SNP420_Five_to_Five_INDIFor consistent 9-5 traders.
Use for your traidingroutine.
Change colours and time for your strategy.
Peace and love! SNP420
Ciclos
Z-Fusion Oscillator | Lyro RSThe Z-Fusion Oscillator converts five momentum indicators into Z-scores and blends them into one normalized signal that adapts across markets.
By combining normalization, smoothing, and divergence detection, users can easily identify when momentum is accelerating, weakening, reversing, or entering extreme zones
🔶 USAGE
The Z-Fusion Oscillator is designed to give traders a unified reading of market momentum—removing the noise of comparing tools that normally run on different scales.
By transforming RSI, MACD histogram, Stochastic, Momentum, and Rate of Change into Z-scores, this tool standardizes all inputs, making trend strength and shifts easier to interpret.
A dual-line system (fast Z-fusion line + slower baseline) highlights turning points, while overbought/oversold bands and “X-marks” help traders spot exhaustion and potential reversals.
🔹 Unified Momentum Structure
The indicator’s core strength comes from combining five Z-scored signals into one average.
Which makes momentum behavior more consistent across assets, reduces false extremes, and highlights true shifts in trend conviction.
🔹 Divergence Detection
The tool includes fully integrated divergence detection:
Regular Bullish Divergence: Price makes a lower low while Z-Fusion forms a higher low.
Regular Bearish Divergence: Price makes a higher high while Z-Fusion forms a lower high
Bullish and bearish divergences are marked directly on the oscillator with labels and colored pivot connections, making hidden momentum shifts obvious.
🔹 Visual Extremes
Two sets of upper and lower Z-score thresholds help identify:
Extreme overbought surges
Extreme oversold drops
Reversal zones
Potential exhaustion conditions
Background coloring reinforces when the oscillator moves beyond major levels, helping traders quickly assess momentum pressure.
🔹 Detecting Momentum Anomalies
Z-scores allow the oscillator to highlight when market momentum behaves abnormally relative to its own recent history.
For example:
The oscillator reaching +1 or –1 after an extended trend may indicate a climax.
A sharp Z-score reversal within an extreme zone can signal a trend exhaustion or a corrective move.
Divergences often appear earlier due to normalization smoothing out indicator noise.
This makes the Z-Fusion Oscillator particularly useful for spotting subtle shifts in trend direction that traditional indicators may miss.
🔶 DETAILS
🔹 Composite Z-Score Framework
Each momentum tool is smoothed, normalized, and transformed:
RSI → EMA-smoothed, Z-scored
MACD histogram → Z-scored
Stochastic → EMA + SMA smoothing, then Z-scored
Momentum → EMA-smoothed, Z-scored
Rate of Change → EMA-smoothed, Z-scored
These are averaged into one composite Z-score to provide a consistent reading across assets and market conditions.
🔹 Fusion Trend Lines
Two lines serve as the core signal:
Fast Line (savg) – reacts quicker to trend changes
Slow Line (savg2) – acts as a baseline filter
Crossovers between these lines highlight momentum shifts, while their color reflects trend bias.
🔹 Overbought/Oversold Zones
Two upper and two lower Z-score thresholds define “zones”:
Upper zones highlight overheated momentum or potential bearish reversals
Lower zones highlight depressed momentum or potential bullish reversals
Filled regions and background colors help visually confirm extreme conditions.
🔹 Pivot-Based Divergence Engine
The script includes filtered pivot detection with customizable look-backs and range limits to ensure divergences are meaningful, not noise-driven.
🔶 SETTINGS
🔹 Indicator Settings
Source — Price series used for all calculations.
Z-Score Length — Lookback period for Z-score normalization.
Z-Score MA Length — Smoothing length for the fusion signal lines.
Overbought/Oversold Levels — Four customizable threshold lines.
Color Palette — Choose from preset themes or define custom colors.
🔹 RSI
Length — RSI calculation period.
EMA Smoothing Length — Smooths RSI before Z-score conversion.
🔹 MACD
Fast Length — Fast EMA length.
Slow Length — Slow EMA length.
Signal Line Length — MACD signal smoothing.
🔹 Stochastic
%K Length — Main stochastic length.
EMA Smoothing — Smooths %K for stability.
%D Length — Smoothing for the signal line.
🔹 Momentum
Length — Momentum lookback.
EMA Smoothing — Smooths momentum before Z-scoring.
🔹 Rate of Change
Length — ROC lookback.
EMA Smoothing — Smooths ROC values.
🔹 Divergence
Enable/Disable Divergence Detection — Toggle divergence engine.
Pivot Left/Right Lookback — Defines pivot detection sensitivity.
Detection Range Limits — Controls allowable range for divergence.
Bull/Bear Colors & Styling — Customize divergence visualization.
🔶 SUMMARY
The Z-Fusion Oscillator combines multiple momentum signatures into a single normalized signal, enabling traders to:
Identify reversals early
Detect momentum exhaustion
Spot bullish and bearish divergences
Track overbought/oversold conditions
Visualize trend strength with clarity
Whether you're a swing trader, intraday analyst, or trend-reversal hunter, the Z-Fusion Oscillator provides a powerful and adaptive way to read momentum.
BTC Halving Cycle SignalsBTC Halving Cycle Signals
What signals does this script give in real history (2011-2025):
2015 → BUY (bear market bottom)
2019 → BUY (post-2018 bottom)
October 2020 → BUY
November 2023 → BUY
And right now (Nov 2025) → green bottom + price above weekly EMA200 → about to give a buy signal if it breaks $72k strongly.
BUY signal: ~500 days pre-halving + price > weekly EMA200 + monthly RSI <60 (accumulation).
SELL signal: ~1064 days post-halving + RSI >75 or close < SuperTrend (distribution).
Hardcoded halving dates (can be edited). Works on BTCUSD weekly/monthly, gives 1-2 signals per cycle.
Valdex - Squeeze Momentum Indicator [MTF]📝 TradingView Publication Description (English)
SQM-MTF: Multi-Timeframe Squeeze Momentum Indicator (v6)
This is a powerful, multi-timeframe (MTF) version of the renowned Squeeze Momentum Indicator originally developed by LazyBear, completely updated for Pine Script v6.
This version allows traders to calculate the momentum and the Teeza Squeeze status from a higher or lower timeframe than the one currently displayed on the chart, providing superior context for entries and exits.
🚀 Key Features
Multi-Timeframe (MTF) Functionality: Use the "Timeframe del Indicador" setting to select a resolution (e.g., "60" for 1-hour or "240" for 4-hour) independent of your chart's resolution.
Momentum Area Plot: The default style is set to Area for better visual continuity, instead of the traditional histogram columns.
Original Color Logic: Uses the original four-color scheme to clearly identify momentum status and acceleration/deceleration:
Bright Green/Lime: Positive Momentum, Accelerating
Dark Green: Positive Momentum, Decelerating
Bright Red: Negative Momentum, Accelerating
Dark Red/Maroon: Negative Momentum, Decelerating
Optimized for V6: Code fully updated to Pine Script v6 syntax, including optimized request.security usage.
💡 How to Use
This indicator is typically used to identify periods of low volatility (the Squeeze) that signal a potential explosive move is imminent.
Use the MTF feature to:
Find the Squeeze: Check a higher timeframe (e.g., 4H) for the Squeeze status while executing trades on a lower timeframe (e.g., 1H or 15m).
Confirm Entry: Wait for the momentum bars to cross the zero line in the desired direction on the MTF indicator, confirming the start of the trend.
📋 Notas de Publicación (Para ti)
Cuando publiques, asegúrate de añadir las siguientes etiquetas (tags) para que sea fácil de encontrar:
Tags Sugeridas: SQUEEZE, MOMENTUM, MTF, MULTITIMEFRAME, SQUEEZEMOMENTUM, LAZYBEAR, VOLATILITY, PINEV6.
Source Code (Código Fuente): Siempre incluye el código Pine Script en la parte inferior de tu descripción en TradingView.
Nexural TransformNexural Transform: Fisher + CVD Order Flow Indicator
What This Indicator Does
Nexural Transform combines a Fisher Transform with Cumulative Volume Delta (CVD) analysis to help identify potential turning points and measure buying/selling pressure beneath price action. Instead of just showing you what price is doing, it attempts to show you what's happening in the order flow - who's in control and whether momentum is building or fading.
The indicator analyzes intrabar volume to separate buying from selling pressure, then integrates this with Fisher Transform momentum calculations to generate signals that consider both price extremes and volume conviction.
Key Features
Core Mechanics:
Fisher Transform with CVD momentum weighting
Intrabar volume analysis for true buying/selling pressure
Adaptive length based on market volatility
Volume-weighted price calculations
Dynamic sigma bands that adjust to current market conditions
Order Flow Detection (always active):
Absorption zones - large volume with minimal price movement
Iceberg orders - hidden liquidity reveals itself
Liquidity sweeps - stop hunts that fail to follow through
Failed auctions - breakouts without volume support
Exhaustion scoring - when moves run out of steam
Smart money tracking - large lot activity
Stacked imbalances - consecutive directional pressure
Additional Tools:
Instant divergence detection (real-time price vs. CVD mismatches)
Traditional divergence signals
Session-based filtering (RTH vs. overnight)
Confidence scoring for signals
Customizable statistics box with three detail levels
How to Use It
Understanding the Display:
The main line oscillates around zero with dynamic sigma bands (1 sigma, 2 sigma, 3 sigma)
Green zones = oversold conditions with buying pressure
Red zones = overbought conditions with selling pressure
The gray signal line shows the previous bar's value
Optional CVD overlay shows cumulative volume delta scaled to fit
Signal Types:
Elite Signals (confidence greater than 100%) - Rare, highest conviction setups
High Confidence Signals (confidence greater than 70%) - Strong probabilistic edge
Standard crossovers - Fisher crosses signal line at extremes
Divergences - Price makes new highs/lows but CVD disagrees
Best Practices:
Use on liquid instruments (ES, NQ, major stocks with good volume)
Works best on 5min-1hr timeframes for intraday trading
Pay attention during key session times (open, 10:30-11:00, close)
Watch the statistics box for exhaustion, streak counts, and order flow activity
Don't trade signals in isolation - confirm with price action and structure
Reduce position size or avoid trading during lunch session (12:00-13:30 EST)
Interpreting Order Flow:
"ABS" in stats = absorption happening (potential reversal zone)
"ICE" = iceberg orders detected (hidden liquidity)
"LIQ" = liquidity sweep (stop hunt - look for reversal)
"TRAP" = failed auction (breakout likely to fail)
High exhaustion scores (greater than 50) = move losing momentum
Honest Pros & Cons
What This Indicator Does Well:
Provides multi-dimensional view of market structure
Catches divergences between price and underlying order flow
Adapts to changing volatility conditions
Offers clear confidence levels - you know when signals are stronger
Works across multiple trading styles (scalping to swing)
Session awareness helps avoid low-probability times
Statistics box gives you real-time market context
Limitations to Understand:
Steep learning curve - order flow concepts take time to grasp
Not a holy grail - no indicator is; you still need proper risk management
Can be noisy in choppy/low volume conditions - like most oscillators
Requires liquid markets - won't work well on illiquid stocks or crypto with thin order books
Lagging component - Fisher Transform is smoothed, so it's not predictive
Works best with context - needs support/resistance, trend analysis, etc.
Information dense - the statistics box can overwhelm beginners
Who This Is For
Good fit if you:
Trade futures (especially ES/NQ) or high-volume stocks
Want to understand order flow beyond just price candles
Use multiple timeframe analysis
Are comfortable with technical concepts
Want confluence factors for your existing strategy
Trade during active market sessions
Probably not for you if:
You're brand new to trading (start simpler)
You trade low-volume instruments
You want a "buy here, sell there" magic system
You don't want to learn order flow concepts
You're looking for a fully automated strategy
Configuration Tips
The indicator comes pre-configured with tested defaults, but you can customize:
Fisher Length (10) - Lower = more sensitive, higher = smoother
CVD Weight (0.3) - How much volume influences the oscillator
Dynamic Bands - Keep ON for adaptive levels that adjust to volatility
Session Filters - Keep ON to reduce overnight noise
Stats Detail Level - Start with "Compact", move to "Order Flow" as you learn
Final Thoughts
This isn't a signal-spamming indicator that paints arrows all over your chart. It's a tool for understanding market structure through the lens of volume and momentum. The best trades happen when multiple factors align - Fisher at extremes, CVD confirming, order flow showing institutional activity, and price respecting key levels.
Treat it as one piece of your trading puzzle, not the whole picture. Use it to confirm what you're seeing in price action, not to replace proper chart reading and risk management.
Test it thoroughly on a demo account. Learn what the order flow signals mean. Understand when it works best and when to ignore it. No indicator works in all market conditions, and this one is no exception.
Questions? Found a bug? Have suggestions?
Drop a comment below. I actively maintain this indicator and appreciate genuine feedback from traders actually using it in the markets.
Remember: Past performance doesn't guarantee future results. Always use proper position sizing and risk management.
SLefebvre - DT Calculator V1DT Calculator
Entry position simulator
Give you % Run from Opem
Give the retracement % from HOD
Help to take position on a short trade with this pattern
YCGH Mean Reversion StrategyThis strategy applies a classic mean-reversion framework inspired by the concepts popularized by Ernest P. Chan in his quantitative trading books.
It uses Bollinger Bands and RSI to identify statistically stretched conditions where price has moved too far from its average. When price dips below the lower band with weakening momentum, the strategy accumulates small long positions, expecting reversion toward the mean. As price rebounds above the upper band, it exits positions gradually. Position sizing limits help control risk and avoid excessive exposure.
Special thanks to Ernest P. Chan for his influential work in quantitative trading, which motivated the structure and logic behind this model.
BTC Energy + HR + Longs + M2
BTC Energy Ratio + Hashrate + Longs + M2
The #1 Bitcoin Macro Weapon on TradingView 🚀🔥
If you’re tired of getting chopped by fakeouts, ETF noise, and Twitter hopium — this is the one chart that finally puts you on the right side of every major move.
What you’re looking at:
Orange line → Bitcoin priced in real-world mining energy (Oil × Gas + Uranium × Coal) × 1000
→ The true fundamental floor of BTC
Blue line → Scaled hashrate trend (miner strength & capex lag)
Green line → Bitfinex longs EMA (leveraged bull sentiment)
Purple line → Global M2 money supply (US+EU+CN+JP) with 10-week lead (the liquidity wave BTC rides)
Why this indicator prints money:
Most tools react to price.
This one predicts where price is going based on energy, miners, leverage, and liquidity — the only four things that actually drive Bitcoin long-term.
It has nailed:
2022 bottom at ~924 📉
2024 breakout above 12,336 🚀
2025 top at 17,280 🏔️
And right now it’s flashing generational accumulation at ~11,500 (Nov 2025)
13 permanent levels with right-side labels — no guessing what anything means:
20,000 → 2021 Bull ATH
17,280 → 2025 ATH
15,000 → 2024 High Resist
14,000 → Overvalued Zone
13,000 → 2024 Breakout
12,336 → Bull/Bear Line (the most important level)
12,000 → 2024 Volume POC
10,930 → Key Support 2024
9,800 → Strong Buy Fib
8,000 → Deep Support 2023
6,000 → 2021 Mid-Cycle
4,500 → 2023 Accum Low
924 → 2022 Bear Low
Live dashboard tells you exactly what to do — no thinking required:
Current ratio (updates live)
Hashrate + 24H %
Longs trend
Risk Mode → Orange vs Hashrate (RISK ON / RISK OFF)
180-day correlation
RSI
13-tier Zone + SIGNAL (STRONG BUY / ACCUMULATE / HOLD / DISTRIBUTE / EXTREME SELL)
Dead-simple rules that actually work:
Weekly timeframe = cleanest view
Blue peaking + orange holding support → miner pain = next leg up
Green spiking + orange failing → overcrowded longs = trim
Purple rising → liquidity coming in = ride the wave
Risk Mode = RISK OFF → price is cheap vs miners → buy
Set these 3 alerts and walk away:
Ratio > 12,336 → Bull confirmed → add
Ratio > 14,000 → Start scaling out
Ratio < 9,800 → Generational buy → back up the truck
No repainting • Fully open-source • Forced daily data • Works on any TF
Energy is the only real backing Bitcoin has.
Hashrate lag is the best leading indicator.
Longs show greed.
M2 is the tide.
This chart combines all four — and right now it’s screaming ACCUMULATE.
Load it. Trust it.
Stop trading hope. Start trading reality.
DYOR • NFA • For entertainment purposes only 😎
#bitcoin #macro #energy #hashrate #m2 #cycle #riskon #riskoff
Quant RSIQuant RSI MTF - Professional Multi-Timeframe RSI Analysis
A sophisticated RSI indicator built for serious traders who need more than basic overbought and oversold levels. This tool combines advanced filtering techniques with multi-timeframe analysis to give you a clearer picture of momentum across different time horizons.
What Makes This Different
Most RSI indicators use simple moving averages that lag behind price action. This version uses Laguerre filtering, which is a mathematical technique that reduces lag while maintaining smooth signals. The result is an RSI that responds faster to genuine momentum shifts without getting whipped around by noise.
The system monitors five different timeframes simultaneously, checking whether momentum is aligned or diverging across short-term, medium-term, and long-term perspectives. When all timeframes agree on direction, you have significantly higher probability setups. When they disagree, you know to be cautious.
Core Features
The indicator calculates three separate RSI values using different lookback periods - short, medium, and long term. Each one serves a specific purpose. The short-term catches quick reversals, the medium-term identifies swing trading opportunities, and the long-term keeps you aware of the bigger trend.
Dynamic threshold adjustment is built in based on ATR volatility measurements. During high volatility periods, the overbought and oversold levels automatically expand because extreme readings become more common. During low volatility, the thresholds tighten up. This prevents you from getting false signals just because market conditions changed.
Volume confirmation is integrated into every signal. The system analyzes volume delta to determine whether price movements are supported by actual buying or selling pressure. A divergence between RSI and volume often signals weak momentum that is likely to reverse.
Advanced divergence detection goes beyond basic hidden and regular divergences. The system calculates divergence strength as a percentage, so you know which setups have the most potential. A weak divergence barely worth noting gets scored low, while a major divergence with significant price-RSI separation scores high.
Signal Intelligence
Every potential signal gets assigned a confidence score from 0 to 100. This score factors in trend strength, momentum, volume confirmation, divergence presence, ADX readings, and timeframe alignment. A score above 70 means all the pieces are in place. Below 40 means something important is missing.
The indicator calculates ADX automatically to measure trend strength. Even if RSI shows oversold conditions, a weak ADX reading suggests the market is ranging and mean reversion might not work. Strong ADX with extreme RSI readings often produces the best setups.
Market condition classification tells you whether you are in a strong bull trend, bear trend, pullback, sideways chop, or volatility expansion phase. Each condition requires different trading approaches, and the indicator adapts its signals accordingly.
Volatility Analysis
Real-time volatility state monitoring shows you whether volatility is exploding, expanding, stable, or contracting. Contracting volatility often precedes big moves. Exploding volatility suggests you should reduce position size or stay out entirely.
The system compares current volatility to historical levels using percentile rankings. If current ATR is in the 90th percentile, you know volatility is unusually high even if you have not traded this asset before.
Volume profile approximation analyzes where volume is accumulating at different price levels. While not as detailed as true market profile software, it gives you insight into support and resistance zones based on actual trading activity.
What This Indicator Does Well
The Laguerre filtering genuinely reduces lag compared to standard RSI. You will notice signals forming 1-3 bars earlier than traditional RSI implementations, which can make a significant difference in fast-moving markets.
Multi-timeframe confluence is calculated automatically instead of forcing you to manually switch between charts. When all five timeframes align, the visual confirmation is immediate and the probability of success increases dramatically.
Dynamic threshold adjustment based on volatility is something most RSI indicators lack entirely. This prevents you from taking low-probability trades just because RSI hit 30 or 70 during unusual market conditions.
Volume integration with every signal helps filter out weak setups. RSI might show oversold, but if volume delta is negative and selling pressure continues, the indicator knows not to generate a buy signal.
Divergence strength calculation goes beyond just marking divergences with arrows. Knowing that a divergence has 75% strength versus 20% strength completely changes how you should trade it.
The ADX integration prevents you from trying to trade reversals in ranging markets where mean reversion strategies fail. ADX below 20 with extreme RSI readings typically results in continued chop rather than reversals.
What This Indicator Does Not Do Well
The multi-timeframe data requests can cause slight delays on lower-end computers or slow internet connections. If you are running multiple indicators simultaneously, you might notice brief calculation lags.
Divergence detection requires at least 10-15 bars of history to identify pivot points accurately. On brand new charts or immediately after timeframe changes, divergence signals may be absent for several bars.
The Laguerre filtering, while reducing lag, can occasionally produce false signals during extreme volatility spikes like news releases or market opens. The smoothing cannot completely eliminate noise during truly chaotic conditions.
Dynamic thresholds work well most of the time but can occasionally adapt too slowly during rapid volatility regime changes. If ATR suddenly doubles, it might take 5-10 bars for the thresholds to fully adjust.
The indicator uses significant processing power with five timeframe requests plus all the calculations for volatility, volume analysis, divergences, and signal scoring. On very low timeframes like 1-second or tick charts, this could cause performance issues.
There is no built-in backtesting functionality. You can see historical signals on the chart, but you cannot generate statistical performance reports without exporting data and analyzing it separately.
Best Use Cases
This indicator excels for scalpers and day traders who need fast, reliable RSI signals with proper context. The reduced lag from Laguerre filtering combined with volume confirmation catches reversals quickly enough to matter on 1-5 minute charts.
Swing traders benefit from the multi-timeframe alignment feature. Before entering a multi-day position, you can verify that momentum is aligned across your entry timeframe, swing timeframe, and position timeframe. This significantly improves win rates.
Range traders can use the dynamic thresholds and volatility analysis to identify when markets are coiling up for breakout moves. Contracting volatility with neutral RSI readings often precedes the best trending moves.
The divergence detection with strength calculations makes this valuable for reversal traders. Instead of taking every divergence, you can filter for only high-strength divergences above 60% for better risk-reward setups.
What This Is Not
This is not a standalone trading system. It provides momentum analysis and signal quality scoring, but you still need proper risk management, position sizing, and confluence with price action or other technical factors.
This is not a high-frequency trading tool. While the Laguerre filtering reduces lag, it is not designed for sub-second timeframes or algorithmic trading where microseconds matter.
This is not a volatility prediction system. It measures current and recent volatility states, but it cannot forecast whether volatility will expand or contract in the future beyond basic statistical tendencies.
This is not a replacement for understanding market structure. RSI divergences and extreme readings mean different things at major support and resistance versus in the middle of nowhere. You need context.
Technical Details Worth Knowing
The Laguerre filter uses a gamma parameter that you can adjust. Higher gamma values (0.8-0.9) produce smoother lines with more lag. Lower values (0.5-0.6) respond faster but with more noise. The default of 0.7 balances both reasonably well.
The three RSI lengths serve different purposes. The 5-period catches very short-term momentum for scalping. The 14-period is standard for swing trading. The 21-period keeps you aligned with longer-term trends. You can adjust these based on your trading timeframe.
ATR normalization divides current ATR by a 50-period moving average of ATR. This creates a volatility factor that adjusts thresholds dynamically. When volatility doubles, overbought might move from 70 to 85 automatically.
Volume delta is calculated as volume times the percentage where price closed within the bar's range. An up-close at the high gets full positive delta. A down-close at the low gets full negative delta. This approximates buying and selling pressure without tick data.
Signal strength scoring uses weighted factors. Trend direction gets 30% weight, momentum gets 20%, volume confirmation 15%, divergence presence 15%, ADX strength 10%, and timeframe alignment 10%. This creates a 0-100 composite score.
ADX calculation uses the standard Wilder smoothing method with directional movement indicators. The trend classification shows whether bulls or bears have control, while the strength rating (weak, moderate, strong, extreme) tells you how much conviction is behind the move.
Final Assessment
This is a well-designed RSI indicator that adds genuine value beyond what basic RSI provides. The Laguerre filtering works as advertised for lag reduction. The multi-timeframe analysis saves time and provides clarity. The dynamic thresholds adapt intelligently to changing volatility.
The signal scoring system is particularly useful because it prevents you from chasing low-quality setups. A 35% confidence score tells you immediately that something is wrong with the trade even if RSI looks tempting.
However, this is definitely not a beginner indicator. There are a lot of moving parts and the learning curve is real. You need to understand RSI basics, divergences, volume analysis, and volatility regimes to use this effectively. Someone new to trading would be overwhelmed.
For experienced traders who already understand momentum indicators and want more sophisticated analysis, this is legitimately valuable. The combination of features is not commonly found in free indicators, and the implementation quality is solid.
The main limitation is that it is still just an RSI indicator at its core. No amount of filtering, multi-timeframe analysis, or scoring can overcome the fundamental limitations of oscillator-based trading. You need confluence with price action, support and resistance, and proper market context.
If you trade primarily based on momentum and reversals, this indicator provides most of what you would need in one package. If you are a pure price action trader or trend follower, this probably would not change your approach significantly.
Overall, this is a 7.5 out of 10 indicator. It does what it claims to do well, adds meaningful improvements over basic RSI, and provides useful analysis tools. It is not revolutionary, but it is a solid professional-grade tool for the right type of trader.
111 Robin Levels [StoneFace - Testing]111 Robin Levels
Overview The 111 Robin Levels indicator is a precision trading tool designed to plot dynamic Fibonacci extension and retracement levels based on key trading session ranges. It automatically detects specific time windows (Asia, London, and key hourly candles) and projects significant reaction levels used in the "Robin" trading methodology.
Key Features
Multi-Session Support: Easily toggle between key trading windows:
Asia Session (20:00 - 00:00 NY)
London Session (02:30 - 04:00 NY)
3 AM Candle (03:00 - 04:00 NY)
6 AM Candle (06:00 - 07:00 NY)
9 AM Candle (09:00 - 10:00 NY)
Dynamic Fibonacci Levels:
1.111 Extensions: Automatically plots the +/- 1.111 expansion levels from the session range, often used to identify stop hunts or reversals.
Highlights the 0.37 and 0.55 levels with a customizable shaded background for clear visualization of internal reaction zones.
Mirrored Sets: Capable of generating multiple sets of extensions (e.g., 2.111, 3.111) based on user configuration for trending markets.
Smart Visualization:
Dynamic Extension: Lines for the current day extend dynamically (Current Bar + 3) for real-time visibility but cap at 17:00 NY to prevent chart clutter.
Historical Accuracy: Past session lines remain fixed at the 17:00 NY daily close.
Full Customization: Control line styles (Solid, Dotted, Dashed), widths, colors, and fill transparency to match your charting theme.
How It Works
Once a selected session completes, the indicator calculates the High and Low of that specific time period. It immediately projects the 1.111 expansion levels and the internal 0.37/0.55 zones. Users can adjust the "Set Visible Ranges" setting to project further expansions (Sets 2, 3, 4, etc.) for days with high volatility.
Settings
Session to Display: Select the specific session or candle time you wish to analyze.
Set Visible Ranges: Define how many upper and lower extension sets are displayed.
Style: Customize colors for the 1.111 levels and the 37/55 zones, adjust fill transparency, and select your preferred line style.
Qullamaggie Trading System ProQullamaggie Trading System
OVERVIEW
The Qullamaggie Trading System is a comprehensive indicator that implements Kristjan Qullamaggie's legendary "3 Timeless Setups" methodology. This professional-grade tool is designed for swing traders who want to identify high-probability momentum breakouts, episodic pivots, and parabolic short opportunities with institutional-level precision.
"The goal is not to trade often, but to trade well." - Qullamaggie
KEY FEATURES
1. Three Core Qullamaggie Setups
🚀 Momentum Breakouts
Identifies stocks with 30-100%+ prior moves in the last 60 days
Detects tight consolidation patterns (2-8 weeks) with higher lows
Confirms breakouts with volume expansion (1.5x+ average)
Validates "surfing" behavior on 10-day and 20-day moving averages
Never buys below 50MA (configurable Qullamaggie rule)
⚡ Episodic Pivots (EP)
Detects gap-ups of 10%+ on massive volume (2x+ average)
Identifies earnings-driven EPs with special labeling
Confirms strong closes above the gap open
Highlights fundamental catalysts
🔻 Parabolic Shorts
Identifies overextended stocks (3+ consecutive up days)
RSI overbought threshold (75+)
30%+ extension from recent lows
Perfect for counter-trend shorting opportunities
2. Advanced Pattern Recognition
🟡 Coiling/VCP Detection (Gold Dots)
Identifies Volatility Contraction Patterns (VCP)
Shows when price is tight (<10% range) and volume is drying up
Indicates pre-breakout accumulation phase
Hover tooltip shows: Range %, Volume ratio, Which MA it's surfing
💎 Relative Strength New Highs (Blue Dots)
Tracks when RS line vs SPY/QQQ makes a new 50-day high
Identifies true market leaders BEFORE they breakout
Customizable benchmark (SPY, QQQ, or any index)
Hover tooltip shows: RS status and what it means
🟣 Pocket Pivots (Purple Dots)
Detects institutional accumulation inside the base
Volume > Highest down-volume of last 10 days
Bullish sign per Qullamaggie methodology
Hover tooltip shows: Current volume vs down-volume comparison
3. 5-Star Setup Quality Rating System
Based on deep research of Qullamaggie's methodology, the indicator rates every setup:
⭐⭐⭐⭐⭐ (5-Star) - Exceptional Quality
Prior move 50%+ in 60 days
Above 50MA ✓
RS at new high (market leader)
Range < 3% (extremely tight)
Volume dry → expansion pattern
Perfect MA alignment (10>20>50>200)
Clean setup (not choppy)
⭐⭐⭐⭐ (4-Star) - Strong Quality
Prior move 30%+
Above 50MA ✓
Strong RS
Range < 5%
Good volume pattern
⭐⭐⭐ (3-Star) - Decent Quality
Prior move 20%+
Basic requirements met
Scoring Algorithm
Prior Move: 1.5 pts
Above 50MA: 1.0 pt
RS New High: 1.0 pt
Tightness: 1.0 pt
Volume Pattern: 1.0 pt
MA Alignment: 0.5 pt
Clean Setup: 0.5 pt
4. Professional "Pro Desk" Dashboard
A sleek, glassmorphism-style dashboard displays:
Prior Move (60d): Shows % move in last 60 days (green if >30%)
Above 50MA: YES ✓ or NO ✗ (Qullamaggie's core rule)
Setup Quality: ⭐⭐⭐⭐⭐ rating with color coding
ADR (20): Average Daily Range for volatility assessment
Trend: BULLISH 🟢 or MIXED 🟡 based on MA stack
RS vs Index: NEW HIGH 💎, STRONG 💪, or WEAK 📉
Status: BREAKOUT 🚀, EPISODIC ⚡, COILING 🕸️, PARABOLIC 🔻, or WAITING ⏳
Volume: EXPANSION 🔊, DRY UP 🔇, or NORMAL
Range (10d): Current 10-day range percentage
4 Premium Themes:
Deep Space (default)
Bloomberg
Clean Light
Midnight
5. Qullamaggie Filters (Configurable)
All core Qullamaggie rules are configurable:
✅ Require Prior Move (default: ON)
Min Prior Move %: 30% (adjustable)
Lookback: 60 days (adjustable)
✅ Require Above 50MA (default: ON)
Qullamaggie rarely buys below 50MA
✅ Volume Expansion (default: 1.5x)
Adjustable multiplier
✅ Consolidation Range (default: 10%)
Max allowed range for tight consolidation
6. Visual Elements
Moving Averages
10-day EMA (Cyan) - Primary trailing stop
20-day SMA (Purple) - Secondary support
50-day SMA (Orange) - Key Qullamaggie filter
200-day SMA (Grey) - Long-term trend
Dynamic coloring: Fades when MA is declining
Signal Labels
BO (Green) - Breakout confirmed
EP (Blue) - Episodic Pivot
EP (Earn) (Blue) - Earnings-driven EP
P-Short (Red) - Parabolic Short setup
Consolidation Boxes
Golden dotted boxes show active consolidation zones
Updates in real-time as price tightens
Trailing Stop Line
Visual 10-EMA crosshair when price is trending
Helps manage trades per Qullamaggie's rules
7. Comprehensive Alert System
6 customizable alerts:
Breakout Alert - When all criteria are met
EP Alert - Episodic Pivot detected
Parabolic Short Alert - Short setup triggered
Coil Alert - Price coiling (anticipation phase)
RS New High Alert - Relative strength breakout
Below 50MA Alert - EXIT signal when price drops below 50MA
🎓 HOW TO USE
For Breakout Trading:
Look for Gold Coil Dots (●) appearing near 10/20MA
Wait for Green "BO" label with volume expansion
Check Setup Quality: Only trade ⭐⭐⭐⭐ or ⭐⭐⭐⭐⭐ setups
Verify Above 50MA = YES ✓
Confirm Prior Move > 30%
Enter on breakout, stop at low of day (or 10EMA)
For Episodic Pivots:
Look for Blue "EP" or "EP (Earn)" labels
Earnings-driven EPs are highest quality
Enter at open or ORH (Opening Range High)
Stop at low of gap day
For Market Leaders:
Watch for Blue RS Dots (●) above price
These appear when stock outperforms the index
Often precedes major breakouts
Combine with Coil Dots for "Power Play" setups
Day of Week SeparatorThis indicator displays vertical lines to separate each day of the trading week, along with the optional 4hr separators. It also shows day-of-week labels (MON, TUE, etc.) at a specified hour for quick visual reference. Useful for intraday traders who want a clear view of daily and higher timeframe transitions.
Static K-means Clustering | InvestorUnknownStatic K-Means Clustering is a machine-learning-driven market regime classifier designed for traders who want a data-driven structure instead of subjective indicators or manually drawn zones.
This script performs offline (static) K-means training on your chosen historical window. Using four engineered features:
RSI (Momentum)
CCI (Price deviation / Mean reversion)
CMF (Money flow / Strength)
MACD Histogram (Trend acceleration)
It groups past market conditions into K distinct clusters (regimes). After training, every new bar is assigned to the nearest cluster via Euclidean distance in 4-dimensional standardized feature space.
This allows you to create models like:
Regime-based long/short filters
Volatility phase detectors
Trend vs. chop separation
Mean-reversion vs. breakout classification
Volume-enhanced money-flow regime shifts
Full machine-learning trading systems based solely on regimes
Note:
This script is not a universal ML strategy out of the box.
The user must engineer the feature set to match their trading style and target market.
K-means is a tool, not a ready made system, this script provides the framework.
Core Idea
K-means clustering takes raw, unlabeled market observations and attempts to discover structure by grouping similar bars together.
// STEP 1 — DATA POINTS ON A COORDINATE PLANE
// We start with raw, unlabeled data scattered in 2D space (x/y).
// At this point, nothing is grouped—these are just observations.
// K-means will try to discover structure by grouping nearby points.
//
// y ↑
// |
// 12 | •
// | •
// 10 | •
// | •
// 8 | • •
// |
// 6 | •
// |
// 4 | •
// |
// 2 |______________________________________________→ x
// 2 4 6 8 10 12 14
//
//
//
// STEP 2 — RANDOMLY PLACE INITIAL CENTROIDS
// The algorithm begins by placing K centroids at random positions.
// These centroids act as the temporary “representatives” of clusters.
// Their starting positions heavily influence the first assignment step.
//
// y ↑
// |
// 12 | •
// | •
// 10 | • C2 ×
// | •
// 8 | • •
// |
// 6 | C1 × •
// |
// 4 | •
// |
// 2 |______________________________________________→ x
// 2 4 6 8 10 12 14
//
//
//
// STEP 3 — ASSIGN POINTS TO NEAREST CENTROID
// Each point is compared to all centroids.
// Using simple Euclidean distance, each point joins the cluster
// of the centroid it is closest to.
// This creates a temporary grouping of the data.
//
// (Coloring concept shown using labels)
//
// - Points closer to C1 → Cluster 1
// - Points closer to C2 → Cluster 2
//
// y ↑
// |
// 12 | 2
// | 1
// 10 | 1 C2 ×
// | 2
// 8 | 1 2
// |
// 6 | C1 × 2
// |
// 4 | 1
// |
// 2 |______________________________________________→ x
// 2 4 6 8 10 12 14
//
// (1 = assigned to Cluster 1, 2 = assigned to Cluster 2)
// At this stage, clusters are formed purely by distance.
Your chosen historical window becomes the static training dataset , and after fitting, the centroids never change again.
This makes the model:
Predictable
Repeatable
Consistent across backtests
Fast for live use (no recalculation of centroids every bar)
Static Training Window
You select a period with:
Training Start
Training End
Only bars inside this range are used to fit the K-means model. This window defines:
the market regime examples
the statistical distributions (means/std) for each feature
how the centroids will be positioned post-trainin
Bars before training = fully transparent
Training bars = gray
Post-training bars = full colored regimes
Feature Engineering (4D Input Vector)
Every bar during training becomes a 4-dimensional point:
This combination balances: momentum, volatility, mean-reversion, trend acceleration giving the algorithm a richer "market fingerprint" per bar.
Standardization
To prevent any feature from dominating due to scale differences (e.g., CMF near zero vs CCI ±200), all features are standardized:
standardize(value, mean, std) =>
(value - mean) / std
Centroid Initialization
Centroids start at diverse coordinates using various curves:
linear
sinusoidal
sign-preserving quadratic
tanh compression
init_centroids() =>
// Spread centroids across using different shapes per feature
for c = 0 to k_clusters - 1
frac = k_clusters == 1 ? 0.0 : c / (k_clusters - 1.0) // 0 → 1
v = frac * 2 - 1 // -1 → +1
array.set(cent_rsi, c, v) // linear
array.set(cent_cci, c, math.sin(v)) // sinusoidal
array.set(cent_cmf, c, v * v * (v < 0 ? -1 : 1)) // quadratic sign-preserving
array.set(cent_mac, c, tanh(v)) // compressed
This makes initial cluster spread “random” even though true randomness is hardly achieved in pinescript.
K-Means Iterative Refinement
The algorithm repeats these steps:
(A) Assignment Step, Each bar is assigned to the nearest centroid via Euclidean distance in 4D:
distance = sqrt(dx² + dy² + dz² + dw²)
(B) Update Step, Centroids update to the mean of points assigned to them. This repeats iterations times (configurable).
LIVE REGIME CLASSIFICATION
After training, each new bar is:
Standardized using the training mean/std
Compared to all centroids
Assigned to the nearest cluster
Bar color updates based on cluster
No re-training occurs. This ensures:
No lookahead bias
Clean historical testing
Stable regimes over time
CLUSTER BEHAVIOR & TRADING LOGIC
Clusters (0, 1, 2, 3…) hold no inherent meaning. The user defines what each cluster does.
Example of custom actions:
Cluster 0 → Cash
Cluster 1 → Long
Cluster 2 → Short
Cluster 3+ → Cash (noise regime)
This flexibility means:
One trader might have cluster 0 as consolidation.
Another might repurpose it as a breakout-loading zone.
A third might ignore 3 clusters entirely.
Example on ETHUSD
Important Note:
Any change of parameters or chart timeframe or ticker can cause the “order” of clusters to change
The script does NOT assume any cluster equals any actionable bias, user decides.
PERFORMANCE METRICS & ROC TABLE
The indicator computes average 1-bar ROC for each cluster in:
Training set
Test (live) set
This helps measure:
Cluster profitability consistency
Regime forward predictability
Whether a regime is noise, trend, or reversion-biased
EQUITY SIMULATION & FEES
Designed for close-to-close realistic backtesting.
Position = cluster of previous bar
Fees applied only on regime switches. Meaning:
Staying long → no fee
Switching long→short → fee applied
Switching any→cash → fee applied
Fee input is percentage, but script already converts internally.
Disclaimers
⚠️ This indicator uses machine-learning but does not predict the future. It classifies similarity to past regimes, nothing more.
⚠️ Backtest results are not indicative of future performance.
⚠️ Clusters have no inherent “bullish” or “bearish” meaning. You must interpret them based on your testing and your own feature engineering.
BTC Kimchi Premium by alwc (KR Exchanges / BTCUSDT.P)This indicator visualizes the Kimchi Premium of BTC using Korean spot exchanges and global BTCUSDT perpetual futures.
How it works
Uses BTC/KRW from a selected Korean exchange (Upbit or Bithumb).
Uses BTCUSDT.P perpetual futures from a selected global exchange (Binance / Bybit / OKX).
Uses USDKRW (default: FX_IDC:USDKRW) to convert USD price into KRW.
Kimchi Premium is calculated as:
BTC_KRW / (BTCUSDT.P * USDKRW) - 1 and plotted in %.
Features
Inputs to select:
Domestic exchange: Upbit or Bithumb
Foreign futures exchange: Binance, Bybit, or OKX
Custom USDKRW symbol
Shows the latest Kimchi Premium value as a label on the indicator panel.
Displays a table in the top-right corner with real-time USDT(KRW) prices on Upbit and Bithumb, helping you monitor both BTC Kimchi Premium and the KRW-USDT premium at a glance.
Pine Script v6. Designed for BTC Kimchi Premium monitoring and KR/Global spread analysis.
MTF FVG 智能終極版 (Smart Clean)指標名稱：MTF FVG 智能終極版 (Smart Clean)
簡潔介紹
這是一款專為專業交易者設計的 多週期失衡區 (FVG) 監控系統，核心特色如下：
五維度監控：
在任何圖表上同時顯示 月、周、日、4H、2H 五種級別的支撐壓力缺口。
智慧重疊清理 (獨家)：
當價格重疊時，自動刪除舊框框，只保留最新的 1~3 個（可設定）；若無重疊則完整保留歷史痕跡。確保圖表乾淨且資訊不遺漏。
完美視覺體驗：
大週期無限延伸，小週期固定長度。
文字自動靠右並智慧留白，確保不遮擋右側價格座標。
深色邊框 + 淺色填充 + 中線虛線，層次分明。
Indicator Name: MTF FVG Smart Clean Ultimate Edition
Brief Introduction
This is a multi-timeframe Free Gaps (FVG) monitoring system designed for professional traders. Its core features include:
Five-Dimensional Monitoring: Simultaneously displays support, resistance, and gaps at five timeframes (monthly, weekly, daily, 4H, and 2H) on any chart.
Intelligent Overlap Cleanup (Exclusive): When prices overlap, automatically deletes old boxes, retaining only the latest 1-3 (configurable); if there is no overlap, it retains all historical data. Ensures a clean chart and complete information.
Perfect Visual Experience: Larger timeframes extend infinitely, while smaller timeframes have fixed lengths.
Text automatically aligns to the right with intelligent white space to ensure it doesn't obscure the price coordinates on the right.
Dark borders + light fill + dashed center line create clear visual hierarchy.
Weekends HighlighterHighlights all Saturdays and Sundays on the chart with two different background colors to easily spot weekends.
Session Highlighter (Asia / London / New York)This TradingView Pine Script highlights the three major Forex sessions—Asia, London, and New York—directly on the chart. Each session has customizable start/end times (based on New York time), toggle switches to show or hide them, and adjustable background colors. The script automatically detects sessions that cross midnight and shades the chart accordingly. It can also place optional labels at the exact opening of each session.
Huli-Huli (Reversal) WindowHuli-Huli (Reversal) Time-Zone Highlighter
Huli (Hawaiian for "turn/flip") highlights specific time regions on your chart where price reversals and pivots are statistically more common during major trading sessions (Asian, London, NY).
This indicator identifies potential turning points based on historical session transitions and market behavior patterns. It does NOT predict or guarantee reversals - it simply marks time zones where pivots frequently occur.
When combined with key support/resistance levels, supply/demand zones, or other confluence factors, these highlighted periods may provide additional context for timing entries and exits.
Use this indicator as one piece of your trading puzzle, not as a standalone signal. Always combine with proper risk management and other technical analysis tools.
Note: Past performance and statistical tendencies do not guarantee future results. Trade responsibly.
***UTC Time should match EST - So depending on Daylight Savings or not you will want to select UTC 4 or UTC 5***
Reversal iJung v2Reversal iJung v2 User Guide
1. Concept
Reversal iJung v2 is a trend-filtered reversal entry tool with:
Trend filter using EMA 20/50/200 (+ EMA cluster)
Candle pattern confirmation (Engulfing / Pin bar)
“Body over EMA20” logic for valid signals
Retrace-based Pending Entry (Limit style)
Auto Lot, RR-based exits, dashboard, and webhook alerts to Telegram
Objective: pick high-quality reversals in line with the major trend, enter with better RR via retrace, and manage risk clearly.
2. Core Components
2.1 EMA Trend Filter & Cluster
EMA20 / EMA50 / EMA200 define:
Bull trend: 20 > 50 > 200
Bear trend: 20 < 50 < 200
useTrendFilter:
On: only trade in trend direction
Off: ignore trend
EMA Cluster Mode
"Off": no cluster filter
"2 EMA (Fast/Mid)": EMA20 & EMA50 must stay within Max EMA Distance (x ATR)
"3 EMA (Fast/Mid/Slow)": EMA20/50/200 all clustered
This helps avoid messy conditions where EMAs are too wide or choppy.
2.2 MACD Weakness Filter
Long: accept only if selling pressure weakens:
macdLine < 0 and macdHist > macdHist
Short: accept only if buying pressure weakens:
macdLine > 0 and macdHist < macdHist
useMacdFilter = On/Off
2.3 Entry Logic & Retrace Mode
Patterns
Bull/Bear Engulfing
Bull/Bear Pin bar (with adjustable body/wick percentages)
Optional: “Any candle that closes over EMA20” as a signal
Body over EMA20
Long: candle body crosses EMA20 and closes above it
Short: body crosses EMA20 and closes below it
Entry Mode
"Close": entry at bar close
"Retrace":
Long: use close → low distance
Short: use high → close distance
EntryRetrace % controls how deep to place Limit entry
SL = swing low/high ± slBufferPts * mintick
TP1 / TP2 set by RR (1:rr1, 1:rr2)
2.4 Exit Logic
Normal exits:
Hit TP1, TP2, or SL
Track RR1 / RR2 statistics and total RR
EMA Exit:
Long exit when price closes below EMA20 with a bearish candle
Short exit when price closes above EMA20 with a bullish candle
Reason code: LONG_EMA_EXIT / SHORT_EMA_EXIT
2.5 Pending & Expiry
Only one side active at a time (no hedge).
minBarsBetweenSignals: lockout between signals to avoid spam.
pendingExpireBars: if price hasn’t touched entry within X bars, cancel pending and send *_PENDING_EXPIRED alert.
2.6 Auto Lot
Estimate lot size from:
Account Balance
Risk % per trade
Value per point per 1 lot
Then:
Lot ≈ (Balance × Risk%) / (|Entry – SL| × valuePerPointPerLot)
A label Lot≈... is shown near the entry line.
2.7 Dashboard
Modes: Normal, Compact, Mini
Mini mode shows:
Trend / Lot / Entry / SL / TP1 / TP2 / R1/R2 win%
Position options:
Top Right, Top Left, Bottom Right, Bottom Left
3. Alerts & Webhook
The script uses alert() with a JSON payload when useWebhook is enabled.
Key reasons:
ENTRY_SIGNAL → new pending (for placing Limit orders)
ENTRY_FILLED → order filled
LONG_SL, SHORT_SL, LONG_TP2, SHORT_TP2
LONG_EMA_EXIT, SHORT_EMA_EXIT
LONG_PENDING_EXPIRED, SHORT_PENDING_EXPIRED
Your Google Apps Script parses this JSON, builds a nice human-readable message, and forwards it to Telegram.
4. Telegram Flow (Short English Summary)
Create Telegram bot via BotFather → get BOT_TOKEN.
Get CHAT_ID of your group/channel.
Create Google Apps Script project, paste the provided code, set token + chat id.
Deploy as Web App (Anyone).
Use that Web App URL as Webhook URL in TradingView alert.
In TradingView:
Condition: Reversal iJung v2 → Any alert() function call
Leave message empty (the script generates JSON)
Enable Webhook + paste URL
Now you’ll receive:
Yellow (ENTRY_SIGNAL): to pre-place Limit orders
Green/Red (ENTRY_FILLED): when position is live
Exit / Cancel / EMA Exit notifications with full price details
CME Bitcoin Weekend Gap (Global) @jerikooDescription:
The Problem: You are watching the wrong hours. Many traders assume CME Bitcoin futures follow standard stock market hours or open Monday morning. This is incorrect.
Stock Market: Opens Monday morning.
CME Bitcoin: Opens Sunday Evening (US Time).
If you are in Europe, this means the market actually opens at Midnight (00:00) Monday. If you are waiting for the "Monday Morning Open," you are late.
The Solution: True Gap Detection This indicator highlights the exact downtime of the CME Bitcoin Futures market to help you identify true liquidity gaps.
Why this script is different: Most gap scripts break when you change your chart's time zone (e.g., switching from UTC to New York). This script is Universal.
Hardcoded Exchange Time: It calculates logic based on "America/Chicago" (CME HQ) time, regardless of your local chart settings.
Manual Offset Fix: Some data feeds have a +/- 1 or 2-hour sync difference depending on the broker. This script includes a "Hour Shift" setting to manually align the box perfectly to your specific candles.
How to use:
Add to your chart.
Look for the Dark Green highlighted zone.
This zone represents the Weekend Gap (Friday Close to Sunday Open).
Troubleshooting: If the box starts 1-2 hours too early or too late, go to Settings and change the "Hour Shift" value (e.g., -1, +1) until it snaps perfectly to the Friday close candle.
Technical Details:
CME Close: Friday 16:00 CT
CME Open: Sunday 17:00 CT
Color: Dark Green (50% Transparency)
Step 3: Categories & Tags
Select these options in the right-hand menu of the publishing page.
Category: Trend Analysis OR Bitcoin
Tags: CME Bitcoin BTC Gap Futures Weekend
Step 4: Final Checklist Before Clicking "Publish"
Load the Code: Make sure the "Manual Fix" version of the code (the last one I gave you) is currently open in the Pine Editor.
Add to Chart: You must click "Add to Chart" so the script is visible on your screen before publishing.
Privacy: Select Public (so others can search for it) or Private (if you only want to share the link).
Visibility: Choose Open (so others can see the code) or Protected (if you want to hide the code, though Open is better for simple scripts like this).
CCI Trading SystemCCI Trading System is a private, invite-only indicator designed to identify high-quality market turning points and reduce noise during volatile conditions.
It focuses on detecting key price zones, momentum shifts, and providing fully automated trade-management visuals for a clean and efficient trading experience.
Key Features
Clear BUY/SELL signals when market conditions align
Automatic drawing of Entry, Take-Profit, and Stop-Loss levels
Two flexible TP modes for different trading styles
Daily performance statistics (win-rate, total trades, TP/SL count)
Webhook support for automated trading with bots or external platforms
Non-repainting signals confirmed at bar close
Optional advanced filtering for more conservative entries
Best For
Intraday and short-term trading
Traders who want clean, simplified execution
Automated systems using Webhook integration
Nexural JMAHere's a natural description for TradingView:
Nexural JMA - Jurik Moving Average with Multi-Factor Analysis
WHAT IT DOES
This is a Jurik Moving Average indicator that I've enhanced with multi-factor scoring to help you identify high-quality trade setups. JMA is known for being smoother and more responsive than traditional moving averages, which means less lag without the whipsaw you get from faster EMAs.
The indicator plots the JMA line on your chart with dynamic support and resistance zones, entry signals, and a real-time dashboard that scores market conditions from 0 to 100 across five key factors.
KEY FEATURES
Jurik Moving Average - A sophisticated moving average that adapts quickly to price changes while staying smooth. You can adjust the phase and power settings to control its responsiveness.
Dynamic Zones - Creates a cloud around the JMA based on ATR. Think of it as a buffer zone that shows where price typically bounces or breaks through.
Multi-Factor Scoring - Real-time scores for Momentum, Volume, Volatility, and Trend Strength. All metrics are normalized to 0-100 so you can quickly see what's strong and what's weak.
Strength-Based Gradient - The JMA line and cloud change opacity based on trend strength. Bright and solid means strong conviction, faded means weak or transitional.
Filtered Signals - Entry signals only appear when multiple factors align - price crosses the JMA, volume confirms, and trend strength is adequate.
HOW TO USE IT
The JMA Line - This is your trend filter. When the line is green and rising, look for long opportunities. When it's red and falling, look for shorts. The brighter the color, the stronger the trend.
The Cloud - Price typically bounces off the cloud edges in trends. When price breaks through the cloud against the trend, it often signals exhaustion or reversal.
Entry Signals - Green triangles below price are long signals. Red triangles above price are short signals. These only fire when volume, momentum, and trend strength are adequate.
The Dashboard - This is your market health monitor. Check it before taking a trade. You want to see high scores (70+) in momentum and trend strength for the best setups. Volume above 50 adds confirmation.
Volatility Score - High volatility (70+) means wider stops and bigger targets. Low volatility (below 30) means tighter ranges and smaller moves.
BEST PRACTICES
Use the dashboard to filter trades. If trend strength is below 40, the market is choppy and you're better off waiting for clarity.
Pay attention to the gradient intensity. A bright solid JMA line with a visible cloud means the trend has conviction. A faded line means the trend is weak or transitioning.
Volume matters. Signals with volume scores above 70 tend to have better follow-through than those with weak volume.
Don't force trades when momentum is low. Below 40 momentum score means the market is consolidating or drifting.
Use the cloud as a stop loss guide in trends. Price reclaiming the cloud against the trend is often your signal to exit or tighten stops.
UNDERSTANDING THE SCORES
Momentum Score - Measures the rate of change over 10 bars compared to recent history. High scores mean price is moving decisively.
Volume Score - Compares current volume to the last 100 bars. Above 70 means volume is strong, below 30 means it's weak.
Volatility Score - Based on ATR percentile. High scores mean the market is moving with larger swings, low scores mean it's quiet.
Trend Strength - Combines how far price is from the JMA plus the slope of the JMA itself. This is your conviction meter.
SETTINGS BREAKDOWN
JMA Length - Default is 7, which is quite responsive. Increase to 14 or 21 for smoother trends on higher timeframes. Lower to 5 for faster response on scalping timeframes.
Phase - Default is 50 which is balanced. Higher values (70-100) make it more responsive but can increase whipsaws. Lower values (0-30) make it smoother but add lag.
Power - Controls the JMA curve calculation. Default is 2 which works well. Higher values make it more responsive at the cost of smoothness.
Source - Default is close, but you can experiment with hlc3 or ohlc4 for different characteristics.
PROS
Clean visual presentation - The gradient system makes trend strength obvious at a glance.
No guesswork on market conditions - The scored dashboard tells you exactly what's working and what's not.
Filtered signals - Unlike basic moving average crosses, these signals require multiple confirmations.
Adaptable - Works on stocks, crypto, forex, and futures. Just adjust the length for your timeframe.
Low lag - JMA responds faster than SMA or EMA of the same length, so you get earlier entries.
CONS
JMA can be sensitive - On the default settings, you might see some false signals in choppy markets. Consider increasing the length if this happens.
Requires interpretation - The dashboard gives you data, but you still need to make the trading decision. It's not a one-click solution.
Works best in trends - Like most moving average systems, it struggles in tight sideways ranges. Low trend strength scores will warn you when this is happening.
Not ideal for very fast scalping - The default length of 7 works for 5-minute and above, but for 1-minute scalping, you might need to drop it to 3-5 and accept more noise.
Volume data quality matters - On some assets or timeframes, volume data is unreliable or unavailable. The volume score will be less useful in those cases.
TIPS FROM MY TESTING
The indicator works best on the 5-minute to daily timeframes. I've had the most success on 15-minute and 1-hour charts.
When all scores are above 60, you're in prime trading conditions. These are your A+ setups.
Use it with support and resistance. When a signal fires at a key level with high trend strength, the probability increases significantly.
The cloud is your friend in trends. In strong trends, price will use the cloud edges as support or resistance for continuation entries.
Don't ignore weak signals in strong trends. Sometimes a low momentum score during a pullback in a strong trend is your best re-entry point.
Watch for divergence between price and the JMA. If price makes a new high but the JMA is fading in color and trend strength is dropping, that's often a warning sign.
ALERT SYSTEM
The alerts include the trend strength score in the message, so you know immediately if it's a high-conviction signal or a marginal one. Set your alerts to "once per bar close" to avoid repainting.
COMBINING WITH OTHER TOOLS
This works great with RSI or stochastic for timing entries. Use the JMA for trend direction and zones for context, then use an oscillator to time the exact entry.
It pairs well with volume profile. The JMA shows you the trend, volume profile shows you where the battle is happening.
Consider using a higher timeframe JMA for bias and a lower timeframe for entries. If the 1-hour JMA is bullish with 80 trend strength, look for long entries on the 15-minute chart.
This indicator is designed to give you clarity in a noisy market. The JMA itself is a powerful tool, but adding the multi-factor scoring system helps you understand the quality of what you're seeing. It's not magic, but it's been helpful for filtering out the junk and focusing on the setups with the best probability.
As always, backtest it on your markets and timeframes. Adjust the settings to fit your trading style. What works for one person might not work for another, so make it your own.
Good luck and trade safe.
ACE SqueezeACE Squeeze - Advanced Momentum Oscillator with Squeeze Detection
WHAT IT DOES
This is my take on a squeeze momentum indicator that I've been refining over time. At its core, it detects periods when volatility contracts (the squeeze) and measures momentum direction when the market breaks out. Think of it like a coiled spring - when price compresses into a tight range, it often leads to explosive moves once it breaks free.
The indicator plots a histogram oscillator that ranges from -100 to +100, with several visual elements to help you gauge signal strength and market conditions.
KEY FEATURES
Market Regime Detection - The indicator automatically adjusts its sensitivity based on whether the market is trending, ranging, choppy, or volatile. This helps reduce false signals in different market environments.
Hilbert Transform - Uses advanced cycle detection to identify the dominant market rhythm. You can toggle this on/off if you prefer the simpler calculation method.
Volume Analysis - Incorporates volume delta and footprint analysis to confirm momentum signals. Strong moves with volume confirmation get priority.
Statistical Filtering - Filters out low-quality signals by analyzing signal persistence and deviation from the mean. This helps focus on the high-probability setups.
Visual Enhancements - Three-tier glow system shows building momentum, heat maps at extreme levels, and cycle phase indicator to track market rhythm.
HOW TO USE IT
The Squeeze - When you see the purple background, that's a squeeze condition. The market is compressing and building energy. Wait for the squeeze to release (background disappears) and watch which direction the histogram breaks.
Histogram Direction - Green bars mean bullish momentum, red bars mean bearish momentum. The stronger the color and the larger the glow effect, the stronger the signal.
Zero Line - Think of this as the battleground. When the histogram crosses above zero with strong momentum, that's a buy signal. When it crosses below with conviction, that's a sell signal.
Extreme Levels - The +90/-90 zones are overbought/oversold areas. The heat map bands intensify as the signal reaches these extremes, warning you that a reversal or consolidation might be coming.
Signal Quality - The indicator has built-in quality filtering. The alerts are set to only fire when signal quality is high (above 70-80%), which helps avoid the junk trades.
BEST PRACTICES
Don't trade every signal. Wait for the high-quality setups where multiple factors align - squeeze release, strong momentum, volume confirmation, and good signal quality.
Use higher timeframes for confirmation. A squeeze on the 1-hour chart hitting at the same time as the daily chart is much more powerful than isolated signals.
Pay attention to the cycle phase line. When momentum aligns with the cycle direction, the move tends to have more follow-through.
The glow effects are your friend. When you see the tier 3 extreme glow, the market is really moving - consider trailing stops or scaling out.
PROS
Highly customizable - You can adjust almost everything from sensitivity to visual appearance.
Multi-faceted analysis - Combines volatility, momentum, volume, and cycle analysis in one indicator.
Smart filtering - The regime detection and statistical filtering help adapt to different market conditions.
Visual clarity - The glow effects and color gradients make it easy to see signal strength at a glance.
Good alert system - Alerts are filtered for quality, so you're not getting pinged on every minor wiggle.
CONS
Can be complex for beginners - There are a lot of settings and concepts to understand. Start with defaults and adjust gradually.
Lags on fast markets - Like any indicator, it's based on past data. In extremely fast-moving markets, you might get late entries.
Works best in volatile markets - In super tight, low-volatility ranges, you might see fewer signals. That's by design, but it means patience is required.
Computational load - With all the enhancements turned on, it's doing a lot of calculations. On lower-end devices, you might notice some lag.
Not a holy grail - No indicator is. This is a tool to help you make better decisions, not a replacement for proper risk management and trading discipline.
SETTINGS BREAKDOWN
Core Settings - Adjust the base cycle length (10 is good for most timeframes) and sensitivity (0.65 is balanced, lower for fewer signals, higher for more).
Enhancement Settings - Toggle the advanced features. If you're getting too many signals, try turning off RRED. If you want cleaner signals, keep statistical filtering on.
Visual Settings - Customize the appearance. The glow effects look cool but you can disable them if you prefer a cleaner chart.
Elite Settings - Market regime detection is powerful but you can disable it if you want consistent behavior across all market conditions.
TIPS FROM MY TESTING
The indicator shines best on the 15-minute to 4-hour timeframes. It works on lower timeframes but expect more noise.
Use it alongside support/resistance or supply/demand zones. When a squeeze fires near a key level, the probability increases significantly.
Don't ignore the small signals in trending markets. Sometimes the modest +30 to +40 readings in a strong uptrend are your best continuation entries.
The squeeze can last longer than you expect. Don't try to predict when it will fire - let the indicator tell you.
This indicator represents a lot of testing and refinement. It's not perfect, but it's been useful in my trading. I hope it helps you spot better setups and avoid some of the false signals that plague simpler momentum indicators.
