CausalityLib - granger casuality and transfer entropy helpersLibrary "CausalityLib"
Causality Analysis Library - Transfer Entropy, Granger Causality, and Causality Filtering
f_shannon_entropy(data, num_bins)
Calculate Shannon entropy of data distribution
Parameters:
data (array) : Array of continuous values
num_bins (int) : Number of bins for discretization
Returns: Entropy value (higher = more randomness)
f_calculate_te_score(primary_arr, ticker_arr, window, bins, lag)
Calculate Transfer Entropy from source to target
Parameters:
primary_arr (array) : Target series (e.g., primary ticker returns)
ticker_arr (array) : Source series (e.g., basket ticker returns)
window (int) : Window size for TE calculation
bins (int) : Number of bins for discretization
lag (int) : Lag for source series
Returns: - TE score and direction (-1 or 1)
f_correlation_at_lag(primary_arr, ticker_arr, lag, window, correlation_method)
Calculate Pearson correlation at specific lag
Parameters:
primary_arr (array) : Primary series
ticker_arr (array) : Ticker series
lag (int) : Lag value (positive = ticker lags primary)
window (int) : Window size for correlation
correlation_method (string) : Correlation method to use ("Pearson", "Spearman", "Kendall")
Returns: Correlation coefficient
f_calculate_granger_score(primary_arr, ticker_arr, window, max_lag, correlation_method)
Calculate Granger causality score with lag testing
Parameters:
primary_arr (array) : Primary series
ticker_arr (array) : Ticker series
window (int) : Window size for correlation
max_lag (int) : Maximum lag to test
correlation_method (string) : Correlation method to use
Returns: - Granger score and directional beta
f_partial_correlation(x_arr, y_arr, z_arr, window)
Calculate partial correlation between X and Y controlling for Z
Parameters:
x_arr (array) : First series
y_arr (array) : Second series
z_arr (array) : Mediator series
window (int) : Window size for correlation
Returns: Partial correlation coefficient
f_pcmci_filter_score(raw_score, primary_arr, ticker_arr, mediator1, mediator2, mediator3, mediator4, window)
PCMCI Filter: Adjust Granger score by checking for mediating tickers
Parameters:
raw_score (float) : Original Granger score
primary_arr (array) : Primary series
ticker_arr (array) : Ticker series
mediator1 (array) : First potential mediator series
mediator2 (array) : Second potential mediator series
mediator3 (array) : Third potential mediator series
mediator4 (array) : Fourth potential mediator series
window (int) : Window size for correlation
Returns: Filtered score (reduced if causality is indirect/spurious)
지표 및 전략
TrendlinesTrendline S&R
This indicator is an automated technical analysis tool designed to identify the most relevant Support and Resistance (S&R) zones based on market pivots. Unlike standard pivot indicators that clutter the chart with historic lines, this script uses a "Closest-to-Price" algorithm to display only the single most relevant Support (Green) and Resistance (Red) zone currently interacting with price action.
It solves common frustrations with automated trendlines—specifically the issue of lines disappearing immediately upon a breakout—by introducing a Stability Buffer.
Key Features & Importance
The script scans hundreds of potential trendlines but only draws the one geographically closest to the current price.
Importance: This ensures you are looking at the zone that matters right now. It filters out distant or irrelevant historic lines, keeping your chart clean and focused on immediate price action.
🛡️ 5-Bar Stability Buffer (Anti-Flicker)
Feature: A hardcoded 5-bar "memory" prevents the zone from disappearing the moment price touches or breaks it.
Importance: This is critical for trading breakouts. It allows you to see the zone persist while price breaches it, helping you distinguish between a true breakout, a fakeout, or a retest, without the reference level vanishing from your screen.
🔍 Dynamic Pivot Filtering
Feature: Uses a restricted Pivot Strength (5-15) and Minimum Confirmation (2-8 touches).
Importance: By enforcing these limits, the indicator ignores insignificant market noise and micro-swings, ensuring that drawn zones represent structural market levels with genuine liquidity.
🔔 Integrated Alert System
Feature: Built-in alerts for "Zone Breakout" (candle close crossing the zone) and "Zone Touch" (wick entering the zone).
Importance: Allows you to set the indicator and walk away. You will be notified instantly when price interacts with these key levels, removing the need to stare at the chart.
📉 Adaptive Tolerance (Fixed ATR)
Feature: Uses a fixed ATR multiplier internally to determine the width of the zone.
Importance: This automatically adjusts the thickness of the support/resistance zone based on the asset's volatility.
Settings Guide
Bars to Apply: How far back in history the script looks for pivots (Default: 300).
Pivot Source: Choose between calculating from "High/Low" (wicks) or "Close" (bodies).
Pivot Strength: The number of bars required on each side to define a swing point (Range: 5–15).
Min Pivot Confirmation: The minimum number of touches required to validate a trendline (Range: 2–8).
How to Use
Add the indicator to your chart.
Adjust Pivot Strength if you want to catch smaller swings (lower number) or major structures (higher number).
Set an alert in TradingView by clicking the "Clock" icon, selecting this indicator, and choosing "Zone Breakout" or "Zone Touch".
IV History from Realized Volatility# Realized Volatility History - Quick Start Guide
## What This Does
Displays historical realized volatility (RV) calculated directly from price movements. Compare it against your current implied volatility to identify options trading opportunities and gauge whether premium is expensive or cheap.
## How to Use
1. **Get Current IV**: Check your broker's options chain and find the ATM (at-the-money) implied volatility for your ticker
2. **Input the Value**: Open indicator settings and enter the current IV (e.g., `0.15` for 15%) - this creates a reference line
3. **Read the Chart**:
- **Purple line** = Historical realized volatility from actual price movements
- **Red dashed line** = Your current ATM IV (reference)
- **Orange line** = 30-day moving average (optional)
4. **Interpret the Data**:
- **RV below IV** → Options premium is relatively expensive (consider selling premium)
- **RV above IV** → Options premium is relatively cheap (consider buying options)
- **IV Rank > 70%** → High volatility environment
- **IV Rank < 30%** → Low volatility environment
## Settings You Can Adjust
- **Current ATM IV**: Reference line for comparison (update periodically)
- **RV Rolling Window**: Calculation window for realized volatility (default: 10 days)
- **Lookback Period**: Period for IV rank calculation (default: 60 days)
- **Show 30-Day Average**: Toggle moving average line
## Limitations
This indicator requires manual IV updates since TradingView doesn't have direct access to options data. You'll need to check your broker periodically and update the input for accuracy.
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*Method: Calculates annualized realized volatility using rolling standard deviation of log returns, providing a comparison baseline for evaluating implied volatility levels.*
Google Trends: ETH (Cryptollica)Google Trends: ETH (Cryptollica)
Google Trends data since 2016, Keyword: ETH
EMA + VWAP Strategy# EMA + VWAP Crossover Strategy
## Overview
This is a trend-following intraday strategy that combines fast and slow EMAs with VWAP to identify high-probability entries. It's designed primarily for 5-15 minute charts and includes a smart filter to avoid trading when VWAP is ranging flat.
## How It Works
### Core Concept
The strategy uses three main components working together:
- **Fast EMA (9)** - Responds quickly to price changes and generates entry signals
- **Slow EMA (21)** - Acts as a trend filter to keep you on the right side of the market
- **VWAP** - Serves as a dynamic support/resistance level and the primary trigger for entries
### Entry Rules
**Long Entry:**
- EMA 9 crosses above VWAP (bullish momentum)
- EMA 9 is above EMA 21 (confirming uptrend)
- VWAP has a clear directional slope (not flat/ranging)
- Only during weekdays (Monday-Friday)
**Short Entry:**
- EMA 9 crosses below VWAP (bearish momentum)
- EMA 9 is below EMA 21 (confirming downtrend)
- VWAP has a clear directional slope (not flat/ranging)
- Only during weekdays (Monday-Friday)
### The VWAP Flat Filter
One of the key features is the VWAP slope filter. When VWAP is moving sideways (flat), it indicates the market is likely consolidating or ranging. The strategy skips these periods because crossover signals tend to be less reliable in choppy conditions. You'll see small gray diamonds at the top of the chart when VWAP is considered flat.
### Risk Management
The strategy uses a proper risk-reward approach with multiple stop loss options:
1. **ATR-Based (Recommended)** - Adapts to market volatility automatically. Default is 1.5x ATR(14), which gives your trades room to breathe while protecting capital.
2. **Swing Low/High** - Places stops at recent price structure points for a more technical approach.
3. **Slow EMA** - Uses the trend-defining EMA as your stop level, good for trend-following with wider stops.
4. **Fixed Percentage** - Simple percentage-based stops if you prefer consistency.
Take profits are automatically calculated based on your risk-reward ratio (default 2:1), meaning if you risk $100, you're aiming to make $200.
### Weekday Trading Filter
The strategy includes an option to trade only Monday through Friday. This is particularly useful for crypto markets where weekend liquidity can be thin and price action more erratic. You can toggle this on/off to test whether avoiding weekends improves your results.
### Visual Features
- **Color-coded background** - Green tint when EMA 9 is above EMA 21 (bullish bias), red tint when below (bearish bias)
- **ATR bands** - Dotted lines showing where stops would be placed (when using ATR stops)
- **Active trade levels** - Solid red line for your stop loss, green line for your take profit when you're in a position
- **Weekend highlighting** - Gray background on Saturdays and Sundays when weekday filter is active
## Best Practices
**Timeframe:** Designed for 5-minute charts but can be adapted to other intraday timeframes.
**Markets:** Works on any liquid market - stocks, forex, crypto, futures. Just make sure there's enough volume.
**Position Sizing:** The strategy uses percentage of equity by default. Adjust based on your risk tolerance.
**Backtesting Tips:**
- Test with and without the weekday filter to see which performs better on your instrument
- Try different ATR multipliers (1.0-2.5) to find the sweet spot between stop-outs and letting profits run
- Experiment with risk-reward ratios (1.5R, 2R, 3R) to optimize for your win rate
**What to Watch:**
- Win rate vs. profit factor balance
- How many trades are filtered out by the VWAP flat condition
- Performance difference between weekdays and weekends
- Whether the trend filter (EMA 21) is keeping you out of bad trades
## Parameters You Can Adjust
- Fast EMA length (default 9)
- Slow EMA length (default 21)
- VWAP flat threshold (default 0.01%)
- Stop loss type and parameters
- Risk-reward ratio
- Weekday trading on/off
- ATR length and multiplier
## Disclaimer
This strategy is for educational purposes. Past performance doesn't guarantee future results. Always test thoroughly on historical data and paper trade before risking real money. Use proper position sizing and never risk more than you can afford to lose.
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*Built with Pine Script v5 for TradingView*
EMA and DEMA CrossesCombined crosses for EMA and Double EMA
Gives Buy and Sell signals basis all 3 conditions
LEVENT: Lifetime Estimation via Efficiency-Regime EventLEVENT — Lifetime Estimation via Efficiency-Regime Event Transitions
LEVENT is a research-grade indicator that estimates the remaining structural lifetime of the current market regime.
Unlike trend, volatility, or momentum tools, LEVENT does not measure price movement — it measures how long the current market structure is likely to survive before breaking.
This script implements the LEVENT model published on Zenodo (Bülent Duman, 2026) and is built on top of the open-source DERYA (Dynamic Efficiency Regime Yield Analyzer) microstructural efficiency framework.
What LEVENT measures
LEVENT outputs a single continuous variable L that represents the remaining survival capacity of the active efficiency regime.
High L → the current regime has strong structural endurance
Falling L → the regime is consuming its capacity
L → 0 → regime exhaustion and elevated probability of transition
This makes LEVENT a forward-looking structural time variable, not a price indicator.
What is inside this script
This implementation contains the following components:
1. DERYA (open-source microstructure efficiency)
DERYA is computed from OHLC data as:
Net close-to-close movement divided by total intrabar range
It is smoothed with an EMA and normalized over a rolling window to produce a bounded efficiency state (0–100).
This is an open-source indicator and is explicitly credited in the LEVENT paper.
2. Transition Strength (S)
S measures how unstable the regime is by combining:
the slope of DERYA
the acceleration of DERYA
This is not RSI, MACD, or ATR — it is a state-transition intensity metric.
3. Regime Engine
Markets are classified into four structural regimes:
Expansion
Exhaustion
Collapse
Base / Recovery
A debounce + persistence filter is used to avoid noise-based flickering.
4. Structural Lifetime (LEVENT L)
Each regime is assigned a capacity (Λ) and a fragility (α).
LEVENT then evolves as a jump-and-countdown survival process:
On regime change → L resets to full capacity
Inside a regime → L decays deterministically
High instability → faster decay
This is not a moving average, oscillator, or probability estimate — it is a structural survival clock.
How to use LEVENT
LEVENT is designed to be used as a regime-health overlay, not a buy/sell trigger.
Typical uses:
Detect late-stage trends when L is low
Avoid initiating positions when the regime is near collapse
Compare structural stability across assets
Combine with price, trend, or volume systems
Do not use LEVENT alone as a trading signal.
LEVENT tells you “how long the structure may last”, not “where price will go.”
Visuals
Background colors show the current regime
The LEVENT line shows remaining structural lifetime
A table displays the active regime and current L value
Important notes
LEVENT is not RSI, MACD, ATR, or trend
LEVENT does not predict price direction
LEVENT does not issue entry/exit signals
LEVENT is a research-grade structural model
The DERYA component used here is an open-source microstructural efficiency estimator and is credited accordingly.
Risk and disclaimer
This script is provided for research and analytical purposes only.
It is not financial advice and must not be used as a standalone trading system.
Markets are uncertain.
All trading decisions and risks remain entirely the responsibility of the user.
LEVENT: Lifetime Estimation via Efficiency-regime Event Transitions
Introducing a Regime-Dependent Structural Lifetime Estimator for Financial Markets Using OHLC Data
Author: DUMAN,Bülent
Affiliation: Independent Researcher
zenodo.org
Volume Channel Flow [ChartPrime]⯁ OVERVIEW — Volume Channel Flow
The Volume Channel Flow indicator dynamically tracks evolving trend channels while simultaneously analyzing volume distribution within each channel segment.
By combining adaptive volatility-based channel boundaries with real-time volume profiling, the tool highlights directional bias, structural breakouts, and zones where buy/sell pressure is concentrated.
This makes it a powerful hybrid of a trend-tracking system and a miniature volume-profile engine that updates live as the market moves.
⯁ CONCEPTS
Dynamic Volatility Channel:
Upper and lower channel levels are continuously recalculated using ATR. These levels shift only when price breaks outside the previous channel, signaling a trend transition.
Channel Segmentation:
When a channel shift occurs, the previous segment is closed and visually plotted as its own range — allowing traders to inspect each discrete “flow phase” of the market.
Embedded Volume Profile:
Inside each channel segment, the indicator builds a mini volume histogram using user-defined binning. This creates a quick visual read of how volume was distributed within that price range.
Point of Control (PoC):
The price level with the highest traded volume inside each completed segment is detected and plotted as a dashed horizontal PoC line.
Flow Bias (Bullish/Bearish):
The volume profile color adapts depending on whether cumulative delta volume (buy minus sell pressure) is positive or negative for the segment.
Breakout Labels:
When a new channel is formed, arrows mark whether the breakout occurred upward or downward.
⯁ FEATURES
Adaptive Trend Channel Construction
Channels update only when price closes beyond upper or lower volatility thresholds. This isolates trend shifts with minimal noise.
Channel Visualization Options
Choose to display full channel boxes or only trend lines using customizable styling.
Real-Time Volume Profiling
As long as the channel remains active, volume distribution is recalculated live on every bar.
PoC Projection
The PoC is drawn across the channel range, marking the highest-volume price level for each segment.
Directional Delta Coloring
Volume profiles automatically shift to bullish or bearish colors based on cumulative delta inside the channel.
Breakout Detection
Arrows highlight each transition into a new channel regime.
⯁ HOW TO USE
Spot trend changes using breakout arrows and the creation of new trend channels.
Gauge strength of a channel by examining the density and shape of the internal volume profile.
Use PoC levels as potential support/resistance interaction zones.
Validate momentum by checking whether volume delta shows bullish or bearish dominance.
Monitor channel edges to anticipate continuation or reversal setups.
⯁ CONCLUSION
The Volume Channel Flow indicator merges trend structure with volume analytics, providing a continuously adaptive picture of market flow.
It not only detects where trend phases begin and end, but also reveals what type of volume behavior shaped each segment, offering a deeper understanding of trend strength and directional pressure.
Relative Strength Index (RSI) w/ Multi Time Frame w/ DivergencesThis indicator is an advanced evolution of the classic Relative Strength Index (RSI), designed to provide deeper market context by combining Momentum, Multi-Timeframe (MTF) analysis, and Divergences into a single, clean visual tool.
Unlike standard indicators, RSI MTF Pro v2 allows you to configure the Main RSI and the Background Trend Zone independently, giving you full control over your strategy (e.g., watching a 15m RSI while monitoring the 4H trend).
Key Features:
🚀 Dual MTF Engine: Completely independent settings for the Main RSI Line and the Background Zone. You can choose different Timeframes, Lengths, and Levels for each.
heatmap Style Background: The indicator background changes color (Red/Green) based on the MTF RSI trend, helping you filter out bad trades and stick to the dominant trend.
🎨 Smart Gradient Fills: To keep your chart clean, the gradient colors (Red/Green fills) only appear when the RSI breaches the Overbought or Oversold levels.
🎯 Divergence Detector: Automatically spots and marks Regular Bullish and Bearish divergences with pivot-based logic.
How to Use:
Trend Confirmation: Use the Background Color to determine the higher timeframe direction (e.g., Red Background = Uptrend).
Entry Signals: Look for RSI signals that align with the background color (e.g., RSI Oversold/Green Gradient + Green Background).
Reversals: Use the built-in Divergence circles to spot potential trend reversals.
Settings:
Main RSI: Customizable Timeframe, Length, OB/OS Levels.
MTF Background: Independent Timeframe, Length, and Zone thresholds (e.g., >60 Red, <40 Green).
Divergences: Toggle On/Off and adjust Pivot lookback periods.
Disclaimer: This tool is for informational purposes only and does not constitute financial advice.
Supply & Demand Sniper369Indicator Philosophy: The Convergence of Structure and Liquidity
The Supply & Demand Sniper369 is not just another signal generator; it is a professional-grade execution framework built on the principles of Institutional Order Flow and Liquidity Engineering. While standard indicators often lag or provide signals in "no-man's land," this script is designed to identify high-probability reversal points by combining macro-structural zones with micro-execution triggers.
What Makes This Script Original?
Most scripts treat Supply/Demand and Entry Triggers as separate entities. The originality of the Sniper369 lies in its Strict Hierarchical Logic. It employs a "Two-Factor Authentication" system for trades:
1. Structural Validation: Identifying where "Smart Money" has historically left unfilled orders.
2. Liquidity Sweep Confirmation: Using the Enigma 369 logic to detect a specific manipulation pattern (a stop-run or "sweep") that occurs exclusively within those structural zones.
By using Pine Script v6 Object-Oriented Programming, the script manages dynamic arrays of boxes and lines that auto-delete upon mitigation, ensuring your chart remains a clean, actionable workspace.
Underlying Concepts & Calculations
1. Macro: Structural Supply & Demand
The indicator calculates zones based on Pivot Strength and Volatility Scaling.
Calculations: It scans for major structural pivots ( and ). Once a pivot is confirmed, it doesn't just draw a line; it calculates a zone width based on the Average True Range (ATR).
Why it works: Institutions do not enter at a single price; they enter in "pockets" of liquidity. Using ATR-based zones ensures that on high-volatility pairs (like Gold or GBP/JPY), your zones are appropriately wide, while on lower-volatility pairs, they remain tight and precise.
2. Micro: The Enigma 369 Sniper Logic
Once price enters a zone, the "Sniper" logic activates. This is based on the Institutional Wick-Liquidity concept.
The Sweep: The script looks for a candle that breaks the high/low of the previous candle (trapping "breakout" traders) but fails to hold that level.
The Mean Threshold (50% Wick): A core calculation of the Enigma logic is the midpoint of the rejection wick.
Calculation: for Sells.
Logic: Institutions often re-test the 50% level of a long wick to fill the remaining orders before the real move starts.
How to Use the Indicator
Step 1: Wait for Structural Alignment
Observe the Teal (Demand) and Red (Supply) boxes. These are your "Points of Interest" (POI). Do not take any trades until the price is physically touching or inside these boxes.
Step 2: Monitor for the Sniper Trigger
When the price is inside a zone, look for the appearance of the Solid and Dotted lines.
The Solid Line: This is the extreme of the manipulation candle. It serves as your structural invalidation level (Stop Loss).
The Dotted Line: This is the 50% Wick level. It is your "Sniper Entry" target.
Step 3: Execution & Alerts
The script features a built-in alert system that notifies you the moment a Sniper activation occurs inside a zone.
Conservative Entry: Place a Limit Order at the Dotted Line.
Aggressive Entry: Market enter on the close of the Sniper candle if the price has already reacted strongly.
Exit: Target the opposing Supply or Demand zone for a high Risk-to-Reward ratio.
Technical Summary for Traders
Trend Detection: Uses an EMA-50 Filter to ensure Snipers only fire in the direction of the dominant trend (optional).
Scalping/Day Trading: Optimized for the 1m, 5m, and 15m timeframes, but functions perfectly on 4H/Daily for swing traders.
Dynamic Cleanup: The script automatically deletes lines if the price closes past them, signaling that the "Liquidity Grab" was actually a breakout, thus preventing you from entering a losing trade.
BB Scoreboard MTF1. The Concept: Harmony Across TimeframesThe Musical Score Visual: This indicator transforms absolute price into a relative "score" based on standard deviations ($\sigma$). It displays the positions of Short-Term (15m), Mid-Term (1H), and Long-Term (4H) prices on a single grid, similar to a musical staff.Syncing the "Breath" of the Market: By aligning three different timeframes, you can instantly see if the entire market is "breathing" in the same direction.
2. Trading Logic: The Power of ConvergencePerfect Order (Bullish): When the Short, Mid, and Long-term lines are all above the Middle (0) line, it indicates a strong, synchronized uptrend. This is the highest probability zone for "Buy on Dip" strategies.Perfect Order (Bearish): Conversely, when all lines are below the Middle line, the market is in a synchronized downtrend, making "Sell on Rally" the dominant strategy.Overextension (The Limits): When all three lines hit the $+3\sigma$ or $-3\sigma$ levels simultaneously, the market is extremely overextended, signaling an imminent correction or exhaustion.
3. Synergizing with "Volume-Wall" (FVG)To achieve the Ultimate Scalping Setup:Alignment: Wait for all three lines on the "Scoreboard" to point in the same direction (e.g., all above 0).The Anchor: Price returns to a Strong FVG (Volume-Wall).The Trigger: Enter the trade when the Short-term line bounces off a lower $\sigma$ level and heads back toward the $+1\sigma$ or $+2\sigma$ area.
Korean Trading Value in 100M KRW (KRX Standard)이 지표는 한국 시장(KOSPI, KOSDAQ) 투자자들을 위해 거래대금을 가장 직관적인 '억 원' 단위로 변환하여 보여줍니다.
주요 특징:
직관적인 수치: 우측 가격축(Y축)에 표시되는 숫자 '1'은 '1억 원'을 의미합니다. (예: 1000 = 1000억)
KRX 표준 최적화: 한국거래소 기준에 맞춰 금액을 환산하여 시장 주도주와 자금 유입을 즉각 파악할 수 있습니다. (참고: 본 지표는 KRX 데이터를 기준으로 하며, NXT 거래대금은 포함되지 않습니다.)
깔끔한 UI: 차트 화면을 가리는 라벨을 제거하고 트레이딩뷰 기본 색상 테마를 유지하여 가독성이 뛰어납니다.
실시간 확인: trackprice 기능을 통해 현재 진행 중인 봉의 거래대금을 우측 라벨에서 실시간으로 확인할 수 있습니다.
*****
This indicator is designed for the Korean stock market (KRX), converting trading values into the most intuitive unit for local traders: 'Eok' (100 million KRW).
Key Features:
Intuitive Scaling: The numbers on the Y-axis represent 100 million KRW per unit. (e.g., 1000 = 100 billion KRW)
KRX Standard Optimized: Easily identify market leaders and capital flow based on KRX data. (Note: This indicator is based on KRX standards and does not include NXT trading value.)
Clean UI: Minimizes on-screen clutter and maintains TradingView's default color theme for maximum readability.
Real-time Tracking: The trackprice feature allows you to monitor the current bar's trading value directly on the price scale in real-time.
Trading Value (Auto-Unit: K/M/B) with Price LabelsThis is a simple yet powerful indicator that calculates and displays the Trading Value (Price × Volume) instead of just trading quantity. It helps traders identify where the real "big money" is flowing.
By. Ninggimhee
Range Marker by Vinay SinghThis indicator marks back and forth range on given timeframes. good indicator to test range breakout.
6 Moving Averages (SMA, WMA, EMA etc.)6 Moving Averages is a simple and flexible overlay indicator that lets you plot up to six moving averages on the price chart. Each moving average can be customized by type (SMA, EMA, WMA, etc.), length, color, and visibility, making it ideal for trend analysis, dynamic support and resistance, and moving-average confluence across any market or timeframe.
ATR + STRAT Dashboard (LAST + DIR + REV) + Est MovesATR + STRAT Dashboard is a multi-timeframe market structure indicator built around The Strat and ATR context. It summarizes higher-timeframe control (buyers vs sellers), highlights key Strat conditions (inside/outside/2-1-2 style transitions), and flags common reversal candles (hammer / shooting star style signals) to help spot potential turns. It also includes ATR-based context and estimated move guidance so you can quickly gauge whether price has “room” to run or is extended.
What it shows
MTF Dashboard: quick read of trend/control across multiple timeframes
Direction/Control: color-based bias (buyers vs sellers in charge)
Reversal Flags: highlights reversal-style candles for awareness (not guaranteed)
ATR Context + Estimated Moves: volatility-based framework for targets/expectations
Non-repainting HTF behavior: designed to use closed higher-timeframe bars to reduce repaint surprises
Note: This tool is for structure + context, not trade signals by itself. Always confirm with your plan/risk management.
MNQ BandsMNQ Bands – Execution Clean MNQ Bands – Execution Clean MNQ Bands – Execution Clean MNQ Bands – Execution Clean MNQ Bands – Execution Clean MNQ Bands – Execution Clean
Crypto Swing 5% Volatility Scanner (v6)The script is a work in progress and will look for crypto that has a min +-5% Volatility for day trading.
EMA 9/24/50/100/200 with Labels on chart lines This Pine Script® v6 indicator plots five distinct Exponential Moving Averages (EMAs) onto a single trading chart to help identify trend direction and momentum. By calculating the 9, 24, 50, 100, and 200-period averages, the script allows you to visualize short-term price action alongside long-term support and resistance levels. It uses a color-coded hierarchy and varying line thicknesses to make the different timeframes easy to distinguish at a glance.
with labels on the lines





















