ค้นหาในสคริปต์สำหรับ "WaveTrend"
WaveTrend RBF What it does
WT-RBF extracts a “wave” of momentum by subtracting a fast Gaussian-weighted smoother from a slow one, then robust-normalizes that wave with a median/MAD proxy to produce a z-score (z). A short EMA of z forms the signal line. Optional dynamic thresholds use the MAD of z itself so overbought/oversold levels adapt to volatility regimes.
How it’s built:
Radial (Gaussian) smoothers
Causal, exponentially-decaying weights over the last radius bars using σ (sigma) to control spread.
fast = rbf_smooth(src, fastR, fastSig)
slow = rbf_smooth(src, slowR, slowSig)
wave = fast − slow (band-pass)
Robust normalization
A two-stage EMA approximates the median; MAD is estimated from EMA of absolute deviations and scaled by 1.4826 to be stdev-comparable.
z = (wave − center) / MAD
Thresholds
Dynamic OB/OS: ±2.5 × MAD(z) (or fixed levels when disabled)
Reading the indicator
Bull Cross: z crosses above sig → momentum turning up.
Bear Cross: z crosses below sig → momentum turning down.
Exits / Bias flips: zero-line crosses (below 0 → exit long bias; above 0 → exit short bias).
Overbought/Oversold: z > +thrOB or z < thrOS. With dynamics on, the bands widen/narrow with recent noise; with dynamics off, static guides at ±2 / ±2.5 are shown.
Core Inputs
Source: Price series to analyze.
Fast Radius / Fast Sigma (defaults 6 / 2.5): Shorter radius/smaller σ = snappier, higher-freq.
Slow Radius / Slow Sigma (defaults 14 / 5.0): Larger radius/σ = smoother, lower-freq baseline.
Normalization
Robust Z-Score Window (default 200): Lookback for median/MAD proxy (stability vs responsiveness).
Small ε for MAD: Floor to avoid division by zero.
Signal & Thresholds
Dynamic Thresholds (MAD-based) (on by default): Adaptive OB/OS; toggle off to use fixed guides.
Visuals
Shade OB/OS Regions: Background highlights when z is beyond thresholds.
Show Zero Line: Midline reference.
(“Plot Cross Markers” input is present for future use.)
WaveTrend OscillatorWave trend Oscillator, similar to the other Cypher Oscillators, just that this oscillator is a little bit more refined less noise and a few better options for the money flow, but keeping the basic Structures and features. The only feature this does not have is the divergences
WaveTrend with Bollinger BandsPlots TTM Squeeze momentum histogram (green/red).
Plots RSI (blue) in the same pane.
Shows squeeze dots and RSI overbought/oversold lines.
WaveTrend mtfThis is based on Lazy Bear famous script of Wave trend
So in basic we do MTF on it
One can choose to use the signal of the MTF (circles red or green for buy and sell)
or the regular buy and sell by cross green /red
to the script one can add if it cross the 0 above or bellow (not done here)
the MTF is taken from pinescripter example how to avoid repainting , so it good also for using your indicator to make MTF scripts
alerts included
WaveTrend with Crosses and Alerts - Jab ZootaLazy bear created this script. I added alertconditions to send alerts on crossovers.
wt+ichmokuwaveTrend is very very very nice script.
and i also like ichmoku
yesterday 'nssoholik' gave me some idea that is rsi+ichmoku
and this is wt+ichmoku
easily
red to green = buy
green to red = sell
WaveTrend [DagoDias]@author LazyBear -- Modificado por Dagodias adicionado títulos às variáveis e traduzido para o Português.
Através dos títulos fica melhor para customizar o indicador e criar alertas a partir do indicador.
Para utilização em Criptomoedas acredito ser interessante suavemente levantar as linhas base; tornando a área de sobre venda antecipada.
Este indicador não é recomendado para fortes tendências.
WaveTrend [MastroFran]Great indicator to show short term price movements. 5 day moving average oscillator. When green crosses red and under the 60 mark, buy with caution. when over the 60 mark and red crosses green sell immediately for highest profits.
VuManChu Filtered OverlayVuManChu Filtered Overlay is a price-overlay signal tool inspired by VuManChu Cipher B.
Instead of plotting the full oscillator in a separate pane, this script focuses on generating clean long/short signals directly on the chart, combining WaveTrend, Money Flow–style momentum, and an adjustable overbought/oversold threshold.
Under the hood, the script builds a smoothed “Inertia Wave” using a normalized (close–open)/(high–low) money-flow proxy and a long SMA. This is used together with a classic WaveTrend (wt1 / wt2) calculation. Signals are only triggered when:
WaveTrend lines cross (wt1 vs wt2),
The cross direction matches the expected bias
Bull: cross up from below, WaveTrend below zero
Bear: cross down from above, WaveTrend above zero
The custom money-flow curve (rsiMFI) confirms direction
Bull: rsiMFI > 0
Bear: rsiMFI < 0
The WaveTrend line is beyond a user-defined OS/OB magnitude (Wavetrendtrigger), so only meaningful extremes are considered.
The “VuManChu WaveTrend OS/OB threshold (+/-)” input lets you control how aggressive the signals are:
Lower values (e.g. 5–10) → more frequent, more sensitive signals
Higher values (e.g. 40–60) → fewer signa
ls, focused on strong exhaustion moves
Bullish and bearish opportunities are plotted as green and red dots on the candles, and corresponding alerts are fired:
🟢 Optimized VuManChu LONG signal detected on timeframe: X
🔴 Optimized VuManChu SHORT signal detected on timeframe: X
This script is meant as a filter / confirmation layer, not a standalone system. For best results, combine it with your own trend, volume, or higher-timeframe context. This is not financial advice and should be used for educational and experimental purposes only.
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Updated 3 hours ago
Institutional Analyst Board
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Jul 19
📊 Institutional Analyst Board – Smart Money Confluence Scanner for XAUUSD, Forex, Crypto
🔍 Overview
The Institutional Analyst Board is a complete multi-timeframe smart money toolkit designed for traders who demand clarity, confluence, and precision. It brings together institutional-grade metrics—Order Blocks (OB), Fair Value Gaps (FVG), Liquidity Sweeps, MACD/RSI bias, VWAP positioning, and Break of Structure (BoS)—into a single powerful visual dashboard.
This indicator is especially optimized for Gold (XAUUSD) but is also compatible with Crypto and Forex assets.
🧠 Key Features
✅ Multi-Timeframe Dashboard (5M / 15M / 1H)
✅ Order Block Detection with dynamic zones that extend until broken
✅ Fair Value Gap Detection with clear zone shading and border distinction
✅ MACD + RSI Confluence for momentum and bias alignment
✅ VWAP Positioning to identify premium/discount zones
✅ Liquidity Sweeps (internal/external range breaks)
✅ Killzone Highlighting (Asia / London / New York)
✅ Break of Structure (BoS) with advanced confluence filters
✅ Gold Bias Flags across timeframes (BUY / SELL / NEUTRAL)
✅ Dynamic Price Watermark with real-time data
✅ Fully customizable colors, transparencies, and text labels
🧠 How It Works
The Board uses institutional logic to analyze the chart in real time:
Metric Purpose
OB Zones Highlight potential smart money footprints where price is likely to react.
FVG Zones Identify imbalance areas between buyers and sellers—ideal for mean reversion entries.
MACD/RSI Confirm momentum direction and relative strength confluence.
VWAP Determine whether price is trading at a premium or discount.
Liquidity Sweeps Detect manipulative moves before major reversals.
BoS Mark potential trend reversals, filtered by institutional confluence.
Each signal is computed across 3 timeframes and visualized in a clean board that updates live. You’ll also see labels, alerts, and session overlays for maximum clarity.
📌 Ideal Use Case
This tool is perfect for:
Funded Challenge Traders (FTMO, MyForexFunds, etc.)
Gold scalpers and intraday traders
Crypto price action traders using BTC, ETH, SOL, etc.
Smart Money Concept (SMC) and ICT followers
⚙️ Customization Options
Toggle each module (OB, FVG, VWAP, MACD/RSI, etc.)
Set transparency and color for each zone type
Adjust Killzone timing (Asia, London, NY)
Control board position (Top/Bottom) and metric visibility
📈 Compatible Assets
✅ XAUUSD (optimized)
✅ Forex majors/minors
✅ Crypto pairs (BTC, ETH, SOL, etc.)
✅ Indices (GER40, NASDAQ, SPX with minor adaptation)
🛠️ Requirements
Use on TradingView v5
Set chart time to UTC+0 or UTC+3 for optimal Killzone accuracy
For crypto, redefine Killzone hours if needed (24/7 market)
🧠 Pro Tip
Pair this indicator with volume profile tools, CVD/Delta Flow, or Footprint overlays to build high-confidence trade setups with clear institutional confluence.
Momentum ArrowsThis simple indicators paints the Momentum based on Stochastic, RSI or WaveTrend onto the Price Chart by showing Green or Red arrows.
In the settings it can be selected which indicator is used, Stochastic is selected by default.
Length of the arrows is determined by the strength of the momentum:
Stochastic: Difference between D and K
RSI: Difference from RSI-50
WaveTrend: Difference between the Waves
(Thanks to @LazyBear for the WaveTrend inspiration)
PS:
If anyone has an idea how to conditionally change the color of the arrows, then please let me know - that would be the icing on the cake. Then it would be possible to indicate Overbought/Oversold levels with different colors.
Unfortunately it currently seems not to be possible to dynamically change the arrow colour.
CryptoVN_WaveTrendMod version from Indicator: WaveTrend Oscillator by @LazyBear
About this mod version:
- WaveTrend: both Fast and Slow
- Histogram: change color when the signal Above or Below the Zero Line.
- Show Dots at Cross the signal
- ...
A few notes about the signal:
*Below the Oversold band (Buy zone):fema crosses UP the fsma ==> good BUY signal.
*Above the Overbought band (Sell zone):fema crosses DOWN the fsma ==> good SELL signal.
* ...
WhaleCrew VisionVision is an advanced momentum oscillator that visualizes momentum strength with overbought and oversold readings.
Features
Momentum Waves
Divergence Detection (regular and hidden divergences)
Detection for momentum shifts (detects higher lows/lower highs on the oscillator)
Detection for momentum stagnation
Moneyflow
Most important: Our Custom Strategy Builder
Custom Strategy Builder
The custom strategy builder is a framework that allows you to easily create custom strategies.
1. Configure long/short conditions
Pre-defined conditions for custom timeframes, under which you're looking to potentially enter a trade.
2. Configure trigger
Select a trigger (e.g. "Wave Cross" or "Wave Lower High") to generate labels/alerts for potential entries, whenever long/short conditions are met.
3. Configure Take Profit Conditions
Potential Take Profits are triggered by momentum stagnation.
4. Backtest your strategy
By using our open-source backtester script (published on our profile).
5. Trade responsibly
Manually review each signal/alert before taking any actions.
Note: The "Strategy Backtest" input section can also help you develop your strategy.
Usage
You can use this indicator to follow the trend, detect momentum shifts or memorize patterns.
Take a systematic approach by using our strategy builder.
Access to this indicator can be obtained through our website.
TopTenAlgo 10. SQZMOM_LSvwMA with Bar ColorEN: This Algorithm is a derivative of John Carter's "TTM Squeeze" volatility indicator. Many strategists have taken the indicator on Tradingview with simple moving averages and have looked at the biggest mistake only by dealing with squeeze and exit processes to squeeze. But I used the algorithm to determine where the markets would actually explode. For example, instead of using SMAs , I tested them on the Linear Regression Curve using Volume Weighted Moving Averages and Hull MAs. This gave me the opportunity to develop a more responsive algorithm and identify where the actual explosion would occur. The Gray Circles in the midline show that the market is entering a new jam (in the Bollinger Bands and Keltner Channel). This means low volatility , the market prepares itself for an explosive move (up or down). White Circles mean that it is about to get out of the jam. The Blue Circles, which no one can calculate, now inform that the exit is no longer jammed and that the explosion has taken place.
Mr. Carter recommends that you wait until the first gray after a gray cross and take a position in the momentum direction (for example, if the momentum value is above zero, relax). Exit position when the momentum changes (increase or decrease, this is indicated by a color change). In this algorithm, I tried to achieve good entry points using an additional indicator such as ADX and WaveTrend. To draw the histogram, I used a different method based on Linear Regression . Mr.Carter uses a simple momentum indicator .
In summary, this algorithm is a strict algorithm in which additional 4-5 indicators are blended. Conveniences for Everyone ...
This algorithm is prepared with @Top10Algo ...
TR: Bu Algoritma John Carter'ın "TTM Squeeze" volatilite göstergesinin bir türevidir. Bir çok stratejist Tradingview' de gösterge' yi basit hareketli ortalamalarla ele almış ve en büyük hatayı sadece sıkışma ve sıkışmadan çıkış süreçlerini ele alarak bakmışlardır. Fakat ben algoritmayı piyasaların asıl patlama yapacağı yeri tespit etmek için kullandım. Örneğin SMA' ları kullanmak yerine Hacim Ağırlıklı Hareketli Ortalamaları ve Hull MA' ları kullanarak onları Linerar Regresyon Eğrisinde stress testine tabi tuttum. Buda bana daha duyarlı bir algoritma geliştirmem ve asıl patlamanın olacağı yerleri tespit etmem için fırsat verdi. Orta hattaki Gri Daireler, piyasanın yeni bir sıkışmaya girdiğini gösteriyor ( Bollinger Bantları ve Keltner Kanalı'nda). Bu, düşük volatilite anlamına gelir, piyasa kendisini patlayıcı bir harekete hazırlar (yukarı veya aşağı). Beyaz Daireler ise sıkışmadan çıkmak üzere olduğu anlamına gelir. Hiç kimsenin hesap edemediği Mavi Daireler ise artık sıkışmadan çıkıldığını ve patlamanın gerçekleştiğini haber verir.
Mr.Carter, gri bir çarpı işaretinden sonra ilk griye kadar beklemenizi ve momentum yönünde bir pozisyon almanızı önerir (örneğin, momentum değeri sıfırın üstünde ise, rahat olun). Momentum değiştiğinde pozisyondan çıkın (artırma veya azaltma, bunu o bir renk değişikliği ile belirtilir). Bu algoritmada ben, ADX ve WaveTrend gibi ek bir gösterge kullanarak iyi giriş noktalarıelde etmeye çalıştım. Histogramı çizmek için ise Linear Regresyon tabanlı farklı bir yöntem kullandım. Mr.Carter basit bir momentum göstergesi kullanır.
Özetle bu algoritma ek 4-5 göstergenin harmanlandığı sıkı bir algoritmadır. Herkese Kolaylıklar dilerim...
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Kodlamadaki katkılarından ve yol göstericiliğinden dolayı teşekkürü bir borç bilirim.
TopTenAlgo 10. SQZMOM_LSvwMA with Bar Color (Not Based Volume)EN: This Algorithm is a derivative of John Carter's "TTM Squeeze" volatility indicator. Many strategists have taken the indicator on Tradingview with simple moving averages and have looked at the biggest mistake only by dealing with squeeze and exit processes to squeeze. But I used the algorithm to determine where the markets would actually explode. For example, instead of using SMAs , I tested them on the Linear Regression Curve using Volume Weighted Moving Averages and Hull MAs. This gave me the opportunity to develop a more responsive algorithm and identify where the actual explosion would occur. The Gray Circles in the midline show that the market is entering a new jam (in the Bollinger Bands and Keltner Channel). This means low volatility , the market prepares itself for an explosive move (up or down). White Circles mean that it is about to get out of the jam. The Blue Circles, which no one can calculate, now inform that the exit is no longer jammed and that the explosion has taken place.
Mr. Carter recommends that you wait until the first gray after a gray cross and take a position in the momentum direction (for example, if the momentum value is above zero, relax). Exit position when the momentum changes (increase or decrease, this is indicated by a color change). In this algorithm, I tried to achieve good entry points using an additional indicator such as ADX and WaveTrend. To draw the histogram, I used a different method based on Linear Regression . Mr.Carter uses a simple momentum indicator .
In summary, this algorithm is a strict algorithm in which additional 4-5 indicators are blended. Conveniences for Everyone ... (For Symbols that cannot be read on the Volume Indicator)
This algorithm is prepared with @Top10Algo ...
TR: Bu Algoritma John Carter'ın "TTM Squeeze" volatilite göstergesinin bir türevidir. Bir çok stratejist Tradingview' de gösterge' yi basit hareketli ortalamalarla ele almış ve en büyük hatayı sadece sıkışma ve sıkışmadan çıkış süreçlerini ele alarak bakmışlardır. Fakat ben algoritmayı piyasaların asıl patlama yapacağı yeri tespit etmek için kullandım. Örneğin SMA' ları kullanmak yerine Hacim Ağırlıklı Hareketli Ortalamaları ve Hull MA' ları kullanarak onları Linerar Regresyon Eğrisinde stress testine tabi tuttum. Buda bana daha duyarlı bir algoritma geliştirmem ve asıl patlamanın olacağı yerleri tespit etmem için fırsat verdi. Orta hattaki Gri Daireler, piyasanın yeni bir sıkışmaya girdiğini gösteriyor ( Bollinger Bantları ve Keltner Kanalı'nda). Bu, düşük volatilite anlamına gelir, piyasa kendisini patlayıcı bir harekete hazırlar (yukarı veya aşağı). Beyaz Daireler ise sıkışmadan çıkmak üzere olduğu anlamına gelir. Hiç kimsenin hesap edemediği Mavi Daireler ise artık sıkışmadan çıkıldığını ve patlamanın gerçekleştiğini haber verir.
Mr.Carter, gri bir çarpı işaretinden sonra ilk griye kadar beklemenizi ve momentum yönünde bir pozisyon almanızı önerir (örneğin, momentum değeri sıfırın üstünde ise, rahat olun). Momentum değiştiğinde pozisyondan çıkın (artırma veya azaltma, bunu o bir renk değişikliği ile belirtilir). Bu algoritmada ben, ADX ve WaveTrend gibi ek bir gösterge kullanarak iyi giriş noktalarıelde etmeye çalıştım. Histogramı çizmek için ise Linear Regresyon tabanlı farklı bir yöntem kullandım. Mr.Carter basit bir momentum göstergesi kullanır.
Özetle bu algoritma ek 4-5 göstergenin harmanlandığı sıkı bir algoritmadır. Herkese Kolaylıklar dilerim... (Hacim Göstergesi okunamayan Semboller için)
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
High-Low- Signal (Expo)High-Low-Signal (Expo)
DESCRIPTION
This simple but powerful High-Low indicator plots price extremes. Either it’s an exhausting sign or a continuation sign of the trend. The color of the cloud determines the trend, and the height of the peaks determines the strength in the price moves. You can easily compare current peaks with historical ones to understand the current dynamics and what might happen next.
This indicator is a must if you want to understand price dynamics in the market. The indicator is perfect to combine with other indicators to confirm the signal.
For example:
Combine it with trend lines/Channels/Bollinger Band, you name it! If the indicator peaks in conjunction with that the price reaches a trend line/Channels/Bollinger Band. It's a great sign!
HOW TO USE
1. Look for a signal
2. Identify the color and height of the peak. Compare it to historical ones to get an understanding of the current market dynamics.
3. Combine the indicator with e.g. trend lines/Channels/Bollinger Band
4. Consider Enter the market.
INDICATOR IN ACTION
BTCUSD
BTCUSD
BTCUSD
Wall Street
EURJPY
EURUSD
GOLD
I hope you find this indicator useful , and please comment or contact me if you like the script or have any questions/suggestions for future improvements. Thanks!
I will continue to work on this indicator, so please share your experience and feedback with me so that I can continuously improve it. Thanks to everyone that have contacted me regarding my scripts. Your feedback is valuable for future developments!
ACCESS THE INDICATOR
• Contact me on TradingView or use the links below
-----------------
Disclaimer
Copyright by Zeiierman.
The information contained in my scripts/indicators/ideas does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My scripts/indicators/ideas are only for educational purposes!
Stochastic RSI - WT Confluence Signal Detectors (TraderDemircan)Description
What This Indicator Does:
This indicator combines two powerful momentum oscillators—WaveTrend and Stochastic RSI—to identify high-probability trading signals through confluence. Instead of relying on a single indicator that may generate false signals, this tool only triggers buy/sell alerts when both oscillators simultaneously confirm extreme market conditions and trend reversals. This confluence approach significantly reduces noise and helps traders focus on the most reliable setups.
Key Features:
Dual-Oscillator Confluence: Generates signals only when both WaveTrend crossovers and Stochastic RSI extreme levels align
Normalized Scale Display: Both oscillators are plotted on a unified -100 to +100 scale for easy visual comparison
Visual Signal Confirmation: Clear intersection points marked with colored circles, plus optional candle coloring at crossover moments
Customizable Thresholds: Adjust overbought/oversold levels for both oscillators to match your trading style and asset volatility
Clean Visual Presentation: Optional area fill showing WaveTrend momentum difference, making divergences easier to spot
How It Works:
The indicator operates on a confluence principle where multiple conditions must align:
For BUY Signals (Green):
WaveTrend 1 crosses above WaveTrend 2 (bullish crossover)
WaveTrend is in oversold territory (below -53 or -60)
Stochastic RSI K-line is below 20 (oversold)
For SELL Signals (Red):
WaveTrend 1 crosses below WaveTrend 2 (bearish crossover)
WaveTrend is in overbought territory (above 53 or 60)
Stochastic RSI K-line is above 80 (overbought)
WaveTrend Component:
Uses the hlc3 price (average of high, low, close) to calculate a channel index that identifies market momentum waves. The two WaveTrend lines (WT1 and WT2) act similarly to MACD, where crossovers indicate momentum shifts. The oscillator ranges from approximately -100 to +100, with extreme values suggesting potential reversals.
Stochastic RSI Component:
Applies stochastic calculations to RSI values rather than raw price, creating a more sensitive momentum indicator. Values above 80 indicate overbought conditions (potential selling opportunity), while values below 20 indicate oversold conditions (potential buying opportunity). The indicator includes both K-line (faster) and D-line (slower, smoothed) for additional confirmation.
Normalization Technology:
To enable direct visual comparison, the Stochastic RSI (normally 0-100 scale) is normalized to match WaveTrend's -100 to +100 scale. This allows traders to see both oscillators' movements in relation to the same reference levels, making divergences and convergences more apparent.
How to Use:
For Trend Traders:
Wait for confluence signals in the direction of the larger trend
Use buy signals in uptrends as entry points during pullbacks
Use sell signals in downtrends as entry points during bounces
For Reversal Traders:
Focus on confluence signals at major support/resistance levels
Look for divergences between price and oscillators before confluence signals
Consider stronger signals when both oscillators reach extreme levels (WT beyond ±60, Stoch beyond 20/80)
For Scalpers:
Lower the WaveTrend Channel Length (default 10) to 5-7 for more frequent signals
Tighten overbought/oversold thresholds slightly (e.g., WT: ±50, Stoch: 30/70)
Use on lower timeframes (5m, 15m) with strict stop losses
Settings Guide:
WaveTrend Parameters:
Channel Length (10): Controls sensitivity. Lower = more signals but more noise. Higher = fewer but more reliable signals
Average Length (21): Smoothing period for WT2. Higher values reduce whipsaws
Overbought Levels (60/53): Two-tier system. Breaching 60 indicates strong overbought, 53 is moderate
Oversold Levels (-60/-53): Mirror of overbought levels for downside extremes
Stochastic RSI Parameters:
K-Smooth (3): Smoothing for the K-line. Higher = smoother but delayed
D-Smooth (3): Additional smoothing for the D-line signal
RSI Period (14): Standard RSI calculation period
Stoch Period (14): Stochastic calculation lookback
Oversold (20) / Overbought (80): Classic thresholds for extreme conditions
Visual Options:
Show WT Difference Area: Displays the momentum difference between WT1 and WT2 as a blue shaded area
Show WT Intersection Points: Marks crossover points with colored circles (red for bearish, green for bullish)
Color Candles at Intersection: Changes candle colors at crossover moments (blue for bearish, yellow for bullish)
Show Stoch Over Signals: Displays when Stochastic RSI breaches extreme levels
What Makes This Original:
While WaveTrend and Stochastic RSI are established indicators, this script's originality lies in:
Confluence Logic: The specific combination requiring simultaneous confirmation from both oscillators in extreme zones, not just simple crossovers
Normalization Approach: Displaying both oscillators on the same -100 to +100 scale for direct visual comparison, which is not standard
Multi-Tier Overbought/Oversold: Using two levels (60/53) instead of one, allowing for nuanced signal strength assessment
Integrated Visual System: Combining area fills, intersection markers, and candle coloring in a coordinated display that shows momentum flow at a glance
Important Considerations:
This is a momentum-based oscillator system, which performs best in ranging or trending markets with clear swings
In strong trending markets, the oscillator may remain in extreme zones for extended periods (remain overbought during strong uptrends, oversold during strong downtrends)
Confluence signals are intentionally rare to maintain quality—expect fewer signals than with single-indicator systems
Always combine with price action analysis, support/resistance levels, and proper risk management
Not recommended for extremely low volatility or thin markets where oscillators may produce erratic readings
Best Timeframes:
Intraday: 15m, 1H (with tighter parameters)
Swing Trading: 4H, Daily (with default parameters)
Position Trading: Daily, Weekly (with extended Channel Length 15-20)
Typical Use Cases:
Identifying exhaustion points in trending markets
Timing entries during pullbacks in established trends
Spotting potential reversal zones at key price levels
Filtering out weak momentum signals during consolidation
[GYTS-Pro] Flux Composer🧬 Flux Composer (Professional Edition)
🌸 Confluence indicator in GoemonYae Trading System (GYTS) 🌸
The Flux Composer is a powerful tool in the GYTS suite that is designed to aggregate signals from multiple Signal Providers, apply advanced decaying functions, and offer customisable and advanced confluence mechanisms. This allows making informed decisions by considering the strength and agreement ("when all stars align") of various input signals.
🌸 --------- TABLE OF CONTENTS --------- 🌸
1️⃣ Main Highlights
2️⃣ Flux Composer’s Features
Multi Signal Provider support
Advanced decaying functions
Customisable Flux confluence mechanisms
Actionable trading experience
Filtering options
User-friendly experience
Upgrades compared to Community Edition
3️⃣ User Guide
Selecting Signal Providers
Connecting Signal Providers to the Flux Composer
Understanding the Flux
Tuning the decaying functions
Choosing Flux confluence mechanism
Choosing sensitivity
Utilising the filtering options
Interpreting the Flux for trading signals
4️⃣ Limitations
🌸 ------ 1️⃣ --- MAIN HIGHLIGHTS --- 1️⃣ ------ 🌸
- Signal aggregation : Combines signals from multiple different 📡 Signal Providers, each of which can be tuned and adjusted independently.
- Decaying function : Utilises advanced decaying functions to model the diminishing effect of signals over time, ensuring that recent signals have more weight. In addition to the decaying effect, the "quality" of the original signals (e.g. a "strong" GDM from WaveTrend 4D ) are accounted for as well.
- Flux confluence mechanism : The aggregation of all decaying functions form the "Flux", which is the core signal measurement of the Flux Composer. Multiple mechanisms are available for creating the Flux and effectively using it for actionable trading signals.
- Visualisation : Provides detailed visualisation options to help users understand and tune the contributions of individual Signal Providers and their decaying functions.
- Backtesting : The 🧬 Flux Composer is a core component of the TradingView suite of the 🌸 GoemonYae Trading System (GYTS) 🌸. It connects multiple 📡 Signal Providers, such as the WaveTrend 4D, and processes their signals to produce a unified "Flux". This Flux can then be used by the GYTS "🎼 Order Orchestrator" for backtesting and trade automation.
🌸 ------ 2️⃣ --- FLUX COMPOSER'S FEATURES --- 2️⃣ ------ 🌸
Let's delve into more details...
💮 1. Multi Signal Provider support
Using the name of the GYTS "🎼 Order Orchestrator" as an analogy: Imagine a symphony where each instrument plays its own unique part, contributing to the overall harmony. The Flux Composer operates similarly, integrating multiple Signal Providers to create a comprehensive and robust trading signal -- the "Flux". Currently, it supports up to four streams from the WaveTrend 4D's ’s Gradient Divergence Measure (GDM) and another four streams from the Quantile Median Cross (QMC). These can be either four "Professional Edition" Signal Providers or eight "Community Editions".
Note that the GDM includes 2 different continuous signals and the QMC 3 different continuous signals (from different frequencies). This means that the Community Edition can handle 2*2 + 2*3 = 10 different continuous signals and the Professional Edition as much as 20.
As GYTS evolves, more Signal Providers will be added; at the moment of releasing the Flux Composer, only WaveTrend 4D is publicly available.
💮 2. Advanced decaying functions
A trading signal can be relevant today, less relevant tomorrow, and irrelevant in a week's time. In other words, its relevance diminishes, or decays , over time. The Flux Composer utilises decaying functions that ensure that recent signals carry more weight, while older signals fade away. This is crucial for accurate signal processing. The intensity and decay settings allow for precise control, allowing emphasising certain signals based on their strength and relevance over time. On top of that, unlike binary signals ("buy now"), the Flux Composer utilises the actual values from the Signal Providers, differentiating between the exact quality of signals, and thus offering a detailed representation of the trading landscape. We will illustrate this in a further section.
💮 3. Customisable Flux confluence mechanisms
Another core component of the Flux Composer is the ability of intelligently combining the decaying functions. It offers four sophisticated confluence mechanisms: Amplitude Compression, Accentuated Amplitude Compression, Trigonometric, and GYTSynthesis. Each mechanism has its unique way of processing the Flux, tailored to different trading needs. For instance, the Amplitude Compression method scales the Flux based on recent values, much like the Stochastic Oscillator, while the Trigonometric method uses smooth functions to reduce outliers’ impact. The GYTSynthesis is a proprietary method, striking a balance between signal strength and discriminative power.
We'll discuss this in more detail in the User Guide section.
💮 4. Actionable trading experience
While the mathematical abilities might seem overwhelming, the goal of the Flux Composer is to transform complex signal data into actionable trading signals. When the Flux reaches certain thresholds, it generates clear bullish or bearish signals, making it easy for traders to interpret. The inclusion of upper and lower thresholds (UT and LT) helps in identifying strong signals visually and should be a familiar behaviour similar to how many other indicators operate. Furthermore, the Flux Composer can plot trading signals directly on the oscillator, showing triangle shapes for buy or sell signals. This visual aid is complemented by the possibility to setup TradingView alerts.
💮 5. Filtering options
The Professional Edition also offers filtering options to possibly further improve the quality of Flux signals. Signal streams can be divided into “Signal Flux” and “Filter Flux.” The Filter Flux acts as a gatekeeper, ensuring that only signals meeting the Filter's criteria (which consist of similar UT/LT thresholds) are considered for trading. This dual-layer approach enhances the reliability of trading signals, reducing the chances of false positives.
💮 6. User-friendly experience
GYTS is all about sophisticated, robust methods but also "elegance". One of the interpretations of the latter, is that the users' experience is very important. Despite the Flux Composer's mathematical underpinnings, it offers intuitive settings that with omprehensive tooltips to help with a smooth setup process. For those looking to fine-tune their signals, the Flux Composer allows the visualisation of individual decaying functions. This feature helps users understand the impact of each setting and make informed adjustments. Additionally, the background of the chart can be coloured to indicate the trading direction suggested by the Filter Flux, providing an at-a-glance overview of market conditions.
💮 7. Upgrades compared to Community Edition
Number of signal streams -- At the moment of writing, the Professional Edition works with 4x GDM and 4x QMC signal streams from WaveTrend 4D Signal Provider , while Community Edition (CE) Flux Composer (FC) only works with 2x GDM and 2x QMC signal streams.
Flux confluence mechanism -- CE includes the Amplitude Compression and Trigonometric confluence mechanisms, while the Pro Edition also includes the Accentuated Amplitude Compression and the GYTSynthesis mechanisms.
Signal streams as filters -- The Pro Edition can use Signal Providers as filters.
🌸 ------ 3️⃣ --- USER GUIDE --- 3️⃣ ------ 🌸
💮 1. Selecting Signal Providers
The Flux Composer’s foundation lies in its Signal Providers. When starting with the Flux Composer, using a single Signal Provider can already provide significant value due to the nature of decaying functions. For instance, the WaveTrend 4D signal provider includes up to 5 signal types (GDM and QMC in different frequencies) in a single direction (long/short). Moreover, the various confluence mechanisms that enhance the resulting Flux result in improved discrimination between weak and strong signals. This approach is akin to ensemble learning in machine learning, where multiple models are combined to improve predictive performance.
While using a single Signal Provider is beneficial, the true power of the Flux Composer is realised with multiple Signal Providers. Here are two general approaches to selecting Signal Providers:
Diverse Behaviours
Use Signal Providers with different behaviours, such as WaveTrend 4D on various assets/timeframes or entirely different Signal Providers. This approach leverages diversification to achieve robustness, rooted in the principle that varied sources enhance the overall signal quality. To explain this with an analogy, this strategy aligns with the theory of diversification in portfolio management, where combining uncorrelated assets reduces overall risk. Similarly, combining uncorrelated signals can mitigate the risk of signal failure. A practical example can be integrating a mean-reversion signal with a trend-following signal -- these can balance each other out, providing more stable outputs over different market conditions.
Enhancing a Single Provider
If you consider a particular Signal Provider highly effective, you could improve its robustness by using multiple instances with slight variations. These variations could include different sources (e.g., close, HL2, HLC3), data providers (same asset across different brokers/exchanges), or parameter adjustments. This method mirrors Monte Carlo simulations, often used in risk management and derivative pricing, which involve running many simulations with varied inputs to estimate the probability of different outcomes. By applying similar principles, the strategy becomes less susceptible to overfitting, ensuring the signals are not overly dependent on specific data conditions.
💮 2. Connecting Signal Providers to the Flux Composer
Moving on to practicalities: how do you connect Signal Providers with the Flux Composer? You may have noticed that when you open the drawdown of a data source in a TradingView indicator (with "open", "high", "low", etc.), you also see names from other indicators on your chart. We call these "streams", and the Signal Providers are designed such that they output this stream in a way that the Flux Composer can interpret it. Thus, to connect a Signal Provider with the Flux Composer, you should first have that Signal Provider on your chart. Obviously you should set it up an a way that it seems to provide good signals. After that, in the Data Stream dropdown in the Flux Composer, you can select the stream that is outputted by your Signal Provider. This will always be with a prefix of "🔗 STREAM" (after the Signal Provider's indicator name). See the chart below.
There is one important nuance: when you have multiple (similar) Signal Providers on your chart, it may be hard to select the correct data stream in the Flux Composer as the names of the streams keep repeating when you use identical indicators. So be sure to be attentive as you might end up using the same signals multiple times.
Also, the Signal Providers have an "Indicator name" parameter (and another parameter to repeat this name) that is handy to use when you have multiple Signal Providers on your screen. It is handy to give names that describe the unique settings of that Signal Provider so you can better differentiate what you are looking at on your screen.
💮 3. Understanding the Flux
Let's understand how the Signal Provider's signals are processed. In the chart below, you see we have one Signal Provider (WaveTrend 4D) connected to the Flux Composer and that it gives a bearish QMC signal. The Flux Composer converts this into a decaying function. You can show these functions per Signal Provider when the option "Show decaying function of Signal Provider" is enabled (as it is in the chart).
In our opinion, of crucial importance is the ability to process the quality of signals, rather than just any signal. In mathematical terms, we are interested in continuous signals as these provide a spectrum of values. These signals can reflect varying degrees of market sentiment or trend strength, offering richer information than binary signals, which offer only two states (e.g., buy/sell). Especially in the context of the Flux Composer, where you aggregate multiple signals, it makes a big difference whether you combine 10 weak signals or 10 strong signals. To illustrate this principle, look at the chart below where there are 4 signals of different strengths. As you can see, each of the signals affects the Flux with different intensities.
💮 4. Tuning the decaying functions
As previously mentioned, the decaying functions are a way to give more importance to recent signals while allowing older ones to fade away gradually. This mimics the natural way we assess information, giving more weight to recent events. The decaying functions in the Flux Composer are highly customisable while remaining easy to use. You can adjust the initial intensity , which sets the starting strength of a signal, and the decay rate, which determines how quickly this signal diminishes over time. Let's look at specific examples.
If we add 3 Flux Composers on the chart, connect the same Signal Provider, keep all settings the same with one exception, we get the chart below. Here we have changed the "intensity" parameter of the specific signal. As you can see, the decaying functions are different. The intensity determines the initial strength of the decayed function. Adjusting the intensity allows you to emphasise certain signal types based on their perceived reliability or importance.
Let's now keep the intensity the same ("normal"), but change the "decay" parameter. As you can see in the image below, the decay controls how quickly the signal’s strength diminishes over time. By adjusting the decay, you can model the longevity of the signal’s impact. A faster decay means the signal loses its influence quickly, while a slower decay means it remains relevant for a longer period.
So how do multiple signals interact? You can see this as a simple "stacking of decaying functions" (although there is more to it, see next section). In the chart below we different strenghts of signals and different decay rates to illustrate how the Flux is constructed.
Hopefully this helps with developing some intuition how signals are converted to decaying functions, how you can control them, and how the Flux is constructed. When tuning these parameters, use the visualisation options to see how individual decaying functions contribute to the overall Flux. This helps in understanding and refining the parameters to achieve the desired trading signal behaviour.
💮 5. Choosing Flux confluence mechanism
While we mentioned that the Flux is a "stacking of individual decaying functions", in the back-end, that is not exactly that simple. Like previously mentioned, for GYTS, "elegance" is very important. One of the interpretations is "user friendliness" and the Flux confluence mechanism is one of the essential developments for this characteristic. The Flux confluence mechanism is critical in synthesising the aggregated signals into the Flux. The choice of mechanism affects how the signals are combined and the resulting trading signals. The Professional Edition offers four distinct mechanisms, each with its strengths.
The Amplitude Compression mechanism is intuitive, scaling the Flux based on recent values, intuitively not unlike the method of the well-known Stochastic Oscillator. The Accentuated Amplitude Compression method takes this a step further, giving more weight to strong Flux values. The Trigonometric mechanism smooths the Flux and reduces the impact of outliers, providing a balanced approach. Finally, the GYTSynthesis mechanism, a proprietary approach, balances signal strength and discriminative power, making it easier to tune and generalise.
It's difficult to convey the workings of the Flux confluence mechanism in a chart, but let's take the opportunity to show how the Flux would look like when connecting both one WaveTrend 4D Signal Provider signals to four Flux Composers with default settings, except the Flux confluence mechanism:
You may notice subtle differences between the four methods. They react differently to different values and their overall shape is slightly be different. The Amplitude Compression is more "pointy" and GYTSynthesis doesn't react to low values. There are many nuances, especially in combination with tuning the sensitivity and upper/lower threshold (UT/LT) parameters.
💮 6. Choosing sensitivity
Speaking of the sensitivity , this parameters fine-tunes how responsive the Flux is to the input signals. Higher sensitivity results in more pronounced responses, leading to more frequent trading signals. Lower sensitivity makes the Flux less responsive, resulting in fewer but potentially more reliable signals.
You might think that changing the upper/lower threshold (UT/LT) parameters would be equivalent, but that's not the case. The sensitivity In case of the Amplitude Compression mechanisms, changing the sensitivity would change the relative Flux shape over time, and with the Trigonometric and GYTSynthesis mechanisms, the Flux shape itself (independent of time) would change. In other words, these are all good parameters for tuning.
💮 7. Utilising the filtering options
When choosing the signal stream of a Signal Provider, you can also change the default "Signal" category of that Signal Provider to a "Filter". In the example below, two Signal Providers are connected; the second is set as a filter. You can see that a second row of a Flux is shown in the Flux Composer (this visualisation can be disabled), corresponding with the signals of the second Signal Provider.
Logically, only when the Filter Flux gives a signal in a certain direction, signals from the regular Signal Flux are registered. Generally speaking, for this use case it is handy to set the thresholds for the Filter Flux low and possibly to decrease the decay rate so that the filtering is active for a long enough time.
💮 8. Interpreting the Flux for trading signals
Lastly, the Signal Flux gives buy and sell signals when it crosses the upper/lower thresholds (UT/LT), when the filter allows it (if enabled). This can be visualised with the triangles as you may have seen in the charts in the previous sections. For people using TradingView's alerts -- these would work too out of the box. And finally, for backtesting and possibly trade automation, we will have the GYTS "🎼 Order Orchestrator" that connects with the Flux Composer.
🌸 ------ 4️⃣ --- LIMITATIONS --- 4️⃣ ------ 🌸
Only 🌸 GYTS 📡 Signal Providers are supported, as there is a specific method to pass continuous (non-binary) data in the data stream
At the moment of release, only the WaveTrend 4D Signal Provider is available. Other Signal Providers will be gradually released.






















