90-Day Beta to BTCOverview:
The 90-Day Beta to BTC indicator measures the volatility of a specific token relative to Bitcoin (BTC) over the past 90 days. Beta is a widely used statistical measure in financial markets that indicates how much a token's price moves in relation to BTC. A higher beta means the token is more volatile compared to BTC, while a lower beta means it is less volatile or moves similarly to BTC.
How It Works:
This indicator calculates the daily logarithmic returns of both the token and Bitcoin, then computes the covariance between their returns and the variance of Bitcoin’s returns. The resulting Beta value reflects the degree to which the token’s price fluctuates relative to Bitcoin's price over the past 90 days.
Beta > 1: The token is more volatile than Bitcoin, showing higher price swings.
Beta = 1: The token moves in lockstep with Bitcoin, exhibiting similar volatility.
Beta < 1: The token is less volatile than Bitcoin, showing smaller price fluctuations.
Beta = 0: The token's price movement is uncorrelated with Bitcoin’s price.
Negative Beta: The token moves opposite to Bitcoin, indicating an inverse relationship.
Use Case:
This indicator is particularly useful for traders or investors looking to identify tokens with high speculative volatility. Tokens with Beta values above 1 are typically high-risk, high-reward assets, often driven by hype, social trends, or market speculation. Conversely, tokens with Beta values below 1 offer a more stable price relationship with Bitcoin, making them less volatile and potentially safer.
In the context of a Trash Token Tournament, tokens with a higher Beta (greater than 1) may be more attractive due to their heightened volatility and potential for larger price swings, making them the “wild cards” of the market.
Visual Representation:
The Beta value is plotted as a line chart beneath the main price chart, offering a visual representation of the token’s volatility relative to Bitcoin over the last 90 days. Spikes in Beta indicate periods of increased volatility, while drops suggest stability.
Tìm kiếm tập lệnh với "电脑桌面显示BTC"
PPN - Token compare to USDT/BTCThis simple indicator allows you to easily view the price of a selected cryptocurrency token in either USDT or BTC on TradingView charts. By adding this indicator to your chart, you can quickly compare the price of the token to either USDT (Tether) or BTC (Bitcoin).
**Features:**
- Choose between displaying the token price in USDT or BTC.
- Automatically detects the current trading pair and adjusts the display accordingly.
- Uses data from the BINANCE exchange to fetch real-time prices.
**How to Use:**
1. Add the indicator to your TradingView chart.
2. Select the desired ticker ending (USDT or BTC) in the indicator settings.
3. Pin the indicator to a new scale (More -> Pin to Scale -> New scale or no scale (fullscreen).
**Note:** This indicator is intended for informational purposes only and should not be used as the sole basis for making trading decisions. Always conduct your own research and consult with a financial advisor before making any investment decisions.
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Feel free to use and modify! <3
Message me on TradingView if you have any suggestions!
MBAND 200 4H BTC/USDT - By MGS-TradingMBAND 200 4H BTC/USDT with RSI and Volume by MGS-Trading: A Neural Network-Inspired Indicator
Introduction:
The MBAND 200 4H BTC/USDT with RSI and Volume represents a groundbreaking achievement in the integration of artificial intelligence (AI) into cryptocurrency market analysis. Developed by MGS-Trading, this indicator is the culmination of extensive research and development efforts aimed at leveraging AI's power to enhance trading strategies. By synthesizing neural network concepts with traditional technical analysis, the MBAND indicator offers a dynamic, multi-dimensional view of the market, providing traders with unparalleled insights and actionable signals.
Innovative Approach:
Our journey to create the MBAND indicator began with a simple question: How can we mimic the decision-making prowess of a neural network in a trading indicator? The answer lay in the weighted aggregation of Exponential Moving Averages (EMAs) from multiple timeframes, each serving as a unique input akin to a neuron in a neural network. These weights are not arbitrary; they were painstakingly optimized through backtesting across various market conditions to ensure they reflect the significance of each timeframe’s contribution to overall market dynamics.
Core Features:
Neural Network-Inspired Weights: The heart of the MBAND indicator lies in its AI-inspired weighting system, which treats each timeframe’s EMA as an input node in a neural network. This allows the indicator to process complex market data in a nuanced and sophisticated manner, leading to more refined and informed trading signals.
Multi-Timeframe EMA Analysis: By analyzing EMAs from 15 minutes to 3 days, the MBAND indicator captures a comprehensive snapshot of market trends, enabling traders to make informed decisions based on a broad spectrum of data.
RSI and Volume Integration: The inclusion of the Relative Strength Index (RSI) and volume data adds layers of confirmation to the signals generated by the EMA bands. This multi-indicator approach helps in identifying high-probability setups, reinforcing the neural network’s concept of leveraging multiple data points for decision-making.
Usage Guidelines:
Signal Interpretation: The MBAND bands provide a visual representation of the market’s momentum and direction. A price moving above the upper band signals strength and potential continuation of an uptrend, while a move below the lower band suggests weakness and a possible downtrend.
Overbought/Oversold Conditions: The RSI component identifies when the asset is potentially overbought (>70) or oversold (<30). Traders should watch for these conditions near the MBAND levels for potential reversal opportunities.
Volume Confirmation: An increase in volume accompanying a price move towards or beyond an MBAND level serves as confirmation of the strength behind the move. This can indicate whether a breakout is likely to sustain or if a reversal has substantial backing.
Strategic Entry and Exit Points: Combine the MBAND readings with RSI and volume indicators to pinpoint strategic entry and exit points. For example, consider entering a long position when the price is near the lower MBAND, RSI indicates oversold conditions, and there is a notable volume increase.
About MGS-Trading:
At MGS-Trading, we are passionate about harnessing the transformative power of AI to revolutionize cryptocurrency trading. Our indicators and tools are designed to provide traders with advanced analytics and insights, drawing on the latest AI techniques and methodologies. The MBAND 200 4H BTC/USDT with RSI and Volume indicator is a prime example of our commitment to innovation, offering traders a sophisticated, AI-enhanced tool for navigating the complexities of the cryptocurrency markets.
Disclaimer:
The MBAND indicator is provided for informational purposes only and does not constitute investment advice. Trading cryptocurrencies involves significant risk and can result in the loss of your investment. We recommend conducting your own research and consulting with a qualified financial advisor before making any trading decisions.
HSI - Halving Seasonality Index for Bitcoin (BTC) [Logue]Halving Seasonality Index (HSI) for Bitcoin (BTC) - The HSI takes advantage of the consistency of BTC cycles. Past cycles have formed macro tops around 538 days after each halving. Past cycles have formed macro bottoms every 948 days after each halving. Therefore, a linear "risk" curve can be created between the bottom and top dates to measure how close BTC might be to a bottom or a top. The default triggers are set at 98% risk for tops and 5% risk for bottoms. Extensions are also added as defaults to allow easy identification of the dates of the next top or bottom according to the HSI.
CSI - Calendar Seasonality Index for Bitcoin (BTC) [Logue]Calendar Seasonality Index (CSI) for Bitcoin (BTC) - The CSI takes advantage of the consistency of BTC cycles. Past cycles have formed macro tops every four years near November 21st, starting from in 2013. Past cycles have formed macro bottoms every four years near January 15th, starting from 2011. Therefore, a linear "risk" curve can be created between the bottom and top dates to measure how close BTC might be to a bottom or a top. The default triggers are at 98% risk for tops and 5% risk for bottoms. Extensions are also added as defaults to allow easy identification of the dates of the next top or bottom according to the CSI.
BDC - Bitcoin (BTC) Dominance Change [Logue]Bitcoin Dominance Change. Interesting things tend to happen when the Bitcoin dominance increases or decreases rapidly. Perhaps because there is overexuberance in the market in either BTC or the alts. In back testing, I found a rapid 13-day change in dominance indicates interesting switches in the BTC trends. Prior to 2019, the indicator doesn't work as well to signal trend shifts (i.e., local tops and bottoms) likely based on very few coins making up the crypto market.
The BTC dominance change is calculated as a percentage change of the daily dominance. You are able to change the upper bound, lower bound, and the period (daily) of the indicator to your own preferences. The indicator going above the upper bound or below the lower bound will trigger a different background color.
Use this indicator at your own risk. I make no claims as to its accuracy in forecasting future trend changes of Bitcoin.
Blockchain Fundamentals - Active Address Sentiment Osc. [CR]Blockchain Fundamentals: Active Address Sentiment Oscillator AASO
Back with another script today, this one is a useful tool in helping to determine bitcoins value. We are looking at 2 data sources: the daily active addresses on the BTC blockchain, and the daily returns of BTC.
THIS INDICATOR WILL ONLY GIVE YOU THE CORRECT RESULTS ON THE DAILY TIMEFRAME
There is an interesting relationship that you can see by comparing the two timeseries. But for us to create a good indicator we first need to normalize the data. So we look at the percent change over the past 28 days for each metric (DAA and price).
THIS INDICATOR WILL ONLY GIVE YOU THE CORRECT RESULTS ON THE DAILY TIMEFRAME
We then calculate standard deviation bands around the DAA metric. We finalize them by averaging the bands over a 28 day period.
When the Price series (yellow line) is higher than the SD bands BTC is considered overvalued or price is overheated. A pullback could be expected soon. When the Price series is below the SD bands BTC is considered undervalued or price is oversold.
THIS INDICATOR WILL ONLY GIVE YOU THE CORRECT RESULTS ON THE DAILY TIMEFRAME
This tool doesnt give signals on the one minute chart or tell you exactly when to buy or sell. BUT what it does do is act as a convenient macro sentiment indicator that is not based completely upon price.
In an attempt to narrow down the really juicy areas, if you seen the background color highlights with white, that means its likely a top or bottom. At the very least on a local sense and many times in a cyclical macro sense as well. It also narrows down the signal to a generally more profitable area.
This indicator is not meant to be used on timeframes other than daily (did I mention that already?). I am lazy and did not code the calculations to be MTF (which is why you have to use on the daily chart). If you want to code this, please forward it on to me and I will post an update with a heartfelt credit to you.
What's BTC Doing?This is an RSI-like view of the price of BTC, along with a moving average. The purpose of it is so that whatever crypto you are trading, you can easily see what BTC is doing, so you can factor that into your signals.
Also, it could be used to look for divergences between BTC and the crypto you are trading, to detect potential reversals.
Automated Bitcoin (BTC) Investment Strategy from Wunderbit Automated Bitcoin (BTC) Investment Strategy from Wunderbit Trading
This strategy is designed for the automated long-term investment in Bitcoin. The BTC investment strategy is primarily suitable for long-term investors who want to increase the percentage of their investments through timely trading long-term transactions. The main feature is the difference from the indicator of long-term investment. Based on their statistics, this figure is 2 times less. That is, if we just bought Bitcoin and held it, we would receive 2 times less than if we applied the BTC Investment strategy.
This strategy uses the intersection of the triple exponential moving average and the least squares moving average. We also control the profit you will make during an uptrend by implementing a trailing stop based on the ATR indicator.
This is a spot market-only strategy and can be used primarily for long-term investors. The strategy is designed to create an automatic version of investing using a webhook.
Automation allows you to safely ignore the state of your portfolio and exclude emotions.
In order to create a cryptocurrency bot for this strategy, you need to:
1. Create alerts and link the URL to the webhook.
2. Connect the TradingView strategy with automated trading service.
Bitcoin Risk Indicator (Daily)This indicator calculates the risk of buying and selling BTC, if the risk is reaching the upper boundaries of 0.8 to 1 then BTC is either getting close to a market cycle top or is far over extended.
If BTC is below 0.4 then this inidicates the least amount of Risk to buy BTC.
Bitcoin Funds PremiumDisplay the % premium of 4 different Bitcoin Funds relative to the price of Bitcoin in your current chart.
BTCC ETF
QBTC Fund
GBTC Trust
VBTC ETN
This indicator uses the metrics from the fund management websites to calculate the "Net Asset Value per Unit (NAVPU)" to calculate the true underlying value of the fund.
The difference is then compared to the price of Bitcoin in the chart you have open.
Note that the metrics change and therefore the graph is not accurate for long past timeframes.
If TradingView would expand their script language in a way to ingest CSV data from the funds website then this could be improved.
You can update the metrics for each fund in the settings dialogue.
The script will autodetect the currency pairs of your current graph and only display compatible funds:
BTC / USD will show BTCC.U, QBTC.U and GBTC
BTC / CAD will show BTCC and QBTC
BTC / EUR will show VBTC
The script should not show in other currency pairs so it will not mess up other charts you might switch to.
If you find bugs with this logic, please comment below so I can fix them.
Due to TradingViews "no-links in description" policy, you need to google each funds website yourself to find the current metrics. These search terms should help:
BTCC search "Purpose Bitcoin ETF"
QBTC search "3iq The Bitcoin Fund (QBTC)"
GBTC search "Grayscale® Bitcoin Trust"
VBTC search "VanEck Vectors Bitcoin ETN"
ADX Momentum cross + MacD + HH LL + Buy/Sell Signals and alerts Hello, This is the first indicator I have made and would like to contribute to the community.
This strategy came from trying to replicate a previous ADX Cross Indicator that I loved on MT4 which I used successfully on EUR/USD on high and low time frames. Through the process of trying to replicate it I failed, I decided to take what I had written so far and create my own ADX cross strategy using the combination of 3 ADX's, their lag. Then also using Higher highs and lower lows with the MacD to further filter the signals.
There are two buy and two sell conditions , the difference between these are just the order in which the ADX crossing determines the entry. The MacD and higher highs and lower lows are the same for filtering the signal.
You can change the look back for HH and LL look back range, along with the DI Length & ADX Smoothing for all ADX's. The lag used for either the buy or sell strategy with the Lag_Buy/Lag_Sell inputs. Lag_mid setting will affect all 4 conditions.
From testing and based on the ADX cross logic you should follow this structure when changing the inputs for:
DI Length: Lowest DI value (I.E. 1)
DI Lengtha: Middle DI value (I.E. 2)
DI Lengthb: Highest DI value (I.E. 3)
ADX Smoothing: Lowest Smoothing value (I.E. 1)
ADX Smoothinga: Middle Smoothing value (I.E. 2)
ADX Smoothingb: Highest Smoothing value (I.E. 3)
I tested this on the EUR/USD, but mainly I have been using it on BTC/USDT(binance) and BTC/USDT Perpetual futures(binance) with the 5 minute chart. I suggest playing around with the settings depending on the Symbol and timeframe you use because the default settings are what I last found to be optimal for my self on the 5min BTC/USDT Perpetual futures(binance) chart.
A good starting point I found when using the indicator on other charts is to use the below values:
DI Length: 7
DI Lengtha: 14
DI Lengthb: 21
ADX Smoothing: 7
ADX Smoothinga: 14
ADX Smoothingb: 21
If you have any questions, suggestions, or requests for this indicator feel free contact me. You can either comment on here or Message me
If you like this indicator please like and comment where you found it useful.
PT Feeder - Market Trends Top 10 / BTC Moves Becasue nobody was kind enough to post some PT Feeder scripts and i knew i could just modify my trends / btc script that i originally created for PT Magic. Well i just did it.
What is this script for ? PT Feeder it allows you to better imagine what kind of values you should be expecting when setting the Market Trends and BTC moves.
Green are top 10 Markets:
"MaxTopCoinLongTermAverageChange": "-3"
"MinBaseCoinPriceChange": "3",
Blue is BTC:
"MinBaseCoinLongTermPriceChange": "-3"
"MaxBaseCoinPriceChange": "3",
Why only 10 markets well becasue tradingview is very limited but it is still better than nothing.
If you like agree and follow !
PT Magic - BTC/ETH Trigger Trend ChangesThis Script shows you how BTC/ETH Percentage change in trends affect coins you trade.
- For ETH market please change BTC in Setting for ETH
What you need it PT Magic:
{
"Name": "BTC1h", // UNIQUE market trend name (to be referenced by your triggers below)
"Platform": "CoinMarketCap", // Platform to grab prices from (Allowed values are: CoinMarketCap, Exchange)
"MaxMarkets": 1, // Number of markets/pairs to analyze sorted by 24h volume
"TrendMinutes": 60 // Number of minutes to build a trend (1440 = 24h, 720 = 12h, 60 = 1h)
},
{
"Name": "ETH1h", // UNIQUE market trend name (to be referenced by your triggers below)
"Platform": "CoinMarketCap", // Platform to grab prices from (Allowed values are: CoinMarketCap, Exchange)
"MaxMarkets": 2, // Number of markets/pairs to analyze sorted by 24h volume
"IgnoredMarkets": "BTC",
"TrendMinutes": 60 // Number of minutes to build a trend (1440 = 24h, 720 = 12h, 60 = 1h)
},
RatioTOTAL3/BTCShows the normalized ratio of TOTAL3 (altcoin market cap excluding BTC and ETH) divided by BTC price, as % change.
Mongoose Capital: BTC ETF DriftScope ProMongoose Capital: BTC ETF DriftScope Pro
A proprietary indicator for monitoring drift between Bitcoin Spot (BTCUSD) and Bitcoin Spot ETFs (such as IBIT). Designed to detect ETF premium/discount zones and generate actionable Fade or Long bias signals.
What it Does
Tracks IBIT and BTCUSD spread to highlight ETF price deviations.
Calculates correlation Z-Score for ETF/Spot alignment.
Outputs numeric bias signals: Fade (1), Long (1), Neutral (1).
How to Use
Apply to a BTCUSD chart (4H, 1D, or higher recommended).
Open the Data Window to view:
IBIT Spread %
Correlation Z-Score
Correlation %
Bias Flags (Fade, Long, Neutral)
Configure alerts for Fade and Long Bias conditions.
Confirm all signals with your trade plan and risk management.
Methodology
This tool calculates the percentage spread between IBIT and BTC Spot. A rolling Z-Score of the correlation is used to detect periods of significant divergence.
Fade Bias suggests potential short setups in premium zones with high Z-Scores.
Long Bias suggests potential long setups in discount zones with low Z-Scores.
Disclaimer
This indicator is for educational purposes only. It is not financial advice. Use at your own risk and verify signals independently.
Luma DCA Simulator (BTC only)Luma DCA Simulator – Guide
What is the Luma DCA Simulator?
The Luma DCA Tracker shows how regular Bitcoin investments (Dollar Cost Averaging) would have developed over a freely selectable period – directly in the chart, transparent and easy to follow.
Settings Overview
1. Investment amount per interval
Specifies how much capital is invested at each purchase (e.g. 100).
2. Start date
Defines the point in time from which the simulation begins – e.g. 01.01.2020.
3. Investment interval
Determines how frequently investments are made:
– Daily
– Weekly
– Every 14 days
– Monthly
4. Language
Switches the info box display between English and German.
5. Show investment data (optional)
If activated, the chart will display additional values such as total invested capital, BTC amount, current value, and profit/loss.
What the Chart Displays
Entry points: Each DCA purchase is marked as a point in the price chart.
Average entry price: An orange line visualizes the evolving DCA average.
Info box (bottom left) with a live summary of:
– Total invested capital
– Total BTC acquired
– Average entry price
– Current portfolio value
– Profit/loss in absolute terms and percentage
Note on Accuracy
This simulation is for illustrative purposes only.
Spreads, slippage, fees, and tax effects are not included.
Actual results may vary.
Technical Note
For daily or weekly intervals, the chart timeframe should be set to 1 day or lower to ensure all purchases are accurately included.
Larger timeframes (e.g. weekly or monthly charts) may result in missed investments.
Currency Handling
All calculations are based on the selected chart symbol (e.g. BTCUSD, BTCEUR, BTCUSDT).
The displayed currency is automatically determined by the chart used.
Luma DCA Tracker (BTC)Luma DCA Tracker (BTC) – User Guide
Function
This indicator simulates a regular Bitcoin investment strategy (Dollar Cost Averaging). It calculates and visualizes:
Accumulated BTC amount
Average entry price
Total amount invested
Current portfolio value
Profit/loss in absolute and percentage terms
Settings
Investment per interval
Fixed amount to be invested at each interval (e.g., 100 USD)
Start date
The date when DCA simulation begins
Investment interval
Choose between:
daily, weekly, every 14 days, or monthly
Show investment data
Displays additional chart lines (total invested, value, profit, etc.)
Chart Elements
Orange line: Average DCA entry price
Grey dots: Entry points based on selected interval
Info box (bottom left): Live summary of all key values
Notes
Purchases are simulated at the closing price of each interval
No fees, slippage, or taxes are included
The indicator is a simulation only and not linked to an actual portfolio
Crypto Portfolio vs BTC – Custom Blend TrackerThis tool tracks the performance of a custom-weighted crypto portfolio (SUI, BTC, SOL, DEEP, DOGE, LOFI, and Other) against BTC. Simply input your start date to anchor performance and compare your basket’s relative strength over time. Ideal for portfolio benchmarking, alt-season tracking, or macro trend validation.
Supports all timeframes. Based on BTC-relative returns (not USD). Open-source and customizable.
ADX for BTC [PineIndicators]The ADX Strategy for BTC is a trend-following system that uses the Average Directional Index (ADX) to determine market strength and momentum shifts. Designed for Bitcoin trading, this strategy applies a customizable ADX threshold to confirm trend signals and optionally filters entries using a Simple Moving Average (SMA). The system features automated entry and exit conditions, dynamic trade visualization, and built-in trade tracking for historical performance analysis.
⚙️ Core Strategy Components
1️⃣ Average Directional Index (ADX) Calculation
The ADX indicator measures trend strength without indicating direction. It is derived from the Positive Directional Movement (+DI) and Negative Directional Movement (-DI):
+DI (Positive Directional Index): Measures upward price movement.
-DI (Negative Directional Index): Measures downward price movement.
ADX Value: Higher values indicate stronger trends, regardless of direction.
This strategy uses a default ADX length of 14 to smooth out short-term fluctuations while detecting sustainable trends.
2️⃣ SMA Filter (Optional Trend Confirmation)
The strategy includes a 200-period SMA filter to validate trend direction before entering trades. If enabled:
✅ Long Entry is only allowed when price is above a long-term SMA multiplier (5x the standard SMA length).
✅ If disabled, the strategy only considers the ADX crossover threshold for trade entries.
This filter helps reduce entries in sideways or weak-trend conditions, improving signal reliability.
📌 Trade Logic & Conditions
🔹 Long Entry Conditions
A buy signal is triggered when:
✅ ADX crosses above the threshold (default = 14), indicating a strengthening trend.
✅ (If SMA filter is enabled) Price is above the long-term SMA multiplier.
🔻 Exit Conditions
A position is closed when:
✅ ADX crosses below the stop threshold (default = 45), signaling trend weakening.
By adjusting the entry and exit ADX levels, traders can fine-tune sensitivity to trend changes.
📏 Trade Visualization & Tracking
Trade Markers
"Buy" label (▲) appears when a long position is opened.
"Close" label (▼) appears when a position is exited.
Trade History Boxes
Green if a trade is profitable.
Red if a trade closes at a loss.
Trend Tracking Lines
Horizontal lines mark entry and exit prices.
A filled trade box visually represents trade duration and profitability.
These elements provide clear visual insights into trade execution and performance.
⚡ How to Use This Strategy
1️⃣ Apply the script to a BTC chart in TradingView.
2️⃣ Adjust ADX entry/exit levels based on trend sensitivity.
3️⃣ Enable or disable the SMA filter for trend confirmation.
4️⃣ Backtest performance to analyze historical trade execution.
5️⃣ Monitor trade markers and history boxes for real-time trend insights.
This strategy is designed for trend traders looking to capture high-momentum market conditions while filtering out weak trends.
Aggregation BTC CVDThe script calculates the Cumulative Volume Delta (CVD) for multiple cryptocurrency exchanges, then averages these values and plots them.
Indicator Setup:
The script sets up an indicator called "BTC Cumulative Volume Delta (CVD) for multiple cryptocurrency exchanges", displayed as a separate panel (not overlaid on the price chart) with volume format.
Getting 1-minute data from multiple exchanges:
It retrieves 1-minute data (buy and sell volumes) for Bitcoin (BTC) against USD or USDT from several exchanges: Binance, OKEx, Coinbase (both BTCUSDT and BTCUSD), Bitfinex, Bybit, Huobi, and Kraken.
Calculating total buying and selling volume for each exchange:
For each exchange, it calculates the total buying volume (buy_vol_...), selling volume (sell_vol_...), and the difference between them (delta_vol_...).
It then computes the cumulative delta volume (cum_delta_vol_...), which is a running total of delta_vol_....
Calculating the average CVD:
It calculates the average cumulative delta volume (average_cum_delta_vol) by summing the cumulative delta volumes from all exchanges and dividing by the number of exchanges.
Plotting the average CVD:
Finally, it plots the average CVD with white color, and a line width of 2.
This script essentially provides an averaged Cumulative Volume Delta across multiple exchanges, giving a comprehensive view of buying and selling pressure in the Bitcoin market across these platforms.
COIN/BTC Volume-Weighted DivergenceThe COIN/BTC Volume-Weighted Divergence indicator identifies buy and sell signals by analyzing deviations between Coinbase and Bitcoin prices relative to their respective VWAPs (Volume-Weighted Average Price). This method isolates points of potential trend reversals, overextensions, or relative mispricing based on volume-adjusted price benchmarks.
The indicator leverages Coinbase’s high beta relative to Bitcoin in bull markets. A buy signal occurs when Coinbase is below VWAP (indicating undervaluation) while Bitcoin is above VWAP (signaling strong broader momentum). A sell signal is generated when Coinbase trades above VWAP (indicating overvaluation) while Bitcoin moves below VWAP (indicating weakening momentum).
This divergence logic enables traders to identify misalignment between Bitcoin-driven market trends and Coinbase’s price behavior. The indicator effectively identifies undervalued entry points and signals exits before speculative extensions are correct. It provides a systematic approach to trading during trending conditions, aligning decisions with volume-weighted price dynamics and inter-asset relationships.
How It Works
1. VWAP:
“fair value” benchmark combining price and volume.
• Above VWAP: Bullish momentum.
• Below VWAP: Bearish momentum.
2. Divergence:
• Coinbase Divergence: close - coin_vwap (distance from COIN’s VWAP).
• Bitcoin Divergence: btc_price - btc_vwap (distance from BTC’s VWAP).
3. Signals:
• Buy: Coinbase is below VWAP (potentially oversold), and Bitcoin is above VWAP (broader bullish trend).
• Sell: Coinbase is above VWAP (potentially overbought), and Bitcoin is below VWAP (broader bearish trend).
4. Visualization:
• Green triangle: Buy signal.
• Red triangle: Sell signal.
Strengths
• Combines price and volume for reliable insights.
• Highlights potential trend reversals or overextensions.
• Exploits correlations between Coinbase and Bitcoin.
Limitations
• Struggles in sideways markets.
• Sensitive to volume spikes, which may distort VWAP.
• Ineffective in strong trends where divergence persists.
Improvements
1. Z-Scores: Use statistical thresholds (e.g., ±2 std dev) for stronger signals.
2. Volume Filter: Generate signals only during high-volume periods.
3. Momentum Confirmation: Combine with RSI or MACD for better reliability.
4. Multi-Timeframe VWAP: Use intraday, daily, and weekly VWAPs for deeper analysis.
Complementary Tools
• Momentum Indicators: RSI, MACD for trend validation.
• Volume-Based Metrics: OBV, cumulative delta volume.
• Support/Resistance Levels: Enhance reversal accuracy.
MSTR-BTC PremiumThis custom indicator, “MSTR-BTC Premium with High, Average, and Low Levels,” helps you analyze the premium of MicroStrategy Incorporated’s (MSTR) stock price in relation to its Bitcoin holdings. By comparing the market capitalization of MSTR to the value of its Bitcoin holdings (using BTCUSD from Coinbase), this indicator calculates a premium that reflects how much the stock price deviates from its Bitcoin-related value.
Key Features:
• Premium Line: The primary feature is the “Premium,” which shows the ratio of MSTR’s market cap relative to its Bitcoin holdings and the BTCUSD price.
• High, Average, and Low Levels: The indicator calculates the highest, lowest, and average premium values over a user-defined period (default is 14 bars). These levels help identify overbought and oversold conditions relative to the stock’s Bitcoin valuation.
• Visual Shading: The area between the premium line and the average is shaded, making it easier to see when the premium is above or below its typical level. Optional shading is also available between the high and low levels to visualize the price range.
How to Use:
• Overbought/Undervalued Conditions: When the premium line rises significantly above the average, it may indicate that MSTR stock is overbought compared to its Bitcoin holdings. Conversely, when the premium falls below the average or approaches the low line, it might signal an undervalued opportunity.
• Trend and Mean Reversion: The high and low lines provide insight into extreme levels. Monitoring these alongside the average can assist in identifying potential mean reversion trades.
Customization:
• Calculation Period: The period for calculating the high, low, and average values can be adjusted to suit your trading strategy (default is 14).
• Shading Options: By default, the area between the premium and its average is shaded. You can enable or disable the shading between the high and low as needed.
This indicator is particularly useful for traders and investors following MicroStrategy (MSTR) and its Bitcoin strategy, providing a deeper understanding of the stock’s relationship to its underlying Bitcoin assets. It can assist in identifying key levels for decision-making based on deviations from historical norms.
How to Add the Indicator:
1. Adjust the calculation period (default is 14) to customize the analysis according to your preferred timeframe.
2. Watch for significant deviations of the premium line from its average to identify potential overbought/oversold conditions.
3. Use the high and low levels to help gauge extreme premium values and possible mean reversion opportunities.
Enjoy the analysis and make more informed decisions with the MSTR-BTC Premium Indicator!
This description should be clear and informative for anyone considering using your indicator. It highlights the functionality, purpose, and customization options in a straightforward way. Let me know if you’d like to tweak or adjust any part of it!
