NVentures Liquidity Radar ProInstitutional Liquidity Radar Pro
OVERVIEW
This indicator combines three institutional trading concepts into a unified confluence scoring system: Liquidity Zones (swing-based), Order Blocks, and Fair Value Gaps. The unique value lies not in these individual concepts, but in HOW they interact through the confluence scoring algorithm to filter high-probability zones.
HOW THE CONFLUENCE SCORING WORKS
The core innovation is the calcConfluence() function that assigns a numerical score to each detected level:
1. Base Score: Every swing pivot starts with score = 1
2. Zone Overlap Detection: The algorithm iterates through all active zones within confDist * ATR proximity. Each overlapping zone adds +1 to the score
3. Order Block Proximity: If an Order Block's midpoint (top + bottom) / 2 falls within the confluence distance, +1 is added
4. HTF Validation: Using request.security(), the indicator fetches higher timeframe swing pivots. If the current zone aligns with an HTF swing within 2 * confDist * ATR_htf, a +2 bonus is awarded
Zones scoring 4+ are highlighted as high confluence - these represent areas where multiple institutional concepts converge.
HOW LIQUIDITY ZONES ARE CALCULATED
Detection: ta.pivothigh() and ta.pivotlow() with configurable lookback (default: 5 bars left/right)
Zone Width - Three modes available:
- ATR Dynamic: ATR(14) * multiplier (default 0.25)
- Fixed %: close * (percentage / 100)
- Wick Based: max(upperWick, lowerWick) * 1.5
Proximity Filter: isTooClose() prevents clustering by enforcing minimum ATR * minATRdist between zones
HOW ORDER BLOCKS ARE DETECTED
The detectBullishOB() / detectBearishOB() functions identify the last opposing candle before an impulse move:
1. Check if candle is opposing direction (bearish before bullish impulse, vice versa)
2. Validate consecutive candles in impulse direction (configurable, default: 3)
3. Volume confirmation: volume >= volMA * volMult (using 50-period SMA)
4. Minimum move validation: abs(close - close ) > ATR
This filters out weak OBs and focuses on those with institutional volume footprints.
HOW FAIR VALUE GAPS ARE DETECTED
FVGs represent price imbalances:
- Bullish FVG: low - high > ATR * fvgMinSize
- Bearish FVG: low - high > ATR * fvgMinSize
The ATR-relative sizing ensures gaps are significant relative to current volatility.
HOW SWEEP DETECTION WORKS
The checkSweep() function identifies false breakouts through wick analysis:
1. Calculate wick percentage: upperWick / totalRange or lowerWick / totalRange
2. Sweep conditions for resistance: high > zone.upper AND close < zone.price AND wickPct >= threshold
3. Sweep conditions for support: low < zone.lower AND close > zone.price AND wickPct >= threshold
A sweep indicates liquidity was grabbed without genuine continuation - often preceding reversals.
HOW FRESHNESS DECAY WORKS
The calcFreshness() function implements linear decay:
freshness = 1.0 - (age / decayBars)
freshness = max(freshness, minFresh)
This ensures old, tested zones fade visually while fresh zones remain prominent.
WHY THESE COMPONENTS WORK TOGETHER
The synergy is based on the principle that institutional activity leaves multiple footprints:
- Swing Pivots = where retail stops cluster
- Order Blocks = where institutions entered
- FVGs = where aggressive institutional orders created imbalances
- HTF Alignment = where higher timeframe participants are active
When these footprints converge at the same price level (high confluence score), the probability of significant price reaction increases.
CONFIGURATION
- Swing Detection Length: 5-8 for intraday, 8-15 for swing trading
- HTF Timeframe: One level above trading TF (e.g., D for H4)
- Min Confluence to Display: 2 for comprehensive view, 3-4 for high-probability only
- FVGs: Disabled by default for cleaner charts
STATISTICS PANEL
Displays: Active resistance/support zones, high confluence count, swept zones, active OBs, active FVGs, current ATR, selected HTF.
ALERTS
- Price approaching high confluence zone
- Liquidity sweep detected
- Bullish/Bearish Order Block formed
- Bullish/Bearish FVG detected
TECHNICAL NOTES
- Uses User-Defined Types (UDTs) for clean data structure management
- Respects Pine Script drawing limits (500 boxes/labels/lines)
- All calculations are ATR-normalized for cross-market compatibility
Phân tích Xu hướng
Institutional Volatility Expansion & Liquidity Thresholds (IVEL)Overview
The IVEL Engine is an institutional-grade volatility modeling tool designed to identify the mathematical boundaries of price delivery. Unlike retail oscillators that use fixed scales, this script utilizes dynamic ATR-based multiples to map Institutional Premium and Discount zones in real-time.
How to Use
To maximize the effectiveness of the IVEL Engine, traders should focus on Price Delivery at the extreme thresholds:
Identifying Institutional Premium (Short Setup) : When price expands into the Upper Red Zone, it has reached a mathematical exhaustion point. Seek short-side entries when price shows signs of rejection from this level back toward the Fair Value Baseline.
Identifying Institutional Discount (Long Setup) : When price reaches the Lower Green Zone, it is considered "cheap" by institutional algorithms. Look for long-side absorption or accumulation patterns within this zone.
Mean Reversion Targets: The Fair Value Baseline (Center Line) acts as the primary magnetic target. Successful trades taken at the outer thresholds should use the baseline as the first objective for profit-taking.
Alerts & Execution Strategy
The IVEL Engine is designed for automated monitoring so you don't have to watch the screen 24/7. To set up your execution workflow:
Set the Alert : Right-click the indicator and select "Add Alert." Set the condition to "Price Crossing Institutional Premium" (Upper Red) or "Price Crossing Institutional Discount" (Lower Green).
Wait for the Hit : Do not market-enter as soon as the alert fires. The alert tells you price has entered a High-Probability Liquidity Zone.
Confirm the Rejection : Once alerted, drop down to a lower timeframe (e.g., 5m or 15m) and look for a "Shift in Market Structure" or an SMT Divergence.
Execute : Enter once the rejection is confirmed, targeting the Fair Value Baseline as your primary TP1.
Methodology
The script anchors to an EMA-based baseline and projects expansion bands that adapt to current market conditions.
Value Area : The blue inner region where the majority of trading volume occurs.
Liquidity Exhaustion : The red and green outer regions where the probability of "Smart Money" reversal is highest.
Professional Price Action AnalysisProfessional Price Action Analysis - Advanced S/R & Pattern Detection
A comprehensive technical analysis tool combining dynamic support/resistance zones, candlestick pattern recognition, trend analysis, and volume insights.
KEY FEATURES:
✓ Dynamic Support & Resistance Zones
- Automatically identifies swing highs/lows
- Classifies levels based on current price position
- Support zones display BELOW price (green)
- Resistance zones display ABOVE price (red)
- Adjustable zone thickness and lookback period
✓ Candlestick Pattern Detection
- Bullish/Bearish Engulfing patterns
- Pin bars (reversal signals)
- Inside bars (consolidation)
- Rejection candles (wick analysis)
- Visual markers on chart with labels
✓ Trend Analysis
- Customizable moving average (default 50-period SMA)
- Background color zones for trend direction
- Price vs MA percentage calculation
- Bullish/Bearish/Neutral classification
✓ Volume Analysis
- Volume spike detection (configurable multiplier)
- Highlights unusual volume with bar colors
- Helps identify institutional activity
✓ Information Dashboard
- Clean, readable display (top-right corner)
- Current trend status
- Distance to nearest support/resistance
- Volume status (High/Normal)
- Price deviation from moving average
✓ Alert System
- Alerts for all candlestick patterns
- Volume spike notifications
- Customizable alert conditions
CUSTOMIZABLE INPUTS:
• Swing detection length (3-50 bars)
• S/R lookback period (20-200 bars)
• Zone thickness percentage
• Maximum zones displayed
• Trend MA length
• Volume spike multiplier
• Toggle individual pattern types
BEST FOR:
- Swing traders identifying key levels
- Day traders spotting reversal patterns
- Price action enthusiasts
- Multi-timeframe analysis
This indicator does not repaint. All signals are confirmed after candle close. Suitable for all markets: stocks, forex, crypto, commodities.
Educational tool for technical analysis. Not financial advice.
Trailing Stoploss % BasedA minimalistic trend-following indicator that plots a single trailing line based on a user-defined percentage using price highs and lows.
The line:
Trails price in trends
Moves only in the direction of the trend
Flattens when price is not making new highs or lows
Acts as support in uptrends and resistance in downtrends
Useful on all instruments and all timeframes for clean trend tracking and trailing stop management.
ULTIMATE Multi-TF Previous CloseULTIMATE Multi-TF Previous Close displays previous close levels across multiple timeframes in one simple, non-repainting indicator.
These levels often act as key decision points, providing natural support, resistance, and directional bias.
Ideal for day traders, swing traders, and scalpers who want higher-timeframe context without clutter.
Features include:
Yearly → 5-minute timeframe coverage
Right-extended horizontal levels
Optional labels with exact prices
Tick-accurate rounding
Designed for clarity. Built for precision.
Regression Slope Oscillator [BigBeluga]🔵 OVERVIEW
The Regression Slope Oscillator is a trend–momentum tool that applies multiple linear regression slope calculations over different lookback ranges, then averages them into a single oscillator line. This design helps traders visualize when price is extending beyond typical regression behavior, as well as when momentum is shifting up or down.
🔵 CONCEPTS
Regression Slope – Measures the steepness and direction of price trends over a selected length.
f_log_regression(src, length) =>
float sumX = 0.0
float sumY = 0.0
float sumXSqr = 0.0
float sumXY = 0.0
for i = 0 to length - 1
val = math.log(src )
per = i + 1.0
sumX += per
sumY += val
sumXSqr += per * per
sumXY += val * per
slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX)
slope*-1
Multi–Sample Averaging – Instead of relying on one regression slope, the indicator loops through many lengths (from Min Range to Max Range with Step increments) and averages their slopes.
multiSlope(length)=>
// Get regression slope
slope = f_log_regression(close, length)
slopAvg.push(slope)
for i = minRange to maxRange by step
multiSlope(i)
Color Gradient – The oscillator and candles are colored dynamically from oversold (orange) to overbought (aqua), based on slope extremes observed within the user–defined Color Range.
Trend Oscillation – When the oscillator rises, price trend is strengthening; when it falls, momentum weakens.
🔵 FEATURES
Calculates regression slopes across a user–defined range (e.g., 10–100 with steps of 5).
Averages all sampled slopes into a single oscillator line.
Dynamic coloring of oscillator and chart candles based on slope values.
User–controlled Color Range :
High values (e.g., 50–100) → interpret as overbought vs oversold zones.
Low values (e.g., 2–5) → interpret as slope rising vs falling momentum shifts.
Dashboard table (top–right) displaying number of slope samples and current averaged slope value.
Candle coloring mode (optional) – candles take on the oscillator gradient color for at–a–glance reading of trend bias.
Signal Line (SMA) – A moving average of the slope oscillator used to identify momentum reversals.
Bullish Reversal Signal – Triggered when the oscillator crosses above the signal line while below zero, indicating downside momentum exhaustion and potential trend recovery.
Bearish Reversal Signal – Triggered when the oscillator crosses below the signal line while above zero, indicating upside momentum exhaustion and potential trend rollover.
Dual Placement Signals – Reversal signals are plotted both:
On the oscillator pane (for momentum context)
On the price chart (for execution alignment)
Confirmation Logic – Signals are only printed on confirmed bars to reduce repainting and false triggers.
🔵 HOW TO USE
Watch the oscillator cross above/below zero: signals shifts in regression slope direction.
Use the signal line crossovers near zero to identify early trend reversals.
Use high Color Range settings to identify potential overbought/oversold extremes in trend slope.
Use low Color Range settings for a faster, momentum–driven color change that tracks slope rising/falling.
Candle coloring highlights short–term trend pressure in sync with the oscillator.
Combine reversal signals with structure, support/resistance, or volume for higher–probability entries.
🔵 CONCLUSION
The Regression Slope Oscillator transforms raw regression slope data into a smooth, color–coded oscillator. By averaging across multiple regression lengths, it avoids the noise of single–range analysis while still capturing trend extensions and momentum shifts.
With the addition of signal line crossovers and confirmed reversal markers, the indicator now provides both trend context and actionable momentum signals within a single regression-based framework.
MB-MACD## Description
**MB-MACD** is a custom Pine Script indicator designed to enhance momentum analysis by combining a volume-based "Main Buy Ratio" (MB) calculation with a traditional MACD oscillator. The MB Ratio estimates institutional buying pressure by apportioning volume based on the candle's range and close position, providing a unique proxy for "smart money" flow. This smoothed MB value is then used as the source for MACD computation, allowing for divergence detection between price action, the MB line, and the MACD Histogram.
Key features include:
- **MB Line**: A histogram-style plot showing smoothed buy/sell ratio, colored bullishly (teal) or bearishly (pink) based on direction.
- **MACD Histogram**: Standard MACD applied to the MB source, with optional smoothing.
- **Divergence Detection**: Identifies bullish and bearish divergences on both the MB line and MACD Histogram, with configurable filters for momentum decay and zero-line alignment.
- **Visualization Options**: Display divergence lines and labels in the indicator pane or synced as an overlay on the main chart for better context.
- **Alerts**: Triggers for bullish or bearish divergences to notify users of potential reversal setups.
This indicator is particularly useful for swing traders and momentum followers looking to spot hidden divergences that may signal trend reversals or continuations. It emphasizes risk management by highlighting where price and momentum decouple, but remember: divergences are probabilistic signals and should be confirmed with other tools.
As this is a community-shared script, I encourage users to test it thoroughly and provide feedback. If you spot any bugs, calculation errors, or improvements (e.g., edge cases with low-volume symbols or performance issues on certain timeframes), please comment below or reach out—your input helps refine it for everyone!
## User Manual
### Introduction
The **MB-MACD** indicator integrates volume analysis with MACD to detect divergences in price and momentum. The core innovation is the "Main Buy Ratio" (MB), which approximates buying vs. selling volume within each bar based on its range and close position. This MB value is smoothed and fed into a MACD calculation, enabling divergence scans on both the MB line and the resulting MACD Histogram.
Divergences occur when price makes higher highs/lower lows, but the oscillator (MB or Histogram) fails to confirm—often signaling potential reversals. The script offers flexible display options, filters to reduce false positives, and alerts for real-time notifications.
**Important Notes:**
- This is not financial advice; use it for educational purposes and backtest on your symbols/timeframes.
- Works best on liquid stocks or indices with reliable volume data (e.g., daily or higher timeframes).
- Performance may vary on low-volume assets or during after-hours trading.
- If you encounter issues (e.g., no divergences detected or rendering errors), check your chart settings and report them in the comments for community debugging.
### Inputs Explanation
The inputs are grouped for ease of configuration. Adjust them via the indicator's settings panel in TradingView.
#### Core Parameters
- **Show MB Line** (Default: True): Enables/disables the MB Ratio histogram plot.
- **Show MACD Histogram** (Default: True): Enables/disables the MACD line and histogram plots.
- **MB Smoothing (SMA)** (Default: 10, Min: 1): Length for smoothing the raw MB Ratio using a Simple Moving Average (SMA). Higher values reduce noise but may lag.
- **Pivot Lookback Length** (Default: 5, Min: 2): Bars to look back/forward for detecting price pivots (highs/lows) used in divergence logic.
- **Max Lines Kept** (Default: 100, Min: 10): Limits the number of divergence lines/labels to prevent chart clutter.
#### Display Settings
- **Show Lines (Indicator Pane)** (Default: True): Draws divergence lines on the MB line in the indicator pane.
- **Show Labels (Indicator Pane)** (Default: True): Adds labels (e.g., "L" for line divergence) at divergence points in the pane.
- **Show Hist Divergence Lines** (Default: True): Draws dashed lines for MACD Histogram divergences in the pane.
- **Show Hist Divergence Labels** (Default: True): Adds labels (e.g., "H" for histogram divergence) in the pane.
- **Sync Lines to Main Chart (Overlay)** (Default: True): Mirrors divergence lines and labels onto the main price chart for context (slightly offset for visibility).
#### Filters & Tolerance
- **Peak Alignment Tolerance (Bars)** (Default: 5, Min: 0): Allows flexibility in matching oscillator peaks/valleys to price pivots (e.g., within ±5 bars).
- **Max Divergence Distance (Bars)** (Default: 20, Min: 5): Maximum bars between two pivots for a valid divergence; prevents detecting overly distant signals.
- **Enable Momentum Decay Filter** (Default: True): For Histogram divergences, requires the current peak/valley to have a smaller absolute value than the previous (indicating convergence/decay).
- **Enable Zero-Side Filter** (Default: False): Ensures both peaks/valleys in a divergence are on the same side of the zero line (e.g., both positive or both negative).
#### MACD Settings
- **MACD Fast Length** (Default: 12): Fast EMA length for MACD.
- **MACD Slow Length** (Default: 26): Slow EMA length for MACD.
- **MACD Signal Length** (Default: 9): Smoothing length for the MACD signal line.
- **MACD Source Smoothing** (Default: 3, Min: 1): Additional SMA smoothing applied to the MB Ratio before MACD calculation.
### How It Works
1. **MB Ratio Calculation**: For each bar, the script computes the position of the close within the high-low range (0-1). This scales the volume into "buy" and "sell" portions, then derives a net ratio (-100% to +100%). It's smoothed via SMA for the final MB line.
2. **MACD Application**: The (optionally smoothed) raw MB is used as the MACD source, producing a MACD line, signal line, and histogram.
3. **Pivot Detection**: Uses Pine's `ta.pivothigh`/`ta.pivotlow` to find price highs/lows over the lookback period.
4. **Divergence Scanning**:
- **Bearish (on Highs)**: Price makes a higher high, but MB/Hist makes a lower high.
- **Bullish (on Lows)**: Price makes a lower low, but MB/Hist makes a higher low (closer to zero).
- Scans nearby bars for oscillator matches and applies filters.
5. **Rendering**: Lines/labels are drawn in the indicator pane or overlaid on the chart. Colors: Teal for bullish, Pink/Maroon for bearish.
6. **Cleanup**: Automatically removes old lines/labels to stay under the max limit.
### Interpreting the Outputs
- **MB Line (Columns)**: Positive (teal) indicates net buying pressure; negative (pink) shows selling. Watch for crossovers above/below zero as momentum shifts.
- **MACD Histogram (Area)**: Green/teal for positive momentum; red/maroon for negative. Widening bars suggest strengthening trends; narrowing indicates weakening.
- **Divergence Lines/Labels**:
- Solid lines: MB line divergences (thicker, labeled "L").
- Dashed lines: Histogram divergences (thinner, labeled "H").
- Bullish: Teal lines sloping up (potential bottom reversal).
- Bearish: Pink lines sloping down (potential top reversal).
- **Overlay on Chart**: Lines connect price pivots (or offset slightly for Histogram). Use this to visualize how divergences align with candlesticks.
- **Zero Line**: Gray horizontal line; divergences filtered by side if enabled.
**Example Usage**:
- On a daily stock chart, enable overlays and watch for a bullish "L" or "H" label near a price low—could signal a buy if confirmed by volume breakout.
- In a downtrend, bearish divergences on highs might warn of further downside.
### Alerts
- **Bullish Divergence (L or H)**: Triggers on any detected bullish divergence (MB or Histogram).
- **Bearish Divergence (L or H)**: Triggers on bearish divergences.
- Set up via TradingView's alert menu: Select the indicator, choose the condition, and customize the message (e.g., includes ticker).
### Troubleshooting / Known Issues
- **No Divergences Shown**: Increase "Peak Alignment Tolerance" or reduce filters. Ensure pivot length suits your timeframe (shorter for intraday).
- **Too Many Lines/Labels**: Lower "Max Lines Kept" or increase "Max Divergence Distance" to filter distant signals.
- **Performance on Low-Volume Symbols**: MB Ratio may be unreliable; test on high-volume assets first.
- **Rendering Errors**: If lines don't appear, check chart zoom or ensure "force_overlay=true" isn't conflicting with other indicators.
- **NaN/Undefined Values**: Rare on live data but possible in historical backtests; report with symbol/timeframe for fixes.
### Feedback and Contributions
This script is open for community improvement! If you find bugs (e.g., false positives in divergences, calculation edge cases, or UI glitches), or have suggestions (like additional filters or visualizations), please share in the comments. Your feedback helps make it better—let's debug and enhance it together!
RS Score (1-100) vs NQ/ES/YM - TP# RS Score (1–100) vs NQ/ES/YM — How to Use & Interpret
## What this indicator is doing
It gives you a **single score from 1 to 100** that tells you whether a stock is acting like a **leader** or a **laggard** compared to the **overall U.S. market** (Nasdaq + S&P + Dow), using about **1 year of data**.
---
## The core idea: “Is this stock beating the market?”
This script compares your stock to a blended benchmark of:
* **Nasdaq futures (NQ)**
* **S&P futures (ES)**
* **Dow futures (YM)**
### Why that matters
A stock can be going up, but if the market is going up faster, the stock is **not a leader**.
This tool answers:
* “Is this stock outperforming the big market?”
* “Is it doing it consistently, or is it just wild and noisy?”
---
## What the 1–100 score means
Think of **50** as the “middle line.”
### The most important rule
* **Above 50 = outperforming the market blend**
* **Below 50 = underperforming**
* **Around 50 = roughly market-like**
### Easy interpretation bands
* **80–100 (Strong Leader):** stock is outperforming the market clearly and consistently
* **60–80 (Healthy):** generally outperforming, decent leadership
* **45–60 (Neutral-ish):** not special, close to market performance
* **30–45 (Weak):** lagging the market
* **1–30 (Very Weak):** strong underperformance
**Think “leaders live above 50,” and “real leaders tend to stay 70+.”**
---
## Why this score is “smarter” than just comparing returns
This script doesn’t just ask *“did it outperform?”*
It also asks *“did it outperform in a clean, steady way?”*
So it penalizes:
* choppy, unstable performance
* “one lucky spike” moves
That’s why it’s great for finding **higher-quality leadership**.
---
## Timeframe consistency: why it works on Daily, Weekly, Monthly
You added **Lock to last completed Daily bar**.
That means:
* it uses the **same daily reference point** no matter what chart timeframe you switch to
* your RS score won’t “walk around” just because the current day/week/month is still forming
**Practical meaning:**
If your score says 72, it should be 72 whether you’re looking at Daily, Weekly, or Monthly (as of the last completed day).
---
## The “RS New High” marker (NH) — what it’s telling you
The marker shows when your RS score hits a **new high** over your chosen lookback period (default ~252 trading days).
### In plain terms:
> “This stock is now showing its strongest relative performance vs the market (in about a year).”
### Why it’s powerful
A lot of the best leaders:
* show RS new highs **before** price breaks out
* or show RS new highs **during** breakouts
**So NH is a “leadership confirmation” signal.**
### How to use NH in real life
* **Best case:** RS hits a new high **while price is near breakout levels**
→ this often means institutions are accumulating and the stock is acting like a leader
* **Okay case:** price makes new highs but RS does not
→ stock is rising, but it’s not leading (could still work, but less attractive)
---
## Divergences: when RS and price disagree
This is one of the most useful ways to use RS.
### Bearish divergence (warning)
**Price makes a higher high, but RS makes a lower high.**
In simple terms:
> “The stock is still going up, but it’s losing leadership versus the market.”
This often shows up before:
* pullbacks
* breakout failures
* trend weakening
* rotation into stronger names
**It’s a caution sign, not an automatic sell.**
### Bullish divergence (early strength)
**Price makes a lower low, but RS makes a higher low.**
In simple terms:
> “The stock is holding up better than the market — strength is building underneath.”
This can happen before:
* reversals
* strong bounce setups
* early leadership emergence
---
## How to use this indicator in a simple trading workflow
### 1) Screening (finding leaders)
When scanning charts:
* Prefer stocks **above 50**
* Strong candidates are typically **70+**
* Bonus points if you see **NH markers** recently
**Quick rule:**
If RS < 50, it’s usually not worth your time unless you’re hunting deep value turnarounds.
---
### 2) Breakouts (confirming quality)
When a stock is near a breakout point:
* You want RS to be **rising**
* Ideally RS is near highs or prints **NH**
If price breaks out but RS is weak:
* it’s more likely to be a “meh breakout”
* sometimes it works, but it’s less “leader-like”
---
### 3) Managing positions (leadership health check)
If you’re already holding:
* RS staying high and rising = healthy leadership
* RS rolling over while price still rises = **possible early warning**
* RS plunging under 50 = the stock is now **lagging the market** (big red flag)
---
## Common “mistakes” and how to avoid them
### Mistake 1: Thinking RS > 50 means “guaranteed winner”
No — it means it’s acting **stronger than the market**, but price action still matters.
Use it with:
* trend structure
* volume/accumulation
* breakout levels
### Mistake 2: Overreacting to one divergence
One divergence is a warning.
You want confirmation like:
* failed breakout
* heavy sell volume
* loss of key moving averages
* repeated RS lower highs
### Mistake 3: Comparing RS values across totally different markets without context
RS works best when:
* comparing stocks within the same broad market environment
* keeping the same benchmark blend and same lookback
---
## Simple cheat sheet
* **RS > 50:** outperforming market (good)
* **RS 70–100:** leader zone
* **NH marker:** strongest relative strength in lookback window (leadership confirmation)
* **Price HH + RS LH:** bearish divergence (leadership weakening)
* **Price LL + RS HL:** bullish divergence (strength building)
Thank you!
Multi-Factor ConsensusMFC (Market Field Coherence)
A Triumph of Complexity: The Fusion of Three Professional Engines to Visualize the Unified
Mind of the Market
█ OVERVIEW: BEYOND THE INDICATOR
This is not another lagging indicator. This is a command suite.
MFC (Market Field Coherence) is not a single tool, but a seamless integration of three professional-grade, independent analytical engines fused into a singular, awe-inspiring system. It's a masterwork of signal processing and applied mathematics designed to visualize the invisible—the collective, underlying state of the market.
It moves beyond the simplistic analysis of individual price bars to measure something far more profound: the degree of emergent coherence across an entire ensemble of market oscillators. While traditional tools see the market as a series of disconnected data points, MFC sees it as a dynamic, fluctuating field of forces. By deploying its three specialized engines, MFC identifies moments of critical transition when disparate, chaotic market inputs converge into a single, unified, and tradable state of being. It measures the very instant the "noise" becomes a "symphony," and generates signals only when all three engines are in unanimous agreement.
█ A TRINITY OF SYSTEMS: THREE INDICATORS IN ONE
MFC's unparalleled precision comes from its unique tripartite architecture. It is not a monolithic tool. It is a fusion of three distinct, professional-grade analytical engines, each performing a critical and independent function. Their synergy is what produces the high-quality, filtered signals and the profound analytical clarity.
ENGINE 1: The Quantum Coherence Engine
The heart of the system. This is a pure regime-detection indicator. Its sole purpose is to perform the heavy lifting of converting the oscillator ensemble into complex-plane phasors and calculating the two most critical metrics: the Coherence Index (CI) and the Dominant Phase . It constantly works to answer the primary question: " How unified is the market, and in which direction is it leaning? "
ENGINE 2: The Multi-Layer Confirmation Matrix
A high CI from the first engine is not enough. This second, independent engine acts as the ultimate quality filter. It is, in essence, a sophisticated confirmation indicator that runs two rigorous, non-negotiable checks: the Phase-Lock Detector (is the alignment tight enough?) and the Pairwise Entanglement Web (is the alignment broad-based and not a fluke?). This is a purely logical system designed to reject ambiguity, eliminate false positives, and validate the findings of the Coherence Engine. It answers the crucial follow-up question: " Is this detected coherence real, or is it a statistical ghost? "
ENGINE 3: The Advanced Visualization Suite
Raw data is meaningless without interpretation. This third engine is a full-fledged visual indicator in its own right, dedicated to translating the abstract mathematics from the other two engines into an intuitive, multi-dimensional language. Featuring the revolutionary Circular Orbit Plot , the atmospheric Quantum Field Cloud , and deep-dive analytical grids, it allows you to see the market's state in a way that numbers alone never could. It answers the final question: " What does this confirmed state of coherence actually look like? "
An Ignition Signal only fires when all three of these independent systems reach a unanimous conclusion. This is the source of MFC's power and precision.
█ THE PHILOSOPHY & THEORETICAL FOUNDATION
MFC is built upon a synthesis of advanced mathematical frameworks, each chosen for its unique ability to extract a deeper layer of truth from market data. Their combination across the three engines creates a system far greater than the sum of its parts.
1. The Kernel: Gaussian-Weighted Smoothing for Intelligent Lag Reduction
Simple and Exponential Moving Averages are primitive tools. MFC's engines reject them. We employ a Gaussian Kernel for all internal smoothing. This "bell curve" weighting assigns the most significance to the most recent data, gracefully decaying influence for older data. The result is a beautifully smooth yet highly responsive measure of coherence, fundamentally reducing the lag that plagues other systems.
The formula for the weight w at a distance i from the center μ is:
w(i) = exp(- (i - μ)² / (2 * σ²))
2. The Lens: Sigmoid Normalization for Non-Linear State Definition
To compare an RSI of 80 to a MACD of 0.5, MFC utilizes the robust and mathematically elegant Sigmoid (Logistic) Function. Its non-linear, "S-shaped" curve squashes any input into a perfect, bounded range, creating extreme sensitivity near the neutral midpoint and gracefully compressing values at the extremes. This provides a crystal-clear distinction between "weak," "strong," and "extreme" conditions.
f(x) = 1 / (1 + exp(-k * x))
3. The Engine: Complex-Plane Phasors for Coherence Measurement
This is the heart of Engine 1. Each normalized oscillator is transformed from a single scalar value into a two-dimensional vector (a phasor) in the complex plane, capturing its magnitude (strength) and its phase angle (position and velocity).
Resultant Vector (R) = Σ e^(iφₙ) = Σ cos(φₙ) + i·Σ sin(φₙ)
The Coherence Index (CI) is the magnitude of this resultant vector, normalized by the number of oscillators N:
CI = |R| / N
This mathematical blending— Gaussian smoothing for clean data, Sigmoid normalization to define state, and Complex-Plane Analysis to measure collective coherence—is what allows MFC to generate insight that is simply impossible to achieve with conventional tools.
█ THE INPUTS MENU: YOUR COMMAND & CONTROL
Every parameter is exposed, allowing you to fine-tune MFC's three engines to any instrument, timeframe, or trading style. Here is an exhaustive guide:
Oscillator Settings (Engine 1)
Enable/Disable Toggles & Lengths: Construct the perfect ensemble for your market. Shorter lengths for scalping (e.g., 5m chart), longer lengths for swing trading (e.g., 4H chart). Disable any oscillator that consistently acts as an outlier to reduce noise.
Normalization Anchors: Define the "extreme" boundaries for the Sigmoid function. Widen these anchors (e.g., RSI 80/20) for highly volatile assets to better capture the larger price swings.
Coherence & Confirmation Settings (Engines 1 & 2)
CI Smoothing Window: Controls the Gaussian Kernel for the final Coherence Index. A short window (2-4) offers a fast reaction for scalpers. A longer window (5-10) creates a smoother CI line for swing traders.
Ignition Threshold: The CI level needed to activate a signal check. A lower threshold (0.70) generates more signals. A higher threshold (0.85) produces fewer, but extremely high-conviction signals.
Phase Lock Tolerance & Min Entangled Pairs: These are the core parameters for the Confirmation Engine (Engine 2). Use tighter tolerances (e.g., 25°) and a higher number of pairs (e.g., 5+) to demand an incredibly high standard for signal confirmation.
█ THE DASHBOARD: YOUR QUANTITATIVE READOUT
The dashboard provides a real-time, numerical dissection of the market field, summarizing the outputs of all three engines.
CI (Coherence Index): What it is: The master metric from Engine 1. How to interpret: < 40% (Chaos): The market is disjointed. 40-70% (Coherent): A regime is forming. > 70% (Ignition Zone): High consensus.
Dom Phase (Dominant Phase): What it is: The "average" direction from Engine 1. How to interpret: The arrow gives the immediate directional bias.
Field Strength: What it is: CI × Average Amplitude . How to interpret: Measures alignment with conviction. A high Field Strength is the signature of a powerful, aggressive trend.
Entangled Pairs & Phase Lock: What they are: The direct readouts from the Confirmation Engine (Engine 2). How to interpret: The 🔒 symbol and a high pair count are the final "green lights" before a signal can be generated.
State: What it is: A real-time classification of the market's condition based on the combined output of all engines. How to interpret:
🚀 IGNITION: All three engines are in unanimous, bullish/bearish agreement.
⚡ COHERENT: The trend is healthy and coherence is stable.
💥 COLLAPSE: The regime's integrity is compromised.
🌀 CHAOS: The market is unpredictable.
Collapse Risk: What it is: A 0-100% gauge measuring the rate of recent CI decay. How to interpret: A leading indicator for trend exhaustion. A value rising above 50% is a powerful signal to tighten stops.
█ THE VISUALS: THE ART OF ANALYSIS (ENGINE 3)
The Visualization Suite (Engine 3) translates the complex calculations into an intuitive visual language. Learning to read these displays is like learning to see the market in a new dimension.
The Circular Orbit Plot: The soul of MFC. A polar grid showing each oscillator as a labeled vector.
Angle = Phase, Length = Amplitude. Watch for Convergence: when scattered vectors cluster into a single quadrant, you are witnessing the birth of a new regime in real-time.
The Quantum Field Cloud: An atmospheric overlay on the price chart.
Color = Dominant Phase ( Green for bullish, Red for bearish). Opacity = Coherence Index . A dense, opaque cloud signifies an extremely strong, coherent regime.
The Entanglement Web Matrix & Phase-Time Heat Map: Deep-dive analytical tools. Use the Web to diagnose the quality and breadth of coherence. Use the Heat Map to identify historical patterns and pivotal moments of unified market phase.
█ THE DEVELOPMENT: A QUEST FOR TRUTH
MFC was not created to be just another tool. It was engineered to solve the fundamental ambiguity of technical analysis by creating a system of checks and balances between three specialized engines. I sought to replace subjective interpretation with objective, multi-stage mathematical measurement. The choice of Gaussian kernels, Sigmoid functions, and complex-plane analysis was a deliberate decision to embrace the multi-dimensional reality of market dynamics rather than simplifying it into a single, misleading number.
This is a tool for the discerning trader who understands that the market is not a random walk, but a complex, adaptive system. MFC provides a new set of senses to perceive the behavior of that system.
"The financial markets are generally unpredictable. So that one has to have different scenarios... The idea that you can actually predict what's going to happen contradicts my way of looking at the market."
— George Soros
MFC does not predict. It measures . Its three engines work in concert to provide a high-resolution image of the market's current state , allowing you to align yourself with moments of profound clarity and step aside during times of absolute chaos. Trade the coherence, not the forecast.
█ IMPORTANT WARNINGS & DISCLAIMER
This tool is designed for analytical and informational purposes. It identifies periods of high statistical confluence based on the behavior of technical oscillators. This is not a "signal" service and provides no financial advice.
RISK OF LOSS: All trading and investment activities involve substantial risk of loss. Do not trade with capital you cannot afford to lose.
NO GUARANTEE: This indicator does not guarantee profits or prevent losses. Past performance is not indicative of future results.
USE CONFIRMATION: "Ignition" markers denote a unanimous conclusion from all three internal engines, not explicit instructions to buy or sell. They should be used as one component within a comprehensive trading plan.
REGIME DEPENDENT: The effectiveness of this tool is dependent on market conditions. It performs best in markets with clear cyclical behavior.
Taking you to school. - Dskyz, Trade with probability. Trade with consensus. Trade with MFC.
All-In-One Trading Toolkit [wjdtks255]Title: All-In-One Trading Toolkit
Description: This professional toolkit integrates 5 essential indicators into one seamless interface to enhance your market analysis. It provides a comprehensive view of trend, momentum, and volatility.
Features:
Bollinger Bands: Tracks price volatility and potential reversal zones.
Ichimoku Cloud: Visualizes long-term trend support and resistance.
RSI Dashboard: Real-time momentum monitoring in the top-right corner.
MACD Signals: Direct Buy/Sell shape indicators on the chart for instant decision making.
Volume Profile: Identifies key price levels with high trading activity.
Strategy:
Entry: Follow the MACD crossover signals (Green/Red triangles) when they align with the Ichimoku Cloud direction.
Vortex Indicator (Smoothed Version)The original tradingview vortex indicator but with smoothed as default
NY Open | Opening Drive | Close UTC Open (15m)📝 Indicator Description
This indicator highlights key institutional market timing levels on a 15-minute chart, using New York session time for precision.
It visually marks and colors candles for the most important intraday moments used by active traders:
🔹 Features
NY Open (9:30 AM ET)
- Identifies the official U.S. market open.
Opening Drive Entry (9:45 AM ET)
- Marks the end of the opening volatility window and potential directional confirmation.
NY Close (4:00 PM ET)
- Highlights the U.S. equity market close.
UTC Daily Open (7:00 PM ET / 00:00 UTC)
- Marks the start of the new UTC trading day and colors the candle teal for easy recognition.
🎯 Designed For
- Crypto traders
- Index & futures traders
- Intraday and session-based strategies
- Traders who use time-based entries and session structure
⚙️ Notes
- Built specifically for the 15-minute timeframe
- Automatically adjusts for New York daylight savings
- Works on all markets that trade through the NY session
STAX# STAX - MapleStax Candle by Candle Automation
## Overview
STAX is a trend-following indicator that automates the "MapleStax Candle by Candle (CBC)" methodology for futures and equity trading. This system uses a higher timeframe anchor trend combined with lower timeframe execution filters to identify high-probability pullback entries in the direction of the prevailing trend.
## How It Works
### 1. Anchor Trend Detection (10-Minute CBC Flip)
The core of this system is the CBC (Candle by Candle) flip logic on the anchor timeframe (default: 10 minutes):
- **Bullish Flip**: Occurs when a 10m candle closes ABOVE the high of the previous 10m candle
- **Bearish Flip**: Occurs when a 10m candle closes BELOW the low of the previous 10m candle
- Once a flip occurs, the trend remains in that direction until an opposite flip happens
The anchor trend is calculated using `request.security()` with `lookahead=barmerge.lookahead_off` and indexed historical data ` ` to ensure non-repainting behavior. This means signals will not change or disappear after they appear.
### 2. Execution Filters (Current Timeframe)
On your current chart timeframe (recommended: 3 minutes), the indicator applies two key filters:
**EMA Confirmation**:
- For LONG signals: 9-period EMA must be greater than 20-period EMA
- For SHORT signals: 9-period EMA must be less than 20-period EMA
**VWAP Filter** (Strict or Target mode):
- **Strict Mode** (default): Only shows signals when price is on the correct side of VWAP
- LONG signals only above VWAP
- SHORT signals only below VWAP
- **Target Mode**: Shows all valid signals but uses VWAP as the take profit target when price is on the "wrong" side
### 3. Entry Signal Logic
The indicator looks for pullback entries:
- **BUY Signal**: 10m trend is Bullish + EMA 9 > 20 + Current 3m candle is RED (close < open)
- Logic: Wait for a red pullback candle in a bullish trend with bullish EMA alignment
- **SELL Signal**: 10m trend is Bearish + EMA 9 < 20 + Current 3m candle is GREEN (close > open)
- Logic: Wait for a green retracement candle in a bearish trend with bearish EMA alignment
This pullback logic helps you enter after a brief counter-trend move, improving risk/reward compared to chasing breakouts.
### 4. Risk Management
**Stop Loss**: Automatically set at the previous 10-minute candle's low (for longs) or high (for shorts). This represents the last swing point that would invalidate the trend structure.
**Take Profit**:
- When aligned with VWAP: Fixed tick-based target (default: 20 ticks, adjustable)
- When counter to VWAP: Target is VWAP itself, providing a logical profit target
The indicator displays TP and SL levels visually and alerts when they are hit.
### 5. Signal Management
To prevent over-trading, the indicator includes a **cooldown period** (default: 10 bars minimum between signals). This stops signal spam in choppy conditions and forces you to wait for the market to develop before taking another trade.
### 6. Time Session Filters
Two separate trading sessions can be configured with 12-hour clock inputs:
- **Session 1**: Default 9:30 AM - 4:00 PM (New York regular hours)
- **Session 2**: Optional second session for extended hours or different time zones
Signals only appear during enabled sessions, helping you trade during liquid market hours.
## What Makes This Original
This indicator automates a specific methodology (MapleStax CBC) that combines multiple proven concepts:
1. Higher timeframe trend structure (CBC flip logic)
2. Lower timeframe execution timing (EMA filters)
3. Pullback entry strategy (counter-colored candles)
4. Volume-based target selection (VWAP integration)
5. Swing-based stop placement (previous anchor swing points)
The combination of these elements into an automated system with visual feedback and alert functionality is what provides value beyond using these indicators separately.
## How to Use
1. **Choose Your Timeframes**:
- Anchor timeframe: 10 minutes (adjustable) for trend direction
- Execution timeframe: 3-5 minutes recommended for entries
2. **Select VWAP Mode**:
- **Strict Mode**: More conservative, only trades with VWAP bias
- **Target Mode**: More aggressive, uses VWAP as profit target
3. **Configure Sessions**: Enable Session 1 and optionally Session 2 to match your trading hours
4. **Set Risk Parameters**: Adjust take profit ticks based on your instrument and risk tolerance
5. **Watch for Signals**:
- Green "BUY" label below bars = Long entry
- Red "SELL" label above bars = Short entry
- Dashed red line = Stop loss level
- Green "TP ✓" or Red "SL ✗" labels show exit points
6. **Monitor the Status Table**: The table in the top-right shows:
- Current 10m trend direction
- EMA alignment status
- VWAP position
- Active session status
- Current signal state
- Active trade information
7. **Set Alerts**: Use TradingView's alert system with the built-in alert conditions:
- BUY Signal
- SELL Signal
- Take Profit Hit
- Stop Loss Hit
## Best Practices
- **Recommended Timeframes**: 3m execution chart with 10m anchor works well for active trading
- **Instrument Selection**: Works best on liquid futures contracts (ES, NQ, CL, etc.) and major forex pairs
- **Session Trading**: Enable Session 1 for New York hours; avoid low-volume periods
- **Backtest First**: Always backtest the settings on your specific instrument before live trading
- **Use Realistic Parameters**: Default 20-tick TP is conservative; adjust based on instrument volatility
## Limitations and Warnings
**This indicator does NOT**:
- Guarantee profitable trades (past performance does not indicate future results)
- Account for slippage, commissions, or real-world execution challenges
- Work equally well in all market conditions (performs poorly in low-volume, range-bound markets)
- Replace proper risk management and position sizing
- Provide financial advice
**Repainting**: This indicator is designed to be non-repainting. Signals use indexed historical data from the anchor timeframe, meaning they will not change or disappear after they appear. However, the current bar's status will update in real-time until it closes.
**Market Conditions**: This trend-following pullback system performs best in trending markets with clear directional bias. In choppy, range-bound conditions, expect more false signals despite the cooldown filter.
**Stop Loss Execution**: The stop loss levels shown are theoretical. In fast-moving markets, actual fills may occur at worse prices due to slippage.
## Input Parameters
**Anchor Settings**:
- Anchor Timeframe: Higher timeframe for trend detection (default: 10 minutes)
**EMA Settings**:
- Fast EMA: Short-period EMA for execution bias (default: 9)
- Slow EMA: Long-period EMA for execution bias (default: 20)
**VWAP Settings**:
- Strict VWAP Filter: Toggle between strict filtering and target mode
**Signal Management**:
- Min Bars Between Signals: Cooldown period to prevent spam (default: 10 bars)
**Time Filters**:
- Session 1 & 2: Configure up to two trading sessions with start/end times in 12-hour format
**Risk Management**:
- Take Profit (Ticks): Fixed tick target when aligned with VWAP (default: 20)
**Visual Settings**:
- Show Trend Background: Background color based on 10m trend
- Show Stop Loss Lines: Display SL levels on chart
- Show EMAs: Display 9/20 EMAs on chart
- Show VWAP: Display daily VWAP on chart
## Technical Notes
- Uses Pine Script v5
- Non-repainting implementation via `request.security()` with `lookahead_off` and indexed data
- Suitable for alerts and automated trading integration
- Maximum 50 labels and 50 lines to maintain performance
- Status table updates on each bar close
## Credits
This indicator automates the MapleStax Candle by Candle methodology. The CBC flip logic and pullback entry concept are part of the MapleStax trading education system.
---
**Disclaimer**: This indicator is for educational and informational purposes only. It is not financial advice. Trading futures, forex, and equities carries substantial risk of loss. Past performance is not indicative of future results. Always trade with risk capital you can afford to lose and use proper position sizing.
Deviation Momentum For Loop | Lyro RSThe Deviation Momentum For Loop is a directional momentum tool that evaluates the persistence of price deviation from a moving average over a historical range using a custom loop-based scoring function. It quantifies relative momentum strength by comparing current deviation to previous values, assigning a net score used to assess trend bias, reversals, and volatility-adjusted strength.
Key Features
Deviation-Based Momentum: Calculates standardized deviation from a selected moving average by subtracting the MA from price and normalizing via standard deviation and a scaling constant. This standardization adjusts for volatility and creates a consistent scoring base across assets and timeframes.
Historical For-Loop Scoring: Implements a user-defined for-loop function that compares current deviation to values from earlier bars (configurable range). Each comparison adds or subtracts from a cumulative score based on whether current deviation exceeds historical ones, producing a dynamic momentum read.
Threshold-Based Signal Logic: Applies user-defined thresholds for long and short signals. If the loop score exceeds the long threshold, a bullish bias is inferred; if it drops below the short threshold, a bearish bias is indicated. These thresholds are plotted for visual clarity.
Multi-Palette Visual System:
Predefined Palettes – Choose from Classic, Mystic, Accented, or Royal schemes for bullish and bearish colors.
Custom Colors – Toggle on custom color selection to manually define bullish (UpC) and bearish (DnC) tones.
Dynamic Visuals – Oscillator line, threshold markers, background shading, bar and candle coloring are applied in real time based on trend state
.
Glow and Overlay Effects: Layered glow lines and optional bar/candle coloring reinforce signal strength and trend status directly on the chart.
Built-In Alerts: Provides alert conditions when the for-loop score crosses above or below the defined thresholds, enabling automated monitoring of trend conditions.
How It Works
MA Calculation – Applies the selected moving average to the chosen price source (e.g., close, open, high). Offers 16 moving average types including SMA, EMA, WMA, TEMA, JMA, FRAMA, ZLSMA, KAMA, and others via the LyroRS/LMAs/1 library.
Deviation Computation – Measures the deviation of price from its moving average, normalized by standard deviation and scaled by a fixed constant factor to account for volatility.
Loop Function – Iterates from user-defined indices (From → To) and compares current deviation to past deviations. Increments score for each instance where current > past, decrements when current < past. The resulting value is plotted as the primary oscillator.
Signal Logic – Long and short threshold values are configurable inputs. Crossing above the long threshold signals bullish bias; crossing below the short threshold signals bearish pressure.
Color Coding & Visual Feedback
Palette or custom colors reflect oscillator's directional state.
Additional glow lines increase signal emphasis.
Background shading highlights crossovers with mid-threshold for enhanced visibility.
Optional bar and candle coloring aligns price visualization with indicator signals.
Practical Use
Momentum Confirmation – Use a score rising above the long threshold as a potential bullish signal; falling below the short threshold may indicate bearish strength.
Volatility Normalization – Standardized deviation ensures consistency across assets of different volatility profiles.
Multi-Timeframe Adaptation – The wide selection of moving averages and loop depth settings allows calibration for scalping, swing, or long-term analysis.
Visual Clarity – Color-coordinated candles, bars, oscillator lines, and background simplify interpretation of signal context and trend structure.
Customization
Select from 16 moving average types to control sensitivity and smoothing.
Adjust loop depth (From/To) to define how far back deviation is compared.
Set custom threshold levels to reflect your preferred sensitivity to momentum shifts.
Customize visuals with predefined palettes or manual color settings for full chart integration.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Magic Hour Range + Window Levels (0/50/75/100 + Extensions)This indicator plots one or more “Magic Hour” ranges (by ET hour) by drawing the hour’s high/low box, then extending an aligned post-hour analysis window for a set number of hours. Inside that window it overlays key reversion targets—0% (High), 50% (Mid), 100% (Low), optional 25%/75%—plus optional extension levels beyond the range (±25/50/75/100% and extras). All levels are clipped to the analysis window for a clean, session-by-session view of range, targets, and extensions.
Timeframe Continuity BarsTimeframe Continuity Bars is a script that is extremely simple for good reason
So please, do not remove this post because it seems 'simple'
Now that's over with. Lets dive in to understand what timeframe continuity IS and what this indicator does.
Timeframe continuity is defined by 4 or more timeframes and it is the relationship of the last price traded to those 4 opening prices. Standard timeframe continuity would be using the M,W,D,60min timeframes.
The reason we use MTF analysis is because of the truth of what price is and how it works.
Price movement is SOLELY caused due to aggressive buying / selling. Some may attempt to refute this however at the end of the day. If the price is at 100.00 it is because a buyer is willing to buy there and a seller is willing to sell there. If those market participants did not want to buy or sell at 100.00 price would go up or down to meet the more aggressive participant.
So what does this look like you may ask...
If an aggressive buyer takes the offer we will see prices go up if they were willing to pay more than the last guy who took the offer.
So price may go from 100.00 to 100.01 because you decided to invest in that stock that day at that time with a market order
This same thing occurs when every other institution creates, adds, reduces, or exits a position. They have to buy or sell and they have to either do it aggressively or do it passively by sitting on the bid / ask and waiting.
So since this is true, we know that the relationship to the opening price is extremely important. This is because if price is above it's open that means buyers were willing to take the offer and buy at higher prices. If price is below it's open it means that sellers were willing to sell at the bid and they sold at lower prices.
So any candlestick chart is simply an aggregation of this aggressive buying/selling that is taking place at all times.
By using the timeframe continuity bars indicator we can measure the distance from the current open across 4 or more timeframes.
By doing this we can identify monthly participation groups, weekly participation groups, daily participation groups, and 60min participation groups.
When all those groups align green or red this is considered full timeframe continuity. Where the monthly weekly daily 60min groups are all taking the offer and buying, or all selling at the bid!
When this aligns this is when price is for CERTAIN going in one direction.
However, It is subject to change every 60 minutes as the 60min determines if those monthly weekly daily buyers are present RIGHT NOW.
So if the 60min changes we go into direct conflict against the month/week/day groups.
If we see the 60min and day align we go into direct conflict against the month/week
if the 60min day and week are red we over-take the monthly group for control. At the time of the week day and 60 being red we have ZERO evidence of the previous monthly buyer/seller that was present.
Now that you understand a little bit about continuity.. Check it out on the chart!
P.S Here is some tips
1) it is not about just all timeframes aligning, we want to see long green / red bars!
2) The opens reset on a cyclical basis. Each day, each week, each month... When the new timeframes open we will see timeframes have the SAME open. When the opens are the same price we have LESS evidence versus having all opens seperate.
3) Investors can use the Y Q M W as their 4 timeframes to see when institutional buying is occurring [go do a case study on AMEX:GLD and AMEX:SLV weekly timeframe with these settings]
4) You need to add 4 separate indicators and change the timeframes. It is ideal to then save this layout!
5) The best way to do price analysis is using #TheStrat across all 4 timeframes instead of one timeframe with this indicator. This is soley a tool we use to show changing of control between participation groups!
Weekly Regime Filter - Trend + Momentum + Structure (MTF)A multi-timeframe weekly regime indicator that classifies market conditions into BULL , BEAR , or CHOP using three components: trend, momentum, and market structure.
Works on any timeframe while always referencing weekly data — no repainting.
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🎯 WHAT IT DOES
Answers one question: What is the weekly regime?
• Trend — EMA hierarchy (Price > EMA Fast > EMA Slow)
• Momentum — DI+ vs DI- with optional ADX filter
• Structure — Break of Structure (BOS) and Change of Character (CHOCH)
BULL = All three bullish
BEAR = All three bearish
CHOP = Mixed signals
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⚡ KEY FEATURES
• Multi-Timeframe (MTF) — View on 1H, 4H, Daily; regime stays consistent
• Auto-Detect Asset Type — Automatically applies optimized settings for Crypto, Stocks, Forex, Gold, Silver, Oil, Commodities
• BOS/CHOCH Labels — Visual market structure breaks on chart
• Live Status Panel — Shows regime, components, and active parameters
• Non-Repainting — Uses confirmed weekly closes only
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📊 ASSET PRESETS
• Crypto — EMA 50/200, ADX Off, Pivot 2
• Stocks/Indices — EMA 50/200, ADX >20, Pivot 3
• Forex — EMA 30/100, ADX >25, Pivot 2
• Gold — EMA 40/150, ADX >20, Pivot 3
• Silver — EMA 40/150, ADX >22, Pivot 3
• Oil — EMA 30/100, ADX >25, Pivot 2
• Commodities — EMA 40/120, ADX >20, Pivot 3
Select "Custom" to use your own values.
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📈 HOW TO USE
For Swing Trading:
• Set chart to Daily
• Use Auto-Detect or select preset
• Long only when BULL, short only when BEAR
• Reduce size or avoid when CHOP
Structure Signals:
• CHOCH ↑ after bear regime = Early reversal signal
• CHOCH ↓ after bull regime = Tighten stops
• BOS in regime direction = Trend continuation
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🔔 ALERTS
• Regime → BULL
• Regime → BEAR
• CHOCH → Bull
• CHOCH → Bear
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⚙️ SETTINGS
Preset: Auto-Detect, Crypto, Stocks, Forex, Gold, Silver, Oil, Commodities, Custom
Custom Settings (when Custom selected):
• EMA Fast/Slow lengths
• ADX Length & Threshold
• ADX Filter toggle
• Pivot Left/Right
Display:
• Plot Weekly EMAs
• Show BOS/CHOCH Labels
• Show Regime Background
• Background Opacity
• Show Status Label
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📝 NOTES
• Needs ~200 weeks of history for full calculation
• Weekly signals are slower by design — filters noise
• Not a standalone system — combine with entries and risk management
• When using presets, Custom input fields won't visually update (Pine limitation) — status label shows actual values
[SMC] Binet Nexus Alpha : Institutional Liquidity & Order BlocksBINET™ NEXUS ALPHA : The Institutional SMC Terminal
Overview
The BINET™ NEXUS ALPHA is a professional-grade execution terminal designed to bridge the gap between retail "Smart Money Concepts" and actual institutional data. Built on the proprietary BINET™ Core v17.5 engine, this terminal prioritizes Price Action Narrative over lagging signals.
Unlike basic SMC indicators that clutter charts with unverified boxes, the Nexus Alpha uses an Institutional Confluence Engine to filter out retail "stop-run" noise and identify high-conviction zones where big money is actually positioning.
The Narrative Engine (Visual Intelligence)
The terminal replaces abstract lines with a high-visibility geometric narrative designed for rapid scanning on 4K/high-res monitors:
█ (Solid Blue Block): Institutional Vol Spike. Represents a "Foundation Surge" where volume significantly exceeds retail averages.
◆ (Gold Diamond): Liquidity Hunt. Direct identification of price tapping into resting Order Blocks (OB) or Fair Value Gaps (FVG).
● (Blue Circle): Macro Accumulation. Alerts you to long-term institutional position building.
▲/▼ (Triangles): Market Structure Breaks. Real-time Break of Structure (BOS) tracking.
The Command HUD (Mission Control)
The terminal features a real-time Hierarchical HUD that audits every trade before you enter:
Signal Quality (Sync Score): A 0-100% confluence rating. 85%+ represents "Elite Institutional Sync."
Stop Advisor & Risk Meter: Calculates the highest-volume liquidity bin for stop placement and warns you if the Max Stop Distance (%) is exceeded.
Market Health Engine: Automatically detects the current regime (Scalp, Swing, or Position) to adjust your execution strategy.
Success Probability: A rolling trajectory of the system's performance, showing whether recent win-rates are trending up (▲) or down (▼).
Institutional Workflow
Filter: Check the Trade Bias (Long/Short) on the HUD.
Confirm: Wait for the Sync Score to cross your threshold (Default 65%).
Audit: Verify that the Risk Meter is not in "High Exposure" mode.
Execute: Target the provided TP1/TP2 levels projected on the chart.
Technical Specifications
Language: Pine Script® v6
Logic: Smart Money Concepts (SMC) + Volume Delta Analysis
Core: BINET™ v17.5 Concurrency Engine
Founder's Note
The BINET™ NEXUS ALPHA was designed for traders who demand institutional-grade transparency. It is the final piece of the BINET Suite, designed to be used alongside the Macro Sector Rotation and Trend Matrix tools for a complete Top-Down to Bottom-Up trading workflow.
Baekdoo VWAP & High-Volume Node Momentum Breakout (V6)Indicator Name: Baekdoo VWAP & High-Volume Node Momentum Breakout (V6)
Description Summary: This indicator tracks the interaction between the VWAP (Volume Weighted Average Price)—the market's "fair value"—and the High-Volume Node (Resistance) from the past 20 bars. The goal is to identify "True Breakouts" where the average entry price of all participants, not just the spot price, successfully surmounts a major supply zone.
Key Features:
Annual Cumulative VWAP: Uses a yearly-anchored VWAP to filter out daily noise on 1D charts and provide a stable trend baseline.
Volume-Based Resistance: Identifies the high of the candle with the maximum volume over 20 periods as a critical supply wall.
Institutional Volume Filter: Signals are only triggered when volume exceeds 2x the 5-day average, ensuring significant market interest.
Dual Exit Strategy: Incorporates a 1.5 ATR Trailing Stop for partial profit-taking and a 20 SMA crossunder for a full risk-off exit.
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지표 명칭: 백두 VWAP 매물대 모멘텀 돌파 전략 (V6)
설명 요약: 본 지표는 시장의 평균 합의 가격인 **VWAP(Volume Weighted Average Price)**과 최근 20일간 가장 강력한 거래가 발생한 **매물대(High Volume Node)**의 상호작용을 추적합니다. 단순히 가격이 뚫는 것이 아니라, 시장 참여자들의 평균 단가 자체가 저항선을 넘어서는 '진성 돌파'를 포착하는 데 목적이 있습니다.
주요 특징:
연간 누적 VWAP: 일봉 차트에서의 노이즈를 줄이기 위해 연간 단위로 누적된 평균 단가를 사용합니다.
매물대 저항선: 지난 20일 중 최대 거래량이 터진 봉의 고점을 저항선으로 설정하여, 악성 매물이 쏟아질 수 있는 구간을 시각화합니다.
거래량 필터: 5일 평균 거래량 대비 2배 이상의 거래가 실릴 때만 신호를 발생시켜 기관 및 세력의 개입 여부를 확인합니다.
스마트 엑싯: 1.5 ATR 트레일링 스톱을 통한 수익 보존과 20일 이평선 이탈을 통한 리스크 관리를 동시에 수행합니다.
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...
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
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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
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Short Lookback: Adjust the sensitivity of the trend detection (Default: 5).
Volume Multipliers: Adjust how strict the volume requirements are for high ratings.
