55/20 Wilder's MACD Trend Armbrust Capital55/20 Wilder's MACD Trend Armbrust Capital
For CTA analysis of W bar trend, D bar hedge
ストラテジー
MACD (移動平均収束拡散手法)
RSI & MACD MTF Station [v2c_cha]Overview
The RSI & MACD MTF Heatmap Station is a comprehensive, all-in-one momentum and trend analysis tool designed to eliminate chart clutter. Traditionally, traders relying on Multi-Timeframe (MTF) analysis must either split their screens into multiple layouts or flood their indicator panels with overlapping "spaghetti" lines. This indicator solves that problem by consolidating the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) across 9 different timeframes into a single, compact visual Heatmap.
Core Concepts & Calculations
This indicator relies on the standard mathematical formulas for RSI (default 14 periods) and MACD (default 12, 26, 9). However, its core value lies in how it processes and displays this data:
Non-Repainting MTF Data: All higher-timeframe data is fetched using barmerge.lookahead_off and barmerge.gaps_off to ensure strict compliance with non-repainting rules. What you see on historical bars is exactly what would have printed in real-time.
Visual Anchoring: To display both the current RSI and current MACD lines harmoniously in the same pane without skewing the scale, the MACD line is mathematically anchored to the RSI's 50-level (neutral line).
How to Read the Heatmap Dashboard
The dashboard is a 9-column by 3-row matrix located in the corner of your screen, covering timeframes from 1-minute to 1-Month.
Row 1 (RSI - Extreme Momentum): This row measures whether an asset is mathematically overbought or oversold.
🔴 Red (RSI >= 70): Overbought. The asset is extended to the upside in this specific timeframe.
🟢 Green (RSI <= 30): Oversold. The asset is extended to the downside.
⚫ Dark Gray (31-69): Neutral. The asset is flowing within normal momentum boundaries.
Row 2 (MACD - Trend Direction): This row measures the overarching trend control based on the MACD main line crossing the Zero line.
🟢 Green (MACD > 0): Bullish trend control.
🔴 Red (MACD < 0): Bearish trend control.
Practical Trading Application (Top-Down Analysis)
This tool excels at spotting high-probability continuation setups by aligning the macro-trend with micro-momentum pullbacks.
Example Setup (The Buy Dip): A trader observing a 5-minute chart looks at the dashboard. The MACD row shows Green for the 1H and 4H timeframes, indicating a strong macro bullish trend. However, the RSI row shows Green (< 30) for the 5m and 15m timeframes. This tells the trader that while the macro trend is up, there is short-term panic/oversold conditions. This alignment provides a mathematical, rules-based area to look for long entries (buying the dip) in the direction of the macro trend.
Key Features & Customization
Fully Customizable: You can change the lengths and smoothing periods for both the RSI and MACD.
Dashboard Positioning: Move the heatmap to any corner of the screen to fit your layout.
Decluttered Charting: By default, only the current timeframe's RSI and MACD lines are plotted, while all MTF data is neatly organized inside the heatmap.
Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice or guarantee profitable trades. Always combine momentum and trend indicators with proper risk management and price action analysis.
インジケーター
ADX/ MACD/ 200 EMA Strawberry Signals 🍓 Strawberry Signals 🍓
The Strawberry Signals indicator is a trend-following trading tool designed to help traders identify high-probability market entries by combining three core components:
trend direction (EMA 200), momentum (MACD), and trend strength (ADX) .
Signals are only displayed on confirmed candles to ensure stability and avoid repainting behavior.
📌 Indicator Concept
This indicator focuses on trading in the direction of the dominant trend. Instead of generating frequent signals, it filters out low-quality market conditions and only highlights setups where trend, momentum, and strength are aligned.
The goal is to reduce noise and help traders focus on clearer market structures rather than overtrading in sideways conditions.
📊 Core Components
1. EMA 200 – Trend Filter
The EMA 200 is used as the primary trend direction filter.
- Price above EMA 200 → bullish market structure
- Price below EMA 200 → bearish market structure
This ensures that signals are always aligned with the higher timeframe bias of the market.
2. MACD – Momentum Confirmation
The MACD crossover is used to confirm momentum shifts in the direction of the trend:
- Bullish signal: MACD line crosses above signal line
- Bearish signal: MACD line crosses below signal line
This helps identify moments where momentum supports the trend direction.
3. ADX – Trend Strength Filter
The ADX is used to measure whether the market is strong enough for trend trading.
Only when ADX is above the selected threshold (default: 20) will signals be allowed.
- Low ADX → weak or sideways market (no signals)
- High ADX → strong trend conditions (valid signals)
🟢 Buy Signal Conditions
Price is above the EMA 200
MACD line crosses above the signal line
ADX is above the defined threshold (trend strength confirmed)
Signal is confirmed on candle close (no intrabar signals)
🔴 Sell Signal Conditions
Price is below the EMA 200
MACD line crosses below the signal line
ADX is above the defined threshold (trend strength confirmed)
Signal is confirmed on candle close (no intrabar signals)
⚙️ Settings Overview
EMA Length: Defines the trend filter (default: 200)
MACD Settings: Controls momentum sensitivity (fast, slow, signal)
ADX Length: Smoothness of trend strength calculation
ADX Threshold: Minimum trend strength required for signals
📉 Market Conditions
This indicator performs best in trending environments where price moves directionally with momentum.
During sideways or low-volatility conditions, fewer signals will appear by design, as weak trends are filtered out.
👤 My Personal Use
This indicator is intentionally designed to produce fewer signals. Entries are only generated at the exact moment of a MACD crossover when all required conditions are aligned. I use it for XAUUSD on the 1M chart but I'm confident for it to work on different instruments.
In my personal trading, I also monitor situations where the ADX rises above the threshold after the MACD crossover. If momentum remains strong and the overall trend structure (EMA direction) is still valid, these scenarios can still offer interesting trade opportunities even if no signal was printed.
For better decision-making, I recommend displaying the MACD and ADX directly on the chart alongside this indicator. This helps to visually confirm momentum development for trading and trend strength beyond the signal itself.
⚠️ Important Notes
This indicator is designed for educational and analytical purposes.
It does not guarantee profitable trades.
Always combine signals with proper risk management and additional confirmation tools and market structure if needed.
🍓 Summary
Strawberry Signals provides a clean and structured approach to trend trading by combining multiple technical indicators into a single signal system.
It is built to reduce noise, filter weak setups, and highlight only high-quality trend-aligned opportunities directly on the chart.
インジケーター
MACD + RSI + MFI + A/D by Ismael█ OVERVIEW
A 4-in-1 oscillator panel combining MACD, RSI with Bollinger Bands and
custom Buy/Sell signals, Money Flow Index (MFI), and Accumulation/Distribution.
Each module can be toggled on/off independently from a single "Toggle
Indicators" group, so the user can display only what they need instead of
loading four separate scripts.
═══════════════════════════════════════════════════════════════════════
█ ORIGINALITY
This script does not invent new math — it integrates four well-known
built-in indicators into a single pane and adds three conveniences:
- A unified toggle system to show/hide each indicator on demand.
- A custom RSI signal layer based on Bollinger Band breakouts of the
RSI itself, combined with the classic overbought/oversold zones.
- An A/D module that replicates the configuration style of the
MetaTrader 5 implementation (Tick/Real volume option and configurable
horizontal levels).
═══════════════════════════════════════════════════════════════════════
█ WHAT IT INCLUDES
▪ MACD (default: ON)
Standard MACD with configurable fast/slow lengths, signal smoothing,
and choice of SMA or EMA for both the oscillator and signal line.
Includes alerts for histogram polarity changes.
▪ RSI with Bollinger Bands and Buy/Sell signals (default: ON)
Classic RSI with optional smoothing MA (SMA, EMA, WMA, VWMA, SMMA,
or SMA + Bollinger Bands). When "SMA + Bollinger Bands" is selected:
- Buy signal: RSI closes below its lower Bollinger Band AND below 30.
- Sell signal: RSI closes above its upper Bollinger Band AND above 70.
Signals are plotted as arrows and include alert conditions.
▪ MFI (default: OFF)
Standard Money Flow Index with 80/50/20 horizontal levels.
▪ Accumulation/Distribution (default: OFF)
Classic cumulative A/D line. Configurable like the MT5 version:
- Volume mode: Real or Tick (1 per bar, useful for FX).
- 3 user-defined horizontal levels with individual visibility/color.
- Color and line width.
Includes alerts for crossovers against its own SMA(20).
═══════════════════════════════════════════════════════════════════════
█ HOW TO USE
1. Activate from "Toggle Indicators" only the modules you need.
2. RSI Buy/Sell signals are intended as confluence — not standalone
entries. They mark statistically rare conditions (extreme RSI combined
with a Bollinger Band breakout on the RSI) and should be confirmed
with price action, structure, or trend context.
3. MACD histogram polarity alerts can be paired with RSI signals.
4. The A/D line is most useful when watched for divergences against price,
not for its absolute value.
═══════════════════════════════════════════════════════════════════════
█ LIMITATIONS
- The A/D line uses cumulative values that produce very large numbers.
When combined with MACD/RSI/MFI in the same pane, auto-scale will
compress the smaller-range indicators. Workaround: right-click the
A/D plot → "Pin to scale" → assign it to a separate scale.
- "Tick" volume here is approximated as 1 per bar; Pine Script does not
expose the tick-volume data used by MetaTrader 5. For instruments with
reliable real volume, use "Real".
- RSI Buy/Sell signals only fire when the smoothing MA type is set to
"SMA + Bollinger Bands". Other MA types disable the signal layer.
- This is an aggregator/utility script. It does not predict market
direction and is not a complete trading system.
═══════════════════════════════════════════════════════════════════════
█ DISCLAIMER
This script is shared for educational purposes only and is not financial
advice. Indicator signals do not guarantee future results. Always perform
your own analysis and apply proper risk management.
═══════════════════════════════════════════════════════════════════════
█ DESCRIPCIÓN (Español)
Panel de osciladores 4-en-1 que combina MACD, RSI con Bandas de Bollinger
y señales de compra/venta, MFI y Acumulación/Distribución. Cada módulo se
activa o desactiva de forma independiente desde el grupo "Toggle
Indicators".
Incluye:
- MACD estándar con alertas de cambio de polaridad del histograma.
- RSI con MA opcional (SMA, EMA, WMA, VWMA, SMMA o SMA+BB). Cuando
se elige "SMA + Bandas de Bollinger", aparecen señales:
- Compra: RSI por debajo de la banda inferior Y menor a 30.
- Venta: RSI por encima de la banda superior Y mayor a 70.
- MFI estándar con niveles 80/50/20.
- Acumulación/Distribución estilo MT5: volumen Real/Tick, 3 niveles
horizontales configurables, color y grosor ajustables, alertas de
cruce contra su SMA(20).
Las señales del RSI son herramientas de confluencia, no entradas
automáticas. La línea A/D se interpreta principalmente por divergencias
con el precio, no por su valor absoluto. Al activar A/D junto con los
demás osciladores, conviene moverla a una escala separada (clic derecho
sobre la línea → "Fijar a escala" → escala nueva).
Este script tiene fines educativos. No constituye asesoría financiera.
█ HOW TO USE
The RSI Buy/Sell signals (with their attached alerts) are the main
actionable element of this script and can be used to anticipate potential
entries — long on Buy signals, short on Sell signals. They fire under
statistically rare conditions (RSI breaking out of its own Bollinger Band
envelope while also being in extreme oversold/overbought territory),
which often precede a reversion or a meaningful move.
However, these signals should NOT be taken as standalone entries. They
work best as an early-warning system that must be confirmed before
acting on them. Recommended workflow:
1. RSI Buy/Sell signal fires → set alert and prepare the trade idea.
2. Look at the MACD for confirmation:
- For a Buy: histogram should be turning from falling to rising,
or MACD line crossing above Signal.
- For a Sell: histogram turning from rising to falling, or MACD
line crossing below Signal.
3. Check the MFI (if enabled): values pulling back from oversold (<20)
on Buys, or pulling back from overbought (>80) on Sells, add
confluence by confirming a money-flow shift.
4. Check the A/D line for divergences with price:
- Bullish divergence (price makes lower low, A/D makes higher low)
strongly supports a Buy signal.
- Bearish divergence (price makes higher high, A/D makes lower
high) strongly supports a Sell signal.
Divergences on RSI itself against price work the same way and are
one of the most reliable confirmation tools in this panel.
5. Always combine with price-action context: trend direction on higher
timeframes, key support/resistance, and your own risk management.
In short: the RSI signals are designed to ANTICIPATE trades, not to
trigger them automatically. The other modules (MACD, MFI, A/D) and
divergence analysis exist to filter the false positives and validate
the ones worth taking.
═══════════════════════════════════════════════════════════════════════
█ CÓMO USAR (Español)
Las señales de Compra/Venta del RSI (con sus alertas configuradas) son
el elemento principal accionable de este script y pueden usarse para
anticipar entradas — largos en señales de Compra, cortos en señales de
Venta. Se activan en condiciones estadísticamente poco frecuentes
(el RSI rompe su propia envolvente de Bandas de Bollinger mientras
está en zona de sobreventa o sobrecompra extrema), que suelen preceder
una reversión o un movimiento significativo.
Sin embargo, NO deben tomarse como entradas automáticas. Funcionan
mejor como un sistema de alerta temprana que debe confirmarse antes
de operar. Flujo recomendado:
1. Se dispara la señal del RSI → preparar la idea de trade.
2. Confirmar con MACD:
- Compra: histograma pasando de bajista a alcista, o cruce
del MACD por encima de la Signal.
- Venta: histograma pasando de alcista a bajista, o cruce
del MACD por debajo de la Signal.
3. Confirmar con MFI (si está activo): valores saliendo de
sobreventa (<20) en Compras o saliendo de sobrecompra (>80)
en Ventas indican un cambio en el flujo de dinero.
4. Buscar divergencias en la línea A/D contra el precio:
- Divergencia alcista (precio hace mínimo más bajo, A/D hace
mínimo más alto) refuerza una señal de Compra.
- Divergencia bajista (precio hace máximo más alto, A/D hace
máximo más bajo) refuerza una señal de Venta.
Las divergencias del propio RSI contra el precio funcionan igual
y son una de las confirmaciones más fiables de este panel.
5. Siempre combinar con contexto de price action: tendencia en
temporalidades superiores, soportes/resistencias clave y gestión
de riesgo propia.
En resumen: las señales del RSI están diseñadas para ANTICIPAR
trades, no para dispararlos automáticamente. Los otros módulos
(MACD, MFI, A/D) y el análisis de divergencias existen para filtrar
los falsos positivos y validar las entradas que realmente valen
la pena.
インジケーター
SwissTradeAcademy Money PrinterThe SwissTradeAcademy Money Printer is a professional-grade, multi-component trading indicator developed in Pine Script v6. It combines three powerful analysis methodologies into a single, high-performance tool, designed to keep your TradingView charts clean while providing comprehensive market insights.
Core Components
1. Super Bollinger Trend (SBT)
A dynamic trend-following system based on Bollinger Band volatility.
Trend Tracking: Uses an adaptive baseline that shifts based on price action and volatility.
Integrated ZigZag: Automatically identifies and connects local highs and lows to visualize market structure.
Signal Labels: Provides clear visual markers for trend shifts and price targets.
2. MACD Price Overlay
Unlike standard oscillators that sit in a separate pane, this MACD is projected directly onto the price chart.
Trend Momentum: Features a dual-line MACD (Fast/Slow) and a Signal line that change color based on momentum direction.
Visual Fill: Uses a dynamic color cloud to represent the gap between the MACD and Signal lines, highlighting bullish and bearish strength.
SMA 89 Filter: Includes a long-term 89-period Simple Moving Average to identify the "Golden Mean" and primary market direction.
3. 4-in-1 Multi-Timeframe MAs
A flexible Moving Average engine that allows for deep customization.
Versatile Types: Choose from SMA, EMA, WMA, RMA, HMA, or VWMA.
Multi-Timeframe (MTF) Support: Plot MAs from higher timeframes (e.g., 1H or Daily) directly onto your current lower-timeframe chart.
Custom Sources: Calculate averages based on Open, High, Low, Close, or HL2.
Key Features
Pine Script v6 Optimized: Built with the latest TradingView standards for maximum execution speed and reliability.
Organized Settings: All parameters are logically grouped in the "Inputs" tab for easy configuration.
Clean Interface: Combines three indicators into one, saving valuable indicator slots for free-tier users and reducing chart clutter.
How to Use
Trend Confirmation: Look for alignment between the Super Bollinger Trend color and the MACD cloud color.
Support & Resistance: Use the 89 SMA and the 200 EMA (MA 1) as major "institutional" levels for trade entries or exits.
Volatility Alerts: The ZigZag labels help track the distance of moves, assisting in setting realistic Take Profit levels.
インジケーター
MACD + 200 EMA + Support/Resistance Strategy This open-source strategy is an educational Pine Script implementation of a MACD + 200 EMA + support/resistance trading concept.
It was created to convert a visually explained strategy idea into clear, testable rules, so traders can study how the logic behaves under backtesting conditions.
The strategy combines three main components:
1. MACD momentum logic
2. A 200 EMA trend filter
3. A pivot-based support and resistance filter
For long setups, the strategy looks for a bullish MACD crossover below the zero line, while price is above the 200 EMA.
For short setups, the strategy looks for a bearish MACD crossover above the zero line, while price is below the 200 EMA.
A support and resistance filter can also be enabled. This filter uses confirmed pivot levels, wick-based touches, ATR-based tolerance, and a maximum level age to create a more objective interpretation of support and resistance behavior.
Main features:
- MACD default settings
- 200 EMA trend filter
- Optional pivot-based support and resistance filter
- Confirmed pivots only
- Wick-based touch detection
- ATR-based tolerance
- Long and short logic
- Multiple stop-loss modes
- Risk/reward based take-profit logic
- Optional pyramiding controls
- Strategy backtesting support
Stop-loss logic:
The script includes more than one stop-loss interpretation because the original concept does not define the stop placement with full precision.
Stop option 1:
A stop placed above or below the 200 EMA by a user-defined number of ticks.
Stop option 2:
A stop placed at the nearest valid swing within a user-defined lookback window. If no valid swing is found, the script falls back to the EMA-based stop.
Take-profit logic:
The take-profit target is calculated using a fixed risk/reward multiple based on the distance between entry and stop-loss.
Default risk/reward:
1.5R
Execution assumptions:
- Entries are placed on the next candle open after the signal bar.
- Exits are handled through stop-loss and take-profit only.
- MACD is calculated on close.
- EMA is calculated on close.
- Support and resistance levels are based on confirmed pivots only.
- The strategy is designed for educational backtesting and research, not for automatic live trading.
Important backtesting notes:
Backtest results can vary significantly depending on the symbol, timeframe, commission, slippage, spread, data provider, and strategy settings.
Users should always adjust commission and slippage settings to match the market being tested. A zero-cost setup may produce unrealistic results.
This script does not guarantee profitability, future performance, or a specific win rate.
This is not the original creator’s code. It is a testable logical interpretation of the strategy idea, built by converting unclear visual rules into explicit Pine Script conditions.
If you believe a different interpretation of the unclear parts would be more accurate, you can modify the open-source code and test your own version.
Disclaimer:
This script is provided for educational and research purposes only. It is not financial advice, investment advice, or a recommendation to buy, sell, short, or trade any asset.
Trading involves risk. Past performance and backtested results do not guarantee future results. Always do your own research and test thoroughly before using any strategy in live market conditions.
No strategy, indicator, or backtest can guarantee profits or eliminate trading risk.
ストラテジー
Adaptive MACD+ [MACD]Adaptive MACD+ is a self-optimizing momentum indicator that dynamically selects the most effective MACD parameters
Instead of relying on fixed fast and slow EMA lengths, this indicator continuously evaluates a range of combinations and automatically selects the pair that has been performing best on recent price action — delivering a MACD that adapts to changing market conditions and momentum cycles.
🔶 HOW IT WORKS
Traditional MACD uses fixed parameters, which may lag in fast markets or produce noise during consolidation. Adaptive MACD+ solves this by testing multiple fast and slow EMA combinations in parallel.
The process:
A range of fast EMAs (short-term) and slow EMAs (long-term) are calculated
Each combination generates its own MACD line
A performance scoring system evaluates how well each responds to momentum shifts
On every bar:
The best-performing fast and slow pair is selected
The MACD line is calculated using this optimal combination
A signal line (EMA of MACD) and histogram are derived as usual
This results in a MACD that continuously adapts its sensitivity to match current market momentum.
🔶 USAGE
🔹 MACD Structure
MACD Line (Blue/Red) — Represents momentum direction based on the adaptive EMA pair
Signal Line (Orange) — Smoothed version of the MACD line used for crossover signals
Histogram — Difference between MACD and signal line, showing momentum strength
Green histogram — Bullish momentum
Red histogram — Bearish momentum
🔹 Trade Signals
Green triangle (▲) — Bullish crossover. MACD crosses above the signal line, indicating potential upward momentum
Red triangle (▼) — Bearish crossover. MACD crosses below the signal line, indicating potential downward momentum
Because the EMA lengths are dynamically selected, these signals reflect momentum conditions that are optimized for recent price behavior — not fixed parameters.
🔶 SETTINGS
🔹 Calculation Settings
Source — Price used for calculations (default: close)
Min Fast Length — Lower bound for fast EMA range (more responsive)
Max Fast Length — Upper bound for fast EMA range (smoother)
Min Slow Length — Lower bound for slow EMA range
Max Slow Length — Upper bound for slow EMA range
Signal Length — EMA length applied to the MACD line to create the signal line
🔹 Visual Settings
Show Histogram — Toggle histogram display
Show Signal — Toggle signal line display
🔶 NOTES
Suitable for all markets and timeframes.
Works best as a momentum confirmation and trend-strength tool.
Adaptive EMA selection helps reduce lag during strong trends and noise during consolidation.
Can be combined with trend indicators for higher-probability setups.
Past performance of any selected EMA combination does not guarantee future results — always apply proper risk management.
インジケーター
Premium Flow MACD📊 Premium Flow MACD
Premium Flow MACD is an enhanced Moving Average Convergence Divergence indicator that combines momentum, liquidity sweeps, and market reaction to identify high-probability entries.
It integrates:
Projected momentum (early signals before zero-line cross)
Liquidity detection (stop hunts at highs/lows)
Reaction filters (displacement candles & volume spikes)
The Flow Ribbon visualization provides a smooth view of trend strength, momentum shifts, and acceleration.
✔️ Signals
Early + confirmed long/short entries
Optional bar-close confirmation
Clean chart markers + alerts
⚠️ Notes
Mix of predictive and confirmatory logic
Best suited for volatile, liquidity-driven markets
Built for traders focusing on precision entries and momentum timing.
インジケーター
DOUBLE MACD[jackieee]Description
This is a double MACD indicator based on the default MACD, designed to help identify both the higher-timeframe trend and the lower-timeframe rhythm at the same time.
The first MACD is recommended to be set to 55, 89, 1, and is used to identify the main trend on the higher timeframe. The second MACD is recommended to be set to 13, 21, 1, and is used to identify pullbacks within the larger trend, or smaller trend movements on the lower level.
In practice, the first MACD can be used to define the overall market direction, while the second MACD helps track whether a pullback is ending and whether a continuation opportunity is forming. This makes it easier to read both the larger trend and the smaller price rhythm within the same framework.
Reminder
please open the indicator style settings and untick the top “plot” line, otherwise an extra price line will appear and may affect chart readability.
インジケーター
EMA + MACD + RSI Confluence SignalDescription:
This indicator identifies high-probability trend reversal and continuation points by requiring three independent momentum conditions to align simultaneously before printing a signal. Once a signal is printed, no duplicate is shown until the opposite side triggers — keeping your chart clean and unambiguous.
Signal Logic
A BUY label appears when the last of the following three conditions falls into place while the other two are already active:
9 EMA crosses above 20 EMA (bullish alignment)
MACD line crosses above Signal line (golden cross)
RSI crosses above its own 14-period EMA (momentum shift)
A SELL label appears on the mirror-image bearish confluence.
Signals alternate strictly: after a BUY, no further BUY labels appear until a SELL is confirmed, and vice versa.
Confluence Ribbon
The ribbon filled between the 9 EMA and 20 EMA reflects real-time signal strength across 6 conditions:
# / Condition / Bull / Bear
1 / EMA alignment / Fast > Slow / Fast < Slow
2 / MACD cross / MACD > Signal / MACD < Signal
3 / RSI cross / RSI > RSI EMA / RSI < RSI EMA
4 / RSI level / RSI > 50 / RSI < 50
5 / RSI EMA level / RSI EMA > 50 / RSI EMA < 50
6 / MACD histogram / Histogram > 0 / Histogram < 0
The ribbon fades from nearly transparent (1 condition) to solid color (all 6), giving you an at-a-glance read of how strong the current trend environment is — even between signals.
Settings
Parameter / Default / Description
Fast EMA / 9 / Fast EMA period
Slow EMA / 20 / Slow EMA period
MACD Fast / 12 / MACD fast length
MACD Slow / 26 / MACD slow length
MACD Signal / 9 / MACD signal smoothing
RSI Length / 14 / RSI period
RSI EMA Length / 14 / EMA applied to RSI
RSI Level / 50 / Midline for conditions 4 & 5
How to Use
Add the indicator to any chart and timeframe. Works on all assets.
Watch the ribbon color: green = bullish pressure building, red = bearish. The more opaque, the more conditions are aligned.
Wait for a BUY or SELL label — this is your signal entry bar.
Use the ribbon between signals to gauge whether the trend is holding or weakening.
Set an alert via right-click → Add Alert on the indicator for hands-free notification.
Tips
Higher timeframes (15m, 1H) produce fewer but higher-quality signals.
A strong ribbon (5–6 conditions) that precedes a label increases conviction.
Combine with support/resistance or session levels for best results.
インジケーター
SHK CCI+RSI Merged | HA Signal MA | Dual Divergence | v6// ============================================================================
// DISCLAIMER: This script is for educational purposes only.
// The author is NOT responsible for any trading losses.
// Past performance does not guarantee future results.
// Trade entirely at your own risk.
// ============================================================================
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔷 SHK CCI+RSI MERGED — CLEAN 2-LINE OSCILLATOR
Powered by Pine Script v6
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Stop cluttering your chart with two separate oscillators.
This indicator fuses CCI and RSI into ONE intelligent
blended line — giving you stronger, more reliable signals
with less noise.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📐 HOW THE BLEND WORKS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
RSI is first normalized onto the CCI scale:
• RSI 50 → 0 (neutral / zero line)
• RSI 70 → +100 (overbought boundary)
• RSI 30 → -100 (oversold boundary)
Then both are averaged into one line:
➤ Blended = ( CCI + Normalized RSI ) / 2
The ±100 and ±200 levels now represent overbought
and oversold zones for BOTH indicators at once.
If RSI is disabled, the line falls back to pure CCI.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 WHAT YOU SEE — ONLY 2 LINES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
● LINE 1 — CCI+RSI Blended (thick)
Color changes dynamically based on position
relative to the Signal MA and zero line:
🟢 Bright Green → above MA + above zero (strong bull)
🟢 Faded Green → above MA + below zero (weak bull)
🔴 Bright Red → below MA + below zero (strong bear)
🔴 Faded Red → below MA + above zero (weak bear)
● LINE 2 — Signal MA (EMA / SMA / WMA)
Colored by Heikin Ashi candle direction:
🟢 Green MA → HA candle is bullish (trend rising)
🔴 Red MA → HA candle is bearish (trend falling)
The MA color flip is your early trend change warning —
before price confirms the move.
● HISTOGRAM — Strength Bars
Displayed behind the lines. Brighter color = deeper
into overbought / oversold territory.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📉 DUAL DIVERGENCE ENGINE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Two independent divergence detectors run simultaneously:
🟩 CCI+RSI Divergence (solid lines)
Pivot-based detection on the blended oscillator vs price:
• Lime solid line + "Bull Div" → Bullish divergence
• Red solid line + "Bear Div" → Bearish divergence
🟦 RSI-Only Divergence (dashed lines)
Detected on raw RSI pivots, plotted at normalized scale:
• Aqua dashed + "RSI Bull Div" → RSI bullish divergence
• Orange dashed + "RSI Bear Div" → RSI bearish divergence
Both engines use adjustable lookback and threshold
settings so you can tune sensitivity to your style.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚡ ZERO LINE CROSSES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔼 Green triangle at bottom → crossed above zero (bull)
🔽 Red triangle at top → crossed below zero (bear)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎨 EXTREME ZONE BACKGROUND
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Background shading activates when blended is in
an extreme zone (beyond ±100 and above/below MA):
🟢 Green background → strong bullish pressure
🔴 Red background → strong bearish pressure
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔔 BUILT-IN ALERTS (14 CONDITIONS)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ Strong Bullish signal (blended > +100 & above MA)
✅ Strong Bearish signal (blended < -100 & below MA)
✅ Zero line cross — bullish & bearish
✅ CCI+RSI crossed above +100
✅ CCI+RSI crossed below -100
✅ Overbought zone entry & exit
✅ Oversold zone entry & exit
✅ RSI crossed overbought / oversold
✅ RSI crossed above / below midline (50)
✅ Heikin Ashi flipped bullish (MA turns green)
✅ Heikin Ashi flipped bearish (MA turns red)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ SETTINGS & CUSTOMIZATION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CCI Settings
• Length (default 20), Source (default HLC3)
• Signal MA type: EMA / SMA / WMA
• Signal MA length (default 14)
CCI Levels
• Overbought: +200 | Oversold: -200
• Upper level: +100 | Lower level: -100
RSI Settings
• Enable / disable RSI blend
• Length (default 14), Source (default Close)
• OB / OS levels (default 70 / 30)
Features (each individually toggleable)
• CCI+RSI divergence lines
• RSI-only divergence lines
• Trend strength histogram
• Zero line cross markers
• Extreme zone background shading
Divergence Settings
• Lookback bars (1–20)
• CCI divergence threshold
• RSI divergence threshold
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💡 WORKS BEST WITH
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Key support and resistance levels on price chart
• VWAP or Volume Profile for confluence
• Higher timeframe trend bias confirmation
• All markets: Equities, Futures, Forex, Crypto, Commodities
• All timeframes: Scalping to Swing trading
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ DISCLAIMER
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This indicator is published for EDUCATIONAL and
INFORMATIONAL purposes only.
❌ This is NOT financial advice.
❌ This is NOT a buy or sell recommendation.
❌ Past performance does NOT guarantee future results.
Trading financial instruments including stocks, futures,
forex, commodities and cryptocurrencies involves
SUBSTANTIAL RISK OF LOSS and is not suitable for
every investor or trader.
The creator — SHK — is NOT responsible for any trading
losses, damages or financial consequences resulting
from the use or misuse of this indicator.
All trading decisions are SOLELY YOUR OWN RESPONSIBILITY.
You agree to trade entirely at YOUR OWN RISK.
Always conduct your own due diligence and consult a
qualified financial advisor before making any trading
or investment decisions.
By using this indicator you acknowledge and fully accept
all risks and release the author from any liability.
📌 TRADE SMART. MANAGE YOUR RISK. PROTECT YOUR CAPITAL.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
インジケーター
Flexible Moving Averages with MACD and RSI Every stock momentum can be identified either by crossing of higher EMA by lower EMA or MACD line crossing signal line and moving up or RSI value rising above 45 or 50. This indicator combines Moving averages with MACD and RSI
How to use:
Configure any or all of 5 moving averages according to your preference. It can be EMA or SMA. Configure symbols for MACD crossing or RSI rising.
By default, if RSI crosses above 50, green triangle appears below candle. If RSI crosses 50 and comes down, red inverted triangle appears above candle
By default, if MACD line crosses signal line and moves above, green dot appears below candle. If MACD line crosses signal line and moves down, red dot appears above candle
These indications can give the user how much time RSI and MACD crossing happened along with EMA crossovers. User can take calculated decision and risk
インジケーター
Monthly MACD + RSI Buy/Sell IndicatorIndicator is based on monthly MACD crossing signal line above and RSI above 55 to indicate a BUY signal and Monthly MACD crossing below signal line to indicate SELL. May be good strategy for some type of stocks like metals
インジケーター
MACD Pro Signals Full v8.52. Detailed Description (Large Text Box)
🌟 Indicator Introduction
This is a full-featured enhanced MACD indicator. Based on the classic MACD formula, it adds advanced visual upgrades, signal enhancements, and automatic divergence detection. It is suitable for all markets such as Stocks, Futures, Forex, and Cryptocurrencies.
It helps you quickly identify trends, momentum, trading signals, and reversal opportunities at a glance.
✨ Core Features
Color-Coded Momentum HistogramAutomatically distinguishes 4 states: Strong Bullish / Weak Bullish / Strong Bearish / Weak Bearish.Clearly shows the strength of current momentum and trend continuity, making it easy to judge whether the price is accelerating or weakening.
MACD & Signal Line Candle VisualizationConverts the traditional MACD line and Signal line into candlestick style.The color changes automatically with upward/downward trends, making trend turning points and momentum more intuitive than traditional lines.
Dual-Position Golden/Death Cross Markers
Main Chart: Displays "👍" (Golden Cross) and "👎" (Death Cross) above/below price bars for clear entry signals.
Subwindow: Synchronous markers on the MACD area, no overlap on the main chart, double confirmation without missing signals.
Auto Bullish/Bearish Divergence DetectionAutomatically scans price and MACD divergence structures.Draws divergence lines in the subwindow and marks strength percentage (0-100%) on the main chart.Perfect for capturing high-probability trend reversals.
Full CustomizationSupports adjusting MACD periods, all element colors, label offsets, and pivot parameters.Adaptable to different assets and time frames.
📊 How to Use
Bullish Signal: Golden Cross 👍 + Zero Line Above + Expanding Bullish Histogram + Bullish Divergence = Strong Long Opportunity
Bearish Signal: Death Cross 👎 + Zero Line Below + Expanding Bearish Histogram + Bearish Divergence = Strong Short Opportunity
Divergence Usage: The higher the percentage, the stronger the divergence signal, and the higher the probability of a trend reversal.
インジケーター
MACD 6-20 Fast MACD with Signal ArrowsMACD 6/20 — Fast MACD with Signal Arrows
A faster MACD variant using EMA 6/20 instead of the standard 12/26 settings, with a 9-period signal line. Designed for traders who want earlier trend detection and quicker crossover signals.
What it does:
This indicator plots the MACD line (EMA 6 minus EMA 20) against a 9-period EMA signal line, with a color-coded histogram and visual crossover arrows.
Features:
- MACD line (blue) and Signal line (orange)
- Histogram: green when MACD > Signal, red when MACD < Signal
- Green triangle arrows at bullish crossovers (MACD crosses above Signal)
- Red triangle arrows at bearish crossovers (MACD crosses below Signal)
- All parameters adjustable (Fast Length, Slow Length, Signal Smoothing)
- Histogram can be toggled on/off
Why 6/20 instead of 12/26?
The shorter EMA periods make the indicator more responsive to price changes. The 6/20 combination catches trend shifts earlier than the standard MACD, which is useful for swing trading and intraday setups. The trade-off is more signals — filter with higher timeframe context or price action confirmation.
How to use:
- Bullish signal: green arrow (MACD crosses above Signal)
- Bearish signal: red arrow (MACD crosses below Signal)
- Histogram expansion confirms momentum
- Works on all timeframes — best combined with multi-timeframe analysis (e.g. Weekly/Daily for direction, 5min for entries)
Settings:
- Fast Length: 6 (default)
- Slow Length: 20 (default)
- Signal Smoothing: 9 (default)
- Source: Close (default)
インジケーター
Momentum Fusion Index: Dual-MTF RSI & MACD Momentum Fusion Index: Dual-MTF RSI & MACD
The Momentum Fusion Index (MFI) is a high-performance hybrid engine that merges the precision of RSI with the trend-following power of MACD into a unified, noise-filtered oscillator. This version introduces Dual-MTF (Multi-Timeframe) Logic, allowing traders to bridge the gap between short-term execution and long-term trend direction within a single indicator panel.
🚀 Key Features
* Dual-MTF Engine: Analyze two timeframes simultaneously. Stay on your execution chart (e.g., 5m or 15m) while monitoring the high-level momentum (e.g., 1H or 4H) on a secondary, non-intrusive line.
* Symmetrical Fusion Logic: Standard RSI (0–100) and MACD (unbounded) are mathematically transformed into a balanced -100 to +100 scale, providing a standardized environment for momentum analysis.
* Dynamic Normalization: The script utilizes a 200-bar Normalization Range to anchor the MACD within fixed boundaries, making it easy to identify historical extremes and exhaustion points.
* Directional Adaptive Coloring: The primary signal line changes color based on its trajectory. Bright Green signals accelerating bullish momentum, while Vibrant Red signals a momentum slowdown or bearish shift.
🧠 Mathematical Logic
The MFI operates by calculating the relative position of the MACD within its recent range and merging it with a centered RSI. This ensures that the oscillator doesn't just show if a trend is "up," but how much "power" is behind that move relative to both price history and oscillator strength. By fusing these two, it offsets the lagging nature of MACD with the leading characteristics of RSI.
🛠️ How to Use
1. Confluence Trading: Enable the Secondary Timeframe in settings. When both the Primary (thick) and Secondary (thin) lines align in the same direction above or below the Zero Line, you have a high-probability momentum setup.
2. The Zero-Line Pivot: Crosses above the Zero Balance Line mark bullish transitions, while crosses below mark bearish momentum shifts.
3. The Power Zones (±50): Momentum is considered "High Conviction" when the line sustains itself above +50 (Strong Bull) or below -50 (Strong Bear).
4. Momentum Exhaustion: When the Fusion line hits the ±100 Extremes, watch for price exhaustion and potential mean-reversion.
⚙️ Settings
* Primary Timeframe: Set the main calculation TF. Leave empty to auto-lock to your current chart.
* Secondary Timeframe (MTF 2): Toggle this on to overlay a second time-period (e.g., Daily) for macro trend confirmation.
* Fusion Core: Customize RSI periods and MACD EMA lengths to suit your specific asset.
* Smoothing: Adjust the Fusion Smoothing to filter out noise or increase responsiveness.
📌 Credits & Origins
This work is a synthesis of the foundational mathematics pioneered by J. Welles Wilder (RSI) and Gerald Appel (MACD). It is designed for traders who require a mathematically grounded, unified view of market strength.
Disclaimer: All indicators are probabilistic. The Momentum Fusion Index is a decision-support tool and does not guarantee profits. Always use stop-losses and follow your risk management plan.
インジケーター
Fade The Crowd Protocol >_A structured contrarian system that deliberately inverts conventional MACD + VWMA momentum signals — entering short when the crowd goes long, and long when the crowd goes short. Filtered by ADX, Choppiness Index, and a configurable cooldown timer, the strategy ensures fades execute only at statistically credible exhaustion points, not into directionless noise. Exits are managed through ATR%-normalized take profit and stop loss levels anchored to fill price, with a hard-cap Plug stop bounding maximum loss on every trade.
═══════════════════════════════════════
THE CONTRARIAN PREMISE
═══════════════════════════════════════
When a conventional momentum setup reaches full confirmation — MACD crossover, positive histogram, price at or above VWMA — the crowd is already positioned. Late-stage consensus entries carry elevated mean-reversion risk. The Fade The Crowd Protocol identifies that exact moment of crowd consensus and enters against it.
This is not arbitrary signal flipping. The inversion is applied to a well-defined, multi-condition setup. ADX and Choppiness filters ensure the fade occurs within a trending, structured market environment. A cooldown timer enforces separation between trades, preventing rapid re-entry after stop-outs.
═══════════════════════════════════════
THE INVERSION LOGIC
═══════════════════════════════════════
Conventional long setup → Fade The Crowd goes SHORT
Condition: MACD crossover + histogram above zero + price touches or exceeds VWMA
Crowd interpretation: Bullish momentum confirmed, late buyers entering
Fade interpretation: Crowd is fully long — exhaustion and reversion risk is elevated
Conventional short setup → Fade The Crowd goes LONG
Condition: MACD crossover + histogram below zero + price touches or falls to VWMA
Crowd interpretation: Bearish momentum confirmed, late sellers entering
Fade interpretation: Crowd is fully short — bounce and reversion risk is elevated
Both directions additionally require: CHOP below threshold, ADX above threshold, cooldown timer cleared, and no existing open position.
═══════════════════════════════════════
KEY FEATURES
═══════════════════════════════════════
Signal Inversion Engine
— MACD crossover (either direction) as the base crowd-consensus event
— Histogram sign identifies which direction the crowd is leaning
— VWMA touch confirms price has aligned with the dominant crowd position
— Entry is taken against all three simultaneously satisfied conditions
Cooldown Timer
— Tracks bar index at every trade exit via last_exit_bar variable
— All new entries blocked for a configurable number of bars post-exit
— Prevents rapid re-entry sequences following volatile stop-out events
— Configurable independently of all other filters
ADX + Choppiness Index Filters
— CHOP below threshold confirms the market exhibits directional structure
— ADX above threshold confirms sufficient trend force at signal bar
— Both filters must pass simultaneously with the inversion signal
— Prevents fading in low-conviction, oscillating environments where mean reversion is unreliable
Two-Step ATR% Exit Architecture
— ATR% captured and stored at trigger bar before entry executes
— TP and SL calculated from strategy.position_avg_price on first position bar
— Exit levels locked — no recalculation on subsequent bars
— TP HIT and SL HIT comments displayed on chart for post-hoc analysis
The Plug — Hard Stop Architecture
— Independent hard percentage stop applied to every trade
— For longs: fill_price × (1 − Plug%). For shorts: fill_price × (1 + Plug%)
— Compared against ATR SL using math.max() / math.min() — tighter stop always applied
— Ensures maximum loss is bounded regardless of ATR expansion at entry
═══════════════════════════════════════
HOW IT WORKS
═══════════════════════════════════════
Step 1 — Crowd Consensus Detection
The strategy evaluates three conditions that define a fully-formed conventional momentum signal: MACD has crossed its signal line (ta.cross), the MACD histogram confirms directional bias (above zero for bullish, below for bearish), and price has touched or breached the VWMA in the same direction (high >= VWMA for bullish, low <= VWMA for bearish). When all three align, the crowd is fully positioned.
Step 2 — Environment Filtering
Choppiness Index below threshold confirms the market is not ranging — a prerequisite for meaningful momentum exhaustion. ADX above threshold confirms trend force exists. Cooldown timer confirms sufficient bar-distance from the prior trade exit. All three environmental conditions must pass simultaneously with the crowd signal.
Step 3 — Contrarian Entry
The strategy enters in the opposite direction to the crowd consensus: short against the bullish setup, long against the bearish setup. ATR% at the trigger bar is captured into stored_atr_pct before the entry order executes.
Step 4 — Exit Level Calculation
On the first bar where position size is non-zero (position just opened), TP and SL prices are calculated using strategy.position_avg_price and the stored ATR%. The Plug stop is calculated independently. math.max() (longs) or math.min() (shorts) selects whichever stop is tighter. All levels are stored in fixed variables and passed to strategy.exit() — no dynamic recalculation occurs mid-trade.
═══════════════════════════════════════
WHY MACD + VWMA AS THE CROWD PROXY
═══════════════════════════════════════
MACD is one of the most widely used momentum indicators in retail trading. VWMA incorporates volume-weighted price — a common institutional reference level. Together, they define a setup that is broadly taught, widely traded, and reliably over-populated at the moment of full confirmation. The Fade The Crowd Protocol uses this familiarity as a structural edge: the more crowded the conventional signal, the more statistical force the fade carries when those positions unwind.
ストラテジー
AG Pro HTF Bias Dashboard [AGPro Series]AG Pro HTF Bias Dashboard
Overview / What it does
AG Pro HTF Bias Dashboard is a higher-timeframe context tool built for traders who want a fast, structured view of directional conditions across multiple larger timeframes without crowding the chart with extra signals, zones, or decision noise.
The script summarizes higher-timeframe bias in a compact dashboard and presents each selected row as Bull, Bear, or Neutral, together with a mode-specific status readout. The goal is not to predict the next candle or replace a full trade plan. The goal is to make larger-timeframe context easier to read at a glance.
This indicator is designed to answer a simple but important workflow question: "What is the broader directional environment across the higher timeframes I care about right now?" Instead of forcing the user to manually flip through multiple charts and compare structure or trend conditions one by one, the dashboard keeps that information visible in a single panel.
The script supports multiple bias engines so the same dashboard can be adapted to different styles of chart reading. Users can evaluate higher-timeframe context through EMA Stack alignment, confirmed Swing Structure, SuperTrend direction, or MACD Momentum agreement. This makes the tool flexible enough for trend-following traders, structure-based traders, and users who prefer momentum-style confirmation.
Unlike many overlays that try to combine entries, exits, alerts, pattern detection, and signal generation inside one study, this script stays focused on one task: higher-timeframe directional context. That single-purpose design is intentional. It keeps the output clean, readable, and easier to integrate into an existing process.
Unique Edge
The main strength of this script is not signal generation. Its edge is structured context compression.
Instead of plotting a large number of higher-timeframe elements directly on the chart, AG Pro HTF Bias Dashboard converts higher-timeframe conditions into a compact visual matrix. This makes it possible to assess multi-timeframe agreement quickly while keeping the chart itself relatively clean.
A second differentiator is the ability to switch the bias engine. The dashboard is not locked to one interpretation framework. Users can work with:
- EMA Stack, for ribbon-style alignment
- Swing Structure, for confirmed HH/HL and LH/LL progression
- SuperTrend, for ATR-based directional trend state
- MACD Momentum, for momentum agreement between line, signal, and histogram
Another important detail is the higher-timeframe validity filter. Rows that are not actually higher than the current chart timeframe are marked as Lower/EQ instead of being treated as valid higher-timeframe context. This helps keep the dashboard aligned with its intended purpose.
The script also includes confluence logic, so the user can see not only the state of each row, but also the dominant higher-timeframe bias and how many valid rows support that direction. In practice, this helps users distinguish between broad directional agreement and mixed conditions.
Methodology
The dashboard can display three to five higher-timeframe rows, depending on user settings. Each row evaluates one selected timeframe and classifies it into Bull, Bear, or Neutral.
Bias Mode options:
1) EMA Stack
This mode evaluates directional alignment using a three-EMA structure. A bullish state requires price and the EMA ribbon to be aligned in bullish order. A bearish state requires the opposite alignment. When the full sequence is not aligned, the row can remain neutral and display a partial status such as 2/3 or 1/3 rather than forcing a directional label.
2) Swing Structure
This mode uses confirmed pivot logic to read higher-timeframe structure. It looks for confirmed higher highs / higher lows or lower highs / lower lows, and then evaluates position relative to the active swing range. Because this logic depends on confirmed pivots, structure changes are naturally more selective and may appear later than faster trend models.
3) SuperTrend
This mode reads directional state using an ATR-based trend framework. It is intended for users who prefer a cleaner directional state model rather than ribbon alignment.
4) MACD Momentum
This mode classifies bias through agreement between the MACD line, signal line, and histogram. It is useful for traders who prefer momentum confirmation over structure or moving-average ordering.
The dashboard then calculates:
- the number of valid bullish rows
- the number of valid bearish rows
- the dominant higher-timeframe state
- the confluence count across valid rows
Optional chart context features are also included. Depending on settings, the script can color candles according to the active chart bias, plot the active EMA ribbon or SuperTrend on the chart, apply a subtle background tint when confluence is strong enough, and show a compact mini context tag on the chart.
States / Context Output
This indicator is a context dashboard, not an alert engine.
It does not generate buy or sell alerts, does not mark trade entries, and does not claim to identify optimal execution points. Its outputs are state-based and contextual:
- Bull
- Bear
- Neutral
- Confluence summary
- Mode-specific status text
The mini chart tag, when enabled, is only a compact summary of dominant higher-timeframe direction and current confluence. It should be read as context, not as a trade instruction.
Key Inputs
Higher Timeframes
Users can select three to five rows and define the exact higher timeframes to monitor.
Bias Mode
Choose between EMA Stack, Swing Structure, SuperTrend, and MACD Momentum.
Engine Parameters
The script exposes relevant inputs for each engine, including EMA lengths, Swing Strength, SuperTrend ATR settings, and MACD settings.
HUD Controls
The panel position and panel scale can be customized so the dashboard can fit different layouts and chart styles.
Style Controls
Users can adjust theme and directional colors for bullish, bearish, and neutral states.
Chart Context Controls
Optional features include candle coloring, active indicator plotting for EMA / SuperTrend, strong-confluence background tinting, mini context tag visibility, tag anchor, tag offset, and tag font size.
Limitations & Transparency
This script is not a prediction model. It summarizes directional context from user-selected higher-timeframe logic.
Higher-timeframe tools can update only when data from those larger intervals updates. Because of that, the dashboard should be understood as a context layer rather than a real-time trigger engine.
Swing Structure mode uses confirmed pivots. That means structure changes may appear later than faster directional methods, because confirmation requires completed pivot information.
Neutral states do not necessarily mean the market is untradeable. They simply indicate that the selected bias engine does not currently show clear directional alignment under the chosen rules.
The confluence count is a summary statistic, not a quality score. A larger number of aligned rows does not automatically mean a better trade. It only means more selected higher-timeframe rows currently point in the same direction.
Rows marked Lower/EQ are excluded from valid higher-timeframe confluence because they are not above the active chart timeframe.
This script is intended to support discretionary analysis and chart organization. It should be combined with the user’s own execution framework, risk model, and market understanding.
Risk Disclosure
This indicator is provided for analysis and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes.
Market conditions can change quickly, and no single indicator or dashboard can remove uncertainty from trading or investing. Users should evaluate higher-timeframe context together with price action, liquidity, volatility, risk management, and their own decision process.
Past behavior, historical alignment, or current confluence does not guarantee future performance.
インジケーター
EagleEye-DashboardIndicator Description & Disclaimer
This indicator has been developed independently for educational and personal learning purposes, based on hands-on trading experience and continuous research into multi-timeframe analysis.
What this indicator does:
This tool consolidates three of the most widely used technical indicators — MACD, RSI, and Stochastic Oscillator — into a single, clean dashboard view. Rather than switching between multiple charts and timeframes manually, traders can now see the status and alignment of all three indicators across multiple timeframes (MTF) at a single glance. This helps in quickly identifying trend confluence, momentum shifts, and potential entry/exit zones without cluttering your chart.
Key features:
Multi-Timeframe (MTF) dashboard view in one unified panel
Real-time status display for MACD, RSI, and Stochastic
Designed for clarity, speed, and ease of interpretation
Suitable for indices, equities, forex, and crypto markets
Disclaimer:
This indicator is strictly developed for learning and informational purposes only. It does not constitute financial advice, investment recommendation, or a solicitation to buy or sell any financial instrument. Past performance of any signal generated by this indicator does not guarantee future results. Trading in financial markets involves substantial risk, and you may lose more than your initial investment. Always conduct your own due diligence, apply proper risk management, and consult a certified financial advisor before making any trading decisions.
The author holds no responsibility for any trading losses incurred through the use of this indicator. Use at your own risk.
Future Roadmap:
This indicator is actively being refined. Upcoming versions will aim to improve signal accuracy, add additional confirmation layers, and expand timeframe flexibility based on user feedback and ongoing research.
Developed with passion for the trading community.
Regards,
Ramesh Vaishya
Independent Trader & Indicator Developer
インジケーター
Source-Aligned Oscillators (for Divergences)A simple tool to visualize oscillators on different price sources — and fix one of the most common divergence mistakes.
Many traders look for divergence by comparing:
price → using highs and lows
oscillators (like RSI) → calculated on close
This creates a hidden inconsistency.
Oscillators such as Relative Strength Index, momentum, or ROC are typically built using close-to-close data.
But when divergence is drawn using wick extremes (highs/lows), you are no longer comparing the same type of information.
This becomes especially problematic on large candles:
the distance between low and close (or high and close) can be significant
price may print a new low via a wick
while the close — and therefore the oscillator — shows little real change
👉 This often produces “fake” or misleading divergence signals.
The idea behind this script
Divergence should ideally be evaluated using aligned data sources:
if your oscillator is based on closes → compare it to close-based structure
if you want to use highs/lows → then the oscillator should reflect those extremes too
This script allows you to do exactly that.
What this tool does
Displays a single oscillator at a time for clarity
Supports multiple oscillators:
RSI
ROC
Momentum
MACD Histogram
CMO
Stochastic RSI
Lets you compute them on different sources:
Close
HL2
HLC3
OHLC4
Candle body split (open/close extremes)
High / Low split
High / Low split mode (key feature)
Instead of forcing one source, this mode shows:
oscillator calculated on lows → useful for bullish structure
oscillator calculated on highs → useful for bearish structure
This helps you clearly see how oscillators behave when aligned with actual price extremes — instead of mixing closes with wicks.
How to use it
Switch between sources and observe how oscillator structure changes
Compare close-based vs wick-based behavior
Identify whether a divergence is:
structurally meaningful
or simply caused by a single candle wick
Final note
This tool does not generate divergence signals automatically.
Its purpose is to help you see divergence correctly, with consistent data.
Because sometimes the issue is not the market — it is how we measure it.
インジケーター
EagleView - MACD+RSI+StochIndicator Description & Disclaimer
This indicator has been developed independently for educational and personal learning purposes, based on hands-on trading experience and continuous research into multi-timeframe analysis.
What this indicator does:
This tool consolidates three of the most widely used technical indicators — MACD, RSI, and Stochastic Oscillator — into a single, clean dashboard view. Rather than switching between multiple charts and timeframes manually, traders can now see the status and alignment of all three indicators across multiple timeframes (MTF) at a single glance. This helps in quickly identifying trend confluence, momentum shifts, and potential entry/exit zones without cluttering your chart.
Key features:
Multi-Timeframe (MTF) dashboard view in one unified panel
Real-time status display for MACD, RSI, and Stochastic
Designed for clarity, speed, and ease of interpretation
Suitable for indices, equities, forex, and crypto markets
Disclaimer:
This indicator is strictly developed for learning and informational purposes only. It does not constitute financial advice, investment recommendation, or a solicitation to buy or sell any financial instrument. Past performance of any signal generated by this indicator does not guarantee future results. Trading in financial markets involves substantial risk, and you may lose more than your initial investment. Always conduct your own due diligence, apply proper risk management, and consult a certified financial advisor before making any trading decisions.
The author holds no responsibility for any trading losses incurred through the use of this indicator. Use at your own risk.
Future Roadmap:
This indicator is actively being refined. Upcoming versions will aim to improve signal accuracy, add additional confirmation layers, and expand timeframe flexibility based on user feedback and ongoing research.
Developed with passion for the trading community.
Regards,
Ramesh Vaishya
Trader & Indicator Developer
インジケーター
Chaos Regime Detection Engine [JOAT]Chaos Regime Detection Engine
Introduction
The Chaos Regime Detection Engine is an advanced open-source market microstructure indicator that classifies market conditions into distinct regimes using multi-dimensional volatility analysis, directional conviction measurement, and institutional flow detection. This indicator transforms raw market data into actionable regime intelligence, helping traders identify when markets are trending, ranging, chaotic, or experiencing volatility shocks.
Unlike single-dimension volatility indicators that only measure price movement magnitude, this engine analyzes market structure through four independent scoring systems that combine into a unified regime classification framework. The indicator is designed for traders who understand that different market regimes require different trading approaches and that regime identification is the foundation of adaptive strategy selection.
Why This Indicator Exists
This indicator addresses a fundamental challenge in trading: markets constantly shift between different behavioral regimes, and strategies that work in one regime often fail in another. The core innovation lies in synthesizing multiple market microstructure measurements into a probabilistic regime classification system:
Directional Flow Regime: Markets exhibiting high price efficiency, low choppiness, and strong ADX conviction - ideal for trend-following strategies
Equilibrium Regime: Markets showing balanced conditions with moderate volatility and weak directional bias - suitable for mean-reversion approaches
Chaotic Turbulence Regime: Markets displaying high choppiness, low efficiency, and conflicting signals - best avoided or traded with tight stops
Volatility Shock Regime: Markets experiencing extreme volatility expansion with high volume - requires defensive positioning or volatility strategies
Each regime classification is derived from normalized scores across multiple dimensions, ensuring that regime identification remains robust across different instruments, timeframes, and market conditions. The system provides not just regime labels but confidence levels and intensity measurements that quantify regime strength.
Core Components Explained
1. ATR and Volatility Percentile Analysis
The indicator calculates Average True Range (ATR) over a customizable period (default 14) and expresses it as a percentage of current price. This normalization allows cross-instrument comparison and removes price-level bias.
ATR percentile ranking over 100 bars provides context for current volatility relative to recent history. High percentile rankings (>70) indicate elevated volatility, while low rankings (<30) suggest compressed volatility. This percentile approach is superior to raw ATR because it adapts to each instrument's unique volatility characteristics.
The volatility percentile feeds into multiple regime scores, particularly the Volatility Shock score, which combines ATR percentile with standard deviation percentile and volume surge detection to identify extreme volatility events.
2. Kaufman Efficiency Ratio
The Efficiency Ratio measures how efficiently price moves from point A to point B by comparing net price change to total path length:
Efficiency = Net Price Change / Sum of Absolute Bar-to-Bar Changes
Values near 1.0 indicate highly efficient, directional movement (trending). Values near 0.0 indicate inefficient, choppy movement (ranging). The indicator uses a customizable lookback period (default 20) to calculate efficiency.
High efficiency feeds into the Directional Flow score, while low efficiency contributes to both Equilibrium and Chaotic Turbulence scores. This dual contribution ensures that the regime classification captures the full spectrum of market behavior.
3. Choppiness Index
The Choppiness Index quantifies market choppiness using logarithmic calculations:
Choppiness = 100 * log10(Sum of ATR / (Highest High - Lowest Low)) / log10(Length)
Values above 61.8 indicate choppy, range-bound markets. Values below 38.2 indicate trending markets. The indicator uses a customizable period (default 14) for this calculation.
The Choppiness Index is inverted when contributing to the Directional Flow score (100 - Choppiness) because low choppiness indicates high directional clarity. High choppiness directly contributes to the Chaotic Turbulence score, identifying markets where price action lacks clear direction.
4. ADX Directional Conviction System
The indicator implements a complete ADX (Average Directional Index) calculation including +DI and -DI components:
+DI measures upward directional movement strength
-DI measures downward directional movement strength
ADX measures the strength of directional movement regardless of direction
ADX values above the trend threshold (default 25) indicate emerging directional conviction. Values above the strong threshold (default 40) indicate dominant directional conviction. The indicator uses customizable lengths for both DI calculation (default 14) and ADX smoothing (default 14).
ADX contributes bonus points to the Directional Flow score when above threshold and to the Equilibrium score when below threshold. The difference between +DI and -DI provides directional bias (long vs short) and conviction strength measurements.
5. Standard Deviation and RVI Analysis
Standard deviation of close prices over 20 bars provides an alternative volatility measurement that captures price dispersion rather than range. The indicator calculates standard deviation as a percentage of price and ranks it using percentile analysis.
The Relative Volatility Index (RVI) applies standard deviation concepts to directional movement:
RVI = 100 * StdDev(Up Moves) / (StdDev(Up Moves) + StdDev(Down Moves))
RVI values above 50 indicate upward volatility dominance, below 50 indicates downward volatility dominance. This provides directional context to volatility measurements that raw standard deviation lacks.
Both metrics contribute to the Volatility Shock score, helping identify when markets are experiencing not just high volatility but directionally biased volatility expansion.
6. Volume Delta Integration
The indicator estimates buying and selling pressure using volume and candle structure:
Buy Volume = Volume when close > open
Sell Volume = Volume when close < open
Volume surge detection compares current volume to 20-period average using a customizable threshold (default 1.5x). Volume surges add bonus points to the Volatility Shock score, confirming that volatility expansion is accompanied by genuine institutional participation rather than thin-market noise.
This volume integration ensures that regime classifications reflect actual market activity rather than just price movement patterns.
7. Regime Scoring and Classification Engine
The indicator calculates four independent regime scores (0-100 scale):
Directional Score = (Efficiency * 100 + (100 - Choppiness) + ADX Bonus) / 2.2
Equilibrium Score = (100 - ATR Percentile + (100 - Efficiency * 100) + ADX Penalty) / 2.2
Turbulence Score = (Choppiness + (100 - Efficiency * 100)) / 2
Shock Score = (ATR Percentile + StdDev Percentile + Volume Surge Bonus) / 2.3
These scores are then normalized to sum to 100%, creating a probability distribution across the four regimes. The dominant regime is determined by the highest normalized score, with confidence level equal to that score's magnitude.
Regime intensity is classified as Nascent (score 35-45), Established (score 45-60), or Dominant (score >60), providing additional context about regime strength and stability.
8. Fractal Divergence Detection
The indicator implements fractal-based divergence detection using a composite volatility index that combines:
30% ATR Percentile
20% Efficiency Ratio
20% Inverted Choppiness
15% StdDev Percentile
15% RVI
This composite index is smoothed with a 5-period EMA and analyzed for fractal tops and bottoms using a 5-bar pattern recognition system. Divergences are detected when price makes new highs/lows but the composite volatility index fails to confirm, suggesting hidden institutional positioning or liquidity asymmetries.
Regular divergences signal potential reversals, while hidden divergences suggest trend continuation after pullbacks. The indicator plots these divergences with color-coded markers and draws connecting lines for visual clarity.
Visual Elements
Composite Volatility Line: Main plot showing the smoothed composite volatility index with dynamic gradient coloring based on regime confidence
Regime Intensity Histogram: Histogram showing regime-specific intensity with transparency based on confidence level
Microstructure Indicators: Subtle circle plots showing ATR percentile, efficiency ratio, and directional clarity for detailed analysis
Conviction Overlay: Stepline plot showing ADX with gradient coloring based on conviction strength
Fractal Divergence Markers: Circle plots at fractal tops/bottoms with color-coded divergence identification
Regime Threshold Lines: Horizontal lines at key regime transition levels (50, 60, 40, 75, 25)
Probability Zone Fill: Subtle background fill showing current regime probability field
Signal Shapes: Triangle shapes on price chart for high-confidence regime transitions and divergences
Comprehensive Dashboard: 12-row intelligence panel showing regime state, certainty, bias, probability scores, conviction, confluence, and all key metrics
The dashboard provides at-a-glance regime assessment with color-coded values, status indicators, and confidence measurements for all regime dimensions simultaneously.
Input Parameters
Signal Architecture:
Regime Shift Signals: Toggle chaos-to-order transition detection (default enabled)
Regime Persistence Signals: Toggle regime stability confirmations (default enabled)
Fractal Divergence Detection: Toggle hidden liquidity flow asymmetries (default enabled)
Minimum Confluence Threshold: Multi-factor validation requirement (1-5, default 3)
Volatility Microstructure:
Volatility Expansion Period: ATR calculation length (5-50, default 14)
Volatility Percentile Window: Percentile ranking lookback (20-500, default 100)
Price Efficiency Horizon: Efficiency ratio calculation period (5-100, default 20)
Chaos Measurement Period: Choppiness index length (5-50, default 14)
Directional Conviction:
Conviction Measurement Length: DI calculation period (5-50, default 14)
Conviction Smoothing Factor: ADX smoothing length (1-50, default 14)
Conviction Emergence Level: ADX trend threshold (15-40, default 25)
Conviction Dominance Level: ADX strong threshold (30-60, default 40)
Institutional Flow:
Enable Flow Asymmetry Detection: Toggle volume delta analysis (default enabled)
Flow Surge Multiplier: Volume threshold for surge detection (1.0-5.0, default 1.5)
Regime Parameters:
Directional Regime Threshold: Score required for directional classification (50-90, default 60)
Chaotic Regime Threshold: Score required for chaos classification (10-50, default 40)
Volatility Shock Threshold: Score required for shock classification (25-50, default 35)
Visualization:
Regime Intelligence Panel: Toggle dashboard display (default enabled)
Microstructure Indicators: Toggle detailed metric plots (default enabled)
Regime Probability Zones: Toggle background probability field (default enabled)
Intelligence Panel Scale: Small/Normal/Large dashboard sizing (default Normal)
Colors:
All colors are fully customizable including directional expansion (neon cyan), volatility shock (neon pink), equilibrium state (gold), and chaotic turbulence (sunset orange).
How to Use This Indicator
Step 1: Identify Current Regime
Check the dashboard "STATE" field to see current regime classification. Note the intensity level (Nascent/Established/Dominant) and certainty percentage. Dominant regimes with high certainty (>80%) are most reliable for strategy selection.
Step 2: Assess Regime Certainty
Monitor the "CERTAINTY" metric. High certainty (>60%) indicates clear regime conditions where strategies aligned with that regime should perform well. Low certainty (<40%) suggests transitional conditions where defensive positioning is appropriate.
Step 3: Check Directional Bias
Review the "BIAS" field showing Long Flow, Short Flow, or Neutral. This indicates whether directional conviction favors long or short positioning within the current regime. The numerical value shows conviction strength.
Step 4: Analyze Regime Probability Scores
Examine the four regime probability scores (Directional, Equilibrium, Turbulence, Shock). These show the relative likelihood of each regime. When one score dominates (>60%), regime classification is clear. When scores are balanced, market is transitional.
Step 5: Monitor Conviction Metrics
Check "CONVICTION" showing ADX value and status (Dominant/Emerging/Absent). Dominant conviction (>40) confirms that directional regimes have strong follow-through potential. Absent conviction (<25) suggests equilibrium or chaotic conditions.
Step 6: Evaluate Confluence Matrix
Review the "CONFLUENCE" score (0-5) showing how many confirmation factors align. Maximum confluence (5/5) indicates all factors agree, providing highest-confidence regime classification. Low confluence (1-2/5) suggests conflicting signals requiring caution.
Step 7: Watch for Regime Transitions
Regime transition signals (triangles on price chart) mark shifts between regimes. These are critical moments for strategy adjustment. Transitions from Chaos to Directional often mark the start of new trends. Transitions to Shock regimes warn of elevated risk.
Step 8: Use Divergence Signals
Fractal divergence markers (labeled "DIV") identify price-volatility asymmetries that often precede regime changes. Bullish divergences in Equilibrium regimes may signal upcoming Directional regimes. Bearish divergences in Directional regimes may warn of regime exhaustion.
Best Practices
Use Directional Flow regimes for trend-following strategies with trailing stops
Use Equilibrium regimes for mean-reversion strategies with defined profit targets
Avoid new positions during Chaotic Turbulence regimes or use very tight stops
Reduce position size or hedge during Volatility Shock regimes
Regime transitions with high confluence (4-5/5) offer highest-probability strategy shift opportunities
Dominant intensity regimes (>60% certainty) are most reliable for strategy execution
Nascent intensity regimes (<45% certainty) require defensive positioning until regime establishes
Monitor conviction metrics - Directional regimes without conviction (ADX <25) often fail
Fractal divergences are most reliable when they occur at regime extremes
Use the probability scores to anticipate regime transitions before they're officially classified
Equilibrium regimes with rising Directional scores suggest impending breakouts
Directional regimes with rising Turbulence scores warn of trend exhaustion
Indicator Limitations
Regime classification is probabilistic, not deterministic - no regime guarantees specific outcomes
The indicator identifies current regime but cannot predict regime duration
Regime transitions can be whipsaw-prone during genuinely transitional market conditions
Volume-based components require accurate volume data - some instruments have unreliable volume
The indicator works best on liquid instruments with consistent trading patterns
Newly listed instruments may lack sufficient history for reliable percentile calculations
Extreme market events (flash crashes, circuit breakers) can temporarily distort regime classification
The indicator shows what regime exists, not why - fundamental catalysts can override regime signals
Confluence scoring requires all factors to be relevant - some factors may be less meaningful on certain instruments
Fractal divergence detection requires clear fractal formation - choppy markets may produce false divergences
Regime intensity classifications are relative to recent history, not absolute across all market conditions
Technical Implementation
Built with Pine Script v6 using:
Complete ADX calculation with +DI/-DI components and customizable smoothing
Kaufman Efficiency Ratio using net change vs path length methodology
Choppiness Index with logarithmic normalization
Multi-component composite volatility index with weighted factor contributions
Percentile ranking calculations for ATR, standard deviation, and composite volatility
Fractal pattern recognition using 5-bar pivot detection
Divergence detection comparing price fractals to volatility fractals
Four-dimensional regime scoring system with normalization to probability distribution
Confluence factor calculation combining conviction, flow, clarity, certainty, and efficiency
Dynamic color gradients based on regime confidence and intensity
Comprehensive dashboard with 12 metrics and color-coded status indicators
Alert system for regime transitions, divergences, and conviction surges
The code is fully open-source with extensive comments explaining each calculation and regime classification logic.
Originality Statement
This indicator is original in its multi-dimensional regime classification approach. While individual components (ATR, Efficiency Ratio, Choppiness, ADX) are established concepts, this indicator is justified because:
It synthesizes four independent regime scoring systems into a unified probabilistic classification framework
The composite volatility index combines five distinct measurements with optimized weighting
Regime intensity classification (Nascent/Established/Dominant) provides confidence context beyond simple regime labels
Confluence scoring validates regime classification through multi-factor confirmation
Fractal divergence detection identifies hidden institutional positioning through volatility-price asymmetries
The normalization of regime scores to probability distribution ensures consistent interpretation across instruments
Integration of volume surge detection confirms that regime classifications reflect genuine market activity
The dashboard synthesizes 12 distinct metrics into a unified regime intelligence panel
Regime transition signals with confluence filtering provide high-confidence strategy adjustment points
The system adapts to each instrument's unique characteristics through percentile-based calculations
Each component contributes unique intelligence: ATR measures volatility magnitude, Efficiency measures directional clarity, Choppiness measures range-bound behavior, ADX measures conviction, volume confirms participation, and divergences reveal hidden positioning. The indicator's value lies in combining these complementary perspectives into a cohesive regime classification system that guides strategy selection.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
Regime classification is probabilistic analysis that identifies current market conditions but does not predict future regime duration or transitions. Regime signals do not guarantee profitable trades. Past regime patterns do not guarantee future regime patterns. Market conditions change, and strategies that worked in historical regimes may not work in future regimes.
The metrics displayed are mathematical calculations based on current market data, not predictions of future price movement. Regime transitions, divergences, and confluence scores do not guarantee profitable trades. Users must conduct their own analysis and risk assessment before making trading decisions.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades
インジケーター
FRS Multi-TF Technical TableTrading shouldn't be a chaos of lines. This indicator was designed under the premise that "less is more." It is built for traders who need to keep their price charts free of visual noise while still requiring critical technical data from multiple timeframes to make fast, informed decisions.
What does this Dashboard offer?
Unlike other panels cluttered with confusing signals, this dashboard provides a real technical snapshot of the levels that actually matter:
- Multi-TF Visibility: Simultaneous tracking of 4 key timeframes (Default: 15', 2h, 3D, and 1W). Note: Intervals are fully customizable to fit your specific strategy.
- Momentum & Trend: RSI status (with dynamic color zones), MACD convergence/divergence, and automatic detection of Simple Divergences.
- Moving Average Structure: Real-time values for MA20, MA50, and MA200, including slope direction (↗/↘) and Golden/Death Cross status.
- Volume Health: Immediate comparison between current volume and its average to detect liquidity spikes or anomalies.
Ideal for "Asset Scanning"
This indicator is the perfect tool for traders who analyze multiple assets in a short amount of time. You don't need to switch charts or timeframes to know if the Weekly RSI is oversold or if the 2h MA200 is acting as resistance; everything is consolidated in one single table.
Key Features:
- 100% Clean Chart: Only the table in your preferred corner—no extra lines on the price action.
- Easy Readability: Intuitive color coding to identify bullish or bearish strength in a split second.
- Integrated Alerts: Set up alerts for divergences or specific RSI levels across any of the monitored timeframes.
インジケーター
