Cloud Matrix [CongTrader]Cloud Matrix – Ichimoku Confluence System
Cloud Matrix is a rule-based Ichimoku confluence framework, designed to filter noise and low-probability setups by requiring multi-condition confirmation instead of single signals.
Unlike traditional Ichimoku usage (visual interpretation), this script converts Ichimoku states into a matrix scoring model.
Each setup is validated using 5 structural dimensions:
• Tenkan–Kijun relationship
• Price position vs Kumo
• Kumo polarity (Span A vs Span B)
• Chikou Span confirmation
• Price vs Kijun acceptance
Only when ≥ 3 conditions align, signals are allowed.
🔹 Signal Logic
Cloud Matrix generates two validated signal types:
• TK Cross Signals – Tenkan/Kijun crosses filtered by matrix confirmation
• Kumo Break Signals – Breakouts confirmed by cloud structure and momentum context
All signals can be configured to trigger on candle close to reduce noise and repainting.
🔹 Trend Alignment (Optional)
An optional Higher Timeframe EMA200 filter is included:
• Long signals only in HTF uptrend
• Short signals only in HTF downtrend
This improves consistency by preventing counter-trend trades.
🔹 Presets
Built-in presets allow fast adaptation:
• Traditional Ichimoku
• Crypto Fast
• Crypto Medium
• Custom mode
🔹 Usage
Use Cloud Matrix as a decision filter, not a buy/sell machine:
identify trend → wait for TK cross or Kumo break → confirm matrix alignment → execute with price action and structure-based risk management...
趋势分析
EEQI [Environment Quality Index] PyraTime The Problem: Why Good Strategies Fail
The number one reason traders lose capital is not a lack of strategy—it is forced execution in poor environments.
Most indicators (RSI, MACD, Stochastic) are continuously active, generating signals even when the market is dead, choppy, or chaotic. A breakout strategy that prints money in a trend will destroy your account in a consolidation range. A mean-reversion system that works in chop will fail during a parabolic expansion.
The Solution: PyraTime EEQI The Execution Environment Quality Index (EEQI) is a "Gatekeeper" layer for your trading. It does not tell you what to buy or sell; it tells you if you should be trading at all.
By aggregating Volatility, Price Structure, and Efficiency into a single composite score, the EEQI answers the most critical question in discretionary trading: "Is the market efficient enough to deploy capital right now?"
How It Works: The 3 Core Engines
The EEQI calculates a raw "Environment Score" (from -2 to +4) by analyzing three distinct dimensions of price action.
1. Volatility Engine (Usability)
The Logic: Measures the "Alive-ness" of the market using ATR Percentiles.
The Filter: It detects "Dead Zones" (where price is too flat to hit targets) and "Chaos Zones" (where volatility is too dangerous).
Smart Feature (Parabolic Override): If price moves significantly (>2x ATR) in a single candle, the engine recognizes this as "High Momentum" rather than chaos, unlocking Green signals during breakouts.
2. Structure Engine (Bar Quality)
The Logic: Analyzes the relationship between candle bodies, wicks, and overlap.
The Filter: It penalizes "Barbed Wire" price action—candles with long wicks and high overlap—which indicate indecision and algo-chop.
The Goal: We want to trade during "Clean Flow," where candle bodies are large and overlap is low.
3. Efficiency Engine (Directional Flow)
The Logic: Compares Net Displacement (start-to-finish distance) vs. Total Distance Traveled.
The Filter: Identifies "Whipsaw" conditions where price moves a lot but goes nowhere.
Smart Feature (Velocity Lock): If price travels a massive distance quickly, the efficiency requirement is relaxed to catch explosive moves that might otherwise look "messy."
The "Smart Gatekeepers"
Even if the Core Engines look good, the EEQI applies three final safety checks before granting a PRIME status.
Regime Persistence (Stability Check): The market must hold a high score for a set number of bars (default: 1) before the signal turns Green. This prevents "fake-outs" where a single anomaly candle tricks you into entering a bad trend.
Volume Validation (Liquidity Check): Price movement without participation is a trap. The EEQI checks Relative Volume (RVOL). If volume is below average (e.g., lunch hour, holidays, or late-night sessions), the score is capped at "Fair" or "Low Vol," preventing execution in thin liquidity.
Macro Context (HTF Filter): You cannot trade against the higher timeframe. The EEQI checks the trend and volatility of the Higher Timeframe (default: Weekly). If the macro view is compressed or dead, the local signal is vetoed.
How to Read the HUD
The Dashboard (Bottom Right) gives you an instant read on the market state.
🟢 PRIME (+4): Execution Optimal. The market is trending, efficient, and backed by volume. This is the "Green Light" for your strategy.
🔵 FAIR (+1 to +3): Tradeable. Conditions are decent, but one factor (e.g., volume or structure) is imperfect. Exercise caution.
⚪ NEUTRAL (0): Indecision. The market is transitioning. Stand aside.
🟡 BUILDING: Wait. The market is good, but hasn't proven itself yet (Persistence Check).
🟠 POOR / LOW VOL: Chop. Price is messy or lacking participation.
🔴 AVOID (-2): Danger Zone. The market is either dead flat or violently chaotic. Do not trade.
Settings & Customization
The indicator comes with calibrated presets for different asset classes:
Crypto: Tolerates higher volatility and requires stronger efficiency confirmation.
Forex: Stricter dead-zone filters to handle ranging sessions.
Indices: Balanced settings for standard equity hours.
Disclaimer
This tool is designed for environment analysis only. It does not provide buy or sell signals, entry prices, or stop-losses. It is intended to be used as a filter to improve the performance of your own discretionary strategies.
Accumulation/Distribution Oscillator [MarkitTick]💡 This script presents a statistically normalized evolution of the classic Accumulation/Distribution (A/D) indicator, designed to transform unbounded volume flow into a bounded, actionable oscillator. By integrating Relative Volume (RVOL) weighting and Z-Score standardization, this tool isolates genuine institutional buying and selling pressure from market noise, offering a clear view of volume momentum regimes.
✨ Originality and Utility
The standard Accumulation/Distribution line is a cumulative total of volume flow, which often results in an unbounded line that drifts indefinitely with price trends. This makes it difficult for traders to identify overextended conditions or specific turning points.
This script solves that problem through a three-stage quantitative process:
Smart Volume Weighting: Instead of treating all volume equally, this indicator amplifies the impact of high-volume nodes using a Relative Volume (RVOL) filter. This ensures that significant institutional activity carries more weight than low-liquidity chopping.
Detrending: It subtracts a smoothed average (using ALMA, EMA, or others) from the raw A/D line to create a raw oscillator.
Normalization: Finally, it applies a Z-Score calculation to normalize the data. This bounds the oscillator around a zero mean, allowing for the application of Bollinger Bands to detect statistical extremes (2 or 3 standard deviations).
🔬 Methodology and Concepts
The calculation logic follows a strict quantitative pipeline:
● Money Flow Multiplier (MFM)
The core engine is the classic MFM calculation, which determines the location of the Close relative to the High-Low range. A Close near the High results in +1, while a Close near the Low results in -1.
● Advanced Volume Filtering
Before accumulation, the volume is processed through two filters:
RVOL Multiplier: If the current bar's volume exceeds its simple moving average (`rvol_len`), the volume is multiplied by a user-defined factor (`rvol_mult`). This emphasizes breakout candles.
Candle Strength (Optional): If enabled, weight is increased based on how close the price closes to the absolute high or low, rewarding decisive candle shapes.
● Z-Score Standardization
The script calculates the "Raw Oscillator" by subtracting a moving average (Signal Line) from the cumulative A/D Line. It then calculates the Z-Score of this raw value over a lookback period (`z_len`).
Formula: Z = (Value - Mean) / Standard Deviation
🎨 Visual Guide
The indicator renders a complex data set into an easy-to-read interface:
• The Oscillator (Line & Histogram)
The primary output is the Z-Score value.
Teal Histogram/Line: Represents Bullish momentum (Accumulation). Darker Teal indicates accelerating momentum (`osc > previous`), while lighter Teal indicates decaying momentum.
Red Histogram/Line: Represents Bearish momentum (Distribution). Darker Red indicates accelerating selling pressure, while lighter Red indicates exhaustion.
Gray: If the Trend Filter (200 EMA) or VWAP Filter is enabled and the signal opposes the trend, the histogram turns Gray to indicate a low-probability counter-trend signal.
• Bollinger Bands (Blue Bands)
These bands wrap around the oscillator line.
Upper Band: Usually set to +2 Standard Deviations. When the oscillator pierces this band, accumulation is statistically extreme (potential mean reversion or strong breakout).
Lower Band: Usually set to -2 Standard Deviations. Indicates statistically extreme distribution.
• Divergences
The script automatically detects and plots structural divergences:
Green Lines/Labels: Bullish Divergence. Price makes a Lower Low while the Oscillator makes a Higher Low.
Red Lines/Labels: Bearish Divergence. Price makes a Higher High while the Oscillator makes a Lower High.
• Multi-Timeframe (MTF) Dashboard
Located in the top right, this table displays the momentum status (BULL/BEAR) of the oscillator across three user-defined timeframes (default: 60min, 240min, Daily), allowing for fractal trend analysis.
📖 How to Use
This tool is best used for identifying trend exhaustion and hidden volume strength.
1. Trend Continuation
In a strong uptrend, look for the Histogram to remain Teal and above the Zero line. A pullback to the Zero line that bounces back up suggests buyers are stepping in to defend the trend.
2. Statistical Extremes
When the oscillator line breaks outside the Bollinger Bands, volume flow is significantly deviated from the norm.
If price is ranging, this often signals a reversal (Reversion to Mean).
If price is breaking out, this confirms strong impulse participation.
3. Divergence Reversals
A divergence is a leading signal. If price is pushing new highs but the A/D Oscillator fails to make a new high (Red Divergence Line), it indicates that the volume supporting the move is drying up, often preceding a correction.
⚙️ Inputs and Settings
● Oscillator Settings
Smoothing Type/Length: Choose between ALMA, EMA, SMA, etc., to smooth the A/D line. ALMA is default for its zero-lag properties.
ALMA Offset/Sigma: Fine-tune the responsiveness of the Arnaud Legoux Moving Average.
● Quant Filters
RVOL Lookback & Multiplier: Determines the threshold for "High Volume." Default is 1.5x average volume.
Z-Score Lookback: The period used to establish statistical significance (Default: 100).
Use VWAP/Trend Filter: Logical switches to gray out signals that contradict the macro trend (200 EMA) or the intraday mean (VWAP).
● Dashboard
Customize the three timeframes displayed in the MTF table to match your trading horizon (e.g., Scalpers might use 5m, 15m, 1h).
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator relies on the Law of Supply and Demand quantified through Standard Score (Z-Score) Statistics .
Standard Accumulation/Distribution is derived from the work of Marc Chaikin, positing that the proximity of the close to the high/low on high volume indicates the "smart money" flow. However, raw cumulative data suffers from heteroscedasticity (varying variance).
By applying Z-Score normalization:
Z = (x - μ) / σ
We transform the data into a standard normal distribution. This allows us to apply probability theory to volume analysis. A value of +2.0 is not merely "high"; it represents a volume flow intensity that falls within the top 2.2% of the data set (assuming normal distribution), providing a mathematically robust definition of "Overbought" or "Oversold" volume conditions.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Micha Stocks Buyers Breakout RatingMicha Stocks Buyers Breakout Rating (ByBr)
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This indicator is a custom rating system designed to identify high-probability "Buy" setups by analyzing Volume Conviction, Price Action, and Seller Exhaustion. It assigns a rating from 4 to 10 for every valid signal, helping traders filter out weak breakouts and focus on high-conviction moves.
How it Works The script uses a multi-tiered logic system to grade every green candle:
1. Volume Tiers (The Engine)
--Extreme Conviction (Rating 10): Volume is 2.5x higher than the short-term average.
--High Conviction (Rating 7-8): Volume is 1.5x higher than the short-term average.
2. Sustained Accumulation (Rating 5-6) Identifies persistent buying pressure where the last X -----bars (default 5) have all been green/up candles.
--Bonus Points The script awards extra points to the base rating for high-quality candle shapes:
--Strong Close: Price closes in the top 25% of the daily range.
--Hammer Candle: Long lower wick (rejection of lows) with a small body.
3. Seller Exhaustion (The Reversal - Rating 3-4) This logic identifies "dip buys" where sellers have lost control. It requires:
--Downtrend: Price is below the recent high.
--Confirmation: Either a "Volume Washout" (recent panic selling) or a "Supply Dry Up" (volume dropping below average).
How to Use
--------------
Look for Triangles: A triangle appears below the bar when a signal is detected.
Read the Number: The number (4-10) indicates the strength of the signal.
10: Extreme Volume Breakout (highest confidence).
7-8: Strong Volume Breakout.
4: Reversal/Dip Buy opportunity (Seller Exhaustion).
Tooltip: Hover over the label to see exactly which logic triggered the signal (e.g., "Extreme Conviction" vs "Sustained Accumulation").
Settings
----------
Short Lookback: Adjust the sensitivity of the trend detection (Default: 5).
Volume Multipliers: Adjust how strict the volume requirements are for high ratings.
Smart Range ProfilerSmart Market Structure Viewer: Gaps, Swings & Dealing Ranges
Overview
This script is a comprehensive technical analysis viewer designed to provide a clear and objective visualization of market structure. By mapping liquidity gaps, multi-tier swing points, and dynamic dealing ranges, it helps traders identify key institutional levels and price action context without the clutter of predictive signals.
Key Features
1. Gap Analysis (FVG & Breakaway)
The tool identifies and tracks price imbalances to help visualize market inefficiency:
Fair Value Gaps (FVG): Highlights standard price imbalances.
Breakaway Gaps: Specifically marks gaps where the candle close remains outside the previous range, indicating strong directional commitment.
Sophisticated Mitigation: Users can choose how gaps are cleared from the chart (e.g., when price touches, leaves, or completely covers the gap), ensuring only relevant imbalances are displayed.
2. Hierarchical Swing Points
To help distinguish between minor fluctuations and major trend shifts, the viewer categorizes market structure into three hierarchical levels:
Short-Term (ST): Localized swing points identified in relation to gap formations.
Intermediate-Term (IT): Structural points derived from the relationship between short-term swings.
Long-Term (LT): High-level structural points that define the broader market framework.
3. Dynamic Dealing Range & Profiling
The script calculates and projects the current "Dealing Range" based on the selected structural hierarchy (ST, IT, or LT).
Range Geometry: Displays the Range Top, Range Bottom, and the Equilibrium (50%) level.
MTP (Most Traded Price): A volume-based profile indicating the price level with the highest trading activity within the current range.
MTS (Most Time Spent): A time-based profile highlighting the price level where the market spent the most duration.
How to use this Viewer
Structural Context: Use the multi-tier swings to identify the current market phase (Bullish/Bearish) and seniority of the trend.
Imbalance Tracking: Monitor how price interacts with Fair Value and Breakaway gaps to gauge the strength of a move.
Premium vs. Discount: Utilize the Dealing Range Equilibrium in conjunction with MTP/MTS levels to identify where price sits relative to its value distribution.
200W SMA Dynamic Extension Bands (MTF, Auto Asset)Summary
200W SMA Dynamic Extension Bands is a multi-timeframe TradingView indicator that plots extension bands (multiples) around the 200-week simple moving average. It’s designed to work on any chart timeframe (1m → 1D → 1W) while anchoring the bands to the latest confirmed weekly data, so the long-term reference is consistent and non-repainting across timeframes.
This is a macro “valuation/temperature gauge” style tool: it helps you quickly see when the price is cheap vs. the 200W mean and when it is extended/expensive.
What it plots
The indicator always computes:
200-week SMA (weekly)
Band m2
Band m3
Band m4
Bands are defined as:
Bandk(t)=SMA200W(t)⋅mk
Where the multipliers mk are chosen automatically depending on the asset type (or manually via input).
Key features
Works on any timeframe: weekly SMA is fetched via request.security(..., "W", ...).
Non-repainting weekly anchor: uses barmerge.lookahead_off to avoid peeking into future weekly bars.
Auto asset presets:
Crypto: wider extensions (bigger cycles)
Gold: moderate extensions
Equities: tighter than crypto
FX: very tight extensions
Futures: moderate fallback
Zone coloring (optional):
Cheap zone (below 1×)
Fair zone (1× → m2)
Hot zone (m2 → m3)
Expensive zone (m3 → m4)
Info table (optional): shows selected preset, current multiple, and % extension vs 200W SMA.
Alerts (optional): “entered cheap” and “entered expensive” style triggers.
Presets (default multipliers)
These are intentionally conservative templates (tune to your market):
Crypto: 1.0,1.5,2.0,3.0
Gold: 1.0,1.2,1.5,2.0
Equities: 1.0,1.15,1.30,1.60
FX: 1.0,1.05,1.10,1.20
Futures: 1.0,1.25,1.50,2.00
Auto mode uses syminfo.type plus a simple heuristic for Gold tickers containing XAU / GOLD (because some platforms classify XAUUSD as forex).
How to use (practical)
Macro context / cycle temperature
Price below 1× (200W SMA): historically “cheap zone” for highly cyclical assets (especially BTC).
Price above m3: often “expensive/extended” and higher risk of mean reversion.
Not a standalone trading system
Use with trend confirmation (market structure), volume, and risk management.
Extensions can persist in strong trends—treat bands as regime context, not precise reversal points.
Settings you can change
SMA Length (Weeks): default 200
Band preset: Auto / Crypto / Gold / Equities / FX / Futures
Toggle:
Zone fills
Info table
Alerts
Included alertconditions:
Cross below 1× (entered cheap zone)
Cross above m3 (entered expensive zone)
High level guideline:
Green Zone: BUY (Below 1.0× - Undervalued)
Yellow Zone: HOLD (1.0× - 1.5× - Fair Value)
Orange Zone: CAUTION (1.5× - 2.0× - Getting Hot)
Red Zone: SELL (2.0× - 3.0× - Overvalued)
Notes / limitations
The “cheap/expensive” zones are heuristics. They do not guarantee future returns.
Auto classification is best-effort; if your symbol is unusual, set the preset manually.
For newly listed assets with limited weekly history, the 200W SMA may be na until enough data exists.
Strong Daily Reversal Arrows / Labels
🔁 Reversal indicator on the daily time frame
Bullish Reversal
✔ Previous day was bearish
✔ Today is bullish
✔ Today closes above previous day close
Bearish Reversal
✔ Previous day was bullish
✔ Today is bearish
✔ Today closes below previous day close
MAD Supertrend [Alpha Extract]A sophisticated SuperTrend implementation that replaces traditional ATR calculations with Mean Absolute Deviation methodology for adaptive volatility measurement and band construction. Utilizing SMA baseline with MAD-based deviation bands and optional adaptive factor adjustments, this indicator delivers institutional-grade trend detection with strength-based filtering and dynamic visual feedback. The system's MAD approach provides superior noise reduction compared to ATR while maintaining responsiveness to genuine volatility changes, combined with momentum-based strength calculations for high-conviction signal generation.
🔶 Advanced MAD-Based Band Construction
Implements Mean Absolute Deviation calculation as volatility proxy, measuring absolute price deviations from mean and smoothing for stable band generation without ATR dependency. The system calculates SMA baseline, computes MAD from configurable lookback period, applies factor multipliers to create upper and lower bands, then implements classic SuperTrend ratcheting logic where bands only adjust when price violates previous levels or calculations warrant updates.
// Core MAD SuperTrend Framework
SMA_Value = ta.sma(src, SMA_Length)
Mean = ta.sma(src, MAD_Length)
Abs_Deviation = abs(src - Mean)
MAD_Value = ta.sma(Abs_Deviation, MAD_Length)
// Band Construction with Ratcheting
Upper_Band = SMA_Value + MAD_Factor * MAD_Value
Lower_Band = SMA_Value - MAD_Factor * MAD_Value
// Ratcheting logic prevents premature band adjustments
🔶 Adaptive Factor Adjustment Engine
Features optional adaptive multiplier system that modulates MAD factor based on normalized MAD magnitude relative to recent extremes, creating bands that automatically expand during high-volatility regimes and contract during consolidation. The system applies min-max normalization to MAD values over configurable lookback, multiplies by adaptation parameter, and adds to base factor for dynamic volatility sensitivity without manual recalibration.
🔶 Momentum-Based Strength Filter
Implements sophisticated strength calculation measuring price momentum relative to baseline divided by volatility-adjusted MAD bands, producing normalized 0-1 strength scores with exponential smoothing. The system calculates distance from SMA baseline, normalizes by MAD-derived band width, and applies configurable minimum threshold requiring sufficient momentum before trend signals activate, filtering weak or choppy market conditions.
🔶 SuperTrend Direction Logic
Utilizes classic SuperTrend methodology adapted for MAD bands where trend direction flips on opposite band violations with state persistence until confirmation. The system tracks whether price closes above upper band (bearish flip to bullish) or below lower band (bullish flip to bearish), maintains directional state until opposing violation occurs, and generates binary +1/-1 trend signals suitable for systematic position management.
🔶 Intelligent Candle Sticking System
Provides advanced line positioning option that anchors SuperTrend line to candle wicks or bodies rather than pure calculation values for enhanced visual clarity. The system supports two modes: Wick (positions at high/low extremes based on trend direction) and Body (constrains line between calculation and candle extremes), creating cleaner chart presentation while maintaining mathematical integrity of underlying signals.
🔶 Dynamic Gradient Visualization Framework
Implements color intensity modulation based on smoothed strength calculations, transitioning from muted to vivid hues as momentum conviction increases. The system applies gradient interpolation using strength ratio, creating visual feedback where strong trending moves display intense colors while weak or consolidating conditions show faded tones across trend line, channel bands, and candle coloring for immediate regime assessment.
🔶 MAD Channel Architecture
Features volatility-adjusted channel bands centered on baseline or candle-stuck line with configurable multiplier for support/resistance visualization. The system calculates upper and lower bounds using MAD values scaled by adaptive factors and channel multipliers, applies dynamic transparency based on trend strength, and creates filled regions that intensify during strong trends and fade during weak conditions.
🔶 Multi-Layer Glow Effect System
Provides sophisticated line rendering with triple-layer plot system creating glow effect through progressively wider and more transparent outer layers. The system plots core trend line at specified width with full color intensity, adds inner glow layer at +2 width with moderate transparency, and outer glow at +4 width with higher transparency, creating visual depth and emphasis without cluttering chart space.
🔶 Strength-Based State Management
Implements intelligent trend state logic requiring both directional signal and minimum strength threshold breach before confirming trend transitions. The system calculates raw SuperTrend direction, evaluates smoothed strength against configurable minimum, generates filtered trend state that can be bullish (+1), bearish (-1), or neutral (0), and maintains state persistence using hold logic that prevents oscillation during ambiguous conditions.
🔶 Comprehensive Alert Integration
Generates trend flip alerts when filtered state transitions from bearish to bullish or bullish to bearish with full confirmation requirements satisfied. The system detects state changes through comparison with previous bar, triggers single alert per transition rather than continuous notifications, and provides customizable message templates for automated trading system integration or manual notification preferences.
🔶 Performance Optimization Architecture
Utilizes efficient calculation methods with null value handling, nz() functions preventing errors during initialization bars, and optimized gradient calculations. The system includes intelligent state persistence minimizing recalculation overhead, streamlined MAD computation avoiding redundant mean calculations, and smooth visual updates maintaining consistent performance across extended historical periods.
This indicator delivers sophisticated SuperTrend analysis through Mean Absolute Deviation methodology providing superior statistical properties compared to traditional ATR-based approaches. MAD calculations offer more robust volatility measurement resistant to extreme outliers while maintaining sensitivity to genuine market regime changes. The system's adaptive factor adjustment, momentum-based strength filtering, and dynamic visual feedback make it essential for traders seeking reliable trend-following signals with reduced false breakouts during choppy conditions. The combination of MAD bands, candle-sticking options, gradient strength visualization, and comprehensive filtering creates institutional-grade trend detection suitable for systematic approaches across cryptocurrency, forex, and equity markets with clear entry/exit signals and comprehensive alert capabilities.
daily reversalindicator that marks when the current daily candle (bullish or bearish) closes beyond the previous day’s High or Low.
Logic implemented
Bullish condition → Today closes above yesterday’s High
Bearish condition → Today closes below yesterday’s Low
Works only on Daily timeframe
Plots labels/arrows on the chart
Tori TrendlinesBasic script to plot trendlines according to the basic rules following Tori Trades strategy. This is a work in progress so please let me know if you find any issues with this.
Relative Strength Index as HistogramThe Relative Strength Index, converted to be represented as a histogram. It is calculated as RSI minus 50. The overbought zone is greater than 20. The oversold zone is less than -20. The columns differ in color depending on the positive or negative zone and the previous columns.
ARPAKET_FLOW_CRYPTOArpaket_FLOW - TradingView Script
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## 📝 Short Description (for subtitle)
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Advanced Money Flow Indicator with Multi-Asset Support, Whale Detection & Multi-Timeframe Analysis
```
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## 📄 Full Description (copy below this line)
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### 🌊 ARPAKET_FLOW - Smart Money Flow Indicator
**Arpaket_FLOW** is a comprehensive money flow indicator designed to help traders visualize whether smart money is flowing INTO or OUT of the market, along with the intensity of that flow. This indicator combines multiple proven technical analysis methods into a single, easy-to-read tool for making informed buy/sell decisions.
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### 🎯 What Does This Indicator Do?
This indicator answers the most critical question in trading: **"Is money flowing into or out of this asset?"**
By combining volume analysis with price action, Arpaket_FLOW calculates a **Flow Score (0-100)** that tells you:
- **Above 70**: Strong money inflow → Bullish bias
- **50-70**: Moderate inflow → Cautiously bullish
- **30-50**: Neutral zone → Wait for confirmation
- **Below 30**: Strong money outflow → Bearish bias
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### 🔬 How It Works
Arpaket_FLOW combines **6 powerful indicators** into one unified score:
| Component | Weight | Purpose |
|-----------|--------|---------|
| **Volume Ratio** | 25% | Detects unusual volume activity |
| **Money Flow Index (MFI)** | 20% | Measures buying/selling pressure with volume |
| **Chaikin Money Flow (CMF)** | 20% | Identifies accumulation/distribution |
| **On-Balance Volume (OBV)** | 15% | Tracks volume flow direction |
| **RSI Momentum** | 10% | Confirms price momentum |
| **VWAP Deviation** | 10% | Institutional price reference |
---
### ✨ Key Features
#### 🎛️ Multi-Asset Adaptation
- **Crypto Mode**: Higher volatility thresholds + Whale detection
- **Low Liquidity Stocks**: Adjusted sensitivity for thin markets (SET Index, Small Caps)
- **High Liquidity Markets**: Standard settings for Forex, Major Indices
#### ⏱️ Multiple Trading Styles
- **Scalping** (1-5 min): Ultra-fast signals with noise filtering
- **Day Trading** (15min-1H): Balanced speed and reliability
- **Swing Trading** (4H-Daily): Multi-timeframe confirmation
- **Position Trading** (Weekly+): Long-term flow analysis
#### 🐋 Whale Detection (Crypto)
Automatically detects unusual large-volume activity that may indicate whale accumulation or distribution. When volume exceeds 3x the average, a whale marker (🐋) appears on the chart.
#### 📊 Multi-Timeframe Panel
For Swing and Position traders, view flow direction across 4 timeframes (1H, 4H, Daily, Weekly) simultaneously to ensure alignment before entering trades.
#### 📋 Real-Time Dashboard
A clean dashboard displaying:
- Flow Direction (Inflow/Outflow/Neutral)
- Flow Score (0-100)
- Flow Strength (Weak/Moderate/Strong/Extreme)
- Volume Status (Normal/Surge/Whale)
- MFI & CMF readings
- Overall Signal (Buy/Sell/Neutral)
#### ⚠️ Divergence Detection
Automatically identifies bullish and bearish divergences between price and money flow, providing early reversal warnings.
---
### 📖 How To Use
#### Basic Usage:
1. **Select your Market Type** in settings (Crypto/Low Liquidity/High Liquidity)
2. **Select your Trading Style** (Scalping/Day Trading/Swing/Position)
3. **Watch the histogram**:
- Green bars = Money flowing IN (bullish)
- Red bars = Money flowing OUT (bearish)
- Bar height = Flow intensity
#### Signal Interpretation:
| Signal | Meaning | Suggested Action |
|--------|---------|------------------|
| 🟢 Green Triangle | Strong buy signal | Consider long entry |
| 🔴 Red Triangle | Strong sell signal | Consider short/exit |
| 🐋 Whale Icon | Large player activity | Watch for direction |
| DIV Label | Divergence detected | Potential reversal |
#### Best Practices:
- Use **higher timeframes** for trend direction
- Use **lower timeframes** for entry timing
- Wait for **MTF alignment** (3+ timeframes agreeing) for higher probability trades
- Combine with support/resistance levels for optimal entries
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### ⚙️ Settings Guide
#### General Settings
- **Market Type**: Match to your traded asset
- **Trading Style**: Match to your timeframe
- **Sensitivity**: Conservative (fewer signals) → Aggressive (more signals)
#### Period Settings
- **Fast Period**: Short-term calculation (default: 7)
- **Slow Period**: Long-term calculation (default: 21)
- **Signal Smoothing**: Reduces noise (default: 5)
#### Alert Settings
- **Buy Threshold**: Score level for buy signals (default: 70)
- **Sell Threshold**: Score level for sell signals (default: 30)
- **Volume Surge Multiplier**: Volume spike detection (default: 2.0x)
- **Whale Multiplier**: Whale detection threshold (default: 3.0x)
---
### 🔔 Available Alerts
1. **Strong Buy/Sell Signal** - When confirmed signals trigger
2. **Enter Buy/Sell Zone** - When score crosses thresholds
3. **Whale Activity** - Accumulation or distribution detected
4. **Bullish/Bearish Divergence** - Price/flow divergence
5. **Volume Surge** - Unusual volume spike
6. **MTF Alignment** - Multiple timeframes agree
7. **Extreme Conditions** - Score above 90 or below 10
8. **Flow Reversal** - Direction change confirmed
---
### 📈 Recommended Combinations
This indicator works best when combined with:
- **Support/Resistance levels** for entry points
- **Trend lines** for direction confirmation
- **Moving Averages** (EMA 20/50/200) for trend context
- **Price Action patterns** for timing
---
### ⚠️ Disclaimer
This indicator is a tool to assist in trading decisions, not a guarantee of profits. Always:
- Use proper risk management
- Never risk more than you can afford to lose
- Backtest before live trading
- Consider multiple factors before entering trades
Past performance does not guarantee future results. Trading involves substantial risk of loss.
---
### 🙏 Credits & Acknowledgments
This indicator combines concepts from:
- Money Flow Index (Gene Quong & Avrum Soudack)
- Chaikin Money Flow (Marc Chaikin)
- On-Balance Volume (Joe Granville)
- Volume-Weighted Average Price (Institutional standard)
---
### 💬 Feedback
If you find this indicator helpful, please leave a comment or like! Your feedback helps improve future updates.
For questions or suggestions, feel free to comment below.
**Happy Trading!** 🚀
---
## 🏷️ Suggested Tags (for TradingView)
```
moneyflow, volume, smartmoney, whaledetection, crypto, stocks, forex, mfi, cmf, obv, vwap, multitimeframe, buysellindicator, flowanalysis, accumulation, distribution
```
---
## 📸 Suggested Screenshots to Include
1. **Main Chart View** - Show the indicator with histogram and dashboard
2. **Buy Signal Example** - Zoom in on a successful buy signal
3. **Whale Detection** - Show crypto chart with whale markers
4. **MTF Panel** - Display multi-timeframe alignment
5. **Settings Panel** - Show available customization options
eXquTrading FIB (Auto)eXquTrading FIB (Auto) — EMA144/169 Cloud + 8X Score + Auto Fibonacci (Single Set)
This indicator uses the EMA144/169 Cloud to define the market regime (LONG/SHORT/NEUTRAL), then generates BUY/SELL signals based on an 8-factor scoring system, while automatically drawing one Fibonacci set and extending it to the right so labels remain readable.
Features
Trend Regime (EMA144/169 Cloud):
Above cloud = LONG, below cloud = SHORT, inside cloud = NEUTRAL
8X Score Signals: confirmations from RSI, MACD, Stoch, Momentum, Volume, MFI, CCI, OBV(EMA)
Noise-reduction filters:
ATR-based cloud distance filter (reduces chasing signals)
ATR-based impulse candle filter (blocks oversized candles)
Cooldown (limits back-to-back signals)
Auto Fibonacci (Single Set):
Rebuilds on trend flip / fib invalidation / (optional) when a signal appears and no fib exists
Levels: -1.618, -1, -0.382, 0, 0.382, 0.5, 0.618, 1
Fib lines extend to the right on every bar (labels stay clean)
Settings (Quick tips)
Increase Minimum Confirmations (Score) → fewer but cleaner signals
Tighten ATR filters in choppy markets, loosen slightly in strong trends
Increase Right Pad Bars to keep right-side labels readable
Repaint / Execution Mode
Default: bar close only (more reliable)
Optional “Early Signal (Repaint Risk)” enables intrabar signals (faster, but may repaint)
Alerts
8X SCALP BUY
8X SCALP SELL
Disclaimer
For analysis/educational purposes only. Not financial advice. Always test settings on your own symbols and timeframes.
EduVest - IFA-VP Context v3.0 [NEON Edition]📊 IFA-VP Context v3.0
A powerful market context indicator combining Volume Profile analysis with SMA trend detection. Designed with a cyberpunk-inspired NEON color palette for maximum visibility on dark charts.
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🎯 WHAT IT DOES
This indicator helps you understand "where you are" in the market by analyzing:
• Volume Profile (POC, VAH, VAL)
• SMA Alignment (20/50/200)
• Context Score (0-100)
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⚡ KEY FEATURES
🔹 NEON Color Palette - Cyan/Pink/Gold colors optimized for dark mode
🔹 Context Score - Visual score bar (████████░░) shows market strength
🔹 Cross Signals - GOLDEN CROSS / DEATH CROSS with HUGE labels
🔹 POC Reaction - Track price interaction with Point of Control
🔹 Status Panel - All-in-one dashboard with trend, zone, and hints
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📺 THREE DISPLAY MODES
• Impact Mode - Full visual experience with badges, ribbons, and glow effects
• Minimal Mode - Clean SMA lines and VP levels only
• Pro Mode - Complete VP histogram display
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📈 SIGNALS EXPLAINED
▲ GOLDEN CROSS (20×50) - Short-term bullish momentum
▼ DEATH CROSS (20×50) - Short-term bearish momentum
⭐ MAJOR GOLDEN (50×200) - Long-term bull market signal
💥 MAJOR DEATH (50×200) - Long-term bear market signal
Context Badges:
⚡ SUPER BUY/SELL (Score 80+)
🔥 POWER BUY/SELL (Score 70-79)
💪 STRONG BUY/SELL (Score 60-69)
⏸ WAIT (Score <50)
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⏰ RECOMMENDED TIMEFRAMES
✅ 15min - 4H (Best for day trading & swing)
⚠️ 1min-5min (Noisy, use with caution)
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⚠️ DISCLAIMER
This is NOT a buy/sell signal indicator.
It shows market CONTEXT to help your own trading decisions.
Always use proper risk management and combine with your own analysis.
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🏷️ Tags: volume profile, sma, context, trend, neon, dark mode, poc, value area
ZigZag Volume Profile [Honestcowboy]The ZigZag Volume Profile Indicator is a combination of 2 very popular trading indicators, the volume profile and zigzag indicator. Instead of using predetermined sessions like traditional volume profile analysis. This indicator expands on zigzag indicators "legs" and draws a volume profile inside each zigzag leg.
What is a Volume Profile?
"Technical analysis tool showing trading volume at specific price levels, creating a horizontal histogram on the side of a chart to reveal areas of high buying/selling interest, unlike traditional volume bars showing volume over time. Key elements include the Point of Control (POC) for most traded price, the Value Area (VAH/VAL), identifying crucial support/resistance, and analyzing profile shapes (like D, B, P) to understand market balance and potential price targets, used by professionals to spot liquidity and market structure."
Key Differences
Does not have a value area but distinguishes each column in relation to the biggest column in percentage terms.
Does not take sessions into account instead using zigzag legs
🟦 CALCULATION
The zigzag volume profile first builds a standard zigzag indicator to find structure in the market. Using pivot points and a minimum % price move threshhold.
Then once it knows the zigzags it will use each leg as a time window to calculate a volume profile inside.
🔹Coloring each column:
The script will find the biggest column in the Profile and use that as a reference for all other columns. It will then decide for each column individually how big it is in % compared to the biggest column. It will use that percentage to decide which color to give it, top 20% will be red, top 40% purple, top 60% blue, top 80% green and all the rest yellow. The user is able to adjust these numbers for further customisation.
🟦 USAGE
The idea behind this indicator is, if you look at markets as different legs (moves) going in a zigzag pattern you might want to look deeper inside your previous moves and see where the actual liquidity/volume was during that move. The hypothesis here is you build trade ideas based on zigzags but then use the volume profiles.
Since volume and market structure are very well known concepts to discretionary traders I'm hoping this indicator might give some different perspective on this relation and help people create a trading approach based on it. Here's some quick cherry picked examples, just as a proof of concept:
🟦 SETTINGS
🔹ZIGZAG SETTINGS
Price Deviotion % : This is the minimum price move in % term from last pivot price needs to move to form a new pivot for the zigzag.
Pivot Legs (Left/Right): The amount of bars a high or a low needs to be higher/lower than to the left and right of the bar. 10 By default to create medium term zigzag
🔹Volume Profile
Profile Rows: The amount of rows in Y axis the zigzag is going to be sliced into to create the volume profile. Higher number is more detailed volume profile but also uses more box objects which is maxed at 500. 25 by default
Profiles to Display: The amount of volume profiles the indicator will draw back in time. Higher number means more history but also longer loading time. 20 by default
🔹Visual Settings
This part is pretty self explanatory and you have can manually select the colors used to create the volume profile. Refer back the the explanation about the "🔹coloring each column" section.
DAX 9-10 Breakout Strategy IndicatorOpening Hour Breakout (ORB) indicator for intraday trading.
WHAT IT DOES:
• Identifies the price range of a specific hour (default: 9:00-10:00)
• Detects breakout direction (Long/Short) when price breaks above HIGH or below LOW
• Automatically calculates Take Profit and Stop Loss zones based on range size
• Tracks trade outcome (Win/Lose) when TP or SL is hit
HOW TO USE:
1. Set the session hour according to your chart's timezone
2. Wait for the session range to form (yellow box)
3. Enter on breakout above HIGH (Long) or below LOW (Short)
4. TP and SL levels are automatically calculated
DEFAULT SETTINGS:
• TP Multiplier: 1.41x range (Risk:Reward ≈ 1:2.7)
• SL Multiplier: 0.52x range
FEATURES:
• Works on any timeframe (H1, M15, M30, etc.)
• Visual zones for session range, TP, and SL
• Price labels for all key levels
• Entry arrows and direction letters (L/S)
• Win/Lose markers (W/X) when trade closes
• Fully customizable - show/hide any element
• Info panel with live status and R:R ratio
• Alert conditions for Entry, TP hit, SL hit
BEST USED ON:
• DAX (Germany 40)
• Other indices: US30, US500, NAS100
• Forex majors during London/NY open
NOTE: This is an indicator for visual analysis. Use the Strategy version for backtesting.
ColorFlow EMA📊 ColorFlow EMA — Trend Flow & Bias Indicator
🔹 What This Indicator Does
ColorFlow EMA is a clean, visual trend-flow indicator designed to show directional bias and momentum state at a glance.
It uses two exponential moving averages:
Fast EMA (default: 10)
Slow EMA (default: 20)
The area between the EMAs is color-shaded to clearly display whether price is in a bullish or bearish flow.
🎨 Visual Logic
🔵 Blue shading → Bullish flow
(Fast EMA above Slow EMA)
🔴 Red shading → Bearish flow
(Fast EMA below Slow EMA)
Optional crossover markers can be enabled for visual confirmation when EMA alignment changes.
🧠 How to Use ColorFlow EMA
This indicator is not a standalone strategy and is not intended for signal-chasing.
It is best used as a context and bias filter alongside:
Price action
Market structure (HH/HL, LH/LL)
Support & resistance or supply & demand zones
Pullbacks vs premium/discount
Typical use cases:
Favor longs when the flow is blue
Favor shorts when the flow is red
Avoid forcing trades when EMAs are tangled or flat
Wait for pullbacks into structure instead of chasing price
⚠️ Important Notes
EMA crossovers alone do not guarantee profitable trades
Market conditions, structure, and location always matter
Works best in trending or transitioning markets
Not designed for ranging/choppy environments without context
⚙️ Customization
EMA lengths can be adjusted
Crossover markers can be toggled on/off
Designed to stay visually clean and uncluttered
🎯 Who This Indicator Is For
Traders who prioritize price action over indicators
Intraday traders (forex, indices, ETFs, stocks)
Traders who want clarity, not noise
📝 Final Thought
ColorFlow EMA answers one simple question:
“Should I be looking for longs or shorts here?”
Use it for bias, not prediction.
ColorFlow EMA📊 ColorFlow EMA — Trend Flow & Bias Indicator
🔹 What This Indicator Does
ColorFlow EMA is a clean, visual trend-flow indicator designed to show directional bias and momentum state at a glance.
It uses two exponential moving averages:
Fast EMA (default: 10)
Slow EMA (default: 20)
The area between the EMAs is color-shaded to clearly display whether price is in a bullish or bearish flow.
🎨 Visual Logic
🔵 Blue shading → Bullish flow
(Fast EMA above Slow EMA)
🔴 Red shading → Bearish flow
(Fast EMA below Slow EMA)
Optional crossover markers can be enabled for visual confirmation when EMA alignment changes.
🧠 How to Use ColorFlow EMA
This indicator is not a standalone strategy and is not intended for signal-chasing.
It is best used as a context and bias filter alongside:
Price action
Market structure (HH/HL, LH/LL)
Support & resistance or supply & demand zones
Pullbacks vs premium/discount
Typical use cases:
Favor longs when the flow is blue
Favor shorts when the flow is red
Avoid forcing trades when EMAs are tangled or flat
Wait for pullbacks into structure instead of chasing price
⚠️ Important Notes
EMA crossovers alone do not guarantee profitable trades
Market conditions, structure, and location always matter
Works best in trending or transitioning markets
Not designed for ranging/choppy environments without context
⚙️ Customization
EMA lengths can be adjusted
Crossover markers can be toggled on/off
Designed to stay visually clean and uncluttered
🎯 Who This Indicator Is For
Traders who prioritize price action over indicators
Intraday traders (forex, indices, ETFs, stocks)
Traders who want clarity, not noise
📝 Final Thought
ColorFlow EMA answers one simple question:
“Should I be looking for longs or shorts here?”
Use it for bias, not prediction.
Filtered Fractals (2-Stage + Alerts)Filtered Fractals
Overview
This indicator is an advanced evolution of the classic Fractal logic (like the WICK.ED or Bill Williams models). Standard fractals are often "noisy," marking every minor local peak or trough, which can lead to false signals in volatile markets.
This script solves the "noise" problem by introducing a Dual-Stage Filtering Process. Instead of displaying every fractal, it treats them as "candidates" and only confirms those that represent a dominant extremum relative to their neighboring fractals.
How It Works
The script operates in two distinct stages to ensure only the most significant structural pivot points are plotted:
Stage 1: Detection
The script identifies "Raw Fractals" based on your preferred sensitivity (Left/Right bars). By default, it uses a 5-bar lookback/lookforward, but these remain hidden from the chart initially.
Stage 2: Sliding Window Competition
The script monitors a rolling sequence of the last three identified fractals. It compares their prices to find the "True Extremum":
For Highs , it compares the 3 most recent fractal peaks.
For Lows , it compares the 3 most recent fractal troughs.
The Point System: Every time a fractal is the "winner" (the highest high or lowest low) within its 3-fractal window, it receives a confirmation point.
The Priority Rule: In cases where two fractals have the exact same price, the script gives priority to the earlier one (the "left" peak), reducing late entries.
Visual Confirmation
A fractal is only plotted on your chart once it achieves two confirmations . This means it has proven to be a significant price extreme compared to both its predecessor and its successor.
Key Features
Noise Reduction: Eliminates "crowded" fractals, leaving only the structural backbone of the trend.
Non-Repainting Logic: The script only processes confirmed closed bars. The current developing candle will never trigger a false fractal or a premature alert.
Smart Alerts: Built-in alert() functionality. You can set a single alert to notify you the exact moment a Bullish or Bearish fractal is confirmed.
Customizable Sensitivity: Adjust the Left/Right Bars in the settings to fit your specific timeframe (e.g., higher values for macro trends, lower for scalping).
How to use
Support/Resistance: Use these filtered fractals to draw more reliable S/R zones.
Stop Loss Placement: Ideal for trailing stops behind truly significant swing points.
Trend Confirmation: A series of higher-high filtered fractals provides a much cleaner view of an uptrend than standard indicators.
Support & Resistance Automated📌 Support and Resistance Automated (Pivot-Based)
Support and Resistance Automated is a lightweight and fully automated indicator that plots key support and resistance levels using pivot highs and pivot lows. It helps traders quickly identify important price reaction zones without manual drawing.
This indicator is especially useful for price-action traders, swing traders, and intraday traders who rely on clean charts and objective levels.
🔍 How It Works
Pivot Highs → Resistance Levels
Pivot Lows → Support Levels
Each detected pivot creates a horizontal dotted line that extends forward, allowing you to observe how price reacts over time.
Once a level is formed, it is kept permanently on the chart — no repainting, no disappearing levels.
⚙️ Customizable Settings
You can easily adjust:
Left & Right Pivot Bars – control how strong a pivot must be
Line Extension Length
Line Width
Support & Resistance Colors
Show / Hide Pivot Highs and Pivot Lows independently
This flexibility allows the indicator to adapt to intraday, swing, or higher-timeframe analysis.
✅ Key Features
✔ Fully automatic support & resistance detection
✔ Based on proven pivot-point logic
✔ No repainting
✔ Clean, minimal chart appearance
✔ Unlimited support & resistance levels
✔ Works on all timeframes & instruments
📈 Best Use Cases
Identifying key demand and supply zones
Planning entries, targets, and stop-losses
Confluence with price action, RSI, moving averages
Breakout and rejection-based strategies
Smart Money Sector RotationSTOP MISTAKING INFLATION FOR PERFORMANCE.
Your PnL might look green in nominal terms, but are you actually generating wealth, or just floating on a rising tide of liquidity?
The "Smart Money Sector Rotation" indicator is an institutional-grade dashboard designed to answer that single, critical question. It strips away the noise of nominal price action and benchmarks major assets against the "Honest Hurdle"—a dynamic baseline derived from M2 Money Supply, Inflation Breakevens, and Treasury Yields.
If an asset isn't beating the Hurdle, you aren't generating real wealth—you're just keeping pace with debasement.
THE HONEST FRAMEWORK Most screeners rank assets by simple percentage gain. This tool is different. It calculates a "Required Rate of Return" (Min Return) based on live Federal Reserve data (FRED).
1. Quantify the Debasement. We automatically fetch M2 Money Supply Growth and Inflation expectations to set the "floor."
2. Calculate Real Alpha. We measure how far an asset is trading above or below that floor.
3. Classify the Trend. Using RRG-style logic (Relative Rotation Graph), we categorize assets into four actionable phases based on their Real Yield and Momentum.
THE 4 MARKET PHASES Instead of vague signals, get a clear read on the asset's lifecycle:
ZONE 1: ELITE / LEADING (Cyan/Green) -- The State: Expansion. -- The Logic: The asset is generating positive Real Yields (beating the money printer) and has strong momentum relative to its peers.
ZONE 2: IMPROVING (Gold) -- The State: Recovery. -- The Logic: The asset may be below the Hurdle, but momentum is shifting positively. It is "waking up."
ZONE 3: LAGGING / WEAKENING (Orange/Red) -- The State: Contraction. -- The Logic: The asset is failing to keep up with debasement or is actively losing relative strength.
KEY FEATURES -- Auto-Macro Data: Connects directly to FRED for M2 (WM2NS), 10Y Inflation (T10YIE), and Yields (DGS10). No manual entry required. -- Trend Visualization: Tickers are marked with Green/Red indicators based on their 200-day Moving Average status. -- Prestige Color System: A dark-mode optimized, high-contrast palette designed for professional clarity. -- Multi-Asset Universe: Tracks Equities (XLK, XLE, etc.), Commodities (Gold, Silver, Oil), and Rates (TLT, HYG) in a single view.
HOW TO USE
1. Check the Header: Look at the "Min Ret" (Minimum Return). This is your beat-to-profit line.
2. Scan the Status: Focus on assets in the Elite or Leading zones for trend continuation. Watch Improving assets for potential reversals.
3. Respect the Trend: Use the SMA200 indicator as a final filter. A "Leading" status with a Red trend mark may indicate a trend that is rolling over.
DISCLAIMER This tool is for informational and educational purposes only. It visualizes macroeconomic data and does not constitute financial advice or a recommendation to buy/sell.
Mismatch Strategy | Madrimov tradeTitle
Mismatch Strategy by Madrimov trade – Gold vs DXY Impulse and Compression
Description
Concept
This indicator is based on a cross-market mismatch principle between Gold (XAUUSD) and the US Dollar Index (DXY).
It looks for situations where DXY expands aggressively while Gold temporarily fails to respond, creating a build-up of directional pressure that is often released once Gold breaks its short-term range.
Methodology (High-Level Overview)
The script evaluates three conditions on the same chart timeframe:
DXY Impulse Detection
A directional impulse on DXY is detected when the candle’s range exceeds a multiple of its ATR, indicating unusually strong participation rather than normal fluctuation.
Gold Compression Filter
At the same time, Gold must remain compressed, defined as a candle range significantly smaller than its own ATR.
This represents under-reaction or absorption despite external pressure.
Delayed Breakout Confirmation
Trades are triggered only after the mismatch occurs and Gold subsequently breaks its recent high or low over a configurable lookback period.
This delay avoids chasing impulses and focuses on release after compression.
Why This Is Different
Unlike traditional trend or correlation indicators, this script does not trade direction directly.
Instead, it evaluates effort versus response across two related markets, filtering out low-quality momentum and false breakouts.
The strategy focuses on:
Cross-asset pressure imbalance
Volatility-normalized conditions
Sequential confirmation rather than instant signals
How to Use
Designed primarily for XAUUSD charts
Works best on intraday timeframes (5m–15m)
Signals are strongest when aligned with higher-timeframe bias
Buy and sell signals are plotted directly on candles
Optional RR visualization can be enabled for reference
Limitations
Not predictive; signals are generated after candle close
Performance degrades during extremely low-liquidity or news-driven spikes
Intended as a decision-support tool, not a standalone trading system
Blockcircle FTR - Follow Through ReversalWHAT THIS INDICATOR DOES
Blockcircle FTR identifies failed directional moves followed by quality reversals. The indicator tracks structural pivot levels, monitors price interactions with those levels, and validates reversal sequences against a configurable threshold.
A trend filter provides macro context so you can evaluate whether signals align with or oppose the broader direction.
KEY FEATURES
Reversal quality filtering via delivery threshold requirement
Sweep confirmation when reversals follow liquidity grabs at structural levels
ATR-adaptive origin zones marking reversal starting points
Trend alignment indicator comparing signal bias to moving average direction
Volume validation filter for participation confirmation
Real-time dashboard with signal statistics and alignment status
DETAILED BREAKDOWN
Structural Level Tracking
The indicator identifies pivot highs and lows based on the Structure Lookback parameter. These pivots serve as reference levels where liquidity typically accumulates. Levels remain active until price interacts with them or they exceed the Level Lifespan setting.
When the price reaches a structural level, this interaction is logged. If a reversal then forms in the opposite direction within the Sweep Window, the signal qualifies as sweep-confirmed, indicating that stops were likely triggered before the move reversed.
FTR Detection Logic
The core detection looks for a specific sequence: a directional attempt that fails to follow through, followed by a counter-move that meets the Delivery Threshold ratio. This ratio measures the quality of the reversal relative to the failed move's structure.
Higher threshold values (closer to 1.0) require cleaner, more convincing reversals. Lower values (closer to 0.1) allow weaker setups through. The default of 0.7 provides reasonable filtering without being overly restrictive.
Trend Context Filter
A moving average (EMA or SMA, configurable period) provides simple trend context. The dashboard displays three related metrics:
Trend: Current price position relative to the MA (Bullish/Bearish)
FTR Bias: Direction of the most recent confirmed signal (Long/Short)
Aligned: Whether these two readings match (Yes/No)
This helps identify situations where the FTR bias has become stale or is positioned against the prevailing trend.
Signal Classification
Standard signals appear as small triangles and represent FTR patterns that passed the delivery threshold and any active filters.
Sweep-confirmed signals appear with an "S" label and represent the subset of signals where price swept a structural level shortly before the reversal formed. These carry higher conviction due to the additional liquidity context.
Dashboard Metrics
The information panel provides:
Current trend direction and FTR bias
Alignment status between the two
Bars elapsed since the last signal
Running totals for long and short signals
Sweep-confirmed counts in parentheses
Volume filter status
Configuration Parameters
Structure Lookback: Bars used for pivot detection. Higher values capture more significant swings.
Delivery Threshold: Minimum ratio for valid reversals. Range 0.1 to 1.0.
Level Lifespan: The maximum bars a structural level remains active.
Sweep Window: Lookback period for sweep confirmation.
Trend MA Period: Moving average length for trend context.
Volume Spike Multiple: Required volume ratio when volume filter is active.
Zone Depth: Origin zone width as ATR multiple.
Practical Application
Sweep-confirmed signals with trend alignment represent the highest-conviction setups. These combine a quality reversal pattern, liquidity sweep context, and trend support.
Standard signals without sweep confirmation remain valid FTR patterns but warrant additional discretion.
Counter-trend signals (Aligned showing NO) can still produce valid moves, but historically carry lower probability. Consider position sizing adjustments accordingly.
Origin zones serve as potential support/resistance areas for subsequent price returns.
Important Limitations
The indicator may remain biased in the wrong direction during extended trends if no qualifying reversal pattern forms. The trend filter helps identify these situations, but does not automatically override the FTR bias.
Signal counts are calculated on visible chart history and will vary based on the loaded timeframe and bar count.
As with any technical tool, signals should be evaluated within the broader market context rather than traded mechanically.
Hope you find it useful! If you have any questions, please don't hesitate to ask them!
