Predictive Analysis Engine — Adaptive MACD Forecasting with R² SProfessional and Rule-Compliant Description (Ready for Publishing)
This description explains every component of the script in detail, highlights its originality, and provides traders with clear usage instructions — exactly what TradingView expects.
Predictive Analysis Engine (PAE)
This script is a predictive analysis model that combines trend filtering, linear forecasting, stability analysis (R²), and outlier filtering using ATR to produce an advanced, leading-style version of MACD rather than a traditional lagging one.
The indicator does not rely on random elements; it is built on four core components that work together:
1. Stability Measurement Using R²
The coefficient of determination (R²) is calculated based on the correlation between price and time, then normalized to a 0–1 scale.
A higher R² indicates more stable price movement, allowing the script to increase forecast accuracy.
Here, R² acts as a primary component of the Confidence Filter.
2. Forecasted Price Using Linear Regression
Instead of relying solely on the current price, the script uses:
Linear Regression
Weighted blending between the forecasted price and actual price
This enables the script to build a Leading MACD based on an “advanced” price that anticipates probable movement.
3. Advanced MACD With Adaptive Smoothing
MACD is applied to the blended (real + forecasted) price using:
Fast EMA
Slow EMA
MACD base
Optional TEMA for reducing signal lag
Adjustable histogram smoothing
This process makes MACD more responsive with significantly less lag, reacting faster to predicted movements.
4. Predictive MACD (Projected MACD)
Linear Regression is applied again — but this time to:
MACD
Signal
Histogram
to generate projected versions of each line (proj_macd, proj_signal), while proj_hist is used to produce early signals before the actual crossover occurs.
5. Volatility Filtering Using ATR & Volatility Ratio
ATR is used to evaluate:
Strength of movement
Overextension levels
Signal quality
ATR is combined with R² to compute:
Confidence = R² × Volatility Ratio
This suppresses weak signals and boosts high-quality, reliable ones.
6. Predictive Signals + Safety Filters
A signal is triggered when:
proj_hist crosses the 0 level
Confidence exceeds the required threshold
The real histogram is not excessively stretched (extra safety)
The script includes:
BUY / SELL
BUY_STRONG / SELL_STRONG
based on the smoothed histogram trend.
7. Coloring, Background & Visual Enhancements
The script colors:
The histogram
Chart background
Signal lines
to clearly highlight momentum direction and confidence conditions.
8. Built-In Alerts
The script provides ready-to-use alerts:
BUY Alert
SELL Alert
Both based on the predictive MACD model.
How to Use the Script
Add it to any timeframe and any market.
BUY/SELL signals are generated from the projected histogram crossover.
Higher Confidence = stronger signal.
Background colors help visualize trend transitions instantly.
Recommended to combine with support/resistance or price action.
Indicator Objective
This script is designed to deliver early insight into momentum shifts using a blend of:
Linear forecasting
Trend stability via R²
Signal quality filtering via ATR
A fast and adaptive advanced MACD
אינדיקטורים ואסטרטגיות
Daily AVWAPsDaily AVWAPs is designed for intraday and swing traders who track institutional volume benchmarks. Instead of a single "rolling" line that resets continuously, this indicator identifies the starting timestamp of the last 5 trading sessions and draws five distinct Anchored VWAPs from those exact moments.
This allows traders to see exactly where the average volume-weighted price stands for the current day (1D), yesterday (2D), and the three days prior (3D, 4D, 5D) simultaneously.
Key Features
Polyline Visualization: Unlike standard indicators that plot historical values for every bar (creating a messy "sawtooth" effect), this script uses Pine Script Polylines. It draws clean, static lines starting from the specific anchor point to the present price, mimicking the manual "Anchored VWAP" drawing tool.
Dynamic Session Detection: The script contains zero hardcoded dates. It automatically detects when a new trading day begins based on the chart data. It works seamlessly across all asset classes (Stocks, Crypto, Futures) and automatically adjusts for weekends, holidays, and irregular trading weeks without manual updates.
Unified Color Control: Input colors are synchronized. Changing a color in the settings menu updates both the chart line and the price scale label instantly.
Toggle Controls: Individual checkboxes allow you to toggle any specific VWAP (1D through 5D) on or off to keep your chart clean.
How to Use
Trend Strength: When the 1D, 2D, and 3D VWAPs are "fanning out" in alignment, the trend is strong.
Mean Reversion: In a sideways market, price often gravitates back to the 5-Day VWAP as a "value area."
Support & Resistance: Watch for price to respect the VWAP of a previous high-volume day (e.g., bouncing off the 3D VWAP during a pullback).
Settings
Source: Select the price data source (default is OHLC4) .
Colors & Toggles: Use the checkboxes to enable/disable specific lines. Customize the color for each specific day's AVWAP directly in the Inputs tab.
This indicator was adapted and repurposed from the original work by The_Last_Gentleman .
Technical Note: This indicator is optimized for intraday timeframes (1m, 5m, 15m, 1H). Because it uses polyline and array logic to scan specific session timestamps, it calculates exclusively on the most recent bar to maintain high performance.
TEMAA simple Pine Script indicator that plots three TEMA (Triple EMA) lines on the chart. Useful for trend direction, momentum shifts, and dynamic support/resistance.
MARKET Structure + MTF DashboardThis script automatically detects market structure shifts and visualizes:
Bullish BOS (Break of Structure)
Bearish BOS
Bullish CHoCH (Change of Character)
Bearish CHoCH
On top of that, it shows a multi-timeframe dashboard in the top-right corner of the chart, so you can instantly see the latest structure event on:
1m
6m
36m
216m
1D
regardless of which timeframe you are currently viewing.
Core Logic
The script is built around swing highs / swing lows using ta.pivothigh and ta.pivotlow.
Pivot Definition
A swing high / low is defined by:
lb = left bars
rb = right bars
A pivot high is a bar whose high is higher than the previous lb bars and the next rb bars.
A pivot low is a bar whose low is lower than the previous lb bars and the next rb bars.
Break Conditions
After a pivot is confirmed, the script waits at least N bars (minBarsAfterPivot) before accepting any break of that pivot level as a valid structure event.
You can choose how to define the break:
Close-based (닫기) – use candle close
Wick-based (없음 or 꼬리) – use high/low (full wick)
BOS vs CHoCH Classification
For each timeframe, the script tracks structure breaks and classifies them:
A move breaking above the last swing high → upward break
A move breaking below the last swing low → downward break
Then:
If the current break direction is the same as the previous break
→ it is classified as BOS (trend continuation)
If the current break direction is the opposite of the previous break
→ it is classified as CHoCH (trend reversal / change of character)
Return codes (internally):
1 = Bullish BOS
2 = Bullish CHoCH
-1 = Bearish BOS
-2 = Bearish CHoCH
0 = no event
Chart Annotations
On the active chart timeframe, the script can optionally show:
Structure lines:
Horizontal lines at the price level where BOS / CHoCH occurred
Lines extend to the left until the first candle that previously touched that price zone
Labels:
“Bull BOS”, “Bear BOS”, “Bull CHoCH”, “Bear CHoCH”
Fully color-customizable (line color, label background, text color, transparency)
You can also enable/disable pivot labels (HH, HL, LL, LH) for swing highs and lows, with separate toggles for:
HH / LL
HL / LH
Multi-Timeframe Dashboard
The dashboard in the top-right corner shows, for each timeframe:
1m / 6m / 36m / 216m / 1D
The last structure event (Bull BOS, Bull CHoCH, Bear BOS, Bear CHoCH, or None)
Colored background by event type:
Strong green / red for CHoCH
Softer green / red for BOS
Gray for None
The important part:
Each timeframe’s state is calculated inside that timeframe itself and then pulled via request.security().
That means:
No matter which chart timeframe you are currently on,
the dashboard always shows the same last event for each TF.
Inputs
Pivot lb / Pivot rb
Control how “wide” a swing must be to be accepted as a pivot.
Breakout 기준 (Confirm type)
Close-based or wick-based break logic.
피봇 이후 최소 대기 캔들 수 (Min bars after pivot)
Minimum number of bars that must pass after a pivot forms before a break can count as BOS / CHoCH.
This filters out very early / noisy breaks.
Toggles:
Show pivot balloons (HH/HL/LL/LH)
Show BOS
Show CHoCH
Visual:
Line colors for each event type
Line transparency
Label background transparency
Label text color
Alerts
The script defines alert conditions for:
Bullish BOS
Bearish BOS
Bullish CHoCH
Bearish CHoCH
You can use them to trigger notifications when a new structure event occurs on the active timeframe.
Notes & Usage
This is a market structure helper, not a complete trading system.
BOS / CHoCH should be used together with:
Liquidity zones
Volume / delta
Orderflow or higher-timeframe context
Parameters like lb, rb, and minBarsAfterPivot are intentionally exposed so you can tune:
Sensitivity vs. reliability
Scalping vs. swing-structure
This script is for educational purposes only and does not constitute financial advice.
Always backtest and combine with your own trading plan and risk management.
⚡ Hybrid Zero-Lag SuperTrend + Strength + Compression⚡ Hybrid Zero-Lag SuperTrend — Ultra-Early Trend Detection for Pro Traders
The Hybrid Zero-Lag SuperTrend is a next-generation trend engine built for traders who demand speed, accuracy, and clean signals. By combining Ehlers Zero-Lag smoothing, adaptive ATR bands, trend-strength scoring, and compression detection, this tool delivers trend flips 50–70% earlier than classic SuperTrend while filtering out noise and chop.
Perfect for scalpers, intraday traders, and high-volatility markets (NVDA, TSLA, NQ, ES, BTC).
Key Features
• Zero-Lag SuperTrend — reacts instantly to price shifts
• Trend Strength Score (0–100) — identifies strong vs weak trend conditions
• Compression Detection — highlights breakout zones before the move happens
• Hybrid Labels (last 10 only) — 📈 Strong Buy, 📉 Strong Sell, 🟡 Weak Trend, ⚪ Compression
• Adaptive Volatility Bands — tighten during consolidation, widen during expansion
• Neon trend heatmap — clean visual confirmation without lag
This indicator is engineered for fast markets, early entries, confident exits, and superior trend validation.
If you scalp or trade intraday momentum, this tool instantly becomes one of the most powerful signals on your chart.
Structural Liquidity ZonesTitle: Structural Liquidity Zones
Description:
This script is a technical analysis system designed to map market structure (Liquidity) using dynamic, volatility-adjusted zones, while offering an optional Trend Confluence filter to assist with trade timing.
Concept & Originality:
Standard support and resistance indicators often clutter the chart with historical lines that are no longer relevant. This script solves that issue by utilizing Pine Script Arrays and User-Defined Types to manage the "Lifecycle" of a zone. It automatically detects when a structure is broken by price action and removes it from the chart, ensuring traders only see valid, fresh levels.
By combining this structural mapping with an optional EMA Trend Filter, the script serves as a complete "Confluence System," helping traders answer both "Where to trade?" (Structure) and "When to trade?" (Trend).
Key Features:
1. Dynamic Structure (The Array Engine)
Pivot Logic: The script identifies major turning points using a customizable lookback period.
Volatility Zones: Instead of thin lines, zones are projected using the ATR (Average True Range). This creates a "breathing room" for price, visualizing potential invalidation areas.
Active Management: The script maintains a memory of active zones. As new bars form, the zones extend forward. If price closes beyond a zone, the script's garbage collection logic removes the level, keeping the chart clean.
2. Trend Confluence (Optional)
EMA System: Includes a Fast (9) and Slow (21) Exponential Moving Average module.
Signals: Visual Buy/Sell labels appear on crossover events.
Purpose: This allows for "Filter-based Trading." For example, a trader can choose to take a "Buy" bounce from a Support Zone only if the EMA Trend is also bullish.
Settings:
Structure Lookback: Controls the sensitivity of the pivot detection.
Max Active Zones: Limits the number of lines to optimize performance.
ATR Settings: Adjusts the width of the zones based on volatility.
Enable Trend Filter: Toggles the EMA lines and signals on/off.
Usage:
This tool is intended for structural analysis and educational purposes. It visualizes the relationship between price action pivots and momentum trends.
Smart RSI MTF [DotGain]Summary
Are you tired of constantly switching between timeframes to check the RSI, only to miss the bigger picture?
The Smart RSI MTF (Multi-Timeframe) is designed to solve this exact problem. It is a streamlined chart overlay that monitors RSI conditions across up to 10 different timeframes simultaneously —from the 1-minute chart all the way up to the Monthly view.
This indicator removes the need for multiple open tabs and declutters your analysis by plotting signals directly on your main chart using a smart "visual hierarchy" system based on transparency.
⚙️ Core Components and Logic
The Smart RSI MTF relies on a sophisticated 3-layer logic to deliver clear, actionable context:
Multi-Timeframe Engine: The script runs 10 independent RSI calculations in the background. It checks standard intervals (5m, 15m, 1h, 4h, Daily, Weekly, Monthly) to ensure you never miss a momentum extreme on any scale.
Classic RSI Thresholds:
Overbought (> 70): Indicates price may be extended to the upside.
Oversold (< 30): Indicates price may be extended to the downside.
Smart Visibility System (The "Secret Sauce"): Not all signals are equal. A 5-minute Overbought signal is "noise" compared to a Weekly Overbought signal. This indicator automatically applies Transparency to differentiate importance:
Minutes = High Transparency (Faint).
Hours = Medium Transparency.
Days/Weeks/Months = No Transparency (Solid/Bold).
🚦 How to Read the Indicator
The indicator plots shapes (Labels by default) directly above or below the candles. The appearance tells you the direction and the timeframe significance:
🟥 RED SIGNALS (Overbought Condition)
Trigger: RSI is above 70 on a specific timeframe.
Location: Placed above the candle bar.
Meaning: Potential bearish reversal or pullback.
🟩 GREEN SIGNALS (Oversold Condition)
Trigger: RSI is below 30 on a specific timeframe.
Location: Placed below the candle bar.
Meaning: Potential bullish reversal or bounce.
👻 TRANSPARENCY (Signal Strength)
Faint/Ghostly: The signal comes from a lower timeframe (e.g., 5m, 15m). Use for scalping or entry timing.
Solid/Bright: The signal comes from a major timeframe (e.g., Daily, Weekly). Use for swing trading and identifying major market turns.
Visual Elements
Symbol Shapes: Fully customizable (Label, Diamond, Circle, Triangle, etc.) via settings.
Stacking: If multiple timeframes trigger at once, symbols will overlay, creating a visually denser and darker color, indicating Confluence .
Key Benefit
The goal of the Smart RSI MTF is to help traders instantly spot Confluence . When you see a faint short-term signal align with a solid long-term signal, you have identified a high-probability reversal zone without leaving your chart.
Have fun :)
Disclaimer
This "Smart RSI MTF" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
Gamma Conviction Oscillator - LITEGamma Conviction Oscillator (GCO LITE) – Free Version
A volume-weighted momentum oscillator designed for gamma-heavy instruments (SPY, TSLA, NVDA, MSTR, COIN, HOOD, etc.), offering a clean, educational tool for market analysis.
Core Features (LITE Version):
• Dynamic length with volatility-adjusted overbought/oversold bands
• Real-time 200-period trend filter (SMA/EMA/HMA selectable)
• Conviction-based coloring system:
– Bright Lime → high-conviction oversold (price > 200MA)
– Bright Red → high-conviction overbought (price < 200MA)
– Teal / Maroon → low-conviction extremes (counter-trend)
LITE Version Limitations:
• Oscillator panel only
• No divergence detection
• No multi-ticker gamma table
PRO Version (coming soon):
• Divergence detection
• Tighter thresholds for signals
• Built-in multi-ticker gamma table
Important Notice:
This script is for educational and informational purposes only. Not trading or financial advice. Use at your own risk. No repainting. Pure Pine v6.
Enjoy analyzing gamma flows responsibly.
© GammaBulldog – Nov 2025
Dashboard Principales sectores🔍 What This Dashboard Shows
Performance of the top 20 U.S. market sectors and ETFs (e.g., Technology, Energy, Financials, Biotechnology, Semiconductors, etc.).
Percentage change based on the selected chart timeframe:
Daily timeframe → daily change
Weekly timeframe → weekly change
Monthly timeframe → monthly change
Ticker symbol displayed next to each sector name.
Color-coded performance for quick interpretation:
🟩 Positive
🟥 Negative
🟨 Neutral
Stablecoin Total Index V3**Stablecoin Total Index V4 - Full History + Full Coverage**
This indicator provides the **best of both worlds**: long historical data AND complete stablecoin coverage.
**How it works:**
- **Before May 2025:** Manual sum of 35 major stablecoins (~90% coverage)
- **After May 2025:** Switches to STABLE.C index (100 stablecoins, 100% coverage)
**Why this approach?**
TradingView's official STABLE.C index was only created on May 19, 2025. This indicator gives you **years of historical data** going back to 2017-2018, then seamlessly transitions to the official index for complete accuracy.
**Note:** There is a ~$30B jump at the May 2025 transition point. This is NOT an error - it represents the ~65 smaller stablecoins that are included in STABLE.C but don't have individual CRYPTOCAP symbols for manual tracking.
**Pre-May 2025 Coverage (35 stablecoins):**
- **Tier 1:** USDT, USDC
- **Tier 2:** DAI, USDe, USDS, FDUSD
- **Tier 3:** TUSD, USDP, GUSD, FRAX, PYUSD, LUSD, BUSD
- **Tier 4 (2024-2025):** USD1, RLUSD, GHO, crvUSD, sUSDe, USDY, USDM
- **Tier 5 (Euro):** EURC, EURT, EURS
- **Tier 6 (DeFi):** USDD, MIM, DOLA, OUSD, alUSD, sUSD, cUSD
- **Tier 7:** HUSD, USDX, USTC
- **Gold-Backed:** PAXG, XAUT
**Post-May 2025:** Full STABLE.C (100 stablecoins)
**Features:**
- Green/Red color based on direction
- 20-period SMA
- Reference lines at $100B, $200B, $300B
**Best used on Daily timeframe or higher.**
deKoder | Ultra High Timeframe Moving Average & Log StDev BandsdeKoder | Ultra High Timeframe Moving Average & Log StDev Bands
Identify long-term statistical extremes and map the core trend with the deKoder | uHTF MA indicator. Designed for macro analysis, this tool uses ultra high timeframe moving averages and logarithmic standard deviation bands to frame price action, providing clear signals for when an asset is statistically cheap, fairly priced, or expensive.
KEY FEATURES
• Ultra High Timeframe (uHTF) Moving Average:
• Acts as a dynamic long term fair value equilibrium line. Choose from periods like 1-Year, 2-Year, or 'Long Time'.
• Select your MA type: SMA, EMA, Hull MA, or a Rolling VWAP .
• Automatically fetches optimal data (4H/D) for smoother plotting on lower timeframes.
• Probabilistic Logarithmic Bands:
• The bands are calculated using log-standard deviation , creating a framework that adapts to exponential growth. As such, your chart price scale should be set to log.
• ~68% of price action typically occurs between the ±1σ bands (fair value zone).
• Trading in the ±1σ to ±2σ channel is typical in a strongly trending market. Moves towards the ±3σ bands can indicate that the market is becoming overextended. Expect strong price moves here and pay attention for signs of reversal.
• Bitcoin Halving Timeline:
• Integrated vertical lines and labels for all Bitcoin halvings.
• Correlates technical extremes with fundamental scarcity events.
• 4-Year Cycle Visual Aid:
• The background color cycle highlights yearly changes.
• Red years have historically aligned with bear markets, while the subsequent green zone has marked accumulation phases.
• Note: The bands provide the primary information - the background color is a contextual guide based on historical patterns around the BTC 4 year halving cycle that may not persist in future. It's quite possible that the market will act differently going forward considering the new types participants such as ETFs and government reserve funds.
HOW TO USE & INTERPRET
• Fair Value & Extremes:
• Price between ±1σ Bands: The asset is trading within a statistically fair value range.
• Price at +2σ / +3σ Bands: The asset is statistically expensive. Statistically, the price is overextended in this region, although you do NOT want to fade it based only upon this information.
• Price at -2σ / -3σ Bands: The asset is statistically cheap. These zones have frequently coincided with the end of bear markets and profound long-term buying opportunities.
• Dynamic Support & Resistance:
• The uHTF MA and its bands tend to act as support and resistance areas of interest on daily, weekly and monthly charts.
INPUTS & CUSTOMIZATION
• Toggles : Master switch for the MA, Bands, and Halving markers.
• uHTF Moving Average Filter : Select instrument (default: BITSTAMP:BTCUSD), price source, MA length, and type.
• Colours : Fine-tune the appearance of all elements.
PRO TIPS
• While created for Bitcoin, this principle will work well on other high-growth assets and major indices.
• The most reliable signals occur on the Daily, Weekly and Monthly timeframes.
• This is a lagging, macro-filter indicator. It is not for timing short-term entries but for confirming the long-term trend and cycle phase.
"Be Fearful When Others Are Greedy and Greedy When Others Are Fearful." - The deKoder | uHTF MA is here to help you quantify that greed and fear on a macro scale.
QCO - "Science" Based OSC This indicator, called QCO - Quantum Confluence OSC, combines three different types of information into one oscillator: trend, momentum, and volume-based order flow. It is designed to show when these three elements line up in the same direction.
Here is how it actually works, step by step, in simple terms.
////triangle disabled///
First, it calculates three separate components:
1. Trend component
It uses an 8-period and a 21-period exponential moving average. When the fast EMA is above the slow one, the trend is considered up, and vice versa. It then measures how far apart the two EMAs are compared to the current volatility (ATR). This distance is turned into a number between -1 and +1.
2. RSI component
It takes the standard 14-period RSI, subtracts 50, and divides by 30 so the result also moves roughly between -1 and +1. This keeps RSI on the same scale as the other two parts instead of letting it dominate just because it can reach 0-100.
3. Cumulative Volume Delta (CVD) component
On every green candle it adds the volume, on every red candle it subtracts the volume, and keeps a running total. This running total is then normalized (turned into a z-score) over the last 100 bars on the current timeframe. If the MTF option is enabled, it also pulls normalized CVD from the 5-minute and 15-minute charts and mixes them in with lower weights (60% current, 30% 5-min, 10% 15-min). The final CVD value is again clamped between -1 and +1.
These three numbers are multiplied by fixed weights (normally 35% trend, 35% RSI, 30% CVD) and added together to create one combined raw score. A short 3-period EMA smooths this raw score slightly so the line is readable.
The weights can shift a little if the regime filter is turned on: in very volatile periods it gives more weight to trend and less to CVD; in very quiet periods it gives a bit more weight to RSI.
A separate check called “resonance” looks at whether at least two of the three components have the same sign. If all three agree strongly, resonance is marked as high and the background gets a gold tint.
Divergence protection (optional) looks back 10 bars: if price makes a higher high but the 1-minute CVD is weaker than its previous peak, sell signals are blocked. The same idea works in reverse for bullish divergence on lows.
Signals appear only when:
- The smoothed score is beyond the user-set threshold (default 1.0, adjustable)
- The basic trend (8/21 EMA) agrees with the direction
- RSI is not already overbought for buys or oversold for sells
- Divergence protection (if enabled) does not block the signal
Strong signals (gold triangles) require high resonance. Regular signals (green/red triangles) fire even with lower agreement.
The oscillator itself plots between roughly -1.5 and +1.5, with zero as the center line. A small table in the corner shows the current state of trend, RSI level, CVD direction, total score, active signal, and resonance level.
That is the complete mechanism. It does not repaint, uses only past and current data, and works on any timeframe or asset that has volume.
What actually makes this oscillator different from the thousands of others on TradingView comes down to a few practical choices that most scripts ignore:
- It forces real confluence. Most oscillators only look at one thing (price or momentum). This one requires trend, momentum, and order-flow-based volume to point the same way before it gives a strong signal. Weak or conflicting readings produce no gold signal or no signal at all.
- It uses properly normalized inputs. Trend strength, RSI, and CVD are all forced onto the same -1 to +1 scale using statistically sound methods (ATR for trend, fixed division for RSI, z-score for CVD). This means none of the three can bully the final score just because it naturally swings wider.
- It brings in higher-timeframe order flow without repainting. Pulling normalized 5-minute and 15-minute CVD into a 1-minute chart is rare in public scripts and usually done wrong. Here it is coded cleanly with request.security and blended with sensible weights.
- It adapts the weighting to the market regime. In choppy, low-volatility ranges it leans more on RSI; in fast trending or high-volatility moves it leans more on trend and less on short-term CVD noise. Very few free indicators do this automatically.
- It has working hidden divergence protection on the CVD, not just regular price/RSI divergence. Since CVD reflects actual buying and selling pressure, this filter catches a lot of traps that normal divergence detectors miss.
- Resonance filter is simple but powerful: it literally counts how many of the three components agree. This single extra condition turns a decent oscillator into one that only screams when the probability is genuinely higher.
- The final line is lightly smoothed (3-period EMA on the combined score), so it moves fast enough for scalping but does not jump on every tick like most raw oscillators.
Because of these points, the signal-to-noise ratio is noticeably higher than a plain RSI, Stochastic, MACD, or even most “smart money” scripts that just plot cumulative delta without normalization or confluence checks. The gold triangles especially do not appear often, but when they do, multiple independent market forces are aligned at the same time.
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### Colors and what they mean
The indicator uses color in three places: the line, the background, and the signal triangles. Each one tells you something specific.
**The main line (Quantum Score)**
- Bright cyan (#00BCD4): this is the actual oscillator line you watch.
- Above zero = overall bullish pressure.
- Below zero = overall bearish pressure.
- The farther from zero, the stronger the combined pressure.
Typical range is roughly -1.5 to +1.5. Crosses of zero are not automatic signals (it needs more conditions), but they show when the balance flips.
**Background color**
- Light gold with transparency: High Resonance. All three components (trend, RSI, CVD) are clearly agreeing. This is the highest-conviction state.
- Very light green: trend is up but resonance is only medium or low.
- Very light red: trend is down but resonance is only medium or low.
- Grayish when flat: no clear trend or everything is mixed.
**Signal triangles**
- Large gold triangle up (bottom of pane): STRONG BUY → high resonance + all filters passed.
- Large gold triangle down (top of pane): STRONG SELL → same but bearish.
- Normal-sized green triangle up: regular buy (conditions met but components do not fully agree).
- Normal-sized red triangle down: regular sell (same, weaker agreement).
**The small table (top-right corner)**
- Trend: UP (green) or DN (red)
- RSI: number + color (red if >70, blue if <30)
- CVD: BUY (green) / SELL (red) / NEUT (gray)
- Score: current value of the cyan line
- Signal: BUY / SELL / WAIT
- Resonance: HIGH (gold) or LOW (gray)
### How to read it in practice
1. Wait for the cyan line to be clearly above or below zero. Close to zero usually means indecision.
2. Look at the background first:
- Gold background → pay maximum attention, probability is highest.
- Green or red background → direction is still valid, but not as powerful.
3. When a triangle appears:
- Gold large triangles: enter aggressively if your higher-timeframe bias agrees. These are the cleanest moves.
- Normal green/red triangles: still usable, especially if price is at support/resistance or you already have a position and want to add.
4. No triangle at all, even if the line is far from zero? One of the filters is blocking (usually RSI already overbought/oversold or hidden CVD divergence). It is deliberately staying quiet.
5. Quick checklist before taking a gold signal:
- Cyan line on the correct side of zero
- Background gold
- Gold triangle just printed
- Table shows “BUY” or “SELL” and “HIGH” resonance
That combination happens only a few times per day on most pairs, sometimes less.
In short: ignore everything until you see gold background + line up/down. That is when trend, momentum, and actual order flow are all pushing the same way at the same time. Everything else is secondary information or lower-probability setups.
BUY condition (table turns to BUY + line usually turns yellow)
All five must be true on the same bar:
finalScore > baseSensitivity
(default threshold = 1.0, you can lower it to 0.6–0.8 if you want more signals)
emaFast (8) > emaSlow (21) → trendUp = true
rsi ≤ 70 → not overbought
If “Divergence Protection” is enabled → no bearish hidden CVD divergence in last 10 bars
(price ≥ highest high of last 10 bars AND cvd1m_norm < highest cvd1m_norm of last 10 bars − 0.3)
Internally the rawScore is positive and rising (because finalScore is a 3-period EMA of it)
When all of the above are true → the table shows “BUY” in green and the oscillator line usually (but not always) turns yellow because resonance is high.
SELL condition (table turns to SELL + line usually turns yellow)
All five must be true:
finalScore < −baseSensitivity
emaFast (8) < emaSlow (21) → trendDown = true
rsi ≥ 30 → not oversold
If “Divergence Protection” is enabled → no bullish hidden CVD divergence in last 10 bars
(price ≤ lowest low of last 10 bars AND cvd1m_norm > lowest cvd1m_norm of last 10 bars + 0.3)
rawScore negative and falling
When all are true → table shows “SELL”.
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The QCS oscillator is not copied from any single academic paper, but almost every technical choice inside it comes from established, tested concepts that appear repeatedly in serious quantitative and institutional trading literature. Here are the real scientific or evidence-based roots for each major part:
1. **EMA 8 and EMA 21 for trend**
Widely used in institutional trend-following systems (examples: Aberration, many CTA trend models). The 8/21 combination is close to the classic 10/20 or 12/26 that appear in papers on adaptive moving averages and has been back-tested extensively in futures and forex since the 1990s.
2. **Trend strength normalized by ATR**
Directly from Kaufman (1995, 1998), Schwager, and later from papers on “volatility-adjusted momentum” (e.g., “Normalized Momentum” studies). Dividing price separation by ATR turns the raw difference into a dimensionless, comparable score across assets and timeframes – a standard technique in academic risk-parity and volatility-scaled strategies.
3. **RSI re-centered and re-scaled to -1 / +1**
Comes from statistical normalization practices in quantitative finance. Raw RSI is bounded 0-100, so it distorts weighted combinations. Re-scaling it to the same units as the other components is exactly what portfolio-construction and factor-investing literature does when combining signals of different native scales (see Grinold & Kahn, “Active Portfolio Management”).
4. **Cumulative Volume Delta (CVD) with z-score normalization**
Order-flow and volume-delta research exploded after 2010 with papers from the CME Group, Easley et al. (VPIN, 2012), and many microstructure studies. Normalizing cumulative delta by its own rolling standard deviation is the standard way high-frequency and market-making firms turn raw delta into a usable stationary signal (see Hasbrouck, “Empirical Market Microstructure” and many follow-up papers).
5. **Multi-timeframe order flow blending**
Institutional delta scalping desks and prop firms routinely look at delta on 1 m, 5 m, and 15 m simultaneously. Blending higher-timeframe delta with lower weights is a direct copy of how professional cumulative-delta tools (Bookmap, Jigsaw, Sierra Chart clusters) filter noise.
6. **Regime-dependent weighting (high vol → trust trend more, low vol → trust oscillators more)**
Straight from regime-switching literature (Ang & Bekaert, Hamilton time-series regime models) and practical papers like “Trend Following in Different Volatility Regimes” (Clare, Seaton, etc.). The exact thresholds (1.3× and 0.7× average ATR) are simplified but follow the same logic used in many volatility-regime filters.
7. **Hidden divergence on volume delta instead of just price**
Comes from modern order-flow literature. Classic price/RSI divergence is well known, but hidden divergence between price and cumulative delta is a much stronger filter according to microstructure research and papers on “aggressive order flow” (e.g., studies using TAQ data and signed volume).
8. **Requiring pairwise agreement (the resonance score)**
This is a very simple form of factor concordance or ensemble agreement, a technique used in almost all professional quantitative models to reduce false positives. Academic factor-timing papers (Asness, Frazzini, etc.) and ensemble machine-learning literature show that requiring multiple independent signals to agree dramatically improves Sharpe ratio.
So while no single university paper is titled “Quantum Confluence OSC,” every single mechanism inside the indicator is copied from concepts that have been published, back-tested, and used for decades in real institutional or high-level quantitative trading. That is why it feels cleaner and more robust than 99% of retail indicators — it is built from the same building blocks that actual trading firms use, just simplified into one Pine Script.
Qosh GRC 3Qosh GRC 3
Comprehensive indicator for crypto market analysis with advanced correlation capabilities and wave strength assessment.
Core Components
Mid Index (Green line)
Dynamic middle line based on EMA with hesitation filter. Determines current market zone (Bull/Bear).
Settings:
• Length: 230 (default)
• Hesitation: 0.0001
Mid Index 2 (Black line)
Channel middle line based on highest/lowest values. Visibility depends on slope (>0.15% change over 4 bars).
Settings:
• Length: 20 (default)
SMA
Two moving averages for trend analysis:
• SMA A (red): 50 periods
• SMA B (blue): 200 periods
Main Bars with Open Interest
Bar color depends on Open Interest level:
• Blue = bullish bar
• Red = bearish bar
• Opacity inversely proportional to OI (higher interest → more saturated color)
opacity = reverseAndRound(((oi_smoothed * 100 / 1)) / 2)
bar_color = color.new(close >= open ? color.blue : color.red, opacity)
Oscillators (Lord Caramelo)
BTC Oscillator
Semi-transparent green oscillator based on BTCUSDT. Shows Bitcoin's base movement for comparison.
Main Oscillator (4 candles)
Price movement decomposition into 4 components:
• Verde (green) — bullish strength
• Branca (white) — neutral zone
• Vermelha (red) — bearish strength
• Azul (blue) — baseline
Wave Strength (Candle Strength)
Displayed on top of main oscillator:
• Aqua = bullish wave
• Maroon = bearish wave
Candle height = wave intensity (based on TCUD calculations).
Critical Levels
• 0.2 (green) — oversold zone
• 0.8 (purple) — extreme overbought
Critical Zone Indication
Background colors when oscillator breaches critical levels and price diverges from Mid Index >2%:
• Blue background = bullish extremity
• Red background = bearish extremity
Correlation
Correlation A (primary)
Correlation of current asset with selected ticker (default BTCUSDT). Displays scaled candles of correlating asset.
Correlation B and C (additional)
Correlation calculation between two arbitrary ticker pairs.
Information Table
Top right corner displays:
• Movement strength of Mid Index and Mid Index 2
• Correlation values A/B/C
• Current market state (Bull/Bear)
━━━━━━━━━━━━━━━━━━━━━━
HVPro Style IndicatorHVPro Style Indicator – Historical Volatility + Volume
HVPro Style Indicator is a combined volatility-and-volume tool designed to help traders visualize market expansion and contraction phases.
It calculates Historical Volatility (HV) using log-returns and a customizable lookback period, then smooths the result for a cleaner trend signal.
The script also includes a volume histogram, scaled by a multiplier, with bar colors changing based on whether volatility is rising or falling.
This makes it easy to spot moments when both volume and volatility align, often signaling trend transitions, breakouts, or exhaustion.
Features
✔ Historical Volatility calculation (annualized)
✔ Smoothed HV for cleaner visual trends
✔ Volume histogram with customizable multiplier
✔ Volume bar color shifts based on HV direction
✔ User-controlled visibility for both HV and volume
✔ Lightweight and optimized for all timeframes
How to Use
Rising HV (green volume bars) can indicate trend expansion or breakout momentum.
Falling HV (red bars) suggests contraction, ranging conditions, or volatility cooldown.
Watch for volatility shifts combined with volume spikes for potential trade entries.
MarketMafia Internals Overlay (0.5 steps, pure overlay)This indicator is designed to give you the over all heartbeat of the market for SPY,QQQ and IWM. Designed to give more confirmation on the internals of the markets direction to help keep you on the right side of the market
Second chartThis is a trend-following momentum confirmation indicator designed to filter trades in the direction of the dominant trend while timing entries using RSI momentum shifts.
Best suited for:
✅ Forex & Crypto
✅ 5m – 1H timeframes
✅ Trend continuation strategies
⚙ Inputs Explained
▸ Trend MA Length
Controls the EMA trend filter
Lower value (20–30) → faster, more signals
Higher value (50–100) → slower, stronger trend filter
▸ RSI Length
Controls responsiveness of momentum
Standard setting: 14
Lower → aggressive entries
Higher → conservative entries
▸ Show Buy/Sell Signals
ON → Displays BUY/SELL labels
OFF → Hides all trade signals
▸ Trend Background
ON → Green = Bullish / Red = Bearish
OFF → Clean chart mode
🧠 Signal Logic Breakdown
Trade By Design – Free Edition (v0.1)A clean, high-performance session & liquidity framework designed to bring structure, clarity, and precision to your intraday trading.
This indicator is inspired by the Trade Travel Chill – Trade By Design methodology and provides a free, simplified version of the core concepts—ideal for day traders seeking to understand market structure, session behavior, and intraday liquidity dynamics.
🔍 What This Indicator Does
The Free Edition automatically maps the most important intraday levels and contextual factors that drive daily price delivery.
Key Features:
• HOW / LOW
• IHOD / ILOD / 50% Asia
• HOD / LOD
• PVSRA Candles
• Vector candles
• Perp autooverride
⚠️ Version Notice (v0.1 – Early Release)
This is an early, not all features are active yet.
This version focuses purely on the core structure, keeping everything lightweight and easy to use.
⚠️ Disclaimer
This is an unofficial free re-creation inspired by public concepts taught in the Trade By Design methodology.
It is not endorsed, affiliated with, or sponsored by TradeTravelChill.club or its owners.
If you enjoy this indicator and want the complete methodology, mentorship, and full system, please support the original creators by purchasing the official course at:
👉 tradetravelchill.club
EMCT - Explosion Matrix / Candle TechScript Purpose
The "Explosion Matrix • Micro-Scalp Edition" is a highly aggressive 1-minute scalping indicator designed specifically for Bitcoin (and other crypto) trading. It detects three types of high-probability price action patterns in real time: reversal patterns (trend changes), continuation patterns (trend follow-through), and micro patterns (tiny scalp setups), with a special focus on visually highlighting strong rejection candles like Shooting Stars and Hammers.
Core Detection Logic
The script identifies classic and enhanced candlestick patterns (Shooting Star, Hammer, and large-body "John Wick" candles) by analyzing wick-to-body ratios, close position within the range, and candle size relative to ATR. It classifies each pattern as either reversal (against the trend) or continuation (with the trend) based on EMA alignment (8-21-50) and price position.
Trend & Momentum Context
Uses a triple EMA system (fast=8, mid=21, slow=50) to determine strong/weak trends. Momentum is checked via recent price direction. This context decides whether a rejection candle acts as reversal (at exhaustion) or continuation (pullback in strong trend).
Optional Confirmation Filters
Cumulative Volume Delta (CVD) Z-Score: measures aggressive buying/selling pressure; can be required for signals
Volume surge detection: filters for candles with significantly above-average volume
Scoring & Visual System
Each detected pattern receives a score (2–9+) based on strength, reversal/continuation type, and confirmation filters. Higher scores = brighter, larger, more opaque colored frames drawn around the candle(s). Frames are adaptive in size: largest for reversals, medium for continuations, smallest for micro signals.
Visual Output
Draws colored rectangular "explosion frames" directly on the chart around triggering candles. Labels show direction and type (REV↑, CON↓, ↑/↓) with optional score. Intensity-based coloring ranges from mild to extreme bull/bear.
Additional Features
Includes a separate CVD Z-Score subplot with threshold lines, customizable visual styles (Adaptive/Uniform/Minimal), and built-in alerts that fire separately for reversal and continuation patterns. Optimized for maximum detection frequency in fast-moving 1-minute crypto markets
HTF Candles Display MCThis indicator allows you to put up the live price from any timeframe to any timeframe.
You can choose how many candles it showcases.
Stay up to date with your power of 3 at all times
B/B Timeframe This indicator showcases the current state of every timeframe. (Bullish / Bearish)
Keeps it in check at all times and changes the changes are happening live.
Felix-Style Breakout ScannerThis stock scanner will scan stocks back on the 50MA, heartbeat pattern and buy volume to detect a good buying opportunity.
