GS Quantum Radar [Elite Aesthetic - Bilingual]GS Quantum Radar / GS 量子雷達
Overview / 概述
Inspired by the quantum physics concept of "Ghostly action at a distance," the GS Quantum Radar is a high-end quantitative tool designed to capture the hidden correlations between two entangled assets (e.g., 2330.TW vs. TSM, or NVDA vs. AI sector). It identifies "Quantum Tension"—statistical deviations that signal imminent mean reversion or breakout opportunities.
受量子力學中**「幽靈般的遠距作用」**啟發,GS 量子雷達是一款專為捕捉資產間隱藏關聯而設計的高階量化工具(例如台積電與 TSM ADR,或 NVDA 與 AI 類股)。它能識別「量子張力」——即統計學上的異常偏離,預示著即將到來的均值回歸或突破機會。
Core Logic / 核心邏輯
The indicator operates on Statistical Arbitrage principles using a dynamic Z-Score model:該指標基於統計套利原理,採用動態 Z-Score 模型:
Entanglement Strength (Correlation) / 糾纏強度(相關性): It measures how synchronized the two assets are. Signals are only valid when the correlation is high, ensuring you aren't trading noise.衡量兩項資產的同步程度。僅在相關性高時訊號才有效,確保您避開市場雜訊。
Quantum Tension (Z-Score) / 量子張力 (Z-Score): Using the formula $Z = \frac{x - \mu}{\sigma}$, it calculates the price ratio deviation.透過公式 $$Z = \frac{x - \mu}{\sigma}$$
計算價差比率的偏離值。
$Z > +2$ (Red Column / 紅色柱狀): Particle A is overstretched (Overvalued). / 資產 A 擴張過度(相對高估)。
$Z < -2$ (Green Column / 綠色柱狀): Particle A is compressed (Undervalued). / 資產 A 壓縮過度(相對低估)。Shutterstock探索
Key Features / 主要功能
Bilingual Cyberpunk Dashboard / 中英雙語賽博龐克儀表板: Real-time monitoring of network status, entanglement strength, and tension levels with intuitive scale bars.即時監控網路狀態、糾纏強度與張力水平,配備直觀的比例尺進度條。
Aesthetic UI / 視覺美學: Designed with a Neon-Tokyo palette. Optimized for Dark Mode with a focus on high-density information display.採用霓虹東京配色。專為深色模式優化,專注於高密度資訊顯示。
Taiwan Style Color / 台股配色慣例: Red for Bullish/Up, Green for Bearish/Down.符合台股習慣:紅漲、綠跌。
How to Use / 如何使用
Select your pair / 選擇對象: Load the script on your primary chart (e.g., 2330.TW) and input the "Entangled Particle" (e.g., NASDAQ:TSM) in settings.在主圖表(如 2330.TW)掛載腳本,並在設定中輸入「糾纏對象」(如 NASDAQ:TSM)。
Monitor the Status / 監控狀態: Look for "STRONG BUY" or "TAKE PROFIT" advisories on the dashboard.觀察儀表板上的「強力買進 (STRONG BUY)」或「獲利了結 (TAKE PROFIT)」建議。
Execute / 執行交易: Enter when the "Quantum Tension" hits the $\pm 2.0$ thresholds while "Entanglement" is full.當「量子張力」達到 $\pm 2.0$ 臨界點且「糾纏強度」滿格時進場。
Disclaimer / 免責聲明Trading involves significant risk. This indicator is a statistical tool for decision support and does not guarantee profits. Use with proper risk management.交易涉及重大風險。本指標為輔助決策的統計工具,不保證獲利。請配合適當的風險管理使用。
M-oscillator
ARPAKET_FLOW_CRYPTOArpaket_FLOW - TradingView Script
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## 📝 Short Description (for subtitle)
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Advanced Money Flow Indicator with Multi-Asset Support, Whale Detection & Multi-Timeframe Analysis
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## 📄 Full Description (copy below this line)
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### 🌊 ARPAKET_FLOW - Smart Money Flow Indicator
**Arpaket_FLOW** is a comprehensive money flow indicator designed to help traders visualize whether smart money is flowing INTO or OUT of the market, along with the intensity of that flow. This indicator combines multiple proven technical analysis methods into a single, easy-to-read tool for making informed buy/sell decisions.
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### 🎯 What Does This Indicator Do?
This indicator answers the most critical question in trading: **"Is money flowing into or out of this asset?"**
By combining volume analysis with price action, Arpaket_FLOW calculates a **Flow Score (0-100)** that tells you:
- **Above 70**: Strong money inflow → Bullish bias
- **50-70**: Moderate inflow → Cautiously bullish
- **30-50**: Neutral zone → Wait for confirmation
- **Below 30**: Strong money outflow → Bearish bias
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### 🔬 How It Works
Arpaket_FLOW combines **6 powerful indicators** into one unified score:
| Component | Weight | Purpose |
|-----------|--------|---------|
| **Volume Ratio** | 25% | Detects unusual volume activity |
| **Money Flow Index (MFI)** | 20% | Measures buying/selling pressure with volume |
| **Chaikin Money Flow (CMF)** | 20% | Identifies accumulation/distribution |
| **On-Balance Volume (OBV)** | 15% | Tracks volume flow direction |
| **RSI Momentum** | 10% | Confirms price momentum |
| **VWAP Deviation** | 10% | Institutional price reference |
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### ✨ Key Features
#### 🎛️ Multi-Asset Adaptation
- **Crypto Mode**: Higher volatility thresholds + Whale detection
- **Low Liquidity Stocks**: Adjusted sensitivity for thin markets (SET Index, Small Caps)
- **High Liquidity Markets**: Standard settings for Forex, Major Indices
#### ⏱️ Multiple Trading Styles
- **Scalping** (1-5 min): Ultra-fast signals with noise filtering
- **Day Trading** (15min-1H): Balanced speed and reliability
- **Swing Trading** (4H-Daily): Multi-timeframe confirmation
- **Position Trading** (Weekly+): Long-term flow analysis
#### 🐋 Whale Detection (Crypto)
Automatically detects unusual large-volume activity that may indicate whale accumulation or distribution. When volume exceeds 3x the average, a whale marker (🐋) appears on the chart.
#### 📊 Multi-Timeframe Panel
For Swing and Position traders, view flow direction across 4 timeframes (1H, 4H, Daily, Weekly) simultaneously to ensure alignment before entering trades.
#### 📋 Real-Time Dashboard
A clean dashboard displaying:
- Flow Direction (Inflow/Outflow/Neutral)
- Flow Score (0-100)
- Flow Strength (Weak/Moderate/Strong/Extreme)
- Volume Status (Normal/Surge/Whale)
- MFI & CMF readings
- Overall Signal (Buy/Sell/Neutral)
#### ⚠️ Divergence Detection
Automatically identifies bullish and bearish divergences between price and money flow, providing early reversal warnings.
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### 📖 How To Use
#### Basic Usage:
1. **Select your Market Type** in settings (Crypto/Low Liquidity/High Liquidity)
2. **Select your Trading Style** (Scalping/Day Trading/Swing/Position)
3. **Watch the histogram**:
- Green bars = Money flowing IN (bullish)
- Red bars = Money flowing OUT (bearish)
- Bar height = Flow intensity
#### Signal Interpretation:
| Signal | Meaning | Suggested Action |
|--------|---------|------------------|
| 🟢 Green Triangle | Strong buy signal | Consider long entry |
| 🔴 Red Triangle | Strong sell signal | Consider short/exit |
| 🐋 Whale Icon | Large player activity | Watch for direction |
| DIV Label | Divergence detected | Potential reversal |
#### Best Practices:
- Use **higher timeframes** for trend direction
- Use **lower timeframes** for entry timing
- Wait for **MTF alignment** (3+ timeframes agreeing) for higher probability trades
- Combine with support/resistance levels for optimal entries
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### ⚙️ Settings Guide
#### General Settings
- **Market Type**: Match to your traded asset
- **Trading Style**: Match to your timeframe
- **Sensitivity**: Conservative (fewer signals) → Aggressive (more signals)
#### Period Settings
- **Fast Period**: Short-term calculation (default: 7)
- **Slow Period**: Long-term calculation (default: 21)
- **Signal Smoothing**: Reduces noise (default: 5)
#### Alert Settings
- **Buy Threshold**: Score level for buy signals (default: 70)
- **Sell Threshold**: Score level for sell signals (default: 30)
- **Volume Surge Multiplier**: Volume spike detection (default: 2.0x)
- **Whale Multiplier**: Whale detection threshold (default: 3.0x)
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### 🔔 Available Alerts
1. **Strong Buy/Sell Signal** - When confirmed signals trigger
2. **Enter Buy/Sell Zone** - When score crosses thresholds
3. **Whale Activity** - Accumulation or distribution detected
4. **Bullish/Bearish Divergence** - Price/flow divergence
5. **Volume Surge** - Unusual volume spike
6. **MTF Alignment** - Multiple timeframes agree
7. **Extreme Conditions** - Score above 90 or below 10
8. **Flow Reversal** - Direction change confirmed
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### 📈 Recommended Combinations
This indicator works best when combined with:
- **Support/Resistance levels** for entry points
- **Trend lines** for direction confirmation
- **Moving Averages** (EMA 20/50/200) for trend context
- **Price Action patterns** for timing
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### ⚠️ Disclaimer
This indicator is a tool to assist in trading decisions, not a guarantee of profits. Always:
- Use proper risk management
- Never risk more than you can afford to lose
- Backtest before live trading
- Consider multiple factors before entering trades
Past performance does not guarantee future results. Trading involves substantial risk of loss.
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### 🙏 Credits & Acknowledgments
This indicator combines concepts from:
- Money Flow Index (Gene Quong & Avrum Soudack)
- Chaikin Money Flow (Marc Chaikin)
- On-Balance Volume (Joe Granville)
- Volume-Weighted Average Price (Institutional standard)
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### 💬 Feedback
If you find this indicator helpful, please leave a comment or like! Your feedback helps improve future updates.
For questions or suggestions, feel free to comment below.
**Happy Trading!** 🚀
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## 🏷️ Suggested Tags (for TradingView)
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moneyflow, volume, smartmoney, whaledetection, crypto, stocks, forex, mfi, cmf, obv, vwap, multitimeframe, buysellindicator, flowanalysis, accumulation, distribution
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## 📸 Suggested Screenshots to Include
1. **Main Chart View** - Show the indicator with histogram and dashboard
2. **Buy Signal Example** - Zoom in on a successful buy signal
3. **Whale Detection** - Show crypto chart with whale markers
4. **MTF Panel** - Display multi-timeframe alignment
5. **Settings Panel** - Show available customization options
eXquTrading FIB (Auto)eXquTrading FIB (Auto) — EMA144/169 Cloud + 8X Score + Auto Fibonacci (Single Set)
This indicator uses the EMA144/169 Cloud to define the market regime (LONG/SHORT/NEUTRAL), then generates BUY/SELL signals based on an 8-factor scoring system, while automatically drawing one Fibonacci set and extending it to the right so labels remain readable.
Features
Trend Regime (EMA144/169 Cloud):
Above cloud = LONG, below cloud = SHORT, inside cloud = NEUTRAL
8X Score Signals: confirmations from RSI, MACD, Stoch, Momentum, Volume, MFI, CCI, OBV(EMA)
Noise-reduction filters:
ATR-based cloud distance filter (reduces chasing signals)
ATR-based impulse candle filter (blocks oversized candles)
Cooldown (limits back-to-back signals)
Auto Fibonacci (Single Set):
Rebuilds on trend flip / fib invalidation / (optional) when a signal appears and no fib exists
Levels: -1.618, -1, -0.382, 0, 0.382, 0.5, 0.618, 1
Fib lines extend to the right on every bar (labels stay clean)
Settings (Quick tips)
Increase Minimum Confirmations (Score) → fewer but cleaner signals
Tighten ATR filters in choppy markets, loosen slightly in strong trends
Increase Right Pad Bars to keep right-side labels readable
Repaint / Execution Mode
Default: bar close only (more reliable)
Optional “Early Signal (Repaint Risk)” enables intrabar signals (faster, but may repaint)
Alerts
8X SCALP BUY
8X SCALP SELL
Disclaimer
For analysis/educational purposes only. Not financial advice. Always test settings on your own symbols and timeframes.
EduVest - IFA-VP Context v3.0 [NEON Edition]📊 IFA-VP Context v3.0
A powerful market context indicator combining Volume Profile analysis with SMA trend detection. Designed with a cyberpunk-inspired NEON color palette for maximum visibility on dark charts.
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🎯 WHAT IT DOES
This indicator helps you understand "where you are" in the market by analyzing:
• Volume Profile (POC, VAH, VAL)
• SMA Alignment (20/50/200)
• Context Score (0-100)
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⚡ KEY FEATURES
🔹 NEON Color Palette - Cyan/Pink/Gold colors optimized for dark mode
🔹 Context Score - Visual score bar (████████░░) shows market strength
🔹 Cross Signals - GOLDEN CROSS / DEATH CROSS with HUGE labels
🔹 POC Reaction - Track price interaction with Point of Control
🔹 Status Panel - All-in-one dashboard with trend, zone, and hints
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📺 THREE DISPLAY MODES
• Impact Mode - Full visual experience with badges, ribbons, and glow effects
• Minimal Mode - Clean SMA lines and VP levels only
• Pro Mode - Complete VP histogram display
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📈 SIGNALS EXPLAINED
▲ GOLDEN CROSS (20×50) - Short-term bullish momentum
▼ DEATH CROSS (20×50) - Short-term bearish momentum
⭐ MAJOR GOLDEN (50×200) - Long-term bull market signal
💥 MAJOR DEATH (50×200) - Long-term bear market signal
Context Badges:
⚡ SUPER BUY/SELL (Score 80+)
🔥 POWER BUY/SELL (Score 70-79)
💪 STRONG BUY/SELL (Score 60-69)
⏸ WAIT (Score <50)
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⏰ RECOMMENDED TIMEFRAMES
✅ 15min - 4H (Best for day trading & swing)
⚠️ 1min-5min (Noisy, use with caution)
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⚠️ DISCLAIMER
This is NOT a buy/sell signal indicator.
It shows market CONTEXT to help your own trading decisions.
Always use proper risk management and combine with your own analysis.
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🏷️ Tags: volume profile, sma, context, trend, neon, dark mode, poc, value area
Spot Taker Flow & Early Warning System How Does This Code Detect a "Fake" Rise?
Spot VWMA Logic: The moving average looks not only at the price but also at how much "spot volume" is circulating at that price.
Fake Rise Scenario: If the price (candles) is going up but the Yellow (Binance) or Blue (Coinbase) lines we've drawn are below it, or the price is drooping to the level of these lines; know that the rise is being triggered by bots in futures trading, not spot buyers. This is a "Fake" rise.
Confirmed Rise: If the price is above all these L1 lines, there may be "real money behind it".
Quantum MACD📈 STRENGTHS:
1. Adaptability to Any Asset
Automatically adjusts overbought/oversold levels according to each asset's volatility
No manual level adjustment needed for different instruments
2. 4 Intelligent Zone Calculation Methods
Percentiles: Considers historical distribution of MACD values
Standard Deviation: Statistically justified levels
ATR: Accounts for market volatility
Bollinger Bands: Classic proven method
3. Enhanced Visualization
Gradient zone fill (intensity depends on distance to level)
Four histogram colors like in standard MACD
Clear solid divergence lines with markers
Information panel with key data
4. Multiple Signals and Alerts
Divergences (bullish/bearish)
Entry/exit from overbought/oversold zones
MACD and signal line crossovers
Strong signals (when approaching extreme levels)
5. Flexible Configuration
Ability to enable/disable any elements
Period adjustment for different methods
Color scheme selection
Sensitivity adjustment via multipliers
6. Professional Functions
Table with extended information
Signal strength calculation
Distance to level indicators
Display of historical MACD minimums/maximums
📉 WEAKNESSES:
1. High Complexity for Beginners
Many settings can confuse novice traders
Difficulty choosing optimal zone calculation method
Requires time to learn all functions
2. Possible Chart Overload
Multiple lines and fills can clutter the chart
Lines may overlap with many divergences
Information panel occupies screen space
3. Calculation Delays
Use of large periods (up to 500 bars) for calculations
Some methods (percentiles) require data accumulation
Possible lags on lower timeframes
4. Risk of Over-Optimization
Too fine-tuning for specific assets
Possibility of fitting parameters to historical data
Need to review parameters when trends change
5. Dependence on Chosen Method
Different methods can give contradictory signals
No single "perfect" method for all situations
Requires testing each method on specific assets
6. Pine Script Limitations
Inability to implement exact percentiles without arrays
Performance limitations with complex calculations
Some visual effects cannot be implemented perfectly
7. False Signals
In strong trends, indicator may remain in overbought/oversold zones for long periods
Divergences sometimes form late
Frequent line crossovers in sideways markets
⚖️ BALANCE OF STRENGTHS AND WEAKNESSES:
Who It's Suitable For:
✅ Experienced traders who need advanced analysis tools
✅ Analysts studying indicator behavior on different assets
✅ Swing traders working on medium timeframes
✅ Those trading multiple assets who need automatic adaptation
Who It's Not Suitable For:
❌ Beginners just starting with technical analysis
❌ Scalpers who need minimal delay
❌ Traders preferring minimalistic indicators
❌ Those wanting a "magic button" without configuration
💡 USAGE RECOMMENDATIONS:
Start Simple: Use only one zone calculation method (e.g., "Standard Deviation")
Test: Check each method on your asset's historical data
Simplify: Disable unnecessary visual elements for cleaner charts
Combine: Use this indicator with others (trend, volume-based)
Observe: Monitor indicator behavior in different market conditions (trend, range)
🎯 CONCLUSION:
Quantum MACD is a powerful professional tool for traders willing to invest time in learning and configuring it. It solves the key problem of standard MACD - static overbought/oversold levels.
Main Advantage: adaptation to any asset without manual adjustment.
Main Disadvantage: complexity for beginners and risk of chart overload.
The indicator performs best on daily and weekly timeframes when trading stocks, cryptocurrencies, and currency pairs with good liquidity.
Smooth Fear/Greed Waves (Cipher-style)The indicator is a Oscilator that helps to check when to buy or sell and asset based on the Fear and Greed index and also based on the oversold or overbought Threshold.
Liquidity-Weighted RSILW-RSI scales the classic RSI by relative volume to highlight when momentum happens under unusually high participation.
Formula:
LW-RSI = RSI × (Current Volume / 20-bar Avg Volume)
• The 0 → Threshold band marks the “normal” zone.
• Values above Threshold indicate an abnormal liquidity/participation regime (not a buy/sell signal by itself).
• The orange line is the moving average of LW-RSI itself to show whether participation spikes are persistent or just noise.
LW-RSI does not predict direction. Use it as a context/confirmation tool alongside structure, VWAP, and volume profile.
BBP Oscillator V1 + Multiple Time FrameBull Bear Power + HTF/LTF Filter (BBP+)
Overview:
BBP+ is a minimalist Bull Bear Power histogram designed to help traders identify potential bearish signals while filtering them with current and higher timeframe trends. An optional lower timeframe (LTF) filter can further reduce false signals, without displaying extra markers on the chart.
Inputs:
BBP Length: EMA length for BBP calculation (smaller → more sensitive, larger → smoother).
EMA Trend (Current TF): Current timeframe trend filter (signals only when bearish).
HTF Timeframe & EMA: Higher timeframe trend filter (optional).
Enable HTF Filter: Toggle HTF trend filter.
LTF Timeframe & Enable LTF Filter: Optional filter to reduce false signals; no visual output.
Show Signals: Toggle to show/hide main bearish signals.
Signal Logic:
Main bearish signals appear when:
Current trend is bearish
BBP momentum is decreasing
Optional HTF trend filter passes
Optional LTF momentum filter passes
Important Notes
Indicator is not a guaranteed profit tool; use for analysis only.
Past performance does not indicate future results.
LTF filter does not appear visually, only helps filter main signals.
Adjust BBP Length, EMA Trend, and HTF/LTF settings according to market volatility and timeframe.
TradeChillOut Stc icon ProfessionalHtf L 80 F 20 S50
Ribbon
1 L 180 F144 S3500
2 L10 F20 S50
3L160 F20 S50
4L96 F20 S50
5L 98 F20 S 50
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Linear Regression R-SquaredCalculates the least squares linear regression R-squared values for the specified data period. Values range from zero to one.
Smart Money Volume Index [AlgoAlpha]🟠 OVERVIEW
This script measures buying and selling interest by comparing how price behaves on rising volume versus falling volume. It separates what is often called “smart money” activity from more passive volume and turns that relationship into a normalized index. The result is an oscillator that shows whether buyers or sellers are in control, how strong that control is, and when interest reaches extreme levels that tend to matter for reversals or continuations.
🟠 CONCEPTS
The calculation starts by splitting volume flow into two streams. Positive Volume Index (PVI) reacts when volume expands, while Negative Volume Index (NVI) reacts when volume contracts. Each stream is detrended with a long EMA and passed through an RSI calculation to express relative pressure. These two RSIs are then compared as ratios to estimate buy-side and sell-side interest. The values are summed over a rolling window and normalized against historical peaks so the output stays bounded and comparable across markets. In simple terms: relative behavior on high-volume vs low-volume bars defines interest , and normalization makes that interest readable over time.
🟠 FEATURES
Two display modes: Compare (separate buy and sell interest) and Net (single combined oscillator)
High-interest threshold zones with visual highlights
Alert conditions for threshold crosses and zero-line shifts
🟠 USAGE
Setup : Add the script to your chart. Choose Net mode for a clean momentum-style read, or Compare mode to see buy and sell interest separately. Start with the default periods, then adjust the Index Period to control how much history is included.
Read the chart : Values above zero mean buy-side interest dominates; below zero means sell-side interest dominates. In Compare mode, the green line tracks buying interest and the red line tracks selling interest. When either side pushes beyond the high-interest threshold, participation is elevated and moves tend to be more meaningful.
Settings that matter : Increasing the Index Period smooths the index and focuses on longer participation trends. Changing the Volume Flow Period alters how sensitive the RSI-based pressure is. The High Interest Threshold controls how selective extreme signals are and directly affects alerts and zone highlights.
RSI Momentum SuperTrend█ OVERVIEW
RSI Momentum SuperTrend is a momentum-based trend oscillator that combines classic RSI with a SuperTrend mechanism calculated directly on RSI values. Instead of using price-based ATR, the indicator measures volatility of RSI itself, allowing dynamic adaptation to different markets and timeframes.
It is fast and responsive, designed for early detection of momentum shifts. It works especially well for divergence analysis, pullbacks within higher timeframe trends, and as a confirmation tool in contrarian strategies.
█ CONCEPT
The indicator was created to combine:
- the sensitivity of an oscillator (RSI)
- the stability of the SuperTrend mechanism
The key element is calculating “ATR” directly on RSI changes and then normalizing it. This allows:
- automatic adaptation to the instrument’s behavior
- consistent performance across different markets and timeframes
Dynamic upper and lower bands (RSI ± adaptive range) act as momentum control levels.
A trend change occurs only after these levels are broken, helping to reduce market noise.
█ FEATURES
Data source:
- RSI (default: close)
- RSI length
- EMA smoothing
Additional:
- Optional raw RSI display
(can be used to build custom strategies and to compare with the SuperTrend line)
Calculations:
- EMA-smoothed RSI
- Adaptive ATR calculated on RSI changes
- Volatility normalization
- Dynamic bands: RSI ± (ATR × multiplier)
- Trailing mechanism:
- Levels are dynamically updated according to trend direction
- Direction changes only after they are broken
- Trend change logic:
- Down → Up: RSI > upper band
- Up → Down: RSI < lower band
Visualization:
- RSI line with dynamic trend coloring
- SuperTrend line on RSI
- Gradient fill between RSI and ST
- Candle coloring according to trend
- Overbought / Oversold zones with fill
- Fog on Price (optional). Trend direction visualization directly on the price chart
Alerts:
- Trend change to UP
- Trend change to DOWN
█ HOW TO USE
Adding:
Paste the code into Pine Editor or search for “RSI Momentum SuperTrend”
Main settings:
- RSI Length → default 14
- RSI Smoothing → signal smoothing
- ATR Length (on RSI) → adaptation control
- ATR Multiplier → main sensitivity parameter
- Show Raw RSI → raw RSI preview
- Color Candles → candle coloring according to trend
- Fog on Price → trend visualization on price
Interpretation:
- Green color = uptrend
- Red color = downtrend
- Higher multiplier = fewer signals, higher quality
- Lower multiplier = faster reaction, more signals
█ APPLICATIONS
It is recommended to use the indicator together with other technical tools.
If you want to use it not as a trend indicator but as an entry tool, consider combining it with a slower trend indicator (e.g. classic SuperTrend). In this setup:
- the main trend is defined by the slower indicator
- entries are taken only in its direction
- RSI Momentum ST helps to identify local pullbacks within the trend
Ideal for:
- Divergences
e.g. price makes higher highs while RSI Momentum ST makes lower highs → possible trend weakness
similarly: price goes down while the indicator goes up
- Pullbacks in higher timeframe trends
e.g. H4 uptrend, while on M15 RSI Momentum ST enters oversold zone → potential end of pullback
- Contrarian strategies
e.g. strong downtrend, while RSI Momentum ST starts turning up → possible market reaction
Early detection of momentum shifts
Best combined with:
- Support and resistance levels
- Market structure (HH, HL, LH, LL)
- Volume
- Price action
- Higher timeframe analysis
█ NOTES
- Works on all markets and timeframes
- Faster than classic price-based trend indicators
- Best results are achieved when used with market context
- Not a standalone trading system
Apex Wallet - Ultimate Trend Meter: 9-in-1 Multi-Layer Momentum Overview The Apex Wallet Trend Meter is an advanced decision-making dashboard designed to provide a comprehensive view of market conditions without cluttering your main price chart. It synthesizes complex data from 9 different technical sources into a clean, horizontal visual grid, allowing traders to spot confluence at a single glance.
The Power of Confluence Instead of switching between multiple oscillators, this tool monitors:
Triple EMA Structure: Tracks Short, Medium, and Long-term trend directions.
Momentum Suite: Real-time status of RSI, Stochastic, and StochRSI.
Advanced Analyzers: Includes MACD (Line/Signal), TDI (Traders Dynamic Index), and the Andean Oscillator for trend exhaustion and volatility states.
Smart Delta Net: A sophisticated Volume Delta engine that filters market noise through customizable modes (Buy/Sell, Neutral, or Automatic).
Key Features:
Adaptive Trading Presets: One-click selection for Scalping, Day-Trading, or Swing-Trading. The script automatically recalibrates all 9 indicator periods to fit your timeframe.
Market Bias Filtering: Indicators are color-coded based on their alignment with the global market trend. Signals only turn Bullish or Bearish when they align with the master trend EMA.
Dynamic Delta Grid: Displays scaled net volume values directly inside the grid for precise institutional flow tracking.
Fully Customizable UI: Toggle any layer on/off and adjust the layout density to match your workspace.
How to use: Look for "Vertical Confluence." When multiple layers turn the same color simultaneously, it indicates a high-probability momentum shift.
Dual RSI Spread Strategy [Custom]
概述
这是一个综合性的动量交易工具,结合了双重 RSI 交叉系统与经典 RSI 背离检测功能。该指标旨在通过分析短期与长期动量的“剪刀差”来识别潜在的超买/超卖区域,并辅以顶底背离信号作为反转确认。
核心功能与逻辑
1. 双重 RSI 差值信号 (Dual RSI Spread) 该策略同时计算两条 RSI 曲线:
短周期 RSI (默认 13):对价格变化反应灵敏。
长周期 RSI (默认 42):代表长期趋势基准。
交易信号基于两条 RSI 的差值 (Spread) 生成,逻辑如下:
🟢 买入信号 (Buy):当 长周期 RSI - 短周期 RSI > 20。这意味着短期动量严重低于长期基准,市场可能处于深度超卖状态,存在均值回归需求。
🔴 卖出信号 (Sell):当 短周期 RSI - 长周期 RSI > 20。这意味着短期动量冲高过快,远超长期基准,市场可能过热。
2. RSI 顶底背离 (Divergence) 指标内置了经典的背离检测算法(可选择开启/关闭),应用于短周期 RSI:
Bullish Divergence (看涨背离):价格创新低,但 RSI 底部抬高。
Bearish Divergence (看跌背离):价格创新高,但 RSI 顶部降低。 (注意:背离功能默认关闭,请在设置中勾选 "Calculate Divergence" 开启)
3. 高度自定义
支持自定义 RSI 长度、平滑类型 (SMA/EMA) 及平滑长度。
支持自定义差值阈值(默认 20)。
完整的告警支持:可分别为差值信号和背离信号设置 TradingView 告警。
如何使用 建议将“差值信号”作为预警,结合“背离信号”作为确认。当出现“买入”标签且随后出现 Bullish 背离时,胜率通常更高。
Overview
This is a comprehensive momentum trading tool that combines a Dual RSI Cross System with Classic RSI Divergence Detection. It is designed to identify potential overbought/oversold conditions by analyzing the "spread" between short-term and long-term momentum, reinforced by divergence signals for reversal confirmation.
Key Features & Logic
1. Dual RSI Spread Signals The script calculates two RSI lines simultaneously:
Short RSI (Default 13): Sensitive to immediate price changes.
Long RSI (Default 42): Represents the longer-term baseline.
Trading signals are generated based on the Spread (Difference) between these two lines:
🟢 BUY Signal: Triggers when Long RSI - Short RSI > 20. This implies short-term momentum is significantly below the long-term baseline, suggesting a deep oversold condition and potential mean reversion.
🔴 SELL Signal: Triggers when Short RSI - Long RSI > 20. This implies short-term momentum has spiked too far above the baseline, suggesting an overheated market.
2. RSI Divergence The indicator includes a built-in divergence detection algorithm (optional) applied to the Short RSI:
Bullish Divergence: Price makes a lower low, but RSI makes a higher low.
Bearish Divergence: Price makes a higher high, but RSI makes a lower high. (Note: Divergence is disabled by default. Please check "Calculate Divergence" in the settings to enable).
3. Fully Customizable
Configurable RSI lengths, Smoothing types (SMA/EMA), and Smoothing lengths.
Adjustable Spread Threshold (Default is 20).
Full Alert Support: Set alerts specifically for Spread Signals or Divergence detections.
How to Use It is recommended to use the "Spread Signals" as an early warning system and the "Divergence Signals" as confirmation. A setup where a "BUY" spread label is followed by a Bullish Divergence line often presents a higher probability trade.
Median Anchor Oscillator [ALPHA]ALPHA – Median Anchor Oscillator
A clean, outlier-resistant z-score oscillator built around a rolling median (not mean) and Median Absolute Deviation (MAD) instead of standard deviation.
Key features:
- Green/red histogram shows deviation strength from the median anchor
- Dashed lines at ± threshold (default 2.5 – adjustable)
- Optional purple fill for extreme zones
- Auto-scales perfectly (no price squish on BTC or high-value assets)
Ideal for mean-reversion traders spotting overextension or "gravity" pullbacks.
SHORT = breaching top dashed line (red)
LONG = breaching bottom dashed line (green)
Use with a MACD or RSI for those divergence signal confirmations.
This is ALPHA – early version, still tuning.
Companion overlay suite (medians, pivot, signals, RSI overlay) coming in future, possible standalone update(s).
Feedback / suggestions very welcome!
Tags: z-score, median, oscillator, mean-reversion, BTC, crypto, deviation
Apex Wallet - Ultimate Multi-Oscillator (9-in-1) & Market TrendThe Apex Wallet Multi-Oscillator is a powerful "All-in-One" technical analysis tool designed to clean up your charts by combining nine of the most effective momentum and trend indicators into a single workspace. This script is engineered to adapt to different trading styles—Scalping, Day-Trading, or Swing-Trading—with a single click.
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Whether you are looking for trend exhaustion, momentum shifts, or volatility breakouts, this indicator provides a clear, visual summary of market dynamics.
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Key Features
9 Indicators in 1: Access RSI, Stochastic, StochRSI, MACD, Zero-Lag MACD, Andean Oscillator, and the Traders Dynamic Index (TDI).
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Smart Layout Modes:
Raw (Brut): Classic view with original values.
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Stacked (Empilé): Organizes indicators into fixed vertical zones to prevent overlapping.
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Proportional Stacking: Automatically calculates and adjusts the height of blocks based on active oscillators.
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Trading Presets: Switch between Scalping, Day-Trading, and Swing-Trading modes. The script automatically adjusts periods and lengths (e.g., RSI 7 for Scalping vs. 21 for Swing) to match the market speed.
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Included Oscillators
Stochastic & RSI: Standard momentum tools with color-coded signals.
Traders Dynamic Index (TDI): A full suite including the RSI Price Line, Signal Line, and Market Base Line with optional Bollinger Bandwidth columns.
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MACD & Zero-Lag MACD: Includes histogram fills and trend-colored lines for faster reaction to price movement.
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Andean Oscillator: An advanced tool to identify Bull/Bear dominance and market "Range" or "Reversal" states.
Visual Signals & Alerts
Market Trend: Optional visual coloring based on indicator crosses to quickly spot bullish or bearish momentum.
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Customizable UI: High-fidelity rendering with dashed levels and proportional fills for a professional, clean interface.
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Integrated Alerts: Pre-configured alerts for Andean Oscillator trend changes (Bullish, Bearish, or Reversal).
How to use
Select your Trading Mode in the settings based on your timeframe.
Toggle the indicators you want to see.
Use the Stacked mode if you want to keep your sub-window organized without lines crossing each other.
Attorney Ko's Moving Average 3 Stochastic책 고변호사 주식강의에 나오는 이평선과 스토캐스틱을 적용했다.
60이평선을 40이평선, 120이평선을 80이평선으로 바꿨다.
I applied the moving averages and stochastics from Attorney Koh's stock lecture.
I changed the 60 moving average to the 40 moving average, and the 120 moving average to the 80 moving average.
Volume Buy/Sell Pressure with Hot PercentFULL DESCRIPTION (Condensed Version)
Volume Buy/Sell Pressure with Hot Percent
Professional volume analysis indicator revealing real-time buying and selling pressure with hot volume detection and customizable alerts.
Key Features:
Three-Layer Histogram - Visual breakdown: total volume (gray), buying pressure (bright green), selling pressure (bright red)
Flexible Display - Toggle between percentage view or actual volume counts for buying/selling pressure
Real-Time Metrics - Live buying/selling data, current bar volume, daily totals, 30-bar/30-day averages with comma formatting
Hot Volume Detection - Automatic alerts with white triangle markers when volume exceeds threshold
Customizable Labels - 4 sizes (Small/Normal/Large/Huge), 9 positions (all corners/centers/middles), toggle any metric on/off
Smart Color Coding - Green (high volume/buying dominant), Red (selling dominant), Orange (equal pressure), Gray (low volume). Black text on bright backgrounds for maximum contrast.
Alert Conditions:
Hot Volume: Triggers when volume exceeds moving average by specified percentage
Unusual 30-Bar Volume: Current bar significantly above 30-bar average
Unusual 30-Day Volume: Daily volume significantly above 30-day average
Settings:
Display - Toggle metrics, choose percentage/count display, select size and position
Volume - Set unusual volume threshold (default 200%), adjust average length (default 21)
Hot Volume - Choose SMA/EMA, set lookback period (default 20), define threshold (default 100%)
Perfect For:
Day traders scalping futures (MNQ, MES, MYM, MGC, MCL)
Swing traders identifying accumulation/distribution
Breakout traders needing volume confirmation
All timeframes - tick charts to daily/weekly
Use Cases:
Confirm trend strength with pressure alignment
Spot reversals when pressure diverges from price
Validate breakouts with hot volume alerts
Identify smart money through unusual volume
Track institutional activity at key levels
What Makes This Different:
Shows buying vs selling pressure WITHIN each bar using price range methodology. Most indicators only show total volume or simple up/down. This reveals actual pressure distribution regardless of bar direction. Three-layer design makes order flow instantly visible.
Pro Tips:
Use "Large" labels at 100% zoom
Enable volume count display for position sizing
Position labels in corners to avoid price overlap
Enable alerts during pre-market and news events
Watch for divergences: price up + selling pressure up = potential reversal
Compare to both 30-bar and 30-day for full context
Technical:
Pine Script v6
All timeframes and instruments
No repainting
Efficient code, minimal CPU
Three alert conditions
Works on futures, stocks, forex, crypto
Clean, professional presentation. Essential for volume analysis and order flow tracking.
Relative Strength Index (RSI) w/ Multi Time Frame w/ DivergencesThis indicator is an advanced evolution of the classic Relative Strength Index (RSI), designed to provide deeper market context by combining Momentum, Multi-Timeframe (MTF) analysis, and Divergences into a single, clean visual tool.
Unlike standard indicators, RSI MTF Pro v2 allows you to configure the Main RSI and the Background Trend Zone independently, giving you full control over your strategy (e.g., watching a 15m RSI while monitoring the 4H trend).
Key Features:
🚀 Dual MTF Engine: Completely independent settings for the Main RSI Line and the Background Zone. You can choose different Timeframes, Lengths, and Levels for each.
heatmap Style Background: The indicator background changes color (Red/Green) based on the MTF RSI trend, helping you filter out bad trades and stick to the dominant trend.
🎨 Smart Gradient Fills: To keep your chart clean, the gradient colors (Red/Green fills) only appear when the RSI breaches the Overbought or Oversold levels.
🎯 Divergence Detector: Automatically spots and marks Regular Bullish and Bearish divergences with pivot-based logic.
How to Use:
Trend Confirmation: Use the Background Color to determine the higher timeframe direction (e.g., Red Background = Uptrend).
Entry Signals: Look for RSI signals that align with the background color (e.g., RSI Oversold/Green Gradient + Green Background).
Reversals: Use the built-in Divergence circles to spot potential trend reversals.
Settings:
Main RSI: Customizable Timeframe, Length, OB/OS Levels.
MTF Background: Independent Timeframe, Length, and Zone thresholds (e.g., >60 Red, <40 Green).
Divergences: Toggle On/Off and adjust Pivot lookback periods.
Disclaimer: This tool is for informational purposes only and does not constitute financial advice.
Kalman Hull Trend Score [BackQuant]Kalman Hull Trend Score
Overview
Kalman Hull Trend Score is a trend-strength and regime-evaluation indicator that combines two ideas, Kalman filtering and Hull-style smoothing, then measures persistence of that filtered trend using a rolling score. The goal is to produce a cleaner, more stable trend read than typical moving average tools, while still reacting fast enough to be practical in live markets.
Instead of treating a moving average as a simple line you cross, this indicator turns the filtered trend into an oscillator-like score that answers: “Is the smoothed trend consistently progressing, or is it stalling and degrading?”
Core idea
The indicator is built from two components:
A Kalman-based smoothing engine that estimates price state and reduces noise adaptively.
A Hull-style construction that uses multiple Kalman passes to create a responsive, low-lag trend filter.
Once the Kalman Hull filter is built, a persistence score is calculated by comparing the current Kalman Hull value to many past values. The result is a trend score that rises in sustained trends and compresses or flips during deterioration.
Why Kalman instead of standard smoothing
Traditional moving averages apply fixed smoothing rules regardless of market conditions. A Kalman filter behaves differently, it is designed to estimate an underlying state in noisy data, adjusting how much it “trusts” new price information versus prior estimates.
This script exposes that behavior through two key controls:
Measurement Noise: how noisy the observed price is assumed to be.
Process Noise: how much the underlying state is allowed to evolve from bar to bar.
Together, these settings let you tune the balance between smoothness and responsiveness without relying on blunt averaging alone.
Kalman filter mechanics (conceptual)
Each update cycle follows the classic structure:
Prediction: assume the state continues, and expand uncertainty by process noise.
Update: compute Kalman Gain, then blend the new price observation into the estimate.
Correction: reduce uncertainty based on how much the filter accepted the new information.
When measurement noise is higher, the filter becomes more conservative, smoothing harder. When process noise is higher, the filter adapts faster to regime changes, but can become more reactive.
Check out the original script:
Kalman Hull construction
The “Hull” component is not a standard HMA built from WMAs. Instead, it recreates the Hull idea using Kalman filtering as the smoothing primitive. The structure follows the same intent as HMA, reduce lag while keeping the line smooth, but does it with Kalman passes:
Apply Kalman smoothing over multiple effective lengths.
Combine them using the Hull-style weighting logic.
Run the combined output through another Kalman pass to finalize smoothing.
The result is a Kalman Hull filter that aims to track trend with less jitter than raw price, and less lag than slow averages.
Another Kalman Hull with Supertrend
Trend scoring logic
The trend score is computed by comparing the current Kalman Hull value to past Kalman Hull values over a fixed lookback range (1 to 45 bars in this script):
If current kalmanHMA > kalmanHMA , add +1
If current kalmanHMA < kalmanHMA , add -1
This produces a persistence score rather than a simple direction signal. Strong trends where the filter keeps advancing will accumulate positive comparisons. Weak trends, chop, or reversals will cause the score to flatten, decay, or flip negative.
Interpreting the score
Read the score as trend conviction and persistence:
High positive values: bullish persistence, the filtered trend is progressing consistently.
Low positive values: trend exists but is fragile, progress is slowing.
Near zero: indecision, range behavior, frequent challenges to structure.
Negative values: bearish persistence or sustained deterioration in the filtered trend.
The rate of change matters:
Score expansion suggests trend is gaining traction.
Score compression often signals consolidation or exhaustion.
Fast flips usually accompany regime transitions.
Signal thresholds and regime transitions
User-defined thresholds convert the score into regimes:
Long threshold: score must exceed this level to confirm bullish persistence.
Short threshold: a crossunder of the score triggers bearish regime transition.
This is intentionally conservative. Long bias is maintained while the score holds above the long threshold. Short transitions are event-triggered on breakdown via crossunder, helping avoid constant flipping during minor noise.
Signals are only plotted on regime changes (first bar of the flip), keeping them clean for alerts and backtests.
Visual presentation
The indicator provides multiple layers depending on how you want to use it:
Kalman Hull Trend Score oscillator, color-coded by active regime.
Optional Kalman Hull filter plotted on the price chart for structure context.
Optional threshold reference lines for quick regime mapping.
Optional candle coloring and background shading for instant readability.
You can run it as a pure score panel or as a combined panel + on-chart trend overlay.
How to use in practice
Trend filtering
Favor long setups when the score remains above the long threshold.
Reduce directional aggression when score compresses toward zero.
Treat a short-threshold breakdown as a regime risk event, not just a signal.
Trend quality assessment
Rising score supports continuation trades and adds confidence to breakouts.
Flat or falling score warns that trend persistence is fading.
If price trends but score fails to expand, trend may be weak or liquidity-driven.
Trade management
Use the Kalman Hull line as dynamic structure reference on chart.
Use score deterioration to scale out before a full regime flip.
Use regime flips as confirmation for bias shifts rather than prediction.
Tuning guidelines
Measurement Noise
Higher: smoother filter, fewer false shifts, slower to adapt.
Lower: more responsive, more sensitive to microstructure noise.
Process Noise
Higher: adapts quicker to sudden changes, but can become twitchy.
Lower: steadier state estimate, but slower during sharp regime transitions.
A practical approach is to first tune measurement noise until the Kalman Hull line matches the “clean trend structure” you want, then adjust process noise to control how quickly it reacts when the regime genuinely changes.
Summary
Kalman Hull Trend Score transforms a Kalman-based Hull-style trend filter into a quantified persistence oscillator. By combining adaptive Kalman smoothing with low-lag Hull logic and a rolling comparison score, it provides a cleaner read on trend quality than basic moving averages or single-condition trend tools. It is best used as a regime filter, trend strength gauge, and structure-aware trade management layer.






















