ZFX Prime Trend Matrix PRO – Zumiko FX📌 ZFX Prime Trend Matrix PRO – Zumiko FX
ZFX Prime Trend Matrix PRO is a multi-timeframe trend dashboard designed by Zumiko FX to give traders an instant, complete market overview.
It analyzes six key timeframes simultaneously and displays trend direction, band positioning, momentum, volatility and alignment — all in one clean, horizontal table.
This matrix is made to simplify decision-making and help traders instantly identify when multiple timeframes agree on a market direction.
🔹 What the Matrix Shows
The dashboard updates in real time and displays:
1. Trend Direction
UP / DOWN / Neutral for each timeframe (M1, M5, M15, H1, H4, D1).
2. Bands Position (Prime Bands)
Shows whether price is:
Above Fast Band
Below Fast Band
Above Slow Band
Below Slow Band
Inside range
Perfect for spotting breakouts and trend continuation zones.
3. RSI (Momentum Strength)
Color-coded RSI readings help detect overbought/oversold and neutral momentum.
4. Stochastic (Timing Tool)
Reads market timing with Stoch K/D movements.
Highlights when a trend aligns with momentum.
5. ATR Bias
Instant view of volatility pressure:
LONG
SHORT
Neutral
Great for filtering entries.
6. HTF Alignment
Shows whether each timeframe is aligned with the next higher timeframe.
A powerful trend continuation filter used by advanced traders.
7. Trading Signal Zone
Final synthesised signal:
BUY ZONE → Strong bullish alignment
SELL ZONE → Strong bearish alignment
NO TRADE → Conditions not optimal
This allows traders to quickly identify “green light” moments across the trend structure.
🔹 Why This Matrix Is Powerful
✔ Shows 6 timeframes at once
✔ Helps confirm entries from other indicators
✔ Reveals hidden contradictions in trend
✔ Perfect for scalpers and day traders who need fast confirmation
✔ Works with any strategy as a high-level filter
✔ Clean, minimalistic, professional UI
🔹 Who Is It For?
Scalpers
Day traders
Swing traders
Traders using trend-following strategies
Traders who want a clean, high-level overview
🔹 About Zumiko FX
Developed by Zumiko FX, known for precision-based systems and advanced multi-timeframe tools for serious traders.
Search in scripts for "Up down"
ORB + INMERELO ADR + ATRThis indicator provides **two completely different but complementary lines of information** for intraday traders:
# **1. The ORB Line (ADR-Based Context Line)**
The ORB portion of the script focuses on **range expansion** relative to typical daily behavior.
### **What it measures**
* **20-day ADR (Average Daily Range)**
* **Today’s range as a % of ADR**
* **How much of the average range has been “used”** by the time you’re considering an Opening Range Breakout
### **Why it matters for ORB trading**
Successful ORBs thrive when:
* **ADR used% is low** (green) → plenty of fuel left for expansion
* **ADR used% is moderate** (orange) → breakout still possible but less explosive
* **ADR used% is high** (red) → breakout attempts often fail or reverse
### **What the indicator gives you**
A clean, color-coded readout of:
* ADR
* Today’s range
* Used%
* A simple green/orange/red evaluation of ORB quality
This allows a trader to quickly judge whether **conditions favor ORB continuation or mean-reversion reversal**—without manually calculating ranges or switching charts.
---
# **2. The INMERELO Line (ATR Stretch + MA Interaction)**
The INMERELO portion of the script is built around **mean-reversion mechanics**:
the market tends to revert back toward the **first daily MA it crosses under**.
### **How it determines the active MA**
At the start of each session, the script waits for price to cross under:
* **EMA10**
* **EMA21**
* **SMA50**
Whichever MA is crossed first becomes the **active MA** for the day.
If no cross has occurred yet, the indicator shows the **nearest MA**, so traders know exactly what the likely “INMERELO magnet” will be.
### **What it measures**
* **Stretch from the active MA (in ATR units)**
* **20-day ATR regime direction (expanding or contracting)**
* **Daily MA context: E10, E21, or S50**
### **Why it matters for INMERELOs**
This provides:
* The **target MA**
* The **distance to that MA in ATRs**
* A color-coded stretch score:
* **0.6–1.2 ATR** → prime INMERELO zone (Green)
* Moderately stretched → Orange
* Overstretched or dead zone → Red
An up/down arrow shows whether **volatility is expanding or compressing**, which affects expected retrace behavior.
### **What the indicator gives you**
All INMERELO data is displayed in a second compact line:
* Stretch to MA
* Active MA label (E10/E21/S50)
* ATR regime arrow
This allows fast identification of high-probability **mean-reversion trades back to the MA**.
---
# **Summary**
This indicator shows:
### **Line 1 → ORB Context (ADR)**
* Is the stock setup for a powerful breakout?
* How much ADR is left?
* Are you early (good) or late (risky)?
### **Line 2 → INMERELO Context (ATR + MA Stretch)**
* Which MA is in control today (EMA10, EMA21, or SMA50)?
* How many ATRs away from that MA are we?
* Is volatility expanding or contracting?
* Is this a clean INMERELO setup or not?
Together, these two lines give traders the **two most important intraday lenses**:
**range expansion (ORB)** and **mean reversion (INMERELO)**—updated every bar, without clutter.
VWAP + Volume Spikes See Where Smart Money ExhaustsVolume tells the truth. VWAP tells the bias. This script shows both — live.
If you trade intraday momentum, reversals, or liquidity sweeps, this indicator is built for you.
It shows where volume spikes hit extreme levels, anchored around VWAP and its dynamic bands, so you can instantly spot capitulation or hidden absorption.
🎯 What This Indicator Does
✅ Plots VWAP — session-anchored, updates automatically
✅ Adds dynamic VWAP bands — standard deviation envelopes showing volatility context
✅ Highlights volume spikes — colored candles + background for abnormal prints
✅ Includes alerts — “Volume Spike”, “VWAP Cross”, or a combined alert with direction
✅ Clean visual design — instantly readable in fast markets
It’s your visual orderflow radar — whether you’re trading gold, indices, or small caps.
🔍 Why It Works
Institutions build and unwind positions around VWAP.
Retail often chases volume… this script shows you when that volume becomes too extreme.
A spike above VWAP near resistance? → Likely distribution.
A spike below VWAP near support? → Likely capitulation.
Combine volume exhaustion + VWAP context, and you’ll see market turning points form before most indicators react.
⚙️ Inputs You Can Tune
Bands lookback: adjusts how reactive the VWAP bands are
Band width (σ): set how tight or wide your deviation envelope is
Volume baseline length: controls how “abnormal” a spike must be
Spike threshold: multiplier vs. average volume
Toggle color-coding, bands, and labels
Default settings work well across 1m–15m intraday charts and 1h–4h swing frames.
💡 How Traders Use It
1️⃣ Fade Parabolics:
When a green spike candle pierces upper VWAP band on high volume → smart money unloading.
Look for rejection and short into VWAP.
2️⃣ Catch Capitulations:
When a red spike candle dumps below lower VWAP band → panic selling.
Watch for stabilization and long back to VWAP.
3️⃣ VWAP Rotation Plays:
Alerts for price crossing VWAP help you spot shift in intraday control.
Above VWAP = buyers in charge.
Below VWAP = sellers in charge.
🧠 Best Practices
Pair it with Volume Profile or Delta/Flow tools to confirm exhaustion.
Don’t chase — wait for spike confirmation + reversal candle.
Use it on liquid tickers (NASDAQ, SPY, GOLD, BTC, etc.).
Great for Dux-style small-cap shorts or index pullbacks.
🔔 Alerts Ready
Choose from:
Volume Spike (single-bar explosion)
VWAP Cross Up/Down (trend shift confirmation)
One Combined Alert (any signal, includes ticker, price, and volume)
Set once — get real-time push notifications, Telegram, or webhook signals.
📊 My Favorite Setups
US100 / NASDAQ: fade rallies above VWAP + spike
Gold / Silver: trade reversals from VWAP bands
Small caps: short back-side after volume climax
ES, DAX, Oil: scalp VWAP rotation with confluence
❤️ Support This Work
I release free and premium scripts weekly — combining smart money concepts, VWAP tools, and volume analytics.
👉 Follow me on TradingView for more indicators and setups.
👉 Comment “🔥” if you want me to post the multi-timeframe VWAP + Volume Pressure version next.
👉 Share this with your team — it helps the community grow.
Session H/L + Mid + 25%/75% — EvolvingPlots Session High and Low + the Midpoint between the two and also plots at 25% and 75% (Good for initial and rolling up/down stops)
Seasonality PH (Full History) 📊 Description
The "Seasonality PH (Full History)" indicator provides an in-depth analysis of the seasonal tendencies of a selected symbol by utilizing all available historical data. The indicator aggregates historical movements (Long/Short) and calculates the Expected Value (EV) for each period (Daily, Weekly, Monthly, Quarterly), offering a more robust view of the actual average gain/loss. The visualization is based on the Long/Short bar ratio (Bias) within the given period, where the column's height reflects the strength of the prevailing direction, and the direction (up/down) indicates the Long/Short bias. The indicator also includes a table with key statistics, including a prediction for the next 3 periods.
⚙️ Settings (Inputs)
Analysis
Statistics Table: Display the summary table in the corner of the chart with key statistics.
Performance Analysis: Display the main seasonal performance visualization as a histogram.
Analysis Period: Select the period for analysis: Daily, Weekly, Monthly, or Quarterly.
Seasonal Pivots: Displays the days when the asset tends to make annual seasonal highs/lows.
Pivot Strength: The number of surrounding bars required to confirm a seasonal pivot (higher value = stronger pivot).
Data Range
The indicator automatically utilizes all available history for the given instrument.
Extras
Highlight Current Trading Day: Highlights the current period and extends its horizontal line to the right.
Performance Labels: Displays labels on the columns. They include the % of the prevailing direction and the Expected Value (EV) in % for the period.
Show S/L Ratio in Table: Displays the Short/Long ratio in the table.
Track Changes: Connects the ends of the columns with a line to show the continuous change in Seasonal Bias.
Indexing
Anchor to Beginning of Year: Anchors all seasonal drawings to the first trading day of the current year.
Manual Offset: Enables manual offset to overlay seasonality onto previous years.
Offset Value: The offset value in number of bars (e.g., 252 bars/year).
Dividers
Month / Quarter: Enables visual separation of months or quarters in the Performance Analysis (with style and color selection).
Style
Settings for colors and line thickness for the main visualizations. Includes colors for Performance (Long/Short), Seasonal Pivots, and Dividers.
Conditional Coloring
Enable Conditional Bias Coloring: Activates conditional coloring of the columns.
Bias % Threshold (0-100): The minimum percentage strength of the prevailing direction (e.g., 70%) that activates the solid color.
High Long Bias Color / High Short Bias Color: Colors for periods with strong Long/Short bias.
Table
Settings for the position, colors, and text size of the statistics table.
💡 Concepts and Interpretation
Seasonal Analysis and Bias
Visualization: The main histogram shows the strength of the prevailing direction (Bias), not the average percentage change.
Column Height: Normalized by the Long/Short bar ratio. A taller column means a stronger Long or Short bias.
Column Direction: Up for Long Bias, Down for Short Bias.
Conditional Coloring: If the Long/Short ratio exceeds the set Bias % Threshold, the column fills with a solid color to emphasize a strong bias.
Expected Value (EV)
Definition: EV is a weighted average of the seasonal movement, considering both the probability of the movement (Long/Short ratio) and the average magnitude of these movements.
Usage: This value represents the historical profit/loss expectation for the given period. It is displayed in the Performance Labels and in the table as Average % Change.
Performance Labels
Top Number (%): The percentage of the prevailing direction (e.g., 75.00% Long).
Bottom Number (%): The Expected Value (EV) for the period in percent.
Statistics Table
Data Collected: The number of years from which data has been collected.
Average % Change: The Expected Value (EV) for the current period.
Current % Change: The actual percentage change of the current, yet-to-be-closed, period.
Prediction Next 3: The average Expected Value (EV) for the next 3 periods (a quick seasonal outlook).
⚠️ Important Note
Timeframe: For correct aggregation and accurate results, the chart must be set to the Daily (D) timeframe.
ICT Trading SuiteThe ICT Trading Suite is a complete price-action toolkit designed for traders who follow ICT concepts such as Fair Value Gaps (FVGs), Order Blocks (OBs), Supply & Demand Zones, Market Structure pivots, Liquidity Zones, and Moving Averages.
This indicator combines multiple institutional concepts into a single clean, optimized, high-performance script — allowing you to see the market the same way smart money does.
Each module can be toggled on/off to match your personal strategy.
🔥 FEATURE SET
1️⃣ Moving Averages (Fully Customisable)
5 MA slots
Multiple MA types: EMA, SMA, RMA, WMA, HMA, VWMA
Custom colours & visibility toggles
Supports all timeframes
Ideal for bias recognition and trend filtering.
2️⃣ Fair Value Gaps (FVG) – ICT 3-Candle Model
The script detects bullish and bearish FVGs using the classic ICT logic:
Bullish FVG → high < low
Bearish FVG → low > high
Features:
Automatic gap detection
Custom colours for up/down FVGs
CE (consequent encroachment) line
Optional deletion when filled
Extend FVGs dynamically
Lookback days filter
FVG blocks automatically update until price fills the imbalance.
3️⃣ Supply & Demand Zones (Swing-Based)
Built from confirmed swing highs/lows using ta.pivothigh and ta.pivotlow.
Features:
ATR-based zone thickness
Zone overlap filtering
Auto-cleaning oldest zones
POI (Point of Interest) marker
3 types of arrays:
Supply zone boxes
Demand zone boxes
POI midline boxes
Zones extend 100 bars by default and update dynamically.
Zones are deleted instantly when price breaks them (converted into BOS behavior).
4️⃣ Smart Money Order Blocks (Simple Engulfing Pattern)
OBs are detected using the classic engulfing model:
Bullish OB
Bearish candle → Engulfed by bullish candle where
close > high
Bearish OB
Bullish candle → Engulfed by bearish candle where
close < low
Each OB stores:
Original top/bottom
Current top/bottom
POI line (optional)
Engulfing candle structure
Mitigation state
Features:
Dynamic boundaries (OB shrinks as price mitigates)
POI line update
Automatic deletion (or recolour) when completely mitigated
Limit how many OBs stay on chart
Support for adding HTF OBs later
This creates very clean and very accurate ICT order blocks.
5️⃣ Liquidity / Vector Zones (Volume-Spread Analysis)
A built-in PVSRA-style logic marks areas of institutional activity.
Vector candles detected using:
Volume ≥ 200% of average
Or candle spread × volume ≥ highest in last 10 bars
Medium-volume vectors (150%) also included
Colour-coded zones extend to the right
Auto-cleanup once price clears the zone
Useful for detecting areas where algorithms (MMXs) aggressively buy/sell.
6️⃣ Pivot Levels
Multiple pivot methods supported:
Traditional
Fibonacci
Woodie
Classic
DM
Camarilla
Features:
Auto / Daily / Weekly / Monthly / Quarterly / Yearly pivots
Dynamic line extension
Labels with prices
Custom colours
Only draws selected pivot levels
Efficient matrix-based pivot system
💎 TECHNICAL EXCELLENCE
✔ Pine Script v6
✔ Efficient arrays & memory handling
✔ Clean dynamic updates
✔ Max-performance structure
✔ Modular design (each component can be toggled)
✔ Integrates all ICT concepts in one tool
🎯 Who Is This Indicator For?
Perfect for:
ICT Traders
Smart Money / Institutional Traders
Day Traders & Scalpers
Swing Traders using OB/FVG
Liquidity hunters
Market structure based traders
Volume-spread or PVSRA focused traders
This combines multiple institutional concepts without cluttering the chart.
🏆 Final Notes
This is a true all-in-one institutional suite, replacing up to 8 separate indicators.
Designed for precision, clarity, and professional price-action workflow.
Market Structure Volume Time Velocity ProfileThis is the Market Structure Volume Time Velocity Profile (MSVTVP). It combines event-based profiling with advanced metrics like Time and Velocity (Flow Rate). Instead of fixed time periods, profiles are anchored to critical market events (Swings, Structure Breaks, Delta Breaks), giving you a precise view of value development during specific market phases.
## The 3 Dimensions of the Market
Unlike standard tools that only show Volume, MSVTVP allows you
to switch between three critical metrics:
1. **VOLUME Profile (The "Where"):**
* Shows standard acceptance. High volume nodes (HVN)
are magnets for price.
2. **TIME Profile (The "How Long"):**
* Similar to TPO, it measures how long price spent at each
level.
* **High Time:** True acceptance and fair value.
* **Low Time:** Rejection or rapid movement.
3. **VELOCITY Profile (The "How Fast"):**
* Measures the **speed of trading** (Contracts per Second).
This reveals the hidden intent of market participants.
* **High Velocity (Fast Flow):** Aggression. Initiative
buyers/sellers are hitting market orders rapidly. Often
seen at breakouts or in liquidity vacu.
* **Low Velocity (Slow Flow):** Absorption. Massive passive
limit orders are slowing price down despite high volume.
Often seen at major reversals ("hitting a brick wall").
Key Features:
1. **Event-Based Profile Anchoring:** The indicator starts a new
profile based on one of three user-selected events
('Profile Anchor'):
- **Swing:** A new profile begins when the 'impulse baseline'
(derived from intra-bar delta) changes. This baseline
adjusts when a new **price pivot** is confirmed: When a
price **high** forms, the baseline moves to the **lower**
of its previous level or the peak delta (max of
delta O/C) at the pivot. When a price **low** forms, it
moves to the **higher** of its previous level or the
trough delta (min of delta O/C) at the pivot.
- **Structure:** A new profile begins immediately on the bar
that *confirms* a market structure break (e.g., a new HH
or LL, based on a sequence of price pivots).
- **Delta:** A new profile begins immediately on the bar
that *confirms* a break in the *cumulative delta's*
market structure (e.g., a new HH or LL in the delta).
Both 'Swing' and 'Delta' anchors are derived from the same
**continuous (non-resetting) Cumulative Volume Profile Delta (CVPD)**,
which is built from the intra-bar statistical analysis.
2. **Statistical Profile Engine:** For each bar in the anchored
period, the indicator builds a volume profile on a lower
'Intra-Bar Timeframe'. Instead of simple tick counting, it
uses advanced statistical models:
- **Allocation ('Allot model'):** 'PDF' (Probability Density
Function) distributes volume proportionally across the
bar's range based on an assumed statistical model
(e.g., T4-Skew). 'Classic' assigns all volume to
the close.
- **Buy/Sell Split ('Volume Estimator'):** 'Dynamic'
applies a model that analyzes candle wicks and
recent trend to estimate buy/sell pressure. 'Classic'
classifies all volume based on the candle color.
3. **Visualization & Lag:** The indicator plots the final
profile (as a polygon) and the developing statistical
lines (POC, VA, VWAP, StdDev).
- **Note on Lag:** All anchor events require `Pivot Right Bars`
for confirmation.
- In 'Structure' and 'Delta' mode, the developing lines
(POC, VA, etc.) are plotted using a **non-repainting**
method (showing the value from `pivRi` bars ago).
- In 'Swing' mode, the profile is plotted **retroactively**,
starting *from the bar where the pivot occurred*. The
developing lines are also plotted with this full
`pivRi` lag to align with the past data.
4. **Flexible Display Modes:** The finalized profile can be displayed
in three ways: 'Up/Down' (buy vs. sell), 'Total' (combined
volume), and 'Delta' (net difference).
5. **Dynamic Row Sizing:** Includes an option ('Rows per Percent')
to automatically adjust the number of profile rows (buckets)
based on the profile's price range.
6. **Integrated Alerts:** Includes 13 alerts that trigger for:
- A new profile reset ('Profile was resetted').
- Price crossing any of the 6 developing levels (POC,
VA High/Low, VWAP, StdDev High/Low).
- **Alert Lag Assumption:** In 'Swing' mode, alerts are
delayed to match the retroactively plotted lines.
In 'Structure' and 'Delta' modes, alerts fire in
**real-time** based on the *current price* crossing
the *current (repainting)* value of the metric, which
may **differ from the non-repainting plotted line.**
**Caution: Real-Time Data Behavior (Intra-Bar Repainting)**
This indicator uses high-resolution intra-bar data. As a result, the
values on the **current, unclosed bar** (the real-time bar) will
update dynamically as new intra-bar data arrives. This includes
the values used for real-time alerts in 'Structure' and
'Delta' modes.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Periodic Volume Time Velocity ProfileThis is the Periodic Volume Time Velocity Profile (PVTVP). It is an advanced professional profiling tool that goes beyond standard volume analysis by introducing Time and Velocity (Flow Rate) as profile dimensions.
By analyzing high-resolution intra-bar data, it builds
precise profiles for any custom period (Session, Day, Week, etc.),
helping you understand not just *where* the market traded,
but *how* it traded there.
## The 3 Dimensions of the Market
Unlike standard tools that only show Volume, PVTVP allows you
to switch between three critical metrics:
1. **VOLUME Profile (The "Where"):**
* Shows standard acceptance. High volume nodes (HVN)
are magnets for price.
2. **TIME Profile (The "How Long"):**
* Similar to TPO, it measures how long price spent at each
level.
* **High Time:** True acceptance and fair value.
* **Low Time:** Rejection or rapid movement.
3. **VELOCITY Profile (The "How Fast"):**
* Measures the **speed of trading** (Contracts per Second).
This reveals the hidden intent of market participants.
* **High Velocity (Fast Flow):** Aggression. Initiative
buyers/sellers are hitting market orders rapidly. Often
seen at breakouts or in liquidity vacuums.
* **Low Velocity (Slow Flow):** Absorption. Massive passive
limit orders are slowing price down despite high volume.
Often seen at major reversals ("hitting a brick wall").
## Key Features
1. **Statistical Volume Profile Engine:** For each bar in the selected
period, the indicator builds a complete volume profile on a lower
'Intra-Bar Timeframe'. Instead of simple tick counting, it uses
**statistical models ('PDF' allocation)** to distribute volume
across price levels and **advanced classifiers ('Dynamic' split)**
to determine the buy/sell pressure within that profile.
2. **Flexible Profile Display:** The **finalized profile** (plotted at
the end of each period) can be visualized in three distinct
ways: 'Up/Down' (buy vs. sell), 'Total' (combined volume),
and 'Delta' (net difference).
3. **Developing Key Levels:** The indicator also plots the developing
Point of Control (POC), Value Area (VA), VWAP, and Standard
Deviation bands in real-time as the period unfolds, providing
live insights into the emerging market structure.
4. **Dynamic Row Sizing:** Includes an option ('Rows per Percent')
to automatically adjust the number of profile rows (buckets)
based on the profile's price range, maintaining a consistent
visual density.
5. **Integrated Alerts:** Includes 12 alerts that trigger when the
main price crosses over or under the key developing levels:
POC, VWAP, Value Area High/Low, and the +/- Standard
Deviation bands.
**Caution: Real-Time Data Behavior (Intra-Bar Repainting)**
This indicator uses high-resolution intra-bar data. As a result, the
values on the **current, unclosed bar** (the real-time bar) will
update dynamically as new intra-bar data arrives. This behavior is
normal and necessary for this type of analysis. Signals should only
be considered final **after the main chart bar has closed.**
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
RSI with Zone Colors//@version=6
indicator(title="RSI with Zone Colors", shorttitle="RSI+", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
//// ==== INPUT SETTINGS ====
rsiLength = input.int(14, title="RSI Length", minval=1)
source = input.source(close, title="Source")
ob_level = input.int(70, title="Overbought Level")
os_level = input.int(30, title="Oversold Level")
//// ==== RSI CALCULATION ====
change = ta.change(source)
up = ta.ma(math.max(change, 0), rsiLength)
down = ta.ma(-math.min(change, 0), rsiLength)
rsi = down == 0 ? 100 : 100 - (100 / (1 + up / down))
//// ==== COLOR BASED ON ZONES ====
rsiColor = rsi > ob_level ? color.red : rsi < os_level ? color.green : #2962FF
//// ==== PLOT RSI ====
plot(rsi, title="RSI", color=rsiColor, linewidth=2)
//// ==== ZONE LINES ====
hline(ob_level, "Overbought", color=#787B86)
hline(50, "Middle", color=color.new(#787B86, 50))
hline(os_level, "Oversold", color=#787B86)
//// ==== FILL ZONES ====
zoneColor = rsi > ob_level ? color.new(color.red, 85) : rsi < os_level ? color.new(color.green, 85) : na
fill(plot(ob_level, display=display.none), plot(rsi > ob_level ? rsi : ob_level, display=display.none), color=zoneColor, title="OB Fill")
fill(plot(os_level, display=display.none), plot(rsi < os_level ? rsi : os_level, display=display.none), color=zoneColor, title="OS Fill")
//// ==== COLOR CANDLE WHEN RSI IN ZONE ====
barcolor(rsi > ob_level ? color.red : rsi < os_level ? color.green : na)
Session Breakout, Retest, Reversal + Large Move Alert## **Session Breakout, Retest, Reversal + Large Move Alert**
### Overview
A powerful multi-functional indicator designed for day traders and futures traders to identify session-based breakout opportunities, retest confirmations, and significant price movements across all futures contracts (Gold, E-mini S&P 500, Nasdaq, Crude Oil, and more).
### Key Features
**📊 Pre-Market Session Tracking**
- Automatically calculates pre-market/overnight session highs and lows
- Displays session ranges with customizable colors and styling
- Extends lines through the entire trading session for easy reference
- Supports overnight sessions (e.g., 4 PM – 7:30 AM for Gold futures)
**🚀 Breakout Detection**
- Identifies breakouts above/below pre-market highs and lows
- Uses close-price confirmation to filter false signals from wicks
- Displays "BO ↑" and "BO ↓" labels at breakout points
- Generates instant alerts when breakouts occur
**♻️ Retest Failed Tracking**
- Monitors price retests after breakouts
- Detects when retests fail to reach previous support/resistance
- Labels "RF" (Retest Failed) for high-probability trade setups
- Helps identify reversal opportunities
**📈 First 5-Minute Analysis**
- Captures first 5 minutes of market open (customizable timeframe)
- Tracks first 5-minute highs and lows separately
- Essential for mean-reversion and breakout confirmation strategies
- Blue lines extend through the trading session for easy tracking
**⚡ Large Move Alerts**
- Detects significant price movements based on point thresholds
- Individual thresholds for 5+ different symbols:
- GC (Gold): 15 points
- ES (E-mini S&P 500): 15 points
- NQ (E-mini Nasdaq): 50 points
- CL (Crude Oil): 1.5 points
- Custom: Fully adjustable
- Auto-detects symbol from chart ticker
- Labels show exact point movement and candle direction
### Customization Options
**Symbol Configuration**
- **Auto-Mode**: Automatically detects trading symbol from chart ticker
- **Manual-Mode**: Select specific symbol (GC, ES, NQ, CL, or Custom)
**Session Settings**
- Fully customizable pre-market session time (24-hour format)
- Adjustable market open time for first 5-minute window
- Market close hour and minute configuration
- Support for any timezone
**Point Move Thresholds by Symbol**
- Set independent thresholds for each of your trading symbols
- Quickly adjust settings when switching between different futures
- Includes helpful tooltips for recommended values
**Display & Styling**
- Toggle all visual elements on/off individually
- Customizable colors for all lines and labels:
- Pre-market high/low colors
- Breakout labels (up/down)
- Retest failed labels
- First 5-minute session lines
- Large move indicators
- Text size options: tiny, small, normal, large, huge
### How It Works
1. **Session Tracking**: The indicator identifies your pre-market session and marks the high and low with labeled lines (PH/PL)
2. **Breakout Signal**: Once the market opens, it monitors for close prices above/below the pre-market levels and alerts you with "BO ↑" or "BO ↓"
3. **Retest Confirmation**: After a breakout, it tracks retests and labels "RF" when the retest fails to reach the opposite extreme, confirming trade direction
4. **Large Move Detection**: Simultaneously monitors for significant point moves that exceed your symbol-specific thresholds
5. **Alert Triggers**: Get real-time alerts for:
- Breakout Up/Down
- Any Breakout
- Large Move events
### Alert Conditions
The indicator includes four alert conditions:
- **Breakout Up Alert**: Price closes above pre-market high
- **Breakout Down Alert**: Price closes below pre-market low
- **Any Breakout Alert**: Either breakout condition triggers
- **Large Move Alert**: Point movement exceeds threshold for current symbol
### Ideal For
- ✅ Day traders (breakout/retest strategies)
- ✅ Futures traders (Gold, Oil, Stock Index Contracts)
- ✅ Intraday scalpers (first 5-minute analysis)
- ✅ Swing traders (session-based levels)
- ✅ Multi-symbol traders (independent thresholds per symbol)
### Disclaimer
This indicator is designed for educational and informational purposes. Past performance does not guarantee future results. Always use proper risk management and position sizing. Test thoroughly on historical data before trading live.
Algorithm Predator - ML-liteAlgorithm Predator - ML-lite
This indicator combines four specialized trading agents with an adaptive multi-armed bandit selection system to identify high-probability trade setups. It is designed for swing and intraday traders who want systematic signal generation based on institutional order flow patterns , momentum exhaustion , liquidity dynamics , and statistical mean reversion .
Core Architecture
Why These Components Are Combined:
The script addresses a fundamental challenge in algorithmic trading: no single detection method works consistently across all market conditions. By deploying four independent agents and using reinforcement learning algorithms to select or blend their outputs, the system adapts to changing market regimes without manual intervention.
The Four Trading Agents
1. Spoofing Detector Agent 🎭
Detects iceberg orders through persistent volume at similar price levels over 5 bars
Identifies spoofing patterns via asymmetric wick analysis (wicks exceeding 60% of bar range with volume >1.8× average)
Monitors order clustering using simplified Hawkes process intensity tracking (exponential decay model)
Signal Logic: Contrarian—fades false breakouts caused by institutional manipulation
Best Markets: Consolidations, institutional trading windows, low-liquidity hours
2. Exhaustion Detector Agent ⚡
Calculates RSI divergence between price movement and momentum indicator over 5-bar window
Detects VWAP exhaustion (price at 2σ bands with declining volume)
Uses VPIN reversals (volume-based toxic flow dissipation) to identify momentum failure
Signal Logic: Counter-trend—enters when momentum extreme shows weakness
Best Markets: Trending markets reaching climax points, over-extended moves
3. Liquidity Void Detector Agent 💧
Measures Bollinger Band squeeze (width <60% of 50-period average)
Identifies stop hunts via 20-bar high/low penetration with immediate reversal and volume spike
Detects hidden liquidity absorption (volume >2× average with range <0.3× ATR)
Signal Logic: Breakout anticipation—enters after liquidity grab but before main move
Best Markets: Range-bound pre-breakout, volatility compression zones
4. Mean Reversion Agent 📊
Calculates price z-scores relative to 50-period SMA and standard deviation (triggers at ±2σ)
Implements Ornstein-Uhlenbeck process scoring (mean-reverting stochastic model)
Uses entropy analysis to detect algorithmic trading patterns (low entropy <0.25 = high predictability)
Signal Logic: Statistical reversion—enters when price deviates significantly from statistical equilibrium
Best Markets: Range-bound, low-volatility, algorithmically-dominated instruments
Adaptive Selection: Multi-Armed Bandit System
The script implements four reinforcement learning algorithms to dynamically select or blend agents based on performance:
Thompson Sampling (Default - Recommended):
Uses Bayesian inference with beta distributions (tracks alpha/beta parameters per agent)
Balances exploration (trying underused agents) vs. exploitation (using proven winners)
Each agent's win/loss history informs its selection probability
Lite Approximation: Uses pseudo-random sampling from price/volume noise instead of true random number generation
UCB1 (Upper Confidence Bound):
Calculates confidence intervals using: average_reward + sqrt(2 × ln(total_pulls) / agent_pulls)
Deterministic algorithm favoring agents with high uncertainty (potential upside)
More conservative than Thompson Sampling
Epsilon-Greedy:
Exploits best-performing agent (1-ε)% of the time
Explores randomly ε% of the time (default 10%, configurable 1-50%)
Simple, transparent, easily tuned via epsilon parameter
Gradient Bandit:
Uses softmax probability distribution over agent preference weights
Updates weights via gradient ascent based on rewards
Best for Blend mode where all agents contribute
Selection Modes:
Switch Mode: Uses only the selected agent's signal (clean, decisive)
Blend Mode: Combines all agents using exponentially weighted confidence scores controlled by temperature parameter (smooth, diversified)
Lock Agent Feature:
Optional manual override to force one specific agent
Useful after identifying which agent dominates your specific instrument
Only applies in Switch mode
Four choices: Spoofing Detector, Exhaustion Detector, Liquidity Void, Mean Reversion
Memory System
Dual-Layer Architecture:
Short-Term Memory: Stores last 20 trade outcomes per agent (configurable 10-50)
Long-Term Memory: Stores episode averages when short-term reaches transfer threshold (configurable 5-20 bars)
Memory Boost Mechanism: Recent performance modulates agent scores by up to ±20%
Episode Transfer: When an agent accumulates sufficient results, averages are condensed into long-term storage
Persistence: Manual restoration of learned parameters via input fields (alpha, beta, weights, microstructure thresholds)
How Memory Works:
Agent generates signal → outcome tracked after 8 bars (performance horizon)
Result stored in short-term memory (win = 1.0, loss = 0.0)
Short-term average influences agent's future scores (positive feedback loop)
After threshold met (default 10 results), episode averaged into long-term storage
Long-term patterns (weighted 30%) + short-term patterns (weighted 70%) = total memory boost
Market Microstructure Analysis
These advanced metrics quantify institutional order flow dynamics:
Order Flow Toxicity (Simplified VPIN):
Measures buy/sell volume imbalance over 20 bars: |buy_vol - sell_vol| / (buy_vol + sell_vol)
Detects informed trading activity (institutional players with non-public information)
Values >0.4 indicate "toxic flow" (informed traders active)
Lite Approximation: Uses simple open/close heuristic instead of tick-by-tick trade classification
Price Impact Analysis (Simplified Kyle's Lambda):
Measures market impact efficiency: |price_change_10| / sqrt(volume_sum_10)
Low values = large orders with minimal price impact ( stealth accumulation )
High values = retail-dominated moves with high slippage
Lite Approximation: Uses simplified denominator instead of regression-based signed order flow
Market Randomness (Entropy Analysis):
Counts unique price changes over 20 bars / 20
Measures market predictability
High entropy (>0.6) = human-driven, chaotic price action
Low entropy (<0.25) = algorithmic trading dominance (predictable patterns)
Lite Approximation: Simple ratio instead of true Shannon entropy H(X) = -Σ p(x)·log₂(p(x))
Order Clustering (Simplified Hawkes Process):
Tracks self-exciting event intensity (coordinated order activity)
Decays at 0.9× per bar, spikes +1.0 when volume >1.5× average
High intensity (>0.7) indicates clustering (potential spoofing/accumulation)
Lite Approximation: Simple exponential decay instead of full λ(t) = μ + Σ α·exp(-β(t-tᵢ)) with MLE
Signal Generation Process
Multi-Stage Validation:
Stage 1: Agent Scoring
Each agent calculates internal score based on its detection criteria
Scores must exceed agent-specific threshold (adjusted by sensitivity multiplier)
Agent outputs: Signal direction (+1/-1/0) and Confidence level (0.0-1.0)
Stage 2: Memory Boost
Agent scores multiplied by memory boost factor (0.8-1.2 based on recent performance)
Successful agents get amplified, failing agents get dampened
Stage 3: Bandit Selection/Blending
If Adaptive Mode ON:
Switch: Bandit selects single best agent, uses only its signal
Blend: All agents combined using softmax-weighted confidence scores
If Adaptive Mode OFF:
Traditional consensus voting with confidence-squared weighting
Signal fires when consensus exceeds threshold (default 70%)
Stage 4: Confirmation Filter
Raw signal must repeat for consecutive bars (default 3, configurable 2-4)
Minimum confidence threshold: 0.25 (25%) enforced regardless of mode
Trend alignment check: Long signals require trend_score ≥ -2, Short signals require trend_score ≤ 2
Stage 5: Cooldown Enforcement
Minimum bars between signals (default 10, configurable 5-15)
Prevents over-trading during choppy conditions
Stage 6: Performance Tracking
After 8 bars (performance horizon), signal outcome evaluated
Win = price moved in signal direction, Loss = price moved against
Results fed back into memory and bandit statistics
Trading Modes (Presets)
Pre-configured parameter sets:
Conservative: 85% consensus, 4 confirmations, 15-bar cooldown
Expected: 60-70% win rate, 3-8 signals/week
Best for: Swing trading, capital preservation, beginners
Balanced: 70% consensus, 3 confirmations, 10-bar cooldown
Expected: 55-65% win rate, 8-15 signals/week
Best for: Day trading, most traders, general use
Aggressive: 60% consensus, 2 confirmations, 5-bar cooldown
Expected: 50-58% win rate, 15-30 signals/week
Best for: Scalping, high-frequency trading, active management
Elite: 75% consensus, 3 confirmations, 12-bar cooldown
Expected: 58-68% win rate, 5-12 signals/week
Best for: Selective trading, high-conviction setups
Adaptive: 65% consensus, 2 confirmations, 8-bar cooldown
Expected: Varies based on learning
Best for: Experienced users leveraging bandit system
How to Use
1. Initial Setup (5 Minutes):
Select Trading Mode matching your style (start with Balanced)
Enable Adaptive Learning (recommended for automatic agent selection)
Choose Thompson Sampling algorithm (best all-around performance)
Keep Microstructure Metrics enabled for liquid instruments (>100k daily volume)
2. Agent Tuning (Optional):
Adjust Agent Sensitivity multipliers (0.5-2.0):
<0.8 = Highly selective (fewer signals, higher quality)
0.9-1.2 = Balanced (recommended starting point)
1.3 = Aggressive (more signals, lower individual quality)
Monitor dashboard for 20-30 signals to identify dominant agent
If one agent consistently outperforms, consider using Lock Agent feature
3. Bandit Configuration (Advanced):
Blend Temperature (0.1-2.0):
0.3 = Sharp decisions (best agent dominates)
0.5 = Balanced (default)
1.0+ = Smooth (equal weighting, democratic)
Memory Decay (0.8-0.99):
0.90 = Fast adaptation (volatile markets)
0.95 = Balanced (most instruments)
0.97+ = Long memory (stable trends)
4. Signal Interpretation:
Green triangle (▲): Long signal confirmed
Red triangle (▼): Short signal confirmed
Dashboard shows:
Active agent (highlighted row with ► marker)
Win rate per agent (green >60%, yellow 40-60%, red <40%)
Confidence bars (█████ = maximum confidence)
Memory size (short-term buffer count)
Colored zones display:
Entry level (current close)
Stop-loss (1.5× ATR)
Take-profit 1 (2.0× ATR)
Take-profit 2 (3.5× ATR)
5. Risk Management:
Never risk >1-2% per signal (use ATR-based stops)
Signals are entry triggers, not complete strategies
Combine with your own market context analysis
Consider fundamental catalysts and news events
Use "Confirming" status to prepare entries (not to enter early)
6. Memory Persistence (Optional):
After 50-100 trades, check Memory Export Panel
Record displayed alpha/beta/weight values for each agent
Record VPIN and Kyle threshold values
Enable "Restore From Memory" and input saved values to continue learning
Useful when switching timeframes or restarting indicator
Visual Components
On-Chart Elements:
Spectral Layers: EMA8 ± 0.5 ATR bands (dynamic support/resistance, colored by trend)
Energy Radiance: Multi-layer glow boxes at signal points (intensity scales with confidence, configurable 1-5 layers)
Probability Cones: Projected price paths with uncertainty wedges (15-bar projection, width = confidence × ATR)
Connection Lines: Links sequential signals (solid = same direction continuation, dotted = reversal)
Kill Zones: Risk/reward boxes showing entry, stop-loss, and dual take-profit targets
Signal Markers: Triangle up/down at validated entry points
Dashboard (Configurable Position & Size):
Regime Indicator: 4-level trend classification (Strong Bull/Bear, Weak Bull/Bear)
Mode Status: Shows active system (Adaptive Blend, Locked Agent, or Consensus)
Agent Performance Table: Real-time win%, confidence, and memory stats
Order Flow Metrics: Toxicity and impact indicators (when microstructure enabled)
Signal Status: Current state (Long/Short/Confirming/Waiting) with confirmation progress
Memory Panel (Configurable Position & Size):
Live Parameter Export: Alpha, beta, and weight values per agent
Adaptive Thresholds: Current VPIN sensitivity and Kyle threshold
Save Reminder: Visual indicator if parameters should be recorded
What Makes This Original
This script's originality lies in three key innovations:
1. Genuine Meta-Learning Framework:
Unlike traditional indicator mashups that simply display multiple signals, this implements authentic reinforcement learning (multi-armed bandits) to learn which detection method works best in current conditions. The Thompson Sampling implementation with beta distribution tracking (alpha for successes, beta for failures) is statistically rigorous and adapts continuously. This is not post-hoc optimization—it's real-time learning.
2. Episodic Memory Architecture with Transfer Learning:
The dual-layer memory system mimics human learning patterns:
Short-term memory captures recent performance (recency bias)
Long-term memory preserves historical patterns (experience)
Automatic transfer mechanism consolidates knowledge
Memory boost creates positive feedback loops (successful strategies become stronger)
This architecture allows the system to adapt without retraining , unlike static ML models that require batch updates.
3. Institutional Microstructure Integration:
Combines retail-focused technical analysis (RSI, Bollinger Bands, VWAP) with institutional-grade microstructure metrics (VPIN, Kyle's Lambda, Hawkes processes) typically found in academic finance literature and professional trading systems, not standard retail platforms. While simplified for Pine Script constraints, these metrics provide insight into informed vs. uninformed trading , a dimension entirely absent from traditional technical analysis.
Mashup Justification:
The four agents are combined specifically for risk diversification across failure modes:
Spoofing Detector: Prevents false breakout losses from manipulation
Exhaustion Detector: Prevents chasing extended trends into reversals
Liquidity Void: Exploits volatility compression (different regime than trending)
Mean Reversion: Provides mathematical anchoring when patterns fail
The bandit system ensures the optimal tool is automatically selected for each market situation, rather than requiring manual interpretation of conflicting signals.
Why "ML-lite"? Simplifications and Approximations
This is the "lite" version due to necessary simplifications for Pine Script execution:
1. Simplified VPIN Calculation:
Academic Implementation: True VPIN uses volume bucketing (fixed-volume bars) and tick-by-tick buy/sell classification via Lee-Ready algorithm or exchange-provided trade direction flags
This Implementation: 20-bar rolling window with simple open/close heuristic (close > open = buy volume)
Impact: May misclassify volume during ranging/choppy markets; works best in directional moves
2. Pseudo-Random Sampling:
Academic Implementation: Thompson Sampling requires true random number generation from beta distributions using inverse transform sampling or acceptance-rejection methods
This Implementation: Deterministic pseudo-randomness derived from price and volume decimal digits: (close × 100 - floor(close × 100)) + (volume % 100) / 100
Impact: Not cryptographically random; may have subtle biases in specific price ranges; provides sufficient variation for agent selection
3. Hawkes Process Approximation:
Academic Implementation: Full Hawkes process uses maximum likelihood estimation with exponential kernels: λ(t) = μ + Σ α·exp(-β(t-tᵢ)) fitted via iterative optimization
This Implementation: Simple exponential decay (0.9 multiplier) with binary event triggers (volume spike = event)
Impact: Captures self-exciting property but lacks parameter optimization; fixed decay rate may not suit all instruments
4. Kyle's Lambda Simplification:
Academic Implementation: Estimated via regression of price impact on signed order flow over multiple time intervals: Δp = λ × Δv + ε
This Implementation: Simplified ratio: price_change / sqrt(volume_sum) without proper signed order flow or regression
Impact: Provides directional indicator of impact but not true market depth measurement; no statistical confidence intervals
5. Entropy Calculation:
Academic Implementation: True Shannon entropy requires probability distribution: H(X) = -Σ p(x)·log₂(p(x)) where p(x) is probability of each price change magnitude
This Implementation: Simple ratio of unique price changes to total observations (variety measure)
Impact: Measures diversity but not true information entropy with probability weighting; less sensitive to distribution shape
6. Memory System Constraints:
Full ML Implementation: Neural networks with backpropagation, experience replay buffers (storing state-action-reward tuples), gradient descent optimization, and eligibility traces
This Implementation: Fixed-size array queues with simple averaging; no gradient-based learning, no state representation beyond raw scores
Impact: Cannot learn complex non-linear patterns; limited to linear performance tracking
7. Limited Feature Engineering:
Advanced Implementation: Dozens of engineered features, polynomial interactions (x², x³), dimensionality reduction (PCA, autoencoders), feature selection algorithms
This Implementation: Raw agent scores and basic market metrics (RSI, ATR, volume ratio); minimal transformation
Impact: May miss subtle cross-feature interactions; relies on agent-level intelligence rather than feature combinations
8. Single-Instrument Data:
Full Implementation: Multi-asset correlation analysis (sector ETFs, currency pairs, volatility indices like VIX), lead-lag relationships, risk-on/risk-off regimes
This Implementation: Only OHLCV data from displayed instrument
Impact: Cannot incorporate broader market context; vulnerable to correlated moves across assets
9. Fixed Performance Horizon:
Full Implementation: Adaptive horizon based on trade duration, volatility regime, or profit target achievement
This Implementation: Fixed 8-bar evaluation window
Impact: May evaluate too early in slow markets or too late in fast markets; one-size-fits-all approach
Performance Impact Summary:
These simplifications make the script:
✅ Faster: Executes in milliseconds vs. seconds (or minutes) for full academic implementations
✅ More Accessible: Runs on any TradingView plan without external data feeds, APIs, or compute servers
✅ More Transparent: All calculations visible in Pine Script (no black-box compiled models)
✅ Lower Resource Usage: <500 bars lookback, minimal memory footprint
⚠️ Less Precise: Approximations may reduce statistical edge by 5-15% vs. academic implementations
⚠️ Limited Scope: Cannot capture tick-level dynamics, multi-order-book interactions, or cross-asset flows
⚠️ Fixed Parameters: Some thresholds hardcoded rather than dynamically optimized
When to Upgrade to Full Implementation:
Consider professional Python/C++ versions with institutional data feeds if:
Trading with >$100K capital where precision differences materially impact returns
Operating in microsecond-competitive environments (HFT, market making)
Requiring regulatory-grade audit trails and reproducibility
Backtesting with tick-level precision for strategy validation
Need true real-time adaptation with neural network-based learning
For retail swing/day trading and position management, these approximations provide sufficient signal quality while maintaining usability, transparency, and accessibility. The core logic—multi-agent detection with adaptive selection—remains intact.
Technical Notes
All calculations use standard Pine Script built-in functions ( ta.ema, ta.atr, ta.rsi, ta.bb, ta.sma, ta.stdev, ta.vwap )
VPIN and Kyle's Lambda use simplified formulas optimized for OHLCV data (see "Lite" section above)
Thompson Sampling uses pseudo-random noise from price/volume decimal digits for beta distribution sampling
No repainting: All calculations use confirmed bar data (no forward-looking)
Maximum lookback: 500 bars (set via max_bars_back parameter)
Performance evaluation: 8-bar forward-looking window for reward calculation (clearly disclosed)
Confidence threshold: Minimum 0.25 (25%) enforced on all signals
Memory arrays: Dynamic sizing with FIFO queue management
Limitations and Disclaimers
Not Predictive: This indicator identifies patterns in historical data. It cannot predict future price movements with certainty.
Requires Human Judgment: Signals are entry triggers, not complete trading strategies. Must be confirmed with your own analysis, risk management rules, and market context.
Learning Period Required: The adaptive system requires 50-100 bars minimum to build statistically meaningful performance data for bandit algorithms.
Overfitting Risk: Restoring memory parameters from one market regime to a drastically different regime (e.g., low volatility to high volatility) may cause poor initial performance until system re-adapts.
Approximation Limitations: Simplified calculations (see "Lite" section) may underperform academic implementations by 5-15% in highly efficient markets.
No Guarantee of Profit: Past performance, whether backtested or live-traded, does not guarantee future performance. All trading involves risk of loss.
Forward-Looking Bias: Performance evaluation uses 8-bar forward window—this creates slight look-ahead for learning (though not for signals). Real-time performance may differ from indicator's internal statistics.
Single-Instrument Limitation: Does not account for correlations with related assets or broader market regime changes.
Recommended Settings
Timeframe: 15-minute to 4-hour charts (sufficient volatility for ATR-based stops; adequate bar volume for learning)
Assets: Liquid instruments with >100k daily volume (forex majors, large-cap stocks, BTC/ETH, major indices)
Not Recommended: Illiquid small-caps, penny stocks, low-volume altcoins (microstructure metrics unreliable)
Complementary Tools: Volume profile, order book depth, market breadth indicators, fundamental catalysts
Position Sizing: Risk no more than 1-2% of capital per signal using ATR-based stop-loss
Signal Filtering: Consider external confluence (support/resistance, trendlines, round numbers, session opens)
Start With: Balanced mode, Thompson Sampling, Blend mode, default agent sensitivities (1.0)
After 30+ Signals: Review agent win rates, consider increasing sensitivity of top performers or locking to dominant agent
Alert Configuration
The script includes built-in alert conditions:
Long Signal: Fires when validated long entry confirmed
Short Signal: Fires when validated short entry confirmed
Alerts fire once per bar (after confirmation requirements met)
Set alert to "Once Per Bar Close" for reliability
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Fair Value Gap Pro by Bifrost InstituteFair Value Gap Pro brings institutional-style FVGs to TradingView with the precision and controls traders actually need. It detects clean 3-candle gaps on any higher timeframe, projects them onto your active chart, and overlays precise buy/sell volume ratios so you can judge the quality of a gap at a glance. Everything is customizable—from colors and line styles to tag markers, and volume display—so the tool adapts to your workflow instead of the other way around.
🔭 Multi-Timeframe Engine
Higher Timeframe Detection: Choose any HTF (M5, H1, H4, D1, etc.) and view those gaps on any lower-TF chart
Smart Gap Detection: Strict 3-candle mode ensures only successive bars form gaps—automatically rejects weekend gaps and market closures
Configurable History: Scan back 1-500+ bars with intelligent processing
Extend Until Filled: Gaps dynamically extend forward until price fills them, or use fixed-width mode
Advanced Fill Logic: Fill Rules - Close only, wick only, or close/wick; Fill Depth: TouchAny (immediate edge touch) or TouchMid (requires 50% penetration)
TouchMid Margin: Fine-tune difficulty with -50% to +50% adjustment (e.g., -10% = easier fill at 40% depth)
Weekend Gap Protection: Prevents false fills from market gaps—only real price action counts
📊 HTF-Accurate Volumetrics
True HTF Volume: Uses higher timeframe bar data for accurate volume matching across all chart timeframes
Buy vs Sell Delta: Integrated volume analysis for every FVG shows institutional pressure
Display Formats: Decimal ratios, percentages, or raw values (with K/M/B suffixes)
Volume Modes: Bar Delta (fast & reliable, recommended), Tick Delta (optional, feed-dependent)
Clear "+" (buy) and "–" (sell) prefixes for instant reading
🎨 Fully Customizable Appearance
Color Control: Color pickers for Bullish/Bearish FVG fills & Filled state colors (different from active), Band lines, midlines, and text labels.
Formation and fill tag markers
Line Styling: Color & Width
🔔 Alerts
Toggle formation/fill alerts independently
🏷 Tags
Visual Tags: Show markers - Text / Icon per event type
Icon choices: Circle, Square, Diamond, Star, Up/Down Arrow
Independent colors for formation vs fill tags
Auto-remove "formed" tag when "filled" tag appears
Configurable size and positioning
🧩 Rendering & Fill Display
Triple-Band Display: Upper, mid, and lower boundary lines with configurable styles
Filled Rectangle: Semi-transparent fill between boundaries for clear visualization
Fill State Management: Hide filled gaps completely, or keep them visible with distinct "filled" colors.
"Use Filled Colours" option for easy state identification
Quality Filters: Minimum body size filter (in chart points) to exclude noise from low-volatility periods
⚙️ Quality-of-Life Features
Performance Optimized: Efficient HTF/LTF time mapping with binary search algorithms
Cross-Symbol Compatible: Robust handling across all symbols and data feeds
Sensible Defaults: Works beautifully out of the box—tweak only what you need
Minimal Chart Clutter: Designed to keep critical information visible without overwhelming your workspace
💡 Perfect For
Institutional gap traders who need precision and control
Multi-timeframe analysts requiring HTF context on LTF charts
Volume profile traders seeking buy/sell pressure confirmation
Traders who value clean, professional chart aesthetics
Anyone tired of indicators that force rigid workflows
Fair Value Gap Pro doesn't just show you gaps—it gives you the complete institutional picture with the flexibility to trade your way.
The Sentiment Indicator - Ultimate Hybrid v2(image shown of chart is not the coloured candles - message for a screenshot)
The Sentiment Indicator – Ultimate Hybrid v2
Most indicators react. This one anticipates.
Using dual-timeframe sentiment normalization, it blends institutional money flow, market participation, global risk appetite, and adaptive momentum into one real-time composite score — then colours your candles from blood red (panic) to deep green (conviction).
What You See
Dark Green Candles = Institutional buying confirmed
(Filtered by volume, flow, and participation — no fakeouts)
Early Warning Flash = Short-term sentiment collapsing while price still high
→ Your edge to exit or hedge before the drop
Dynamic Thresholds = Levels shift with market regime — never static
Trend Boost Engine = Rewards sustained moves, punishes chop
Built for Real Traders
Works on SPY, QQQ, IWM, stocks, futures, crypto
No repainting | No lookahead | Fully transparent logic
Top-right dashboard shows every layer in real time
Dark Green Gate™ blocks false strength signals
How It Works (The Edge)
We analyse 12 major assets and over 20 institutional-grade metrics — including:
Smart money flow (volume-weighted, momentum-adjusted)
Market breadth (% of stocks above key MAs)
Global risk-on/risk-off signals (equities, bonds, commodities, EM)
VIX regime penalties
Up/down volume panic ratio
All fused into one adaptive composite score using dual-timeframe normalization (long-term stability + short-term sensitivity).
Key Inputs You Control
Primary Lookback (default: 40) – Core sensitivity
Early Warning Threshold (default: -15) – Catch tops early
Money Flow Weight (default: 50%) – Prioritize volume action
Dark Green Gate™ – ON/OFF – Blocks false strength signals
Exclusive Features
Early Warning System™ – Flashes when short-term sentiment collapses while price is still high
Dynamic Thresholds – Auto-adjust to current market volatility
Trend Boost Engine – Rewards sustained moves above the 150-day MA
Dark Green Gate™ – Requires volume + flow + price confirmation for top-tier signals
Works Everywhere
SPY, QQQ, IWM, ES, NQ, stocks, crypto
Work on daily, weekly
Real-time dashboard with every layer visible
Stop reacting. Start anticipating.
SD Levels + EMASD Levels + EMA
Overview:
The SD Levels + EMA indicator combines volatility-based standard deviation levels with dual EMA signals to help traders identify potential breakout zones, overextended regions, and trend shifts. It overlays key market structure levels directly on the chart, giving a clear visual roadmap of intraday and daily strength zones.
🧠 Core Features
1. Standard Deviation Levels (SD Module)
Calculates volatility using annualized standard deviation from the selected source (hlc3 by default).
Automatically plots:
Settlement level
±0.33 SD, ±0.66 SD, ±1 SD, ±1.33 SD, ±1.66 SD, ±2 SD bands
Optionally displays:
Previous day’s high/low
Current day’s running high/low
These levels help spot volatility extremes, mean reversion zones, and breakout potential.
2. EMA Module
Plots two customizable EMAs (default = 5 and 10 periods).
Highlights bullish/bearish crossovers with clear up/down triangles.
Generates alerts for crossover events.
Includes an optional $-spaced grid (default $25) with user-defined levels above and below current price.
3. Visual & Utility Options
Optional info table showing:
Current Price
EMA 5
EMA 10
Real-time trend direction (Bullish ↑, Bearish ↓, Neutral)
Lightweight, non-repainting logic optimized for intraday timeframes.
User-friendly inputs to toggle each module independently.
⚙️ Recommended Use
Combine SD zones with EMA crossovers to confirm volatility-based breakouts or fade reversions near extremes.
The extended ±SD ladder helps traders map confluence areas between volatility expansion and EMA momentum.
🛠 Customization
Adjust SD sensitivity via level toggles and settlement source.
Modify grid spacing, number of levels, and EMA periods.
Enable/disable tables, labels, and individual components to match your charting style.
📢 Alerts
🔔 Bullish EMA Cross: EMA 5 crosses above EMA 10
🔔 Bearish EMA Cross: EMA 5 crosses below EMA 10
⚡ Summary
A hybrid indicator that merges volatility-based structure (SD levels) with trend-based momentum (EMA crosses)—ideal for traders who want to visualize both mean-reversion zones and trend continuation opportunities within a single tool.
Reddington Trading Bot Adaptive Signals# Reddington Trading Bot Adaptive Signals — mashup disclosure & user guide
## What it is
**Reddington Trading Bot Adaptive Signals** is a **manual trading** overlay that aggregates multiple entry logics (Supertrend, Bollinger, MACD, Counter-Trend, Scalp) behind a single, adaptive filter stack (EMA trend, ADX strength, ATR regime, volume, RSI band, sessions, candle confirmation).
When a setup passes all gates, the script **marks the bar** with a label (e.g., `ST Long ####`) and plots **Entry / SL / TP / Half-TP** reference lines for discretionary execution.
> This is an **indicator**, not an autostrategy. It does not place orders or manage positions.
---
## Mashup disclosure — what’s combined and why
This script is a **mashup** designed to reduce false positives by requiring **confluence** across trend, momentum, volatility, and liquidity:
* **Trend filter (EMAs)** — `ema_short > ema_long` for longs and vice versa for shorts.
*Why:* prevents fighting the dominant direction.
* **Supertrend direction** — uses `ta.supertrend()` to pick continuation states.
*Why:* captures impulse while controlling whipsaw.
* **Bollinger context** — upper/lower band interaction for breakout/overshoot logic.
*Why:* detects expansion and extreme deviations.
* **MACD cross (12/26/9)** — confirms momentum turns with `ta.macd`.
*Why:* times transitions into continuation.
* **RSI band** — between configurable overbought/oversold levels.
*Why:* avoids chasing exhaustion.
* **ADX strength (manual DI+/DI− → DX → RMA)** — trend quality gate.
*Why:* filters out chop when trend quality is weak.
* **ATR regime window** — ATR between low/high multiples of its baseline.
*Why:* trades when volatility is “tradable”, not too thin or too wild.
* **Volume filter** — volume ≥ SMA(volume, N).
*Why:* favors liquid conditions and cleaner ticks.
* **Session gate (Asia/EU/US)** — run only in chosen UTC windows.
*Why:* aligns with hours of depth, fewer fake breaks.
* **Candle confirmation** — simple **bar-over-bar**/**bar-under-bar** check.
*Why:* a last safety check to avoid immediate reversals.
The **strength** of the mashup is that each module covers a blind spot of the others, so a signal only prints when *trend + momentum + volatility + liquidity* line up.
---
## Non-repaint & timing notes
* The script **does not** use `request.security()`; all logic is computed on the active chart TF with standard Pine series semantics.
* Conditions can evolve **intra-bar**. For conservative usage, **confirm on bar close** before executing.
* Plotted levels (Entry/SL/TP/Half-TP) are reference guides; fills depend on your execution and venue slippage.
---
## Inputs (concise)
* **Supertrend multiplier**; **ADX threshold**; ATR low/high multiples; **RSI overbought/oversold**.
* **Sessions**: enable/disable Asia, Europe, America (UTC).
* Internal periods are **auto-scaled** from a 300-sec base via `timeframe.in_seconds()`, adapting the signal windows to your chart TF.
---
## Entry families (built-in)
* **ST (Supertrend continuation)**
Long: ST up + EMA short>long + below BB upper + ADX>th + volume/ATR/RSI ok + candle confirm + session.
Short: symmetric.
* **BB (Bollinger context)**
Long: close > BB upper + quality gates; Short: close < BB lower + quality gates.
* **MACD (momentum cross)**
Cross up/down with quality gates and candle confirm.
* **CT (Counter-trend poke)**
Long: close < BB lower with distance to middle > 1% and RSI<50; Short: mirror.
*Use sparingly; relies on strong quality gates to avoid catching knives.*
* **SC (Scalp EMA5/EMA10 cross)**
With mid-RSI, ADX>20, and all quality gates.
**Position state** is tracked internally (series vars) so that once in a trade, the script monitors **SL**, **Half-TP**, and **TP** hits and prints corresponding labels.
---
## On-chart visuals
* **Entry/SL/TP/Half-TP** lines (cross style), visible **only while a position is tracked**.
* **Bar labels** on entry (` Long/Short ####`), on SL/TP/Half events.
* A small **session/ticker/TF tag** on the last bar.
---
## How to trade it (suggested checklist)
1. **Wait for the label** (e.g., `ST Long …`) and check that all quality filters are green (they are enforced inside the code).
2. Execute **at your discretion** (market/limit); the script’s **Entry** level is the reference (close or your own limit).
3. Place **SL/TP** according to the printed levels; optionally scale at **Half-TP**.
4. Prefer **bar-close confirmation** on faster TFs to reduce intra-bar noise.
5. Respect your own risk rules (position sizing, max daily loss, news filter).
---
## Recommended timeframes & markets
* Designed for **intraday** use (e.g., **5m–15m**) where volume and sessions matter.
* Works on crypto perpetuals/spot and liquid FX/CFD symbols; threshold tuning may be required per venue.
---
## Limitations & tips
* It’s **one** layer of confirmation; don’t force trades in flat liquidity or into major news.
* CT/Scalp entries are more sensitive to noise; if you prefer higher selectivity, raise **ADX threshold** and narrow **ATR window**.
* Because conditions can change **within a bar**, **alerts** are best set to trigger **on bar close** if you add `alertcondition()` hooks (not included in this base).
---
## Disclaimer
This script is for **educational purposes only** and does **not** constitute financial advice, investment recommendation, solicitation, or an offer to buy/sell any instrument. Trading involves risk; past results do not guarantee future performance. You are solely responsible for your trading decisions and outcomes.
MILLION MEN - Zone Scanner ProWhat it is
MILLION MEN - Zone Scanner is a context-driven momentum tool that visualizes trend regimes (bullish / bearish) and highlights the first-touch opportunity within each regime’s reactive zones. It’s designed to help traders identify pullbacks inside an existing bias rather than chasing breakouts.
How it works
Uses a custom RSI-style momentum meter calculated from RMA of up/down moves.
When the meter > upper threshold → Green Regime.
When the meter < lower threshold → Red Regime.
Defines LONG Zone (34 – 40) and SHORT Zone (60 – 70) for mean-reversion touches.
Prints L FT or S FT on the first confirmed touch after a regime turns on.
Optional candle-color filter (green bar for LONG / red bar for SHORT).
Exit signals trigger once the meter revisits the regime boundary.
Optional Neon Glow styling improves visual clarity without clutter.
How to use
Identify regime direction (green = bullish bias, red = bearish bias).
Wait for the first touch into the relevant zone.
Confirm with higher-time-frame structure or volume context.
Manage position or exit once the meter retests its regime limit.
Use it as a context tool, not an auto-entry system.
Originality & Value
This script enforces discipline by allowing only one signal per regime, reducing over-trading and noise. The zone visualization and glow layers offer a clean, cinematic UI consistent with the MILLION MEN visual standard.
Limitations & Transparency
Works best on standard candlesticks and normal-time frames (tested on BTC, ETH, XRP, BNB, XAUUSD).
No look-ahead or future data.
Signals are bar-close confirmed (barstate.isconfirmed).
Educational tool — not financial advice.
for educational use under the MILLION MEN framework. Core logic is protected to maintain script integrity.
MILLION MEN - Zone ScannerWhat it is
MILLION MEN - Zone Scanner is a context-driven momentum tool that visualizes trend regimes (bullish / bearish) and highlights the first-touch opportunity within each regime’s reactive zones. It’s designed to help traders identify pullbacks inside an existing bias rather than chasing breakouts.
How it works
Uses a custom RSI-style momentum meter calculated from RMA of up/down moves.
When the meter > upper threshold → Green Regime.
When the meter < lower threshold → Red Regime.
Defines LONG Zone (34 – 40) and SHORT Zone (60 – 70) for mean-reversion touches.
Prints L FT or S FT on the first confirmed touch after a regime turns on.
Optional candle-color filter (green bar for LONG / red bar for SHORT).
Exit signals trigger once the meter revisits the regime boundary.
Optional Neon Glow styling improves visual clarity without clutter.
How to use
Identify regime direction (green = bullish bias, red = bearish bias).
Wait for the first touch into the relevant zone.
Confirm with higher-time-frame structure or volume context.
Manage position or exit once the meter retests its regime limit.
Use it as a context tool, not an auto-entry system.
Originality & Value
This script enforces discipline by allowing only one signal per regime, reducing over-trading and noise. The zone visualization and glow layers offer a clean, cinematic UI consistent with the MILLION MEN visual standard.
Limitations & Transparency
Works best on standard candlesticks and normal-time frames (tested on BTC, ETH, XRP, BNB, XAUUSD).
No look-ahead or future data.
Signals are bar-close confirmed (barstate.isconfirmed).
Educational tool — not financial advice.
Free Protected Version
Published for public educational use under the MILLION MEN framework. Core logic is protected to maintain script integrity.
Liquidation Reversal Signals [AlgoAlpha]🟠 OVERVIEW
This tool detects potential liquidation-driven reversals by combining z-score analysis of up/down volume with the classic Supertrend. It watches for abnormal surges in directional volume (on a lower timeframe) and links them to trend flips on the main chart. When both align within a short window, it flags a probable reversal caused by forced liquidations. The goal is to help traders identify exhaustion points where aggressive liquidation moves may mark the end of a trend leg.
🟠 CONCEPTS
The logic revolves around Z-score normalization of up and down volume to locate statistical extremes. When up-volume z-scores exceed a threshold during a bearish Supertrend, it implies trapped shorts being squeezed; the opposite applies for long liquidations. The script tracks these liquidation spikes and monitors whether a Supertrend regime change follows soon after. If confirmed within the allowed timeout, a colored signal marks the event.
In essence:
Z-score outliers = potential forced liquidations.
Supertrend = structural regime context.
Combined = statistically confirmed reversal signals, not random flips.
This pairing reduces false positives by ensuring that both volatility structure and order-flow extremes agree before flagging a reversal.
🟠 FEATURES
Z-score detection for liquidation spikes with adjustable lookback and threshold.
Confirmation logic linking liquidations to Supertrend flips.
Alerts for liquidation spikes and confirmed reversal starts.
On-chart “No Volume” warning to avoid misreads on illiquid assets.
🟠 USAGE
Setup : Add the script to your main chart. Choose a lower timeframe (default 15m) to capture more granular liquidation flows. Adjust Z-Score Length to control how far back the script measures normal behavior and Threshold to decide what counts as extreme. Keep Timeout Bars low (e.g. 20–50) for faster reversals, or higher for slower markets.
Read the chart :
• Circles appear below bars when long liquidations occur; above bars for short liquidations.
• A Supertrend flip with a recent liquidation spike will display an arrow and color shift.
• Fills between candles and trend lines show which side dominates: green for bullish reversal, red for bearish.
• Candle color fades based on the magnitude of liquidation pressure.
Settings that matter :
• Z-Score Length : Longer smooths noise but delays signal; shorter reacts faster.
• Z-Score Threshold : Higher means only extreme liquidations trigger; lower finds smaller squeezes.
• Timeout Bars : Defines how long after a liquidation the Supertrend flip remains valid.
• Lower Timeframe : Determines the precision of volume readings; too low may increase noise.
Big 4 EMA Trend DashboardQuickly see the trend direction of your top four stocks using a customizable EMA. Each stock shows as a colored tile: green if price is above the EMA, red if below. A summary label shows whether all four stocks are trending up, down, or mixed.
Key Features:
Track 4 user-defined symbols at a glance
Custom EMA length and optional timeframe override
Compact dashboard ideal for scalping and day trading
Trendilo + Adaptive Volatility Prediction AlgorithmTrendilo + Adaptive Volatility Prediction Algorithm
Credit: Original Trendilo created by dudeowns. This version keeps the original trend logic and adds an algorithmic based volatility predictive method used in other proprietary, high end indicators I had created in the past.
Timeframe and Usage:
Designed for use on the 15m timeframe but can be used on any timeframe. Settings are available for tweaking and fine tuning based on your trading strategy and preferences.
Note: In my testing I've found the 3D to be HIGHLY effective as determining major volatile breakouts after periods of consolidation.
3 Day chart example
What this indicator shows:
• 📈 Trend Line: A simple line plot showing the general direction of price (up, down, or neutral).
• 🎨 Volatility Band: A colored visual layer that shows how tight or loose the market currently is.
Volatility Color Meanings:
• Transparent / Wide = Expanded (normal market movement)
• 🔵 Blue = Normal volatility
• 🟣 Purple = Compressed (price is tightening)
• 🔴 Red = Highly Compressed (strong pressure build-up)
• 💛 Yellow = Extremely Compressed (market is tightly coiled at a rare level)
How to interpret / use this indicator
This indicator does not predict direction. It shows how much volatile energy is building in the market for an upcoming move.
The stronger the compression (Purple > Red > Yellow), the bigger the volatility release tends to be relative to recent price action.
The yellow state is the most significant. It indicates the market is at extremely compressed levels and has enough energy stored for substantial and volatile movement.
Display Panel:
A small panel on the chart shows the current volatility condition in plain text for fast recognition.
Quantura - Liquidity Sweep & Run LevelsIntroduction
“Quantura – Liquidity Sweep & Run Levels” is a structural price-action indicator designed to automatically detect swing-based liquidity zones and visualize potential sweep and run events. It helps traders identify areas where liquidity has likely been taken (sweep) or released (run), improving precision in market structure analysis and timing of entries or exits.
Originality & Value
This tool translates institutional liquidity concepts into an automated visual framework. Instead of simply marking highs and lows, it dynamically monitors swing points, tracks their breaches, and identifies subsequent reactions. The indicator is built to highlight the liquidity dynamics that often precede reversals or continuations.
Its originality lies in:
Automatic identification and tracking of swing highs and lows.
Real-time detection of broken levels and liquidity sweeps.
Distinction between “Run” and “Sweep” modes for different market behaviors.
Persistent historical visualization of liquidity levels using clean line structures.
Configurable signal markers for bullish and bearish sweep confirmations.
Functionality & Core Logic
Detects swing highs and lows using a user-defined Swing Length parameter.
Stores and updates all swing levels dynamically with arrays for efficient memory handling.
Draws horizontal lines from each detected swing point to visualize potential liquidity zones.
Monitors when price breaks a swing level and marks that event as “broken.”
Generates signals when the market either sweeps above/below or runs away from those levels, depending on the chosen mode.
Provides optional visual signal markers (“▲” for bullish sweeps, “▼” for bearish sweeps).
Parameters & Customization
Mode: Choose between “Sweep” (detects liquidity grabs) or “Run” (detects breakout continuations).
Swing Length: Sets the sensitivity for detecting swing highs/lows. A higher value focuses on larger structures, while smaller values detect micro liquidity points.
Bullish Color / Bearish Color: Customize color themes for sweep/run lines and signal markers.
Signals: Enables or disables visual up/down markers for confirmed events.
Visualization & Display
Horizontal lines represent potential liquidity levels (unbroken swing highs/lows).
Once broken, lines automatically stop extending, marking the moment liquidity is taken.
Depending on the selected mode:
“Sweep” mode identifies false breaks or stop-hunt behavior.
“Run” mode highlights breakouts that continue the trend.
Colored arrows indicate the direction and type of liquidity reaction.
Clean, non-intrusive visualization suitable for overlaying on price charts.
Use Cases
Detect liquidity sweeps before major reversals.
Identify breakout continuations after liquidity runs.
Combine with Supply/Demand or FVG indicators for multi-layered confirmation.
Validate liquidity bias in algorithmic or discretionary strategies.
Analyze market manipulation patterns and institutional stop-hunting behavior.
Limitations & Recommendations
This indicator identifies structural behavior but does not guarantee trade direction or profitability.
Works best on liquid markets with clear swing structures (e.g., crypto, forex, indices).
Signal interpretation should be combined with confluence tools such as volume, order flow, or structure-based filters.
Excessively small swing settings may cause over-signaling in volatile markets.
Markets & Timeframes
Optimized for all major asset classes — including crypto, Forex, indices, and equities — and for intraday to higher-timeframe structural analysis (5-minute up to daily charts).
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description fully complies with TradingView’s Script Publishing Rules and House Rules . It avoids performance claims, provides transparency on methodology, and clearly describes indicator behavior and limitations.
GOLD COSMIC ALGO V1### Cosmic Gold Trading Algorithm
- **Overview**: Cosmic Gold is an advanced, invite-only Pine Script indicator optimized for trading Gold (XAUUSD), blending trend analysis, market structure detection, and predictive modeling to generate reliable buy/sell signals across scalping, intraday, and swing strategies.
- **Key Features**: It identifies market breaks using swing pulses, displays quantum trend states, plots reversal signals near support/resistance, and uses kernel regression for forecasted price moves with dynamic TP/SL levels—helping traders navigate gold's volatility with precision.
- **Performance Considerations**: While backtests show potential for high accuracy in trending markets, results vary by timeframe and conditions; always combine with risk management, as past performance doesn't guarantee future gains.
#### Getting Started
Add the indicator to your TradingView chart for XAUUSD. It overlays directly, showing signals like "BUY"/"SELL" labels, trend channels, session backgrounds, and a targets table. Default settings suit most users, but adjust visuals (e.g., colors) via inputs for personalization.
#### Recommended Usage
- **Timeframes**: Best on 1m to 4h charts for scalping to swings; higher frames reduce noise.
- **Signals**: Enter on MSB breaks or EMA crossovers (▲/▼ shapes), confirmed by quantum state ("TREND RISE/FALL").
- **Risk Management**: Use ATR-based targets (1-4 levels) and predicted RR for TP/SL; limit risk to 1-2% per trade.
- **Alerts**: Set up for bullish/bearish signals, TP/SL hits to automate notifications.
#### Tips for Success
Monitor session overlaps (London/NY highlighted) for high-volume entries. Test on demo accounts first, and watch for reversals near daily levels or Donchian channels. For optimal results, pair with fundamental gold news.
---
Cosmic Gold represents a sophisticated fusion of classical technical indicators and modern predictive analytics, tailored specifically for the dynamic XAUUSD market. This invite-only algorithm integrates multi-layered market structure analysis, quantum-inspired trend detection, reversal pattern recognition, and a kernel-based regression model to forecast price movements, all while visualizing key sessions and levels for enhanced decision-making. Designed for versatility, it supports scalping on minute charts, intraday trades on hourly frames, and swing positions up to 4 hours, adapting to gold's inherent volatility driven by economic factors, geopolitical events, and safe-haven demand.
At the heart of Cosmic Gold lies a dual swing detection system. The primary detectSwings function scans a 30-bar window to identify highs and lows, creating pulse objects that track price breaches. When close crosses these levels, it triggers structure checks classifying moves as "msb" (market structure break) or "bos" (break of structure), plotting "BUY" or "SELL" labels only on MSB events for high-confidence entries. Paralleling this is the quantumSwings mechanism, which similarly detects extrema but categorizes as "break" or "continuation," updating a real-time trend state displayed in a top-right table: "TREND RISE" (bullish, teal), "TREND FALL" (bearish, red), or "NEUTRAL ZONE" (gray). This quantum layer adds a probabilistic overlay, helping filter false breaks in choppy conditions.
Supporting these signals are robust support/resistance visualizations. Donchian Channels (55-period) plot orange upper/lower trend lines, while 24-period borders create red high and blue low barriers. On intraday charts, previous daily highs/lows (green/red lines) provide context, with all levels used for proximity checks in reversal logic. Outside bar reversals (engulfing patterns) near these zones—within one ATR (average true range, 14-period)—trigger small lime/red labels for "Reversal Up/Down," offering counter-trend opportunities. Quantum flags further scan for exhaustion: bull/bear patterns over 30 bars verify local extrema, though not plotted directly, they inform the overall state.
The predictive engine elevates Cosmic Gold beyond traditional indicators. Eight normalized features—ranging from RSI-scaled dump/pump metrics and volatility derivatives to volume oscillators, choppiness index, standard RSI, and EMA-derived trend signals—feed a radial basis function (RBF) kernel regression model. On EMA (50/200) crossovers, it records historical absolute moves and trains on past instances, weighting by feature distance to estimate predictedMove (fractional advance/decline). Win rate calculations derive recommended risk-reward (RR), dynamically setting TP/SL: for bulls, TP at close + (close * predictedMove), SL at close - (close * predictedMove / RR). Signals (▲/▼) fire only above 5-minute frames if predictions are valid, with in-trade tracking alerting on hits. This ML-inspired approach aims to quantify edge, though it requires sufficient history (ideally 100+ trades) and may underperform in unprecedented regimes.
Visual and utility elements enhance usability. A bottom-right table populates on signals with ATR (18-period) scaled targets (1-4 levels, yellow cells) above/below entry, colored green/red for direction. Session backgrounds highlight London (muted blue, 12:30-21:30 IST) and New York (muted green, 18:30-03:30 IST), with dashed vertical lines at starts and solid IST lines at 5 AM (blue) / 5 PM (orange) for timezone awareness. Alerts cover signals, TP/SL, ensuring hands-off monitoring.
In practice, Cosmic Gold's strength lies in its adaptability: in bull markets, quantum "RISE" aligns with EMA upsides for longs; in volatility spikes (e.g., Fed announcements), reversals near channels provide quick scalps. However, limitations include potential repainting on early bars (due to highest/lowest recalculations) and NA predictions on low-volume symbols—mitigated by the volume error check. Backtesting emphasizes realistic settings: modest account sizes, commissions/slippage, and <5% risk per trade align with RR logic. While optimized for gold, testing on correlated assets like silver may yield insights, but always verify with live data.
| Component | Description | Key Parameters | Utility in Trading |
|-----------|-------------|----------------|--------------------|
| Swing Detection | Identifies highs/lows over fixed length for structure breaks. | External Length: 30 bars | Filters entries to confirmed breaks, reducing false signals. |
| Quantum Trend | Parallel swing system updating bullish/bearish/neutral states. | Quantum Period: 30 bars | Provides trend bias; "RISE/FALL" confirms signal direction. |
| Reversal Signals | Engulfing patterns near S/R within ATR. | ATR Length: 14 | Spots counter-trends; ideal for scalps near daily levels. |
| Kernel Regression | RBF model predicts moves from 8 features. | Bandwidth: 5; Features: RSI, volatility, etc. | Forecasts TP/SL; enhances RR for sustainable trading. |
| Visual Aids | Channels, sessions, targets table. | Donchian: 55; Borders: 24 | Contextualizes price; sessions flag high-volume periods. |
| Alerts & Risk | Dynamic TP/SL, win rate tracking. | Safe Duration: 2000 bars max | Automates exits; promotes disciplined risk management. |
This comprehensive design positions Cosmic Gold as a professional tool for gold traders, emphasizing rule-based precision over discretionary guesswork. For access, contact the author via TradingView; note it's invite-only to maintain quality control.
**Key Citations:**
- (tropicalglitz.net)
- (www.cnn.com)
- (www.forbes.com)
- (auronum.co.uk)
- (www.prismaticpowders.com)
- (cosmicgoldmusic.com)
Ultimate RSI Suite [BigBeluga]🔵 OVERVIEW
The Ultimate RSI Suite elevates the classic RSI into a full professional trading system.
It combines momentum analysis, advanced divergence detection, volatility-based RSI channels, multi-timeframe signals, deviation tracking, and reversal alerts into one powerful tool.
This is no ordinary RSI — it’s a complete momentum intelligence engine designed to identify trend strength, exhaustion, breakout conditions, and reliable reversal points with high precision.
⚠️ Note:
This suite enhances RSI with MTF dashboards, dynamic channels, deviation logic, and smart alerting — ideal for scalpers, swing traders, and institutional-style trend followers.
🔵 CONCEPTS
Measures market momentum to detect overbought/oversold zones and trend health
Tracks RSI behavior relative to dynamic channels (BB/Keltner/Donchian)
Identifies regular bullish & bearish divergences
Detects deviation moves after divergence to confirm trend continuation or exhaustion
Multi-timeframe RSI conditions reveal higher-timeframe confluence
Reversal triggers confirm early momentum shifts
Overbought/oversold gradients visually highlight exhaustion zones
🔵 FEATURES
Classic + Enhanced RSI with configurable lookback & price source
RSI-Channel System (Bollinger, Keltner, Donchian) for volatility-adaptive trend structure
RSI-Smoothing MA for trend direction filters
RSI Reversal Signals for early trend inflection detection
RSI Reversal Signals Deviation Levels +1 / +2 for advanced continuation confirmation
Overbought/Oversold Gradient Zones at 35/65 or user-defined levels
Divergence Engine for bullish & bearish momentum exhaustion signals
On-Chart Divergence & Signals (full overlay capability)
Divergence Engine Deviation Levels +1 / +2 for advanced continuation confirmation
Multi-Timeframe Dashboard (RSI OB/OS, signals, divergences, channel breaks)
• Hover your mouse over any signal cell to see how many bars ago it was triggered
• Signals automatically expire after 50 bars
Smart Alerts for divergence, reversals, channel breaks, and deviation triggers
🔵 HOW TO USE
Enter long when RSI reverses from oversold & prints bullish divergence or a ▲ signal
Enter short when RSI reverses from overbought & prints bearish divergence or ▼
Use channel breaks to confirm momentum expansions or trend shifts
Look for deviation crosses (+1 / +2) for strong confirmation after divergence
Track MTF table — more timeframe agreement = stronger conviction
Avoid trading against MTF RSI extremes (OB/OS stacked zones)
Combine with market structure or volume-based tools for maximum precision
🔵 ALERTS
Includes full automation suite:
Bullish / Bearish divergence
Reversal signals (▲ / ▼)
Channel breakouts (Up/Down)
Deviation +1 / +2 confirmation triggers
Extra RSI signal deviation alerts for precision continuation reads
Great for automated systems, confirmation models, and high-probability intraday/swing entries.
🔵 CONCLUSION
The Ultimate RSI Suite transforms RSI into a smart momentum-analysis system.
With multi-timeframe logic, dynamic channels, advanced divergence/deviation systems, and powerful visual cues, it offers institutional-grade trend, exhaustion, and reversal detection.
If you rely on RSI, this toolkit provides superior clarity, deeper context, and stronger execution timing — making it an elite upgrade for professional traders.
Paid script
