RSI Overbought/Oversold StrategyRSI OVER BOUGHT & OVERSELL STRATEGY. use in BTC 1MTF will get good results. Can connect through pine connector for auto trades by adding license ID.
Sentiment
Ali Bull Bear Power (ABBP)Based on the numerical difference between the close and the high and low prices in a specific length
APU Market Cap Dominance vs Murad's PicksChart of APU Market Cap Dominance, showing the percent of APU's Market Cap as it relates to the sum total of all of Murad's Picks (muradlist.xyz). Orange line is the 30-day sma.
Chhaiya Buy Sell SignalThe Chhaiya Buy Sell Signal is a simple yet effective tool that combines three powerful indicators to help traders make better decisions:
✅ SMA with Shift – A 40-period Simple Moving Average (SMA) with a customizable shift to visualize trend direction more clearly.
✅ VWAP (Volume Weighted Average Price) – Tracks the average price weighted by volume, helping identify key support and resistance levels.
✅ RSI (Relative Strength Index) – A 14-period RSI with overbought (70) and oversold (30) levels, displayed in a separate panel for better visibility.
Key Features:
Customizable SMA shift to adjust trend positioning.
VWAP plotted on the main chart for intraday analysis.
RSI displayed separately to avoid clutter and improve readability.
No MACD or alerts to keep it lightweight and focused.
Ideal for traders looking for trend confirmation, key price levels, and momentum analysis in one simple indicator.
🚀 Copy & apply this indicator to your TradingView chart now!
Zona de Desequilíbrio Não Recuperada com PVSRAPVSRA ZONA Tendências: Procure sequências de candles verde limão (alta) ou vermelho (baixa) para identificar tendências fortes.
Reversões: Um candle vermelho ou verde limão após uma série de candles brancos/cinza pode indicar uma mudança de direção.
Contexto: Combine com níveis de suporte/resistência. Um candle verde limão em suporte pode ser um sinal de compra, enquanto um vermelho em resistência pode sugerir venda.
smart money volumeHighlights accumulation and distribution zones as well as Weak buying and selling points of interest
Normalized Equity/Bond RatioThis indicator calculates a normalized equity-to-bond ratio over a 252-day lookback (~1 trading year) to assess risk-on vs. risk-off sentiment. It addresses the issue of direct ratios (e.g., SPY/TLT) being visually dominated by high nominal stock prices, which can obscure bond price movements.
A rising ratio indicates equities are outperforming bonds, suggesting risk-on conditions, while a declining ratio signals a shift toward bonds, often associated with risk-off behavior. The normalization ensures better visibility and comparability of the trend over time.
A ratio > 1 means the equity (e.g., SPY) is outperforming the bond (e.g., AGG) since the lookback. A ratio < 1 means bonds are outperforming.
Display Stocks with Change%Display Stocks with Change% - Pine Script™ Indicator
Overview
The Display Stocks with Change% indicator is designed for TradingView to highlight specific stocks and their percentage change on a given date. The indicator allows users to input custom stock names, dates, and percentage changes, displaying relevant information directly on the chart. Additionally, it provides an option to connect the stock's high price with a label using customizable line styles.
Features
Custom Stock List: Users can input multiple stock names along with corresponding dates and percentage changes.
Date-Specific Highlighting: The script dynamically checks if the current bar's date matches any input date and displays relevant stock data.
Color-Coded Percentage Change: Stocks with a negative change are displayed in red, while positive or neutral changes are in black.
Connecting Lines: An option to enable or disable dotted, dashed, or solid lines connecting the stock's high price to the label.
Automatic Label Positioning: Adjusts label alignment based on recent price movement to avoid overlap and enhance visibility.
Input Parameters
COB (Close of Business Dates): A comma-separated list of dates in DD-MM-YYYY format.
Stock Names: A comma-separated list of stock tickers.
Change Percentage: Corresponding percentage changes for the listed stocks.
Show Connecting Lines: Boolean toggle to enable or disable connecting lines.
Line Color & Style: Customizable line color and style (solid, dotted, or dashed).
How It Works
Data Processing: The script splits user inputs into arrays and iterates through them.
Date Matching: It checks if the current bar's date matches any of the provided COB dates.
Label Formatting: When a match is found, it constructs a label containing the stock name and its percentage change.
Text Alignment & Factor Adjustments: Dynamically determines label positioning based on recent price movements.
Label Display: If any matching stocks are found, a label is created at the stock's high price.
Connecting Line (Optional): If enabled, a line is drawn from the stock’s high to the label for better visualization.
Key Benefits for Traders:
Track Multiple Stocks at Once – Displays stock names and their percentage changes on specific dates automatically.
Saves Time – No need to manually check historical data; the indicator overlays key stock movements.
Visual Insights – Labels & color coding (red for negative, black for positive) make it easy to spot trends.
Customizable & Automated – Add your own stocks, dates, and percentage changes; the script adjusts dynamically.
📌 Use Case Example:
You’re tracking MRPL, CARTRADE, and JSWENERGY on specific dates. Instead of digging through historical data, this indicator automatically highlights the stock’s movement on that date, allowing you to make faster, informed trading decisions.
FVRL Buy Signal StrategyFVRL Buy Signal TradingView Script Created!
This script automatically detects the Buy Signal based on the FVRL strategy and:
Marks the Buy Signal when the setup is valid.
Highlights the FVRL support area (blue dotted line).
Sets Stop-Loss (SL) & Take-Profit (TP) dynamically.
Filters trades using a trend confirmation (50-SMA).
Triggers real-time alerts when a Buy Signal appears.
Pivot P/N VolumesTitle: Pivot P/N Volumes
Short Title: PPNV
Description:
The "Pivot P/N Volumes" indicator is a minimalistic volume analysis tool designed to cut through market noise and highlight key volume events in a separate pane. It strips away conventional volume clutter, focusing on four distinct volume types with clear visual cues, making it ideal for traders seeking actionable insights without distractions.
Key Features:
Blue Bars: Pocket Pivot Volumes (PPV) - Up-day volumes exceeding the highest down-day volume of the last 10 down-days, signaling potential bullish strength.
Orange Bars: Pivot Negative Volumes - Down-day volumes greater than the highest up-day volume of the last 10 up-days, indicating significant bearish pressure.
Red Bars: Down-day volumes above the 50-period EMA of volume, highlighting above-average selling activity.
Green Bars: Up-day volumes above the 50-period EMA of volume, showing above-average buying interest.
Noise: All other volumes are muted as dark grey (down-days) or light grey (up-days) for easy filtering.
TRP Stop-Loss and Position SizingScript is based on TRP to see both Long Stop Loss and Short Stop Loss, You can Also adjust the position size based on your capital and percentage risk.
Moon Phases (8) + Gann Square of NineThis is based on the principles of W.D. Gann and the square of nine while including moon phases. Gann's interest was in the crossover of astrology in this case the effects of the moon that it can have on the market or peoples emotions. This is in direct relation to his square of nine principles. Enjoy!
Volume Block Order AnalyzerCore Concept
The Volume Block Order Analyzer is a sophisticated Pine Script strategy designed to detect and analyze institutional money flow through large block trades. It identifies unusually high volume candles and evaluates their directional bias to provide clear visual signals of potential market movements.
How It Works: The Mathematical Model
1. Volume Anomaly Detection
The strategy first identifies "block trades" using a statistical approach:
```
avgVolume = ta.sma(volume, lookbackPeriod)
isHighVolume = volume > avgVolume * volumeThreshold
```
This means a candle must have volume exceeding the recent average by a user-defined multiplier (default 2.0x) to be considered a significant block trade.
2. Directional Impact Calculation
For each block trade identified, its price action determines direction:
- Bullish candle (close > open): Positive impact
- Bearish candle (close < open): Negative impact
The magnitude of impact is proportional to the volume size:
```
volumeWeight = volume / avgVolume // How many times larger than average
blockImpact = (isBullish ? 1.0 : -1.0) * (volumeWeight / 10)
```
This creates a normalized impact score typically ranging from -1.0 to 1.0, scaled by dividing by 10 to prevent excessive values.
3. Cumulative Impact with Time Decay
The key innovation is the cumulative impact calculation with decay:
```
cumulativeImpact := cumulativeImpact * impactDecay + blockImpact
```
This mathematical model has important properties:
- Recent block trades have stronger influence than older ones
- Impact gradually "fades" at rate determined by decay factor (default 0.95)
- Sustained directional pressure accumulates over time
- Opposing pressure gradually counteracts previous momentum
Trading Logic
Signal Generation
The strategy generates trading signals based on momentum shifts in institutional order flow:
1. Long Entry Signal: When cumulative impact crosses from negative to positive
```
if ta.crossover(cumulativeImpact, 0)
strategy.entry("Long", strategy.long)
```
*Logic: Institutional buying pressure has overcome selling pressure, indicating potential upward movement*
2. Short Entry Signal: When cumulative impact crosses from positive to negative
```
if ta.crossunder(cumulativeImpact, 0)
strategy.entry("Short", strategy.short)
```
*Logic: Institutional selling pressure has overcome buying pressure, indicating potential downward movement*
3. Exit Logic: Positions are closed when the cumulative impact moves against the position
```
if cumulativeImpact < 0
strategy.close("Long")
```
*Logic: The original signal is no longer valid as institutional flow has reversed*
Visual Interpretation System
The strategy employs multiple visualization techniques:
1. Color Gradient Bar System:
- Deep green: Strong buying pressure (impact > 0.5)
- Light green: Moderate buying pressure (0.1 < impact ≤ 0.5)
- Yellow-green: Mild buying pressure (0 < impact ≤ 0.1)
- Yellow: Neutral (impact = 0)
- Yellow-orange: Mild selling pressure (-0.1 < impact ≤ 0)
- Orange: Moderate selling pressure (-0.5 < impact ≤ -0.1)
- Red: Strong selling pressure (impact ≤ -0.5)
2. Dynamic Impact Line:
- Plots the cumulative impact as a line
- Line color shifts with impact value
- Line movement shows momentum and trend strength
3. Block Trade Labels:
- Marks significant block trades directly on the chart
- Shows direction and volume amount
- Helps identify key moments of institutional activity
4. Information Dashboard:
- Current impact value and signal direction
- Average volume benchmark
- Count of significant block trades
- Min/Max impact range
Benefits and Use Cases
This strategy provides several advantages:
1. Institutional Flow Detection: Identifies where large players are positioning themselves
2. Early Trend Identification: Often detects institutional accumulation/distribution before major price movements
3. Market Context Enhancement: Provides deeper insight than simple price action alone
4. Objective Decision Framework: Quantifies what might otherwise be subjective observations
5. Adaptive to Market Conditions: Works across different timeframes and instruments by using relative volume rather than absolute thresholds
Customization Options
The strategy allows users to fine-tune its behavior:
- Volume Threshold: How unusual a volume spike must be to qualify
- Lookback Period: How far back to measure average volume
- Impact Decay Factor: How quickly older trades lose influence
- Visual Settings: Labels and line width customization
This sophisticated yet intuitive strategy provides traders with a window into institutional activity, helping identify potential trend changes before they become obvious in price action alone.
Quantum Moving Average - QMA (TechnoBlooms)The Quantum Moving Average (QMA) is an innovative and advanced Moving Average model designed for traders seeking a more adaptive and precise trend analysis. Unlike traditional moving averages, it integrates a multi-timeframe approach, dynamically selecting and weighting four different timeframes to provide traders with more accurate and reliable trend prediction.
Key Features
Multi-Timeframe averaging
QMA calculates its value based on four different timeframes, offering a broader perspective on market trends.
Dynamic Weighting Mechanism
Unlike fixed weight Moving Averages, QMA assigns adaptive weightage to the selected timeframes, enhancing its responsiveness.
Superior Trend Detection
Provides a smoother and more reliable trend curve reducing noise or false signals.
Enhanced Market Analysis
QMA helps traders identify trend shifts earlier by incorporating multi-timeframe confluence.
ORB Pro Indicator (Fixed)ORB strategy with signals for US open buy and sell and for false breakout. BETA mode
ST_HTF_EMA### **ST_HTF_EMA – Higher Timeframe EMA Overlay**
#### **Description:**
The **ST_HTF_EMA** indicator plots a **21-period Exponential Moving Average (EMA)** from a **higher timeframe** onto the current chart. This allows traders to track key trend levels from a larger perspective while trading on a lower timeframe.
#### **Features:**
- **Customizable Timeframe:** The EMA is sourced from a user-defined timeframe (default: **5-minute**).
- **EMA Calculation:** Uses the **21-period EMA** for smoothing price action and identifying trend direction.
- **Envelope Bands (Optional):** A **0.75% envelope** can be toggled on to create upper and lower bands around the EMA for potential dynamic support/resistance zones.
- **Overlay on Chart:** The EMA and envelope bands are plotted directly on the price chart for easy visibility.
#### **How to Use:**
- Use the **EMA as a trend guide**—price above the EMA suggests bullish momentum, while price below indicates bearish momentum.
- Enable the **envelope bands** (if needed) to spot price deviations from the mean for possible reversal or continuation trades.
#### **Customization:**
- Modify the **timeframe** to adapt the EMA to different market structures.
- Adjust the **envelope percentage** to fine-tune sensitivity.
#### **Visuals:**
- The **EMA is plotted in yellow** for clear visibility.
- **Envelope bands (if enabled)** appear in yellow, with a subtle background highlight.
This indicator is ideal for traders who rely on **higher timeframe trend confirmation** while making decisions on lower timeframes. 🚀
MSTR Implied Price vs Spot Price)Plots the current price of MSTR vs the Implied Price. The Implied Price is calculated by using the total value of Bitcoin holdings based on the spot price of BTC, less long term debt, divided by total shares outstanding, and then multiplied by the trailing average of the NAV premium.
You will need to update these values as they are changed by the company or market sentiment:
Total BTC Held
Total Debt, Including Preferred Stock,
Total Fully Diluted Shares Outstanding
NAV Premium (best to use a 30 day trailing average)
[GYTS-CE] Market Regime Detector🧊 Market Regime Detector (Community Edition)
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- INTRODUCTION --------- 🌸
💮 What is the Market Regime Detector?
The Market Regime Detector is an advanced, consensus-based indicator that identifies the current market state to increase the probability of profitable trades. By distinguishing between trending (bullish or bearish) and cyclic (range-bound) market conditions, this detector helps you select appropriate tactics for different environments. Instead of forcing a single strategy across all market conditions, our detector allows you to adapt your approach based on real-time market behaviour.
💮 The Importance of Market Regimes
Markets constantly shift between different behavioural states or "regimes":
• Bullish trending markets - characterised by sustained upward price movement
• Bearish trending markets - characterised by sustained downward price movement
• Cyclic markets - characterised by range-bound, oscillating behaviour
Each regime requires fundamentally different trading approaches. Trend-following strategies excel in trending markets but fail in cyclic ones, while mean-reversion strategies shine in cyclic markets but underperform in trending conditions. Detecting these regimes is essential for successful trading, which is why we've developed the Market Regime Detector to accurately identify market states using complementary detection methods.
🌸 --------- KEY FEATURES --------- 🌸
💮 Consensus-Based Detection
Rather than relying on a single method, our detector employs two complementary detection methodologies that analyse different aspects of market behaviour:
• Dominant Cycle Average (DCA) - analyzes price movement relative to its lookback period, a proxy for the dominant cycle
• Volatility Channel - examines price behaviour within adaptive volatility bands
These diverse perspectives are synthesised into a robust consensus that minimises false signals while maintaining responsiveness to genuine regime changes.
💮 Dominant Cycle Framework
The Market Regime Detector uses the concept of dominant cycles to establish a reference framework. You can input the dominant cycle period that best represents the natural rhythm of your market, providing a stable foundation for regime detection across different timeframes.
💮 Intuitive Parameter System
We've distilled complex technical parameters into intuitive controls that traders can easily understand:
• Adaptability - how quickly the detector responds to changing market conditions
• Sensitivity - how readily the detector identifies transitions between regimes
• Consensus requirement - how much agreement is needed among detection methods
This approach makes the detector accessible to traders of all experience levels while preserving the power of the underlying algorithms.
💮 Visual Market Feedback
The detector provides clear visual feedback about the current market regime through:
• Colour-coded chart backgrounds (purple shades for bullish, pink for bearish, yellow for cyclic)
• Colour-coded price bars
• Strength indicators showing the degree of consensus
• Customizable colour schemes to match your preferences or trading system
💮 Integration in the GYTS suite
The Market Regime Detector is compatible with the GYTS Suite , i.e. it passes the regime into the 🎼 Order Orchestrator where you can set how to trade the trending and cyclic regime.
🌸 --------- CONFIGURATION SETTINGS --------- 🌸
💮 Adaptability
Controls how quickly the Market Regime detector adapts to changing market conditions. You can see it as a low-frequency, long-term change parameter:
Very Low: Very slow adaptation, most stable but may miss regime changes
Low: Slower adaptation, more stability but less responsiveness
Normal: Balanced between stability and responsiveness
High: Faster adaptation, more responsive but less stable
Very High: Very fast adaptation, highly responsive but may generate false signals
This setting affects lookback periods and filter parameters across all detection methods.
💮 Sensitivity
Controls how sensitive the detector is to market regime transitions. This acts as a high-frequency, short-term change parameter:
Very Low: Requires substantial evidence to identify a regime change
Low: Less sensitive, reduces false signals but may miss some transitions
Normal: Balanced sensitivity suitable for most markets
High: More sensitive, detects subtle regime changes but may have more noise
Very High: Very sensitive, detects minor fluctuations but may produce frequent changes
This setting affects thresholds for regime detection across all methods.
💮 Dominant Cycle Period
This parameter allows you to specify the market's natural rhythm in bars. This represents a complete market cycle (up and down movement). Finding the right value for your specific market and timeframe might require some experimentation, but it's a crucial parameter that helps the detector accurately identify regime changes. Most of the times the cycle is between 20 and 40 bars.
💮 Consensus Mode
Determines how the signals from both detection methods are combined to produce the final market regime:
• Any Method (OR) : Signals bullish/bearish if either method detects that regime. If methods conflict (one bullish, one bearish), the stronger signal wins. More sensitive, catches more regime changes but may produce more false signals.
• All Methods (AND) : Signals only when both methods agree on the regime. More conservative, reduces false signals but might miss some legitimate regime changes.
• Weighted Decision : Balances both methods with equal weighting. Provides a middle ground between sensitivity and stability.
Each mode also calculates a continuous regime strength value that's used for colour intensity in the 'unconstrained' display mode.
💮 Display Mode
Choose how to display the market regime colours:
• Unconstrained regime: Shows the regime strength as a continuous gradient. This provides more nuanced visualisation where the intensity of the colour indicates the strength of the trend.
• Consensus only: Shows only the final consensus regime with fixed colours based on the detected regime type.
The background and bar colours will change to indicate the current market regime:
• Purple shades: Bullish trending market (darker purple indicates stronger bullish trend)
• Pink shades: Bearish trending market (darker pink indicates stronger bearish trend)
• Yellow: Cyclic (range-bound) market
💮 Custom Colour Options
The Market Regime Detector allows you to customize the colour scheme to match your personal preferences or to coordinate with other indicators:
• Use custom colours: Toggle to enable your own colour choices instead of the default scheme
• Transparency: Adjust the transparency level of all regime colours
• Bullish colours: Define custom colours for strong, medium, weak, and very weak bullish trends
• Bearish colours: Define custom colours for strong, medium, weak, and very weak bearish trends
• Cyclic colour: Define a custom colour for cyclic (range-bound) market conditions
🌸 --------- DETECTION METHODS --------- 🌸
💮 Dominant Cycle Average (DCA)
The Dominant Cycle Average method forms a key part of our detection system:
1. Theoretical Foundation :
The DCA method builds on cycle analysis and the observation that in trending markets, price consistently remains on one side of a moving average calculated using the dominant cycle period. In contrast, during cyclic markets, price oscillates around this average.
2. Calculation Process :
• We calculate a Simple Moving Average (SMA) using the specified lookback period - a proxy for the dominant cycle period
• We then analyse the proportion of time that price spends above or below this SMA over a lookback window. The theory is that the price should cross the SMA each half cycle, assuming that the dominant cycle period is correct and price follows a sinusoid.
• This lookback window is adaptive, scaling with the dominant cycle period (controlled by the Adaptability setting)
• The different values are standardised and normalised to possess more resolving power and to be more robust to noise.
3. Regime Classification :
• When the normalised proportion exceeds a positive threshold (determined by Sensitivity setting), the market is classified as bullish trending
• When it falls below a negative threshold, the market is classified as bearish trending
• When the proportion remains between these thresholds, the market is classified as cyclic
💮 Volatility Channel
The Volatility Channel method complements the DCA method by focusing on price movement relative to adaptive volatility bands:
1. Theoretical Foundation :
This method is based on the observation that trending markets tend to sustain movement outside of normal volatility ranges, while cyclic markets tend to remain contained within these ranges. By creating adaptive bands that adjust to current market volatility, we can detect when price behaviour indicates a trending or cyclic regime.
2. Calculation Process :
• We first calculate a smooth base channel center using a low pass filter, creating a noise-reduced centreline for price
• True Range (TR) is used to measure market volatility, which is then smoothed and scaled by the deviation factor (controlled by Sensitivity)
• Upper and lower bands are created by adding and subtracting this scaled volatility from the centreline
• Price is smoothed using an adaptive A2RMA filter, which has a very flat and stable behaviour, to reduce noise while preserving trend characteristics
• The position of this smoothed price relative to the bands is continuously monitored
3. Regime Classification :
• When smoothed price moves above the upper band, the market is classified as bullish trending
• When smoothed price moves below the lower band, the market is classified as bearish trending
• When price remains between the bands, the market is classified as cyclic
• The magnitude of price's excursion beyond the bands is used to determine trend strength
4. Adaptive Behaviour :
• The smoothing periods and deviation calculations automatically adjust based on the Adaptability setting
• The measured volatility is calculated over a period proportional to the dominant cycle, ensuring the detector works across different timeframes
• Both the center line and the bands adapt dynamically to changing market conditions, making the detector responsive yet stable
This method provides a unique perspective that complements the DCA approach, with the consensus mechanism synthesising insights from both methods.
🌸 --------- USAGE GUIDE --------- 🌸
💮 Starting with Default Settings
The default settings (Normal for Adaptability and Sensitivity, Weighted Decision for Consensus Mode) provide a balanced starting point suitable for most markets and timeframes. Begin by observing how these settings identify regimes in your preferred instruments.
💮 Finding the Optimal Dominant Cycle
The dominant cycle period is a critical parameter. Here are some approaches to finding an appropriate value:
• Start with typical values, usually something around 25 works well
• Visually identify the average distance between significant peaks and troughs
• Experiment with different values and observe which provides the most stable regime identification
• Consider using cycle-finding indicators to help identify the natural rhythm of your market
💮 Adjusting Parameters
• If you notice too many regime changes → Decrease Sensitivity or increase Consensus requirement
• If regime changes seem delayed → Increase Adaptability
• If a trending regime is not detected, the market is automatically assigned to be in a cyclic state
• If you want to see more nuanced regime transitions → Try the "unconstrained" display mode (note that this will not affect the output to other indicators)
💮 Trading Applications
Regime-Specific Strategies:
• Bullish Trending Regime - Use trend-following strategies, trail stops wider, focus on breakouts, consider holding positions longer, and emphasize buying dips
• Bearish Trending Regime - Consider shorts, tighter stops, focus on breakdown points, sell rallies, implement downside protection, and reduce position sizes
• Cyclic Regime - Apply mean-reversion strategies, trade range boundaries, apply oscillators, target definable support/resistance levels, and use profit-taking at extremes
Strategy Switching:
Create a set of rules for each market regime and switch between them based on the detector's signal. This approach can significantly improve performance compared to applying a single strategy across all market conditions.
GYTS Suite Integration:
• In the GYTS 🎼 Order Orchestrator, select the '🔗 STREAM-int 🧊 Market Regime' as the market regime source
• Note that the consensus output (i.e. not the "unconstrained" display) will be used in this stream
• Create different strategies for trending (bullish/bearish) and cyclic regimes. The GYTS 🎼 Order Orchestrator is specifically made for this.
• The output stream is actually very simple, and can possibly be used in indicators and strategies as well. It outputs 1 for bullish, -1 for bearish and 0 for cyclic regime.
🌸 --------- FINAL NOTES --------- 🌸
💮 Development Philosophy
The Market Regime Detector has been developed with several key principles in mind:
1. Robustness - The detection methods have been rigorously tested across diverse markets and timeframes to ensure reliable performance.
2. Adaptability - The detector automatically adjusts to changing market conditions, requiring minimal manual intervention.
3. Complementarity - Each detection method provides a unique perspective, with the collective consensus being more reliable than any individual method.
4. Intuitiveness - Complex technical parameters have been abstracted into easily understood controls.
💮 Ongoing Refinement
The Market Regime Detector is under continuous development. We regularly:
• Fine-tune parameters based on expanded market data
• Research and integrate new detection methodologies
• Optimise computational efficiency for real-time analysis
Your feedback and suggestions are very important in this ongoing refinement process!
BTC: Open InterestThis indicator tracks the 7-day (default) percentage change in open interest (OI), providing insights into market participation trends. It includes customizable periods and colors, allowing traders to adjust settings for better visualization.
Open interest (OI) is the total number of active contracts (futures or options) that haven’t been closed or settled. It represents the total open positions in the market.
Thus when OI increases, more traders are entering new positions, signaling growing market interest. Conversely, when OI decreases, positions are being closed, suggesting lower trader participation or liquidation.
Attributes & Features:
Open Interest Percentage Change – Measures the 7-day % change in open interest to track market participation.
Customizable Calculation Period – Users can adjust the period (default: 7 days) for more flexible analysis.
Adjustable Colors – Allows modification of colors for better visualization.
Trend Identification – Highlights rising vs. falling open interest trends.
Works Across Assets – Can be used for cryptos, stocks, and futures with open interest data.
Overlay or Separate Panel – Can be plotted on price chart or as a separate indicator.
How It Works:
Fetches Open Interest Data – Retrieves open interest values for each day for USD, USDT, and USDC Bitcoin Perpetual Derivitives.
Calculates Percentage Change – Compares current open interest to its value X days ago (Default = 7 days).
Standard Deviation – Applies standard deviation ranging from -2 to +2 deviations to identify large shifts in OI.
Visual Alerts – Can highlight extreme increases or decreases signaling potential market shifts.
NOTE: THE INDICATOR DATA ONLY GOES BACK TO START OF 2022
Improved MA Cross SignalsThis is a 10 over 20 over 50 indicator with additional 120 and 300 MA. The 120 and 300 help with the 4h chart, but the results between 4h and 1D are close.
If you are looking to identify the direction and avoid jumping the gun, this is a simple indicator that can help you.
The signals are showing on reversal so a buy after a sell and vice versa. The signals appear after the 10 crosses the 20MA recommended to follow the direction of the 120 and 300, to make sure you're following the market.
VWAP Balance Zones - SessionsVWAP Balance Zones Sessions Version is an alternate take on the Original VWAP Balance Zones indicator. The Sessions version allows users to select a specific session to view the VWAP Balance Zones at while still utilizing the full ETH Data.
The Session version provides a better focused display while still maintaining the core functions of the original script with mindful optimizations.
Author's Note: "VBZ Sessions was made with logistics in mind, for the users who only trade within certain times of the day. While it displays the same core concepts, it is not as "Raw" of a display as the Original. For this reason, some users may prefer the Original VWAP Balance Zones, which is why I have opted to release this alternate version instead of updating the original."
> What are VWAP Balance Zones?
"VWAP Balance Zones" is an original concept aimed at identifying the equilibrium area between market participants within the current trend by averaging the Daily Extremes and the Daily VWAP.
Refer to the illustration below for a better understanding of exactly how VWAP Balance Zones are formed:
These zones are displayed for the Daily, Weekly, and Monthly VWAPs, with the most interactive timeframe being the Daily.
> Features
1. The Session Version uses ETH data at all times, and does not solely rely on the chart's data to create the VWAPs or Zones.
This allows the user to focus on a specific trading session, while not losing out on the full VBZ Calculation, with the notable benefit of a cleaner display.
The Original VBZ starts drawing at the beginning of the chart's "Day", and would produce different results when using an RTH chart vs an ETH chart. Along with creating a bird's nest of unusable data at the beginning of the day.
2. Session Start and End lines are displayed for easier identification of the designated trading session.
3. The extreme "Close" Lines are no longer displayed to reduce noise and redundancy.
4. Additionally, the interior VWAP lines are no longer displayed. Ultimately, this was to reduce noise and focus the script on the 50% zones.
5. Weekly and Monthly Zones are now displayed due to the reduced noise!
6. As with the original, the weekly display will yield to the daily, and the monthly display will yield to the weekly.
In the screenshot below, you can observe this behavior.
Enjoy!