Williams %RDescription
This is a modified version of the classic Williams %R oscillator, adapted for markets with defined trading sessions (e.g., FTSEMIB, DAX, US stocks, etc.). It adjusts the lookback period based on the actual trading session length, making it more accurate on intraday timeframes.
Key Features
Session Adjustment:
Automatically scales the period to trading days (default: 8.5 hours for FTSEMIB, DAX, CAC; customizable for any market).
Formula (classic Williams %R):
%R = 100 × (Close - Highest High) / (Highest High - Lowest Low)
over a user-defined period (default 14 days).
Standard Levels:
-20 (overbought)
-50 (middle line)
-80 (oversold)
Visual Enhancements:
- Customizable colors for the line, levels, and background fill
- Shaded overbought/oversold zone
How to Use:
Overbought (above -20):
Potential sell signal or reversal (especially after a prolonged uptrend).
Oversold (below -80):
Potential buy signal or reversal (especially after a downtrend).
Divergences:
Look for bullish/bearish divergences between price and %R for early reversal warnings.
Best Markets:
Indices (FTSEMIB, DAX, SPX), stocks, futures. For 24/7 markets (crypto), set session duration to 24 hours.
Timeframes:
Works on intraday (15m, 1h, etc.) and daily charts.
Customization Tips:
- Adjust the period (shorter = more sensitive, longer = smoother).
- Change session duration for different markets.
- Customize colors to match your chart theme.
Note: Williams %R is a momentum oscillator and should be used in combination with other tools (trendlines, support/resistance, volume). Always practice proper risk management.
Göstergeler ve stratejiler
Friday Statistical Zones - Last 30 Fridays Only BTC 📊 Friday Statistical Zones (Pre / Dump / After)
This indicator highlights statistical risk zones for Fridays, based on the last 30 completed Fridays.
It analyzes historical price and volume behavior to determine:
• When a Pre-Dump phase typically starts
• When selling pressure statistically peaks
• When the After-Dump phase usually occurs
The result is a time-based overlay with three zones:
🟡 Pre-Dump · 🔴 Dump · 🟡 After-Dump
⚠️ This is not a signal indicator.
It does not predict price direction.
It provides risk-timing context only.
Best used for risk management and situational awareness on Fridays, not as a standalone trading strategy.
BK AK-Ghost Ladder⚔️ BK AK-Ghost Ladder — Smart Money Gaps. True Support/Resistance. ⚔️
There are already some excellent FVG tools out there—built by traders who’ve put in real work studying imbalance, liquidity, and smart money behavior.
BK AK-Ghost Ladder is simply my version of that idea: my attempt to take what I learned from those great frameworks and push it further into volume, structure, lifecycle, and accountability—so every zone is treated as a living, graded object, not just a static box on a chart.
Why “Ghost Ladder”? Because the real market is full of invisible rungs—thin pockets of liquidity, imbalance steps, and defended boundaries that price climbs and falls through like a ladder you can’t see until it matters. This tool is built to reveal those rungs before you get punished by them.
“AK” in the name is not branding—it’s honor. It belongs to my mentor A.K., whose standard of discipline and clarity sits behind every decision in this tool. Above that, all glory and gratitude to Gd—the real source of any wisdom, edge, or endurance we have in this game.
🧠 What BK AK-Ghost Ladder Actually Does
This is a full institutional FVG/SR system, not a paintbrush. It:
Detects and manages bullish & bearish FVG zones using ATR/percent filters and aging logic
Assigns a 0–100 institutional strength score and 1–5★ rating to every zone
Builds a per-zone lower-timeframe volume profile with POC, volume delta, and optional volume text
Tracks historical touches, breaks, role reversals, merging, clustering, and divergence at the zone
Runs per-zone backtest stats and feeds that into an adaptive/ML-style confidence weight
Compresses the whole environment into a real-time Info Table: bias, market position, nearest S/R, risk, session
Fires alerts only when something actually matters: strong FVGs, magnetic pull, divergence at a level
If price is the map, this is the layer that tells you which levels are real and which are noise.
🧱 Core Engine — Institutional Zone Logic
Smart FVG Detection
Clean 3-bar gap logic for bullish & bearish FVGs
ATR or % based minimum gap size + optional distance filter from price
Zone aging with max life in bars and optional “reset on touch”
Overlap & proximity control:
Prevent overlapping zones
Enforce minimum bar spacing
Or keep only the strongest zone in a cluster
Institutional Strength & Rating
Each zone gets a score (0–100) + star rating (1–5★) based on:
Volume vs average (with optional lower timeframe split)
Gap size vs ATR
Pivot confluence
Historical meaningful touches
Role reversal (support ↔ resistance)
MTF FVG alignment
Session weighting (Asian / London / NY / overlaps)
Order block overlap & imbalance behavior
VWAP proximity/extremes
Fib level alignment
Delta divergence
Zone clustering & consolidation
Adaptive “performance weight” from historical reactions
Bad zones don’t just look weaker—they literally get filtered out when you enable minimum star / institutional filters.
📊 In-Zone Volume & Profile Intelligence
Each zone can be backed by lower-timeframe volume:
Per-zone volume histogram inside the gap
POC line at the most traded price in that zone
Optional total volume label
POC line color shifts with volume delta (buy vs sell pressure)
Additional bull/bear volume bars alongside the zone and/or numeric volume text inside the box
You’re not just staring at a gap—you’re seeing the liquidity pocket inside the gap.
🎯 Structure, Confluence & Role Reversal
The engine includes deep structural context:
Pivots: stored swing highs/lows for S/R confluence
MTF FVG Confluence: two extra timeframes for higher-timeframe alignment
Fibonacci Levels: auto-mapped 0.236 / 0.382 / 0.5 / 0.618 / 0.786 with optional lines & labels
Order Blocks & Imbalance: engulfing OB detection + volume/imbalance filters
VWAP Intelligence: VWAP proximity/extreme bonuses, optional short-form plotting
Delta Divergence: volume-based confirmation flags for zones under real internal pressure
Smart S/R Positioning & Role Flip
Hide “wrong side” zones or auto-flip roles when broken & retested
Track broken zones for N bars, then retire them
Mark role reversals with badges and strength bonuses
Support/resistance is treated like behavior, not just lines.
🤖 Adaptive Learning & Backtesting
Each zone is monitored when price touches it:
Checks if price respects the zone and moves X points away (success)
Or violates beyond failure threshold (failure)
Tracks successes, failures, and win rate per zone
Feeds a confidence score into an adaptive weight so consistently performing zones matter more
Zones that meet the bar get ML/🤖 marking when enabled
The script doesn’t just say “this looks strong”—it tracks how it actually behaved.
📋 Info Table & Sessions — On-Chart War Room
On the latest bar, an Info Table summarizes:
Zone count (bull vs bear)
Market position (NEAR SUPPORT / NEAR RESISTANCE / ABOVE RESISTANCE / BELOW SUPPORT / NEUTRAL)
Nearest S/R levels
Trade bias (BULLISH / BEARISH / NEUTRAL)
Active session (ASIAN / LONDON / NY / OVERLAP / OFF)
Risk level (LOW / MED / HIGH)
Sessions are coded in EST with multipliers so you can weight London/NY more heavily than Asia if that matches your playbook.
Hover the table for a strategy tooltip: live market posture, suggested behavior near the zones, and context around the current environment.
⚠ Divergence & Alerts
Real-time RSI/OBV/ADX divergence detection at the zone
Flexible visual modes: border, icon, color change, or combinations
Alerts included:
Magnetic Zone Pull (price entering ATR-based “field” of a strong zone)
Strong Bullish FVG
Strong Bearish FVG
Divergence at Zone
Let the chart call you when a real decision point appears, instead of forcing you to stare all day.
🕹 How to Use BK AK-Ghost Ladder
1️⃣ Build Bias With Structure
Use the Info Table, star ratings, and where the 4–5★ zones cluster relative to price to decide which side of the tape you’re allowed to trade on.
2️⃣ Only Trade From Strong, Aligned Zones
Focus on 4–5★ zones with confluence (pivots, Fib, OB, VWAP, clustering).
Use the zone body/wick region as your execution area, not some random mid-air candle.
3️⃣ Treat Role Reversal & Clusters as Campaign Nodes
When a strong zone breaks, flips role, and collects touches, that’s campaign territory—not scalp noise.
4️⃣ Use Divergence/Delta as a Brake, Not a Toy
If divergence lights up at your level, respect it: size down, wait for confirmation, or stand down.
5️⃣ Let the Engine Filter Junk For You
Tune volMultiplier, star thresholds, session multipliers, distance filters, and min star rating to match your timeframe and instrument.
This script’s job is to remove your excuse for taking low-quality trades.
📜 Boundaries & Wisdom
King Solomon wrote:
“Do not remove the ancient boundary stone that your fathers have set.”
This tool is built around that idea. It maps where the real boundaries live—where smart money defends, attacks, traps, and reverses.
It will not give you discipline. It will simply remove the illusion that “you didn’t know the level was there.”
⚔️ BK AK-Ghost Ladder — Map the Smart Money Gaps. Trade Only the Real Levels.
May Gd bless your vision, your patience, and every decision you make at the edge. 🙏
Techno Signals Pro ⚡ QUICK SETUP
FOR BEGINNERS:
Keep all defaults
Trade only A+ signals
Use provided TP/SL levels
Wait for volume confirmation
FOR ADVANCED:
Adjust confluence threshold (higher = fewer but better signals)
Toggle divergence optional for more flexibility
Use MTF alignment for higher timeframes
Enable slippage buffer for realistic risk
🚀 GETTING STARTED
Add indicator to your chart
Check table for current signal
Verify conditions match your timeframe
Set orders at TP/SL levels
Manage trade according to grade
Remember: No indicator is perfect. Always use proper risk management and combine with price action confirmation. Start with paper trading to understand the system before real money.
SS Critical NSE Pair Trading Dashboard [10 Pairs]This dashboard finds live pair trading opportunities in NSE.
For Educational use only
Custom Intraday Indicator with FII and Operator Activity//@version=5
indicator("Custom Intraday Indicator with FII and Operator Activity", overlay=true)
// Moving Averages for Entry/Exit Signals
shortMA = ta.sma(close, 9)
longMA = ta.sma(close, 21)
entrySignal = ta.crossover(shortMA, longMA)
exitSignal = ta.crossunder(shortMA, longMA)
// Open Interest and OI Change
oi = request.security(syminfo.ticker + ":OI", timeframe.period, close)
oiChange = oi - ta.valuewhen(oi != na, oi, 1)
// FII and Operator Activity (Assuming data is available from a custom source)
fiiBuying = request.security("FII_BUYING_DATA", timeframe.period, close)
fiiSelling = request.security("FII_SELLING_DATA", timeframe.period, close)
operatorBuying = request.security("OPERATOR_BUYING_DATA", timeframe.period, close)
operatorSelling = request.security("OPERATOR_SELLING_DATA", timeframe.period, close)
// Support and Resistance Levels
pivotHigh = ta.highest(high, 10)
pivotLow = ta.lowest(low, 10)
// Plotting
plot(shortMA, color=color.blue, title="Short MA")
plot(longMA, color=color.red, title="Long MA")
plotshape(entrySignal, style=shape.triangleup, location=location.belowbar, color=color.green, title="Entry Signal")
plotshape(exitSignal, style=shape.triangledown, location=location.abovebar, color=color.red, title="Exit Signal")
plot(pivotHigh, color=color.orange, style=plot.style_line, title="Pivot High")
plot(pivotLow, color=color.purple, style=plot.style_line, title="Pivot Low")
// Display OI and OI Change
plot(oi, color=color.blue, title="Open Interest")
plot(oiChange, color=color.fuchsia, title="OI Change")
// Display FII and Operator Activity
plot(fiiBuying, color=color.green, title="FII Buying")
plot(fiiSelling, color=color.red, title="FII Selling")
plot(operatorBuying, color=color.blue, title="Operator Buying")
plot(operatorSelling, color=color.purple, title="Operator Selling")
Volume OscillatorDescription
The Volume Oscillator measures the momentum of trading volume by calculating the percentage difference between a fast and a slow Simple Moving Average (SMA) of daily volume. It helps traders identify periods of increasing or decreasing market participation, often signaling potential trend strength or exhaustion.
Key Features:
Adaptive to Trading Session:
Automatically adjusts SMA periods based on the actual trading session length (default: 8.5 hours for FTSEMIB, customizable for any market — e.g., 6.5h for US stocks, 24h for crypto).
Fast & Slow SMAs:
Compares a short-term SMA (default 10 days) with a longer-term SMA (default 25 days) of volume.
Oscillator Formula:
100 × (Fast SMA / Slow SMA - 1)
→ Positive values = increasing volume momentum (bullish)
→ Negative values = decreasing volume momentum (bearish)
Signal Line (optional):
A moving average of the oscillator (default 7 days) for smoother trend identification and crossover signals.
Overbought/Oversold Levels:
User-defined horizontal lines (default +40 / -40) to highlight extreme volume conditions.
Customizable Colors:
Change the oscillator and signal line colors to match your chart style.
How to Interpret:
Bullish Conditions:
Oscillator crosses above the zero line
Oscillator crosses above the signal line
Readings near or above +40 may indicate strong buying pressure (watch for possible exhaustion if too extreme)
Bearish Conditions:
Oscillator crosses below the zero line
Oscillator crosses below the signal line
Readings near or below -40 may indicate selling pressure or capitulation
Divergences:
Look for divergences between price and the Volume Oscillator (e.g., price makes new highs but oscillator fails to confirm with higher highs) — a classic sign of weakening momentum.
Best Use Cases:
Indices (FTSEMIB, DAX, CAC, SPX, etc.), stocks and futures with defined trading hours, crypto (set session duration to 24 hours).
Works well on intraday (e.g., 15m, 30m, 1h) and daily charts.
Customization Tips:
- Shorten fast/slow lengths for faster signals (more noise)
- Lengthen them for smoother, longer-term analysis
- Adjust session duration for non-standard market hours
- Enable/disable the signal line in the settings
Note: Volume data quality can vary by symbol and exchange. Always combine this indicator with price action and other tools. Use proper risk management.
Session Volume Profile - Asia London NYSession Volume Profile – Asia, London, NY
Description
OVERVIEW
Session Volume Profile is a technical analysis indicator designed to visualize how volume is distributed during the three primary global trading sessions: Asia, London, and New York. The script separates intraday volume data into time-defined sessions to help traders observe where trading activity concentrated and how value areas evolve as liquidity transitions between regions.
This indicator is intended for market structure and contextual analysis, not signal generation.
TECHNICAL OUTPUT
For each enabled session, the indicator calculates and displays:
Point of Control (POC)
The price level with the highest traded volume during the session.
Value Area High / Low (VAH / VAL)
The price range containing a user-defined percentage of total session volume (commonly 70%).
Session Volume Histogram
A horizontal volume-at-price visualization showing relative participation across price levels, highlighting high- and low-volume areas.
CALCULATION FRAMEWORK
Session Segmentation
Sessions are identified using exchange-based time boundaries. Each session is processed independently to prevent overlap and ensure clean separation of volume data.
Volume Binning
Intraday volume is allocated into discrete price buckets using an array-based structure. The resolution of these buckets is controlled by the Histogram Density input.
Value Area Expansion
The script identifies the session’s POC and expands outward in both directions until the selected percentage of total volume is reached, defining the Value Area High and Low.
HOW TO USE
Session Context
Observe how price reacts to prior-session POC and value areas when a new session begins.
Customization Controls
Individual sessions can be enabled or disabled, and visual opacity can be adjusted to maintain clarity on lower timeframes.
Session Awareness
An optional countdown timer displays remaining session time to help traders stay aware of upcoming liquidity transitions.
DESIGN NOTES
This indicator visualizes historical volume distribution only. It does not identify specific participants or predict future price behavior. All calculations are derived exclusively from price and volume data available on the chart.
DISCLAIMER
This script is provided for educational and analytical purposes only. It does not generate trade signals, alerts, or financial advice. Historical volume distributions do not guarantee future market behavior.
Swing Sniper ICT [Stansbooth]
🚀 ICT Swing Trader Pro – Precision Market Structure & Smart Money Trading
ICT Swing Trader Pro is a powerful price-action based swing trading indicator inspired by ICT and Smart Money Concepts, designed to help traders capture high-probability trend moves while holding positions for maximum pip potential.
This indicator combines Market Structure, Fair Value Gaps, Order Blocks, HTF Bias, and Smart Trailing Logic into one clean and efficient trading system — perfect for Forex, Indices, Crypto, and Commodities.
🔍 Core Features
🏗️ Market Structure Intelligence (BOS & MSS)
Automatically detects Swing Highs & Swing Lows
Identifies Market Structure Shifts (MSS / CHoCH)
Clearly defines Bullish & Bearish trends
Filters fake breakouts using real price confirmation
💎 Fair Value Gaps (FVG)
Detects Bullish & Bearish Fair Value Gaps
Highlights institutional imbalance zones
Adjustable FVG extension length
Optional mitigation filtering for clean charts
🧱 Smart Order Blocks
Automatically marks Bullish & Bearish Order Blocks
Based on last opposing candle before strong displacement
Helps identify high-probability reaction zones
📈 Higher Timeframe Bias Filter
* Align trades with Higher Timeframe trend
* Uses HTF EMA structure logic
* Avoids counter-trend entries
* Improves win-rate & trade quality
⚡ Displacement & Volume Strength Filter
* Confirms entries using strong impulsive candles
* Filters weak market moves
* Ensures trades follow real institutional momentum
🎯 High-Accuracy Entry Signals
Swing BUY & SELL signals based on:
* Market Structure Shift
* HTF Confirmation
* Price Action Strength
* Ideal for **swing traders & position traders**
🛡️ Holding Mode – Trail Big Moves
* Built-in **ATR-based trailing stop**
* Designed to hold **large trend moves**
* Helps traders stay in trades longer
* Perfect for capturing **thousands of pips**
📊 Live Dashboard
* Real-time **Trend Status**
* HTF Bias confirmation
* Clean, minimal, and informative display
✅ Best Use Cases
✔ Forex Swing Trading
✔ Indices & Gold
✔ Crypto Trend Trading
✔ Higher Timeframe Execution
✔ ICT / Smart Money Traders
⚠️ Disclaimer
This indicator is a **decision-support tool**, not financial advice. Always use proper **risk management** and combine with your own trading plan.
🔥 **Trade with structure. Trade with discipline. Trade like Smart Money.**
**ICT Swing Trader Pro – Built for serious traders.**
Volume ROC (smoothed)Description
The Volume ROC (Rate of Change) indicator is designed to measure the momentum of trading volume over a user-defined period, adjusted for the trading session length of the symbol (e.g., 8.5 hours for the FTSEMIB index). This makes it particularly useful for intraday charts where standard daily calculations might not align with actual trading days.
By focusing on volume changes rather than price, it helps identify potential shifts in market participation, such as accumulation, distribution, or unusual activity that could precede price movements.
How It Works:
Session Adjustment:
The indicator calculates the number of candles per trading day based on the input session duration (in hours) and the chart's timeframe. This ensures that the ROC and other calculations are based on "trading days" rather than calendar days, making it adaptable to markets with non-standard hours like European indices (e.g., FTSEMIB).
Daily Data Fetch:
It retrieves daily high, low, close, and volume data using "request.security" to ensure consistency across timeframes.
ROC Calculation:
The Rate of Change (ROC) is computed on volume using "ta.change" over the specified length (in days), multiplied by the candles-per-day factor for timeframe independence. By chosing the subtraction method instead of the division method we avoid distortions of the ROC below the zero line (method ok for timespans inferior to two years).
Smoothing with SMA:
A Simple Moving Average (SMA) is applied to the ROC to reduce noise and highlight trends in volume momentum.
Standard Deviation Bands:
The standard deviation of the smoothed ROC is calculated over a lookback period. Bands are plotted at +2σ (overbought) and -2σ (oversold) to provide context for extreme volume changes, similar to Bollinger Bands but applied to volume ROC.
Key Plots:
SMA Line (Orange): The smoothed ROC value. Positive values indicate increasing volume momentum; negative values suggest decreasing momentum.
Zero Line (Black Dotted): A reference line at 0, separating positive and negative ROC territories.
+2σ Band (Red Dotted): Upper overbought threshold. Crossings above this may signal excessive buying volume.
-2σ Band (Green Dotted): Lower oversold threshold. Dips below this could indicate capitulation or low interest.
Usage and Interpretation:
Trend Confirmation:
Use the SMA crossing above/below zero to confirm price trends with volume backing. For example, a rising price with positive Volume ROC suggests strong conviction.
Divergences:
Look for divergences between price and Volume ROC (e.g., price making new highs but ROC weakening), which can signal reversals.
Overbought/Oversold Signals:
The ±2σ bands act as dynamic levels. Volume ROC spiking above +2σ might precede pullbacks, while below -2σ could indicate buying opportunities.
Best Applied To:
European indices (like FTSEMIB or DAX), stocks, or futures with defined session hours. Test on intraday (e.g., 2h) and combine with price-based indicators like RSI or MACD for confluence.
Customization:
Adjust the ROC/SMA lengths for sensitivity (shorter for scalping, longer for swings). The STDEV lookback affects band width—longer periods create smoother bands.
Limitations:
Volume data can be noisy in low-liquidity symbols. This indicator assumes consistent session lengths; irregular holidays may affect accuracy. Always backtest and use with risk management.
This indicator is original and built for educational/trading purposes.
Dark Pool Pulse - Volume Pressure OscillatorDark Pool Pulse – Volume Pressure Oscillator
Description
OVERVIEW
Dark Pool Pulse is a protected technical analysis oscillator designed to visualize changes in directional volume pressure over time. The indicator transforms cumulative buying and selling activity into a normalized oscillator to help traders contextualize periods of relative market stability versus expansion.
The script is intended as a market condition visualization tool, not a signal generator.
CORE CONCEPT
The indicator evaluates the balance between buying and selling volume by tracking cumulative directional pressure. This pressure is used as a proxy for broader liquidity behavior, allowing traders to assess whether price action is occurring in a relatively stable environment or during periods of accelerating participation.
Rather than focusing on individual candles, the oscillator emphasizes persistence of volume imbalance across a rolling window.
CALCULATION FRAMEWORK
Directional Volume Pressure
The script measures the difference between buying and selling volume on each bar and accumulates this value over time to form a Net Pressure series.
Normalization Process
To make pressure comparable across symbols and timeframes, the cumulative series is normalized using a dynamic lookback window. This process scales the output to a bounded range between 0 and 100.
Oscillator Construction
The normalized pressure value is plotted as a single oscillator, allowing traders to observe shifts in participation intensity rather than raw volume magnitude.
INTERPRETING THE OSCILLATOR
60–100: Relative Stability
Indicates sustained volume balance and slower pressure changes, often associated with consolidation or mean-reverting conditions.
0–40: Relative Expansion
Indicates persistent directional pressure, often associated with momentum-driven or higher-volatility environments.
These zones are contextual references, not predictive thresholds.
DESIGN INTENT & LIMITATIONS
Dark Pool Pulse does not identify specific participants, venues, or transactions. It does not measure actual dark pool activity and should not be interpreted as such. All calculations are derived solely from publicly available price and volume data.
The script does not generate trade signals, alerts, or execution guidance.
SOURCE & DISCLAIMER
Published as a protected script to preserve the specific normalization techniques used in the pressure calculations.
This indicator is provided for educational and analytical purposes only and should be used alongside other forms of technical analysis.
llama fixed-length moving averages [SMA, WMA]Llama Moving Averages
I needed moving averages on my charts, but I wanted them hardcoded based on the following values:
timframe --- MA length
Daily --- 20D (==1 trading month)
Weekly --- 30W (30W moving averages for assessing long term trends)
15m --- 1W (or 5 days)
Two averages:
EMA and WMA: fast moving and slow moving based on closes.
In addition to this, I needed the following things:
1. MAs ONLY on 15m, 1D and 1W timeframes.
2. Consistent colors.
3. for 15m chart, we want a 5D SMA, so 1D = 15m * 25(±1); times 5; 25*5 = 125
4. Option to configure different values for the daily chart, since I trade the daily chart. Defaults: 20.
If you were looking for something similar, enjoy!
RsRotation Dashboard [Multi-MA + RSI] USThis uses the relative strength of the stock compared with the QQQ ticker.
3MA Alignment Ribbon [AlgoTraderPro]3MA Alignment Ribbon is a clean, visual trend-structure indicator based on the alignment of three moving averages.
Instead of focusing on crossovers, it highlights trend quality and direction by dynamically coloring the moving averages and the ribbon between them.
The goal is simple : See at a glance whether the market structure is bullish, bearish, or neutral.
⸻
How It Works
The indicator plots three moving averages (Fast, Medium, Slow) and evaluates their alignment:
Bullish → Fast > Medium > Slow
Bearish → Fast < Medium < Slow
Neutral → Any other configuration
The moving averages and the filled ribbon between them are automatically colored based on this alignment, making trend conditions immediately visible.
⸻
Key Features
✅Multi-MA Support
Choose between:
EMA (default)
SMA
WMA
VWMA
RMA
HMA
✅ Alignment Modes
Strict: classic Fast > Medium > Slow logic
Tolerant: requires a minimum percentage separation between averages to reduce noise in ranging markets
✅ Optional Slope Filter
Filter signals by requiring the slow MA to be rising or falling, helping avoid false trend states during flat conditions.
✅ Higher Timeframe (HTF) Ribbon
Overlay the same 3MA alignment logic from a higher timeframe on your current chart:
Fully optional
Correctly calculated on the HTF itself
Option to use confirmed HTF bars only (reduces repaint confusion)
✅ Alerts & Visual Signals
Alerts when alignment turns Bullish, Bearish, or Neutral
Optional on-chart markers when the alignment flips
✅ Custom Styling
Fully customizable colors and transparency
Designed to remain readable without cluttering the chart
⸻
How to Use It
This indicator works best as:
A trend filter for discretionary trading
A context tool for entries using other setups
A market structure overlay for scalping, swing trading, or position trading
It does not generate buy/sell signals by itself — instead, it helps you trade aligned with market structure.
⸻
Default Settings
The default lengths (50 / 100 / 200 EMA) are suitable for most markets and timeframes, including crypto, forex, indices, and equities.
Market Efficiency DashboardDescription
This indicator is an analytical tool designed to visualize the relationship between price action and market efficiency. Based on the Choppiness Index (CI), this indicator identifies whether the market is in a state of Range Contraction (Consolidation) or Range Expansion (Trending) . This implementation introduces a unique 50-pivot baseline to better differentiate between these two market characters, providing traders with an objective view of volatility cycles.
Key Features
Volatility Cycle Logic: A refined implementation of the Choppiness Index that assists in filtering market noise during low-volatility periods.
Pivot-50 Visualization: A custom geometric layout that separates range contraction from trend expansion for faster visual interpretation.
Multi-Timeframe (MTF) Data Handling: Enables the monitoring of higher-timeframe efficiency cycles without switching charts.
Trend Context Filter: Integrates a 200-period EMA to provide a directional baseline relative to the current market state.
Real-Time Status Dashboard: A real-time data table providing a summary of current market efficiency and trend bias.
Signal Refinement: Includes optional smoothing (EMA/SMA/WMA) to reduce calculation "jitter" and provide clearer structural signals.
Inputs Overview
Choppiness Length: Sets the lookback period for the efficiency calculation (Default: 14).
Calculation Timeframe: Allows the user to select the source timeframe for the index data.
Smoothing Method: Users can choose between multiple moving average types to filter the raw index output.
Threshold Levels: Customizable Fibonacci-based levels (61.8 and 38.2) used to define the boundaries of "Choppy" and "Trending" environments.
EMA Filter: Toggle for the 200-period Exponential Moving Average used for directional bias.
How to Use
Context Identification: Observe the histogram’s position relative to the 50-pivot. Bars expanding upward toward the 61.8 level indicate the market is coiling/congested.
Trend Confirmation: Bars expanding downward toward the 38.2 level indicate the market is moving efficiently in a specific direction.
Bias Alignment: When the Trend Bias is Bullish and the state is Trending, price discovery is likely occurring to the upside. Conversely, a Bearish bias in a Trending state suggests efficient movement to the downside.
Risk Management: Rising choppiness levels often precede a period of trend exhaustion or reversal, signaling a potential time to reduce exposure.
How it Helps
This tool is designed to assist in objective decision-making by identifying the current "market character." By distinguishing between trending and non-trending environments, it helps traders select the appropriate strategy for the current context—avoiding trend-following entries during sideways markets and identifying when a market has entered a period of price expansion.
Alerts
Trend Starting: Triggers when the index crosses below the lower threshold, suggesting a transition into an efficient trend.
Squeeze/Consolidation: Notifies the user when the index crosses above the upper threshold, indicating range contraction.
Midpoint Cross: Signals when the index crosses the 50-level, marking a shift in market momentum.
⚠️ Disclaimer:
This script/indicator is not endorsed by, affiliated with, sponsored by, or connected to TradingView in any manner. The author is not a TradingView partner.
This script/indicator and all related content are provided “as is” and “as available,” without any warranties of any kind, express or implied. The content is strictly for educational and informational purposes and does not constitute financial, investment, trading, or legal advice.
The author makes no representations or guarantees regarding accuracy, reliability, profitability, or future performance. Use of this script/indicator is entirely at the user’s own risk, and the author assumes no liability for any losses, damages, or financial consequences arising from its use.
PIT Magic IndicatorDPOC (Developing Point of Control) is the price level where the most trading volume has occurred so far in the current session, and it moves as new volume comes in, often acting like a short-term magnet for price.
WPOC (Weekly Point of Control) is the price level with the highest traded volume for the entire week, commonly acting as a strong reference point where price may pause, reverse, or consolidate.
Support is a price zone where buying interest is strong enough to stop or slow down a decline, often causing price to bounce upward.
Resistance is a price zone where selling pressure tends to overpower buying, frequently preventing price from moving higher and causing pullbacks.
Structure Lite - Automatic Major Trend LinesStructure Lite – Pivot-Based Market Structure Visualization
OVERVIEW
Structure Lite is an open-source charting tool designed to assist traders in visualizing higher-timeframe market structure. The script identifies major swing points using high-period pivot analysis and projects structural support and resistance lines directly on the chart. Its purpose is to highlight persistent market structure while minimizing visual noise.
CORE CONCEPTS & CALCULATIONS
Pivot Identification
The script uses Pine Script’s built-in ta.pivothigh() and ta.pivotlow() functions to identify confirmed swing highs and lows. A pivot is only validated after a user-defined number of bars (Major Pivot Lookback) have formed on both sides of the price extreme, ensuring that only structurally significant pivots are selected.
Structural Pairing
Each structural line is created only after two consecutive pivots of the same type are confirmed (high-to-high or low-to-low). The script stores the price and bar index of these pivots and uses them as fixed anchor points.
Line Projection
Once a valid pivot pair is formed, the script draws a line between the two points using line.new() and extends it forward using extend.right. These lines represent projected structural boundaries rather than trade signals.
Object Management
To maintain chart clarity and performance, the script manages all drawn objects through a line array. A FIFO (First-In, First-Out) method is applied so that only the three most recent structural lines remain visible. Older lines are automatically deleted as new ones are created.
DESIGN PHILOSOPHY & ORIGINALITY
While many indicators plot frequent swing points or short-term pivots, Structure Lite focuses on structural persistence. By filtering for higher-period pivots and limiting the number of displayed projections, the script emphasizes dominant market structure rather than short-term fluctuations. This approach is intended to support discretionary analysis, not replace it.
HOW TO USE
Major Pivot Lookback
Increase the value to focus on higher-timeframe structure (e.g., swing or position trading).
Decrease the value to visualize intraday structural levels.
Visual Encoding
Green lines represent projected structural support
Red lines represent projected structural resistance
Visibility Control
A boolean input allows all structure lines to be hidden instantly to restore a clean price chart.
LIMITATIONS & DISCLAIMER
This script is a visualization tool only. It does not generate trade signals, entry or exit points, alerts, or directional forecasts. All plotted levels are derived from historical price action and may change as new pivots form. The script is provided for educational and analytical purposes and should be used in conjunction with other forms of market analysis
EngulfingThe 'Engulfing' is a straightforward price action tool designed to highlight momentum shifts through color-coded candles. You also get a layer of manual control with a custom candle range setting. This feature allows you to filter out small, insignificant candles and focus only on patterns that meet your specific entry criteria.
This indicator is intended to be used strictly as a confluence tool, not a standalone trading system. It is most effective when used to confirm entries at key areas of interest, such as established support and resistance or supply and demand zones. To find valid trades, avoid trading every highlighted candle in isolation; instead, use the color changes as a visual signal that momentum is shifting at a structurally important price level.
Flux Portfolio Visualizer | GL0WDASHFlux Portfolio Visualizer | GL0WDASH
Flux Portfolio Visualizer lets you simulate and track the performance of a multi-asset portfolio directly on the chart.
Choose up to 10 assets, assign custom allocation weights, and set a start date to generate a real-time equity curve based on historical price data.
The script performs one-time proportional allocation at the start date and then tracks equity forward without rebalancing, giving you a realistic view of how your portfolio would have evolved over time. It also includes a maximum equity drawdown tracker and an optional level line for reference.
Features:
• Allocate to up to 10 assets with custom weight percentages
• Specify initial capital and simulation start date
• Real-time equity curve based on confirmed bars
• Maximum equity drawdown tracking + table display
• Optional horizontal reference line
• Designed for long-horizon allocation experiments
Great for:
• Passive portfolio stress-testing
• Comparing allocation strategies
• Evaluating long-term crypto/asset mixes
• Visualizing risk via max drawdowns
This tool does not execute trades or rebalance—its purpose is pure visualization, giving traders clarity about how portfolios behave under different allocation assumptions.
If you expand or modify the indicator, please credit the original author.
BTC Gann Harmonics Weighted + Phase + EMA OptimizedBTC Gann Harmonics Weighted + Phase + EMA Optimized
Volatility State Index [Interakktive]The Volatility State Index (VSI) classifies market volatility into three behavioral states: Expansion, Decay, and Transition. It answers one question visually: Is volatility supporting price movement, withdrawing, or unstable?
Unlike traditional volatility indicators that show levels or bands, VSI diagnoses the current volatility regime so traders can adapt their approach accordingly.
█ WHAT IT DOES
• Classifies volatility into three states: Expansion (teal), Decay (grey), Transition (amber)
• Measures volatility momentum as a percentage rate-of-change
• Applies stability filtering to detect unstable/choppy conditions
• Uses persistence logic to prevent state flickering
• Exports state data for use in alerts and strategies
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is diagnostic only)
• NO performance claims
This is a volatility diagnostic tool, not a trading system.
█ HOW IT WORKS
The VSI processes volatility through a five-stage pipeline:
STAGE 1 — Base Volatility
Calculates ATR as the foundation for volatility measurement.
STAGE 2 — Smoothing
Applies EMA smoothing to reduce noise in the volatility series.
STAGE 3 — Volatility Momentum
Computes the percentage rate-of-change of smoothed volatility:
Volatility Momentum (%) = ((Current ATR - Previous ATR) / Previous ATR) × 100
Positive values indicate expanding volatility; negative values indicate contracting volatility.
STAGE 4 — Stability Filter
Tracks how frequently volatility momentum changes direction. Frequent sign changes indicate unstable, choppy conditions.
Stability Score = 1 - (Average Flip Rate)
Low stability forces the Transition state regardless of momentum level.
STAGE 5 — State Classification
Combines momentum thresholds and stability to determine the final state:
• Expansion: Momentum ≥ +5% (default threshold)
• Decay: Momentum ≤ -5% (default threshold)
• Transition: Between thresholds OR low stability
A persistence filter requires states to hold for multiple bars before confirming, preventing visual noise.
█ INTERPRETATION
EXPANSION (Teal)
Volatility is increasing in a sustained way. Price moves are becoming larger.
What it suggests:
• Breakouts are more likely to follow through
• Stops may need wider placement
• Trend-following approaches tend to work better
• Mean-reversion weakens
DECAY (Grey)
Volatility is decreasing. Price is compressing into tighter ranges.
What it suggests:
• Breakouts are more likely to fail
• Ranges tend to hold
• Trend-following underperforms
• Mean-reversion strengthens
TRANSITION (Amber)
Volatility behavior is unclear or unstable. This is NOT neutral — it is uncertainty.
What it suggests:
• Mixed signals — one bar huge, next bar dead
• Higher whipsaw risk
• Reduced conviction in either direction
• Consider waiting for clarity
The key insight: Amber is a warning, not a middle ground. It appears when volatility cannot decide what it wants to do.
█ VISUAL DESIGN
The indicator uses a state-first histogram design:
• Histogram height shows volatility momentum percentage
• Histogram color shows the classified state
• Zero line provides visual anchor
• Optional momentum line for confirmation
• Optional background tint (default OFF for clean charts)
The visual hierarchy prioritizes instant state recognition. A trader should understand the volatility environment in under one second without reading numbers.
█ INPUTS
Core Settings
• ATR Length: Base volatility measurement period (default: 14)
• Smoothing Length: EMA smoothing applied to ATR (default: 10)
• Momentum Length: Rate-of-change lookback (default: 10)
State Classification
• Expansion Threshold (%): Momentum above this = Expansion (default: 5.0)
• Decay Threshold (%): Momentum below this = Decay (default: -5.0)
• Persistence Bars: Bars required to confirm state change (default: 3)
• Stability Lookback: Window for stability calculation (default: 20)
• Stability Threshold: Below this = forced Transition (default: 0.5)
Visual Settings
• Show State Histogram: Toggle main display (default: ON)
• Show Momentum Line: Thin confirmation line (default: OFF)
• Show Zero Line: Baseline reference (default: ON)
• Show Background Tint: Subtle state coloring (default: OFF)
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• ATR (Raw)
• ATR (Smoothed)
• Volatility Momentum (%)
• Stability Score (0-1)
• State (-1/0/1): Decay = -1, Transition = 0, Expansion = 1
• Is Expansion (0/1)
• Is Decay (0/1)
• Is Transition (0/1)
These exports allow VSI to be used as a filter in Pine Script strategies or alert conditions.
█ ORIGINALITY
While ATR and volatility indicators are common, VSI is original because it:
1. Classifies volatility into behavioral states rather than showing raw levels
2. Applies momentum analysis to volatility itself (rate-of-change of ATR)
3. Uses stability filtering to detect genuinely unstable conditions
4. Implements persistence logic to prevent state flickering
5. Provides a state-first visual design optimized for instant recognition
VSI is state-first: it classifies volatility regimes (Expansion/Decay/Transition) rather than plotting volatility level alone, using momentum and stability to reduce false regime reads.
This is not a modified ATR or Bollinger Band — it is a volatility regime classifier.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes — state classification adapts accordingly
Best on: Instruments with consistent volatility patterns
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Effort-Result Divergence — compares volume effort to price result
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
Candle Strength Analyzer by The Ultimate Bull Run🎯 WHAT IT MEASURES
The score combines 4 key factors:
1️⃣ BODY RATIO (30%)
How much of the candle is "body" vs "wicks"
• 90%+ = Marubozu (very strong)
• 70%+ = Strong
• <30% = Weak/Indecision
2️⃣ CLOSE POSITION (25%)
Where the candle closed within its range
• Bullish closing near high = Strong
• Bearish closing near low = Strong
• Closing in middle = Weak
3️⃣ RELATIVE VOLUME - RVOL (25%)
Current volume compared to average
• RVOL 2.0+ = Very high activity
• RVOL 1.5+ = High (confirmed move)
• RVOL <0.7 = Low (unconfirmed)
4️⃣ SIZE vs ATR (20%)
Candle size compared to typical volatility
• 2x ATR = Large, significant
• 1x ATR = Normal
• 0.5x ATR = Small, insignificant
