HAR Volatility ATR (Multi-Asset) - Andreus VillalobosIndicator based on the HAR (Hyper-Realized Volatility) model.
Combines daily, weekly, and monthly ATRs to project:
– Most probable price range (90%)
– Most probable take profit (60%)
Does not generate entry signals.
Designed for use in conjunction with:
market structure, liquidity, and price action.
Works on Forex, Indices, Gold, and Cryptocurrencies.
Chỉ báo và chiến lược
Trading Value RSI (NQ Tuned)The Trading Value RSI (NQ Tuned) is an indicator that applies the RSI calculation to trading value, defined as volume × close, rather than just price. It is specifically tuned for Nasdaq 100 futures (NQ), with a default RSI length of 24, overbought level at 75, and oversold level at 25 to filter out false signals from high volatility. The indicator visually colors the RSI line based on overbought (red), oversold (green), or neutral (blue) conditions. A horizontal midline at 50 helps identify potential trend direction changes or confirm ongoing momentum. This tool allows traders to monitor capital flow intensity, giving insight into when strong buying or selling pressure may drive short-term market moves.
Vertical Time LinesVertical Time Lines is an indicator that draws vertical lines at specific times of each day on the price chart.
⚙️ Main Features
Up to 5 independent time lines
Precise hour and minute editing (HH:MM)
Individual enable/disable option per line
Customizable line color and style
Works on any asset and any timeframe
📝 Note
Due to Pine Script limitations, the lines are drawn using UTC time, not the time zone configured on the chart.
Lines are generated only when a candle exists exactly at the configured minute. If candles for the specified hours and minutes are not visible on the chart, the lines will not be displayed.
Pre-Market Gap %Helps identify Pre Market Gap %. If Blue line is above the green dotted line, this indicates the stock is gapping up as its >1%. If the Blue line is below the dotted Red then this indicates the stock will gap down on open.
GARCH Volume Volatility [MarkitTick]Title: GARCH Volume Volatility
Description
Overview
The GARCH Volume Volatility (GV) indicator is a sophisticated quantitative tool designed to analyze the rate of change in market participation. While the vast majority of technical indicators focus on Price Volatility (how much price moves), this script focuses on Volume Volatility (how unstable the participation is).
Market volume is rarely distributed evenly; it tends to cluster. Periods of high activity are often followed by more high activity, and periods of calm tend to persist. This behavior is known as "heteroskedasticity." This script utilizes an Exponentially Weighted Moving Average (EWMA) model—a core component of Generalized Autoregressive Conditional Heteroskedasticity (GARCH) frameworks—to model these changing variance regimes.
By isolating volume volatility from raw volume data, this tool helps traders distinguish between sustainable liquidity flows and erratic, unsustainable volume shocks that often precede market reversals or breakouts.
Methodology and Calculations
1. Logarithmic vs. Percentage Returns
The foundation of this indicator is the calculation of "Volume Returns"—the period-over-period change in volume.
- The script defaults to Logarithmic Returns. In financial statistics, log returns are preferred because they normalize data that can vary wildly in magnitude (such as cryptocurrency volume spikes), providing a more symmetric view of changes.
- Users can opt for standard percentage changes if they prefer a linear approach.
2. Variance Proxy (Squared Returns)
To measure volatility, the direction of the volume change (up or down) matters less than the magnitude. The script squares the returns to create a "Variance Proxy." This ensures that a massive drop in volume is treated with the same statistical weight as a massive spike in volume—both represent a significant change in the volatility of participation.
3. GARCH-Style Smoothing (EWMA)
Standard Moving Averages (SMA) treat all data points in the lookback period equally. However, volatility is dynamic. This script uses an EWMA model with a tunable "Lambda" (Decay Factor).
- The Recursive Formula: The current calculation relies on a weighted average of the current variance and the previous period's smoothed variance.
- Memory Effect: This allows the indicator to "remember" recent volatility shocks while gradually letting their influence fade. This mimics the GARCH process of conditional variance.
4. Dynamic Statistical Thresholds
The final output is the Volatility (square root of variance). To make this data actionable, the script calculates a dynamic upper and lower limit based on the standard deviation (Z-Score) of the volatility itself over a user-defined lookback period.
How to Use
The indicator plots a histogram that categorizes the market into four distinct volatility regimes:
1. High Volatility (Red Histogram)
Trigger: Volatility > High Band (Upper Standard Deviation).
Interpretation: This signals an extreme anomaly in volume stability. This is not just "high volume," but "erratic volume behavior." This often occurs at:
- Capitulation bottoms (panic selling).
- Euphoric tops (blow-off tops).
- Major news events or earnings releases.
2. Elevated Volatility (Maroon Histogram)
Trigger: Volatility > Mean Average.
Interpretation: The market is in an active state. Participation is changing rapidly, but within statistically normal bounds. This is common during healthy, trending moves where new participants are entering the market steadily.
3. Normal/Low Volatility (Green Histogram)
Trigger: Volatility is within the lower bands.
Interpretation: The market volume is stable. There are no sudden shocks in participation. This is typical of consolidation phases or "creeping" trends where the price drifts without significant volume conviction.
4. Extremely Low Volatility (Bright Green/Transparent)
Trigger: Volatility < Low Band.
Interpretation: The "calm before the storm." When volume volatility collapses to near-zero, it implies that the market has reached a state of equilibrium or disinterest. Historically, volatility is cyclical; periods of extreme compression often lead to violent expansion.
Settings and Configuration
Core Settings
- Use EWMA: When checked (Default), uses the recursive GARCH-style calculation. If unchecked, it reverts to a simple SMA of variance, which is less sensitive to recent shocks but more stable.
- Log Returns: Uses natural log for calculations. Highly recommended for assets with exponential growth or large volume ranges.
- Length: The baseline period for the calculation.
- Threshold Lookback: The number of bars used to calculate the Mean and Standard Deviation bands.
- EWMA Lambda: The decay factor (0.0 to 1.0). A value of 0.94 is standard for risk metrics.
-- Higher Lambda (e.g., 0.98): The indicator reacts slower and is smoother (long memory).
-- Lower Lambda (e.g., 0.80): The indicator reacts very fast to new data (short memory).
Visuals
- Show Thresholds: Toggles the visibility of the statistical bands on the chart.
- High Band (StdDev): The multiplier for the upper warning zone. Default is 1.5 deviations. Increasing this to 2.0 or 3.0 will filter for only the most extreme events.
Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
RO H1 Signal CandleMarks specific H1 signal candles based on Bucharest (RO) time.
Designed for clean backtesting and time-based analysis.
Displays a small marker on selected hourly candles only.
5-Period Average of Returns (Close)This indicator calculates the 5-period average of returns of the closing price, providing a detrended, zero-centered oscillator ideal for cycle analysis and timing.
Key Features:
Detrended: Centers around zero to clearly reveal cyclical patterns.
Cycle-friendly: Highlights peaks and troughs for measuring dominant cycles.
Flexible: Can be applied to multiple timeframes (daily, weekly, intraday).
Zero Line Reference: Quickly identify directional shifts in average returns.
Foundation for Advanced Analysis: Can be combined with RSI, statistical bands, or multi-timeframe studies.
Use this indicator to:
Identify dominant cycles and their phase
Measure cycle length and rhythm
Assist in entry and exit timing based on average-return oscillations
Detrend price data for more precise technical and cyclical analysis
First 5-Min Candle DetectorHighlights the high and low of the first 5-minute candle of the regular trading session, beginning at 9:30am EST.
Trading Dashboard + Daily SMAsThis indicator is an all-in-one workspace overlay designed for futures and intraday traders. It consolidates critical market internals, session statistics, and daily technical levels into a single, highly customizable dashboard.
The goal of this script is to reduce chart clutter by placing essential data into a clean table while overlaying key Daily Moving Averages onto your intraday timeframe.
Key Features:
1. Comprehensive Market Internals Dashboard Monitor the health of the broad market directly from your chart. The dashboard includes real-time data for:
VIX: Volatility Index.
TICK & TRIN: Sentiment and volume flow indicators.
Breadth Data: ADD, ADV, and DECL (Advance/Decline lines and volume).
Multi-Ticker Watch: Monitor 3 additional assets (Defaults: NQ, RTY, YM) with real-time price and % change.
2. Session Statistics & Probabilities Automated calculation of intraday statistics based on a user-defined lookback period (default 100 days):
RTH Data: Tracks Regular Trading Hours Open, Close, and Range.
Contextual ATR: Compares current RTH range to the 14-day ATR.
Probabilities: Displays historical probabilities for "Gap Fill," "Break of Yesterday's High," and "Break of Yesterday's Low."
3. Daily SMAs on Intraday Charts Plot key Daily Simple Moving Averages (21, 50, 200) directly on your lower timeframe charts (1m, 5m, etc.) without switching views.
Fully Customizable: Toggle each SMA on/off individually.
Color Control: Users can change the color of every SMA line to fit their theme.
4. "Dark Mode" Optimized The dashboard features a specific "Very Dark Grey" (#121212) background by default, designed to reduce eye strain and blend seamlessly with dark-themed trading setups.
Settings & Customization:
Session Times: Define your specific RTH start and end times.
Symbols: All ticker symbols (VIX, ADD, NQ, etc.) can be customized in the settings menu to match your data provider.
Visibility: Every element in the table and every SMA line has a toggle switch. You only see what you need.
Visuals: Change table position, text size, and line colors.
Author's Instructions: Configuration Guide
This script relies on specific ticker symbols to pull data for Market Internals (TICK, TRIN, ADD) and the Watchlist. Depending on your data subscription plan (CME, CBOE, etc.), you may need to adjust the default symbols to match what you have access to.
1. How to Change Symbols
Add the indicator to your chart.
Hover over the indicator name in the top-left corner and click the Settings (Gear Icon).
Scroll to the "Symbols" section.
Click inside the text box for the symbol you want to change.
2. Common Symbol Formats If the default symbols show "N/A" or "Error," try these alternatives based on your data feed:
TICK (NYSE Tick)
Default: USI:TICK (Requires specific data)
Alternative: TVC:TICK (General TradingView feed)
Alternative: TICK (Generic)
TRIN (Arms Index)
Default: USI:TRIN
Alternative: TVC:TRIN
Alternative: TRIN
Breadth (ADD/ADV/DECL)
ADD (Advance-Decline Line): Try USI:ADD, TVC:ADD, or ADD
ADV (Advancing Volume): Try USI:ADV, TVC:ADV, or UVOL (Up Volume)
DECL (Declining Volume): Try USI:DECL, TVC:DECL, or DVOL (Down Volume)
VIX
Standard: CBOE:VIX or TVC:VIX
3. Setting Up the Ticker Watchlist (Ticker 1, 2, 3) The script defaults to "Continuous Contracts" (indicated by the 1!), which automatically rolls to the front month.
Nasdaq: CME_MINI:NQ1!
S&P 500: CME_MINI:ES1!
Russell 2000: CME_MINI:RTY1!
Dow Jones: CBOT_MINI:YM1!
Note: If you want to watch a specific contract month (e.g., December 2025), enter the specific code like NQZ2025.
4. Troubleshooting "N/A" Data If a cell in the table is empty or says "N/A":
Verify you are not viewing the chart on a timeframe that excludes the data (though dynamic_requests=true usually handles this).
Ensure you have the correct data permission for that specific symbol.
Market Closed: Some internal data points only populate during the active NYSE session (09:30 - 16:00 ET).
Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Past probabilities do not guarantee future results.
3 EMA with Alerts 2025This indicator plots three key EMAs (20, 50, and 200) directly on the chart, making it easy to track short-, medium-, and long-term trends. A color-coded table is displayed in the top-right corner for quick reference.
The script also includes smart alerts that trigger only when the state changes:
• 🔵 EMA 20 crossing above EMA 50 & EMA 200 → Bullish signal
• 🔴 EMA 20 crossing below EMA 50 & EMA 200 → Bearish signal
This tool is designed for traders who want clean visuals, reliable alerts, and simplified trend recognition in 2025 markets.
CRS (2 symbols: Ratio or Normalized) + InverseMade for Crosrate comparison By Leo Hanhart
This script is made to do a comparison between two assets under your current chart.
For example if you want to compare SPX over Growth ETF's Below a current asset to find momentum in your stock trading above it
Renkli EMA_MA CROSS
indicator("Renkli MA Kesişimi + Oklar", overlay=true, precision=2
fastLen = input.int(20, "Hızlı MA (Fast)")
slowLen = input.int(50, "Yavaş MA (Slow)")
maType = input.string("EMA", "MA Tipi", options= )
showArrows = input.bool(true, "Okları Göster")
fastMA = maType == "EMA" ? ta.ema(close, fastLen) : ta.sma(close, fastLen)
slowMA = maType == "EMA" ? ta.ema(close, slowLen) : ta.sma(close, slowLen)
barcolor(fastMA > slowMA ? color.new(color.green, 0) : color.new(color.red, 0))
longSignal = ta.crossover(fastMA, slowMA)
shortSignal = ta.crossunder(fastMA, slowMA)
plotshape(showArrows and longSignal, title="Al", style=shape.labelup, location=location.belowbar, color=color.green, size=size.large, text="AL")
plotshape(showArrows and shortSignal, title="Sat", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.large, text="SAT")
plot(fastMA, color=color.blue, title="Hızlı MA")
plot(slowMA, color=color.orange, title="Yavaş MA")
Pops Dividend 7-Day RadarHow traders use it as a strategy anyway 🧠
In real life, this becomes a manual or semi-systematic strategy:
Strategy logic (human-driven):
Scan for highest yield stocks
Filter for ex-date within 7 days
Apply technical rules (trend, EMAs, support)
Enter before ex-date
Exit:
Before ex-date (momentum run-up)
On ex-date
Or after dividend (reversion play)
Indicator’s role:
“Tell me when a stock qualifies so I can decide how to trade it.”
That’s exactly what this tool does.
How we could turn this into a strategy-style framework
Even though Pine won’t let us backtest dividends properly, we can:
Build a rules-based checklist (entry/exit rules)
Create alerts that behave like strategy triggers
Combine with:
EMA trend filters
Volume conditions
ATR-based exits
Label it as:
“Pops Dividend Capture Playbook” (manual execution)
This keeps it honest, legal, and reliable.
Bottom line
🧩 Indicator = what we built
📘 Strategy = how you trade it using the indicator
⚠️ TradingView limitations prevent a true dividend strategy backtest
RSI Divergence & Momentum Color//@version=5
// هذا مؤشر موحد يحدد الدايفرجنس (العادي والمخفي) ويقوم بتلوين الشموع حسب زخم RSI.
indicator(title="RSI Divergence & Momentum Color", shorttitle="RSI Divergence & MOM", overlay=true)
// --- 1. الإعدادات والمتغيرات (Inputs) ---
// إعدادات RSI
rsiLength = input.int(14, title="RSI Length", minval=1)
// إعدادات تحديد القمم والقيعان (Pivots)
pivotLeft = input.int(5, title="Pivot Lookback Left", minval=1)
pivotRight = input.int(5, title="Pivot Lookback Right", minval=1)
// --- 2. حساب مؤشر القوة النسبية (RSI Calculation) ---
rsi = ta.rsi(close, rsiLength)
// --- 3. تلوين الشموع حسب الزخم (RSI Momentum Color) ---
// فحص: هل RSI الحالي أكبر من RSI السابق؟
isRSIUp = rsi > rsi
// تحديد اللون بناءً على الشرط
var color colorRSI = na
// تلوين الشمعة باللون الأخضر إذا كان RSI صاعداً، وبالأحمر إذا كان هابطاً
if isRSIUp
colorRSI := color.new(color.green, 60) // أخضر فاتح
else
colorRSI := color.new(color.red, 60) // أحمر فاتح
// تطبيق تلوين الشمعة على الشارت الرئيسي
barcolor(colorRSI)
// --- 4. تحديد الدايفرجنس (Divergence Detection) ---
// تحديد القمم والقيعان على السعر
price_high_pivot = ta.pivothigh(high, pivotLeft, pivotRight)
price_low_pivot = ta.pivotlow(low, pivotLeft, pivotRight)
// تحديد القمم والقيعان على RSI
rsi_high_pivot = ta.pivothigh(rsi, pivotLeft, pivotRight)
rsi_low_pivot = ta.pivotlow(rsi, pivotLeft, pivotRight)
// *** المنطق المباشر للدايفرجنس (تظهر الإشارة عند القمة/القاع المكتملة) ***
// 🔵 الدايفرجنس العادي الصعودي (Regular Bullish Div)
isRegBull = price_low_pivot and rsi_low_pivot and low < low and rsi > rsi
// 🔴 الدايفرجنس العادي الهبوطي (Regular Bearish Div)
isRegBear = price_high_pivot and rsi_high_pivot and high > high and rsi < rsi
// 🟪 الدايفرجنس المخفي الصعودي (Hidden Bullish Div)
isHiddenBull = price_low_pivot and rsi_low_pivot and low > low and rsi < rsi
// 🟧 الدايفرجنس المخفي الهبوطي (Hidden Bearish Div)
isHiddenBear = price_high_pivot and rsi_high_pivot and high < high and rsi > rsi
// --- 5. رسم إشارات الدايفرجنس على السعر (Plotting Shapes) ---
// رسم الإشارات على الشارت الرئيسي (لتحديد مناطق الانعكاس/الاستمرار)
// 1. عادي صعودي (انعكاس)
plotshape(isRegBull, title="Regular Bullish Div", location=location.belowbar, style=shape.triangleup, color=color.green, size=size.small)
// 2. عادي هبوطي (انعكاس)
plotshape(isRegBear, title="Regular Bearish Div", location=location.abovebar, style=shape.triangledown, color=color.red, size=size.small)
// 3. مخفي صعودي (استمرار)
plotshape(isHiddenBull, title="Hidden Bullish Div", location=location.belowbar, style=shape.diamond, color=color.blue, size=size.small)
// 4. مخفي هبوطي (استمرار)
plotshape(isHiddenBear, title="Hidden Bearish Div", location=location.abovebar, style=shape.diamond, color=color.orange, size=size.small)
// --- 6. عرض مؤشر RSI في نافذة فرعية (Sub-Window) ---
// يجب إضافة مؤشر RSI بشكل منفصل لترى الدايفرجنس على منحنى RSI
// لكي تظهر الخطوط على منحنى RSI، يجب عليك إضافة كود المؤشر السابق (RSI Divergence Detector (Full))
// على نافذة RSI، ولكن هذا يتعارض مع طلبك دمج كل شيء.
// أفضل طريقة هي: قم بإضافة هذا المؤشر إلى الشارت، ثم أضف مؤشر RSI الافتراضي إلى نافذة جديدة.
// أو يمكنك إنشاء مؤشر RSI منفصل خاص بك في نافذة فرعية:
plot(rsi, title="RSI Value", color=color.rgb(100, 150, 200), display=display.none) // لا تعرض في الشارت الرئيسي
// لعرض RSI في نافذة فرعية، قم بإنشاء مؤشر جديد واضبط overlay=false
// أو استخدم المؤشر التالي (بما أن هذا المؤشر يحتوي على overlay=true، لن يرسم RSI أسفل الشارت).
// --- ملاحظة أخيرة: لرسم الخطوط على RSI أسفل الشارت ---
// لتحقيق ذلك بالضبط، يجب كتابة مؤشر ثانٍ بـ (overlay=false)
// يحتوي على نفس منطق الدايفرجنس. لتجنب ذلك، يكتفي هذا الكود برسم الإشارات
// على السعر (overlay=true) وتلوين الشموع.
S&R Detector by Rakesh SharmaSupport & Resistance Auto-Detector
Automatically identifies key Support and Resistance levels with strength ratings
✨ Key Features:
🎯 Intelligent S/R Detection
Automatically finds Support and Resistance levels based on swing highs/lows
Shows strength rating (Very Strong, Strong, Medium, Weak)
Displays number of touches at each level
📅 Key Time-Based Levels
Previous Day High/Low (PDH/PDL) - Blue lines
Previous Week High/Low (PWH/PWL) - Purple lines
Optional Round Numbers for psychological levels
⚙️ Fully Customizable
Adjust sensitivity (5-20 pivot length)
Filter by minimum touches (1-10)
Control maximum levels displayed (3-20)
Optional S/R zones (shaded areas)
📊 Live Dashboard
Shows nearest Support/Resistance
Distance to key levels
Total S/R levels detected
🔔 Smart Alerts
PDH/PDL breakout signals
Visual markers on chart
Perfect for: Intraday traders, Swing traders, Price action analysis
Ultimate Reversion BandsURB – The Smart Reversion Tool
URB Final filters out false breakouts using a real retest mechanism that most indicators miss. Instead of chasing wicks that fail immediately, it waits for price to confirm rejection by retesting the inner band—proving sellers/buyers are truly exhausted.
Eliminates fakeouts – The retest filter catches only genuine reversions
Triple confirmation – Wick + retest + optional volume/RSI filters
Clear visuals – Outer bands show extremes, inner bands show retest zones
Works on any timeframe – From scalping to swing trading
Perfect for traders tired of getting stopped out by false breakouts.
Core Construction:
Smart Dynamic Bands:
Basis = Weighted hybrid EMA of HLC3, SMA, and WMA
Outer Bands = Basis ± (ATR × Multiplier)
Inner Bands = Basis ± (ATR × Multiplier × 0.5) → The "retest zone"
The Unique Filter: The Real Retest
Step 1: Identify an extreme wick touching the outer band
Step 2: Wait 1-3 bars for price to return and touch the inner band
Why it works: Most false breakouts never retest. A genuine reversal shows seller/buyer exhaustion by allowing price to come back to the "halfway" level.
Optional Confirmations:
Volume surge filter (default ON)
RSI extremes filter (optional)
Each can be toggled ON/OFF
How to Use:
Watch for extreme wicks touching the red/lime outer bands
Wait for the retest – price must return to touch the inner band (dotted line) within 3 bars
Enter on confirmation with built-in volume/RSI filters
Set stops beyond the extreme wick
VixTrixVixTrix - Because markets move in both directions.
VixTrix was born from a fundamental limitation in traditional volatility indicators: they only measure downside panic, completely missing the greed-driven extremes that form market tops.
How It Works:
Dual-Component Analysis:
vixBear = Panic selling intensity (distance from recent highs)
vixBull = FOMO buying intensity (distance from recent lows)
Oscillator = vixBear - vixBull = Net fear/greed imbalance
When the oscillator is positive, fear dominates (potential bottom forming). When negative, greed dominates (potential top forming).
Professional-Grade Filtering:
The magic happens with the symmetric RMS (Root Mean Square) bands. Unlike fixed percentage bands or standard deviation, RMS:
Creates mathematically symmetric positive/negative thresholds
Naturally adapts to changing volatility regimes
Provides statistical significance to extremes
VixTrix also adds selectable MA smoothing for the RMS calculation:
WMA (default): Balanced – middle-ground approach
VWMA: Volume-weighted – filters low-volume noise
EMA: Responsive – catches quick reversals
SMA: Stable – for swing trading
HMA: Fast and smooth – ideal for day trading
Signals require triple confirmation:
Statistical Extreme: Oscillator beyond RMS band
Price Action Confirmation: Correct candle color (bullish for bottoms, bearish for tops)
Momentum Continuation: Oscillator still moving toward extreme (exhaustion)
This multi-filter approach reduces premature entries and false signals while maintaining early positioning at potential reversal points.
Why This Matters for Your Trading:
In bull markets, traditional fear indicators sit near zero, giving no warning of impending tops.
VixTrix identifies when greed becomes excessive – when FOMO buying reaches statistical extremes that often precede corrections.
In range-bound markets, VixTrix excels at identifying overreactions in both directions, providing high-probability mean reversion opportunities.
During crashes, it captures the panic selling with the same precision as VixFix, but with better timing through its momentum confirmation.
VixTrix spots continuations through:
"No Signal" = Healthy Trend – Oscillator stays between RMS bands (no exhaustion)
Failed Extremes – Touches band but no triple confirmation = trend likely continues
Hidden Divergence – Price makes higher low while oscillator makes shallower low = uptrend continues
Controlled Emotions – Oscillator negative but not extreme in uptrends (greed present but not excessive)
Key Insight: When VixTrix doesn't give a signal during a pullback, institutions aren't panicking – they're just pausing before resuming the trend.
Green columns = Bullish exhaustion (potential bottoms)
Red columns = Bearish exhaustion (potential tops)
Golden RMS bands = Dynamic thresholds adapting to current volatility
Background highlights = Active signal conditions
The Result: A professional-grade oscillator that works in all market conditions – trending up, trending down, or ranging – by measuring the complete emotional spectrum driving price action.
NQ 300+ Point Day Checklist (Bias + Alerts + Markers)This indicator helps identify high-range (≥300-point) days on Nasdaq-100 futures (NQ / MNQ) using a clear, rule-based checklist.
It evaluates volatility, compression, price displacement, prior-day structure, and overnight activity to generate a daily expansion score (0–6). Higher scores signal an increased likelihood of a strong trending or expansion day.
The script also provides:
Expansion probability levels (Normal / Watch / High-Prob)
Bullish, bearish, or neutral bias
On-chart markers and background highlights
Optional alerts for early awareness
Best used on the Daily timeframe to help traders focus on high-opportunity days and avoid overtrading during consolidation.
This is a context and probability tool — not a trade signal.
Vortex Imbalance DetectorVortex Imbalance Detector (VID)
Core Purpose:
To spot "fresh" institutional order flow entering the market, aiming to catch the early stage of a potential reversal driven by an imbalance between aggressive buyers and sellers.
It looks for moments when a surge in buying or selling pressure coincides with a sharp acceleration in price momentum at a market extreme.
The Vortex Imbalance Detector identifies high-probability reversal points by detecting simultaneous shifts in order flow (buy/sell pressure) and price momentum acceleration.
What It Does:
Order Flow Proxy: Creates a cumulative delta-like metric using price action (body vs. range) to estimate net buying or selling pressure.
Momentum Vortex: Calculates price acceleration (the rate of change of velocity) to gauge the force behind a move.
Imbalance Signal: Triggers when both conditions align:
Flow Flip: The order flow proxy crosses above/below zero with significant strength (exceeding a threshold).
Vortex Reversal: The momentum acceleration confirms the direction (positive for buys, negative for sells).
Price Extreme: The signal occurs at a recent low (for buys) or high (for sells).
Output:
Buy Signal (▲): A bullish order flow imbalance with upward momentum acceleration at a short-term low.
Sell Signal (▼): A bearish order flow imbalance with downward momentum acceleration at a short-term high.
CHOP-O-METER - Multi-Factor Choppiness DetectorA composite indicator that quantifies market choppiness using four independent measurements, helping you identify when to trade trends vs. when to sit out or fade moves.
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HOW IT WORKS
The Chop-O-Meter combines four normalized components (each scaled 0-100) into a single weighted score:
1. Price Efficiency (Kaufman-style)
Measures how efficiently price moved from point A to B. If price travels far but nets little distance, efficiency is low = high chop.
2. Direction Change Frequency
Counts how often price direction flips within the lookback period. More flips = more chop.
3. Mean Reversion Intensity
Tracks how often price crosses its moving average. Frequent crosses indicate a ranging, choppy market.
4. ATR Expansion Ratio
Compares the sum of individual bar ranges to the total period range. High ratio means lots of movement within a tight overall range = chop.
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READING THE INDICATOR
Above 65 (Red Zone): High chop — avoid trend-following, consider mean-reversion or staying flat
Below 35 (Green Zone): Trending — momentum strategies more likely to succeed
35-65 (Orange): Transitional/uncertain regime
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SIGNALS
🔻 Green triangle (top): Chop breaking down — potential trend starting
🔺 Red triangle (bottom): Trend exhausting — chop may be returning
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SETTINGS
Lookback Period: Number of bars to analyze (default 20)
Component Weights: Adjust influence of each factor
Thresholds: Customize high/low chop boundaries
Show Components: Toggle individual factor plots for debugging
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USE CASES
Filter out trend trades when chop score is high
Reduce position size in choppy regimes
Switch between mean-reversion and momentum strategies
Identify regime transitions early
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ALERTS INCLUDED
Entering High Chop
Entering Trend
Chop Breaking Down
CRUX-3 Macro Regime Index"CRUX-3 Macro Regime Index"
Description:
CRUX-3 Macro Regime Index is a higher-timeframe macro indicator designed to evaluate how crypto markets are performing relative to traditional equities. It compares Bitcoin, Ethereum, and the broader altcoin market (TOTAL3) against the S&P 500 using Z-score normalization to highlight periods of relative outperformance or underperformance.
The indicator incorporates liquidity-based regime detection using Bitcoin dominance and stablecoin dominance to classify market environments as Risk-On, BTC-Led, or Risk-Off. Background shading visually highlights these regimes, helping users identify broader macro conditions rather than short-term trade signals.
CRUX-3 is intended for macro context, regime awareness, and allocation bias decisions, not for precise trade entries or timing.
How to Use:
Weekly timeframe recommended for best results
Rising Z-scores indicate crypto outperforming equities
ETH/SPX typically acts as an early rotation signal
TOTAL3/SPX confirms broader altcoin participation
Regime shading reflects liquidity conditions, not price forecasts
Regime Definitions:
Risk-On: BTC dominance and stablecoin dominance declining
BTC-Led: BTC dominance strong while stablecoin dominance eases
Risk-Off: BTC dominance and stablecoin dominance rising
Notes:
Forward regime bands are statistical reference guides based on historical behavior
This indicator does not predict future prices or market direction
Best used alongside price charts and other macro tools
Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading recommendations.
Recommended Settings:
Timeframe: Weekly (1W)
Z-Score Lookback: 52
Forward Regime Bands: Enabled
Ahmed Gold Signals - 5M LIVE (Frequent)📈 Gold (XAUUSD) Trading Signals – Precision-Based Strategy
Our Gold signals are built on pure price action, not random indicators or guesswork.
🔍 How our signals are generated
We focus on:
🧲 Liquidity Sweeps
Identifying when price grabs stop-losses above highs or below lows and then reverses
📊 Clear trend direction using EMA 50 & EMA 200
✅ Strong confirmation candles after the sweep
🎯 Entries only in the direction of the trend to increase accuracy
🔵 BUY Signals
Bullish market structure
Price sweeps liquidity below recent lows
Strong bullish confirmation candle closes
➡️ High-probability BUY setup
🔴 SELL Signals
Bearish market structure
Price sweeps liquidity above recent highs
Strong bearish confirmation candle closes
➡️ High-probability SELL setup
⏱️ Timeframe
5-minute chart (5M)
Fast, precise signals ideal for scalping Gold
🛡️ Risk Management
Stop loss placed beyond the liquidity sweep
Clear take-profit targets
Risk-to-reward typically 1:2 or better
⚠️ Important Notes
We do not trade every move
We wait for confirmation
Quality over quantity — always
Support & Resistance Auto-Detector by Rakesh SharmaVersion 1.1 Update:
- Fixed: S/R lines now extend infinitely to the right
- Fixed: Lines move with chart when scrolling
- Added: Toggle to control line extension
- Improved: Better visibility across all timeframes
