Volatility of Volatility (Quant Lab)• VOV (white line)
• Around 0 → Volatility fluctuates normally
• Upward spike → Volatility changes very rapidly
• Often occurs during periods of breakouts, collapses, liquidations, and sharp trends
• When it stays low downwards → Volatility is stable, the market is moving at its “usual pace” • Regime histogram (columns)
• +1 (reddish) → Volatility Expanding
• Risk is increasing, “storm mode”
• Trend burst, flash move, news, liquidation effect
• 0 (orange) → Neutral
• Volatility behavior is normal
• -1 (turquoise) → Volatility Contracting
• Volatility is decreasing, movements are becoming smaller
• This may be a period before a big move after a squeeze
Keep this in mind:
• Volatility Regime → “What is the volatility level?”
• Volatility of Volatility → “How much is that volatility changing?”
When VoV spikes:
“Not only is market movement increasing, but the structure of the movement is also deteriorating; risk mode has been activated.”
This is crucial for identifying crash/pump periods.
Indicadores e estratégias
Volatility Regime (Quant Lab)The Volatility Regime Indicator measures the current volatility environment of the market by combining two independent volatility metrics:
1. ATR-based volatility (how large price bars are)
2. Return standard deviation (how noisy or unstable returns are)
Both components are normalized (Z-score), averaged, and smoothed to produce a single Volatility Score, which identifies the market’s volatility regime.
The indicator classifies volatility into three distinct regimes:
Low Volatility (score < threshold)
• The market is calm and compressed.
• Price ranges are tight and movement is limited.
• Breakouts typically originate from this regime.
• Mean-reversion strategies perform best here.
Normal Volatility (within thresholds)
• The market is behaving normally.
• Trend-following and swing trades are stable.
• Risk is moderate.
High Volatility (score > threshold)
• The market is aggressive and unstable.
• Large price swings, news shocks, liquidations, manipulation possible.
• Risk and opportunity are both high.
• Leverage should be reduced or avoided.
A background color and regime histogram help visualize regime transitions instantly.
⸻
⭐ What this indicator tells you (Short Summary):
This indicator answers the question:
“Is the market calm, normal, or dangerous right now?”
You should interpret it as:
• Low Volatility → market is quiet, accumulation/squeeze phase, breakout likely soon.
• Normal Volatility → ideal trading conditions; trends behave cleanly.
• High Volatility → chaotic market; big moves coming; manage risk carefully.
The Volatility Regime Indicator helps you choose:
• Which strategy type to use (trend vs mean reversion)
• What stop size is appropriate
• Whether a breakout is real or likely to fail
• When to reduce position size due to risk expansion
It is a core tool used by quantitative traders to understand market conditions before applying any strategy.
FVG vertical Created by Alphaomega18
🎯 What is an FVG (Fair Value Gap)?
A Fair Value Gap is a price imbalance created by a mismatch between buyers and sellers, formed by 3 consecutive candles where:
Bullish FVG: The low of the current candle is above the high of the candle 2 periods ago
Bearish FVG: The high of the current candle is below the low of the candle 2 periods ago
⚙️ Indicator Settings
Display Group:
Show Bullish vertical FVG: Display bullish vertical FVGs (green) ✅
Show Bearish vertical FVG: Display bearish vertical FVGs (red) ✅
Box Extension (bars): Zone extension duration (1-50 bars, default: 10)
Show Labels: Display labels with gap size 🏷️
Remove When Filled: Automatically remove filled zones ✅
📊 Visual Elements
FVG Zones:
🟢 Green = Bullish vertical FVG (potential support zone)
🔴 Red = Bearish vertical FVG (potential resistance zone)
Labels:
Show gap size in points
Positioned at the beginning of each zone
Dashboard (top right corner):
Real-time count of active FVGs
🟢 = Number of bullish vertical FVGs
🔴 = Number of bearish vertical FVGs
Candle Coloring:
Light green background = Candle forming a bullish vertical FVG
Light red background = Candle forming a bearish vertical FVG
🎯 How to Use the Indicator
1. Installation:
Open TradingView
Click "Indicators" at the top of the chart
Search for "FVG Clean" or paste the code in the Pine Editor
2. Trading Strategies:
Support/Resistance:
Bullish vertical FVGs act as support zones
Bearish vertical FVGs act as resistance zones
Price tends to return to "fill" these gaps
Position Entries:
Long: Wait for a return to a bullish vertical FVG + confirmation
Short: Wait for a return to a bearish vertical FVG + confirmation
Position Management:
Place stops below/above FVGs
Use FVGs as price targets
A filled FVG loses its validity
🔔 Alerts
The indicator includes 2 configurable alert types:
Bullish vertical FVG: Triggers when a new bullish vertical FVG forms
Bearish vertical FVG: Triggers when a new bearish vertical FVG forms
To configure: Right-click on chart → "Add Alert" → Select desired alert
💡 Usage Tips
✅ Do:
Combine with other indicators (volume, momentum)
Wait for confirmation before entering
Use across multiple timeframes
Respect your risk management
❌ Don't:
Trade solely on FVGs without confirmation
Ignore the overall market trend
Overload your chart with too many zones
🔧 Parameter Optimization
Scalping (1-5min):
Box Extension: 5-10 bars
Remove When Filled: Enabled
Day Trading (15min-1H):
Box Extension: 10-20 bars
Remove When Filled: Enabled
Swing Trading (4H-Daily):
Box Extension: 20-50 bars
Remove When Filled: As preferred
📈 Performance
Maximum 100 FVGs of each type in memory
Automatic removal of oldest ones
Optimized to not slow down your chart
Compatible with all markets and timeframes
Volume-Based Candle Shading Pro [LTS]Overview
Volume-Based Candle Shading Pro is a visual aid that highlights how “unusual” each bar’s volume is compared to recent activity. It adjusts candle colors based on whether volume is above, below, or near its average, helping you quickly spot high-activity pushes and quiet rotations on any symbol or timeframe.
How it works
For each bar, the script calculates a simple moving average of volume over a user-defined lookback. It then compares the current bar’s volume to that average.
Bullish candles start from a bullish base color, and bearish candles from a bearish base color. Depending on the volume ratio, that base color is blended toward a “high volume mix” color when volume is elevated, or toward a “low volume mix” color when volume is muted. The strength of the blend increases as the bar’s volume moves further away from the average, so extreme volume stands out visually while average bars remain close to the base colors.
Colors are applied with the built-in barcolor() function, so the indicator only affects candle appearance; it does not modify price, volume, or any other chart values.
Inputs
Bullish Base Color / Bearish Base Color
Primary colors used for up and down candles when volume is close to its average.
High Volume Mix Color
Color that is blended into the base color when volume is above its moving average. This is typically chosen as a darker or more intense shade to make heavy-volume bars stand out.
Low Volume Mix Color
Color that is blended into the base color when volume is below its moving average. Many users choose a lighter shade to visually de-emphasize low-participation bars.
Volume MA Length
Number of previous bars used to compute the average volume. Shorter lengths make the shading respond more quickly to recent changes in activity; longer lengths provide a smoother, more stable baseline.
Typical use cases
Highlighting high-volume breakouts, breakdowns, or rejection candles without adding extra panels or indicators.
Distinguishing between strong, well-participated moves and low-volume drifts that may be less significant.
Combining with your existing price-action tools to visually filter which candles deserve more attention based on relative volume.
All calculations are based on historical volume and the current bar only; the script does not use future data or repaint past candles. It is intended as a visual aid and should be combined with your own analysis and risk management.
Log Returns (Quant Lab)Log Returns Indicator
This indicator calculates the logarithmic return of each bar using the formula:
logReturn = ln(Close / Close )
It then visualizes:
• A log-return histogram (green for positive, red for negative returns)
• A rolling mean of log returns (yellow line)
• ±1 standard deviation bands around the mean (orange lines)
This indicator is used to:
• Measure the true statistical return behavior of the asset
• Detect volatility expansions and contractions
• Identify abnormal return spikes (news, liquidation cascades, manipulation)
• Evaluate market efficiency and momentum strength
• Prepare quantitative features for machine learning models
In simple terms, the Log Returns indicator shows whether the asset’s recent price behavior is normal or statistically unusual.
Trend Exhaustion Strategy [9,13]
** **
**Overview**
Trend Exhaustion Strategy is a specialized market timing tool designed to identify potential trend fatigue and price reversals. Based on classic 9-13 market timing logic, this indicator introduces a unique **Dynamic Support & Resistance Engine**.
Unlike standard counters, this script automatically projects active support and resistance levels from completed pattern phases. These lines serve as critical reference zones for trade management.
**Key Features**
* **Trend Exhaustion Detection:** Identifies potential market turning points using a two-phase structure:
* **Setup 9:** Highlights short-term momentum pauses.
* **Extension 13 (Phase 2):** Signals longer-term trend depletion and high-probability reversal zones.
* **Dynamic Extension Lines:**
* When a Setup 9 or Extension 13 completes, a horizontal level is instantly generated.
* **Resistance Lines (Red):** Generated at Tops.
* **Support Lines (Green):** Generated at Bottoms.
* **Smart Collision Detection:** The lines automatically extend to the right and terminate only when the price "collides" with or invalidates them.
**How to Use**
1. **Reversal Signals:** Look for the triangle icons (Setup 9) and labels (S13/B13). These often precede a pause or reversal.
2. **Breakout/Bounce Play:**
* Price approaches **Red Line** from below: Watch for rejection (Short).
* Price approaches **Green Line** from above: Watch for bounce (Long).
**Settings**
* **Recycle Mechanism:** Option to restart the count if specific conditions are met.
* **Visual Customization:** Fully adjustable line styles and colors.
-----
** **
**概述**
Trend Exhaustion Strategy (趋势耗尽策略) 是一款市场择时工具，旨在识别趋势疲劳和潜在的价格反转。本指标基于经典的 9-13 市场择时逻辑，并引入了独特的**动态支撑/阻力引擎**。
与普通计数器不同，该脚本会从完成的形态阶段自动生成有效的支撑和阻力线，为交易提供关键参考。
**核心功能**
* **趋势耗尽检测：** 使用双阶段结构识别市场转折点：
* **Setup 9：** 提示短期动能暂停。
* **Extension 13 (第二阶段)：** 提示更长周期的趋势衰竭和高概率反转区。
* **动态延伸线：**
* 当 Setup 9 或 Extension 13 完成时，立即生成水平线。
* **阻力线（红色）：** 在顶部生成。
* **支撑线（绿色）：** 在底部生成。
* **智能碰撞检测：** 线段自动向右延伸，只有当价格触碰或突破它们时才会终止。
**使用方法**
1. **反转信号：** 观察三角形图标（Setup 9）和标签（S13/B13）。
2. **突破/反弹交易：** 价格接近红线看跌，接近绿线看涨。
EMA Convergence EstimatorEMA Convergence Estimator is a tool designed to help traders visualize when two key trend EMAs—typically the 50-EMA and 200-EMA—are moving toward or away from each other. By analyzing slope, distance, and rate of convergence, the script estimates how many candles, hours, or days remain until the EMAs potentially touch.
This can be helpful for identifying upcoming trend shifts, tightening market conditions, or periods where momentum may be compressing before a larger move.
🔍 Features
Fast EMA & Slow EMA (default 50 / 200)
EMA distance tracking
Slope-based convergence calculation
Estimated time until EMAs meet in:
📍 Candles
⏱️ Hours
📅 Days
Real-time label panel showing all values
On-chart EMA cross markers
“+” printed directly on bullish EMA crosses
“–” printed directly on bearish EMA crosses
Fully transparent label background so it does not obstruct candles
📈 Use Cases
Identifying when EMAs are tightening (consolidation)
Spotting potential future crossovers earlier than normal indicators
Estimating momentum compression or expansion
Tracking longer-term trend dynamics on any timeframe
⚠️ Notes
The convergence estimate is mathematical, not predictive.
EMAs react to price — they do not forecast it.
Results depend on current slope and can change rapidly as new candles form.
Always use this tool as part of a broader analysis process.
This script is for educational purposes only and does not constitute financial advice.
Quality Detector (Buffett Style) + Beta [Solid]This indicator acts as an on-chart fundamental screener, designed to instantly evaluate the quality and financial health of a company directly on your price chart.
The concept is inspired by "Buffettology" principles: looking for large, profitable companies with low debt. Additionally, it includes a Beta calculation to assess market volatility risk.
The tool displays a panel in the bottom-right corner featuring four key metrics and a final verdict.
How it Works & Metrics Used
The script retrieves quarterly fundamental data ("FQ") and performs calculations to verify if the asset meets specific criteria.
1. Market Cap (Size)
What it is: The total market value of the company's outstanding shares.
Goal: To identify established, large-cap companies.
Default Threshold: Must be greater than $10 Billion.
2. ROE - Return on Equity (Quality)
What it is: A measure of financial performance calculated by dividing net income by shareholders' equity.
Goal: To find companies that are efficient at generating profits from shareholders' capital.
Default Threshold: Must be higher than 15%.
3. Total Debt to Equity (Health)
What it is: A ratio indicating the relative proportion of shareholders' equity and debt used to finance a company's assets.
Calculation: This script manually calculates this ratio by fetching TOTAL_DEBT and dividing it by TOTAL_EQUITY from fundamental data to ensure robustness across different symbols.
Goal: To ensure the company is not overly leveraged.
Default Threshold: Must be lower than 1.5.
4. Beta (Risk/Volatility)
What it is: A measure of a stock's volatility in relation to the overall market (S&P 500).
Calculation: It is calculated by comparing the asset's returns against SPY (S&P 500 ETF) returns over a 252-day period (approx. 1 trading year).
Goal: To understand if the stock is more volatile (Beta > 1) or less volatile (Beta < 1) than the market.
Note: Beta does not affect the final "Quality" score but serves as an extra risk indicator, highlighting in orange if Beta > 1.
The Verdict (Scoring System)
The indicator assigns a score from 0 to 3 based on the first three fundamental metrics (Size, ROE, and Debt/Equity).
If a metric passes the threshold, it gets a green background and +1 point.
If it fails, it gets a red background.
Final Verdict:
💎 QUALITY GEM: The company passed all 3 fundamental checks (Score = 3/3).
⚠️ DISCARD: The company failed one or more fundamental checks.
Settings
You can customize the thresholds to fit your own investment strategy in the indicator settings:
Minimum Market Cap (in Billions).
Minimum ROE (%).
Maximum Debt/Equity Ratio.
Disclaimer: This tool is for informational and educational purposes only. It relies on third-party fundamental data which may sometimes be delayed or unavailable. Do not base investment decisions solely on this indicator.
LHAMA Oscillator Suite [LTS]Overview
The LHAMA Oscillator Suite is a collection of normalized, LHAMA-based oscillators built to make the behavior of the Low-High Adaptive Moving Average (LHAMA) easier to read in a separate pane. It translates LHAMA’s slope, distance, volatility buffer, intraday drift, and regime bias into six clear visual signals, with optional multi-timeframe overlays so you can compare your current chart to a higher-timeframe context at a glance.
Core concept
LHAMA is a custom adaptive moving average that responds more strongly when price is making new local highs or lows, and can optionally weight those moves by volume. The oscillator suite takes that adaptive line and derives several normalized measures (mostly scaled to ±100) around a zero line so you can:
See when LHAMA is meaningfully trending vs flat
Measure how far price has moved away from LHAMA in ATR terms
Track how far the LHAMA trend has “stretched” into its ATR cloud buffer
Follow intraday drift from a daily reset point
Visualize simple bull / bear / neutral states as a background regime filter
Available Oscillators
LHAMA Slope
Measures the angle of the LHAMA in ATR-normalized degrees, capped and rescaled to approximately –100 to +100. Positive values show rising LHAMA, negative values show falling LHAMA. The “Entry Slope (deg)” input defines when the line is considered strongly bullish or bearish. This is the primary trend-impulse oscillator in the suite.
Price Distance to LHAMA
Shows how far price is from the LHAMA in units of ATR, normalized to ±100. Large positive values indicate price trading well above the LHAMA; large negative values show price trading well below it. This is useful for spotting extensions away from the adaptive mean (for both continuation and mean-reversion style analysis).
LHAMA Cloud Buffer
Tracks the dynamic distance between LHAMA and its ATR-based “cloud boundary,” with the sign reflecting which side of the trend you are on. As the trend extends, the buffer widens; when LHAMA flips through the buffer, the sign changes. This makes it easy to see how mature or compressed a trend’s protective buffer is.
Trend Regime Bias
A smoothed, sigmoid transform of the LHAMA angle, converted to a bias between –100 and +100. Rather than focusing on raw slope, this oscillator highlights the underlying regime: values near +100 represent a strong bullish bias, values near –100 a strong bearish bias, and values near zero a more neutral environment.
Session Drift from Reset
Measures how far LHAMA has drifted from its value at a daily reset time (e.g., a futures session close), scaled by ATR and the square root of bars since reset. The result is a Z-score–style oscillator capped to ±100, which helps you gauge how extended the current session is relative to typical intraday movement.
LHAMA State (Background)
A simple state signal that classifies LHAMA as bullish, bearish, or neutral based on the angle and your slope threshold. It is typically used to tint the background of the oscillator pane, and can also be plotted from a higher-timeframe for regime stacking.
Multi-timeframe overlays
Each oscillator can optionally display a second, higher-timeframe (“MTF”) version drawn on the same scale. You can choose a custom MTF resolution (e.g., 15m while trading 1m), and independently toggle which MTF oscillators to show:
MTF LHAMA Slope
MTF Price Distance
MTF Cloud Buffer
MTF Regime Bias
MTF Session Drift
MTF LHAMA State background
This allows you to, for example, trade from the lower timeframe while aligning entries with the higher-timeframe trend regime or mean-reversion context.
Visualization and coloring
All oscillators are plotted around a zero line , with optional reference bands at ±80 to highlight stronger conditions.
Each oscillator can use one of three coloring styles:
Gradient : color intensity increases with the magnitude of the signal.
Flat : fixed bull / bear colors above and below zero.
Single Color : a single color regardless of sign, for minimalistic views.
A separate bull and bear color is available for each oscillator, and you can smooth most outputs with an EMA to reduce noise while keeping the raw calculations intact. You can also choose to disable to shaded area of each line for further visual differentiation.
Key settings
LHAMA settings : length, optional volume weighting, and a daily reset session to realign the moving average after overnight gaps.
Volatility settings : ATR length for both slope normalization and distance calculations.
Cloud settings : ATR multiplier used to define the LHAMA cloud buffer.
Appearance : optional smoothing length, zero-line color, ±80 bands toggle, and all per-oscillator color choices.
MTF overlays : higher-timeframe resolution and per-oscillator toggles for the MTF pack.
The script does not use lookahead settings in its data requests and does not draw future values; all signals are computed using information available at each bar in real time, in line with TradingView’s execution model and publishing guidelines.
SWING [DEMAK]SWING
EMA 5, 25, 50, 200, 250
SMA 10
Indicator for finding swing trades and reading direction
STOCKS / CRYPTO / FUTURES
ATR + True RangeOne indicator for ATR & TR its a common indictor which can be used as one
instead of 2 different its is trial mode only not to be used with out other references
Liquidity Analysis🙏🏻 Liquidity Analysis is 1 of 2 structural layer / orderflow layer analysis scripts. Both are independent so can’t be released together as a single script, but should be used together. The second one which is called (Signed) Volume Analysis is incoming.
The same math used in this script can be applied on other types of profile-like data: orderbooks, trading volumes of all options for each strike.
Important: market or volume profile, just as orderbooks and options traded volume by strikes, are all liquidity ‘estimates’, showing where liquidity is more likely or less likely to be. These estimates however, especially combined with other info, are really useful and reliable.
This script works with inferred volumes vs the provided one. It's the better choice for equities, bonds; neutral choice for currencies; and suboptimal choice for natural & artificial commodities.
Contents:
Output description;
How to analyze & use the outputs;
How to use it together with upcoming (Signed) Volume Analysis script;
How did I use both scripts to finish The Leap profitably and skipped many losses.
1. Output description
Color of the profile reflects the liquidity imbalance state: red is negative, purple is neutral, blue is positive.
Bar coloring represents history values of liquidity imbalance for backtesting purposes. It can be turned on/off in the script's Style settings.
Two purple vertical lines represent calculated borders of excessive liquidity (HVN), scarce liquidity (LVN), and sufficient liquidity (NVN) zones.
Vertical dash line marks the moving window end, this way you can be certain over what exact data you see the profile was built.
2. How to analyze & use the outputs
Setup up the script:
Moving window length: set it to ~ ¼ of your data analysis window. E.g if you see on your charts and use ~ 256 bars, set the length to 64.
Native tick size multiplier: leave it at 0 to calculate optimal number of rows automatically, or set it manually to match native tick size multiples you desire.
Use 2 timeframes: main one and a far lower one 3 steps down, just like on the screenshot.
Native lot size multiplier allows to round profile rows themselves to nearest multiples of native lot size. I added this just in case any1 needs it.
Find out current liquidity imbalance state:
As mentioned before, based on profile color, it can be negative, neutral or positive. This is the state variable that changes slowly and denies/confirms the signals that would be explained in the minute.
I use my own statistically grounded imbalance metric (no hardcoded/learned thresholds), that unlike mainstream imbalance metrics (e.g orderbook imbalance as sum of bids vs sum of asks) provides a natural neutral zone, when liquidity imbalance is ofc there but not strong enough to be considered.
…
Profile-based signals: look at profile shape vs 2 vertical purple lines.
where profile rows exceed the left purple line, these prices are considered HVN. Too much potential liquidity is there.
where profile rows don’t exceed the right purple line, these prices are considered LVN. Potential thin/lack of liquidity is expected there.
where profile rows are in between these 2 purple lines, these are NVN, or neutral liquidity zones.
Trading ruleset itself is based on couple of simple rules:
Only! Use limit orders hence provide liquidity in LVNs and Only! use stop-market orders hence consume liquidity in HVNs;
These orders should be put in advance ‘only’. This is how you discover the direction or orders: you can only put sell limit orders above you and buy limit orders below you, and you can only put buy stop orders above you, and sell stop orders below you.
This is really it. It may look weird, but once you just try to follow these 2 rules letter by letter for 1 hour, you’ll see how liquidity trading works.
Now once you know that, just don’t open new trades against the liquidity imbalance state. So don’t open shorts when the profile is blue, and don’t open longs when it’s red.
The last part is multi-timeframe logic. Prefer to act when a lower timeframe is Not against the main timeframe. That’s all, no multiple higher timeframes are needed.
3. How to use it together with upcoming (Signed) Volume Analysis script.
That upcoming script would also have a mean to generate its own signals, and another state variable called volume imbalance.
So now you’re not only looking at liquidity imbalance but also at volume imbalance that would deny/confirm a profile based signal. You need at least one of these to favor your long or short.
This is the same logic widely used in HFT, where MM bots cancel/shift/resize orders when book is too onesided And ordeflow is one sided as well.
4. How did I use both scripts to finish The Leap profitably and skipped many losses.
Even tho you can use structural information as your main strategic layer, as many so-called orderflow traders do, I traded in objective style: my fade signals were volatility based in essence, and I used ordeflow for better entries and stops, but most importantly to skip losses.
When ‘both‘ liquidity imbalance and volume imbalance (in their main timeframes) were against my trades, I skipped them all, saving many ~$500 stop losses (that was my basis risk unit for the Leap). Unless I had a very strong objective signal, i.e confluence of several signals, or just one higher timeframe signal, I did all these skips.
I traded ~ intraweek timeframe, so I was analyzing either the last 230 30min bars or 1380 5min bars. Both Liquidity Analysis and (signed) Volume Analysis scripts were set to moving window length 46 or 276 for either granulary.
I finished the leap with 9% profit and max DD ~ 5%, a bit short of my goal of 12.5%. If not these 2 scripts I would’ve finished a bit above breakeven I think.
∞
Zaka Pro: Clear Structure (HH/LL) + MSS ZonesCertainly! Here is a description of the Pine Script indicator you provided, focusing on its main functions and trading strategy, written in English.
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## Zaka Pro: Clear Structure (HH/LL) + MSS Zones
This is a technical analysis indicator developed in Pine Script (`//@version=5`) designed to automatically identify and plot key price action structural elements based on the **Zig Zag** method, while incorporating a simplified **Market Structure Shift (MSS)** concept, often used in Smart Money Concepts (SMC) or Wyckoff trading.
### Key Features:
1. **Pivot-Based Structure Identification:**
* The indicator uses the standard **`ta.pivothigh`** and **`ta.pivotlow`** functions, determined by the user-defined `Pivot Length` (`prd`). This forms the foundation of the price "swing" structure.
2. **Structural Labeling (HH/LL/LH/HL):**
* It automatically labels the resulting swing points to clearly show the prevailing trend:
* **HH (Higher High):** Continuation of an uptrend.
* **LL (Lower Low):** Continuation of a downtrend.
* **LH (Lower High):** A potential reversal or weakening of an uptrend.
* **HL (Higher Low):** A potential reversal or weakening of a downtrend.
3. **Zig Zag Plotting:**
* The indicator connects the identified pivot points with a **gray line** to visually represent the market swings.
4. **Market Structure Shift (MSS) Strategy:**
* The core strategy detects a potential **trend reversal** when the price breaks the most recent structural pivot:
* **Buy MSS Trigger:** Detected when the price breaks **above the last High** (`last_high`) while the market was in a confirmed **downtrend** (forming Lower Lows).
* **Sell MSS Trigger:** Detected when the price breaks **below the last Low** (`last_low`) while the market was in a confirmed **uptrend** (forming Higher Highs).
5. **Order Block / Entry Zone Plotting:**
* Upon detection of a confirmed MSS (reversal), the indicator plots a colored **Box** representing a potential re-entry zone:
* **BUY ZONE (Green Box):** Plotted after a Buy MSS (breakout to the upside). The zone is defined by the **High and Low of the two candles preceding the last swing Low** (`ob_low_top`, `ob_low_btm`). This acts as a simplified "Order Block" for potential long entries.
* **SELL ZONE (Red Box):** Plotted after a Sell MSS (breakout to the downside). The zone is defined by the **High and Low of the two candles preceding the last swing High** (`ob_high_top`, `ob_high_btm`). This acts as a simplified "Order Block" for potential short entries.
6. **Alerts:**
* Custom alerts are included to notify the user immediately when a Buy or Sell MSS (Market Structure Shift) is detected.
In summary, the indicator is a visual tool that simplifies price action analysis by drawing structure and highlights potential reversal points (MSS) by painting corresponding re-entry zones (Order Blocks) on the chart.
NQ Futures VWAP on QQQOverlay NQ1 vwap for QQQ
Track NQ future's vwap on your QQQ chart to scale with optional bands
Pivots + MAs ISRSPivots + MAs ISRS is a complete market-structure tool designed for traders who want clear institutional levels combined with trend confirmation from moving averages and Fibonacci zones.
This indicator helps you identify breakouts, pullbacks, and reversal points with much higher accuracy.
It combines the best of three worlds:
🔹 1. Advanced Pivot Points (Standard TV Engine)
Includes every major professional pivot type:
Traditional
Fibonacci
Woodie
Classic
DM
Camarilla
You can choose pivot anchors such as:
Daily, Weekly, Monthly, Quarterly, Yearly, and extended periods (2, 3, 5, and 10 years).
✔ Fully customizable colors
✔ Show/hide each level individually
✔ Dynamic labels (left or right)
✔ Works with intraday + extended sessions
🔹 2. Built-in Moving Averages
The indicator includes:
3 EMAs to measure trend direction and momentum
A 5-period SMA for micro-structure and scalping precision
Great for identifying confluences between trend direction + pivot levels.
🔹 3. FiboISRS Zones
Fibonacci-based zones designed to enhance price-reaction detection:
Retracement levels
Liquidity zones
Confluences with EMAs + Pivot Points
Perfect for spotting high-probability reversal areas.
🎯 What This Indicator Helps You Do
✔ See active institutional levels on any timeframe
✔ Detect real breakouts (not fakeouts) using Pivots + MAs
✔ Identify clean pullbacks into key zones
✔ Spot reactions at S1/S2/S3 or R1/R2/R3
✔ Keep your chart clean with minimal noise
Works extremely well on:
Crypto with solid liquidity
Major indices (SPX, NASDAQ, Dow)
Forex
Gold and commodities
🧠 Pro Tip
The highest-probability setups occur when price touches:
👉 A Pivot Level
👉 An EMA (20, 50, or 200)
👉 A FiboISRS zone
When these three overlap, the market often reacts strongly.
⚡ Creator
Indicator created by Ismael Robles (ISRS) to bring a clean, institutional-grade structure to everyday traders.
Smart Money Time by TMUSMT-Integrated Institutional Structure
This solution addresses a critical limitation in retail technical analysis: Fractal Blindness. While standard indicators operate linearly on a single timeframe, this script utilizes a Synchronous Multi-Timeframe (MTF) Architecture combined with SMT (Smart Money Time) logic to overlay higher-order market structure directly onto your execution chart.
It is engineered to align your entry triggers with the dominant institutional trend, effectively filtering out counter-trend noise that often leads to liquidity sweeps.
Core Technology: The "Fractal-Sync" Engine
1. Hierarchical Trend Propagation (MTF Logic) The script performs a real-time request.security analysis of user-selected higher timeframes to determine the "True State" of the market.
The Mechanism: Instead of repainting historical data, the algorithm uses a Step-Locked logic. It projects the confirmed Swing Highs and Lows of the Higher Timeframe (e.g., 4H) onto your Lower Timeframe (e.g., 5m or 15m).
Practical Value: You instantly visualize the "Big Picture" bias without switching tabs, ensuring your local trades are aligned with the global flow.
2. SMT-Grade Pivot Detection Integrating concepts from Smart Money analysis, the indicator identifies Key Swing Points that have a high probability of defense by large operators.
Technique: By calculating volatility-adjusted deviations (ATR) across multiple timeframes, the script distinguishes between a standard "pullback" and a genuine Structure Shift (MSS) or Break of Structure (BOS).
Benefit: It visually separates weak internal structure (inducement) from strong external structure (protected levels).
Technical Specifications & Filters
To satisfy strict stability requirements and provide objective signals, the engine incorporates unique validation methods:
Volatility Normalization: Structure breaks are validated against a dynamic ATR threshold. This ensures that low-volume consolidation does not trigger false structural resets.
Candle-Close Validation Protocol: A level is considered breached only if the candle body closes beyond the pivot. This filters out "Wick Fakeouts" and Stop-Hunts often seen during news events.
Conflict Resolution: When the Lower Timeframe trend contradicts the Higher Timeframe structure, the indicator visualizes this as a "Retracement Phase," advising caution.
Operational Workflow
This tool acts as a Market Context Filter, not a simple signal generator:
Trend Alignment: Use the visual cues to instantly recognize the dominant institutional flow.
Zone Identification: The script automatically plots "Strong Lows" (Invalidation Points) and "Weak Highs" (Targets).
Execution: Seek entries on your timeframe only when the higher timeframe structure (shown by this script) confirms the direction.
Note for Professional Use: This script is designed for precision execution. It minimizes chart clutter by displaying only confirmed structural points, providing a clean, logic-driven workspace for objective decision-making.
VCAI Stochastic RSI+VCAI Stoch RSI+ is a cleaned-up Stochastic RSI built with V-Core colours for faster, clearer momentum reads and more reliable OB/OS signals.
What it shows:
Purple %K line → bearish momentum strengthening
Yellow %D line → bullish momentum building and smoothing
Soft purple/yellow background bands → OB/OS exhaustion zones, not just raw 80/20 triggers
Midline at 50 → balance point where momentum shifts between bull- and bear-side control
Optional HTF mode → run Stoch RSI from any timeframe while viewing it on your current chart
How to read it:
Both lines rising out of OS → early bullish shift; pullbacks that hold direction favour continuation
Both lines falling from OB → early bearish shift; bounces into the purple OB zone can become fade setups
Lines stacked and moving together → strong, cleaner momentum
Lines crossing repeatedly → low-conviction, choppy conditions
OB/OS shading highlights exhaustion so you focus on moves with context, not every 80/20 tick
Why it’s different:
Classic Stoch RSI is hyper-sensitive and mostly noise.
VCAI Stoch RSI+ applies V-Core’s colour-driven regime logic, controlled OB/OS shading, and optional HTF smoothing so you see momentum structure instead of clutter — making it easier to judge when momentum is genuinely shifting and when it’s just another wiggle.
Smart DCA 1.0This indicator shows you when BTC is falling from its local highs and gives you an optimal entry price.
Reversal Pro v2 Reversal Pro v2 + Kernel Trend Line
© HighlanderOne – 2025
The ultimate confluence of institutional liquidity grabs + adaptive trend filtering.
Core Strategy – V-Reversal (Liquidity Sweep + Reclaim)
This indicator detects when price makes an aggressive move that sweeps nearly all recent lows (or highs) in the last 20 candles — a classic smart-money stop-hunt.
Once the sweep candle is identified, it waits for price to reclaim above the sweep low (bullish) or below the sweep high (bearish) within the next few bars.
That reclaim is the exact moment the real directional move begins.
Key improvements over classic versions:
• Uses ≥ (lookback – 2) instead of strict equality → catches more real sweeps without adding noise
• Optional true non-repainting mode (signal appears only on the close of the confirmation bar)
• Extremely clean, high-probability reversal signals (usually 2–6 per week on 1h–4h)
Smoothed Kernel Regression Trend Line (exactly like the legendary KTrend)
A secondary rational-quadratic kernel regression is plotted on top with a Gaussian lag filter.
The line changes colour based on short-term vs long-term kernel relationship:
• Teal/Green → Uptrend confirmed
• Maroon/Red → Downtrend confirmed
How to trade it (my exact rules – the way I actually use it every day)
Entry Rules
Long: Green V appears + Kernel line is green or turns green within 1–2 bars
Short: Red V appears + Kernel line is red or turns red within 1–2 bars
Trade Management – Stay in the trade using the Kernel line
• Trail your stop under the Kernel line (for longs) or above it (for shorts)
• Never exit just because of a new opposite V — wait for the Kernel line to actually change colour
• If the Kernel line stays your colour for 10–20+ bars, let the trade run — these become the massive 5:1 – 15:1 winners
• Only exit early if the Kernel line flips colour — that is your objective “trend over” signal
Best timeframes
• 15m & 1h → scalping / day trading
• 4h & Daily → swing trading monsters
Best markets
Works insanely well on: BTC/USD, ETH/USD, NAS100, SPX500, Gold, EURUSD, GBPUSD, USDJPY
This is not just another reversal indicator.
It’s institutional order-flow detection + adaptive trend filtering in one clean script.
High win-rate entries.
Objective trend-based exits.
Zero repainting (when enabled).
Pure price action.
Trade it exactly as described and you will never need another reversal system again.
Enjoy the edge.
– HighlanderOne
FF calculation Saptarshi ChatterjeeForward factor (in options contexts) measures implied volatility (IV) for a future period between two expirations, like from 30 DTE (days to expiry) front-month to 60 DTE back-month options.
This indicator calculates the FORWARD FACTOR(FF) using 2 IVs of 2 DTEs.
+ve value means front DTE is rich in premium and back expiry is cheap.
-ve value means front DTE IV is cheap and 2nd DTE is expensive
we can use this term structure disbalance to trade calendar spreads with edge.
Momentum by Trading BiZonesSqueeze Momentum Indicator with EMA
Overview
The Squeeze Momentum Indicator with EMA is a powerful technical analysis tool that combines the original Squeeze Momentum concept with an Exponential Moving Average (EMA) overlay. This enhanced version helps traders identify market momentum, volatility contractions (squeezes), and potential trend reversals with greater precision.
Core Concept
The indicator operates on the principle of volatility contraction and expansion:
Squeeze Phase: When Bollinger Bands move inside the Keltner Channel, indicating low volatility and potential energy buildup
Expansion Phase: When momentum breaks out of the squeeze, signaling potential directional moves
Key Components
1. Squeeze Momentum Calculation
Formula: Momentum = Linear Regression(Close - Average Price)
Where Average Price = (Highest High + Lowest Low + SMA(Close)) / 3
Visualization: Histogram bars showing positive (green) and negative (red) momentum
Zero Line: Represents equilibrium point between buyers and sellers
2. EMA Overlay
Purpose: Smooths momentum values to identify underlying trends
Customization:
Adjustable period (default: 20)
Toggle on/off display
Customizable color and line thickness
Cross Signals: Buy/sell signals when momentum crosses above/below EMA
3. Volatility Bands
Bollinger Bands (20-period, 2 standard deviations)
Keltner Channels (20-period, 1.5 ATR multiplier)
Squeeze Detection: Visual background shading when BB are inside KC
Trading Signals
Buy Signals (Green Upward Triangle)
Momentum histogram crosses ABOVE EMA line
Occurs during or after squeeze release
Confirmed by expanding histogram bars
Sell Signals (Red Downward Triangle)
Momentum histogram crosses BELOW EMA line
Often precedes market downturns
Watch for increasing negative momentum
Squeeze Warnings (Gray Background)
Market in low volatility state
Prepare for potential breakout
Direction indicated by momentum bias
Indicator Settings
Main Parameters
Length: Period for calculations (default: 20)
Show EMA: Toggle EMA visibility
EMA Period: Smoothing period for EMA
Visual Settings
Histogram color-coding based on momentum direction
EMA line color and thickness
Signal marker size and visibility
Squeeze zone background display
Practical Applications
Trend Identification
Uptrend: Consistently positive momentum with EMA support
Downtrend: Consistently negative momentum with EMA resistance
Range-bound: Oscillating around zero line
Entry/Exit Points
Conservative Entry: Wait for squeeze release + EMA crossover
Aggressive Entry: Anticipate breakout during squeeze
Exit: Opposite crossover or momentum divergence
Risk Management
Use squeeze zones as warning periods
EMA crossovers as confirmation signals
Combine with support/resistance levels
Advanced Interpretation
Momentum Strength
Strong Bullish: Tall green bars above EMA
Weak Bullish: Short green bars near EMA
Strong Bearish: Tall red bars below EMA
Weak Bearish: Short red bars near EMA
Divergence Detection
Price makes higher high, momentum makes lower high → Bearish divergence
Price makes lower low, momentum makes higher low → Bullish divergence
Squeeze Characteristics
Long squeezes: More potential energy
Frequent squeezes: Choppy market conditions
No squeezes: High volatility, trending markets
Recommended Timeframes
Scalping: 1-15 minute charts
Day Trading: 15-minute to 4-hour charts
Swing Trading: 4-hour to daily charts
Position Trading: Daily to weekly charts
Best Practices
Confirmation
Use with volume indicators
Check higher timeframe direction
Wait for candle close confirmation
Filtering Signals
Ignore signals during extreme volatility
Require minimum bar size for crossovers
Consider market context (news, sessions)
Combination Suggestions
With RSI: Confirm overbought/oversold conditions
With Volume Profile: Identify high-volume nodes
With Support/Resistance: Key level reactions
With Trend Lines: Breakout confirmations
Limitations
Lagging indicator (based on past data)
Works best in trending markets
May give false signals in ranging markets
Requires proper risk management
Conclusion
The Squeeze Momentum Indicator with EMA provides a comprehensive view of market dynamics by combining volatility analysis, momentum measurement, and trend smoothing. Its visual clarity and customizable parameters make it suitable for traders of all experience levels seeking to identify high-probability trading opportunities during volatility contractions and expansions.
