GRAND CHAMPGRAND CHAMP is a multi-layered trading system that combines three powerful technical analysis concepts into a single, cohesive indicator. It is designed to help traders identify the macro trend, filter out noise, and pinpoint precision scalping entries based on Fibonacci retracements.
By merging Trend Following (Supertrend), Price Action (Fibonacci), and Momentum Smoothing (Heikin Ashi MA), this script allows you to view market structure without chart clutter.
Included Modules:
1. Clean Supertrend Signals (The Trend Engine)
This module uses a specific combination of ATR-based Supertrends to determine the overall market direction.
The Signals: Buy and Sell labels are generated based on a "Mid-Term" Supertrend (ATR 10, Factor 2.7). This provides the primary trade bias.
The Cloud: A background fill (Cloud) is plotted between the Mid-Term and "Slow" Supertrend (ATR 10, Factor 3.0). A Green Cloud indicates a strong Bullish zone, while a Red Cloud indicates a Bearish zone.
2. Automated 1-Minute Scalping Fibs (The Sniper Entry)
This component automates the popular "Golden Pocket" scalping strategy.
Pivot Detection: It automatically identifies Swing Highs and Swing Lows based on configurable lookback periods.
Fibonacci Levels: Once a range is defined, the script draws the 0.618 (61.8%) retracement level (Entry) and the 1.272 extension level (Take Profit).
Signals: A "BUY 0.618" or "SELL 0.618" label appears when price tests the Golden Pocket, offering high-probability reaction points within the trend.
3. Heikin Ashi Close Line (The Noise Filter)
A smoothed moving average line calculated using Heikin Ashi data (Open/Close).
This line changes color (Teal for Bullish, Red for Bearish) to visualize the immediate momentum.
It helps confirm if a breakout is real or just volatility noise.
How to Use This Indicator
The "Grand Champ" Strategy:
The most powerful way to use this script is to look for confluence between the three modules.
Check the Background Cloud: Is the Supertrend Cloud Green (Bullish) or Red (Bearish)? Trade in the direction of the cloud.
Wait for the Fib Setup: Wait for the yellow Fibonacci lines to appear, indicating a swing has formed.
The Entry Trigger:
Long: If the Cloud is Green and price retraces down to the Yellow 0.618 line, look for a bounce.
Short: If the Cloud is Red and price rallies up to the Yellow 0.618 line, look for a rejection.
Confirmation: Ensure the Close Line agrees with your trade direction (Teal for Longs, Red for Shorts).
Settings & Configuration
Supertrend Visuals: Customize the colors for the buy/sell signals and the cloud fill.
Fib Scalp: Adjust the sensitivity of the pivot points (Left/Right Bars) to fit your timeframe. You can also adjust the Entry (default 0.618) and Take Profit (default 1.272) levels.
Close Line: Choose from various Moving Average types (EMA, SMA, ALMA, VWMA, etc.) and lengths to tune the smoothing to your preference.
Cycles
BTC 4H Sharpe ratio: 1.57Backtesting Data Conclusions:
Backtesting Period: March 3, 2020 – February 4, 2026
Initial Capital: 1000 USDT
Net Profit: +157,717.59 USDT (approximately +15,771.76%)
Buy & Hold Return: +9,590.26 USDT (approximately +959.03%)
→ The strategy significantly outperformed buy & hold (during the same period).
Maximum Equity Drawdown: 6,671.78 USDT (7.94%)
→ The drawdown level is relatively mild for this type of high-frequency/scalping strategy, indicating that the overall equity curve is relatively smooth.
Profit Factor: 2.083
Sharpe Ratio: 1.547
Total Trades: 1446
Win Rate: 83.75% (1211 profitable trades / 235 losing trades)
Net Profit from Long Positions: +76,605.15; Net Profit from Short Positions: +81,112.45
→ Profitable on both long and short positions, with a slightly larger contribution from short positions.
Suggested Trading Timeframe: 4H
BTC Sharpe Ratio Test: 1.5747
ETH Sharpe Ratio Test: 1.0
SOL Sharpe Ratio Test: 1.093
XRP Sharpe Ratio Test: 1.11
Suggested Leverage: 4-5x
Trading Instruments: BTC, ETH, SOL, XRP
Farjeat Fibonacci RangesAutomatic Fibonacci levels on the chart will help you easily find reaction points in price pullbacks.
Seasonality-by-Atrader
Seasonality Extended – Enhanced Historical Monthly Pattern Analysis
This script is a comprehensive extension of the original Seasonality concept, designed to analyze historical monthly returns of any asset on TradingView. It introduces advanced filtering, visualization, and usability features that significantly expand upon the capabilities of the original version.
Overview
The script calculates month-over-month percentage changes for each year, starting from a user-defined year. Results are displayed both on the chart as projected return boxes and in a data-rich heatmap table that highlights monthly trends, average returns, standard deviation, and the percentage of positive months.
Key Enhancements
Year-Based Filtering
Users can selectively include:
Only years ending in specific digits (e.g., 1, 3, 7)
Only every n-th year (e.g., every 4th year from a reference year)
Both filters can be combined for precise cycle isolation
Exclusion of Irregular Periods
Specific months can be excluded from the analysis using a date-based input (e.g., 2008-10, 2020-03)
This allows users to remove outliers or crisis periods from historical performance data
Enhanced Heatmap Display
Adapts to year filters automatically
Resizable via input fields for width and height
Table can be positioned (left, center, or right)
Optional summary rows for averages, standard deviations, and percentage of positive months
Custom Color Configuration
Separate color selection for positive and negative returns
Customizable gradient intensity threshold
Asset Compatibility
Works across all TradingView-supported asset classes (stocks, indices, futures, crypto, forex)
Supports multi-decade data where available (e.g., TVC:DXY from the 1970s)
On-Chart Seasonality Projection
Displays expected return zones for the current month based on historical data
Shows projected price range and statistical context (standard deviation, sample size)
Use Cases
Analyzing recurring seasonal behavior
Isolating macro or election-cycle influences
Informing strategic trade planning based on historical patterns
Limitations
Table size is adjusted via inputs only (no mouse drag-resize)
Analysis is based on monthly timeframes exclusively
Chart object count is limited by TradingView’s standard restrictions
Summary
This script offers a refined and practical approach to seasonality analysis by enabling deep historical filtering, cycle-specific inclusion, and comprehensive tabular and visual output. It is tailored for analysts and traders looking to integrate long-term seasonal tendencies into their decision-making framework.
[p8+] 1337ABR v.PUBCore Features
1. HTF Candle Overlay (HTF Candle Settings)
Triple Timeframe Support: Displays up to three distinct higher timeframes simultaneously (e.g., 15m, 1H, and Daily) as ghost candles or overlays.
Custom Styling: Dynamic candle widths and spacing adjustments allow the user to view "candles within candles" for precise entry timing.
Remaining Time & Labels: Real-time countdowns for HTF candle closures to avoid premature entries.
2. Market Sessions & Killzones
Killzone Highlighting: Integrated session blocks for NQ (Nasdaq), BTC.P, and standard Time Cycles.
Visual Separators: Automatic vertical and interval separators to distinguish between trading days and specific market sessions.
3. Liquidity & Price Action Signatures
Sweep Detection: Automatically identifies and labels liquidity sweeps (High/Low runs) to highlight potential reversal zones.
Imbalance Mapping: Includes automated detection for FVG (Fair Value Gaps) and V.I (Volume Imbalance), highlighting areas of price inefficiency.
4. Advanced Correlation & Sequencing
Sequences & Gap Fills: Tracks price sequences and gap-fill levels to provide targets for mean reversion trades.
Crack in Correlation (SMT): Features a "Crack in Correlation" toggle, likely used to identify SMT Divergence between correlated assets (like NQ-ES-YM).
PSP/PCP Tracking: Specific proprietary metrics for price expansion or consolidation phases.
Auto Pair Correlation
COMMO: XAUUSD - XAGUSD - XCUUSD on OANDA/FOREXCOM/FXCM
FOREX: GBPUSD, EURUSD, USDCAD, and USDJPY on FOREXCOM
INDICES: NAS100 - US30 - SPX500 on FOREXCOM/FXCM
CRYPTO: BTCUSDT.P - ETHUSDT.P on BINANCE
This tool is essentially a Decision Support System. It reduces cognitive load by automating the identification of:
Where we are (HTF Candles).
When to trade (Market Session).
Why to trade (FVGs/Sweeps).
Who is leading (CIC).
Thx to:
All Mentors.
FVG with MTF & Alerts (Separated)Multi-Timeframe Fair Value Gap (FVG) Indicator
This script displays Fair Value Gaps (FVGs) from multiple timeframes directly on your chart, allowing you to analyze higher-timeframe market structure while trading on lower timeframes.
It helps traders identify institutional inefficiencies and key reaction zones by visualizing bullish and bearish FVGs across selected timeframes.
🔹 Key Features
Displays multi-timeframe FVGs on a single chart
Supports both bullish and bearish FVG detection
Customizable timeframe inputs
Optional visibility settings for each timeframe
Alert system included:
Alerts for all FVG formations
Separate alerts for bullish FVGs
Separate alerts for bearish FVGs
🔔 Alerts
You can enable alerts for:
Any newly formed FVG
Bullish FVG formations only
Bearish FVG formations only
This allows you to stay notified of potential trading opportunities without constantly monitoring the chart.
📈 How to Use
Use higher-timeframe FVGs (such as 1H, 4H, or Daily) for directional bias and key zones
Use lower-timeframe FVGs for precise entries
Combine with market structure, liquidity, or ICT concepts for best results
Higher-timeframe FVGs generally act as stronger support/resistance zones, while lower-timeframe FVGs are better suited for execution.
⚠️ Disclaimer
This indicator is intended for educational and analytical purposes only and should not be considered financial advice. Always apply proper risk management.
MT Trading Smart MoneyMT Trading 'Smart Money'
MT Trading SM is a market analysis tool based on Smart Money Concepts, designed to identify market context, probable price scenarios, and a structured trading plan — without generating direct buy or sell signals.
The indicator does not try to predict exact price movements or force entries.
Its purpose is to guide the trader’s decision-making process by clarifying what the market is most likely to do next and under which conditions a trade makes sense.
🔹 What the indicator does
Determines swing market context (bullish / bearish / neutral)
Analyzes market structure (BOS / CHoCH)
Tracks relevant swing order blocks
Evaluates whether price is within Smart Money areas of interest
Provides contextual trade planning, not signals
🧠 Bias / Scenario / Plan Dashboard
Instead of entry signals, the indicator displays an analytical dashboard:
Bias — probable market direction
Scenario — what price is likely to do next
Plan — how the trader should react
Example:
Bias: BEARISH ↓
Scenario: Pullback expected
Plan: Wait for price to return to premium zone and confirm structure
⚠️ Important Notes
No take-profit or risk-reward calculations
No forced entries without structure confirmation
Designed for discipline and patience, not impulsive trading
Best used alongside price action and proper risk management
🎯 Who this tool is for
Traders using Smart Money Concepts
Those who want clarity over prediction
Traders focused on structure and zones, not indicators
Traders who value planning over frequency
🧠 Core Philosophy
Not trading is also a valid decision.
This tool helps identify when the market offers no real advantage and prevents unnecessary trades.
Predator UAV🛩️ Predator UAV — Indicator Overview
Predator UAV is a multi-module market structure & execution assistant.
Think of it as 4 sensors on a drone, each scanning a different layer of price:
Module What it Sees Why it Matters
Module 1 Swing Structure (ZigZag) Trend direction & key levels
Module 2 FVGs, Imbalances, Targets, D/W/M levels Liquidity & objectives
Module 3 Swing Labels + Candle Patterns Entry timing & confirmation
Module 4 VWAP + Slope Dashboard Intraday bias & strength
You can turn any module ON/OFF independently.
🧩 MODULE 1 — ZigZag Swing High / Low (Market Structure)
What it does
Detects Swing Highs (HH / LH) and Swing Lows (HL / LL)
Draws:
Horizontal structure levels
ZigZag connections
Broken vs respected levels
Shows current swing direction in a mini table
How to use it
Bullish structure → higher lows forming
Bearish structure → lower highs forming
Best used for:
Bias filtering
Stop placement
Avoiding counter-trend trades
💡 Pro tip:
If price breaks a swing level and holds → structure shift confirmed.
🧱 MODULE 2 — FVGs, Imbalances, Targets & HTF Levels (Liquidity Engine)
This is the core execution intelligence.
A️⃣ Fair Value Gaps (FVGs)
Bullish FVG → price inefficiency below price
Bearish FVG → inefficiency above price
Options:
Extend none / limited / default
Limit number on chart
Show midpoint equilibrium
Usage
Price returning into FVG = high-probability reaction zone
Best entries = FVG + structure + VWAP bias
B️⃣ Imbalances
Based on strong displacement candles
Shows where price moved too fast
Usage
Often aligns with:
Breakouts
Stop runs
Momentum continuation
C️⃣ Swing Targets
Automatically marks next logical target
Swing Highs for longs
Swing Lows for shorts
Usage
Use as:
Take-profit zones
Partial exits
Trail stop reference
D️⃣ Previous Day / Week / Month Highs & Lows
Institutional liquidity magnets
Extremely effective on indices & forex
Usage
Expect:
Rejections
Stop hunts
Reversals near these levels
🔍 MODULE 3 — Swing Labels + Candle Patterns (Entry Timing)
This module answers: WHEN to enter?
Swing Labels
HH / HL / LH / LL printed directly on chart
Candle Patterns Detected
Hammer
Inverted Hammer
Bullish Engulfing
Bearish Engulfing
Hanging Man
Shooting Star
Each label includes:
Pattern name
Tooltip explanation (educational)
Usage
Never trade patterns alone
Best when combined with:
FVG
VWAP
Structure level
📐 MODULE 4 — VWAP with Slope Dashboard (Bias & Strength)
This is your intraday compass.
What it shows
Session VWAP
VWAP slope (numeric + angle)
Direction:
↗ Bullish
↘ Bearish
→ Neutral
Strength:
Weak
Moderate
Strong
How to read it
Above VWAP + positive slope → long bias
Below VWAP + negative slope → short bias
Flat slope → scalp only or wait
💡 Pro tip:
Strong VWAP slope + FVG pullback = A-grade setup.
🎯 COMPLETE TRADING TUTORIAL (Step-by-Step)
Step 1 — Determine Bias
Use Module 1 + Module 4
Structure bullish?
VWAP slope bullish?
✅ If aligned → look for longs
❌ If mixed → reduce size or wait
Step 2 — Identify POI (Point of Interest)
Use Module 2
Bullish:
Bullish FVG
Prior swing low
VWAP pullback
Bearish:
Bearish FVG
Prior swing high
VWAP rejection
Step 3 — Wait for Entry Confirmation
Use Module 3
Look for:
Engulfing
Hammer / Shooting star
Swing HL / LH confirmation
Step 4 — Define Targets
Use Next Target
Or Previous Day / Week Highs
Partial TP near first liquidity pool
Step 5 — Risk Management
SL beyond:
FVG boundary
Swing high/low
Trail using:
VWAP
Structure breaks
🧠 Best Timeframes
Purpose TF
Bias 15m / 30m
Setup 5m
Entry 1m–3m
Scalping VWAP + FVG only
⚠️ Common Mistakes to Avoid
❌ Trading every FVG
❌ Ignoring VWAP slope
❌ Counter-trend without confirmation
❌ Overloading chart (turn unused modules off)
🚀 Final Thought
Predator UAV is not a signal generator.
It’s a decision-support system — when multiple modules align, probability shifts in your favor.
SIGMA Market Sessions Boxes)//@version=5
indicator("SIGMA Market Sessions Boxes)", overlay=true)
// ===== عدد الأيام =====
maxDays = input.int(5, "Days to Show", minval=1)
// ===== الجلسات =====
americasSession = input.session("0700-0701","Americas")
frankfurtSession = input.session("0700-0701","Frankfurt")
londonSession = input.session("0800-0801","London")
nySession = input.session("0930-0931","New York")
chinaSession = input.session("0930-0931","China")
tokyoSession = input.session("0900-0901","Tokyo")
// ===== المناطق الزمنية =====
americasTZ = "America/New_York"
frankfurtTZ = "Europe/Berlin"
londonTZ = "Europe/London"
nyTZ = "America/New_York"
chinaTZ = "Asia/Shanghai"
tokyoTZ = "Asia/Tokyo"
// ===== تفعيل الجلسات (كلها ON) =====
showAmericas = input.bool(true, "Americas", group="Sessions")
showFrankfurt = input.bool(true, "Frankfurt", group="Sessions")
showLondon = input.bool(true, "London", group="Sessions")
showNY = input.bool(true, "New York", group="Sessions")
showChina = input.bool(true, "China", group="Sessions")
showTokyo = input.bool(true, "Tokyo", group="Sessions")
// ===== بيانات الدقيقة وتمريرها لكل الفريمات =====
hi1 = request.security(syminfo.tickerid,"1", high, lookahead=barmerge.lookahead_on)
lo1 = request.security(syminfo.tickerid,"1", low , lookahead=barmerge.lookahead_on)
newDay = request.security(syminfo.tickerid,"1", ta.change(time("D")), lookahead=barmerge.lookahead_on)
americasOpen = request.security(syminfo.tickerid,"1", not na(time("1",americasSession,americasTZ)), lookahead=barmerge.lookahead_on)
frankfurtOpen = request.security(syminfo.tickerid,"1", not na(time("1",frankfurtSession,frankfurtTZ)),lookahead=barmerge.lookahead_on)
londonOpen = request.security(syminfo.tickerid,"1", not na(time("1",londonSession,londonTZ)), lookahead=barmerge.lookahead_on)
nyOpen = request.security(syminfo.tickerid,"1", not na(time("1",nySession,nyTZ)), lookahead=barmerge.lookahead_on)
chinaOpen = request.security(syminfo.tickerid,"1", not na(time("1",chinaSession,chinaTZ)), lookahead=barmerge.lookahead_on)
tokyoOpen = request.security(syminfo.tickerid,"1", not na(time("1",tokyoSession,tokyoTZ)), lookahead=barmerge.lookahead_on)
// ===== مصفوفات =====
var box boxesArr = array.new_box()
var label lblArr = array.new_label()
// ===== دالة إنشاء صندوق =====
createBox(_cond,_col,_name)=>
if _cond
b = box.new(bar_index, hi1, bar_index + 1, lo1, border_color=_col, bgcolor=color.new(_col, 80))
l = label.new(bar_index, hi1, _name, style=label.style_label_left, color=_col, textcolor=color.black, size=size.small)
array.push(boxesArr, b)
array.push(lblArr, l)
// ===== أول دقيقة من اليوم =====
if newDay
createBox(true, color.gray, "First")
// ===== الجلسات =====
if showAmericas
createBox(americasOpen , color.green , "Americas")
if showFrankfurt
createBox(frankfurtOpen, color.purple, "Frankfurt")
if showLondon
createBox(londonOpen , color.blue , "London")
if showNY
createBox(nyOpen , color.red , "New York")
if showChina
createBox(chinaOpen , color.orange, "China")
if showTokyo
createBox(tokyoOpen , color.yellow, "Tokyo")
// ===== تحديث الصناديق =====
if array.size(boxesArr) > 0
for i = 0 to array.size(boxesArr) - 1
bx = array.get(boxesArr, i)
lb = array.get(lblArr, i)
box.set_right(bx, bar_index)
label.set_x(lb, box.get_left(bx))
label.set_y(lb, box.get_top(bx))
// ===== حذف الأيام القديمة =====
maxObjects = maxDays * 7
while array.size(boxesArr) > maxObjects
box.delete(array.shift(boxesArr))
label.delete(array.shift(lblArr))
QUANT - LAB MICROSTRUCTUREMarket microstructure analysis suite for liquidity diagnostics and transaction cost estimation.
Liquidity Metrics:
Return-Volume Sensitivity (Hasbrouck 1991 inspired proxy)
Roll Spread Estimator (Roll 1984) — effective spread from price autocovariance
Amihud Illiquidity Ratio (Amihud 2002) — price impact per dollar volume
Features:
Z-score normalization with configurable lookback
Automatic regime classification (Normal/Elevated/Extreme)
Roll validity detection (Cov < 0 requirement)
Data quality metrics and validity percentage tracking
Interpretation:
RVS: Price sensitivity to order flow (higher = more impact)
Roll: Effective bid-ask spread in bps (undefined when Cov > 0)
Amihud: Illiquidity measure (higher = harder to trade)
Dashboard Includes:
Real-time Z-scores with regime labels
Dollar volume and volume trend (20/60 ratio)
Realized volatility (annualized)
Roll spread validity monitoring
Important:
Z-scores are HEURISTIC thresholds (fat tails apply — ±2σ ≠ 95%)
RVS uses endogenous proxy — NOT true Kyle's Lambda
Roll undefined when serial covariance > 0 (momentum regime)
Research/diagnostic tool only — NOT a trading system
References: Kyle (1985), Roll (1984), Amihud (2002), Hasbrouck (1991), Lee & Ready (1991)
QUANTA - LAB MOMENTUMMOMENTUM-LAB V1.1 FORENSIC
Institutional momentum analysis suite with volatility scaling, crash detection, and risk management.
Momentum Analysis :
Multi-horizon momentum (short/medium/long formation periods)
Z-score normalized composite signal
Skip-period implementation to avoid microstructure noise
Volatility Scaling :
Target volatility position sizing
GJR-GARCH(1,1) forecasting with adaptive parameter estimation
Leverage bounds (min/max constraints)
Crash Detection :
Bear market identification
Panic state detection (vol spike + negative returns)
Dynamic position reduction during momentum crashes
Risk Metrics:
VaR/CVaR (historical and Cornish-Fisher)
Drawdown-based position adjustment
Skewness and excess kurtosis monitoring
Amihud illiquidity measure
Signal Features:
Anti-repaint mode (bar close confirmation)
Optional signal confirmation filter
Variance ratio regime detection (trend/revert/random)
Important:
Diagnostic research tool — NOT a trading system
Single-asset analysis (no cross-sectional factors)
Does not include transaction costs
Validate in Python before deployment
References: Jegadeesh & Titman (1993), Daniel & Moskowitz (2016), Barroso & Santa-Clara (2015), GJR (1993), Lo & MacKinlay (1988), Amihud (2002)
Mean Reversion OpportunityIdentifies when price is trading within an established range. Values between +200 and -200 signal mean reversion opportunities. Breaks beyond these levels suggest ranging behavior has ended.
pump dump🔮 Pump & Dump Detector Pro This is a sophisticated multi-factor indicator designed to identify sudden price spikes (pumps) and crashes (dumps) in volatile markets like crypto, penny stocks, and meme coins.🎯 What It DoesAnalyzes 8 different technical factors simultaneously and assigns a score to each potential pump or dump. When the score exceeds a threshold, it triggers an alert. Think of it as a "market manipulation detector" that catches explosive moves early.📊 Core Detection System🚀 Pump Detection (8 Factors Scored)The indicator scores potential pumps based on:
Price Surge (Weight: 2 points)
Green candle with +3.5% or higher move
Volume Spike (Weight: 2 points)
Volume 2.5x+ above 20-period average
ATR Expansion (Weight: 1 point)
Candle range 2x+ the Average True Range
Strong Momentum (Weight: 1 point)
10-period Rate of Change ≥ 5%
RSI Overbought (Weight: 1 point)
RSI(14) above 80
Stochastic Confirmation (Weight: 1 point)
Stochastic RSI above 80
Bollinger Band Breakout (Weight: 1 point)
Price closes above upper BB
MACD Bullish (Weight: 1 point)
MACD histogram positive and increasing
Total Possible Score: 10 points💥 Dump Detection (8 Factors Scored)Mirror image for bearish moves:
Price drop ≤ -3.5%
Volume spike on red candle
ATR expansion downward
Negative momentum ≤ -5%
RSI oversold < 20
Stochastic < 20
Price below lower BB
MACD bearish
🎛️ Preset Modes1. 🏆 High Win Rate (Default)
Best for: Conservative traders, swing trading
Signal frequency: Low (only strongest setups)
Settings:
Price threshold: 3.5%
Volume multiplier: 2.5x
Minimum score: 4/10
RSI levels: 80/20
2. ⚡ Aggressive
Best for: Scalpers, day traders
Signal frequency: High (catches more moves)
Settings:
Price threshold: 2.0%
Volume multiplier: 1.5x
Minimum score: 2/10
RSI levels: 70/30
3. ⚖️ Balanced
Best for: Most traders
Signal frequency: Medium
Settings:
Price threshold: 2.5%
Volume multiplier: 1.8x
Minimum score: 3/10
RSI levels: 70/30
4. 🛡️ Conservative
Best for: Position traders, avoiding noise
Signal frequency: Very low (only extreme moves)
Settings:
Price threshold: 4.0%
Volume multiplier: 3.0x
Minimum score: 5/10
RSI levels: 85/15
5. 🎯 Custom
Best for: Advanced users
Fine-tune all parameters yourself
🎨 Visual SignalsChart MarkersStandard Pump/Dump:
🟢 Green triangle below bar = PUMP
🔴 Red triangle above bar = DUMP
Confirmed Signals (Higher Score):
🚀 Large gold triangle = CONFIRMED PUMP (score ≥ 5)
💥 Large gold triangle = CONFIRMED DUMP (score ≥ 5)
Early Warnings:
⚠️ Small orange circle = Early warning (score just below threshold)
Signal Zones:
Light green background = Pump zone
Light red background = Dump zone
DXY vs Small-Cap Divergence [v6]It creates a dedicated panel to monitor the "tug-of-war" between the US Dollar (DXY) and the Russell 2000 (IWM).
As a swing trader, you are looking for Negative Correlation—specifically, the moment the DXY starts to fall while Small Caps maintain their strength.
How to Interpret This on Your Desktop:
Green Background: This highlights the exact bars where the DXY is dropping while the Russell 2000 is gaining ground. This can be your "Go" signal for the small caps that you are monitoring near pivots, prior levels, POC's, or value area highs or lows.
The Green Line (Bottom of the oscillator): When the line hits -0.8, it means the two assets are moving in nearly perfect opposite directions. For a gold bounce and small-cap rally, you want to see this line deep in the green.
The Red Line (Top of the oscillator): If this line stays near +0.8, it means the Dollar and Stocks are moving together. This usually indicates a "Liquidity Flush" where everything is being sold—stay cautious during these periods.
Ramesh Servai Intraday Indicator Feb 2026 for Sale)This proprietary intraday indicator is designed Mr Ramesh Servai to identify high-probability market structure and pullback zones using a multi-EMA framework combined with VWAP dynamics. It helps traders stay aligned with directional bias, spot controlled pullbacks, and time entries with greater precision during active market hours.
This is a private, proprietary tool and is not publicly available.
For access and licensing details, please reach out via email at:
Midnight Open Retracement [LuxAlgo]The Midnight Open Retracement indicator highlights the 12:00 AM ET opening price and provides real-time probability statistics for price retracing to this level during the New York session.
Designed specifically with NQ (Nasdaq 100) futures data in mind, the tool helps traders identify high-probability "magnet" levels for New York open scalps based on historical performance.
🔶 USAGE
The Midnight Open is a cornerstone of ICT concepts, acting as a "true" daily open that often serves as a point of institutional re-accumulation or distribution. This script automates the identification of this level and provides a dashboard to help traders decide when to expect a retracement.
🔹 Identifying the Bias
The script compares the New York opening price (9:30 AM ET) to the Midnight opening price:
If NY opens above the Midnight Open, the indicator identifies a potential bearish retracement bias toward the level. If NY opens below the Midnight Open, the indicator identifies a potential bullish retracement bias toward the level.
🔹 Using as a Profit Target
Because the Midnight Open is retraced to frequently, it serves as an ideal Take Profit (TP) target for opening range scalps. The indicator marks the exact moment a retracement occurs with a visual marker, confirming the level has been tested.
🔶 DETAILS
The statistics integrated into this tool are based on extensive backtesting of NQ futures over 6-month periods. Understanding these probabilities allows traders to filter out low-conviction setups and focus on high-probability days.
🔹 The Core Probabilities
When price opens above the midnight level, it retraces to touch it 74% of the time. When price opens below the midnight level, it retraces to touch it 63% of the time.
🔹 Weekday Variance
Not all trading days are equal. The script accounts for "By Weekday" statistics:
High Probability (Wednesdays): On Wednesdays, retracement probabilities can jump as high as 89% for opens above the midnight level. Low Probability (Mondays): Mondays often exhibit "Avoid" criteria, with retracement probabilities frequently falling below 60%.
The dashboard dynamically updates the "Probability of Retracement" based on the current day of the week, helping you stay aligned with historical data.
🔶 SETTINGS
🔹 Session Settings
Timezone Mode: Choose between Exchange time or "America/New_York" (recommended for ICT concepts). Midnight Open Time: The specific time used to set the daily baseline. NY Open Time: The time used to determine the session opening bias. NY Session Range: Defines the boundary for the New York session box.
🔹 Visual Settings
Show Midnight Level: Toggles the horizontal line representing the midnight price. Show Retrace Circle: Displays markers on the chart when the retracement goal is met. Show NY Session Box: Draws a dynamic box for the NY session that changes color based on the current price relative to the open.
🔹 Dashboard Settings
Show Insights Report: Toggles the statistics dashboard on the chart. Position/Size: Controls the UI placement and scale of the data table.
High&Low - Scalping🔹 High and Low Scalping – Key Levels Indicator 🔹
High and Low Scalping is an indicator designed for active traders and scalpers who want to instantly identify the most important price levels in the market.
The indicator automatically plots:
📈 The monthly high and low
📊 The previous week's high and low (weekly)
⏱️ The previous day's high and low (daily)
These levels are recognized as major liquidity zones, which are often respected by the price and used by institutions.
⚙️ Main features
✔️ 100% automatic update
✔️ No manual calculations required
✔️ Clear and quick reading of the market
✔️ Compatible with scalping, day trading, and intraday trading
🎯 Why use High and Low Scalping?
Identify price reaction zones
Spot precise scalping opportunities
Improve entry and exit timing
Trade with a clean and objective market structure
This indicator is an essential tool for any trader who wants to rely on reliable, simple, and effective technical levels without overloading their chart.
Today High Low (Test)This invite-only indicator displays the current trading day’s High and Low levels, updating in real time as price action unfolds. The levels dynamically adjust whenever a new intraday high or low is formed and automatically reset at the start of each new trading day based on the exchange session.
Built to be lightweight, fast, and non-repainting, the indicator works reliably across all intraday timeframes and asset classes, including stocks, futures, forex, and crypto. The plotted levels act as key intraday reference points, commonly used by traders to identify potential areas of support, resistance, liquidity, and breakout or rejection zones.
This tool is intended for private use and controlled testing only. It is designed to complement existing trading strategies by providing clear structural context, rather than generating standalone trade signals. Access is limited to invited users for evaluation and feedback purposes.
Portfolio Table v5 This lightweight and functional tool allows traders to track multiple stock positions directly on their chart in a clean, organized table. Specifically designed with the Tel Aviv Stock Exchange (TASE) in mind, it includes a built-in toggle to handle price conversions between Agorot and NIS.
LongToken SMC: No-BE Edition + Pro Stats v3LongToken SMC: 3TP No-BE Edition + Pro Stats v3 is a high-end trading indicator built on the Smart Money Concept (SMC), focusing on market structure, liquidity, and the behavior of large money flows.
The indicator automatically identifies high-probability trading setups and clearly displays Entry – Stop Loss – 3 Take Profits, optimized for the No Break-Even (No-BE) strategy to avoid premature breakouts due to market noise.
Key Features
📌 Standard SMC Entry: Based on institutional price structure and cash flow
🎯 3 Fixed Take Profits: Targeting liquidity zones & price imbalances (IMB/FVG)
🛑 No Break-Even: Keeps orders logically in place, avoiding unnecessary stop-loss sweeps
⚖️ Optimal Risk Management: Reasonable R:R, enhancing long-term profit expectations
🔍 Clean and Easy-to-Read Interface: Focuses on Price Action, avoiding distractions
Suitable for
Price Action & SMC Traders
Traders who want clear order entry and disciplined order management
Traders who prioritize accuracy and consistency over placing many orders
Traders who follow structure – hold orders based on cash flow – profit is a consequence.
FB Kong TrademakerFB Kong Trademaker is a rule-based trading engine designed with a strong focus on statistical price behavior and repeatable market structure.
Instead of predicting the future, the system analyzes price deviation, mean interaction, and probabilistic reaction zones derived from historical data.
