative confidence (via distance from neighbors)
6. What this indicator does NOT do
It is important to align expectations:
❌ Does not predict exogenous events
❌ Does not anticipate gaps
❌ Does not work well on illiquid assets
❌ Does not extrapolate long trends
k-NN replicates patterns, does not create scenarios Unprecedented.
7. Where this model works best
Markets with repetitive structure
Medium timeframes (5m – 1D)
Liquid assets
Environments with alternating regimes
8. How to use it in practice (professional recommendation)
Ideal use:
k-NN direction → bias
Technical indicator → timing
Risk management → execution
Never use it in isolation for entry.
9. Executive summary
This code delivers:
A functional supervised ML model in Pine
Prediction consistent with the current price
Statistical market direction
Reduction of historical bias
Solid foundation for quantitative strategies
Eccodax Advanced kNN Lorentziano Matrix1. What this code is
It is a predictive indicator based on classic Machine Learning (k-Nearest Neighbors), fully implemented in PineScript v6, designed to:
Learn historical market patterns
Compare the current state with similar past states
Estimate the expected future price movement
Reconstruct a projected price consistent with the current level
It is not an oscillator, it is not a traditional technical indicator, and it does not react only to the immediate past.
2. What the Model Learns (Supervised Learning)
2.1 Features (Input Variables)
The model uses three dimensions of information, all normalized by Z-score:
Return
Measures the percentage change in price
Captures the immediate momentum of the market
Momentum (ROC)
Measures acceleration or deceleration of the movement
Differentiates trends from consolidations
Volatility
Measures the degree of market uncertainty
Adjusts the weight of strong movements vs. noise
These three variables form a market state vector.
2.2 Normalization (Z-Score)
Each feature is converted to:
Mean ≈ 0
Standard deviation ≈ 1
This ensures that:
No variable dominates the distance
The statistical comparison is valid
The model is stable in different price regimes
2.3 Target (Predicted Variable)
The model does not predict absolute price. It learns:
Observed future return after forecastBars
That is:
Learns movement, not level
Eliminates historical bias
Avoids predictions inconsistent with the current price
3. How the model makes the prediction
3.1 Search for similar patterns (k-NN)
For each current candle, the model:
Analyzes the last lookback candles
Calculates the Euclidean distance between the current state and each past state
Selects the k most similar states
Observes what happened after them
3.2 Inference
The predicted return is calculated as:
Weighted average of the future returns of the neighbors
Weights inversely proportional to the distance
More similar states → greater influence.
4. Price Reconstruction (Key Information)
From the predicted return, the model reconstructs:
Predicted Price = Current Close × (1 + Predicted Return)
Predicted Price = Current Close × (1 + Predicted Return)
This ensures that:
The forecast respects the current market level
The output is visually interpretable
There is no regression to past regimes
5. Relevant Information the Indicator Delivers
5.1 Predicted Price (Green Line)
What it is: Estimated price after forecastBars.
How to use:
Above the current price → bullish bias
Below → bearish bias
Large distance → expectation of strong movement
5.2 Predicted Return (Implicit)
Even though not plotted directly, it is the most important information in the model.
Positive → expectation of appreciation
Negative → expectation of decline
Negative → expectation of decline
Near zero → sideways market
5.3 Directional Classification (optional)
The model also acts as a binary classifier:
High if expected return > 0
Low if expected return < 0
This is used as:
Noise filter
Trend confirmation
False signal reduction
5.4 Implicit statistical context
The indicator carries information that is not visual, but is fundamental:
Market regime (trending vs. sideways)
Statistical similarity with the past
Relative confidence (via distance from neighbors)
6. What this indicator does NOT do
It is important to align expectations:
❌ Does not predict exogenous events
❌ Does not anticipate gaps
❌ Does not work well on illiquid assets
❌ Does not extrapolate long trends
k-NN replicates patterns, does not create scenarios Unprecedented.
7. Where this model works best
Markets with repetitive structure
Medium timeframes (5m – 1D)
Liquid assets
Environments with alternating regimes
8. How to use it in practice (professional recommendation)
Ideal use:
k-NN direction → bias
Technical indicator → timing
Risk management → execution
Never use it in isolation for entry.
9. Executive summary
This code delivers:
A functional supervised ML model in Pine
Prediction consistent with the current price
Statistical market direction
Reduction of historical bias
Solid foundation for quantitative strategies
Relevant information provided by this code
1. Forecasted price (line)
Statistical projection consistent with the current level
Based on similar historical patterns
2. Implicit direction
Return > 0 → bullish bias
Return < 0 → bearish bias
3. Structural robustness
Lower sensitivity to outliers
Lower scale bias
Better adaptation to different regimes
This refactored version introduces significant improvements based on modern quantitative Machine Learning practices (similar to those found in jdehorty's "Lorentzian Classification" indicator):
Lorentzian Distance: Replaces the Euclidean distance (which is affected by noise and outliers) with Lorentzian Distance, which is much more robust for financial markets.
Matrix Structure: Uses the matrix object in Pine V6 to manage training data more efficiently and cleanly than loose arrays.
Feature Engineering (WaveTrend & RSI): Replaces simple Momentum with normalized indicators (RSI, WaveTrend, CCI, ADX), better capturing market dynamics.
Min-Max Normalization: Features are normalized on a 0-100 scale so that indicators with different magnitudes do not distort the distance calculation.
Inverse Distance Weighting: Instead of a simple average, the nearest neighbors (most similar) have greater weight in the prediction.
VSA 2.0ENG
VSA 2.0 is a next-generation Volume Spread Analysis based on tick volume and price behavior, stripped of classical rules and indicators.
It focuses on context, effort vs result, and institutional intent, filtering retail noise to read what smart money is doing, not what textbooks say.
Follow me on YOUTUBE and Telegram!
BehindTheScalper
ETH&BTCThis script is a streamlined trend-following strategy designed specifically for major crypto pairs like ETH and BTC.
It eliminates the noise by using a hardcoded, "black box" logic that combines Price Action with Trend Momentum. Instead of relying on lagging indicators alone, it analyzes market structure, volume flows, and directional strength to identify high-probability entry points.
Minimalist Integrated Trading[WuYaa]图表出现信号后看大时间框架趋势是否一致
例：15分钟出现信号，看1小时或4小时趋势是否与15分钟框架一致
After a signal appears on the chart, check whether the trend on a larger timeframe is consistent.
For example: if a signal appears on the 15-minute chart, check whether the trend on the 1-hour or 4-hour chart is consistent with the 15-minute timeframe.
