Super EMA Trio (20 50 200)Triple EMA 20/50/200. This is self-explanatory. TradingView wants me to add more text to this because it thinks people can't figure out how to use this script. I don't know why. It seems pretty dumb of them to require more text for nothing.
Indicateurs et stratégies
QWRQWR identifies when trading activity outweighs price movement, highlighting periods where market participation is strong but price remains constrained—useful for filtering setups with favorable risk-reward conditions.
Quantitative Trend and Sector DashboardQuantitative Trend and Sector Dashboard
Overview
The QTS Dashboard is a visual market context tool that summarizes relative strength, benchmark comparison, volatility normalization, and sector participation in a compact on-chart display.
It is designed for analysis and situational awareness rather than trading signals or automated decisions.
What makes it different
Most relative strength tools compare symbols only to a broad index.
This dashboard automatically assigns a relevant sector or industry benchmark based on ticker membership, enabling like-for-like comparison with similar instruments.
The result is a multi-factor view of trend participation rather than a single metric.
Core components
• Benchmark Detection
Maps symbols to sector or industry ETFs to improve comparison relevance.
• Beta Normalization (252 bars)
Beta is calculated using covariance and variance to scale thresholds according to typical volatility.
• Dual Range Tracking
Measures distance from 52-week highs and lows to show position within the yearly cycle.
• Sector Participation Scan
Evaluates major SPDR sectors and lists those currently meeting configurable strength criteria.
• ATR Extension
Quantifies price distance from midpoint using ATR to highlight statistically extended moves.
Math summary
• Relative Spread = Benchmark %BelowHigh − Symbol %BelowHigh
• Beta = Covariance / Variance
• Adjusted Threshold = Base × Beta
• Extension = (Price − Midpoint) / ATR
All calculations use confirmed bars. No intentional repaint logic.
Status states
• Leader — stronger relative performance
• Neutral — in line with benchmark
• Lagging — weaker relative performance
• Extended — large volatility stretch
States describe context only.
How to use
• Compare Spread and Beta for relative positioning
• Monitor sector list for participation breadth
• Use extension values to gauge stretch conditions
• Adjust timeframe and thresholds to match your workflow
• Show, hide, or reposition the dashboard as needed
Example charts
Disclaimer
Educational and informational only.
This indicator does not provide buy or sell signals or investment advice.
Trading involves risk.
Std Dev Zones MTFStd Dev Zones MTF Key Features Overview
• ⭐ Built using ADR10 (Average Daily Range) logic to measure volatility-based standard deviation zones from timeframe open.
• ⚙️ ADR10 STD DEV Zones Pine v6 — MTF support for Daily, H4, H8, H12 timeframes for multi-timeframe volatility analysis.
• 📦 Dynamic zones calculated from period open (Daily/H4/H8/H12) using average range = clean, objective volatility structure.
• 📊 ±0.5 SD zones = neutral territory — price within normal range from open.
• 📈 +0.75 SD & +1.0 SD = OVERBOUGHT zones — price extended above normal range, potential exhaustion or reversal area.
• 📉 -0.75 SD & -1.0 SD = OVERSOLD zones — price extended below normal range, potential exhaustion or reversal area.
• 🔥 +1.25 SD = MAX OVERBOUGHT — extreme extension above open, highest volatility threshold for exits/profit-taking.
• 🧊 -1.25 SD = MAX OVERSOLD — extreme extension below open, highest volatility threshold for exits/profit-taking.
• 🧠 Adjustable zone thickness (% of ADR10) so zones scale with market volatility — perfect for Gold, Forex, Crypto swings.
• 🎨 Color-coded zones with large labels inside each zone for instant visual clarity — no interpretation lag.
• 🧭 Zones extend throughout the trading period so you can track price behavior relative to volatility bands.
• 🟩🟪 Dual color system for upper/lower zones + descriptive labels - zero confusion on market extension.
• 🧼 Clean overlay display: zones + open line = actionable, minimal, fast volatility assessment.
• ⭐ Apply to your M15/M30/H1/H4 TradingView chart — your volatility roadmap for Gold, FX, Crypto, Indices.
• 🚀 Use for exit planning & take-profit levels at overbought/oversold extremes — NOT for standalone entry signals.
• 📦 Enable/Disable individual zone levels (±0.5, ±0.75, ±1.0, ±1.25) to customize your chart view.
• 📦 Too cluttered? Adjust "Periods to Show" or increase zone thickness % from settings.
• 🎯 How to use this? Monitor price behavior at overbought/oversold zones for potential reversals or continuations. Use Max Overbought/Oversold levels for aggressive profit-taking. Combine with your entry system for complete trade management.
• ⚠️ IMPORTANT NOTICE: This indicator is designed to measure market volatility and identify potential exit/take-profit zones. It should NOT be used as a standalone signal for entering trades. Use it in conjunction with your trading strategy to assess overbought/oversold conditions and plan exits.
NQ
GBPUSD
BTCUSD
xxmonk. Absolute FractalDescription:
Concept This indicator is a specialized Fractal Time Engine designed for high-precision scalping and swing trading (specifically optimized for NQ/Nasdaq). Unlike standard Fibonacci time zones that drift or overlap, this script creates a strictly nested "Vibration" structure across three timeframes simultaneously. It treats time as a fractal, where smaller cycles are mathematically "imprisoned" within larger cycles.
How It Works The indicator projects the Fibonacci sequence (1, 3, 5, 8, 13, 21, 34, 55, 89, 144) from a single Master Anchor, but creates a hierarchy of containment:
HTF (Higher Timeframe - Red): The Master Cycle (e.g., Daily). These are the hard walls.
MDL (Middle Timeframe - Orange): Nested strictly between HTF milestones. The count resets to "1" instantly at every HTF line and cannot exist past the next HTF line.
LTF (Lower Timeframe - Yellow): Nested strictly between MDL milestones. The count resets to "1" instantly at every MDL line.
Key Features
Strict "Prisoner" Logic: A lower timeframe cycle is physically terminated the moment it hits a higher timeframe milestone. This prevents clutter and ensures the "1" always aligns with the momentum injection of the larger trend.
The "Rigged" Anchor: The math uses an (n-1) offset, ensuring that Milestone "1" sits exactly on the anchor vertical, removing the visual drift found in standard tools.
Dynamic Visibility Engine: To solve TradingView’s 500-label limit, this script uses a smart buffer that only draws labels currently visible on your screen. This ensures that the critical early counts (1, 3, 5) are never deleted to make room for off-screen history.
Tiered Visuals: Labels are automatically stacked at different percentage heights (15%, 8%, 2%) above price to prevent overlap.
Settings & Customization
Master Anchor: Select the exact start time for the cycle.
Timeframes: Fully customizable periods for HTF, MDL, and LTF layers.
Visuals: Individual control over Color, Line Style (Solid/Dash/Dot), Thickness, and Vertical Height for each tier.
How to Use
Set the Master Start Anchor to a significant high/low or session open.
Look for "Confluence Clusters": Areas where an HTF, MDL, and LTF line all land on the same candle often indicate a high-probability reversal or "Rigged" expansion point.
Use the LTF (Yellow) counts for entry timing (1, 3, 5) inside the larger trend direction defined by the HTF (Red) walls.
Hawks NY Midnight OpenPlots the New York Midnight Open price with configurable horizontal and vertical reference lines, session-based timing, and adjustable extensions.
1D % Change (Histogram)1D % Change Histogram (Daily-Anchored)
Description
This indicator plots the 1-day percent change as a histogram above/below the zero line.
It includes 3 calculation modes:
• Last vs Prev Close: compares the latest available price to the prior daily close (useful for an “in-progress” daily change on intraday charts).
• Close vs Prev Close: classic daily close-to-close change (stable per day).
• Close vs Open: session move for the day (open-to-close).
The logic is anchored to the Daily timeframe, so you can view it on 5m/15m/1H charts while keeping a consistent “1D” reference.
How to use:
• Want a live-updating read on intraday charts? Use Last vs Prev Close.
• Want clean day-by-day comparisons? Use Close vs Prev Close.
• Want a session “push” metric? Use Close vs Open.
Notes
• Green bars when value is ≥ 0, red bars when < 0.
• Optional zero line and last-value tag.
• Can run on the chart symbol or a user-selected symbol.
Limitations
• Different data feeds may define “price” differently (last/close/settle), so values can vary across providers.
• In Last vs Prev Close mode the value updates intraday (expected behavior).
Disclaimer
This script is for educational and informational purposes only.
It is not financial advice and does not provide buy/sell signals or entry/exit recommendations.
Use at your own risk and always verify with your own data.
Retail Stop-Loss PredictorThe Psychology of Retail Stop-Loss Placement
The "Safe" Buffer Trap
Retail traders are taught to find a recent high or low and place their stop "just a few pips away" to avoid being wicked out.
The Reality: Institutions know exactly where these "buffers" are. They look for clusters of these orders to create the volume they need to fill their large positions.
The Indicator Solution: The SL Predictor automatically calculates these clusters by identifying "Pivots" and applying a Buffer Offset to show the actual zone where the "pain" is felt.
2. Detailed Description of the SL Predictor
A. Multi-Timeframe (MTF) Anchoring
The indicator doesn't just look at your current chart. It "anchors" zones from Higher Timeframes (HTF) like the 4-Hour or Daily.
Why it matters: A stop-loss cluster on a 1-minute chart is a "speed bump." A stop-loss cluster on a Daily chart is a Liquidity Ocean.
Visuals: These zones are drawn as shaded boxes that stay locked to the candle index, ensuring they don't move or repaint when you scroll.
B. Round Number "Magnet" Logic
Retailers have a psychological bias toward Round Numbers (e.g., $100.00, $1.2500).
The Feature: The script identifies these psychological levels and marks them as secondary stop-loss zones. Institutions often "front-run" these levels or sweep them entirely to trigger mass liquidations.
C. Mitigation & Clearing
Once price enters a predicted stop-loss zone, the indicator changes the color to gray or removes the label.
What this means: The "Fuel" has been used. The stops have been triggered. The market has found the liquidity it was looking for and is now ready to reverse or move to the next "pool."
3. Best Use Case: The "Liquidity Hunt" Strategy
Step 1: Identify "Engineered" Liquidity
Look for Equal Highs (Double Tops) or Equal Lows (Double Bottoms). Retailers see these as "Strong Resistance/Support" and pile their stops behind them.
The Indicator: Will highlight these areas with a Red (Short Stops) or Green (Long Stops) shaded box.
Step 2: Wait for the "Stop Run"
Do not enter a trade when price is inside the zone. Wait for price to pierce the zone and then show a sign of rejection (like a long wick).
Institutional Secret: This is the moment the "Smart Money" has finished buying from the retail sellers or selling to the retail buyers.
Step 3: Execution (The "Reverse" Entry)
Once the "Probable Stop" label disappears or the zone turns gray:
Short Entry: If price swept a Red Zone and closed back below it.
Long Entry: If price swept a Green Zone and closed back above it.
Target: The Opposite stop-loss zone. You are trading from one pool of retail "fuel" to the next.
Euro RS TrackerRelative Strength of European ETFs by Sectors, compared to each other. Timeframes from daily to yearly.
This script was copied from Amphibiantrader.
I am not a coder, so props to him. Just neeed a practical trend identifier for my favorite market.
Make Europe Great Again folks.
SMART TRADERSMART TRADER is a hybrid trend-structure indicator designed to identify high-probability market regimes and precision entry zones by combining Donchian breakout logic with Smart Money Concepts (SMC).
The indicator uses a 200-candle Donchian channel to detect major regime shifts, filtering the market into bullish or bearish environments. After a confirmed shift, SMART TRADER automatically identifies order blocks and marks Change of Character (CHOCH) events to highlight potential continuation entries with structural confirmation.
This approach helps traders avoid consolidation noise and focus only on expansion phases where trends are statistically stronger.
Key features:
• 200-candle Donchian regime detection
• Automatic order block marking after regime shifts
• CHOCH structure labeling for entry timing
• Visual trend bias overlay
• Built-in alert conditions
• Optimized for the 45-minute timeframe
SMART TRADER is built for swing and intraday traders who want a structured framework that blends trend following with price action execution.
Created by Jonathan Mwendwa Ndunge.
DSROverview A mechanical scalping strategy designed for Gold (XAUUSD) on the 5-minute timeframe. This system visually simplifies price action into clear "Go" and "Stop" signals using a color-coded flow system.
Institutional Liquidity MapInstitutional Liquidity Map: Detailed Description
The Core Phi losophy: Mapping vs. Predicting
This indicator serves as a Microstructure Navigation System. Unlike retail indicators that rely on lagged mathematical formulas (like RSI or MACD), this tool identifies the areas of high-interest where institutional orders are clustered. It focuses on the mechanics of liquidity provision and rebalancing, allowing you to see where the "Smart Money" has left a footprint.
Key Modules & Institutional Meaning
Confirmed Liquidity (BSL & SSL): These are the structural anchors. They represent "Liquidity Pools" where retail stop-losses are heavily concentrated. Institutions drive price into these zones to generate the counter-party volume needed to fill their large positions.
Institutional Order Blocks (OB): This module identifies the exact candle where accumulation or distribution occurred. It specifically looks for displacement—a move so fast and strong that it confirms institutional intent rather than retail noise.
Fair Value Gaps (FVG) / Imbalances: When price moves too rapidly, it creates a "hole" in the price action where orders weren't fully matched. The market views these as inefficiencies; price is naturally drawn back to these zones to "rebalance" before continuing the trend.
Liquidity Sweeps (Stop Runs): This identifies the "Trap." It marks instances where price wicks past a confirmed high or low to trigger stops, only to close back within the range. This is often the precursor to a massive reversal.
Best Use Case Scenarios
1. The High-Probability "Confluence Cluster"
The most powerful way to use this indicator is by looking for the overlapping of modules.
The Scenario: You see a BSL Sweep occur at a Previous Day High, immediately followed by a Bearish Order Block and a Bearish FVG.
The Strategy : Use the FVG/OB zone as your "Sell Zone." This cluster indicates that institutions have trapped buyers at the high and are now aggressively pushing price lower.
2. Re-entry via "FVG Rebalancing"
When the market is in a strong trend (like your LINK screenshot), price often leaves gaps.
The Scenario: A strong impulsive move breaks structure, leaving an active FVG box.
The Strategy: Do not chase the candle. Wait for the indicator to show price returning to fill that box. This retest of the imbalance is often the safest entry point for trend continuation.
3. Target Selection using "Liquidity Pools"
Retail traders often set arbitrary take-profit targets (e.g., 2%). Institutional traders target Liquidity.
The Scenario: You are in a Short trade.
The Strategy: Look for the nearest Confirmed SSL (Sell-Side Liquidity) line. This is your target. Price is magnetically drawn to these levels because that is where the most sell-stops are located, providing the liquidity for you to exit your short (by buying back) with minimal slippage.
4. Daily Bias Anchor (Session VWAP)
Use the Session VWAP as your "Line in the Sand."
The Strategy: If price is above VWAP, only look for Bullish Order Blocks and SSL Sweeps. If price is below VWAP, prioritize Bearish Order Blocks and BSL Sweeps. This ensures you are always trading in alignment with the institutional "Fair Value" for the day.
OU Signals Overlay2 OU SIGNALS OVERLAY
This indicator is designed to be used on the main price chart.
WHAT IT DOES
OU Signals Overlay uses the same logic as the OU Z-score indicator but does not display the Z-score itself.
Instead, it visualizes entries, exits, trade zones, and the second asset directly on the price chart.
HOW IT WORKS
• The same spread and mean-reversion logic is calculated internally
• Entry and exit signals are identical to the Z-score indicator
• The second asset is plotted as a normalized line on the main chart
• Entry points are marked with arrows
• Exit points are marked with a cross
• Trade zones are highlighted only after a position is opened
HOW TO USE
This indicator is primarily a visualization and execution tool.
It allows the trader to:
• See where exactly trades occur on the price chart
• Monitor price behavior during a spread trade
• Visually confirm that signals match the Z-score indicator
All parameters must match the OU Z-score indicator for signals to align.
RECOMMENDED TO USE WITH
• Ornstein–Uhlenbeck Z-score as the signal source
• Correlation Stability to ensure the pair remains statistically meaningful
Correlation Stability3 CORRELATION STABILITY INDICATOR
This indicator is shown as a table on the main chart.
WHAT IT DOES
It evaluates how stable the statistical relationship between two assets is over time using correlation analysis.
HOW IT WORKS
• Correlation between two assets is calculated over rolling windows
• The test is performed periodically
• Each window is marked as pass or fail depending on correlation strength
• If more than half of the tested windows pass, the pair is considered stable
The result is displayed as a simple table showing the current status of the pair.
HOW TO USE
This indicator is a filter, not a trading signal.
It helps the trader:
• Select suitable pairs for statistical arbitrage
• Avoid trading pairs where the relationship has broken down
• Improve the quality of mean-reversion signals
RECOMMENDED TO USE WITH
• Ornstein–Uhlenbeck Z-score for signal generation
• OU Signals Overlay for trade visualization
TRIGONUM STATISTICAL ARBITRAGE INDICATORS
This is a series of indicators developed by Trigonum for statistical arbitrage and pairs trading.
The core idea of the series is to trade the relationship between two assets, not the direction of a single market.
All signals are based on mean reversion of a spread between two instruments and are intended to be used with hedged positions (long one asset and short the other).
The series consists of three indicators, each serving a different purpose.
Ornstein Uhlenbeck Z score1 ORNSTEIN–UHLENBECK Z-SCORE (SPREAD)
This is the main indicator of the series and is typically placed in a separate lower panel.
WHAT IT DOES
The indicator builds a spread between two assets and evaluates how far the current spread is from its long-term equilibrium.
The result is expressed as a Z-score based on an Ornstein–Uhlenbeck type mean-reverting process.
HOW IT WORKS
• The user selects a second asset in the settings
• A spread between the two assets is calculated (price difference or log price spread)
• The spread is modeled as a mean-reverting process over a rolling window
• A Z-score is calculated to measure deviation from equilibrium
Trading signals are generated when the Z-score reaches extreme values and exits when it returns to equilibrium.
HOW TO USE
This indicator does NOT generate signals to buy or sell a single asset.
It generates signals for a paired, hedged position.
• Long signal means long the first asset and short the second
• Short signal means short the first asset and long the second
The trader is always trading the spread, not the market direction.
RECOMMENDED TO USE WITH
• OU Signals Overlay for visualizing trades on the main chart
• Correlation Stability indicator to filter weak or unstable pairs
Trend Regime JMA Bands (50-150-200)Trend Regime JMA Bands is a visual market-context indicator designed to help traders understand overall trend structure and short-term participation using adaptive Jurik Moving Average (JMA) bands.
This script separates market behavior into two distinct layers:
🔹 Structure (Slow Band)
Defines the dominant market regime using classic 50 / 150 / 200 moving-average relationships.
Helps identify bullish, bearish, and transitional environments.
Visual intensity adjusts based on market conditions for clarity.
🔹 Participation (Fast Band)
Represents short-term price engagement aligned with the prevailing structure.
Counter-trend momentum is intentionally filtered out.
Designed to highlight participation only when aligned with the broader trend.
A Choppiness Index (CHOP) calculation is used only to adjust visual confidence of the structural band.
CHOP does not affect trend direction, regime state, or calculations.
This indicator is intended for analysis and visual context only.
It does not generate trade signals, entries, exits, predictions, or recommendations.
⚠️ DISCLAIMER SECTION (REQUIRED & SAFE)
Add this as a separate paragraph in the description:
Disclaimer
This script is provided for educational and analytical purposes only.It is not financial advice. Trading involves risk, and past performance does not guarantee future results. The author assumes no responsibility for trading decisions made using this indicator.
For Loop THMA ~ CharonQuantThe For Loop THMA is a trend classification and momentum confirmation indicator designed to measure directional strength through relative price dominance, not raw crossings.
This indicator blends a Triple Hull Moving Average structure with a for-loop comparison engine and multiple trend quality filters to reduce noise and false signals.
Concept Overview
The core idea behind this indicator is simple:
Instead of asking “did price cross a line?”, it asks
“How often is the price stronger than its recent past?”
By looping over previous THMA values and comparing them to the current value, the indicator builds a directional score that reflects internal momentum and persistence.
This approach allows trends to be evaluated statistically rather than emotionally.
Indicator Components
The For Loop THMA is composed of four layers:
• Triple Hull Moving Average (THMA) as the smoothed price backbone
• For-loop counter to quantify relative dominance over a lookback window
• EMA trend filter to align signals with higher-timeframe bias
• ADX + DMI filter to ensure sufficient trend strength
Signals are only produced when all components align.
For-Loop Logic
The for-loop compares the current THMA value to its past values over a user-defined range.
Each comparison increments or decrements a counter, producing an oscillator that reflects bullish or bearish pressure.
Optional weighting can be enabled to give more importance to recent price action.
This counter becomes the primary decision engine of the indicator.
Visual Interpretation
• The oscillator displays the strength and direction of the trend
• Threshold lines define bullish and bearish regimes
• Bar coloring reflects the active trend state
• Color intensity adapts to directional confidence
Credits and Inspiration
This indicator is inspired by and builds upon:
• THMA ~ CharonQuant
• For Loop MA Indicator from CraftMan18
Development and usage notes:
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
QQQ EOD Sentiment + Flip Points (3:55 ET) - Final Fix### QQQ EOD Sentiment + Flip Points (3:55 ET) — Overnight Swing Bias Helper
This indicator is designed for **QQQ overnight holds / short swing setups** where your decision is made **near the end of the trading day** (ex: around **3:55pm Eastern**) to decide whether you want to hold **calls or puts** into the next session.
It does **one job**:
**Turn end-of-day price positioning into a simple bullish/bearish “bias score”, and show the exact price distance needed to flip that bias.**
---
## What the indicator is measuring (simple idea)
At the end of the day, you want to know:
* Did QQQ close strong relative to **yesterday’s range**?
* Did QQQ close strong relative to **yesterday’s close**?
* Did QQQ finish the day in the **upper part** of yesterday’s range (or the lower part)?
The indicator converts those answers into a **Score**, then labels the day as:
✅ **BULLISH**
✅ **BEARISH**
✅ **NEUTRAL**
---
## What you see on the chart
### 1) Key levels from the previous day
The indicator plots important reference lines from the **previous trading day**:
* **Previous Day High**
* **Previous Day Low**
* **Previous Day Midpoint (50%)**
* **Previous Day Close**
* Optional “strength lines” inside the range (based on your thresholds)
These lines help you visually understand **where today’s price is sitting** compared to the prior day.
---
### 2) A live Score + Sentiment (the “math”)
The indicator builds a score using 3 simple conditions:
**Condition A — Above/Below the 50% midpoint of yesterday**
* Above midpoint = bullish point
* Below midpoint = bearish point
**Condition B — Above/Below yesterday’s close (optional toggle)**
* Above yesterday’s close = bullish point
* Below yesterday’s close = bearish point
**Condition C — Close Location Value (CLV)**
This is just: *“Are we finishing near the top of yesterday’s range or the bottom?”*
* If price is high in the range → bullish point
* If price is low in the range → bearish point
Those points are combined into a **Score**, and once the score is high enough you get:
* **BULLISH**
* **BEARISH**
* or **NEUTRAL** if it’s mixed.
**Why this helps:**
It keeps you from guessing based on emotion into the close. You’re using a consistent checklist.
---
### 3) Flip Points (this is the best feature)
The indicator calculates:
* **How many points QQQ would need to rise to flip bullish**
* **How many points QQQ would need to drop to flip bearish**
So instead of debating “it feels bullish,” you can say:
> “If price holds above this area, bias stays bullish.”
> “If price drops X points, bias flips bearish.”
This is especially helpful into **3:55pm ET** when price is still moving.
---
### 4) Snapshot at 3:45 ET (15 minutes before close)
At **3:45pm Eastern**, the indicator stores a snapshot of:
* Score
* Sentiment
* CLV
That snapshot is saved for the day so you can compare:
* “What did the bias look like 15 minutes before close?”
* “Did price shift aggressively into the bell?”
---
### 5) Decision Label at 3:55 ET
At **3:55pm Eastern**, it prints a label on the chart showing:
* Current sentiment + score
* CLV now
* Flip points to bullish/bearish
* The 3:45 snapshot results
This makes it easy to make a consistent end-of-day decision.
---
## How to use it for a QQQ overnight swing
### My simple flow (new trader friendly)
1. Around **3:45 ET**, I check the Snapshot score/sentiment.
2. Around **3:55 ET**, I use the Decision label:
* If **BULLISH** → I’m leaning calls / bullish overnight bias
* If **BEARISH** → I’m leaning puts / bearish overnight bias
* If **NEUTRAL** → I usually avoid holding overnight unless I have another setup
3. I check the flip points:
* If price is close to flipping the other direction, I size smaller or pass.
---
## Settings you can adjust
* **Score needed for Bullish/Bearish**
Higher = stricter signals, fewer trades
Lower = more signals, more noise
* **Include Previous Day Close**
Turn ON if you want the “above/below yesterday close” rule included.
* **Bullish / Bearish CLV thresholds**
Controls what counts as “strong finish near the top/bottom of range.”
---
## When NOT to use this
* During major news events (CPI, FOMC, big earnings that impact markets)
* On extremely low volume holiday sessions
* If QQQ is inside a tight chop range and your score keeps flipping rapidly
This tool is **bias + structure**, not a guaranteed prediction.
---
## Disclaimer
This indicator is for educational purposes only and is not financial advice. Trading involves risk and you are responsible for your own decisions. Always manage risk and position size appropriately.
---
Session Volume AveragesSession Volume Averages
Overview
Session Volume Averages is a session-aware volume indicator that combines live volume with historical session context. It displays current volume as bars and overlays two analytical reference lines for each enabled session.
Session Average — the average volume-per-bar across the last N completed sessions.
Bar-Position Average — the average volume at the same bar position within the session (time-of-day average) across the last N completed sessions.
Up to three independent sessions can be enabled simultaneously (default: New York, London, Tokyo), each with custom hours and colors. When no enabled session is active, the pane remains clean.
---
How to Use
Add the indicator
Apply Session Volume Averages to any symbol and timeframe that provides volume data.
Set the time zone
The selected time zone is used for all session window calculations.
Configure sessions
Enable or disable Session 1, Session 2, and Session 3
Set custom trading hours for each session
Choose a color (used for both average lines)
Set the sample size
Choose how many completed sessions (5–100) are used to calculate the averages.
Read the chart
Histogram bars show current volume (only while a session is active)
Thick line shows the session-wide average volume-per-bar
Thin line shows the typical volume for the current bar’s position within the session
---
How to Interpret
Current volume above the Bar-Position Average means volume is elevated for this specific time within the session.
Current volume above the Session Average means volume is strong relative to the session’s overall baseline.
The shape of the Bar-Position Average highlights where volume typically concentrates (opens, overlaps, closes).
---
Optional Debug Mode
When enabled, a small table displays live diagnostic values, including current session averages, bar-position averages, and the current bar index within each session.
Forecast Trend Filter ~ CharonQuantThe Forecast Trend Filter (FTF) is a trend and momentum confirmation indicator built on the original Forecast Oscillator concept developed by Tushar Chande.
The original Forecast Oscillator measures how far price deviates from a linear regression forecast to highlight momentum shifts.
This version extends that foundation and restructures it into a practical, signal-quality focused trend filter designed for real trading conditions.
What’s different in this implementation:
• Forecast Oscillator combined with slope confirmation to ensure momentum is accelerating, not stalling
• Trend alignment filter using a user-selectable moving average (SMA, EMA, WMA, HMA, ALMA, VWMA)
• Minimum deviation threshold to filter out weak or noisy signals
• Directional state logic that clearly defines bullish, bearish, or neutral conditions
• Visual trend context using adaptive colors, background bias, and overlay plots
Signals are only generated when all conditions align:
• Price deviates meaningfully from its linear regression forecast
• Oscillator slope confirms momentum continuation
• Deviation exceeds the minimum quality threshold
• Price is aligned with the higher-level trend filter
If one condition fails, the signal is ignored.
This design prioritizes signal quality over signal frequency.
Development and usage notes:
This indicator was developed and calibrated on the 1D INDEX:ETHUSD chart.
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
CVD Exhaustion Hunter
1. Introduction
The CVD Exhaustion Hunter is a revolutionary daytrading oscillator that detects when price movements become "exhausted" - moving without volume confirmation. By measuring the cumulative percentage divergence between price action and Cumulative Volume Delta (CVD), it identifies high-probability reversal zones using statistical Z-Score analysis. Perfect for scalpers hunting exhaustion moves in futures or other daytrading charts.
2. Key Features
- Daily Auto-Reset : Automatically zeros at market open for clean intraday analysis
- Z-Score Normalization : Bounded oscillator for clear overbought/oversold levels
- Dual Scale : Raw divergence + statistical Z-Score for confirmation
- Real-time Dashboard : Live Z-Score, CVD, and signal status
- Works on Daily Charts with volume data (best 1m-15m)
3. How to Use
DAYTRADE ONLY indicator with daily reset. Always combine with VWAP for best results.
Pro Tip: VWAP confirms the trend direction while Z-Score spots the exhaustion reversal.
Supertrend with Keltner Channels ~ CharonQuantThe Supertrend with Keltner Channels Strategy is a trend-following and volatility indicator designed to filter noise and highlight high-quality directional opportunities.
Core Logic
The indicator is based on two complementary components:
• Supertrend defines the primary market regime (bullish or bearish)
• Keltner Channels define volatility expansion and contraction
Signals are only generated when both trend direction and volatility breakout agree.
Signal Conditions
A Buy signal is triggered when:
• Supertrend flips bullish
• Price breaks above the upper Keltner Channel
A Sell signal is triggered when:
• Supertrend flips bearish
• Price breaks below the lower Keltner Channel
If one condition is missing, no signal is produced. This design prioritizes signal quality over signal frequency.
Visual Structure
The indicator uses a clear visual hierarchy:
• Bar coloring reinforces directional bias
• Supertrend acts as the main directional spine
• Keltner Channels provide volatility context
• Buy and Sell labels mark execution points
All visual elements can be enabled or disabled from the Visual Settings panel.
Development and usage notes:
This indicator was developed and calibrated on the 1D INDEX:BTCUSD chart.
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.






















