VWAP Bands with ML [CryptoSea]VWAP Machine Learning Bands is an advanced indicator designed to enhance trading analysis by integrating VWAP with a machine learning-inspired adaptive smoothing approach. This tool helps traders identify trend-based support and resistance zones, predict potential price movements, and generate dynamic trade signals.
Key Features
Adaptive ML VWAP Calculation: Uses a dynamically adjusted SMA-based VWAP model with volatility sensitivity for improved trend analysis.
Forecasting Mechanism: The 'Forecast' parameter shifts the ML output forward, providing predictive insights into potential price movements.
Volatility-Based Band Adjustments: The 'Sigma' parameter fine-tunes the impact of volatility on ML smoothing, adapting to market conditions.
Multi-Tier Standard Deviation Bands: Includes two levels of bands to define potential breakout or mean-reversion zones.
Dynamic Trend-Based Colouring: The VWAP and ML lines change colour based on their relative positions, visually indicating bullish and bearish conditions.
Custom Signal Detection Modes: Allows traders to choose between signals from Band 1, Band 2, or both, for more tailored trade setups.
In the image below, you can see an example of the bands on higher timeframe showing good mean reversion signal opportunities, these tend to work better in ranging markets rather than strong trending ones.
How It Works
VWAP & ML Integration: The script computes VWAP and applies a machine learning-inspired adjustment using SMA smoothing and volatility-based adaptation.
Forecasting Impact: The 'Forecast' setting shifts the ML output forward in time, allowing for anticipatory trend analysis.
Volatility Scaling (Sigma): Adjusts the ML smoothing sensitivity based on market volatility, providing more responsive or stable trend lines.
Trend Confirmation via Colouring: The VWAP line dynamically switches colour depending on whether it is above or below the ML output.
Multi-Level Band Analysis: Two standard deviation-based bands provide a framework for identifying breakouts, trend reversals, or continuation patterns.
In the example below, we can see some of the most reliable signals where we have mean reversion signals from the band whilst the price is also pulling back into the VWAP, these signals have the additional confluence which can give you a higher probabilty move.
Alerts
Bullish Signal Band 1: Alerts when the price crosses above the lower ML Band 1.
Bearish Signal Band 1: Alerts when the price crosses below the upper ML Band 1.
Bullish Signal Band 2: Alerts when the price crosses above the lower ML Band 2.
Bearish Signal Band 2: Alerts when the price crosses below the upper ML Band 2.
Filtered Bullish Signal: Alerts when a bullish signal is triggered based on the selected signal detection mode.
Filtered Bearish Signal: Alerts when a bearish signal is triggered based on the selected signal detection mode.
Application
Trend & Momentum Analysis: Helps traders identify key market trends and potential momentum shifts.
Dynamic Support & Resistance: Standard deviation bands serve as adaptive price zones for potential breakouts or reversals.
Enhanced Trade Signal Confirmation: The integration of ML smoothing with VWAP provides clearer entry and exit signals.
Customizable Risk Management: Allows users to adjust parameters for fine-tuned signal detection, aligning with their trading strategy.
The VWAP Machine Learning Bands indicator offers traders an innovative tool to improve market entries, recognize potential reversals, and enhance trend analysis with intelligent data-driven signals.
Volatilitas
Instantaneous Trendline with Cloud Instantaneous Trendline with Cloud
Introduction & History
The Instantaneous Trendline was introduced by John Ehlers, a well-known figure in the field of technical analysis, particularly for applying digital signal processing concepts to financial markets. Ehlers aimed to create an indicator that reacts to market price changes more quickly than traditional moving averages, yet remains smooth enough to avoid excessive noise. By incorporating concepts from digital filtering, he devised a formula that calculates a trendline with minimal lag—hence the term “instantaneous.”
Purpose
The primary purpose of the Instantaneous Trendline with Cloud is to provide traders and analysts with a responsive, smoothed line that closely follows market price movements. Additionally, this script enhances the visual cues by adding a cloud fill to highlight bullish and bearish zones:
Trend Identification
The ITL (Instantaneous Trendline) is plotted alongside the price. When price consistently stays above the ITL, it may signal an uptrend. Conversely, when price dips below the ITL, it can suggest a downtrend.
Signal Generation
Crossover points between the price and the ITL can serve as potential entry or exit signals. A bullish crossover (price moving above the ITL) often indicates the start of upward momentum, while a bearish crossover (price dropping below the ITL) may point to downward momentum.
Noise Reduction
By applying digital filtering concepts and smoothing through the alpha (smoothing coefficient), the ITL reduces noise while still responding relatively quickly to price changes. Traders can adjust alpha to make the trendline more reactive (higher alpha) or smoother (lower alpha).
Clarity via Cloud Fill
A color-coded cloud between the price and the ITL provides an at-a-glance view of market bias. The green cloud highlights potentially bullish phases, while the red cloud highlights potentially bearish phases.
Experiment with the alpha value (commonly between 0.2 and 0.3) to find a balance that suits your preference for responsiveness versus smoothness.
This indicator implements John Ehlers’ Instantaneous Trendline concept and plots a smoothed trendline (ITL) alongside the price. The trendline is controlled by a user-defined smoothing coefficient (alpha). A higher alpha makes the trendline respond more quickly to price changes, while a lower alpha produces a smoother line.
A color-filled cloud helps traders identify bullish and bearish conditions:
Green cloud if the price is above the ITL (bullish potential).
Red cloud if the price is below the ITL (bearish potential).
Key Benefits
Trend Visualization: Quickly see if the market is in an uptrend or downtrend based on the position of the price relative to the trendline.
Crossover Signals: Identify potential shifts in trend or momentum when the price crosses the ITL.
Customizable Sensitivity: Adjust the alpha parameter to make the ITL more or less reactive to price moves. Use this tool to better visualize short-term trend changes and potential entry/exit signals in conjunction with other technical analysis methods.
Onky's DikFat Supreme Supply and Demand
Onky's DikFat Supreme Supply and Demand (DFAT S&D)
This indicator identifies and marks potential Demand and Supply zones based on sharp price movements and volume spikes. It is designed to assist traders in recognizing areas where price could potentially reverse or move impulsively, based on the concept of supply and demand.
Key Features:
- Dynamic Demand and Supply Zones : The indicator uses historical price data and sharp price movements to detect areas where demand or supply may be concentrated. The zones are drawn as boxes on the chart for visual reference.
- Volume Spike Detection : The zones are only marked when a volume spike occurs, indicating increased market activity and potentially stronger support or resistance at those levels.
- Adjustable Parameters : Traders can adjust the Zone Size to control the lookback period for detecting supply and demand zones, and can fine-tune the Volume Multiplier to control the sensitivity of volume spikes.
- Alerts : Alerts are available for both Demand and Supply zones when they are detected, allowing traders to be notified when price enters or reacts to these areas.
How Traders Use Supply and Demand Zones:
Supply and Demand Theory suggests that prices often move in response to the balance between the amount of supply (selling pressure) and demand (buying pressure) at specific price levels. When demand exceeds supply, prices tend to rise, and when supply exceeds demand, prices tend to fall.
1. Demand Zones : These are areas where price has previously fallen to a low point and buyers have stepped in, pushing prices higher. Traders may view these zones as potential areas for price to reverse upward again.
2. Supply Zones : These are areas where price has risen to a high point and sellers have stepped in, pushing prices lower. Traders may see these zones as potential areas for price to reverse downward again.
Traders use these zones to identify potential entry points (for buying in demand zones or selling in supply zones) and exit points (if price reaches these zones in the future). The volume spike further validates the strength of these zones, as it indicates heightened market interest at those levels.
This indicator offers a flexible, visual way to identify and act upon these market dynamics. It is neutral and does not guarantee any specific outcomes, but it may assist traders in recognizing important price levels where price action could change.
Disclaimer:
This indicator is provided for informational purposes only. It is not intended to be trading advice or a recommendation to buy or sell any financial instruments. Trading involves risk, and the use of this tool does not guarantee any specific results or profits. Past performance is not indicative of future results. Users are responsible for their own decisions and should seek independent financial advice before making any investment decisions.
Momentum-Volatility Fibonacci Oscillator with Stochastic RSIMomentum Volatility Fibonacci Oscillator with Stochastic RSI
Buy when %K crosses above %D under 20 (oversold).
Sell when %K crosses below %D over 80 (overbought).
Variações Diárias no Mini ÍndicePS: Já publiquei esse script. Porém fiz alguns ajustes e continuarei fazendo.
Fiz esse script de variações baseado no valor do ajuste diário. Criei especificamente para ser usado no mini índice, se desejar usar em outro ativo, terás que modificar o código.
As variações vão de 0,5% até 1,5%, pois eu acredito que como um big player do mercado brasileiro faz operações que duram dias, semanas ou até meses em certos casos, eles vão estar muito mais interessados em saber se já subiu ou caiu 0,5% da operação dele.
Essas variações me mostram regiões em que esses players podem pesar no gráfico, sempre a favor das operações deles. É um bom parâmetro para ver se já subiu demais ou caiu demais.
Um beijo e um queijo e até depois.
Donchian Reversal Signals with LabelsOverview:
This indicator is designed to identify potential reversal signals based on price action relative to two Donchian Channels. It plots **"BUY"** and **"SELL"** labels on the chart when specific conditions are met, helping traders spot potential trend reversals.
---
Key Features:
1. Dual Donchian Channels:
- The indicator uses two Donchian Channels with user-defined lengths (`length1` and `length2`).
- The upper band of each channel is the highest high over the specified period.
- The lower band of each channel is the lowest low over the specified period.
2. Reversal Signals:
- A yellow "BUY" label appears below a green (bullish) candle if:
- The previous candle is red (bearish).
- The previous red candle touches or breaches either of the lower Donchian Channels.
- A green "SELL" label appears above a red (bearish) candle if:
- The previous candle is green (bullish).
- The previous green candle touches or breaches either of the upper Donchian Channels.
3. Visual Clarity:
- The labels are placed above or below the candles for easy visibility.
- The use of colors (yellow for buy, green for sell) makes it intuitive to interpret the signals.
---
How It Works:
1. Donchian Channel Calculation:
- The upper and lower bands of the two Donchian Channels are calculated using the highest high and lowest low over the specified periods (`length1` and `length2`).
2. Candle Color Detection:
- The script identifies whether the current and previous candles are bullish (green) or bearish (red) based on their open and close prices.
3. Signal Conditions:
- For a **"BUY" signal**:
- The current candle must be green.
- The previous candle must be red and touch or breach either of the lower Donchian Channels.
- For a **"SELL" signal**:
- The current candle must be red.
- The previous candle must be green and touch or breach either of the upper Donchian Channels.
4. Label Placement:
- The labels are plotted using `shape.labelup` and `shape.labeldown` for clear visibility.
---
Input Parameters:
- **Donchian Channel Length 1 (`length1`)**: The period for the first Donchian Channel (default: 20).
- **Donchian Channel Length 2 (`length2`)**: The period for the second Donchian Channel (default: 34).
---
How to Use:
1. Add the indicator to your chart.
2. Adjust the lengths of the Donchian Channels if needed.
3. Look for **"BUY"** and **"SELL"** labels on the chart:
- A **yellow "BUY" label** below a green candle suggests a potential bullish reversal.
- A **green "SELL" label** above a red candle suggests a potential bearish reversal.
4. Use these signals in conjunction with other technical analysis tools for confirmation.
---
Example Use Case:
- If the price touches the lower Donchian Channel and forms a red candle, followed by a green candle, a **"BUY" label** will appear, indicating a potential upward reversal.
- If the price touches the upper Donchian Channel and forms a green candle, followed by a red candle, a **"SELL" label** will appear, indicating a potential downward reversal.
---
Customization:
- You can modify the lengths of the Donchian Channels to suit your trading style.
- The colors and text of the labels can also be adjusted in the script if desired.
---
Disclaimer:
This indicator is designed to assist traders in identifying potential reversal signals. However, it should not be used in isolation. Always confirm signals with additional analysis and risk management strategies.
Özelleştirilmiş SuperTrendatr period atr çarpanı ve ondalık kısım eklenmiş . daha hassas bir indikatör.
PlanDeFi: Adaptive Trend Ribbons [ATR+RSI]#### **Overview**
The **Crypto Half-Trend Pro ** is a trend-following indicator designed to identify bullish and bearish market conditions using a combination of **moving averages, volatility adjustments, and dynamic ATR bands**. This enhanced version improves on the traditional Half-Trend system by incorporating **EMA smoothing, volatility-based adjustments, and additional fakeout/reversal detection mechanisms**.
#### **Key Features**
✅ **Trend Detection:**
- Uses a combination of fast and slow moving averages (EMA/SMA) to determine trend direction.
- Implements **Hull Moving Average (HMA)** smoothing for better trend visualization.
✅ **Dynamic ATR Bands:**
- Adjusts bands based on market volatility using **RSI-based ATR multipliers**.
- Helps identify potential **breakouts and trend reversals**.
✅ **Fakeout & Reversal Detection:**
- Detects potential **fake breakouts** by analyzing price action against extended ATR bands.
- Identifies **early reversal signals** using price crossovers and volume confirmation.
✅ **Customizable Alerts & Visuals:**
- Built-in **buy & sell signals** for trend confirmation.
- Color-coded bullish/bearish trend lines and **fakeout warnings**.
- **TradingView alerts** for trend shifts and reversals.
#### **How It Works**
🔹 The indicator calculates a **smoothed trend line** using a Hull Moving Average on dynamic price levels.
🔹 ATR bands expand/contract dynamically based on **market volatility** to improve signal accuracy.
🔹 Trend direction is confirmed when price crosses the trend line **with volume confirmation**.
🔹 **Fakeouts** are detected when price temporarily exceeds extended bands but fails to hold momentum.
🔹 **Reversal signals** are generated when price breaks back into the ATR zone with volume spikes.
#### **How to Use It**
- 📈 **Buy Signal:** When price breaks above the trend line, confirmed by volume and crossover signals.
- 📉 **Sell Signal:** When price breaks below the trend line with confirmed bearish conditions.
- 🚨 **Reversal Warning:** If price sharply re-enters the ATR zone with volume confirmation, expect a potential trend shift.
- 🛑 **Fakeout Alert:** If price temporarily breaks resistance but closes back inside, it may be a false move.
#### **Ideal For**
✔️ Crypto & Forex traders looking for **dynamic trend signals**
✔️ Swing traders wanting to **avoid fakeouts & catch reversals**
✔️ Traders seeking a **customizable, volatility-adjusted trend system**
🚀 **Try PlanDeFi: Adaptive Trend Ribbons today and improve your trend analysis!**
Gold Trading StrategyStrategy Logic:*
1. *Trend Filter:* Uses 50/200 EMA crossovers (common for gold trend identification)
2. *Momentum Confirmation:* MACD crossover system with RSI filter
3. *Volatility Breakout:* Entry on 20-period high/low breaks
4. *Risk Management:* 2% stop-loss and 3% take-profit levels
*Key Features:*
- Visual EMA trend lines
- Dynamic support/resistance levels
- Clear buy/sell signals with alerts
- Integrated risk management
- Works best on 1H-4H timeframes for gold
*Usage Tips:*
1. Apply to XAU/USD charts
2. Best used on 1-hour or 4-hour timeframes
3. Combine with fundamental analysis (USD news, geopolitical events)
4. Adjust stop-loss/take-profit based on volatility (use ATR as reference)
*Optimization Suggestions:*
- Test different EMA combinations (e.g., 100/200)
- Adjust RSI thresholds based on gold's current volatility
- Modify lookback period for support/resistance levels
- Experiment with different timeframes (works best 1H-4H)
Remember to:
- Always forward-test with small positions first
- Adjust parameters during different market regimes
- Combine with gold-specific news analysis
- Monitor USD strength and real yields correlation
Gaussian Channel Strategy v3.0- Open long position as soon as the gaussian channel is green, the close price is above the high gaussian channel band and when the Stochastic RSI is above 80 or below 20.
- Close long positions when the close price crosses the high gaussian channel band to the downside.
Date range can be adjusted in settings
Daily Range LinesGolden's daily volatility range
Long Entry = + Tomorrow’s Opening Price
Short Entry = - Tomorrow’s Opening Price
Bollinger Bands Strategy Bollinger Bands Strategy
When to buy and when to sell:
- Go long when price closes above the upper Bollinger Band.
- Close long when price closed below the lower Bollinger Band.
Custom date range in settings.
Works best on 1h to 4h charts.
Smart Market Bias [PhenLabs]📊 Smart Market Bias Indicator (SMBI)
Version: PineScript™ v6
Description
The Smart Market Bias Indicator (SMBI) is an advanced technical analysis tool that combines multiple statistical approaches to determine market direction and strength. It utilizes complexity analysis, information theory (Kullback Leibler divergence), and traditional technical indicators to provide a comprehensive market bias assessment. The indicator features adaptive parameters based on timeframe and trading style, with real-time visualization through a sophisticated dashboard.
🔧 Components
Complexity Analysis: Measures price movement patterns and trend strength
KL Divergence: Statistical comparison of price distributions
Technical Overlays: RSI and Bollinger Bands integration
Filter System: Volume and trend validation
Visual Dashboard: Dynamic color-coded display of all components
Simultaneous current timeframe + higher time frame analysis
🚨Important Explanation Feature🚨
By hovering over each individual cell in this comprehensive dashboard, you will get a thorough and in depth explanation of what each cells is showing you
Visualization
HTF Visualization
📌 Usage Guidelines
Based on your own trading style you should alter the timeframe length that you would like to be analyzing with your dashboard
The longer the term of the position you are planning on entering the higher timeframe you should have your dashboard set to
Bias Interpretation:
Values > 50% indicate bullish bias
Values < 50% indicate bearish bias
Neutral zone: 45-55% suggests consolidation
✅ Best Practices:
Use appropriate timeframe preset for your trading style
Monitor all components for convergence/divergence
Consider filter strength for signal validation
Use color intensity as confidence indicator
⚠️ Limitations
Requires sufficient historical data for accurate calculations
Higher computational complexity on lower timeframes
May lag during extremely volatile conditions
Best performance during regular market hours
What Makes This Unique
Multi-Component Analysis: Combines complexity theory, statistical analysis, and traditional technical indicators
Adaptive Parameters: Automatically optimizes settings based on timeframe
Triple-Layer Filtering: Uses trend, volume, and minimum strength thresholds
Visual Confidence System: Color intensity indicates signal strength
Multi-Timeframe Capabilities: Allowing the trader to analyze not only their current time frame but also the higher timeframe bias
🔧 How It Works
The indicator processes market data through four main components:
Complexity Score (40% weight): Analyzes price returns and pattern complexity
Kullback Leibler Divergence (30% weight): Compares current and historical price distributions
RSI Analysis (20% weight): Momentum and oversold/overbought conditions
Bollinger Band Position (10% weight): Price position relative to volatility
Underlying Method
Maintains rolling windows of price data for multiple calculations
Applies custom normalization using hyperbolic tangent function
Weights component scores based on reliability and importance
Generates final bias percentage with confidence visualization
💡 Note: For optimal results, use in conjunction with price action analysis and consider multiple timeframe confirmation. The indicator performs best when all components show alignment.
Directional High-Low VolatilityDirectional volatility.
Calculated as : High-Low / previous close
Creates a table showing the historical vol values along with the values from the user defined range too.
Directional High-Low Volatility ((High-Low)/low)Directional High-Low Volatility
Calculated as : HIGH-LOW/LOW
gold 1m stgyye script gold me 1m sahi kaam karta hai chaho to aap test Karke dekh sakte ho iska Norman Maine Kiya ware
Auto-Adjusting Kalman Filter by TenozenNew year, new indicator! Auto-Adjusting Kalman Filter is an indicator designed to provide an adaptive approach to trend analysis. Using the Kalman Filter (a recursive algorithm used in signal processing), this algo dynamically adjusts to market conditions, offering traders a reliable way to identify trends and manage risk! In other words, it's a remaster of my previous indicator, Kalman Filter by Tenozen.
What's the difference with the previous indicator (Kalman Filter by Tenozen)?
The indicator adjusts its parameters (Q and R) in real-time using the Average True Range (ATR) as a measure of market volatility. This ensures the filter remains responsive during high-volatility periods and smooth during low-volatility conditions, optimizing its performance across different market environments.
The filter resets on a user-defined timeframe, aligning its calculations with dominant trends and reducing sensitivity to short-term noise. This helps maintain consistency with the broader market structure.
A confidence metric, derived from the deviation of price from the Kalman filter line (measured in ATR multiples), is visualized as a heatmap:
Green : Bullish confidence (higher values indicate stronger trends).
Red : Bearish confidence (higher values indicate stronger trends).
Gray : Neutral zone (low confidence, suggesting caution).
This provides a clear, objective measure of trend strength.
How it works?
The Kalman Filter estimates the "true" price by filtering out market noise. It operates in two steps, that is, prediction and update. Prediction is about projection the current state (price) forward. Update is about adjusting the prediction based on the latest price data. The filter's parameters (Q and R) are scaled using normalized ATR, ensuring adaptibility to changing market conditions. So it means that, Q (Process Noise) increases during high volatility, making the filter more responsive to price changes and R (Measurement Noise) increases during low volatility, smoothing out the filter to avoid overreacting to minor fluctuations. Also, the trend confidence is calculated based on the deviation of price from the Kalman filter line, measured in ATR multiples, this provides a quantifiable measure of trend strength, helping traders assess market conditions objectively.
How to use?
Use the Kalman Filter line to identify the prevailing trend direction. Trade in alignment with the filter's slope for higher-probability setups.
Look for pullbacks toward the Kalman Filter line during strong trends (high confidence zones)
Utilize the dynamic stop-loss and take-profit levels to manage risk and lock in profits
Confidence Heatmap provides an objective measure of market sentiment, helping traders avoid low-confidence (neutral) zones and focus on high-probability opportunities
Guess that's it! I hope this indicator helps! Let me know if you guys got some feedback! Ciao!
Market Pressure Index [AlgoAlpha]The Market Pressure Index is a cutting-edge trading tool designed to measure and visualize bullish and bearish momentum through a unique blend of volatility analysis and dynamic smoothing techniques. This indicator provides traders with an intuitive understanding of market pressure, making it easier to identify trend shifts, breakout opportunities, and key moments to take profit. Perfect for scalpers and swing traders looking for a strategic edge in volatile markets.
Key Features:
🔎 Bullish and Bearish Volatility Separation : Dynamically calculates and displays bullish and bearish momentum separately, helping traders assess market direction with precision.
🎨 Customizable Appearance: Set your preferred colors for bullish and bearish signals to match your chart's theme.
📊 Deviation-Based Upper Band : Tracks extreme volatility levels using a configurable deviation multiplier, highlighting potential breakout points.
📈 Real-Time Signal Alerts : Provides alerts for bullish and bearish crossovers, as well as take-profit signals, ensuring you never miss key market movements.
⚡ Gradient-Based Visualization : Uses color gradients to depict the intensity of market pressure, making it easy to spot changes in momentum at a glance.
How to Use:
Add the Indicator : Add the Market Pressure Index to your TradingView chart by clicking the star icon. Customize inputs like the pressure lookback period, deviation settings, and colors to fit your trading style.
Interpret the Signals : Monitor the bullish and bearish momentum columns to gauge market direction. Look for crossovers to signal potential trend changes.
Take Action : Use alerts for breakouts above the upper band or for take-profit levels to enhance your trade execution.
How It Works:
The Market Pressure Index separates bullish and bearish momentum by analyzing price movement (close vs. open) and volatility. These values are smoothed using Hull Moving Averages (HMA) to highlight trends while minimizing noise. A deviation-based upper band dynamically tracks market extremes, signaling breakout zones. Color gradients depict the intensity of momentum, offering a clear, visually intuitive representation of market pressure. Alerts are triggered when significant crossovers or take-profit conditions occur, giving traders actionable insights without constant chart monitoring.
EMA/SMA 9/20/50/200 + TrailStop4 wichtige EMA/SMA und der ATR TrailStop in einem Indikator zusammengefasst.
Der ATR Trailing Stops Indikator ist eine Kombination aus der ATR (Average True Range) und einem Trailing Stop. Die Average True Range ist eine Volatilitätsmessung und kann entweder über 14 Tage oder 21 Tage eingestellt werden.
Chandelier exit bull y sell target [JLPA]es un indicador que fusionamos dos parametros en donde nos muestra una señales de bull y sell en diferentes temporalidades
VWAP Suite by Augur - Multi PeriodOverview
The Multi-Timeframe VWAP Suite revolutionizes price analysis by combining institutional-grade volume-weighted pricing with multi-period deviation analytics. This professional toolkit simultaneously tracks VWAP across 5 time horizons (Daily to Yearly) with smart deviation bands, offering traders unparalleled insight into market structure and volatility dynamics.
Key Features
Multi-Timeframe VWAP Matrix
Simultaneous Daily/Weekly/Monthly/Quarterly/Yearly VWAP tracking
Institutional-level volume-weighted calculations
Independent timeframe toggles for focused analysis
Smart Deviation Architecture
Dual-layer standard deviation bands (1σ & 2σ)
Separate colors for upper/lower deviation zones
Adaptive 95% transparency fills for layered visualization
Professional Visual Design
Strategic color coding per timeframe (FIXED palette)
Dark Blue/Yellow/Purple/Pink/Red VWAP hierarchy
Orange-Green-Red-Blue deviation band system
Advanced Calculation Engine
HLC3 price source integration
Cumulative volume-weighting algorithm
Real-time standard deviation updates
EMA and Ichimoku Baseline StrategyBest for swing trading. this strategy is made up by Baseline of ichimoku indicator and moving averages of 5ema and 34ema. It is a crossover strategy.
QT RSI [ W.ARITAS ]The QT RSI is an innovative technical analysis indicator designed to enhance precision in market trend identification and decision-making. Developed using advanced concepts in quantum mechanics, machine learning (LSTM), and signal processing, this indicator provides actionable insights for traders across multiple asset classes, including stocks, crypto, and forex.
Key Features:
Dynamic Color Gradient: Visualizes market conditions for intuitive interpretation:
Green: Strong buy signal indicating bullish momentum.
Blue: Neutral or observation zone, suggesting caution or lack of a clear trend.
Red: Strong sell signal indicating bearish momentum.
Quantum-Enhanced RSI: Integrates adaptive energy levels, dynamic smoothing, and quantum oscillators for precise trend detection.
Hybrid Machine Learning Model: Combines LSTM neural networks and wavelet transforms for accurate prediction and signal refinement.
Customizable Settings: Includes advanced parameters for dynamic thresholds, sensitivity adjustment, and noise reduction using Kalman and Jurik filters.
How to Use:
Interpret the Color Gradient:
Green Zone: Indicates bullish conditions and potential buy opportunities. Look for upward momentum in the RSI plot.
Blue Zone: Represents a neutral or consolidation phase. Monitor the market for trend confirmation.
Red Zone: Indicates bearish conditions and potential sell opportunities. Look for downward momentum in the RSI plot.
Follow Overbought/Oversold Boundaries:
Use the upper and lower RSI boundaries to identify overbought and oversold conditions.
Leverage Advanced Filtering:
The smoothed signals and quantum oscillator provide a robust framework for filtering false signals, making it suitable for volatile markets.
Application: Ideal for traders and analysts seeking high-precision tools for:
Identifying entry and exit points.
Detecting market reversals and momentum shifts.
Enhancing algorithmic trading strategies with cutting-edge analytics.
