Commodity Channel IndexThe Commodity Channel Index (CCI) is a technical indicator that measures the strength of the momentum in the market, it is calculated using a Moving average (default 20 SMA, users can change the legth and the type of the MA from dashboard) using formula: cci = (src - ma) / (0.015 * ta.dev(src, ccilength)).
When CCI is under -100 that indicates a strong downtrend, and above +100 level a strong uptrend, above 0 level a bullish trend start and bellow 0 level bearish momentum.
Crossing back above -100 and bellow + 100 levels not means it is a reversal of the trend, could be just a pullback or a bounce before trend continuation.
The indicator display on the main chart a color coded moving average with the length and type selected by users for CCI calculation.
The CCI Moving average and the CCI lines in oscillator are both color coded :
1. CCI and MA both red = > Bearish trend
2. CCI and MA both green = > Bullish trend
3. MA color turn yellow or the CCI turn blue that means a possible consolidation will be next or trend change.
4 type of Divergences are detected by the script Bullish, Bearish, Hidden Bullish and Hidden bearish divergences, users can setup alarms for them, by default the divergences ae not displayed, users need to select them to be displayed on the oscillator.
A table displaying the vurrent timeframe and 2 higher timeframes of the stats of CCI and its MA.
There are 13 alerts that users can setup akarms:
Alert for Regular Bullish Divergence
Alert for Hidden Bullish Divergence
Alert for Regular Bearish Divergence
Alert for Hidden Bearish Divergence
Alert for CCI Back Above -100
Alert for CCI Back Bellow 100
Alert for CCI Extreme Overbought
Alert for CCI Extreme Oversold
Alert for trend change by CCI MA => Moving Average Color turned to yellow, that means sideways or possible trend change
Alert for CCI Crossing Above CCI MA
Alert for CCI Crossing Bellow CCI MA
Alert for cci Crossing Above 0
Alert for CCI Crossing Bellow 0
오실레이터
VEGA (Velocity of Efficient Gain Adaptation)VEGA (Velocity of Efficient Gain Adaptation)
VEGA is a momentum oscillator that measures the velocity of an efficiency-weighted adaptive moving average. Unlike traditional momentum indicators that react uniformly to all price movements, VEGA intelligently adapts its sensitivity based on market conditions—responding quickly during trending periods and filtering noise during consolidation.
--------------------------------
What Makes VEGA Different
Efficiency-Driven Adaptation
At its core, VEGA uses the Efficiency Ratio (ER) to distinguish between trending and choppy markets. When price moves efficiently in one direction, VEGA's underlying adaptive MA speeds up to capture the move. When price chops sideways, it slows down to avoid whipsaws. This creates a momentum reading that's inherently cleaner than fixed-period alternatives.
Linear Regression Smoothed Source
VEGA offers an optional LinReg-smoothed price source that blends regular candles with linear regression values. This pre-smoothing reduces noise before it ever enters the calculation, resulting in a histogram that's easier to read without sacrificing responsiveness. The mix ratio lets you dial in exactly how much smoothing you want.
Z-Score Normalization with Dead Zone
Rather than arbitrary oscillator bounds, VEGA normalizes output as standard deviations from the mean. This gives statistically meaningful levels: readings above +2σ or below -2σ represent genuinely extreme momentum. The configurable dead zone (with Snap, Soft Fade, or None modes) filters out insignificant movements near zero, keeping you focused on signals that matter.
--------------------------------
How It Works
1. Source Preparation — Price is smoothed via a LinReg/regular candle blend
2. Efficiency Ratio — Measures directional movement vs total movement over the lookback period
3. Adaptive MA — Applies variable smoothing based on efficiency (fast during trends, slow during chop)
4. Velocity — Calculates the rate of change of the adaptive MA
5. Normalization — Converts to Z-Score (standard deviations) or ATR-normalized percentage
6. Dead Zone — Optionally filters near-zero values to reduce noise
--------------------------------
How To Read VEGA
Signal and Interpretation
Histogram above zero | Bullish momentum
Histogram below zero | Bearish momentum
Bright color | Momentum accelerating
Faded color | Momentum decelerating
Beyond ±1σ bands | Above-average momentum
Beyond ±2σ bands | Extreme momentum (potential reversal zone)
Zero line cross*| Momentum shift
--------------------------------
Key Settings
ER Length — Lookback for efficiency ratio calculation. Higher = smoother, slower adaptation.
Fast/Slow Smoothing — Controls the adaptive MA's responsiveness range. The MA blends between these based on efficiency.
LinReg Settings — Enable smoothed candles and adjust the blend ratio (0 = regular candles, 1 = full LinReg, 0.5 = 50/50 mix).
Z-Score Lookback — Period for calculating mean and standard deviation. Shorter = more reactive normalization.
Dead Zone Type — How to handle near-zero values:
Snap — Hard cutoff to zero
Soft Fade — Gradual reduction toward zero
None — No filtering
Dead Zone Threshold — Values within this Z-Score range are affected by the dead zone setting.
VEGA works on any timeframe and any market. For best results, adjust the ER Length and LinReg settings to match your trading style and the volatility characteristics of your instrument.
Stochastic RSI + RSI/ADX Stochastic RSI with RSI/ADX Display
DESCRIPTION:
Advanced momentum oscillator combining Stochastic RSI with Ehlers SuperSmoother filter for reduced noise and cleaner signals. Includes real-time RSI and ADX value displays for complete market analysis.
KEY FEATURES:
- Stochastic RSI applied to logarithmic price for normalized movements
- Ehlers SuperSmoother filter reduces lag while eliminating false signals
- Second derivative (curvature) analysis filters out low-probability setups
- Real-time RSI and ADX boxes with color-coded thresholds
- Buy/Sell signals only trigger with confirmed momentum and curvature alignment
COMPONENTS:
1. K Line (Blue): Smoothed Stochastic RSI
2. D Line (Orange): Signal line (SMA of K)
3. RSI Box: Green above 50, Red below 50
4. ADX Box: Green above 25 (trending), Red below 25 (ranging)
SIGNAL LOGIC:
BUY: K crosses above D + positive curvature + below midpoint (50)
SELL: K crosses below D + negative curvature + above midpoint (50)
PARAMETERS:
- K Smoothing: 10 (Ehlers filter period)
- D Smoothing: 3 (Signal line)
- RSI
Liquidity Sentiment Profile | LUPENIndicator Guide: Liquidity Sentiment Profile (LSP).
What is the LSP?
The Liquidity Sentiment Profile (LSP) is a "Next-Generation" oscillator designed to look beyond simple price action. While standard indicators (like RSI or MACD) primarily focus on where a candle closes, the LSP analyzes the micro-structure of the entire candle—specifically the relationship between the candle's Body, its Wicks (Shadows), and the Volume.
The Core Philosophy:
Wicks tell the truth: A long lower wick indicates that sellers pushed the price down, but buyers aggressively absorbed that liquidity and pushed it back up.
That is hidden bullish strength.
Volume validates intent: A price move with low volume is noise. A price move (or wick rejection) with high volume is a commitment by institutional players.
The LSP calculates a "Sentiment Score" between -100 and +100 based on these factors.
How to Read the Visuals
The Colors (Intensity)
color: Light Green - Bullish Acceleration. Buyers are in control, and momentum is increasing. This is the ideal time to be in a Long trade.
color: Dark Green - Bullish Deceleration. Buyers are still in control (price is likely rising), but the momentum is fading. This is a warning sign to tighten stop-losses or take profits.
color: Light Red - Bearish Acceleration. Sellers are dominating, and panic is increasing. This is the ideal time to be Short.
color: Dark Red - Bearish Deceleration. Sellers are still in control, but the downward pressure is exhausted. Be careful with new short positions.
The Lines & Fills
The Main Line: The actual LSP sentiment value.
The Yellow Signal Line: A smoothed average of the sentiment.
The Core Fill: The colored area between the Main Line and the Signal Line. When this area "glows", the trend is strong. When it dims (Dark), the trend is weak. Bearish Deceleration. Sellers are still in control, but the downward pressure is exhausted. Be careful with new short positions.
The Lines & Fills
The Main Line: The actual LSP sentiment value.
The Yellow Signal Line: A smoothed average of the sentiment.
The Core Fill: The colored area between the Main Line and the Signal Line. When this area "glows" (Neon), the trend is strong. When it dims (Dark), the trend is weak.
How to Use It (Trading Strategies)
Strategy A: The "Power Cross" (Trend Entry)
Use this for entering trends when the market wakes up.
Long Entry: Wait for the LSP line to cross ABOVE the Yellow Signal Line.
Confirmation: The fill color must turn Neon Green.
Short Entry: Wait for the LSP line to cross BELOW the Yellow Signal Line.
Confirmation: The fill color must turn Neon Red.
Strategy B: The "Absorption" Play (Reversals)
This is where the LSP shines. It detects when liquidity is being absorbed before price turns.
Bullish Absorption: The Price makes a Lower Low, but the LSP makes a Higher Low. This happens because the LSP detects the Volume on the Lower Wicks (buyers absorbing selling pressure). This is a high-probability reversal signal.
Bearish Absorption: The Price makes a Higher High, but the LSP makes a Lower High. The volume on the Upper Wicks suggests sellers are absorbing the buy orders.
Strategy C: The "Dimming" Exit (Risk Management)
Don't wait for the price to crash to exit a trade.
If you are in a Long trade (Neon Green) and the color instantly shifts to Dark Green, it means the "fuel" is running out. Consider taking partial profits or moving your Stop Loss to break even.
Standard oscillators (like RSI) often give false signals during strong trends (showing "Overbought" while price keeps going up). The LSP avoids this because it weights Volume and Wicks. If price goes up and volume increases, the LSP stays Neon Green, telling you the move is genuine, not just overextended.
Programmers Toolbox of ta LibraryA programmer's "Swiss army knife" for selecting functions from the " ta Library by Trading View " during coding. Illustrates the results of the individual library functions. Adds a few extra features. Extensively and uniquely documented.
RSI+Breadth Multi-Factor# RSI+ Breadth Multi-Factor Indicator
**Multi-factor scoring system for US market timing | 美股多因子择时评分系统**
[! (img.shields.io)](www.tradingview.com)
[! (img.shields.io)](www.tradingview.com)
[! (img.shields.io)](LICENSE)
---
## Overview | 概述
A quantitative indicator that combines **RSI**, **market breadth** (% above 20/50-day MA), and **up/down volume ratio** to generate actionable buy/sell signals for SPY, QQQ, and IWM.
这是一个结合 **RSI**、**市场广度**（站上20/50日均线比例）和 **涨跌成交量比** 的量化指标，为 SPY、QQQ 和 IWM 生成可操作的买卖信号。
---
## Features | 功能特点
| Feature | 功能 |
|---------|------|
| 🎯 Multi-factor scoring (-10 to +10) | 多因子评分系统 (-10 到 +10) |
| 📊 RSI + Breadth + Volume integration | RSI + 广度 + 成交量三重验证 |
| 🔀 Three markets: SPY, QQQ, IWM | 三大市场：SPY、QQQ、IWM |
| 🔥 Cross-market resonance detection | 跨市场共振信号检测 |
| 📈 Trend filter (MA-based) | 趋势过滤（均线判断） |
| ⏰ Auto-adapts to intraday timeframes | 自动适配日内时间周期 |
| 🎚️ Three modes: Aggressive/Standard/Conservative | 三种模式：激进/标准/保守 |
---
## Signal Reference | 信号说明
| Score | Emoji | Signal | 中文 | Action |
|:-----:|:-----:|--------|:----:|--------|
| ≥ 6 | 🚀 | **PANIC LOW** | 恐慌低点 | Strong buy 强烈买入 |
| ≥ 4 | 📈 | **BUY ZONE** | 低吸区 | Accumulate 分批建仓 |
| -3~3 | - | **HOLD** | 持有 | Hold position 持仓观望 |
| ≤ -4↑ | ⭐ | **ELEVATED** | 高估 | Hold cautious 持有但谨慎 |
| ≤ -4↓ | ⚡ | **CAUTION** | 观望 | Take profit 止盈 |
| ≤ -6↓ | ⚠️ | **REDUCE** | 减仓 | Reduce position 减少仓位 |
> **↑ = Uptrend** (price > MA) | **↓ = Downtrend** (price < MA)
### Resonance Signals | 共振信号
| Emoji | Signal | Description |
|:-----:|--------|-------------|
| 🔥 | Resonance Buy | Multiple markets in buy zone 多市场同时低吸 |
| ❄️ | Resonance Risk | Multiple markets in risk zone 多市场同时高估 |
---
## Scoring Logic | 评分逻辑
### Factors | 因子
| Factor | Weight | Buy Score | Sell Score |
|--------|--------|-----------|------------|
| **RSI** | 1x | RSI < 30 → +2, < 40 → +1 | RSI > 75 → -2, > 65 → -1 |
| **FI (50D MA%)** | Bottom focus | < 25% → +3, < 35% → +2 | > 85% → -2, > 78% → -1 |
| **TW (20D MA%)** | Top focus | < 30% → +1 | > 82% → -3, > 72% → -2 |
| **Volume Ratio** | 1x | UVOL/DVOL < 0.5 → +2 | > 2.5 → -2 |
### Breadth Symbols | 广度数据
| Market | TW Symbol | FI Symbol | Volume |
|--------|-----------|-----------|--------|
| SPY (S&P 500) | INDEX:S5TW | INDEX:S5FI | USI:UVOL/DVOL |
| QQQ (NASDAQ) | INDEX:NCTW | INDEX:NCFI | USI:UVOLQ/DVOLQ |
| IWM (Russell 2000) | INDEX:R2TW | INDEX:R2FI | USI:UVOL/DVOL |
---
## Settings | 设置说明
### Mode | 模式
- **Aggressive**: Lower thresholds, shorter cooldown (5 bars)
- **Standard**: Balanced defaults (10 bar cooldown)
- **Conservative**: Higher thresholds, longer cooldown (15 bars)
### Key Parameters | 关键参数
| Parameter | Default | Description |
|-----------|---------|-------------|
| RSI Length | 14 | RSI calculation period |
| Trend MA Length | 10 | MA for trend filter |
| Cooldown Bars | 10 | Min bars between same signals |
| Resonance Window | 3 | Bars to check for multi-market agreement |
| Min Markets | 2 | # of markets needed for resonance |
---
## Usage | 使用方法
### Installation | 安装
1. Copy the indicator code
2. In TradingView: **Pine Editor** → **New** → Paste code → **Add to Chart**
### Recommended Setup | 推荐设置
- **Timeframe**: Daily (D) for best accuracy | 推荐日线图
- **Markets**: Apply on SPY, QQQ, or IWM | 应用于SPY/QQQ/IWM
- **Mode**: Start with "Standard" | 建议从"标准"模式开始
### Intraday Mode | 日内模式
The indicator automatically detects intraday timeframes and adjusts:
- Uses only RSI + Volume factors (TW/FI are daily-only data)
- Lowers signal thresholds accordingly
指标会自动检测日内周期并调整：
- 仅使用 RSI + 成交量因子（TW/FI 仅有日线数据）
- 相应降低信号触发阈值
---
## Dashboard | 仪表盘
Displays real-time factor breakdown:
```
┌────────┬───────┬────────┐
│ Factor │ Score │ Weight │
├────────┼───────┼────────┤
│ RSI │ 1.0 │ 1x │
│ FI(50D)│ 2.0 │ Bottom │
│ TW(20D)│ -1.0 │ Top │
│ Vol │ 1.0 │ 1x │
│ Trend │ ↑ │ 10MA │
├────────┼───────┼────────┤
│ Total │ 3.0 │ HOLD │
└────────┴───────┴────────┘
```
---
## Alerts | 警报
Available alerts for each market (SPY/QQQ/IWM):
- Panic Low / Buy Zone (entry signals)
- Reduce / Caution (exit signals)
- Resonance Buy / Risk (cross-market confirmation)
每个市场（SPY/QQQ/IWM）可设置以下警报：
- 恐慌低点 / 低吸区（入场信号）
- 减仓 / 观望（出场信号）
- 共振买入 / 风险（跨市场确认）
---
## Trend Filter | 趋势过滤
**Key feature**: Risk signals (CAUTION/REDUCE) only trigger when **price is below the trend MA**.
When price is above MA (uptrend), the indicator shows **ELEVATED** ⭐ instead, preventing premature exits during strong rallies.
**核心功能**：风险信号（观望/减仓）仅在 **价格跌破趋势均线** 时触发。
当价格在均线之上（上升趋势）时，指标显示 **高估** ⭐，避免在强势上涨中过早离场。
---
## Disclaimer | 免责声明
This indicator is for **educational and informational purposes only**. It is not financial advice. Past performance does not guarantee future results. Always do your own research and consider your risk tolerance before trading.
本指标仅供 **教育和参考用途**，不构成投资建议。历史表现不代表未来收益。交易前请自行研究并考虑风险承受能力。
---
## License | 许可
MIT License - Free to use and modify with attribution.
MIT 许可证 - 可自由使用和修改，请注明出处。
---
## Author | 作者
Built with ❤️ for the trading community.
为交易社区精心打造 ❤️
Kinetic RSI [Vel + Accel] + AlertsThe Problem with Standard RSI
Most traders use the Relative Strength Index (RSI) to see if a market is "Overbought" (above 70) or "Oversold" (below 30). The problem? A strong trend can stay overbought for days, burning short sellers, or an asset can stay oversold while price continues to crash. Standard RSI tells you where the price is, but it doesn't tell you how hard it is moving.
The Solution: Kinetic RSI
This script reimagines RSI by applying basic physics concepts: Velocity and Acceleration.
Instead of asking "Is RSI below 30?", this indicator asks: "Is RSI below 35 AND did it just make a violent, high-speed turn upwards?"
It filters out lazy, drifting price action and only signals when momentum is accelerating in a new direction.
How It Works (The Math)
Velocity: We calculate the speed of the RSI change (Current RSI - Previous RSI).
Acceleration: We calculate if that speed is increasing (Current Velocity - Previous Velocity).
The Trigger: A signal is only generated if the RSI is in an extreme zone (<35 or >65) AND it has high Velocity AND positive Acceleration.
How to Trade It
1. The "Kick" Signals (Background Highlights)
🟢 Green Background (Bullish Kick): The RSI was low, but buyers stepped in aggressively. The momentum is not just positive; it is accelerating upward. This is often a "V-Bottom" catch.
🔴 Red Background (Bearish Kick): The RSI was high, but sellers slammed the price down. Momentum is accelerating downward.
2. The Line Color
Lime Line: Velocity is positive (Momentum is rising).
Fuchsia Line: Velocity is negative (Momentum is falling).
Usage: If the background flashes Green (Buy Signal), but the line turns back to Fuchsia (Red) a few bars later, the move has failed—exit the trade.
Settings & Alerts
RSI Length: Standard 14 (Adjustable).
Velocity Threshold: Controls sensitivity.
Lower (e.g., 2-3): More signals, catches smaller reversals.
Higher (e.g., 5+): Fewer signals, catches only massive "shocks" to the price.
Alerts Included: You can set alerts for "Bullish Kick," "Bearish Kick," or "Any Kick" to get notified of volatility spikes.
Best Practices
Wait for the Close: This indicator measures the closing velocity. Always wait for the bar to close to confirm the background color signal.
Trend Filtering: This works best as a "Reversal" indicator. If the market is in a super-strong uptrend, ignore the Bearish (Red) signals and only take the Bullish (Green) dips.
DeMarker (DeM)The DeMarker (DeM) indicator is a momentum oscillator designed to identify overbought and oversold conditions by comparing the most recent price extremes (highs and lows) to those of the previous candle. It moves between 0 and 1 and is especially useful for spotting potential trend reversals, exhaustion, and better-timed entries within larger trends.
How the DeMarker works
The DeMarker focuses on the relationship between today’s highs and lows and those of the previous bar:
• When price is pushing to new highs but not making significantly lower lows, DeM tends to rise toward 1, reflecting buying pressure and potential overbought conditions.
• When price is making lower lows but not significantly higher highs, DeM falls toward 0, reflecting selling pressure and potential oversold conditions.
Internally, the indicator measures the positive difference between the current high and the previous high (up-move strength) and the positive difference between the previous low and the current low (down-move strength). These values are smoothed over a user-defined period and combined into a ratio that keeps the output bounded between 0 and 1, making it easy to interpret visually.
Default settings and parameters
Typical default settings are aimed at providing a balance between responsiveness and noise reduction:
• Length: 14
• Overbought level: 0.7
• Oversold level: 0.3
With these settings, readings above 0.7 suggest that the market may be overheated to the upside, while readings below 0.3 suggest potential exhaustion on the downside. Traders can adjust these parameters depending on their style and the volatility of the asset.
Example configurations
Here are a few practical configurations that can be suggested to users:
• Swing trading setup:
• Length: 14–21
• Overbought: 0.7–0.75
• Oversold: 0.25–0.3
This works well on 4H and daily charts for spotting potential swing highs and lows.
• Short-term intraday setup:
• Length: 7–10
• Overbought: 0.8
• Oversold: 0.2
A shorter length increases sensitivity, better for 5–15 minute charts, but also increases the number of signals.
• Trend-following filter:
• Length: 20–30
• Overbought: 0.65–0.7
• Oversold: 0.3–0.35
This smoother configuration can be used together with moving averages to filter trades in the direction of the main trend.
Basic trading usage
Traders commonly use DeMarker in three main ways:
• Mean-reversion entries:
• Look for DeM below the oversold level (for example, 0.3 or 0.25) while price is approaching a support zone.
• Consider long entries when DeM turns back up and crosses above the oversold level, ideally confirmed by a bullish candle pattern or break of minor resistance.
• Taking profits or trimming positions:
• When DeM moves above the overbought level (for example, 0.7–0.8) near a known resistance level, traders may choose to take partial profits or tighten stops.
• A downward turn from overbought after a strong rally often signals momentum exhaustion.
• Divergence signals:
• Bullish divergence: price makes a lower low while DeM makes a higher low. This can hint at weakening downside momentum and a possible reversal upward.
• Bearish divergence: price makes a higher high while DeM makes a lower high. This can warn of weakening upside momentum before a pullback.
Combining with other tools
DeMarker often performs best as part of a confluence-based approach rather than as a standalone signal generator:
• Combine with trend filters:
• Use a moving average (for example, 50 or 200 EMA) to define trend direction and take DeM oversold entries only in uptrends, or overbought entries only in downtrends.
• Use with support/resistance and price action:
• Prioritize DeM signals that occur near well-defined horizontal levels, trendlines, or supply/demand zones.
• Add volume or volatility tools:
• Strong signals tend to appear when DeM reverses from extreme zones in sync with a volume spike or volatility contraction/expansion.
Rainbow MA Width█ OVERVIEW
Rainbow MA Width is a companion indicator for Rainbow MA Cloud. It displays ribbon width as a normalized Z-Score, allowing traders to visualize trend momentum expansion and contraction relative to recent history.
█ CONCEPTS
Z-Score Normalization:
Rather than displaying raw width values (which vary by asset and timeframe),
this indicator normalizes the ribbon width using Z-Score calculation:
Z-Score = (Current Width - Average Width) / Standard Deviation
Z-Score Interpretation:
• 0 = Average width (mean)
• +1 to +2 = Expanding (above average, strong trend)
• -1 to -2 = Contracting (below average, weakening trend)
• Beyond ±2 = Extreme (statistical outlier, potential reversal)
Width Calculation Modes:
• Outer — Distance between fastest and slowest MA: |MA1 - MA8|
• Average Gap — Mean of all adjacent MA gaps
• Total Gap — Sum of all adjacent MA gaps
█ FEATURES
1 — Width Mode Selection
Three methods to calculate ribbon width.
"Outer" recommended for aligned trends.
2 — Z-Score Period
Configurable lookback for mean and standard deviation.
Default 20 bars; increase for smoother, less reactive readings.
3 — Zone Fill Coloring
Cyan fill when expanding (Z > 0).
Orange fill when contracting (Z < 0).
Yellow fill for extreme values (|Z| > 2) as warning.
4 — Alignment Background
Green background during bullish alignment.
Red background during bearish alignment.
Synced with Rainbow MA Cloud for consistency.
5 — Reference Lines
Horizontal lines at 0 (mean), ±1σ, and ±2σ levels.
Provides clear visual boundaries for interpretation.
6 — Raw Width Display
Optional secondary line showing original width percentage.
Useful for comparing normalized vs absolute values.
█ HOW TO USE
Trend Confirmation:
• Z-Score rising above 0 confirms trend acceleration
• Z-Score staying above +1 indicates sustained strong momentum
• Use alongside alignment background for confluence
Reversal Warning:
• Z-Score exceeding +2 suggests overextension (yellow warning zone)
• Z-Score dropping below -2 indicates extreme contraction
• Extreme readings often precede trend reversals or consolidation
Entry Timing:
• Enter trends when Z-Score crosses above 0 (expansion beginning)
• Avoid entries when Z-Score is at extreme highs (potential exhaustion)
• Consider exits when Z-Score peaks and begins declining
█ LIMITATIONS
• Z-Score is relative to lookback period; different periods give different readings
• Extreme zones (±2) are statistical guides, not guarantees
• Best used in conjunction with Rainbow MA Cloud for full context
█ ALERTS
Four built-in alert conditions:
• Z-Score crosses above/below zero
• Z-Score enters extreme high/low zones (±2)
SB - RSI EW OscillatorAdd EW with RSI.
Makes sense take a call if RSI is above 50 and EW turns green and vice versa.
Density Zones (GM Crossing Clusters) + QHO Spin FlipsINDICATOR NAME
Density Zones (GM Crossing Clusters) + QHO Spin Flips
OVERVIEW
This indicator combines two complementary ideas into a single overlay: *this combines my earlier Geometric Mean Indicator with the Quantum Harmonic Oscillator (Overlay) with additional enhancements*
1) Density Zones (GM Crossing Clusters)
A “Density Zone” is detected when price repeatedly crosses a Geometric Mean equilibrium line (GM) within a rolling lookback window. Conceptually, this identifies regions where the market is repeatedly “snapping” across an equilibrium boundary—high churn, high decision pressure, and repeated re-selection of direction.
2) QHO Spin Flips (Regression-Residual σ Breaches)
A “Spin Flip” is detected when price deviates beyond a configurable σ-threshold (κ) from a regression-based equilibrium, using normalized residuals. Conceptually, this marks excursions into extreme states (decoherence / expansion), which often precede a reversion toward equilibrium and/or a regime re-scaling.
These two systems are related but not identical:
- Density Zones identify where equilibrium crossings cluster (a “singularity”/anchor behavior around GM).
- Spin Flips identify when price exceeds statistically extreme displacement from the regression equilibrium (LSR), indicating expansion beyond typical variance.
CORE CONCEPTS AND FORMULAS
SECTION A — GEOMETRIC MEAN EQUILIBRIUM (GM)
We define two moving averages:
(1) MA1_t = SMA(close_t, L1)
(2) MA2_t = SMA(close_t, L2)
We define the equilibrium anchor as the geometric mean of MA1 and MA2:
(3) GM_t = sqrt( MA1_t * MA2_t )
This GM line acts as an equilibrium boundary. Repeated crossings are interpreted as high “equilibrium churn.”
SECTION B — CROSS EVENTS (UP/DOWN)
A “cross event” is registered when the sign of (close - GM) changes:
Define a sign function s_t:
(4) s_t =
+1 if close_t > GM_t
-1 if close_t < GM_t
s_{t-1} if close_t == GM_t (tie-breaker to avoid false flips)
Then define the crossing event indicator:
(5) crossEvent_t = 1 if s_t != s_{t-1}
0 otherwise
Additionally, the indicator plots explicit cross markers:
- Cross Above GM: crossover(close, GM)
- Cross Below GM: crossunder(close, GM)
These provide directional visual cues and match the original Geometric Mean Indicator behavior.
SECTION C — DENSITY MEASURE (CROSSING CLUSTER COUNT)
A Density Zone is based on the number of cross events occurring in the last W bars:
(6) D_t = Σ_{i=0..W-1} crossEvent_{t-i}
This is a “crossing density” score: how many times price has toggled across GM recently.
The script implements this efficiently using a cumulative sum identity:
Let x_t = crossEvent_t.
(7) cumX_t = Σ_{j=0..t} x_j
Then:
(8) D_t = cumX_t - cumX_{t-W} (for t >= W)
cumX_t (for t < W)
SECTION D — DENSITY ZONE TRIGGER
We define a Density Zone state:
(9) isDZ_t = ( D_t >= θ )
where:
- θ (theta) is the user-selected crossing threshold.
Zone edges:
(10) dzStart_t = isDZ_t AND NOT isDZ_{t-1}
(11) dzEnd_t = NOT isDZ_t AND isDZ_{t-1}
SECTION E — DENSITY ZONE BOUNDS
While inside a Density Zone, we track the running high/low to display zone bounds:
(12) dzHi_t = max(dzHi_{t-1}, high_t) if isDZ_t
(13) dzLo_t = min(dzLo_{t-1}, low_t) if isDZ_t
On dzStart:
(14) dzHi_t := high_t
(15) dzLo_t := low_t
Outside zones, bounds are reset to NA.
These bounds visually bracket the “singularity span” (the churn envelope) during each density episode.
SECTION F — QHO EQUILIBRIUM (REGRESSION CENTERLINE)
Define the regression equilibrium (LSR):
(16) m_t = linreg(close_t, L, 0)
This is the “centerline” the QHO system uses as equilibrium.
SECTION G — RESIDUAL AND σ (FIELD WIDTH)
Residual:
(17) r_t = close_t - m_t
Rolling standard deviation of residuals:
(18) σ_t = stdev(r_t, L)
This σ_t is the local volatility/width of the residual field around the regression equilibrium.
SECTION H — NORMALIZED DISPLACEMENT AND SPIN FLIP
Define the standardized displacement:
(19) Y_t = (close_t - m_t) / σ_t
(If σ_t = 0, the script safely treats Y_t = 0.)
Spin Flip trigger uses a user threshold κ:
(20) spinFlip_t = ( |Y_t| > κ )
Directional spin flips:
(21) spinUp_t = ( Y_t > +κ )
(22) spinDn_t = ( Y_t < -κ )
The default κ=3.0 corresponds to “3σ excursions,” which are statistically extreme under a normal residual assumption (even though real markets are not perfectly normal).
SECTION I — QHO BANDS (OPTIONAL VISUALIZATION)
The indicator optionally draws the standard σ-bands around the regression equilibrium:
(23) 1σ bands: m_t ± 1·σ_t
(24) 2σ bands: m_t ± 2·σ_t
(25) 3σ bands: m_t ± 3·σ_t
These provide immediate context for the Spin Flip events.
WHAT YOU SEE ON THE CHART
1) MA1 / MA2 / GM lines (optional)
- MA1 (blue), MA2 (red), GM (green).
- GM is the equilibrium anchor for Density Zones and cross markers.
2) GM Cross Markers (optional)
- “GM↑” label markers appear on bars where close crosses above GM.
- “GM↓” label markers appear on bars where close crosses below GM.
3) Density Zone Shading (optional)
- Background shading appears while isDZ_t = true.
- This is the period where the crossing density D_t is above θ.
4) Density Zone High/Low Bounds (optional)
- Two lines (dzHi / dzLo) are drawn only while in-zone.
- These bounds bracket the full churn envelope during the density episode.
5) QHO Bands (optional)
- 1σ, 2σ, 3σ shaded zones around regression equilibrium.
- These visualize the current variance field.
6) Regression Equilibrium (LSR Centerline)
- The white centerline is the regression equilibrium m_t.
7) Spin Flip Markers
- A circle is plotted when |Y_t| > κ (beyond your chosen σ-threshold).
- Marker size is user-controlled (tiny → huge).
HOW TO USE IT
Step 1 — Pick the equilibrium anchor (GM)
- L1 and L2 define MA1 and MA2.
- GM = sqrt(MA1 * MA2) becomes your equilibrium boundary.
Typical choices:
- Faster equilibrium: L1=20, L2=50 (default-like).
- Slower equilibrium: L1=50, L2=200 (macro anchor).
Interpretation:
- GM acts like a “center of mass” between two moving averages.
- Crosses show when price flips from one side of equilibrium to the other.
Step 2 — Tune Density Zones (W and θ)
- W controls the time window measured (how far back you count crossings).
- θ controls how many crossings qualify as a “density/singularity episode.”
Guideline:
- Larger W = slower, broader density detection.
- Higher θ = only the most intense churn is labeled as a Density Zone.
Interpretation:
- A Density Zone is not “bullish” or “bearish” by itself.
- It is a condition: repeated equilibrium toggling (high churn / high compression).
- These often precede expansions, but direction is not implied by the zone alone.
Step 3 — Tune the QHO spin flip sensitivity (L and κ)
- L controls regression memory and σ estimation length.
- κ controls how extreme the displacement must be to trigger a spin flip.
Guideline:
- Smaller L = more reactive centerline and σ.
- Larger L = smoother, slower “field” definition.
- κ=3.0 = strong extreme filter.
- κ=2.0 = more frequent flips.
Interpretation:
- Spin flips mark when price exits the “normal” residual field.
- In your model language: a moment of decoherence/expansion that is statistically extreme relative to recent equilibrium.
Step 4 — Read the combined behavior (your key thesis)
A) Density Zone forms (GM churn clusters):
- Market repeatedly crosses equilibrium (GM), compressing into a bounded churn envelope.
- dzHi/dzLo show the envelope range.
B) Expansion occurs:
- Price can release away from the density envelope (up or down).
- If it expands far enough relative to regression equilibrium, a Spin Flip triggers (|Y| > κ).
C) Re-coherence:
- After a spin flip, price often returns toward equilibrium structures:
- toward the regression centerline m_t
- and/or back toward the density envelope (dzHi/dzLo) depending on regime behavior.
- The indicator does not guarantee return, but it highlights the condition where return-to-field is statistically likely in many regimes.
IMPORTANT NOTES / DISCLAIMERS
- This indicator is an analytical overlay. It does not provide financial advice.
- Density Zones are condition states derived from GM crossing frequency; they do not predict direction.
- Spin Flips are statistical excursions based on regression residuals and rolling σ; markets have fat tails and non-stationarity, so σ-based thresholds are contextual, not absolute.
- All parameters (L1, L2, W, θ, L, κ) should be tuned per asset, timeframe, and volatility regime.
PARAMETER SUMMARY
Geometric Mean / Density Zones:
- L1: MA1 length
- L2: MA2 length
- GM_t = sqrt(SMA(L1)*SMA(L2))
- W: crossing-count lookback window
- θ: crossing density threshold
- D_t = Σ crossEvent_{t-i} over W
- isDZ_t = (D_t >= θ)
- dzHi/dzLo track envelope bounds while isDZ is true
QHO / Spin Flips:
- L: regression + residual σ length
- m_t = linreg(close, L, 0)
- r_t = close_t - m_t
- σ_t = stdev(r_t, L)
- Y_t = r_t / σ_t
- spinFlip_t = (|Y_t| > κ)
Visual Controls:
- toggles for GM lines, cross markers, zone shading, bounds, QHO bands
- marker size options for GM crosses and spin flips
ALERTS INCLUDED
- Density Zone START / END
- Spin Flip UP / DOWN
- Cross Above GM / Cross Below GM
SUMMARY
This indicator treats the Geometric Mean as an equilibrium boundary and identifies “Density Zones” when price repeatedly crosses that equilibrium within a rolling window, forming a bounded churn envelope (dzHi/dzLo). It also models a regression-based equilibrium field and triggers “Spin Flips” when price makes statistically extreme σ-excursions from that field. Used together, Density Zones highlight compression/decision regions (equilibrium churn), while Spin Flips highlight extreme expansion states (σ-breaches), allowing the user to visualize how price compresses around equilibrium, releases outward, and often re-stabilizes around equilibrium structures over time.
Hicham tight/wild rangeHere’s a complete Pine Script indicator that draws colored boxes around different types of ranges!
Main features:
📦 Types of ranges detected:
Tight Range (30–60 pips): Gray boxes
Wild Range (80+ pips): Yellow boxes
Relative Strength IndexRSI for indian market buy low and sell high.
rsi 3 low belo 15 buy and rsi high above 85 sell
Trend Prediction Meter [PointAlgo]The Trend Prediction Meter & Levels is a composite market-bias and volatility visualization tool designed to summarize trend strength, momentum, price positioning, and volatility into a single normalized score.
It provides a structured framework to interpret directional bias and probable price expansion zones during active market conditions.
Concept Overview
Markets often reflect multiple conditions simultaneously—trend direction, momentum strength, price location within a range, and volatility.
This indicator combines these elements into a unified Bullish Score (0–100), displayed as a meter and supported by projected ATR-based levels.
Rather than focusing on a single signal, the script aims to present context about current market conditions.
Bullish Score Composition (0–100)
The meter represents a weighted blend of multiple market factors:
1. Trend Strength (EMA Structure)
Uses a fast and slow EMA to assess directional bias.
The distance between EMAs is normalized into a trend strength score.
Strong separation indicates directional conviction; compression suggests balance.
2. Momentum Strength (RSI Blend)
Combines a short-term and mid-term RSI.
Helps capture both immediate momentum and broader directional stability.
Higher readings indicate sustained bullish pressure, lower readings indicate bearish pressure.
3. Position Within Recent Range
Measures where price is trading relative to its recent high–low range.
Values near the top of the range reflect strength; values near the bottom reflect weakness.
Mid-range positioning indicates equilibrium.
4. Volume Participation
Compares current volume against its recent average.
Acts as a minor confidence modifier rather than a primary driver.
Each component is normalized and combined using fixed weights to produce a final Bullish Score between 0 and 100.
Bias Classification
The Bullish Score is translated into descriptive market states:
Extreme Bullish
Very Bullish
Bullish
Neutral
Bearish
Very Bearish
These labels describe current bias, not future certainty.
Meter Visualization
The meter plot dynamically changes color based on the score range.
A dashed midline at 50 represents balance.
Background shading highlights strong bullish or bearish dominance zones.
Crossovers of the 50-level indicate shifts in directional control.
ATR-Based Projection Levels:
To provide volatility context, the indicator calculates ATR-based upside and downside reference levels:
Two potential expansion levels (TP1 and TP2) are projected above and below price.
The distance of these levels adapts based on current bias strength.
These levels are contextual reference zones, not fixed targets.
Prediction Dashboard
An optional side table summarizes key readings at the most recent bar:
Symbol
Current bias label
Bullish Score
Current price
ATR value
Upside and downside projection levels
Directional comment (Upside favoured / Downside favoured / Balanced)
This dashboard is designed to provide a quick structural overview without requiring manual calculation.
Signals & Alerts
Built-in alerts are available for:
Bullish bias conditions
Bearish bias conditions
Bullish Score crossing above 50
Bullish Score crossing below 50
Alerts are informational and reflect internal state changes only.
Customization:
Users can adjust:
RSI lengths
EMA lengths
Range lookback period
ATR parameters
Display options for the meter and dashboard
This allows adaptation across different instruments and timeframes.
Usage Notes
Best suited for analytical interpretation rather than standalone decision-making.
Designed to complement price action, structure, or other indicators.
Works across multiple markets where volume and volatility data are available.
Disclaimer :
This indicator is intended for educational and analytical purposes only.
It does not provide investment, trading, or financial advice.
All signals and levels should be validated with independent analysis and appropriate risk management.
Relative Strength Index_YJ//@version=5
indicator(title="MACD_YJ", shorttitle="MACD_YJ",format=format.price, precision=2)
source = close
useCurrentRes = input.bool(true, title="Use Current Chart Resolution?")
resCustom = input.timeframe("60", title="Use Different Timeframe? Uncheck Box Above")
smd = input.bool(true, title="Show MacD & Signal Line? Also Turn Off Dots Below")
sd = input.bool(false, title="Show Dots When MacD Crosses Signal Line?")
sh = input.bool(true, title="Show Histogram?")
macd_colorChange = input.bool(true, title="Change MacD Line Color-Signal Line Cross?")
hist_colorChange = input.bool(true, title="MacD Histogram 4 Colors?")
// === Divergence inputs ===
grpDiv = "Divergence"
calculateDivergence = input.bool(true, title="Calculate Divergence", group=grpDiv, tooltip="피벗 기반 정/역배 다이버전스 탐지 및 알람 사용")
lookbackRight = input.int(5, "Lookback Right", group=grpDiv, minval=1)
lookbackLeft = input.int(5, "Lookback Left", group=grpDiv, minval=1)
rangeUpper = input.int(60, "Bars Range Upper", group=grpDiv, minval=1)
rangeLower = input.int(5, "Bars Range Lower", group=grpDiv, minval=1)
bullColor = input.color(color.new(#4CAF50, 0), "Bull Color", group=grpDiv)
bearColor = input.color(color.new(#F23645, 0), "Bear Color", group=grpDiv)
textColor = color.white
noneColor = color.new(color.white, 100)
res = useCurrentRes ? timeframe.period : resCustom
fastLength = input.int(12, minval=1)
slowLength = input.int(26, minval=1)
signalLength= input.int(9, minval=1)
fastMA = ta.ema(source, fastLength)
slowMA = ta.ema(source, slowLength)
macd = fastMA - slowMA
signal = ta.sma(macd, signalLength)
hist = macd - signal
outMacD = request.security(syminfo.tickerid, res, macd)
outSignal = request.security(syminfo.tickerid, res, signal)
outHist = request.security(syminfo.tickerid, res, hist)
// 가격도 같은 res로
hi_res = request.security(syminfo.tickerid, res, high)
lo_res = request.security(syminfo.tickerid, res, low)
// ── Histogram 색
histA_IsUp = outHist > outHist and outHist > 0
histA_IsDown = outHist < outHist and outHist > 0
histB_IsDown = outHist < outHist and outHist <= 0
histB_IsUp = outHist > outHist and outHist <= 0
macd_IsAbove = outMacD >= outSignal
plot_color = hist_colorChange ? (histA_IsUp ? color.new(#00FF00, 0) :
histA_IsDown ? color.new(#006900, 0) :
histB_IsDown ? color.new(#FF0000, 0) :
histB_IsUp ? color.new(#670000, 0) : color.yellow) : color.gray
macd_color = macd_colorChange ? color.new(#00ffff, 0) : color.new(#00ffff, 0)
signal_color = color.rgb(240, 232, 166)
circleYPosition = outSignal
// 골든/데드 크로스 (경고 해결: 먼저 계산)
isBullCross = ta.crossover(outMacD, outSignal)
isBearCross = ta.crossunder(outMacD, outSignal)
cross_color = isBullCross ? color.new(#00FF00, 0) : isBearCross ? color.new(#FF0000, 0) : na
// ── 플롯
plot(sh and outHist ? outHist : na, title="Histogram", color=plot_color, style=plot.style_histogram, linewidth=5)
plot(smd and outMacD ? outMacD : na, title="MACD", color=macd_color, linewidth=1)
plot(smd and outSignal? outSignal: na, title="Signal Line", color=signal_color, style=plot.style_line, linewidth=1)
plot(sd and (isBullCross or isBearCross) ? circleYPosition : na,
title="Cross", style=plot.style_circles, linewidth=3, color=cross_color)
hline(0, "0 Line", linestyle=hline.style_dotted, color=color.white)
// =====================
// Divergence (정배/역배) - 피벗 비교
// =====================
_inRange(cond) =>
bars = ta.barssince(cond)
rangeLower <= bars and bars <= rangeUpper
plFound = false
phFound = false
bullCond = false
bearCond = false
macdLBR = outMacD
if calculateDivergence
// 정배: 가격 LL, MACD HL
plFound := not na(ta.pivotlow(outMacD, lookbackLeft, lookbackRight))
macdHL = macdLBR > ta.valuewhen(plFound, macdLBR, 1) and _inRange(plFound )
lowLBR = lo_res
priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1)
bullCond := priceLL and macdHL and plFound
// 역배: 가격 HH, MACD LH
phFound := not na(ta.pivothigh(outMacD, lookbackLeft, lookbackRight))
macdLH = macdLBR < ta.valuewhen(phFound, macdLBR, 1) and _inRange(phFound )
highLBR = hi_res
priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1)
bearCond := priceHH and macdLH and phFound
// 시각화 (editable 파라미터 삭제)
plot(plFound ? macdLBR : na, offset=-lookbackRight, title="Regular Bullish (MACD)",
linewidth=2, color=(bullCond ? bullColor : noneColor), display=display.pane)
plotshape(bullCond ? macdLBR : na, offset=-lookbackRight, title="Bullish Label",
text=" Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor, display=display.pane)
plot(phFound ? macdLBR : na, offset=-lookbackRight, title="Regular Bearish (MACD)",
linewidth=2, color=(bearCond ? bearColor : noneColor), display=display.pane)
plotshape(bearCond ? macdLBR : na, offset=-lookbackRight, title="Bearish Label",
text=" Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor, display=display.pane)
// 알람
alertcondition(bullCond, title="MACD Regular Bullish Divergence",
message="MACD 정배 다이버전스 발견: 현재 봉에서 lookbackRight 만큼 좌측.")
alertcondition(bearCond, title="MACD Regular Bearish Divergence",
message="MACD 역배 다이버전스 발견: 현재 봉에서 lookbackRight 만큼 좌측.")
RSI + STOCH RSI - Marx_CapitalSimple RSI + STOCH RSI indicator in one pane. In addition to the standard 30/70 and 20/80 RSI levels you have three adjustable levels (eg. 0, 50, 100) to indicate STOCH RSI overbought/oversold scenarios.
VR Volume Ratio + Divergence (Pro)成交量比率 (Volume Ratio, VR) 是一項通過分析股價上漲與下跌日的成交量，來研判市場資金氣氛的技術指標。本腳本基於傳統 VR 公式進行了優化，增加了**「趨勢變色」與「自動背離偵測」**功能，幫助交易者更精準地捕捉量價轉折點。
Introduction
Volume Ratio (VR) is a technical indicator that measures the strength of a trend by comparing the volume on up-days versus down-days. This script enhances the classic VR formula with "Trend Color Coding" and "Auto-Divergence Detection", helping traders identify volume-price reversals more accurately.
核心功能與參數
公式原理： VR = (Qu + Qf/2) / (Qd + Qf/2) * 100
Qu: 上漲日成交量 (Up volume)
Qd: 下跌日成交量 (Down volume)
Qf: 平盤日成交量 (Flat volume)
參數 (Length)：預設為 26 日，這是市場公認最有效的短中線參數。
關鍵水位線 (Key Levels)：
< 40% (底部區)：量縮極致，市場情緒冰點，常對應股價底部，適合尋找買點。
100% (中軸)：多空分界線。
> 260% (多頭警戒)：進入強勢多頭行情，但需注意過熱。
> 450% (頭部區)：成交量過大，市場情緒亢奮，通常為頭部訊號。
視覺優化 (Visuals)：
紅漲綠跌：當 VR 數值大於前一日顯示為紅色（動能增強）；小於前一日顯示為綠色（動能退潮）。
背離訊號 (Divergence)：自動標記量價背離。
▲ 底背離 (Bullish)：股價創新低，但 VR 指標墊高（主力吸籌）。
▼ 頂背離 (Bearish)：股價創新高，但 VR 指標走弱（買氣衰竭）。
Features & Settings
Formula Logic: Calculated as VR = (Qu + Qf/2) / (Qd + Qf/2) * 100.
Default Length: 26, widely regarded as the optimal setting for short-to-medium term analysis.
Key Zones:
< 40% (Oversold/Bottom): Extreme low volume, often indicating a market bottom and potential buying opportunity.
100% (Neutral): The balance point between bulls and bears.
> 260% (Bullish Zone): Strong uptrend, volume is expanding.
> 450% (Overbought/Top): Extreme high volume, often indicating a market top and potential reversal.
Visual Enhancements:
Color Coding: Line turns Red when VR rises (Momentum Up) and Green when VR falls (Momentum Down).
Divergence Signals: Automatically marks divergence points on the chart.
▲ Bullish Divergence: Price makes a lower low, but VR makes a higher low (Accumulation).
▼ Bearish Divergence: Price makes a higher high, but VR makes a lower high (Distribution).
應用策略建議
抄底策略：當 VR 跌破 40% 後，指標線由綠翻紅，或出現「▲底背離」訊號時，為極佳的波段進場點。
逃頂策略：當 VR 衝過 450% 進入高檔區，一旦指標線由紅翻綠，或出現「▼頂背離」訊號時，建議分批獲利了結。
Strategy Guide
Bottom Fishing: Look for entries when VR drops below 40% and turns red, or when a "▲ Bullish Divergence" label appears.
Taking Profit: Consider selling when VR exceeds 450% and turns green, or when a "▼ Bearish Divergence" label appears.
Disclaimer: This tool is for informational purposes only and does not constitute financial advice. / 本腳本僅供參考，不構成投資建議。
RSI Divergence LiquidityRSI Divergence Liquidity is an indicator designed to help you catch high-probability BUY reversals by combining two powerful concepts:
OANDA:XAUUSD
Liquidity Sweep / Swing Low: automatically marks swing-low levels and tracks when price sweeps below them and reacts back.
Bullish RSI Divergence: filters noise by comparing RSI at the swing area versus RSI at the retest, favoring reversals with stronger momentum confirmation.
How it works
The script draws Swing Low lines using Pivot Lows. When a new Swing Low forms, the previous one is cut/frozen .
When price retests a Swing Low and the candle conditions are met (bar n bullish, bar n-1 bearish), the script checks:
Whether RSI at n/n-1 is higher than the RSI at the swing (bullish divergence logic)
Whether min RSI at the swing is below a threshold (default < 36) to focus on oversold swing areas
If all conditions pass, the indicator prints an upward triangle right when bar n closes → a potential BUY signal.
How to use
Enter BUY when an up triangle appears at/near the Swing Low (liquidity sweep zone).
Stop Loss idea: below the most recent swing low / below the sweep wick.
Take Profit idea: nearest supply zone, prior high, or fixed RR such as 1:2 / 1:3 depending on your system.
Recommended settings
Best on: M5–H1 (depending on your style), especially effective when price is trending down and performs a clear sweep.
For stricter filtering: lower Max minRSI at Swing (x) to only take signals from deeper RSI lows.
Smaller Pivot Lookback → more swings/signals; larger values → fewer but cleaner swings.
Note: This tool improves probability, not certainty. Combine it with market structure / key levels and proper risk management for best results.
BTC - ALSI: Altcoin Season Index (Dynamic Eras)Title: BTC - ALSI: Altcoin Season Index (Dynamic Eras)
Overview & Philosophy
The Altcoin Season Index (ALSI) is a quantitative tool designed to answer the most critical question in crypto capital rotation: "Is it time to hold Bitcoin, or is it time to take risks on Altcoins?"
Most "Altseason" indicators suffer from Survivor Bias or Obsolescence. They either track a static list of coins that includes "dead" assets from previous cycles (ghosts of 2017), or they break completely when major tokens collapse (like LUNA or FTT).
This indicator solves this by using a Time-Varying Basket. The indicator automatically adjusts its reference list of Top 20 coins based on historical eras. This ensures the index tracks the winners of the moment—capturing the DeFi summer of 2020, the NFT craze of 2021, and the AI/Meme narratives of 2024/2025.
Methodology
The indicator calculates the percentage of the Top 20 Altcoins that are outperforming Bitcoin over a rolling window (Default: 90 Days).
The "Win" Count: For every major Altcoin performing better than BTC, the index adds a point.
Dynamic Eras: The basket of coins changes depending on the date:
2020 Era (DeFi Summer): Tracks the "Blue Chips" of the DeFi revolution like UNI, LINK, DOT, and early movers like VET and FIL.
2021 Era (Layer 1 Wars): Tracks the explosion of alternative smart contract platforms, adding winners like SOL, AVAX, MATIC, and ALGO.
2022 Era (The Survivors): Filters for resilience during the Bear Market, solidifying the status of established assets like SHIB and ATOM.
2023 Era (Infrastructure & Scale): Captures the rise of "Next-Gen" tech leading into the pre-halving year, introducing TON, APT (Aptos), and ARB (Arbitrum).
2024/25 Era (AI & Speed): Tracks the current Super-Cycle leaders, focusing on the AI narrative (TAO, RNDR), High-Performance L1s (SUI), and modern Memes (PEPE).
Chart Analysis & Strategy ( The "Alpha" )
As seen in the chart above, there is a strong correlation between ALSI Peaks and local tops in TOTAL3 (The Crypto Market Cap excluding BTC & ETH).
The Entry (Rotation): When the indicator rises above the neutral 50 line, it signals that capital is beginning to rotate out of Bitcoin and into Altcoins. This has historically been a strong confirmation signal to increase exposure to high-beta assets.
The Exit (Saturation): When the indicator hits 100 (or sustains in the Red Zone > 75), it means every single Altcoin is beating Bitcoin. Historically, this extreme exuberance often marks a local top in the TOTAL3 chart. This is the zone where smart money typically sells into strength, rather than opening new positions.
How to Read the Visuals
🚀 Altcoin Season (Red Zone > 75): Strong Altcoin dominance. The market is "Risk On."
🛡️ Bitcoin Season (Blue Zone < 25): Bitcoin dominance. Alts are bleeding against BTC. Historically, this is a defensive zone to hold BTC or Stablecoins.
Data Dashboard: A status table in the bottom-right corner displays the live Index Value, current Regime, and a System Check to ensure all 20 data feeds are active.
Settings
Lookback Period: Default 90 Days. Lowering this (e.g., to 30) makes the index faster but noisier.
Thresholds: Adjustable zones for Altcoin Season (Default: 75) and Bitcoin Season (Default: 25).
Credits & Attribution
This open-source indicator is built on the shoulders of giants. I acknowledge the original creators of the concept and the pioneers of its implementation on TradingView:
Original Concept: BlockchainCenter.net. - They established the industry standard definition: 75% of the Top 50 coins outperforming Bitcoin over 90 days = Altseason..
TradingView Implementation: Adam_Nguyen - He implemented the "Dynamic Era" logic (updating the coin list annually) on TradingView. Our code structure for the time-based switching is inspired by his methodology. See also his implementation in the chart. ( Altcoin Season Index - Adam) .
Comparison: Why use ALSI | RM?
While inspired by the above, ALSI introduces three key improvements:
Open Source: Unlike other popular TradingView versions (which are closed-source), this script is fully transparent. You can see exactly which coins are triggering the signal.
Sanitized History (Anti-Fragile): Historical Top 20 snapshots are not blindly used. "Dead" coins (like LUNA and FTT) from previous eras are manually filtered out. A raw index would crash during the Terra/FTX collapses, giving a false "Bitcoin Season" signal purely due to bad actors. The curated list preserves the integrity of the market structure signal.
Narrative Relevance: The 2024/25 basket was updated to include TAO (Bittensor) and RNDR, ensuring the index captures the dominant AI narrative, rather than tracking fading assets from the previous cycle.
You can compare the ALSI indicator with other available tradingview indicators in the chart: Different indicators for the same idea are shown in the 3 Pane window below the BTC and Total3 chart, whereas ALSI is the top pane indicator.
Important Note on Coin Selection Baskets are highly curated: Dead/irrelevant coins (FTT, LUNA, BSV) are excluded for clean signals. This prevents historical breaks and ensures Era T5 captures current narratives (AI, Memes) via TAO/RNDR. See above. Users are free to adjust the source code to test their own baskets.
Disclaimer
This script is for research and educational purposes only. Past correlations between ALSI and TOTAL3 do not guarantee future results. Market regimes can change, and "Altseasons" can be cut short by macro events.
Tags
bitcoin, btc, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths
Trading Value RSI (NQ Tuned)The Trading Value RSI (NQ Tuned) is an indicator that applies the RSI calculation to trading value, defined as volume × close, rather than just price. It is specifically tuned for Nasdaq 100 futures (NQ), with a default RSI length of 24, overbought level at 75, and oversold level at 25 to filter out false signals from high volatility. The indicator visually colors the RSI line based on overbought (red), oversold (green), or neutral (blue) conditions. A horizontal midline at 50 helps identify potential trend direction changes or confirm ongoing momentum. This tool allows traders to monitor capital flow intensity, giving insight into when strong buying or selling pressure may drive short-term market moves.
Resampling Reverse Engineering Bands XRREB X: Visual Oscillator Projection Bands
Based on the innovative "Resampling Reverse Engineering" concept pioneered by Donovan Wall, this enhanced script fixes the core mathematical symmetry and provides anchored, non-repainting bands for reliable analysis.
This indicator transforms any RSI, Stochastic, or CCI calculation directly onto your price chart as dynamic support/resistance bands. Instead of watching an oscillator below your chart, you see its overbought/oversold levels projected as price levels the market must reach.
RREB X reverses standard oscillator formulas to answer one question: "What price must the market reach for my chosen oscillator to hit an extreme level like RSI=70, Stoch=80, or CCI=100?" It then plots these levels as actionable bands.
Key Improvements
Adjustable Oscillator Values - While the original was hard coded the reverse engineered oscillator length which limited its usefulness, this script finally allows you to visualize any length oscillator as dynamic OB/OS regions directly on the chart.
Dynamic OB/OS levels: This version also lets you dynamically adjust the OB/OS levels location, making bands tighter or wider as your strategy demands.
Mathematical Symmetry: Outer bands are perfect mirrors, providing reliable projected levels.
Fixed Anchoring: Bands don't repaint historically, offering stable reference lines.
Direct Price Translation: Oscillator overbought/oversold conditions are visualized as clear price levels.
The Band Calculation Type switch lets you project different oscillator logics, each with unique characteristics for different market conditions.
RRSI - General trend & momentum. Change RSI Period (e.g., 7 for fast, 21 for slow). Adjust OB/OS (e.g., 80/20 for strong trends). The bands show the price needed to push your custom RSI into overbought/oversold territory.
RStoch - Ranging markets & short-term reversals. Focus on the Stochastic Period. The projected bands are highly sensitive to recent highs/lows. Excellent for spotting reversals at the edges of a range.
RCCI - Strong trends & volatile markets. Use a higher Outer Bands Multiplier. CCI's lack of upper/lower bounds means bands reflect extreme momentum shifts. Great for identifying explosive breakout or breakdown levels in trends.
Use Middle Band as Filter: Price above the white middle band suggests a bullish bias for long setups; below suggests bearish for shorts. Same as the 50 midline on the RSI or Stochastic or 0 for CCI.
Customizing the Calculation:
The power lies in changing the oscillator lengths that the bands reflect. Adjust these in the settings:
Change from 14 to 7 for faster, more reactive bands, or to 21 for slower, smoother bands.
Overbought/Oversold: Change from 70/30 to 80/20 for stronger-trend filters, or to 60/40 for more frequent signals.
Trading the Bands:
Bands as Dynamic S/R: The solid cyan (Upper 100) and magenta (Lower 0) bands act as dynamic support and resistance. A touch and reversal can signal a trade.
Gradient as Momentum: The colored fills between bands visually represent the "pressure" needed to reach the next oscillator level.
Middle Band as Trend Filter: Price above the white middle band suggests a bullish bias for long setups; below suggests bearish for short setups.
Take Profit XTake Profit X
Take Profit X solves the #1 problem in trading: knowing when to exit. Instead of guessing or using single indicators, it aggregates 8 technical signals to identify high-probability exit points through multi-confirmation consensus. This eliminates premature exits and emotional decision-making.
The indicator counts confirmations from your chosen technical tools:
Green dot = Multiple signals say "take profit on longs/exit shorts"
Red dot = Multiple signals say "take profit on shorts/exit longs"
Signals appear when you reach the minimum confirmations threshold you set.
Possible Settings:
Conservative (Swing Trading)
pine
Minimum Confirmations: 4
Use: RSI, MACD, CCI, Supertrend, Price Action
Disable: Stochastic, Bollinger Bands, EMA Cross
Look Back Bars: 10
Aggressive (Day Trading)
pine
Minimum Confirmations: 2
Use: All indicators ON
Look Back Bars: 3-5
RSI OB/OS: 75/25
Balanced (Most Markets)
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Minimum Confirmations: 3
Use: RSI, MACD, CCI, Supertrend
Price Action: ON
Look Back Bars: 5-7
