DJAM MAVS PLUS+ Entries + ExitsDJAM-MAVS PLUS+
A Versatile Moving Averages & Signals Indicator
The DJAM-MAVS PLUS+ is an all-in-one technical indicator designed for traders who value precision and clarity in analyzing market trends. Built for traders of all experience levels, this tool combines the power of multiple moving averages and exponential moving averages (MA & EMA) with visual signals to highlight critical market trends and crossovers.
Key Features:
Customizable Moving Averages & EMAs: Includes adjustable lengths for:
2-Day MA & EMA
13-Day MA
50-Day MA
60-Day MA
8-Day EMA
39-Day EMA
100-Day MA
200-Day MA
Visual Crossovers: Highlights bullish and bearish crossover conditions between key MAs and EMAs with green and red vertical background bars for easy trend identification.
Anchor Period: Customize the anchor period to align with different timeframes like Sessions, Weeks, Months, or even Years, enhancing its flexibility for various trading styles.
Stochastic Bands Multiplier: Adjust the bands with a customizable multiplier for a more granular analysis of market volatility.
Optimized for Overlay Use: Plots directly on your chart, providing an uncluttered yet highly informative view of the market.
Why Choose DJAM-MAVS PLUS+?
This indicator empowers you to:
Identify potential trend reversals with ease.
Monitor short-term and long-term trends simultaneously.
Gain a clearer visual representation of key market signals through colored crossovers.
Tailor the settings to fit your unique trading strategy.
Who is it for?
Swing traders seeking reliable trend-following signals.
Day traders who need clarity on short-term momentum shifts.
Long-term investors looking to confirm major trend changes.
How to Use:
Customize Inputs: Tailor the moving average and EMA lengths to match your strategy.
Monitor Crossovers: Watch for green and red background bars to signal potential bullish or bearish momentum shifts.
Adapt Anchor Periods: Use the indicator across various timeframes, from daily to yearly, for enhanced market insights.
Join the Community
The DJAM-MAVS PLUS+ is more than just an indicator; it's your edge in the market. Share your feedback, strategies, and experiences with the TradingView community to help refine and optimize this tool for all traders.
Visit my Website @ CryptoJamz.com or Follow Me on StockTwits.com @ StockTwits.com
Khối lượng
mr.crypto731Description:
📊 Enhanced MACD with Strong Buy/Sell Signals 🚀
This script is designed to enhance the standard MACD indicator by adding clear, strong buy and sell signals. It includes:
MACD Line: A fast-moving average that reacts quickly to price changes.
Signal Line: A slower-moving average that smooths out price fluctuations.
MACD Histogram: The difference between the MACD Line and Signal Line, helping to identify trend strength and direction.
Key Features:
Strong Buy/Sell Signals: Uses crossovers of the MACD Line and Signal Line to generate strong buy/sell signals.
Color-Coded Background: Provides visual cues with background colors to highlight strong signals.
User-Friendly Interface: Customizable settings for MACD Fast Length, Slow Length, and Signal Smoothing.
Candle VolumeThis indicator gives gives candle volume represented in X.Y format for simplicity.
100% = 1.0
20% = 0.2
Anything 10X is represented by an arrow up or down based on candle price delta open to close.
By default, a 500 candle lookback of volume is used excluding exteem outliers of 50.
You can adjust these in settings.
Bearish EMA + MFI OS | SoV DCA v1.1A systematic savings tool designed for long-term wealth building through strategic asset accumulation. This indicator helps investors maintain disciplined buying during market downtrends, turning bearish periods into opportunities for methodical saving.
Strategy Components:
- Uses Death Cross (short EMA crossing below long EMA) to identify significant downtrends
- Confirms buying opportunities with oversold MFI conditions to improve entry prices
- Implements time-based DCA to maintain consistent investment discipline
- Tracks investment progress with detailed performance metrics
Perfect for:
- Long-term savers focused on wealth preservation
- Investors building positions in Store of Value assets
- Those seeking to automate their savings strategy
- Converting regular income into hard assets systematically
Features:
- Customizable investment amounts and intervals
- Detailed investment tracking and performance analysis
- Break-even calculations and position monitoring
- Flexible asset selection for various Store of Value instruments
Best used on weekly or daily timeframes for strategic long-term accumulation. This tool emphasizes steady wealth building over short-term trading, helping investors stay committed to their savings goals regardless of market conditions.
Note: Designed for disciplined saving through systematic buying, not for timing profits or short-term trading.
Volume Multiplier Index (VMI)Этот индикатор масштабирует объемы и позволяет анализировать их через две линии, основанные на различных подходах (экспонента и логарифм), с визуализацией ключевых уровней (перекупленности, перепроданности и средней зоны).
1. Описание настроек
Линия 1: "Exponent Line"
Show Exponent Line: Включает/выключает отображение линии экспоненты.
Period for Exponent: Период для расчета скользящих максимумов и минимумов объема.
Use Exponent Multiplier: Включает/выключает применение множителя.
Exponent Multiplier: Значение степени, в которую возводится объем.
Линия 2: "Logarithm Line"
Show Logarithm Line: Включает/выключает отображение логарифмической линии.
Period for Logarithm: Период для расчета скользящих максимумов и минимумов объема.
Use Logarithm Multiplier: Включает/выключает применение логарифмического множителя.
Общие элементы
Уровни:
80: Верхняя граница, обозначающая зону перекупленности.
50: Средний уровень, зона баланса объема.
20: Нижняя граница, зона перепроданности.
Заливка фона: Показывает диапазон между уровнями 20 и 80 для наглядности.
2. Интерпретация линий
Линия 1 (Exponent):
Линия усиливает влияние крупных объемов. Используется для определения аномально высоких объемов, что может указывать на сильные движения рынка (тренд или разворот).
Пример:
Если линия резко поднимается выше уровня 80 — это сигнал о значительном увеличении объема, возможно, начало сильного тренда.
Линия вблизи 20 — снижение активности, возможна консолидация или боковое движение.
Линия 2 (Logarithm):
Линия сглаживает влияние крупных объемов, делая акцент на стабильных изменениях. Подходит для анализа общего тренда или средней рыночной активности.
Пример:
Линия выше 80 — указывает на устойчивую активность вблизи перекупленности.
Линия ниже 20 — активность снижается, сигнализируя о возможной перепроданности.
3. Как применять индикатор
Анализ зон объемов:
Используйте верхний уровень (80) для выявления зон перекупленности.
Используйте нижний уровень (20) для поиска зон перепроданности.
Средний уровень (50) помогает оценивать нормальное состояние рынка.
Совмещение линий:
Если обе линии поднимаются выше 80, это подтверждение высокой активности рынка.
Если обе линии находятся ниже 20, это подтверждение низкой активности (возможна консолидация).
Фильтрация сигналов:
Используйте линию экспоненты для поиска резких скачков объема.
Линия логарифма помогает сгладить шум и дает подтверждение для более устойчивых трендов.
Комбинация с другими индикаторами:
Индикатор эффективен в сочетании с трендовыми (например, MACD, RSI) для подтверждения сигналов.
Например, перекупленность по объему может совпадать с дивергенцией на RSI.
4. Примеры сценариев использования
Сценарий 1: Идентификация тренда
Если линия экспоненты пересекает уровень 80, а линия логарифма также приближается к этому уровню, это может быть сигналом продолжения сильного тренда.
Сценарий 2: Разворот рынка
Когда линии опускаются ниже уровня 20, а затем обе начинают подниматься вверх — возможно начало нового тренда.
Сценарий 3: Консолидация
Если линии движутся около уровня 50 и не показывают сильных отклонений, рынок, скорее всего, находится в фазе консолидации.
5. Рекомендации по интерпретации
Не использовать индикатор в одиночку — он предназначен для фильтрации сигналов.
Для анализа лучше всего подходят периоды повышенной волатильности.
Настройки периода и множителя можно подстраивать под актив, с которым вы работаете. Для более волатильных инструментов лучше увеличить период.
Этот индикатор идеально подходит для анализа активности рынка, фильтрации шумов и подтверждения сигналов в стратегиях трендового или контртрендового характера.
Buyside & Sellside Liquidity and FOMO & PANİK]We Added Advanced Features to LuxAlgo’s Buy-Side and Sell-Side Liquidity Indicator
Buy-Side and Sell-Side Liquidity (Liquidity Hunt) indicators are an important tool for understanding market maker manipulations and analyzing price movements in high-volume areas. This indicator from LuxAlgo allows users to better evaluate the market’s liquidity flow. However, we have made some strategic improvements and additions to further enhance the functionality of this powerful tool.
---
Features We Added to the Indicator
1. Liquidity Threshold and Analysis by Time Frames
The user can analyze liquidity movements in different time frames by determining short, medium and long-term periods.
Thanks to the Liquidity Threshold (%) parameter, long (buy) and short (sell) levels are determined according to price change rates.
Volume threshold controls are applied for each period and only high volume movements are taken into account.
2. Detection of Long and Short Liquidity Zones
Buy-Side (Long) Liquidity Zones: Long entry levels below the price are determined and reaction signals are created when the price reaches this level.
Sell-Side (Short) Liquidity Zones: Short entry levels above the price are determined and the levels are visualized on the chart.
These zones are used to detect market maker manipulations in places where liquidity traps may occur.
3. Coloring of High Volume Candles
With volume analysis, high volume candles are marked with different colors to observe the dynamics of price movements more clearly.
For example, candles exceeding volume threshold levels are highlighted with distinct colors such as white, yellow or blue.
4. Analysis of Wick and Volume-Based Long/Short Traps
Long trap and short trap traps are detected based on the length ratios of candle shadows (wick), ATR (Average True Range) and volume change.
These traps are clearly marked on the chart and supported by market psychology signals such as FOMO (fear of missing out) and Panic to the user.
5. Proximity to Liquidity Zones and Alarm Systems
We have added an algorithm that measures how close the price is to the specified liquidity zones. In this way:
Price movements that are less than 2% away from the upper liquidity zone are analyzed.
The same methodology is used for proximity to the middle liquidity zone and lower liquidity zone.
The user is warned when a long trap or short trap occurs with the alarm system.
---
FOMO and Panic Algorithm
These updates include additional parameters to analyze investor psychology:
FOMO (Fear of Missing Out):
A FOMO signal is generated when the RSI level is high, the price is near the upper or middle liquidity zones, and sudden price/volume increases are seen.
This signal allows the investor to avoid making unconscious purchases.
Panic:
A panic signal is triggered when the RSI level is low, the price is near the lower or middle liquidity zones, and sudden decreases are seen.
This is designed to prevent investors from selling hastily.
---
Benefits of the Developments
1. Prevention of Manipulations:
Price movements are analyzed according to liquidity zones, aiming to protect investors against market maker manipulations.
2. Stronger Strategy with Reaction Levels:
Visualization of long and short liquidity zones provides more reliable signals in trading strategies.
3. Understanding Psychological Barriers:
The impact of investor behavior on the market is better analyzed with FOMO and Panic signals.
4. Advanced Filtering Based on Volume and Volatility:
Volume and volatility analysis minimizes false signals.
---
Conclusion
With these updates, LuxAlgo’s original Buy-Side & Sell-Side Liquidity indicator has been made a more powerful tool. Users can make more informed trades by identifying important levels that market makers may target. Combining multiple variables such as volume, liquidity, RSI and psychological barriers, this system provides a more robust analysis, especially in the cryptocurrency market.
Volume Delta Filtered Overlay v1.1 by RamtraderbookVolume Delta Filtered Overlay v1.1 by Ramtraderbook
This indicator visually displays the volume delta directly on the price chart using colored circles. Its main goal is to highlight significant changes in the volume delta, categorizing them by direction and magnitude.
How It Works
1. Volume Delta Calculation
- Measures the difference between buying and selling volume on a lower time frame.
2. Threshold Filter
- Only displays data if the delta exceeds a minimum threshold set by the user.
3. Colors by Direction
- Bullish color: If the delta is positive (more buying).
- Bearish color: If the delta is negative (more selling).
4. Circle Placement
- Circles are placed above the candle for a positive delta and below the candle for a negative delta.
Customizable Inputs
- Delta Threshold: Defines the minimum delta value that will be plotted.
- Customizable Colors: Allows you to set different colors for positive and negative delta circles.
- **Lower Time Frame**: Scans data on a lower time frame for greater accuracy.
Important Note on Data
TradingView does not handle market depth data such as order book information. The volume delta calculation is an approximation based on the asset’s volume and price behavior. This means it does not precisely reflect the actual flow of buy or sell orders in the market, but rather an estimate derived from available data.
Conclusion
The **Volume Delta Filtered Overlay v1.1 by Ramtraderbook** is a visual tool that helps quickly identify significant buy or sell volume movements, making it ideal for strategies that rely on order flow analysis. However, it is recommended to combine it with other tools for a more comprehensive analysis.
Volume Delta Filtered v1.1 by RamtraderbookIndicator Explanation: Volume Delta_RTB (Filtered)
General Description
The Volume Delta_RTB (Filtered) indicator is designed to analyze the volume delta of a financial asset and highlight only significant changes based on a configured threshold. This indicator is useful for detecting moments when buying volume exceeds selling volume (or vice versa), providing a clear view of market pressure.
What is Volume Delta?
Volume delta measures the difference between buying and selling volume over a given time period. A positive delta indicates that buying prevails over selling, while a negative delta indicates the opposite.
Indicator Inputs
The indicator has several customizable parameters to suit the user’s needs:
1. Volume Delta Threshold
- Allows you to set a minimum volume delta value.
- Only indicator values that exceed this absolute delta threshold will be displayed.
- Default value: 100,000.
2. Use of a Lower Time Frame
- Option to analyze data from a lower time frame than the main chart.
Operating Logic
1. Selection of the Lower Time Frame
- The indicator scans data from a lower time frame to accurately calculate the volume delta.
- By default, it automatically selects an appropriate lower time frame, though it can be set manually.
2. Calculation of Volume Delta
- Using the `ta.requestVolumeDelta` function, the indicator calculates:
- Volume delta at the start of the period (`openVolume`).
- Maximum delta (`maxVolume`).
- Minimum delta (`minVolume`).
- Last recorded delta (`lastVolume`).
3. Filtering Values
- If the absolute value of `lastVolume` (the last volume delta) is below the configured threshold (`deltaThreshold`), the data will not be displayed on the chart.
- This allows the indicator to highlight only significant movements, avoiding unnecessary noise.
4. Visualization
- Volume delta is represented by candles to facilitate interpretation:
- Yellow candles for positive delta (buying prevails).
- Pink candles for negative delta (selling prevails).
- A horizontal line at `0` serves as a reference.
- Colors can be configured as needed.
5. Data Validation
- If the data provider does not provide volume information for the asset, the indicator will display an error message.
Indicator Advantages
- Efficient Filtering: Focus on the most relevant movements in terms of volume, ignoring small or insignificant values.
- Adaptable: Offers customization options for both the delta threshold and the time frame.
- Clear Visualization: Colored candles make it easier to spot dominant buying or selling trends.
NOTE:
- Estimated Delta Data: Since TradingView does not have access to market depth data or an exact breakdown of buying and selling volume, the delta calculations are approximations based on price and volume behavior.
- Data Provider Dependency: Some assets or instruments may not have volume information available, limiting the indicator’s use.
FTD & DD AnalyzerFTD & DD Analyzer
A comprehensive tool for identifying Follow-Through Days (FTDs) and Distribution Days (DDs) to analyze market conditions and potential trend changes, based on William J. O'Neil's proven methodology.
About the Methodology
This indicator implements the market analysis techniques developed by William J. O'Neil, founder of Investor's Business Daily and author of "How to Make Money in Stocks." O'Neil's research, spanning market data back to the 1880s, has successfully identified major market turns throughout history. His FTD and DD concepts remain crucial tools for institutional investors and serious traders.
Overview
This indicator helps traders identify two critical market conditions:
Distribution Days (DDs) - days of institutional selling pressure
Follow-Through Days (FTDs) - confirmation of potential market bottoms and new uptrends
The combination of these signals provides valuable insight into market health and potential trend changes.
Key Features
Distribution Day detection with customizable criteria
Follow-Through Day identification based on classical methodology
Market bottom detection using EMA analysis
Dynamic warning system for accumulated Distribution Days
Visual alerts with customizable labels
Advanced debug mode for detailed analysis
Flexible display options for different trading styles
Distribution Days Analysis
What is a Distribution Day?
A Distribution Day occurs when:
The price closes lower by a specified percentage (default -0.2%)
Volume is higher than the previous day
DD Settings
Price Threshold: Minimum price decline to qualify (default -0.2%)
Lookback Period: Number of days to analyze for DD accumulation (default 25)
Warning Levels:
First warning at 4 DDs
Severe warning (SOS - Sign of Strength) at 6 DDs
Display Options:
Show/hide DD count
Show/hide DD labels
Choose between showing all DDs or only within lookback period
Follow-Through Day Detection
What is a Follow-Through Day?
Following O'Neil's research, a Follow-Through Day confirms a potential market bottom when:
Occurs between day 4 and 13 after a bottom formation (optimal: days 4-7)
Shows significant price gain (default 1.5%)
Accompanied by higher volume than the previous day
Key Statistics:
FTDs followed by distribution on days 1-2 fail 95% of the time
Distribution on day 3 leads to 70% failure rate
Later distribution (days 4-5) shows only 30% failure rate
FTD Settings
Minimum Price Gain: Required percentage gain (default 1.5%)
Valid Window: Day 4 to Day 13 after bottom
Quality Rating:
🚀 for FTDs occurring within 7 days (historically most reliable)
⭐ for later FTDs
Market Bottom Detection
The indicator uses a sophisticated approach to identify potential market bottoms:
EMA Analysis:
Tracks 8 and 21-period EMAs
Monitors EMA alignment and momentum
Customizable tolerance levels
Price Action:
Looks for lower lows within specified lookback period
Confirms bottom with subsequent price action
Reset mechanism to prevent false signals
Visual Indicators
Label Types
📉 Distribution Days
⬇️ Market Bottoms
🚀/⭐ Follow-Through Days
⚠️ DD Warning Levels
Customization Options
Label size: Tiny, Small, Normal, Large
Label style: Default, Arrows, Triangles
Background colors for different signals
Dynamic positioning using ATR multiplier
Practical Usage
1. Monitor DD Accumulation:
Watch for increasing number of Distribution Days
Pay attention to warning levels (4 and 6 DDs)
Consider reducing exposure when warnings appear
2. Bottom Recognition:
Look for potential bottom formations
Monitor EMA alignment and price action
Wait for confirmation signals
3. FTD Confirmation:
Track days after potential bottom
Watch for strong price/volume action in valid window
Note FTD quality rating for additional context
Alert System
Built-in alerts for:
New Distribution Days
Follow-Through Day signals
High DD accumulation warnings
Tips for Best Results
Use multiple timeframes for confirmation
Combine with other market health indicators
Pay attention to sector rotation and market leadership
Monitor volume patterns for confirmation
Consider market context and external factors
Technical Notes
The indicator uses advanced array handling for DD tracking
Dynamic calculations ensure accurate signal generation
Debug mode available for detailed analysis
Optimized for real-time and historical analysis
Additional Information
Compatible with all markets and timeframes
Best suited for daily charts
Regular updates and maintenance
Based on O'Neil's time-tested market analysis principles
Conclusion
The FTD & DD Analyzer provides a systematic approach to market analysis, combining O'Neil's proven methodologies with modern technical analysis. It helps traders identify potential market turns while monitoring institutional participation through volume analysis.
Remember that no indicator is perfect - always use in conjunction with other analysis tools and proper risk management.
VPSA-VTDDear Sir/Madam,
I am pleased to present the next iteration of my indicator concept, which, in my opinion, serves as a highly useful tool for analyzing markets using the Volume Spread Analysis (VSA) method or the Wyckoff methodology.
The VPSA (Volume-Price Spread Analysis), the latest version in the family of scripts I’ve developed, appears to perform its task effectively. The combination of visualizing normalized data alongside their significance, achieved through the application of Z-Score standardization, proved to be a sound solution. Therefore, I decided to take it a step further and expand my project with a complementary approach to the existing one.
Theory
At the outset, I want to acknowledge that I’m aware of the existence of other probabilistic models used in financial markets, which may describe these phenomena more accurately. However, in line with Occam's Razor, I aimed to maintain simplicity in the analysis and interpretation of the concepts below. For this reason, I focused on describing the data using the Gaussian distribution.
The data I read from the chart — primarily the closing price, the high-low price difference (spread), and volume — exhibit cyclical patterns. These cycles are described by Wyckoff's methodology, while VSA complements and presents them from a different perspective. I will refrain from explaining these methods in depth due to their complexity and broad scope. What matters is that within these cycles, various events occur, described by candles or bars in distinct ways, characterized by different spreads and volumes. When observing the chart, I notice periods of lower volatility, often accompanied by lower volumes, as well as periods of high volatility and significant volumes. It’s important to find harmony within this apparent chaos. I think that chart interpretation cannot happen without considering the broader context, but the more variables I include in the analytical process, the more challenges arise. For instance, how can I determine if something is large (wide) or small (narrow)? For elements like volume or spread, my script provides a partial answer to this question. Now, let’s get to the point.
Technical Overview
The first technique I applied is Min-Max Normalization. With its help, the script adjusts volume and spread values to a range between 0 and 1. This allows for a comparable bar chart, where a wide bar represents volume, and a narrow one represents spread. Without normalization, visually comparing values that differ by several orders of magnitude would be inconvenient. If the indicator shows that one bar has a unit spread value while another has half that value, it means the first bar is twice as large. The ratio is preserved.
The second technique I used is Z-Score Standardization. This concept is based on the normal distribution, characterized by variables such as the mean and standard deviation, which measures data dispersion around the mean. The Z-Score indicates how many standard deviations a given value deviates from the population mean. The higher the Z-Score, the more the examined object deviates from the mean. If an object has a Z-Score of 3, it falls within 0.1% of the population, making it a rare occurrence or even an anomaly. In the context of chart analysis, such strong deviations are events like climaxes, which often signal the end of a trend, though not always. In my script, I assigned specific colors to frequently occurring Z-Score values:
Below 1 – Blue
Above 1 – Green
Above 2 – Red
Above 3 – Fuchsia
These colors are applied to both spread and volume, allowing for quick visual interpretation of data.
Volume Trend Detector (VTD)
The above forms the foundation of VPSA. However, I have extended the script with a Volume Trend Detector (VTD). The idea is that when I consider market structure - by market structure, I mean the overall chart, support and resistance levels, candles, and patterns typical of spread and volume analysis as well as Wyckoff patterns - I look for price ranges where there is a lack of supply, demand, or clues left behind by Smart Money or the market's enigmatic identity known as the Composite Man. This is essential because, as these clues and behaviors of market participants — expressed through the chart’s dynamics - reflect the actions, decisions, and emotions of all players. These behaviors can help interpret the bull-bear battle and estimate the probability of their next moves, which is one of the key factors for a trader relying on technical analysis to make a trade decision.
I enhanced the script with a Volume Trend Detector, which operates in two modes:
Step-by-Step Logic
The detector identifies expected volume dynamics. For instance, when looking for signs of a lack of bullish interest, I focus on setups with decreasing volatility and volume, particularly for bullish candles. These setups are referred to as No Demand patterns, according to Tom Williams' methodology.
Simple Moving Average (SMA)
The detector can also operate based on a simple moving average, helping to identify systematic trends in declining volume, indicating potential imbalances in market forces.
I’ve designed the program to allow the selection of candle types and volume characteristics to which the script will pay particular attention and notify me of specific market conditions.
Advantages and Disadvantages
Advantages:
Unified visualization of normalized spread and volume, saving time and improving efficiency.
The use of Z-Score as a consistent and repeatable relative mechanism for marking examined values.
The use of colors in visualization as a reference to Z-Score values.
The possibility to set up a continuous alert system that monitors the market in real time.
The use of EMA (Exponential Moving Average) as a moving average for Z-Score.
The goal of these features is to save my time, which is the only truly invaluable resource.
Disadvantages:
The assumption that the data follows a normal distribution, which may lead to inaccurate interpretations.
A fixed analysis period, which may not be perfectly suited to changing market conditions.
The use of EMA as a moving average for Z-Score, listed both as an advantage and a disadvantage depending on market context.
I have included comments within the code to explain the logic behind each part. For those who seek detailed mathematical formulas, I invite you to explore the code itself.
Defining Program Parameters:
Numerical Conditions:
VPSA Period for Analysis – The number of candles analyzed.
Normalized Spread Alert Threshold – The expected normalized spread value; defines how large or small the spread should be, with a range of 0-1.00.
Normalized Volume Alert Threshold – The expected normalized volume value; defines how large or small the volume should be, with a range of 0-1.00.
Spread Z-SCORE Alert Threshold – The Z-SCORE value for the spread; determines how much the spread deviates from the average, with a range of 0-4 (a higher value can be entered, but from a logical standpoint, exceeding 4 is unnecessary).
Volume Z-SCORE Alert Threshold – The Z-SCORE value for volume; determines how much the volume deviates from the average, with a range of 0-4 (the same logical note as above applies).
Logical Conditions:
Logical conditions describe whether the expected value should be less than or equal to or greater than or equal to the numerical condition.
All four parameters accept two possibilities and are analogous to the numerical conditions.
Volume Trend Detector:
Volume Trend Detector Period for Analysis – The analysis period, indicating the number of candles examined.
Method of Trend Determination – The method used to determine the trend. Possible values: Step by Step or SMA.
Trend Direction – The expected trend direction. Possible values: Upward or Downward.
Candle Type – The type of candle taken into account. Possible values: Bullish, Bearish, or Any.
The last available setting is the option to enable a joint alert for VPSA and VTD.
When enabled, VPSA will trigger on the last closed candle, regardless of the VTD analysis period.
Example Use Cases (Labels Visible in the Script Window Indicate Triggered Alerts):
The provided labels in the chart window mark where specific conditions were met and alerts were triggered.
Summary and Reflections
The program I present is a strong tool in the ongoing "game" with the Composite Man.
However, it requires familiarity and understanding of the underlying methodologies to fully utilize its potential.
Of course, like any technical analysis tool, it is not without flaws. There is no indicator that serves as a perfect Grail, accurately signaling Buy or Sell in every case.
I would like to thank those who have read through my thoughts to the end and are willing to take a closer look at my work by using this script.
If you encounter any errors or have suggestions for improvement, please feel free to contact me.
I wish you good health and accurately interpreted market structures, leading to successful trades!
CatTheTrader
Binance Perp Premium/DiscountThis TradingView Pine Script indicator calculates and displays the premium or discount percentage between a cryptocurrency's spot price and its corresponding perpetual futures (perp) price on Binance. It automatically detects whether the current chart symbol represents a spot or perp market by checking for the ".P" suffix. The script then retrieves the closing prices for both the spot and perp symbols using the request.security function. If valid data is available for both markets, it computes the premium or discount as a percentage and visualizes this difference as a histogram below the main chart. Green bars indicate a premium (perp price above spot), while red bars signify a discount (perp price below spot). The indicator includes error handling to display 'n/a' when data for the required symbols is unavailable, ensuring robustness across various chart applications.
Daily Volume Tracker with Percentage ComparisonThis script displays key daily volume metrics directly on your chart, helping traders analyze trading activity with ease. By default, it shows the Daily Volume, but additional metrics such as Yesterday's Volume, Average Volume, and Daily Volume % can be enabled as needed through input options.
Key Features:
Daily Volume: Displays the total volume traded so far for the current day.
Yesterday's Volume: Shows the total volume traded in the previous day (optional).
Average Volume: Displays the average daily volume over a customizable period (optional).
Daily Volume %: Calculates and displays the percentage of the current day's volume compared to the average daily volume (optional).
Customizable Display: Enable or disable metrics based on your preference.
Intraday Option: Choose to hide the table on timeframes ≥ 1D for a cleaner chart.
How to Use:
Add the script to your chart.
By default, only the Daily Volume % is shown.
Use the input options to enable additional metrics or customize the average calculation period.
This script is perfect for intraday and swing traders looking to gauge market participation and compare current volume trends against historical averages.
Volume 2x Average This script helps traders identify stocks or instruments experiencing unusually high trading volume compared to their average volume over a user-defined period. The key features include:
1. Volume 2x Average Filter:
Highlights bars where the current volume is greater than twice the average volume for the selected period.
2. Dynamic Average Period:
Allows users to specify the period for calculating the average volume (e.g., 1 day, 5 days, etc.).
3. Color-Coded Bars:
• Green Bars: Indicate bullish candlesticks where the closing price is higher than the
opening price.
• Red Bars: Indicate bearish candlesticks where the closing price is lower than the
opening price.
4. Optional Bar Visibility:
Users can toggle the visibility of the highlighted volume bars, providing flexibility for clean chart analysis.
5. Average Volume Line:
Plots the average volume as a blue line for reference.
Use Case:
This script is ideal for traders looking to identify potential breakouts, reversals, or key market movements driven by significant volume spikes. By dynamically adjusting the average period and toggling bar visibility, users can tailor the script to fit various trading strategies and timeframes.
Inputs:
1. Show 2x Volume Bars:
• Toggle to enable or disable the display of the highlighted volume bars.
2. Average Volume Period:
• Specify the number of periods (e.g., 1 for 1 day, 5 for 5 days) to calculate the average
volume.
Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Use it alongside your analysis and trading strategy.
BullBear with Volume-Percentile TP - Strategy [presentTrading] Happy New Year, everyone! I hope we have a fantastic year ahead.
It's been a while since I published an open script, but it's time to return.
This strategy introduces an indicator called Bull Bear Power, combined with an advanced take-profit system, which is the main innovative and educational aspect of this script. I hope all of you find some useful insights here. Welcome to engage in meaningful exchanges. This is a versatile tool suitable for both novice and experienced traders.
█ Introduction and How it is Different
Unlike traditional strategies that rely solely on price or volume indicators, this approach combines Bull Bear Power (BBP) with volume percentile analysis to identify optimal entry and exit points. It features a dynamic take-profit mechanism based on ATR (Average True Range) multipliers adjusted by volume and percentile factors, ensuring adaptability to diverse market conditions. This multifaceted strategy not only improves signal accuracy but also optimizes risk management, distinguishing it from conventional trading methods.
BTCUSD 6hr performance
Disable the visualization of Bull Bear Power (BBP) to clearly view the Z-Score.
█ Strategy, How it Works: Detailed Explanation
The BBP Strategy with Volume-Percentile TP utilizes several interconnected components to analyze market data and generate trading signals. Here's an overview with essential equations:
🔶 Core Indicators and Calculations
1. Exponential Moving Average (EMA):
- **Purpose:** Smoothens price data to identify trends.
- **Formula:**
EMA_t = (Close_t * (2 / (lengthInput + 1))) + (EMA_(t-1) * (1 - (2 / (lengthInput + 1))))
- Usage: Baseline for Bull and Bear Power.
2. Bull and Bear Power:
- Bull Power: `BullPower = High_t - EMA_t`
- Bear Power: `BearPower = Low_t - EMA_t`
- BBP:** `BBP = BullPower + BearPower`
- Interpretation: Positive BBP indicates bullish strength, negative indicates bearish.
3. Z-Score Calculation:
- Purpose: Normalizes BBP to assess deviation from the mean.
- Formula:
Z-Score = (BBP_t - bbp_mean) / bbp_std
- Components:
- `bbp_mean` = SMA of BBP over `zLength` periods.
- `bbp_std` = Standard deviation of BBP over `zLength` periods.
- Usage: Identifies overbought or oversold conditions based on thresholds.
🔶 Volume Analysis
1. Volume Moving Average (`vol_sma`):
vol_sma = (Volume_1 + Volume_2 + ... + Volume_vol_period) / vol_period
2. Volume Multiplier (`vol_mult`):
vol_mult = Current Volume / vol_sma
- Thresholds:
- High Volume: `vol_mult > 2.0`
- Medium Volume: `1.5 < vol_mult ≤ 2.0`
- Low Volume: `1.0 < vol_mult ≤ 1.5`
🔶 Percentile Analysis
1. Percentile Calculation (`calcPercentile`):
Percentile = (Number of values ≤ Current Value / perc_period) * 100
2. Thresholds:
- High Percentile: >90%
- Medium Percentile: >80%
- Low Percentile: >70%
🔶 Dynamic Take-Profit Mechanism
1. ATR-Based Targets:
TP1 Price = Entry Price ± (ATR * atrMult1 * TP_Factor)
TP2 Price = Entry Price ± (ATR * atrMult2 * TP_Factor)
TP3 Price = Entry Price ± (ATR * atrMult3 * TP_Factor)
- ATR Calculation:
ATR_t = (True Range_1 + True Range_2 + ... + True Range_baseAtrLength) / baseAtrLength
2. Adjustment Factors:
TP_Factor = (vol_score + price_score) / 2
- **vol_score** and **price_score** are based on current volume and price percentiles.
Local performance
🔶 Entry and Exit Logic
1. Long Entry: If Z-Score crosses above 1.618, then Enter Long.
2. Short Entry: If Z-Score crosses below -1.618, then Enter Short.
3. Exiting Positions:
If Long and Z-Score crosses below 0:
Exit Long
If Short and Z-Score crosses above 0:
Exit Short
4. Take-Profit Execution:
- Set multiple exit orders at dynamically calculated TP levels based on ATR and adjusted by `TP_Factor`.
█ Trade Direction
The strategy determines trade direction using the Z-Score from the BBP indicator:
- Long Positions:
- Condition: Z-Score crosses above 1.618.
- Short Positions:
- Condition: Z-Score crosses below -1.618.
- Exiting Trades:
- Long Exit: Z-Score drops below 0.
- Short Exit: Z-Score rises above 0.
This approach aligns trades with prevailing market trends, increasing the likelihood of successful outcomes.
█ Usage
Implementing the BBP Strategy with Volume-Percentile TP in TradingView involves:
1. Adding the Strategy:
- Copy the Pine Script code.
- Paste it into TradingView's Pine Editor.
- Save and apply the strategy to your chart.
2. Configuring Settings:
- Adjust parameters like EMA length, Z-Score thresholds, ATR multipliers, volume periods, and percentile settings to match your trading preferences and asset behavior.
3. Backtesting:
- Use TradingView’s backtesting tools to evaluate historical performance.
- Analyze metrics such as profit factor, drawdown, and win rate.
4. Optimization:
- Fine-tune parameters based on backtesting results.
- Test across different assets and timeframes to enhance adaptability.
5. Deployment:
- Apply the strategy in a live trading environment.
- Continuously monitor and adjust settings as market conditions change.
█ Default Settings
The BBP Strategy with Volume-Percentile TP includes default parameters designed for balanced performance across various markets. Understanding these settings and their impact is essential for optimizing strategy performance:
Bull Bear Power Settings:
- EMA Length (`lengthInput`): 21
- **Effect:** Balances sensitivity and trend identification; shorter lengths respond quicker but may generate false signals.
- Z-Score Length (`zLength`): 252
- **Effect:** Long period for stable mean and standard deviation, reducing false signals but less responsive to recent changes.
- Z-Score Threshold (`zThreshold`): 1.618
- **Effect:** Higher threshold filters out weaker signals, focusing on significant market moves.
Take Profit Settings:
- Use Take Profit (`useTP`): Enabled (`true`)
- **Effect:** Activates dynamic profit-taking, enhancing profitability and risk management.
- ATR Period (`baseAtrLength`): 20
- **Effect:** Shorter period for sensitive volatility measurement, allowing tighter profit targets.
- ATR Multipliers:
- **Effect:** Define conservative to aggressive profit targets based on volatility.
- Position Sizes:
- **Effect:** Diversifies profit-taking across multiple levels, balancing risk and reward.
Volume Analysis Settings:
- Volume MA Period (`vol_period`): 100
- **Effect:** Longer period for stable volume average, reducing the impact of short-term spikes.
- Volume Multipliers:
- **Effect:** Determines volume conditions affecting take-profit adjustments.
- Volume Factors:
- **Effect:** Adjusts ATR multipliers based on volume strength.
Percentile Analysis Settings:
- Percentile Period (`perc_period`): 100
- **Effect:** Balances historical context with responsiveness to recent data.
- Percentile Thresholds:
- **Effect:** Defines price and volume percentile levels influencing take-profit adjustments.
- Percentile Factors:
- **Effect:** Modulates ATR multipliers based on price percentile strength.
Impact on Performance:
- EMA Length: Shorter EMAs increase sensitivity but may cause more false signals; longer EMAs provide stability but react slower to market changes.
- Z-Score Parameters:*Longer Z-Score periods create more stable signals, while higher thresholds reduce trade frequency but increase signal reliability.
- ATR Multipliers and Position Sizes: Higher multipliers allow for larger profit targets with increased risk, while diversified position sizes help in securing profits at multiple levels.
- Volume and Percentile Settings: These adjustments ensure that take-profit targets adapt to current market conditions, enhancing flexibility and performance across different volatility environments.
- Commission and Slippage: Accurate settings prevent overestimation of profitability and ensure the strategy remains viable after accounting for trading costs.
Conclusion
The BBP Strategy with Volume-Percentile TP offers a robust framework by combining BBP indicators with volume and percentile analyses. Its dynamic take-profit mechanism, tailored through ATR adjustments, ensures that traders can effectively capture profits while managing risks in varying market conditions.
Trend Heuristics (+Signals)Trend Heuristics - Enhanced Rolling VWAP with Smart Signals
This indicator is an enhanced version of the Rolling VWAP (RVWAP) concept, originally based on PineCoders' ConditionalAverages library. It combines volume-weighted average price analysis with advanced signal detection for both sweeps and breakouts.
Core Features
1. Rolling VWAP System
- Implements a dynamic rolling VWAP that adapts to different timeframes
- Includes standard deviation bands for volatility measurement
- Offers flexible time period settings (fixed or auto-adjusting)
- Provides customizable visual elements including bands and fills
2. Dual Signal System
Sweep Signals
Detects high-probability reversal points with these conditions:
- Bullish Sweep:
- Opens above upper band
- Tests below upper band (low)
- Closes above upper band
- Shows stronger lower wick
- Closes above previous high
- Has favorable close position (upper 50% of candle)
- Bearish Sweep:
- Opens below lower band
- Tests above lower band (high)
- Closes below lower band
- Shows stronger upper wick
- Closes below previous low
- Has favorable close position (lower 50% of candle)
Breakout Signals
Identifies potential trend changes with these conditions:
- Bullish Breakout:
- Opens below VWAP
- Closes above upper band
- Indicates strong momentum shift upward
- Bearish Breakout:
- Opens above VWAP
- Closes below lower band
- Indicates strong momentum shift downward
Technical Details
Base Components
- Built upon PineCoders' ConditionalAverages library
- Incorporates custom alert system via CustomAlertLib
- Uses standard deviation for band calculations
Customization Options
- Adjustable standard deviation multiplier
- Flexible time period settings
- Independent controls for sweep and breakout signals
- Customizable visual elements (colors, sizes, positions)
- Custom alert message formatting
Use Cases
1. Trend Following:
- Use VWAP as dynamic support/resistance
- Monitor breakout signals for trend changes
2. Mean Reversion:
- Use sweep signals for counter-trend opportunities
- Standard deviation bands for range identification
3. Volume Analysis:
- VWAP provides volume-weighted price levels
- Helps identify significant price levels
Notes
- Best performed on liquid instruments with consistent volume
- Most effective on timeframes from 1hours to 4 hours and 1D, anything greater isn't very good
- Recommended to use in conjunction with other technical analysis tools
- Signals can be filtered based on higher timeframe trends
Credits
- Original Rolling VWAP concept by PineCoders
Distribution & Follow-Through Day MarkerMarks D or F on candles based on IBD rule.
Distribution day: The loss must be at least -0.2%; the volume is higher than prior trading day.
Follow through day: The gain must be at least 1.2%; the volume is higher than prior trading day.
Dashed DMI by Cryptos RocketThe Directional Movement Index (DMI) is a well-known indicator in technical analysis, created by J. Welles Wilder. It is designed to identify the strength of a trend in a given market, providing traders with insights into both the direction and momentum of price movements. This script is a custom implementation of the DMI that plots the ADX (Average Directional Index), +DI (Positive Directional Indicator), and -DI (Negative Directional Indicator).
Dashed DMI Key Features:
1. Directional Movement Indicators:
- The ADX line, shown in orange, helps determine the strength of the trend without indicating its direction. Values above 25 suggest a strong trend, while values below 20 indicate a weak trend.
- The +DI line, shown in green, measures the strength of upward movement in the price. It identifies if the market is experiencing a strong uptrend.
- The -DI line, shown in red, measures the strength of downward price movement. It signals when there is a strong downtrend.
2. Customizable Dashed Line:
- The script includes a customizable dashed line, which represents a critical level on the chart that traders can use as a reference. The dashed line is adjustable through the script’s settings, allowing the trader to set a desired level, color, style, and thickness. The default level is set to 30, a common threshold in trend-following systems, but users can change it according to their preferences.
- The dashed line’s transparency and visibility can be toggled using the input settings, making it adaptable to different trading strategies or visual preferences.
3. Alerts:
- The script provides customizable alert conditions based on the relationship between the ADX, +DI, and -DI lines with the dashed line. These alerts include:
- When ADX crosses above or below the dashed line, signaling a shift in trend strength.
- When +DI or -DI cross the dashed line, indicating a change in the trend's directionality (bullish or bearish).
- Alerts for crossovers (when one line crosses another) and crossunders (when one line falls below another), which provide key entry or exit signals for traders.
4. Customizable Visual Parameters:
- The script is designed with flexibility in mind. The user can modify the line styles, thickness, and colors. The ADX is plotted in orange with a thickness of 2, the +DI is plotted in green, and the -DI is plotted in red. These lines’ thicknesses can be customized, ensuring that they remain visible regardless of the timeframe or chart zoom level.
- The script also provides options to adjust the dashed line’s color and style (solid, dotted, or dashed), enabling a fully customized charting experience that suits individual preferences.
Understanding the Components of the DMI
1. ADX (Average Directional Index):
The ADX is a smoothed version of the difference between the +DI and -DI lines, used to measure the strength of a trend. It does not provide any directional indication but simply quantifies whether the trend is strong or weak.
- Strength Indicators: A rising ADX indicates a strengthening trend, while a falling ADX signals weakening trend strength. Traders often consider an ADX reading above 25 as an indication of a strong trend, either up or down, and readings below 20 as suggesting a lack of trend or a sideways market.
- The ADX is plotted in the script using an orange color, making it easy for traders to distinguish it from the directional lines.
2. +DI (Positive Directional Indicator):
The +DI line measures the strength of upward price movement. It rises when the market’s upward movement is stronger than its downward movement.
- A rising +DI is a signal that the market is moving in a bullish direction. When +DI crosses above the -DI, it can indicate the start of an uptrend.
- The +DI is plotted in green, representing bullish momentum.
3. -DI (Negative Directional Indicator):
The -DI line tracks the strength of downward price movement. It rises when the market’s downward movement is stronger than its upward movement.
- A rising -DI suggests bearish momentum, and when the -DI crosses above the +DI, it can signal the beginning of a downtrend.
- The -DI is plotted in red, symbolizing bearish momentum.
Customizable Inputs and Settings
This DMI script allows traders to adjust several parameters based on their preferences:
- ADX Smoothing (lensig): This setting controls the smoothing of the ADX line, with values ranging from 1 to 50. A larger smoothing value can help reduce noise in the ADX and make trends clearer, while a smaller value reacts more quickly to price changes.
- DI Length (len): This input controls the period used for calculating the +DI and -DI lines. A shorter period results in a more sensitive indicator, whereas a longer period produces smoother, more stable signals.
- Dashed Line Settings: Traders can choose to show or hide the dashed line and can adjust its level, color, thickness, and style. This customization allows traders to adapt the indicator to their specific strategies and charting preferences.
Alerts and Signals
With the alert conditions set up in the script, traders can receive notifications when critical events occur, such as:
- ADX Crossing Above/Below the Dashed Line: This is typically a signal of an emerging trend.
- +DI and -DI Crossovers and Crossunders: These are valuable signals for identifying potential entry and exit points in trending markets.
Conclusion
This custom DMI Pine Script provides traders with a powerful tool to analyze market trends in real-time. By visualizing the ADX, +DI, and -DI indicators with customizable inputs, this script enables traders to gauge the strength and direction of a trend and make informed decisions about their trading strategies. The ability to set alerts based on specific conditions adds another layer of automation, ensuring that traders never miss an important signal. The script’s flexibility allows it to be adapted for various trading styles and market conditions, making it an invaluable addition to any trader’s toolkit.
Volume Standard Deviation Alert GusPurpose
The script detects and alerts traders when the volume of a trading asset significantly exceeds a calculated threshold based on the standard deviation of volume over a specified lookback period. It optionally filters these alerts based on whether the price action is bullish or bearish.
Key Components
Inputs
lookback (default: 20)
The number of bars to consider when calculating the moving average and standard deviation of volume.
stdDevFactor (default: 2.0)
The multiplier for the standard deviation to determine the threshold for a volume spike.
alertOnClose (default: true)
Determines whether alerts should only be triggered after the bar has closed.
checkBullBear (default: false)
Enables filtering of alerts based on the bullishness or bearishness of the bar.
Calculations
volSMA
The simple moving average (SMA) of the volume over the lookback period.
volStd
The standard deviation of the volume over the lookback period.
threshold
The alert threshold is calculated as:
Threshold
=
volSMA
+
(
stdDevFactor
×
volStd
)
Threshold=volSMA+(stdDevFactor×volStd)
isBullish & isBearish
Determines whether the current bar is bullish (close > open) or bearish (close < open).
volumeSpikeCondition
A condition that triggers when the current volume exceeds the calculated threshold.
bullishCondition & bearishCondition
Refines the spike condition by requiring the bar to be bullish or bearish when checkBullBear is enabled.
finalCondition
The ultimate alert condition based on the user’s preference for bullish/bearish filtering.
finalTrigger
Ensures the alert only triggers at bar close if alertOnClose is set to true.
Visualization
Plots the SMA of the volume (volSMA) and the threshold line (threshold), helping traders visually understand the conditions.
Histograms the current volume and colors the bars:
Red: Volume exceeds the threshold.
Blue: Volume is below the threshold.
Alerts
The script generates an alert message when the finalTrigger condition is met:
"Bullish Volume Spike!" if the bar is bullish.
"Bearish Volume Spike!" if the bar is bearish.
"High Volume Spike!" if no bull/bear filter is applied.
Alerts are sent using alert() with the message and set to trigger once per bar close.
Usage
Traders can use this script to identify unusual volume activity, which often precedes significant price movements.
Customizability allows traders to tune the lookback period, standard deviation multiplier, and whether to filter for bullish/bearish spikes.
Visual and audible cues help in identifying important market events in real time.
This indicator is particularly useful for spotting market breakouts or breakdowns driven by high trading activity.
Previous Candle Sweep IndicatorThis script identifies candlesticks where the current candle's high is higher than the previous candle's high, and the current candle's low is lower than the previous candle's low. If both conditions are met, the candle's body is highlighted in blue on the chart, allowing traders to quickly spot these patterns.
Features:
Highlights candles with both higher highs and lower lows.
Uses clear visual cues (blue body) for easy identification.
Ideal for traders looking to identify specific volatility patterns or reversals.
Multi-Timeframe VWAP Strategy [JARUTIR]Multi-Timeframe VWAP with Price Above VWAP Marker
This indicator allows you to view the Volume-Weighted Average Price (VWAP) across multiple timeframes on a single chart. The VWAP is a popular technical analysis tool used by traders to determine the average price of an asset weighted by volume. It helps identify the overall market trend and is especially useful for intraday trading.
Key Features :
Multiple Timeframes: Choose from 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 1-day VWAPs. You can enable or disable the VWAP for any timeframe based on your preference.
Customizable: Easily toggle on/off the VWAP for each timeframe via checkboxes in the settings.
Price Above VWAP Marker: A clear green up arrow is displayed above the price bar whenever the price is above the current VWAP, helping you quickly spot potential bullish signals.
Flexible & Easy to Use: Adjust the settings for any timeframe and see the VWAPs on your chart without clutter. Whether you are trading in the short term or analyzing longer-term trends, this tool provides you with the flexibility you need.
How to Use :
VWAP as Trend Indicator: The VWAP is commonly used to identify whether the price is trending above or below the average price for the session. Price above the VWAP generally signals bullish momentum, while price below the VWAP can indicate bearish pressure.
Price Above VWAP Marker: The green up arrow is your signal for when the price is above the VWAP, which can be used as a potential entry point for long trades.
Customize Timeframes: Whether you're focusing on ultra-short-term movements (like 1-min or 5-min) or need a broader view (like 1-hour or 1-day), this indicator lets you tailor the analysis to your preferred time horizon.
Ideal For :
Intraday Traders looking for quick signals on different timeframes.
Swing Traders who want to track the overall market trend with multiple VWAP levels.
Scalpers needing to monitor fast price movements alongside volume-weighted averages
High Volume Levels with 9 EMAThe script looks back 30 candles and determine highest volume candle in last 30 candles.
High and Low of these candles acts as support and resistance.
Typically price is rising above 9 ema and breaks out of high of the volume candle is bullish.
Similarly, if price is below 9ema and breaking the low of volume candle its bearish.
MSTR Bitcoin Holdings Overlay (MSTR BTC Treasury)This TradingView overlay displays MicroStrategy's (MSTR) Bitcoin holdings as a simple line chart on a separate axis. The data used in this script is based on publicly available information about MSTR's Bitcoin acquisitions up to January 2, 2025.
Key Points:
- All data points (timestamps and Bitcoin holdings) included in this script represent actual historical records available up to January 2, 2025.
- No future projections or speculative estimates are included.
This script is static and does not fetch or update data dynamically. If there are new Bitcoin acquisitions or updates after January 2, 2025, they will not appear on the chart unless manually added.
Transparency and Accuracy:
- The script uses an array-based structure to map exact timestamps to corresponding Bitcoin holdings.
Each timestamp aligns with known dates when MSTR disclosed its Bitcoin purchases.
