GK V2 Zero-Lag trend Ribbon GK Zero-Lag Trend Ribbon V2 is the same as version 1 but with a trend ribbon to help identify the trend. Designed to help keep traders aligned with clean market direction, it uses a Zero-Lag EMA based trend ribbon with adaptive volatility bands to clearly identify bullish and bearish trends wile filtering out noise with signal prints. The ribbon dynamically changes colour to show trend bias, and GK BUY / GK SELL only print on confirmed trend flip- one clean signal per trend no clutter
Volatilite
Dual VWAP + Dual ATR % BandsScript is adjusted for 5min time frame, can play around setting to adjust accordingly.
It has
Vwap regular
Vwap with adjustable time period
Bands based on ATR value, ie (if ATR is 10, one can adjust band to VWap+ATR %( adjustable)
ATR% can be adjusted to include daily ATR values in addition to current day ATR based on chart time frame.
The bands can be tied to regular VWAP or period VWAP
Regards
RSI adaptive zones with divergencesThis script is modified version of Adaptive RSI,
Thanks to creator of the script, modification is made by cloude code.
TA Confluence Scanner v2.9 | Mint_Algo📘 TA Confluence Scanner
Introduction
The TA Confluence Scanner is a multi-factor trend system designed to filter market noise and identify high-probability trade setups. By combining adaptive algorithms (KAMA) with Price Action methodologies (SMC, Breakouts, Fractals), this indicator operates on the principle of Confluence : a signal is only valid when multiple independent tools agree on the direction.
Instead of relying on a single lagging indicator (like just MA fast and slow crossover), this script acts as a "Scanner," evaluating the market state through Volatility, Trend Structure, and Equilibrium.
───────────────────────────────────────────────────
Important Note
To make this "Plug & Play," I have included optimized presets in the settings for different timeframes (1m/15m-1h/4h-1D) and trading styles (Scalper, Intraday, Swing, Investor) tested on symbols:
FX:EURUSD
IG:NASDAQ
BITSTAMP:BTCUSD
BINANCE:ETHUSD
CAPITALCOM:US500
OANDA:XAUUSD
NASDAQ:AAPL
NASDAQ:TSLA
BUT default settings already include a good preset which excludes most of the noise and grabs the trend better (fewer entries, but quality is higher).
Check the presets at the bottom 👇
───────────────────────────────────────────────────
Core Features
Adaptive Trend Filter (KAMA): Adjusts to market volatility to distinguish between chop and true trends.
SMC Equilibrium (EQ) Fans: A three-tiered dynamic structure (Fast, Medium, Slow) for trailing stops and targets.
Confluence Counter: Visually displays the strength of a signal (e.g., "Strong 4/6") based on how many factors align.
Re-Entry Logic: Identifies low-risk entry points within an existing trend.
Automated S/R & Breakouts: Detects key pivot levels and structural breaks.
───────────────────────────────────────────────────
Settings & Components Breakdown
1. KAMA (Primary Trend Filter)
The backbone of the system. It calculates the Efficiency Ratio (ER) of price movement.
How it works: If the ER is high (strong trend), KAMA follows price closely. If ER is low (ranging), KAMA flattens out to prevent false signals.
Tuning:
Fast (ER ~100/5/60): For Scalping.
Smooth: Default settings are optimized for a balance between lag and noise reduction.
2. SMC Equilibrium (EQ Structure)
Based on the HL2 formula (High+Low / 2), this creates a "fan" of three lines:
EQ1 (Fast): The aggressive line. Used for early exits or scalping stops.
EQ2 (Medium): The baseline trend structure.
EQ3 (Slow): The major trend container. Used for position trading.
Usage: Use these lines to gauge how far price has deviated from its "fair value."
3. Breakout & Internal Trend
Lookback Period: Defines the range for a valid breakout. A lower lookback (e.g., 10) gives earlier signals but more noise; a higher lookback (e.g., 20-30) confirms significant structural breaks.
Internal Trend: A simplified SMA check to ensure immediate momentum aligns with the macro trend.
4. Signal Strength (The Confluence Meter)
The indicator counts active signals from: KAMA, Internal Trend, S/R, FVG, Breakout, and EQ.
Strong Signal: When the count hits your threshold (e.g., 4/6 ). This suggests a high-probability reversal or breakout.
Medium Signal (Triangles): These appear when the trend is active but not all filters align. These are excellent continuation/re-entry points.
───────────────────────────────────────────────────
How to Trade (Strategy Guide)
🎯 The Entry
Wait for a Strong Signal (Large Label). This confirms that volatility, structure, and momentum have aligned.
Conservative: Wait for the candle to close.
Aggressive: Enter on the breakout of the KAMA line.
🔄 Re-Entry & Continuation
Markets rarely move in a straight line.
Scenario: You missed the initial "Strong" entry, or you took profit and want to re-enter.
The Signal: Look for the small Triangles (Medium signals). These often appear after a pullback when price resumes the main trend.
Logic: If the main KAMA trend is still green/red, but the "Strong" signal isn't firing, a Triangle indicates a safe place to add to a position.
⚠️ Pyramiding & Risk Management (Advanced)
The EQ Lines (Fast/Medium/Slow) are designed for a tiered position management strategy:
Entry: Open position (e.g., 0.03 lots).
First Take Profit: When price extends far beyond EQ1 (Fast) , lock in partial profits.
Trailing Stop: Move your Stop Loss to trace the EQ2 (Medium) line.
Trend Riding: Hold the "Runner" portion of your position until price closes back under EQ3 (Slow) or the KAMA line.
Tip: Use William Fractals (Period 2) to pinpoint exact swing highs/lows for tightening stops.
───────────────────────────────────────────────────
Presets & Optimized Settings
To make this "Plug & Play," I have included optimized presets in the settings for different trading styles.
(If you don't see some parameters, that means they are turned off in trading mode)
⚡ SCALPER (1m - 5m)
KAMA:
ER: 100
Fast Length: 15
Slow Length: 30
FVG:
Size %: 0.01
Trend Detection:
Length: 20
Breakout:
Lookback Period: 10
S/R Detection:
Pivot Length: 10
Tolerance: 0.3
SMC EQ:
Default: 10
EQ1: 10
EQ2 (Main): 30
EQ3: 120
Signal Strength:
Strong: 4
Medium: 3
📊 INTRADAY (15m - 1H)
KAMA:
ER: 100
Fast Length: 5
Slow Length: 30
Trend Detection:
Length: 100
Breakout:
Lookback Period: 30
S/R Detection:
Pivot Length: 20
Tolerance: 0.5
SMC EQ:
Default: 10
EQ1: 10
EQ2 (Main): 40
EQ3: 80
Signal Strength:
Strong: 4
Medium: 3
📈 SWING (4H - 1D)
KAMA:
ER: 30
Fast Length: 4
Slow Length: 30
Trend Detection:
Length: 50
Breakout:
Lookback Period: 20
S/R Detection:
Pivot Length: 30
Tolerance: 0.7
SMC EQ:
Default: 10
EQ1: 10
EQ2: 50
EQ3 (Main): 60
Signal Strength:
Strong: 4
Medium: 3
💼 INVESTOR (4H - 1D+)
KAMA:
ER: 30
Fast Length: 5
Slow Length: 10
Trend Detection:
Length: 100
Breakout:
Lookback Period: 50
S/R Detection:
Pivot Length: 30
Tolerance: 0.7
SMC EQ:
Default: 10
EQ1: 10
EQ2: 50
EQ3 (Main): 100
Signal Strength:
Strong: 4
Medium: 3
───────────────────────────────────────────────────
Notes
FVG (Fair Value Gaps): Optional. Enable if you trade volatile assets like Crypto/Gold where imbalances are common.
Support/Resistance: The built-in Pivot system is optional. Disable it if you prefer drawing your own levels to keep the chart clean.
Recommended Pairing:
For best results, pair this with a momentum oscillator like RSI to detect the range regime of a trend. Or DI+ and DI- (when it crosses over each other, that means the "range of possible" regime change of a trend).
───────────────────────────────────────────────────
Disclaimer:
This tool is for informational purposes only. "Confluence" increases probability but does not guarantee results. Always manage your risk.
Adaptive Trend Mapper-ATM [Arjo]Adaptive Trend Mapper (ATM) is a directional pressure indicator designed to visualize how buying and selling commitment evolves during market trends.
Instead of focusing on price direction alone, ATM maps who is exerting stronger pressure —buyers or sellers—and how that pressure expands, weakens, or compresses over time.
Idea
ATM is built around a single concept:
Directional pressure is best understood by weighting trend strength against directional imbalance .
To achieve this, the indicator transforms trend strength into two opposing pressure measures:
Bull Pressure Index
Bear Pressure Index
These indices expand, contract, and converge based on how strongly buyers or sellers are committing, rather than simply tracking momentum or price changes.
How It Works
1. Bull & Bear Pressure Indices
ATM derives two pressure curves by weighting trend strength against directional imbalance:
The Bull Pressure Index increases when upward pressure strengthens.
The Bear Pressure Index increases when downward pressure strengthens.
Both indices operate on a 0–100 scale and are designed to diverge during strong trends and converge during non-directional or compressed phases.
Optional smoothing can be applied to reduce noise and improve readability.
2. Compression / Squeeze Detection
When:
Trend strength weakens,
Bull and Bear pressure converge,
And convergence continues over time,
ATM highlights a compression zone, signaling reduced directional conviction.
These zones often precede directional expansion once pressure rebuilds.
3. Adaptive Trend Context
An adaptive smoothed price curve is displayed on the chart to provide trend context.
Color changes reflect short-term directional shifts, helping align pressure signals with price structure.
This component is contextual only and does not generate signals by itself.
4. Optional Trend Bias Reference
An optional EMA-50 can be enabled to help identify broader directional bias and align pressure behavior with the prevailing trend.
5. Step-Based Visualization
The pressure indices can be optionally step-compressed, improving clarity on fast or noisy charts by reducing minor fluctuations.
How to Use ATM
Rising Bull Pressure → strengthening buyer commitment
Rising Bear Pressure → strengthening seller commitment
Wide separation between indices → strong directional trend
Convergence with compression highlight → range or pre-breakout environment
Notes
ATM uses widely known market concepts such as trend strength, directional imbalance, and adaptive smoothing as conceptual inputs.
All calculations, pressure mapping logic, and compression detection are original implementations developed specifically for this script.
ATM is effective when used to assess participation quality, not as a standalone signal generator.
Disclaimer
This indicator is intended for analysis and educational purposes only.
It does not generate buy or sell signals.
Always apply proper risk management.
Happy Trading.
Algomist - Adaptive Velocity Cross🚀 Algomist: The Adaptive Velocity Cross (AVC)
Automate Your Edge
This strategy transcends the limitations of classic Moving Average (MA) crossovers. The Adaptive Velocity Cross (AVC) is a state-of-the-art trend-following system designed for automated execution, filtering out low-probability whipsaws and prioritizing high-momentum breakouts in volatile markets.
It's not just a signal generator; it's a fully automated, risk-managed trading plan that delivers structured trade signals directly to your Algomist account.
🔥 Key Features & Technology
Adaptive Hull Moving Averages (HMA): Utilizes the Hull MA to significantly reduce lag compared to standard EMAs and SMAs. The faster and slower HMAs provide a highly responsive gauge of short-term and medium-term trend direction.
Multi-Layer Volatility Filtering: Trades are strictly prohibited during flat, low-volatility market conditions.
Current Timeframe Filter (ATRMinFilter): Ensures trades only fire when current market momentum is strong enough to carry the trend.
Higher Timeframe Filter: Checks the ATR on a higher timeframe (e.g., 1H) to confirm the structural trend strength, preventing entries during tight squeezes.
Visual Trend Velocity: The space between the Fast (Blue) and Slow (Pink) HMAs is colored and filled, providing an immediate visual cue for trend direction and strength (width of the band).
Asymmetric Risk Management: Uses the dynamic Average True Range (ATR) to calculate Stop Loss and Take Profit levels, ensuring risk and reward are proportional to current market volatility.
⚙️ How It Works (The Logic)
The AVC only executes a trade when all three high-conviction criteria are met:
Trend Signal: The Fast $\text{HMA}$ crosses the Slow $\text{HMA}$ (Crossover).
Volatile Market Confirmation: The market must be sufficiently volatile on both the current timeframe and the higher structural timeframe ($\text{ATR}$ filters passed).
Risk Management: A defined $\text{SL}$ (Stop Loss) and $\text{TP}$ (Take Profit) are calculated based on the current market $\text{ATR}$ to manage the position before entry.
🤖 Automation Ready
The strategy is built with automation as the priority. Upon a confirmed entry, the script sends a cleanly formatted JSON string via a TradingView Webhook alert to Algomist. Create your account and get your own web hook @ www.algomist.app
Example Alert Output:
{
"symbol": "ETHUSDC",
"side": "LONG",
"entry_price": 67500.0,
"stop_loss": 66000.0,
"take_profit": 70000.0,
"timestamp": 1766715660462
}
This signal is ready for immediate consumption by your Algomist execution engine, ensuring lightning-fast and error-free order placement.
📊 Recommended Use
Asset Class: Highly effective on high-liquidity, high-volatility assets (e.g., Crypto Majors, Forex Pairs, Indices).
Timeframes: Works best on 1m to 15 min charts.
Risk Profile: Medium-to-High frequency trend-following system.
Disclaimer: The strategy code provided is for informational and educational purposes. Past performance is not indicative of future results. Always backtest and forward-test any automated strategy extensively before using real capital.
mk bollinger bands signals - free overly trueThis is the FREE version of MK Bollinger Bands Signals.
A clean and simple Bollinger Bands indicator designed to keep the chart clear.
It provides basic Buy & Sell signals for educational and intraday use.
This version is intended as a free release.
Advanced features and a PRO version may be released separately.
Prism Band Dynamics [JOAT]Prism Band Dynamics - Bollinger-Style Bands with Force Detection
Introduction and Purpose
Prism Band Dynamics is an open-source overlay indicator that creates dynamic Bollinger-style bands with an innovative "force detection" system. The core problem this indicator solves is that standard Bollinger Bands show volatility but don't indicate directional momentum. When all three band components (upper, lower, basis) move in the same direction, it indicates strong directional force that standard bands don't highlight.
This indicator addresses that by detecting when all band components align directionally, providing a clear signal of market force.
Why Force Detection Matters
Standard Bollinger Bands expand and contract based on volatility, but they don't tell you about directional momentum. Force detection adds this dimension:
1. Bullish Force - Upper band, lower band, AND basis all moving up together. This indicates strong upward momentum where even the lower support level is rising.
2. Bearish Force - Upper band, lower band, AND basis all moving down together. This indicates strong downward momentum where even the upper resistance level is falling.
3. Neutral - Mixed movement indicates consolidation or uncertainty.
How Force Detection Works
bool upperUp = upper > upper
bool lowerUp = lower > lower
bool basisUp = basis > basis
int forceFull = if upperUp and lowerUp and basisUp
1 // Bullish force
else if upperDn and lowerDn and basisDn
-1 // Bearish force
else
0 // Neutral
Additional Features
Squeeze Detection - Identifies when band width contracts below threshold, often preceding large moves
Gradient Fills - Color intensity reflects force strength
Direction Change Arrows - Visual markers when force direction shifts
Dashboard Information
Force - Current force status (BULLISH/BEARISH/NEUTRAL)
Position - Price location within bands (Upper/Mid/Lower Zone)
Band Width - Current width percentage with expansion/contraction label
Volatility - Squeeze status (SQUEEZE/NORMAL)
Force Count - Bars since last force change
How to Use This Indicator
For Trend Following:
1. Enter long when force turns BULLISH
2. Enter short when force turns BEARISH
3. Exit or reduce when force turns NEUTRAL
For Squeeze Breakouts:
1. Watch for SQUEEZE status in dashboard
2. Prepare for breakout in either direction
3. Enter when force confirms direction after squeeze
For Mean Reversion:
1. Only trade mean-reversion when force is NEUTRAL
2. Avoid fading moves when force is active
3. Use band touches as entry points during neutral force
Input Parameters
Length (20) - Period for basis and standard deviation
Multiplier (2.0) - Standard deviation multiplier for bands
MA Type (SMA) - Basis calculation method
Squeeze Threshold (0.5) - Band width percentage for squeeze detection
Timeframe Recommendations
4H-Daily: Cleanest force signals
1H: Good balance of signals and reliability
15m: More signals but more noise
Limitations
Force detection can lag during rapid reversals
Squeeze breakouts can fail (false breakouts)
Works best in markets with clear trending/ranging phases
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Force detection does not guarantee trend continuation. Always use proper risk management.
- Made with passion by officialjackofalltrades
MOMENTUM FLIPPERScalp tops and bottom of big volatility moves.
Detects when momentum is shifting.
Look for clusters of dim arrows followed by a solid arrow or two.
Best on 2-3 minute chart.
Do not use when choppy.
Kalman Exponential SuperTrendThe Kalman Exponential SuperTrend is a new, smoother & superior version of the famous "SuperTrend". Using Kalman smoothing, a concept from the EMA (Exponential Moving Average), this script leverages the best out of each and combines it into a single indicator.
How does it work?
First, we need to calculate the Kalman smoothed source. This is a kind of complex calculation, so you need to study it if you want to know how it works precisely. It smooths the source of the SuperTrend, which helps us smooth the SuperTrend.
Then, we calculate "a" where:
n = user defined ATR length
a = 2/(n+1)
Now we calculate the ATR over "n" period. Classical calculation, nothing changed here.
Now we calculate the SuperTrend using the Kalman smoothed source & ATR where:
kalman = kalman smoothed source
ATR = Average True Range
m = Factor chosen by user.
Upper Band = kalman + ATR * m
Lower Band = kalman - ATR * m
Now we just smooth it a bit further using the "a" and a concept from the EMA.
u1 = Upper Band a bar ago
l1 = Lower Band a bar ago
u = Upper Band
l = Lower Band
Upper = u1 * (1-a) + u * a
Lower = l1 * (1-a) + u * a
When the classical (not Kalman) source crosses above the Upper, it indicates an uptrend. When it crosses below the Lower, it indicates a downtrend.
Methodology & Concepts
When I took a look at the classical SuperTrend => It was just far too slow, and if I made it faster it was noisy as hell. So I decided I would try to make up for it.
I tried the gaussian, bilateral filter, but then I tried kalman and that worked the best, so I added it. Now it was still too noisy and unconsistent, so I revisited my knowledge of concepts and picked the one from the EMA, and it kinda solved it.
In the core of the indicator, all it does is combine them in a really simple way, but if you go more deeply you see how it fits the puzzlé really well.
It is not about trying out random things´=> but about seeking what it is missing and trying to lessen its bad side.
That is the entire point of this indicator => Offer a unique approach to the SuperTrend type, that lessen the bad sides of it.
I also added different plotting types, this is so everyone can find their favorite
Enjoy Gs!
Thanks @BackQuant for making a open source Kalman code <3
Adaptive MA SuperTrend 3.0The Adaptive MA SuperTrend 3.0 is a 3rd Generation of the SuperTrend indicator focused on improving accuracy while maintaining high speeds to capture ANY trend the market has to offer and allow investors/traders from beginner to advanced and beyond to gain a unique insight on what is happening with the markets.
How does it work?
The indicator uses a Moving Average as a base for the SuperTrend and adapts it to market environments.
It uses averages to find if short-term, medium-term or long-term have the highest avg. volume/ATR/Standard Deviation. Whichever period has the highest avg. is the length that will be used for the moving average.
Then it smooths it slightly to give a smoother result to finish the job.
That leaves us with high speed & accurate signals that adapt to any environment.
Enjoy!
RSI Bollinger Band and Trend Confidence Gauge█ RSI BB Trend Confidence Gauge (ADX/DMI)
Cross-checks Trend + Momentum + Strength in real time so you focus on VERIFIED conditions.
Most of us have been there: you see a move starting, you jump in, and the market immediately turns into a sideways chop-fest that eats your stop. This is a simple dashboard that forces the market to “prove itself” before you put capital at risk.
█ WHAT MAKES THIS DIFFERENT?
Most indicators are “Yes/No” machines — they fire signals anytime two lines cross, even when the market is weak, noisy, or range-bound. This script is a Quality Filter .
Instead of asking “Is price moving?”, it asks: “Is the move backed by alignment, momentum, and strength?”
VERIFIED only appears when all three agree, helping you avoid low-probability chop and “no-trade” consolidation zones.
█ QUICK START
• UP + VERIFIED + High ➔ “A-Tier” state; favor pullbacks or continuation.
• DOWN + VERIFIED + High ➔ bearish control is real; avoid dip-buying.
• Conflict (gray) ➔ indicators disagree; step aside and wait for alignment.
• R or B markers ➔ overextension warnings; don’t chase into extremes.
█ THE "ANTI-CHOP" ENGINE
Trading is probability, not guessing. This script uses a 3-stage logic gate to verify conditions:
• 1) The Trend (HMA 13/34): Hull Moving Averages provide a fast, smooth regime filter. If fast vs. slow isn’t clean, the regime isn’t ready.
• 2) The Fuel (RSI 50): A trend without momentum is a trap. UP/DOWN only prints when RSI confirms.
• 3) The Proof (ADX/DMI): Final gate. VERIFIED only appears when ADX ≥ 22 and DI+/DI- agrees . If strength isn’t there, stay sidelined.
█ VISUALS YOU'LL ACTUALLY USE
• Live Dashboard: Bottom-center snapshot of RSI, Direction (UP/DOWN/Conflict), VERIFIED status, and Confidence tier (Low/Med/High).
• Exhaustion Markers: Orange icons when price is extended: "R" for RSI extremes and "B" for Bollinger Band hits. These flag caution zones.
• Trend Ribbon: Zero-line bias bar: Lime (bullish), Red (bearish), Gray (conflict/chop risk).
█ SETTINGS
• Action ADX Minimum (default 22): Want stricter verification? Try 25. Want earlier signals? Try 20 (higher noise/risk).
Disclaimer: Educational tool only. Not financial advice. Past performance does not guarantee future results. Always use strict risk management.
GK ZeroLag BOSGK Zero-lag BOS is clean, non repainting institutional trend and structure indicator built specifically for precision entries. It combines Zero-lag EMA ZELMA with ATR volatility bands to define true trend direction, then confirms entries using break of structure BOS logic. signals only print once per trend eliminating noise, chop. KEY FEATURES Zero lag EMA trend detection length=70 ATR band volatility filter, BOS confirmation using recent structure highs/lows. one GK BUY / GK SELL per trend fully non repainting and bar close confirmed optimised for XAUUSD
Adaptive MA SuperTrend 2.0The Adaptive MA SuperTrend 2.0 is a new cutting edge SuperTrend that adapts to the environment and provides users with fast, smooth signals that can enhance the strategies of any user.
How does it work?
This indicator combines the classic ATR with Moving Average of users choice, and filters the data. It uses a condition, that flips the Moving Average between the past and current value, adapting and trying to enhance the accuracy of the indicator
End Of MooveINDICATOR: END OF MOOVE (EOM)
1. Overview
The EndOfMoove (EOM) is a specialized volatility analysis tool designed to detect market exhaustion and potential price reversals. By utilizing a modified Williams Vix Fix (WVF) logic, it identifies when fear or selling pressure has reached a statistical extreme relative to recent history.
---
2. Core Logic & Calculation
The script functions by measuring the "synthetic" volatility created during sharp price drops and momentum shifts.
* Williams Vix Fix (WVF) Logic: It calculates the distance between the current low and the highest close over a specific lookback period ( 20 bars by default ). This creates a volatility spike during market bottoms or rapid corrections.
* Dynamic Normalization: The indicator continuously tracks the Historical Maximum of this volatility over a long window ( 250 bars ).
* Statistical Thresholding: It sets a "Danger Zone" at a specific percentage ( 75% ) of that historical maximum to filter out noise and isolate significant exhaustion events.
---
3. Adaptive Intelligence (Detection & Smoothing)
The EOM adapts to different market conditions through its detection engine:
1. Spike Confirmation: To avoid premature entries, the script uses a confirmation window ( 3 bars ). A signal is only "confirmed" if the current volatility spike is the highest within this local window.
2. Variable Smoothing: Traders can apply an internal SMA smoothing to the raw volatility data to filter out erratic price action on lower timeframes.
---
4. Visual Anatomy
The interface uses a high-contrast design to highlight institutional exhaustion:
* The Histogram:
* Faded Gray: Represents standard market volatility. The transparency is dynamic ; it darkens as volatility rises, signaling a buildup in pressure.
* Bright White: Activates when the volatility crosses the Dynamic Threshold , marking a high-probability exhaustion zone.
* The Threshold Line: A continuous horizontal boundary that represents the 75% of historical max , acting as the "Trigger Line."
* Signal Triangles: A small white triangle appears at the top of the indicator when a Volatility Spike is statistically confirmed.
---
5. How to Trade with EndOfMoove
* Spotting Bottoms: Large white columns often coincide with "capitulation" phases. When the histogram reaches these levels, the current downward move is likely overextended.
* Divergence Watch: If price makes a new low but the EOM histogram shows a lower spike than the previous one, it indicates that selling pressure is drying up.
* Volatility Breakouts: A sudden transition from faded gray to bright white suggests an impulse move that is reaching its peak velocity.
---
6. Technical Parameters
* WVF Period: Controls the sensitivity of the raw volatility calculation.
* Historical Max Period: Determines the depth of the statistical database (50 to 500 bars).
* Threshold %: Allows the trader to tighten or loosen the "Extreme" zone (set to 75% for balanced results).
Adaptive MA SuperTrendAdaptive MA SuperTrend is a new trend following tool designed for more responsive & smoother signal production from the classical SuperTrend indicator.
It works by picking two Moving Averages, that are swapped in their function between being used for the upper base or the lower base, based on the circumstances.
Then it applies either SD or ATR (based on the users preference) to the bases.
This provides smooth, fast trend signals that users can use to enhance their trading/investing strategies.
Enjoy!
Apex ICT Delivery & Session Flow ProDescription
The Apex ICT Delivery & Session Flow Pro is a high-precision technical analysis indicator designed for inner-circle traders who prioritize a clean, institutional-grade chart. This script specializes in identifying real-time liquidity levels and displacement zones while utilizing an automated "Cleanup Engine" to ensure that only the most relevant, unmitigated data remains visible.
Core Functionalities
Multi-Timeframe Displacement Engine: The script scans across multiple timeframes (1m, 5m, 15m, 1H) to identify Fair Value Gaps (FVG) created by high-displacement price action. It automatically plots the FVG boxes and the 50% Consequent Encroachment (CE) line for precise entry and target mapping.
Dynamic Session Liquidity: Automatically identifies and tracks the Highs and Lows of the Asia, London, and New York sessions. These levels are explicitly labeled and extended to act as magnet levels for price or points of liquidity reversal.
CISD (Change in State of Delivery): Visualizes shifts in order flow by marking the opening prices of the last opposite candle when price action confirms a change in delivery state. This provides immediate visual feedback on market sentiment shifts.
NY-Specific VWAP: Features a strict New York Session VWAP that resets daily at the NY open (08:00). This serves as the "Mean" for the session, helping traders identify premium and discount zones specifically within the high-volume New York hours.
The "Clean Chart" Cleanup Engine: Unlike standard indicators that clutter the screen with historical data, this script features an intelligent removal system:
FVGs & Order Blocks: Automatically deleted once price trades through them or if they move too far from current price (Proximity Filter).
Broken Session Levels: Highs and Lows are instantly removed once they are breached by price.
Temporal Decay: CISD markers are automatically cleared after 20 candles to keep the focus on immediate delivery.
Stock School IRL & ERLThis indicator is designed to help traders clearly identify liquidity levels on the chart using IRL (Internal Range Liquidity) and ERL (External Range Liquidity).
Liquidity is where the market is attracted.
Price does not move randomly — it moves from one liquidity pool to another.
With this indicator, you can:
• Visually mark IRL (internal liquidity resting inside the range)
• Identify ERL (external liquidity above highs & below lows)
• Understand where Smart Money targets stops
• Anticipate liquidity sweeps, fake breakouts, and reversals
• Improve entries, exits, and trade patience
This tool helps you stop guessing and start reading market intent.
Best used with:
Price Action
Market Structure
Smart Money Concepts (SMC)
Works across:
Stocks • Indices • Forex • Crypto
⚠️ This indicator does not give buy/sell signals.
It provides context, so you trade with logic, not emotions.
If you understand liquidity,
you understand where the market is going next.
15-Minute Squeeze Scalper (Traffic Light Edition)Overview This is a highly optimized version of the famous Squeeze Momentum Indicator, customized specifically for 15-minute scalping .
While the original indicator is powerful, the default colors can be confusing for new traders. I have recoded this to function as a simple "Traffic Light" system to help you identify periods of inaction vs. periods of high-probability breakouts.
How it Works This tool identifies when the market is "quiet" (low volatility) and getting ready to explode. It uses Bollinger Bands and Keltner Channels to measure this energy.
The "Traffic Light" Visuals
🔴 RED Cross (Center Line): STOP / WAIT
Meaning: The Squeeze is ON. The market is coiling tight.
Action: Do not trade yet. Wait for the energy to release. The longer the line of red dots, the bigger the potential move.
🟢 GREEN Cross (Center Line): GO / ACTION
Meaning: The Squeeze has FIRED. Volatility is expanding.
Action: Look at the Histogram to determine the direction of the trade.
📊 Histogram Bars:
Lime/Green: Bullish Momentum (Trade Long).
Red/Maroon: Bearish Momentum (Trade Short).
The 15-Minute Scalping Strategy
Identify the Squeeze: Look for a series of Red Crosses on the zero line.
Wait for the Fire: Wait for the first Green Cross to appear.
Confirm Direction:
If the Cross turns Green AND the Histogram is above zero: LONG.
If the Cross turns Green AND the Histogram is below zero: SHORT.
Alerts Included I have added custom alerts so you don't have to stare at the screen:
"Squeeze Fired": Alerts you instantly when the Red Cross changes to Green.
"Momentum Long/Short": Alerts you when momentum flips direction.
Aurora Volatility Bands [JOAT]Aurora Volatility Bands - Dynamic ATR-Based Envelope System
Introduction and Purpose
Aurora Volatility Bands is an open-source overlay indicator that creates multi-layered volatility envelopes around price using ATR (Average True Range) calculations. The core problem this indicator solves is that static bands (like fixed percentage envelopes) fail to adapt to changing market conditions. During high volatility, static bands are too tight; during low volatility, they're too wide.
This indicator addresses that by using ATR-based dynamic bands that automatically expand during volatile periods and contract during quiet periods, providing contextually appropriate support/resistance levels at all times.
Why These Components Work Together
The indicator combines three analytical approaches:
1. Triple-Layer Band System - Inner (1x ATR), Outer (2x ATR), and Extreme (3x ATR) bands provide graduated levels of significance
2. Volatility State Detection - Compares current ATR to historical average to classify market regime
3. Multiple MA Types - Allows customization of the center line calculation method
These components complement each other:
The triple-layer system gives traders multiple reference points - inner bands for normal moves, outer for significant moves, extreme for rare events
Volatility state detection tells you WHEN bands are expanding or contracting, helping anticipate breakouts or mean-reversion
MA type selection lets you match the indicator to your trading style (faster EMA vs smoother SMA)
How the Calculation Works
The bands are calculated using ATR multiplied by configurable factors:
float atr = ta.atr(atrPeriod)
float innerUpper = centerMA + (atr * innerMult)
float outerUpper = centerMA + (atr * outerMult)
float extremeUpper = centerMA + (atr * extremeMult)
Volatility state is determined by comparing current ATR percentage to its historical average:
float atrPercent = (atr / close) * 100
float avgAtrPercent = ta.sma(atrPercent, volatilityLookback)
float volatilityRatio = atrPercent / avgAtrPercent
bool isExpanding = volatilityRatio > 1.2 // 20%+ above average
bool isContracting = volatilityRatio < 0.8 // 20%+ below average
Signal Types
Band Touch - Price reaches inner, outer, or extreme bands
Mean Reversion - Price returns to center after touching outer/extreme bands
Breakout - Sustained move beyond outer bands during volatility expansion
Dashboard Information
Volatility - Current state (EXPANDING/CONTRACTING/NORMAL)
Vol Ratio - Current volatility vs average (e.g., 1.5x = 50% above average)
ATR - Current ATR value
ATR % - ATR as percentage of price
Zone - Current price position (EXTREME HIGH/UPPER ZONE/CENTER ZONE/etc.)
Position - Price position as percentage within band structure
Width - Total band width as percentage of price
Using SMA in settings:
How to Use This Indicator
For Mean-Reversion Trading:
1. Wait for price to touch outer or extreme bands
2. Check that volatility state is NORMAL or CONTRACTING (not expanding)
3. Look for reversal candlestick patterns at the band
4. Enter toward center MA with stop beyond the band
For Breakout Trading:
1. Wait for volatility state to show EXPANDING
2. Look for price closing beyond outer bands
3. Enter in direction of breakout
4. Use the band as trailing stop reference
For Volatility Analysis:
1. Monitor volatility ratio for regime changes
2. CONTRACTING often precedes large moves (squeeze)
3. EXPANDING confirms trend strength
Using VWMA and Mean Reversion Signal/MR:
Input Parameters
ATR Period (14) - Period for ATR calculation
Inner/Outer/Extreme Multipliers (1.0/2.0/3.0) - Band distance from center
MA Type (EMA) - Center line calculation method
MA Period (20) - Period for center line
Volatility Comparison Period (20) - Lookback for volatility state
Timeframe Recommendations
15m-1H: Good for intraday mean-reversion
4H-Daily: Best for swing trading and breakout identification
Weekly: Useful for position trading and major level identification
Limitations
ATR-based bands lag during sudden volatility spikes
Mean-reversion signals can fail in strong trends
Breakout signals may whipsaw in ranging markets
Works best on liquid instruments with consistent volatility patterns
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works.
This indicator does not constitute financial advice. Band touches do not guarantee reversals. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses.
- Made with passion by officialjackofalltrades
MMM Fear & Greed Meter - Multi-Asset @MaxMaseratiMMM Fear & Greed Meter - Multi-Asset Edition
Professional Sentiment Analysis for Futures, Stocks, and Crypto
The MMM Fear & Greed Meter is an advanced market sentiment indicator that transforms CNN's Fear & Greed methodology into an actionable trading tool. Unlike generic sentiment gauges, this indicator provides specific trading recommendations with position sizing guidance and institutional context - turning vague market mood readings into clear trading decisions.
🎯 Three Optimized Market Modes
FUTURES (ES/NQ) MODE - Default configuration weighted for index futures trading
VIX: 20% (highest weight - volatility drives futures)
Put/Call Ratio: 18% (institutional hedging behavior)
Safe Haven Demand: 18% (risk-on/risk-off capital flows)
Ideal for: ES1!, NQ1! futures traders, London Open preparation, intraday bias
STOCKS (EQUITIES) MODE - Optimized for stock picking and swing trading
52-Week High/Low: 20% (market breadth matters most)
Volume Breadth: 18% (sector rotation and participation)
SPX Momentum: 18% (trend confirmation)
Ideal for: Individual stocks, ETFs, portfolio management
CRYPTO (BTC/ETH) MODE - Calibrated for cryptocurrency's correlation to equity sentiment
Safe Haven: 25% (crypto moves inverse to risk-off)
SPX Momentum: 20% (crypto follows tech/equities)
VIX: 20% (crypto crashes when volatility spikes)
Ideal for: Bitcoin, Ethereum, major altcoins
CUSTOM MODE - Manually adjust all seven component weights to your preference
🔥 What Makes This Unique?
1. ACTIONABLE INTELLIGENCE
Not just a number - get specific recommendations:
"★ PRIORITIZE LONGS @ Key Support - Size up 1.5x"
"FAVOR SHORTS @ Resistance - Watch Distribution"
"TRADE YOUR EDGE - No Sentiment Bias"
2. INSTITUTIONAL FRAMING
Understand WHY the market feels this way:
"Institutions defending levels aggressively"
"Retail chasing, institutions distributing"
"Market stretched and vulnerable - violent turn coming"
3. POSITION SIZING GUIDANCE
Know HOW MUCH to risk:
Extreme zones (0-24, 76-100) + order flow confirmation = 1.5x size
Normal zones = standard position sizing
Neutral zone (45-55) = no sentiment edge, pure price action
4. DIRECTION-BASED COLOR CODING
Green action column = Bullish recommendations
Red action column = Bearish recommendations
Gray action column = No directional bias
5. GRANULAR DISPLAY CONTROLS
Configure exactly what you need:
Show/hide index display section
Show/hide component breakdown
Show/hide live action column
Show/hide decision matrix
27 possible layout combinations
📈 Seven Market Components
Based on CNN Fear & Greed methodology with market-specific weighting:
Market Momentum - S&P 500 vs 125-day moving average
Stock Price Strength - 52-week highs vs lows (NYSE breadth)
Stock Price Breadth - Advancing vs declining volume
Put/Call Options - Options market sentiment (calculated proxy)
Market Volatility (VIX) - CBOE Volatility Index
Safe Haven Demand - Stocks vs bonds 20-day performance
Junk Bond Demand - High yield vs investment grade spread
All components normalized to 0-100 scale, weighted by market relevance, combined into single sentiment index.
🎨 Trading Decision Matrix
EXTREME FEAR (0-24) + Bullish Order Flow @ Support
→ ★ PRIORITIZE LONGS | Size up 1.5x | Strong bounce expected
FEAR (25-44) + Bullish Order Flow @ Support
→ FAVOR LONGS | Normal size | Good reversal context
NEUTRAL (45-55) + Any Setup
→ TRADE YOUR EDGE | Standard approach | No macro bias
GREED (56-75) + Bearish Order Flow @ Resistance
→ FAVOR SHORTS | Watch distribution | Fake breakouts likely
EXTREME GREED (76-100) + Bearish Order Flow @ Resistance
→ ★ AGGRESSIVE SHORTS | Size up 1.5x | Rapid reversals expected
💡 How To Use
Daily Workflow (Recommended):
Check indicator once per morning (pre-session)
Note the sentiment zone and action recommendation
Apply bias filter to your technical setups throughout the day
Size up positions at extremes when order flow confirms
For Futures Traders:
Use bar close mode (default) for stable daily bias
However, try and test live candle option , it might give you early insights
Check before London Open (6:00 AM ET)
Combine with order flow analysis (Body Close, sweeps, institutional levels)
For Stock Traders:
Use for sector rotation decisions
Extreme Fear = buy quality at your edge support level
Extreme Greed = trim positions, raise cash
For Crypto Traders:
Crypto mode captures equity risk sentiment spillover
VIX spikes = crypto dumps (size shorts)
Safe haven demand = BTC correlation tracking
🔧 Technical Details
Data Sources: Universal TradingView symbols (SP:SPX, TVC:VIX, TVC:US10Y, AMEX:HYG, AMEX:LQD, INDEX breadth data with fallback proxies)
Calculation: Seven components normalized over 252-day period, weighted by market mode, combined into 0-100 composite index
Accuracy: 85-90% zone correlation to CNN Fear & Greed Index (zones matter more than exact numbers for trading bias)
Update Frequency: User-controlled - bar close (stable) or live (real-time)
Compatibility: Works on any chart timeframe (recommend daily for bias context)
🎓 Best Practices
DO:
Use as bias filter for your existing strategy
Check once per session for daily context
Size up at extremes with order flow confirmation
Pay attention to ZONES (Extreme Fear/Greed) not exact numbers
Combine with technical analysis and price action
DON'T:
Use as standalone entry/exit signals
Overtrade or force setups when neutral
Ignore price action because sentiment contradicts
Check constantly (designed for daily bias, not tick-by-tick)
Expect exact CNN number match (focus on zones)
🏆 Who Is This For?
Futures Traders - ES/NQ intraday traders needing daily bias context
Stock Traders - Equity swing traders and stock pickers
Crypto Traders - BTC/ETH traders following equity risk sentiment
Position Traders - Anyone wanting institutional sentiment context
Systematic Traders - Adding sentiment filter to mechanical systems
📚 Based On CNN Fear & Greed Methodology
This indicator builds upon CNN Business's proven Fear & Greed Index framework, enhancing it with:
Market-specific component weighting (Futures/Stocks/Crypto)
Actionable trading recommendations with position sizing
Institutional market context and framing
Flexible display options for different trading workflows
Universal data compatibility for all TradingView users
Atilla Bollinger Squeeze EMA Intelligence PanelIndicator Description (English)
Atilla – Bollinger Squeeze + EMA Intelligence Panel is a trend-following and breakout-detection indicator designed to help traders avoid fake signals and emotional overtrading.
This indicator combines Bollinger Band Squeeze logic, EMA structure analysis, and trend intelligence filters to identify:
Low-volatility squeeze zones
Real trend expansions
EMA-based continuation vs. fake reversals
🔍 Core Features
Bollinger Band Squeeze Detection
Identifies extreme volatility compression
Highlights potential breakout zones
Differentiates between tight squeeze and normal consolidation
EMA Intelligence System
EMA slope and stretch analysis
Detects when EMA is trending, flat, or overstretched
Helps filter false EMA cross signals
Trend Context Awareness
Designed to work with trend-following strategies
Avoids signals during choppy, sideways markets
Supports EMA-based systems (9–21, 8–13, 21–50, etc.)
Noise Reduction
Prevents entering trades during low-quality market conditions
Focuses on momentum-backed moves only
🎯 Who Is This Indicator For?
Trend traders
EMA crossover traders
Breakout traders
Traders who want to avoid fake moves and stop hunts
Traders who prefer confirmation over prediction
⚠️ Important Notes
This indicator is not a buy/sell signal generator
Best used as a confirmation and filtering tool
Works especially well on 15m, 30m, and 1H timeframes
Always use proper risk management
🧠 Trading Philosophy
“The goal is not to trade more,
but to trade only when the market is ready.”
If you want, I can also:
write a shorter minimalist description
add a professional disclaimer
optimize wording for TradingView Popular Scripts
Apex ICT: Proximity & Delivery FlowSimple Description: This indicator is a specialized ICT execution tool that automates the identification of Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD). Unlike standard indicators that clutter the screen, this script uses a Proximity Logic Engine to ensure you only see tradeable levels. It automatically purges old data (50-candle CISD limit) and deletes mitigated zones the moment they are breached, leaving you with a clean, institutional-grade chart.
