Global Market Strength IndicatorThe Global Market Strength Indicator is a powerful tool for traders and investors. It helps compare the strength of various global markets and indices. This indicator uses the True Strength Index (TSI) to measure market strength.
The indicator retrieves price data for different markets and calculates their TSI values. These values are then plotted on a chart. Each market is represented by a different colored line, making it easy to distinguish between them.
One of the main benefits of this indicator is its comprehensive global view. It covers major indices and country-specific ETFs, giving users a broad perspective on global market trends. This wide coverage allows for easy comparison between different markets and regions.
The indicator is highly customizable. Users can adjust the TSI smoothing period to suit their preferences. They can also toggle the visibility of individual markets. This feature helps reduce chart clutter and allows for more focused analysis.
To use the indicator, apply it to your chart in TradingView. Adjust the settings as needed, and observe the relative positions and movements of the TSI lines. Lines moving higher indicate increasing strength in that market, while lines moving lower suggest weakening markets.
The chart includes reference lines at 0.5 and -0.5. These help identify potential overbought and oversold conditions. Markets with TSI values above 0.5 may be considered strong or potentially overbought. Those below -0.5 may be weak or potentially oversold.
By comparing the movements of different markets, users can identify which markets are leading or lagging. They can also spot potential divergences between related markets. This information can be valuable for identifying sector rotations or shifts in global market sentiment.
A dynamic legend automatically updates to show only the visible markets. This feature improves chart readability and makes it easier to interpret the data.
The Global Market Strength Indicator is a versatile tool that provides valuable insights into global market performance. It helps traders and investors identify trends, compare market performances, and make more informed decisions. Whether you're looking to spot emerging global trends or identify potential trading opportunities, this indicator offers a comprehensive solution for global market analysis.
Fundamental Analysis
S&P 500 Sector StrengthsThe "S&P 500 Sector Strengths" indicator is a sophisticated tool designed to provide traders and investors with a comprehensive view of the relative performance of various sectors within the S&P 500 index. This indicator utilizes the True Strength Index (TSI) to measure and compare the strength of different sectors, offering valuable insights into market trends and sector rotations.
At its core, the indicator calculates the TSI for each sector using price data obtained through the request.security() function. The TSI, a momentum oscillator, is computed using a user-defined smoothing period, allowing for customization based on individual preferences and trading styles. The resulting TSI values for each sector are then plotted on the chart, creating a visual representation of sector strengths.
To use this indicator effectively, traders should focus on comparing the movements of different sector lines. Sectors with lines moving higher are showing increasing strength, while those with descending lines are exhibiting weakness. This comparative analysis can help identify potential investment opportunities and sector rotations. Additionally, when multiple sector lines move in tandem, it may signal a broader market trend.
The indicator includes dashed lines at 0.5 and -0.5, serving as reference points for overbought and oversold conditions. Sectors with TSI values above 0.5 might be considered overbought, suggesting caution, while those below -0.5 could be viewed as oversold, potentially indicating buying opportunities.
One of the key advantages of this indicator is its flexibility. Users can toggle the visibility of individual sectors and customize their colors, allowing for a tailored analysis experience. This feature is particularly useful when focusing on specific sectors or reducing chart clutter for clearer visualization.
The indicator's ability to provide a comprehensive overview of all major S&P 500 sectors in a single chart is a significant benefit. This consolidated view enables quick comparisons and helps in identifying relative strengths and weaknesses across sectors. Such insights can be invaluable for portfolio allocation decisions and in spotting emerging market trends.
Moreover, the dynamic legend feature enhances the indicator's usability. It automatically updates to display only the visible sectors, improving chart readability and interpretation.
By leveraging this indicator, market participants can gain a deeper understanding of sector dynamics within the S&P 500. This enhanced perspective can lead to more informed decision-making in sector allocation strategies and individual stock selection. The indicator's ability to potentially detect early trends by comparing sector strengths adds another layer of value, allowing users to position themselves ahead of broader market movements.
In conclusion, the "S&P 500 Sector Strengths" indicator is a powerful tool that combines technical analysis with sector comparison. Its user-friendly interface, customizable features, and comprehensive sector coverage make it an valuable asset for traders and investors seeking to navigate the complexities of the S&P 500 market with greater confidence and insight.
Highest Volume EverOverview:
The Highest Volume Ever (HVE) indicator highlights the highest volume bar in the visible chart history. It visually emphasizes significant volume spikes, helping traders identify key moments of market activity, such as breakout signals or accumulation phases.
Key Features:
Automatic Detection of Highest Volume:
The indicator dynamically scans the entire chart history to identify the bar with the highest trading volume, marking it with a clearly visible label.
Volume in Millions:
The label displays the highest volume in millions, providing a concise and readable format for better interpretation.
Adaptive Positioning:
The label is positioned slightly above the volume bar, ensuring it doesn't obstruct other chart elements while remaining close to the bar for easy reference.
Use Cases:
Identify Significant Market Activity: Detect periods of unusually high volume, often indicating the start of strong trends or the end of consolidations.
Confirm Breakouts: High volume often confirms the strength of breakout moves.
Spot Accumulation or Distribution: Unusually high volume can signal institutional buying or selling.
How to Use:
Add the indicator to your chart on TradingView.
The highest volume bar will be highlighted with a green bar and an "HVE" label above it.
Adjust the chart range to see how the indicator dynamically updates.
Perfect for:
Traders who rely on volume analysis to confirm price movements and detect significant market events.
BTC Price Percentage Difference( Bitfinex - Coinbase)Introduction:
The BTC Price Percentage Difference Histogram Indicator is a powerful tool designed to help traders visualize and capitalize on the price discrepancies of Bitcoin (BTC) between two major exchanges: Bitfinex and Coinbase. By calculating the real-time percentage difference of BTC-USD prices and displaying it as a color-coded histogram, this indicator enables you to quickly spot potential arbitrage opportunities and gain deeper insights into market dynamics.
Features:
• Real-Time Percentage Difference Calculation:
• Computes the percentage difference between BTC-USD prices on Bitfinex and Coinbase.
• Color-Coded Histogram Visualization:
• Green Bars: Indicate that the BTC price on Bitfinex is higher than on Coinbase.
• Red Bars: Indicate that the BTC price on Bitfinex is lower than on Coinbase.
• User-Friendly and Intuitive:
• Simple setup with no additional inputs required.
• Automatically adapts to the chart’s timeframe for seamless integration.
Why Bitfinex Whales Matter:
Bitfinex is renowned for hosting some of the largest Bitcoin traders, often referred to as “whales.” These influential players have the capacity to move the market, and historically, they’ve demonstrated a high success rate in buying at market bottoms and selling at market tops. By tracking the price discrepancies between Bitfinex and other exchanges like Coinbase, you can gain valuable insights into the sentiment and actions of these key market participants.
Correlation Coefficient [Giang]### **Introduction to the "Correlation Coefficient" Indicator**
#### **Idea behind the Indicator**
The "Correlation Coefficient" indicator was developed to analyze the linear relationship between Bitcoin (**BTCUSD**) and other important economic indices or financial assets, such as:
- **SPX** (S&P 500 Index): Represents the U.S. stock market.
- **DXY** (Dollar Index): Reflects the strength of the USD against major currencies.
- **SPY** (ETF representing the S&P 500): A popular trading instrument.
- **GOLD** (Gold price): A traditional safe-haven asset.
The correlation between these assets can help traders understand how Bitcoin reacts to market movements of traditional financial instruments, providing opportunities for more effective trading decisions.
Additionally, the indicator allows users to **customize asset symbols for comparison**, not limited to the default indices (SPX, DXY, SPY, GOLD). This flexibility enables traders to tailor their analysis to specific goals and portfolios.
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#### **Significance and Use of Correlation in Trading**
**Correlation** is a measure of the linear relationship between two data series. In the context of this indicator:
- **The correlation coefficient ranges from -1 to 1**:
- **1**: Perfect positive relationship (both increase or decrease together).
- **0**: No linear relationship.
- **-1**: Perfect negative relationship (one increases while the other decreases).
- **Use in trading**:
- Identify **strong relationships or unusual divergences** between Bitcoin and other assets.
- Help determine **market sentiment**: For example, if Bitcoin has a negative correlation with DXY, traders might expect Bitcoin to rise when the USD weakens.
- Provide a foundation for hedging strategies or investments based on inter-asset relationships.
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#### **Components of the Indicator**
The "Correlation Coefficient" indicator consists of the following key components:
1. **Main Data (BTCUSD)**:
- The closing price of Bitcoin is used as the central asset for calculations.
2. **Comparison Data**:
- Users can select different asset symbols for comparison. By default, the indicator supports:
- **SPX**: Stock market index.
- **DXY**: Dollar Index.
- **SPY**: Popular ETF.
- **GOLD**: Gold price.
3. **Correlation Coefficients**:
- Calculated between BTC and each comparison index, based on a Weighted Moving Average (WMA) over a user-defined period.
4. **Graphical Representation**:
- Displays individual correlation coefficients with each comparison index, making it easier for traders to track and analyze.
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#### **How to Analyze and Use the Indicator**
**1. Identify Key Correlations:**
- Observe the correlation lines between BTC and the indices to determine positive or negative relationships.
- Example:
- If the **Correlation Coefficient (BTC-DXY)** sharply declines to -1, this indicates that when USD strengthens, Bitcoin tends to weaken.
**2. Analyze the Strength of Correlations:**
- **Strong Correlations**: If the coefficient is close to 1 or -1, the relationship between the two assets is very clear.
- **Weak Correlations**: If the coefficient is near 0, Bitcoin may be influenced by other factors outside the compared index.
**3. Develop Trading Strategies:**
- Use correlations to predict Bitcoin's price movements:
- If BTC has an inverse relationship with **DXY**, traders might consider selling BTC when the USD strengthens.
- If BTC and **SPX** are strongly correlated, traders can monitor the stock market to predict Bitcoin's trend.
**4. Evaluate Changes Over Time:**
- Use different timeframes (daily, weekly) to track the correlation's fluctuations.
- Look for unusual signals, such as a breakdown or shift from positive to negative relationships.
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#### **Conclusion**
The "Correlation Coefficient" indicator is a powerful tool that helps traders analyze the relationship between Bitcoin and major financial indices. The ability to customize asset symbols for comparison makes the indicator flexible and suitable for various trading strategies. When used correctly, this indicator not only provides insights into market sentiment but also supports the development of intelligent trading strategies and optimized profits.
Rejection Candle DetectorUsing the Rejection Candle Detector with Order Blocks
Plotting Order Blocks:
Identify Key Levels: Begin by identifying key levels on the chart where large buying or selling activity has taken place. These areas are often referred to as order blocks.
Draw the Blocks: Use horizontal lines or rectangular zones to mark these order blocks on your chart. These levels will act as potential support or resistance areas where price is likely to react.
Setting Up the Rejection Candle Detector:
Apply the Indicator: Add the Rejection Candle Detector to your TradingView chart.
Customize Settings: Adjust the look-back period, label colors, and transparency according to your preferences.
Monitoring Price Action:
Wait for Price to Reach an Order Block: Monitor the chart for when the price approaches one of your predefined order blocks.
Look for Rejection Candles: The Rejection Candle Detector will help you identify rejection candlestick patterns within the look-back period (default is 10 bars).
Entry Decision:
Confirm Rejection: Once the price touches an order block and a rejection candle is detected by the indicator, this could signal a potential entry point. Rejection candles indicate that the price tried to move past the order block but was pushed back, showing strong resistance or support at that level.
Align with Your Analysis: Ensure that the detected rejection candle aligns with your overall trading analysis and strategy. Consider other factors such as trend direction, volume, and market conditions before making an entry.
Managing the Trade:
Set Stop Loss: Place a stop loss just beyond the order block to manage your risk in case the price breaks through the level.
Target Levels: Define your target levels for taking profit based on the next significant support or resistance levels on the chart.
Monitor and Adjust: Continue to monitor the trade and adjust your stop loss or take profit levels as needed based on price action and market conditions.
Example Scenario:
Order Block: You identify an order block at the $50 level on your chart, marking it as a potential support zone.
Price Reaction: Price approaches and tests the $50 level.
Rejection Candle: The Rejection Candle Detector spots a hammer candlestick (a bullish rejection pattern) forming right at the $50 level.
Entry Point: You decide to enter a long trade at the close of the hammer candle, setting your stop loss just below the $50 level.
Trade Management: Set your target at the next resistance level, say $55, and monitor the trade, adjusting as necessary...
Coinbase Premium HeatmapCoinbase Premium Heatmap visualizes spot bitcoin premium (or discount) on Coinbase, relative to other spot markets, visualized as a heatmap overlay.
OPTIMIZED FOR CLARITY
Coinbase Premium can whipsaw quickly, with dramatic state changes over relatively brief periods, unnecessarily complicating its use (for our purposes).
To mitigate whipsaws, the script (a) averages premium/discount on an hourly basis, and (b) introduces lightweight exponential smoothing, to further simplify/clarify state.
WHY IT MATTERS
Spot Coinbase premium is a strong proxy for bullish institutional sentiment and net inflows/accumulation by western financial institutions, ETF providers, and corporations (like MicroStrategy) adding bitcoin to their treasury.
In aggregate, this holder cohort drives trend & sentiment more than any other, so it's important to know their directional bias.
HOW IT'S CALCULATED
Premium / discount calculates the spread between Coinbase spot BTC price, and spot price on Binance + Bybit. Calculation is averaged hourly, with light exponential smoothing.
HOW WE USE THE SCRIPT
When assessing optimal moments to hedge exposure (or sell spot assets) near a presumed impending cycle top, awareness of institutional sentiment is a crucial variable. This script:
(a) Filters out unnecessarily early cycle exit signals (if Coinbase premium is still present)
(b) Confirms other metrics that indicate an impending cycle top (if the neutral to bearish institutional sentiment we'd expect to see is in effect), and
(c) Visualizes state changes (from bearish to bullish & vice versa), that often make for good swing entries & exits on lower timeframes.
Supply and demand v2Supply and Demand v2
This Pine Script indicator is designed to identify and visualize supply and demand zones on a trading chart, using three different lookback periods for comprehensive analysis. The script features brightened colors for clear visibility and provides real-time alerts for price entry into these zones.
Key Features:
Multi-Period Analysis:
Near Lookback: Analyzes the most recent 30 bars to identify short-term supply and demand zones.
Medium Lookback: Uses a lookback period of 300 bars to capture intermediate supply and demand zones.
Far Lookback: Examines a larger timeframe of 3000 bars to detect long-term supply and demand zones.
Visual Representation:
Supply Zones: Plots the identified supply zones in brightened red shades for clear visibility.
Demand Zones: Marks the demand zones in brightened green shades for easy differentiation.
Opacity and Color Intensity: Adjusts the opacity and color intensity to distinguish between near, medium, and far lookback periods.
Alerts:
Provides real-time alerts when the price enters any of the identified supply or demand zones, enabling traders to take timely actions.
How It Works:
Supply Zones: The script identifies the highest high and lowest low within each lookback period (near, medium, far) and plots these levels as supply zones.
Demand Zones: Similarly, it identifies the lowest high and highest low within each lookback period to determine demand zones.
Alerts: When the price crosses into any of the plotted supply or demand zones, the script triggers an alert, helping traders stay informed about key levels.
This indicator helps traders to quickly identify significant supply and demand zones across different time frames, providing a clearer understanding of potential market reversals and trading opportunities. The visual cues and alert system make it an invaluable tool for technical analysis and strategic decision-making in trading...
Bitcoin Value Capture HeatmapBTC Value Capture Heatmap answers a question originally posed by Willy Woo:
"How much pressure on Bitcoin's market cap does one dollar of purchasing power exert?"
The higher the print, the more market cap grows per dollar invested -- adjusted for global M2 growth.
Bitcoin Value Capture Heatmap = ( market cap / global M2 ) / realized cap
A NOVEL INGREDIENT REVEALS A UNIQUE USE CASE
Adjusting bitcoin's market cap for global M2 growth sharpens a legacy metric with a normalizing factor that 'stabilizes' its view across cycles.
The metric peaked at identical levels (4.2), three bitcoin bull markets in a row. On the same day bitcoin price volatility peaked for the cycle, every time.
One might naturally expect this to coincide with cycle tops. But it doesn't.
It precede's cycle's tops: in a consistent, very specific way, that predisposing a unique use case.
BITCOIN'S VOLATILTY TOP
The metric's true use case only comes into clear focus when paired with an unrelated insight:
Whether in distribution (in Spring 2021) or a parabolic blow off top (2017 & 2013), each of the last 3 bitcoin cycle tops shows tight consistent adherence to the Wykoff Distribution Schematic.
"But Wykoff schematics apply to distribution tops, not to blow off tops."
A closer look at the last 15-20 years of parabolic blow off tops, across all asset classes , viewed through a Wykoff lens, reveals recurring tight adherence to Wykoff's Distribution Schematic.
Including (and especially) BTC's parabolic top in Dec 2017; BTC's parabolic top in 2013; and ETH's blow off top in Jan 2018.
In our age of automation, this makes sense. Wykoff's schematics mirror the timeless archetypal goal of his 'Composite Operator': max pain for all other market participants.
A process that lends itself to automation, optimized a bit more each passing year.
Peak cycle volatility maps directly to the Wykoff Distribution Schematic's 'Buying Climax'.
An event that preceded parabolic cycle tops, by about 2 weeks.
Future BTC parabolas (should they recur) would come at exponentially higher market caps, so they may take longer to unfold -- I don't take the 2 week pattern too seriously.
But Parabolic Distribution as an emergent archetypal market structure is likely encoded.
PUTTING IT ALL TOGETHER
Bitcoin Value Capture Heatmap signals peak cycle volatility, on a daily close of 4.2 on the metric's Y axis. It has never reached that level twice in the same cycle.
Awareness that:
(a) peak volatility for the cycle has likely been reached, and
(b) peak volatility has a history of tightly preceding bitcoin cycle tops, can
(c) empowers traders with a data-driven 'guide post' to their likely exactly location in an increasingly archetypal topping process.
SPECIFIC USES IN AN EXIT STRATEGY
When the Heatmap's signal level is reached, one might (for instance):
* Hedge, since bitcoin is likely closing in on its cycle top, OR
* Start to DCA out, over a pre-planned time period OR
* Rotate up the risk curve, since BTC probably doesn't have much upside left, OR
* Wait for acceptance one leg higher, which (consistent with Wykoff logic) is the likeliest place to expect an actual cycle top.
Though the ratio (in the past) touched 4.2 each cycle, a closer look shows subtly lower peaks per cycle, like most other on-chain cycle oscillators.
Extrapolating out, one might expect bitcoin's next top on volatility to print on any touch of 4.0 or higher.
Or one might give it more room to run, consistent with record institutiional flows this cycle.
Alerts are enabled for both options.
The metric works on any timeframe, but should only be used on the 1D chart.
Daily Directional Bias Indicator (S&P 500)This indicator is designed to help you be on the right side of the trade.
Most traders who struggle to know which way price may move are only looking at part of the picture. This Directional Bias Indicator uses both the Accumulation/Distribution Line and VIX for directional confirmation.
The Accumulation/Distribution Line
The Accumulation/Distribution (ACC) line helps us gauge market momentum by showing the cumulative flow of money into or out of an asset. When the ACC line is rising, it suggests that buying pressure is dominating, indicating a bullish market. Conversely, when the ACC line is falling, it suggests that selling pressure is stronger, indicating a bearish market. By comparing the ACC line with the VWAP, traders can see if the price is moving in line with the overall market sentiment. If the ACC line is above the VWAP, it suggests the market is in a bullish phase; if it's below, it indicates a bearish phase.
The VIX
The VIX (Volatility Index) is often referred to as the "fear gauge" of the market. When the VIX is rising, it typically signals increased market fear and higher volatility, which can be a sign of bearish market conditions. Conversely, when the VIX is falling, it suggests lower volatility and a more stable, bullish market. Using the VIX with the VWAP helps us confirm market direction, particularly in relation to the S&P 500.
VWAP
For both the ACC Line and VIX, we use a VWAP line to gauge whether the ACC line or the VIX is above or below the average. When the ACC line is above the VWAP, we view it as a sign that price will go up. However, because the VIX has an inverse relationship, when the VIX falls below the VWAP, we take that as a sign to go long.
How to use
The yellow line represents the ACC Line.
The red line represents the VWAP based on the ACC line.
The triangles at the bottom simply show when the ACC line is above or below the VWAP.
The triangles at the top show whether the VIX is bullish or bearish.
If both triangles (top or bottom) are bullish, this confirms that the price of an asset like the S&P 500 will likely go up. If both triangles are pointing down, it suggests that price will fall.
As always, test for yourself.
Happy trading!
M2 Money Shift for Bitcoin [SAKANE]M2 Money Shift for Bitcoin was developed to visualize the impact of M2 Money, a macroeconomic indicator, on the Bitcoin market and to support trade analysis.
Bitcoin price fluctuations have a certain correlation with cycles in M2 money supply.In particular, it has been noted that changes in M2 supply can affect the bitcoin price 70 days in advance.Very high correlations have been observed in recent years in particular, making it useful as a supplemental analytical tool for trading.
Support for M2 data from multiple countries
M2 supply data from the U.S., Europe, China, Japan, the U.K., Canada, Australia, and India are integrated and all are displayed in U.S. dollar equivalents.
Slide function
Using the "Slide Days Forward" setting, M2 data can be slid up to 500 days, allowing for flexible analysis that takes into account the time difference from the bitcoin price.
Plotting Total Liquidity
Plot total liquidity (in trillions of dollars) by summing the M2 supply of multiple countries.
How to use
After applying the indicator to the chart, activate the M2 data for the required country from the settings screen. 2.
2. adjust "Slide Days Forward" to analyze the relationship between changes in M2 supply and bitcoin price
3. refer to the Gross Liquidity plot to build a trading strategy that takes into account macroeconomic influences.
Notes.
This indicator is an auxiliary tool for trade analysis and does not guarantee future price trends.
The relationship between M2 supply and bitcoin price depends on many factors and should be used in conjunction with other analysis methods.
Asset Valuation ToolAsset Valuation Tool
This script provides a multi-dimensional perspective on asset valuation by comparing its price movements against three major benchmarks: bond prices, gold prices, and the US Dollar Index (DXY). It is designed to help traders identify overbought and oversold conditions in the context of these relationships.
How It Works
Valuation Ratios: The script calculates the ratio of the primary asset's price to that of bonds, gold, and DXY.
RSI-Based Analysis: The script uses a modified RSI (Relative Strength Index) to assess the momentum of these ratios over a user-defined lookback period.
Rescaling & Normalization: To provide a unified view, the valuation metrics are rescaled to a fixed range (-100 to 100), where extreme values can indicate overbought or oversold conditions.
Features:
Customizable Inputs:
Lookback period (default: 10).
Symbols for bonds, gold, and DXY, allowing flexibility for various trading instruments.
Visual Indicators:
Dynamic plots for each valuation metric (Bond, Gold, DXY).
Horizontal lines at key levels (+75, 0, -75) for easy identification of overbought/oversold zones.
Cross-Asset Insights: Gain insights into how the asset behaves relative to key market indicators.
How to Use:
Add the script to your chart and configure the asset symbols under the settings menu.
Observe the plotted lines for each valuation metric:
Values above +75 may indicate overbought conditions relative to a benchmark.
Values below -75 may indicate oversold conditions.
Use in combination with other technical analysis tools for a comprehensive market view.
Note: This script is for educational purposes and should not be considered financial advice. Always perform additional research before making trading decisions.
Retracement Painpoints - Robinhodl21Description:
Retracement Painpoints is crafted to delve into the psychology of markets, particularly assets that are heavily driven by profit expectations and hype cycles. This tool excels when applied to assets experiencing strong hype phases. By visualizing downturns, you can assess which pullbacks are mere pauses in the hype cycle and which ones might signal the end of a trend or precede more significant declines. This insight allows you to identify critical points where market sentiment shifts, helping you make more informed trading decisions.
Main Features:
Focuses on assets influenced by hype and strong profit expectations. Helps distinguish between normal retracements and potential trend reversals.
Trend Detection Methods: Moving Average (MA): Utilizes a customizable MA period to determine market trends. Delta to All-Time High (ATH): Analyzes the percentage distance from the ATH to define trend direction. No Trend Detection: Allows for neutral analysis without trend bias.
Statistical Drawdown Analysis: Identifies local minima in drawdowns to calculate statistically significant levels. Option to calculate statistics based on trend direction (bullish/bearish). Adjustable variables for fine-tuning statistical levels.
Visualization: Plots drawdown curves with color-coding based on trend direction. Displays calculated statistical levels on the chart to highlight potential pain points.
Usage:
Set Parameters: Trend Detection Method: Choose your preferred method (MA, Delta to ATH, or None). MA Period: Define the period for the moving average (default: 420). Delta to ATH (%): Set the threshold for distance to ATH (default: 30%). Neutral Zone Delta to ATH (%): Define the neutral market zone (default: 60%). Stat Variables 1 & 2: Adjust these to select the desired statistical drawdown levels. Minimum Drawdown Threshold (%): Set the minimum drawdown to consider in analysis (default: 10%).
Interpretation: Drawdown Curve: Monitor percentage declines from local maxima. The color indicates the current trend direction: Green: Uptrend. Red: Downtrend. Gray: Neutral or no trend detection. Statistical Levels: Use the displayed levels as potential support or resistance zones, reflecting key psychological levels in the market.
Strategic Application: Identify crucial areas where the price has historically reversed. Assess whether a downturn is a typical retracement within a hype cycle or a sign of a more significant decline. Combine this tool with other technical analysis methods to enhance your trading strategy. Adjust settings based on market conditions and personal trading preferences.
Notes: The indicator is based on historical data and should not be used as the sole basis for trading decisions. It's recommended to test the indicator across various markets and timeframes. Past performance is not indicative of future results.
Created by Robinhodl
Another Brian"Another Brian" is an advanced TradingView indicator meticulously designed to offer traders a multifaceted analysis by integrating both technical and fundamental metrics. Unlike standard indicators, this script uniquely combines multi-period Moving Averages (SMA and WMA) with multi-day Volume-Weighted Average Prices (VWAPs) to accurately identify trend directions and potential support/resistance levels. It incorporates pivot points (S2 and R2) specifically calculated for intraday timeframes (1 to 14 minutes) to highlight key profit-taking areas tailored for day trading.
A standout feature of "Another Brian" is its dynamic background color coding, which changes based on the selected timeframe. This visual cue allows traders to instantly recognize the current trading context, enhancing situational awareness and decision-making efficiency.
On the fundamental side, the script evaluates dividend yield and dividend payout ratios, integrating these metrics with distribution data—crucial for ETFs where distributions may not appear as traditional dividends. By pulling and analyzing distribution information, "Another Brian" provides a more comprehensive yield assessment. This data is then compared to historical volatility (HV), enabling traders to gauge the stability and risk associated with their investments.
The indicator also features a comprehensive Risk-Adjusted Yield Ratio (RAYR), which compares the annualized distribution yield to its standard deviation. This ratio helps traders assess the efficiency of ETFs by balancing yield against volatility, highlighting investments that offer an optimal risk-return profile.
Central to the user experience is a dynamic data table that displays essential metrics such as 20-day Volume, ATR20, ADR20, moving averages status, yield ratios, and volatility measures. This table is color-coded for quick visual interpretation:
Setup : turn off the candle colors, the indicator draws price.
Red Indicators: Signal that a closer examination is needed, allowing traders to swiftly identify potential issues or opportunities.
Green and Yellow Indicators: Provide positive or neutral signals, aiding in the swift assessment of market conditions.
Additionally, "Another Brian" includes a trigger detection system that identifies potential bullish or bearish conditions based on the interaction between SMAs and WMAs across multiple timeframes. These triggers offer actionable trading signals, enhancing the tool's utility for both novice and experienced traders.
Key Features:
Moving Averages (MA):
Simple Moving Average (SMA): Calculates SMA over various periods (20-day, 50-day) to identify trend directions.
Weighted Moving Average (WMA): Computes WMA to give more significance to recent price data, aiding in trend detection.
Volume-Weighted Average Price (VWAP):
Multi-Day VWAPs: Plots VWAPs for 1-day, 2-day, and 3-day periods, helping traders identify potential support and resistance levels based on volume-weighted pricing.
Pivot Points:
Support (S2) and Resistance (R2): Calculates and plots key pivot points for intraday timeframes (1 to 14 minutes), assisting in identifying potential profit-taking zones for day trades.
Volatility Metrics:
Average True Range (ATR): Measures market volatility over a 20-day period.
Historical Volatility (HV): Assesses volatility over the past year, providing insights into price fluctuations.
Dividend and Distribution Analysis:
Dividend Yield & Payout Ratio: Displays current dividend yield and payout ratios as percentages.
Distribution Data: Integrates distribution information for ETFs, ensuring comprehensive yield analysis even when distributions don't appear as traditional dividends.
Risk-Adjusted Yield Ratio (RAYR):
RAYR Calculation: Compares the annualized distribution yield to its standard deviation, indicating the yield received for each unit of risk taken.
RAYR Indicators: Highlights ETFs with favorable RAYR values, aiding in identifying investments that offer a balanced risk-return profile.
Dynamic Data Table:
Comprehensive Metrics Display: Showcases key metrics such as 20-day Volume, ATR20, ADR20, moving averages status, yield ratios, and volatility measures.
Color-Coding: Utilizes color-coded elements to indicate the status of various metrics, enhancing visual interpretation and decision-making.
Quick View Alerts: Red indicators prompt traders to take a closer look, streamlining the analysis process.
Trigger Indicators:
Pre-Trigger Conditions: Identifies potential market triggers based on moving average crossovers and other predefined conditions.
Bullish and Bearish Conditions: Differentiates between bullish and bearish trends, providing visual cues for potential trade opportunities.
Background Color Coding:
Timeframe-Based Coloring: Changes the chart's background color based on the selected timeframe (e.g., yellow for 1-minute, blue for 5-minute), offering an immediate visual reference for the current trading context.
Usage Benefits:
Holistic Market Analysis: Combines technical indicators with fundamental metrics to provide a well-rounded view of stock performance.
Enhanced Decision-Making: Helps traders identify trends, volatility, and potential trade triggers, facilitating informed trading strategies.
Visual Clarity: Employs color-coded elements and a comprehensive data table to simplify complex data, making it easier to interpret market conditions at a glance.
Customization: Offers flexibility in selecting which VWAPs to display and allows for adjustments based on different timeframes and trading preferences.
Efficiency in Monitoring: The dynamic background and color-coded table enable quick assessments, saving traders time and enhancing responsiveness to market changes.
"Another Brian" is an invaluable tool for traders seeking to integrate multiple analytical perspectives into their trading routine. By providing deeper market insights through its unique combination of technical and fundamental metrics, along with intuitive visual cues, "Another Brian" empowers traders to make more informed and strategic decisions in the dynamic stock market environment.
Earnings Master (EM) V1.0
Earnings Master (EM)
As an Investor/ Trader, while analysing the tradingview charts, he/she may quickly like to see some of the fundamental data like the financial health of the company which may help to shortlist the list of stocks to pick.
It will be great if he can see the last few quarters or years earnings, to make informed decisions based on detailed financial data.
A person may be interested to see the last few quarters sales data, Profit data, EPS, etc.
Normally he/she has to go to some other fundamental websites to see these data, which will be highly time consuming and a hectic process if he is going through hundreads of charts per day.
Thanks for our new Indicator Earnings Master (EM). This indicator is designed to provide detailed financial insights into a company's performance by displaying key financial metrics such as Profit After Tax (PAT), Operating profit margin (OPM), Earnings Per Share (EPS), Total Revenue etc.
The indicator also calculates and visualizes the percentage changes in these metrics over different quarters, offering a comprehensive view of the company's financial health.
Also it provides sector/Industry details and percentage up from 52-week low and down from 52-week high
Features:
Table Display:
A customisable table that can be viewed in both Dark and light themes
A customisable table that can be positioned in various locations on the chart (e.g., top left, top center, bottom right, etc.).
Color-coded values to indicate positive and negative changes in financial metrics.
Dynamic text size and color for better readability.
Financial Metrics:
PAT (Profit After Tax): Displays the PAT values for the current and previous quarters.
Industry and Sector: Displays the industry and the particular sector of the company
EPS (Earnings Per Share): Displays the EPS values for the current and previous quarters.
Total Revenue: Shows revenue values in crores (Cr) for multiple quarters.
Free Float: Represents the number of freely floating shares.
Quarter-over-Quarter (QoQ) Change: Computes the percentage change in PAT and sales for different quarters.
Sales in Crores: Displays sales values in crores (Cr) and calculates the QoQ changes.
Operating profit margin (OPM): which is a financial ratio that measures how much profit a company makes on sales after paying variable production costs
Inputs
User inputs for table position, Dark mode , and calculation periods for earnings.
- Option to show/hide Borders
Also can customise the indicator to show/hide the following table fields
- Show Sector
- Show Mcap/ Free Float Mcap?
- Show Earnings
- Show 52w High/Low stats
How to Use:
Add the Earnings Master indicator to your TradingView chart.
Customize the table position and color mode as per your preference.
Analyze the displayed financial metrics and percentage changes to gain insights into the company's performance.
Use the color-coded values to quickly identify significant changes and trends in PAT, EPS, revenue, and other key metrics.
Example Output:
In Quarter Ended mode the table will display the following fields
Quarter Ended period values
PAT Quarterly values
PAT YoY in percentage
PAT QoQ in percentage
Quarterly Sales values
Sales YoY in percentage
Sales QoQ in percentage
EPS values
EPS YoY in percentage (Option available to show/hide)
EPS QoQ in percentage (Option available to show/hide)
Price To Earnings (P/E) ratio
Operating profit margin (OPM)
In Year Ended mode the table will display the following fields
Year Ended period values
PAT Quarterly values
PAT YoY in percentage
Yearly Sales values
Sales YoY in percentage
EPS values
Price To Earnings (P/E) ratio
Price To Earnings (P/E) ratio YoY in percentage
Operating profit margin (OPM)
LRSI-TTM Squeeze - AynetThis Pine Script code creates an indicator called LRSI-TTM Squeeze , which combines two key concepts to analyze momentum, squeeze conditions, and price movements in the market:
Laguerre RSI (LaRSI): A modified version of RSI used to identify trend reversals in price movements.
TTM Squeeze: Identifies market compressions (low volatility) and potential breakouts from these squeezes.
Functionality and Workflow of the Code
1. Laguerre RSI (LaRSI)
Purpose:
Provides a smoother and less noisy version of RSI to track price movements.
Calculation:
The script uses a filtering coefficient (alpha) to process price data through four levels (L0, L1, L2, L3).
Movement differences between these levels calculate buying pressure (cu) and selling pressure (cd).
The ratio of these pressures forms the Laguerre RSI:
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LaRSI = cu / (cu + cd)
The LaRSI value indicates:
Below 20: Oversold condition (potential buy signal).
Above 80: Overbought condition (potential sell signal).
2. TTM Squeeze
Purpose:
Analyzes the relationship between Bollinger Bands (BB) and Keltner Channels (KC) to determine whether the market is compressed (low volatility) or expanded (high volatility).
Calculation:
Bollinger Bands:
Calculated based on the moving average (SMA) of the price, with an upper and lower band.
Keltner Channels:
Created using the Average True Range (ATR) to calculate an upper and lower band.
Squeeze States:
Squeeze On: BB is within KC.
Squeeze Off: BB is outside KC.
Other States (No Squeeze): Neither of the above applies.
3. Momentum Calculation
Momentum is computed using the linear regression of the difference between the price and its SMA. This helps anticipate the direction and strength of price movements when the squeeze ends.
Visuals on the Chart
Laguerre RSI Line:
An RSI indicator scaled to 0-100 is plotted.
The line's color changes based on its movement:
Green line: RSI is rising.
Red line: RSI is falling.
Key levels:
20 level: Oversold condition (buy signal can be triggered).
80 level: Overbought condition (sell signal can be triggered).
Momentum Histogram:
Displays momentum as histogram bars with colors based on its direction and strength:
Lime (light green): Positive momentum increasing.
Green: Positive momentum decreasing.
Red: Negative momentum decreasing.
Maroon (dark red): Negative momentum increasing.
Squeeze Status Indicator:
A marker is plotted on the zero line to indicate the squeeze state:
Yellow: Squeeze On (compression active).
Blue: Squeeze Off (compression ended, movement expected).
Gray: No Squeeze.
Information Table
A table is displayed in the top-right corner of the chart, showing closing prices for different timeframes (e.g., 1 minute, 5 minutes, 1 hour, etc.). Each timeframe is color-coded.
Alerts
LaRSI Alerts:
Crosses above 20: Exiting oversold condition (buy signal).
Crosses below 80: Exiting overbought condition (sell signal).
Squeeze Alerts:
When the squeeze ends: Indicates a potential price move.
When the squeeze starts: Indicates volatility is decreasing.
Summary
This indicator is a powerful tool for determining market trends, momentum, and squeeze conditions. It helps users identify periods when the market is likely to move or remain stagnant, providing alerts based on these analyses to support trading strategies.
Automatic Fibonacci Levels with EMAAutomatic Fibonacci Levels with EMA
Description:
This script automatically calculates and displays Fibonacci retracement levels based on the highest and lowest prices over a dynamic lookback period. The Fibonacci levels are recalculated on every bar to adapt to price changes, providing an ongoing analysis of key support and resistance areas.
The Fibonacci levels are dynamically colored to reflect the trend direction, determined by the position of the price relative to the Exponential Moving Average (EMA). When the market is in an uptrend (price above EMA), Fibonacci levels are displayed in green, and in a downtrend (price below EMA), they are shown in red. This color coding helps traders quickly identify the current market direction.
Key Features:
Dynamic Fibonacci Levels: Automatically adjusts Fibonacci retracement levels based on recent price action, recalculated with each new bar.
EMA Trend Confirmation: The trend is confirmed by the position of the price relative to the 20-period EMA. Fibonacci levels are color-coded to reflect this trend.
Customizable Lookback Period: Adjust the base lookback period (default 50) and scale it according to your preferred timeframe for more or less sensitivity to recent price action.
Flexible Fibonacci Duration: The Fibonacci levels remain on the chart for a customizable duration (default 2 bars), allowing for visual clarity while adapting to new price action.
Timeframe Scaling: The script automatically adjusts the lookback period based on a scaling factor, making it suitable for different timeframes.
How to Use:
Use the Fibonacci levels to identify potential support and resistance zones based on the market's current price range.
Combine the trend color coding with your own strategy to enhance decision-making, whether for long or short entries.
Adjust the Lookback Period and Fibonacci Duration based on your trading style and timeframe preferences.
This script provides an automatic and customizable way to visualize Fibonacci retracements in a dynamic manner, helping traders make informed decisions based on trend direction and key price levels.
Note: As with any trading tool, always use proper risk management and test the script before using it in live trading.
ds-Income Statement Analyzer for TradersPURPOSE: Identifies trends in Revenue, Margins, and Earnings (RME), providing a quick indication of areas that may warrant further focus.
FOCUS:
This tool focuses exclusively on quarterly data, making it especially useful for traders who follow the styles of William O'Neil, Mark Minervini, and David Ryan. Built on the concept that fundamental trends support technical price trends, this indicator is designed to assist swing and position traders in analyzing income statements by highlighting recent trends in revenue, margins, and earnings. It requires three quarters of data to establish a trend, emphasizing the last three quarters. Tools and indicators should 'tell something useful,' and in this case, the tool reveals whether revenue, margins, and earnings are expanding, contracting, or remaining flat, as well as whether these movements are accelerating or decelerating. Finally, built-in logic offers an at-a-glance interpretation of whether a stock warrants closer examination of its fundamental and technical data.
SETTINGS:
# Qtrs to Include: Allows you to select how many quarters of available data to display. (5-16)
Size: Allows you to adjust the size of the displayed table.
KPI Data Text Size: Allows you to adjust the size of the text in the KPI Row. Some text here is more verbose than others.
Position: Allows you to position the table.
Show Minervini 2Qtr Avgs.?: Hover of the “i” in settings for explanation.
Show Estimates vs Actuals?: Hover of the “i” in settings for explanation.
Emphasized Data Only in Headline Indicator?: Hover of the “i” in settings for explanation.
TABLE SECTIONS
Vertically: The table is divided into three sections: Revenues, Profit Margins, and Earnings.
Horizontally:
The top row contains section headers and key information.
The second row includes column headers and summary indicator symbols.
The main body displays quarterly data, with a default of 5 quarters and a maximum of 16.
Analysis sections include 3Q Trend, KPI, and ATH.
The bottom row shows the version number and provides a column symbol indicator for each data column.
TABLE - TOP ROW (Left to Right):
SYM: Displays the symbol being viewed.
Qtrs Avail: Shows the quarters of data available from TradingView, typically up to a maximum of 32 quarters, or 8 years. If this displays less than 8 years, the company is relatively young.
REVENUES: Header label for the Revenues section. To its right is a symbol that indicates the worst case from the bottom row of symbols, based on your settings.
PROFIT MARGINS: Header label for the Profit Margins section. To its right is a symbol that indicates the worst case from the bottom row of symbols, based on your settings.
EARNINGS: Header label for the Earnings section. To its right is a symbol that indicates the worst case from the bottom row of symbols, based on your settings.
TABLE - HEADER ROW:
This row displays the column header labels. Note the Emphasized column headers “yellow text” highlight the most important column data “Rev Actual ($)”, “Rev YoY Qtr Chg (%)”, “Net Margin (NM) (%)”, “NP YoY Qtr Chg (%)”, “EPS YoY Qtr Chg (%)”. This can be modified in the settings. If you hover over the header, a label will pop up to provide more details.
TABLE BODY ROWS: Shows up to 16 rows of quarterly data.
A black or blank background cell without text indicates that data is unavailable from TradingView. Green text shows a value higher than the prior quarter, while red text shows a value lower than the prior quarter, allowing you to quickly spot trends within each data column. A yellow background highlights cells with negative values, marking them as unfavorable. The yellow cells indicate data points that ideally should not be negative.
ANAYSIS ROWS: Shown with brown background.
3Q TREND: Analyzes the last three quarters of data in each column to determine if the trend is rising, falling, or flat.
KPI: Key Performance Indicator. Highlights critical information, such as whether the current quarter is an all-time high (ATH), momentum (MOM) is sideways or accelerating upward, or percentage margins have fallen below all-time highs. You may sometimes see "struct." in the cell here which indicates there is a structural issue. e.g., Net Margin is higher than Operating, EBITDA, or Gross Margin. This might reflect a one-time event that boasted earnings and is worth investigating.
ATH: All-time-high value. If KPI shows ATH then the value in this cell should be equal to the most recent quarters value.
TABLE - BOTTOM ROW (Left to Right):
Version Number: Displays the version number of the indicator code.
Column-Specific Symbol Indicator: Shown at the bottom of each column, this indicator assesses the data in that column for trends, performance, and other factors.
Symbols include:
Green Checkmark: Indicates acceptable performance.
Yellow Triangle: Suggests caution; a closer inspection of this column's data may be warranted.
Orange Diamond: Signals extreme caution, more serious than the Yellow Triangle but not as critical as a Red Flag.
Red Flag: Warns of undesirable performance characteristics associated with this column's data, indicating potential danger.
Minervini CODE33 from Trade Like a Stock Market Wizard
Code 33 situation, three quarters of acceleration in earnings, sales, and profit margins. This can be observed in this indicator by focusing on the “Rev YoY Qtr Chg (%)”, “Net Margin (NM) (%)”, “EPS YoY Qtr Chg (%)” looking for the green text in the last two quarters of data. Remember green text simply indicates the value is greater than the prior value. Note I have chosen not to represent the “Net Margin (NM) (%)” as a Year-over-Year (YoY) figure. If you wish to see the bottom line represented as a YoY, you can approximate that by using the “NP YoY Qtr Chg (%)”.
Minervini Smoothing Volatility: Quarterly financial results can be volatile. By averaging the earnings, sales, or other key financial metrics over the last two quarters, Minervini aims to reduce the impact of any one-off events or seasonal fluctuations, providing a more stable view of the company's operational performance. In this indicator I incorporated it for “Rev 2Qtr Chg (%)” and “NP 2Qtr Avg Chg (%)” which averages the last two quarters of Quarter-over-Quarter (QoQ) change.
4-Frame Trend CountThis script tracks the current close vs the close from 4 time frames prior to spot a trend reversal after 9 consecutive up or down moves.
Quantum Transform - AynetQuantum Transform Trading Indicator: Explanation
This script is called a "Quantum Transform Trading Indicator" and aims to enhance market analysis by applying complex mathematical models. Written in Pine Script, the indicator includes the following elements:
1. General Structure
Quantum Parameters: Inspired by physical and mathematical concepts (Planck constant ℏ, wave function Ψ, time τ, etc.), it uses specific parameters.
Transformation Functions: Applies various mathematical operations to transform price data in different ways.
Signal Generation: Produces signals for long and short positions.
Visualization: Displays different price transformations and signals on the chart.
2. Core Parameters
The parameters allow users to control various transformations:
Planck Constant (ℏ): A scaling factor for wave modulation.
Wave (Ψ): Controls oscillation in price data.
Time (τ): The length of the lookback period for calculations.
Relativity (γ): Power factor in the Lorentz transformation.
Phase Shift (β): Manages phase shift in transformations.
Frequency (ω): Represents the frequency of price movements.
Dimensions (∇): Enables multi-dimensional field analysis.
3. Functions
a) Relativistic Transform
Inspired by the theory of relativity.
Calculates the Lorentz factor using the rate of price change.
Transforms price data to amplify the relativity effect.
b) Phase Transform
Calculates the phase of price data and applies wave modulation.
Creates phase and amplitude modulation based on the bar index.
c) Resonance Transform
Calculates resonance effects using natural frequency and oscillations.
Highlights periodic behaviors of price movements.
d) Field Transform
Applies multi-dimensional field calculations.
Combines strength, wave, and coherence aspects of price data.
e) Chaos Transform
Implements a chaos effect based on sensitivity analysis.
Simulates chaotic behaviors of price movements.
4. Main Calculations
Quantum Price: The average of all transformation functions.
Bands:
Upper Band: The highest level of quantum price.
Lower Band: The lowest level of quantum price.
Mid Band: The average of upper and lower bands.
Momentum: Calculates the rate of change in quantum price.
5. Signal Generation
Long Signal:
Triggered when the phase price crosses above the field price.
Momentum must be positive, and the price above the mid-band.
Short Signal:
Triggered when the phase price crosses below the field price.
Momentum must be negative, and the price below the mid-band.
Signal strength is calculated relative to the momentum moving average.
6. Visualization
Each transformation is displayed in a unique color.
Bands and Momentum: Visualize price behavior.
Signal Icons: Show buy/sell signals using up/down arrows on the chart.
7. Information Panel
A table in the top-right corner of the chart displays:
The current values of each transformation.
Signal strength (as a percentage).
The type of signal (⬆: Long, ⬇: Short).
Applications
Trend Following: Analyze trends with complex transformations.
Resonance and Chaos Analysis: Understand dynamic behaviors of price.
Signal Strategies: Create strong and reliable buy/sell signals.
If you have any additional questions or customization requests regarding this indicator, feel free to ask!
MicroStrategy Bitcoin Premium v2 [Kendrick_Chan]In 2020, MicroStrategy, under the leadership of CEO Michael Saylor, began purchasing large amounts of Bitcoin to hedge against inflation and diversify its corporate treasury. This move transformed MicroStrategy into one of the largest corporate holders of Bitcoin, with the company continually increasing its holdings through additional purchases funded by issuing new shares and convertible bonds.
The MicroStrategy Bitcoin Premium indicator is a dynamic tool that underscores the enthusiasm of equity market investors to gain Bitcoin exposure through MicroStrategy's (MSTR) stock. This indicator measures the premium investors are willing to pay for MSTR shares relative to the company's Bitcoin and cash holdings, reflecting the traditional market's eagerness to hold Bitcoin indirectly.
How Does It Work:
When MicroStrategy issues convertible bonds, cash level increases and all CB are assumed to convert to stocks diluting the shares.
In case of sales of MSTR new shares, cash level increases and diluted shares are adjusted tentatively before the quarterly financial reports.
In the event of Bitcoin purchases, the Bitcoins holding increases while cash level decreases.
Premium = Assumed Diluted Market Cap / ( Bitcoins Value + Cash and Cash Equivalents ) - 100%
How To Use:
By understanding and utilizing the MicroStrategy Bitcoin Premium indicator, traders and investors can make more informed decisions, whether they are swing trading MSTR, gauging Bitcoin demand, or seeking arbitrage opportunities.
1. MSTR Swing Traders
Swing traders can leverage the indicator to identify potential MSTR entry and exit points based on the overbought or oversold conditions of the stock.
2. Bitcoin Investors and Traders
The premium indicator can serve Bitcoin investors as a proxy for gauging overall market demand. A high premium indicates strong demand for Bitcoin exposure through MSTR, reflecting broader market enthusiasm for Bitcoin. A low premium suggests reduced demand.
Bitcoin traders may also anticipate the Bitcoin demand driven by MicroStrategy:
a) Shen the premium is high, MicroStrategy could issue new shares or convertible bonds to raise funds and buy more Bitcoins.
b) Arbitrageurs might also short sell MSTR and buy the equivalent Bitcoins.
3. MSTR-Bitcoin Arbitrageurs
Arbitrage traders can use the premium indicator to exploit price discrepancies between MSTR stock and Bitcoin. This strategy profits from any convergence between the stock price and the value of the underlying Bitcoin holdings.
The indicator helps identify optimal times to enter and exit arbitrage positions, minimizing risk and maximizing potential returns by capitalizing on market inefficiencies.
Crypto Index Creator (MEMES & AI Supercycle Dominance, etc)This indicator aims to help to create any INDEX desired including but not limited to its Market Cap and Dominance on the crypto market.
This script was inspired originally by Murad's "Memecoins Dominance" but then I extended it to AI and can be extended to anything in fact, so you can create any index!
I made each token entry editable so that the script can survive the evolution of time as likely projects and INDEXES are going to change a lot, so that you can add/modify your own indices of preference if not listed by default and in order to make it future proof.
You can play with the settings, can compare to BTC, ETC, SOL, etc. for helping in your studies
You also have the option to check the info of each symbol on a table available on the settings, in order to help you figure out if there are any errors and also help you to easily check how the symbols are performing individually
Notes:
- Many projects are not like MEMECOINS that have fixed supply, normally VC projects have a very variable circulating supply, so you might want to update the info of the circulating supply for your projects to make it more accurate if you desire.
- For this script there is a limit of 32 Symbols, due to tradingview own limits, yet you can always "add" multiple projects per line as long as their circulating supply is the same.
- You might want to edit/sort the tickers of the top3, top5 and top10 if they follow bellow those top ranks, but this is not necessary if you don't care about Top 3-10 specific calculations.
- My default "indices" were made of token selections of mine as of November 2024, those defaults indices/tickers I might or might not update them eventually but you are free to adapt/modify the tickers in the settings as history evolves, and you can leave your own indexes on the comment section of this post for others to use
- As you might not be able to create/store multiple different indexes at the same time, you might want to add this indicator multiple times on your screen and then modify the tickers of each instance of this indicator, by that you can have multiple indexes.
Divides company with IndexOverview:
This indicator simplifies the comparison of a stock's performance against a specified index, such as the Nifty 50. By calculating and plotting the ratio between the two, it provides a clear visual representation of relative strength.
Key Features:
-Direct Comparison: Easily compare any stock against a selected index.
-Customizable Index: Choose from a dropdown menu or input a custom index symbol.
-Visual Clarity: Maximizing the chart provides a clear view of the relative performance.
-SMA Overlay: Add a Simple Moving Average (SMA) to identify trends and potential entry/exit
points.
-Customizable Appearance: Adjust background color, text color, and label size for personalized
visualization.
How to Use:
Add the Indicator: Add the indicator to your chart.
Select the Index: Choose the desired index from the dropdown menu or input a custom symbol.
Analyze the Ratio:
-A rising ratio indicates the stock is outperforming the index.
-A falling ratio suggests underperformance.
-The SMA can help identify potential trends and momentum.
Customize the Appearance: Adjust the background color, text color, and label size to suit your preferences.
Benefits:
-Improved Decision Making: Gain insights into a stock's relative strength.
-Faster Analysis: Quickly compare multiple stocks against a benchmark index.
-Enhanced Visualization: Customize the chart for better understanding.
-By leveraging this indicator, you can make informed trading decisions and gain a deeper
understanding of market dynamics.
