Valuation MetricValuation Metric Indicator
The Valuation Metric Indicator provides a comprehensive tool for evaluating price dynamics in relation to a moving average and standard deviation. It combines the power of statistical analysis with clear visualizations to help traders assess market valuation levels and potential overbought or oversold conditions.
Key Features:
Z-Score Calculation:
Displays the Z-score of the price relative to the moving average, normalized by standard deviation.
Z-score is clamped within the range of -3 to +3 to focus on significant deviations.
Standard Deviation Bands:
Plots bands at 1x, 2x, and 3x standard deviations above and below the moving average.
Helps identify areas of extreme overvaluation or undervaluation.
Dynamic Valuation Table:
Displays the current Z-score and provides a textual assessment of the market's valuation:
Overvalued
Slightly Overvalued
Neutral
Slightly Undervalued
Undervalued
Background color dynamically changes based on the valuation.
Customizable Background Signals:
Optional background highlighting for "Top Signal" (overvaluation) and "Bottom Signal" (undervaluation).
Configurable Display:
Users can toggle the visibility of standard deviation bands and background signals to fit their preferences.
Color-Coded Visualization:
Uses gradient-based color coding for Z-scores and standard deviation bands, improving readability and decision-making.
Analisis Fundamental
InspireHER Dynamic EMA RR Positioning IndicatorDynamic EMA and RR Positioning Indicator
This indicator is designed to provide traders with highly customizable buy and sell signals based on EMA (Exponential Moving Average) crossovers and Risk-to-Reward (RR) ratios. It works on any timeframe and allows users to toggle price data and additional position boxes for visualizing trade setups. Additionally, traders can choose between displaying dots or labeled signals for buy/sell indicators, making this tool versatile and user-friendly for different preferences and strategies.
What Makes This Indicator Unique
Customizable Parameters: The script offers extensive options for tailoring the indicator to your preferred trading style and strategy:
EMA: Configurable through settings (default is a 21-period EMA).
Risk-to-Reward Ratio (RR): Adjustable to meet your desired RR levels (default is 1:2.5).
Lookback Period: Visualizes buy/sell signals over the last six months.
Position Boxes for Trade Visualization: The indicator can "draw" position boxes on the chart, showing potential entry points, stop-loss (SL), and take-profit (TP) levels based on the selected RR. These visual aids simplify decision-making and help evaluate trade opportunities directly on the chart.
Price Data Toggle: Traders can choose to view or hide price data related to trade signals, including TP, SL, and RR values. By default, this is turned off to maintain a clean chart but can be activated when needed.
Flexible Signal Display Options:
Dots Mode: Displays buy signals as green dots and sell signals as red dots on the chart.
Label Mode: Displays buy signals as labels with the word "Buy" in green and sell signals as labels with the word "Sell" in red.
This toggle allows traders to customize how signals are displayed for a more personalized trading experience.
Simple Signal View: A toggle option provides a cleaner chart by enabling or disabling additional visual elements like circles or labels.
How It Works
Buy Signal: Triggered when the price crosses the EMA and closes above it.
Entry: Top of the candle.
Stop-Loss: Bottom of the candle.
Take-Profit: Calculated based on the selected RR.
Sell Signal: Triggered when the price crosses the EMA and closes below it.
Entry: Bottom of the candle.
Stop-Loss: Top of the candle.
Take-Profit: Calculated based on the selected RR.
Default Settings
EMA: 21-period.
Risk-to-Reward Ratio: 1:2.5.
Price Data: Off (can be toggled on in settings).
Position Boxes: Off (can be toggled on in settings).
Signal Display: Labels mode with "Buy" (green) and "Sell" (red) enabled by default; can be toggled to Dots mode.
Timeframe: Any timeframe supported.
How to Use
Add the Indicator to Your Chart: Once applied, the EMA line and buy/sell signals will appear by default.
Customize Settings: Navigate to the indicator's settings to adjust EMA, RR, or enable/disable Price Data, Position Boxes, or switch between Dots and Label modes.
Trade with Confidence: Use the visual aids and signals to assess trade opportunities based on your strategy and timeframe.
This indicator combines the reliability of EMA-based signals with the flexibility of configurable RR, visual trade setups, and multiple signal display options, making it a powerful tool for all types of traders. Happy Trading!!
Asset Correlation CheckThis indicator evaluates how your current chart symbol interacts with key markets such as stock indices NASDAQ:NDX SP:SPX AMEX:IWM XETR:DAX PEPPERSTONE:CN50 , commodities CAPITALCOM:GOLD CAPITALCOM:SILVER , bonds NASDAQ:TLT NASDAQ:SHY , and cryptocurrencies BINANCE:BTCUSD , and displays the results in a compact, interactive table. It allows you to adjust the analysis period and select one of three correlation calculation methods (Index, Relative, and Beta) to gain different perspectives on the relationships between assets.
Index Correlation
Advantages: Provides a classic statistical correlation value, making it easy to understand overall directional alignment.
Drawbacks: Less reliable for highly volatile or short-term conditions, as temporary spikes can distort the correlation.
When to use: Ideal if you want a clear overview of whether two markets generally move together, for example to assess diversification effects.
Relative Correlation
Advantages: Focuses on percentage changes rather than absolute prices, offering a more dynamic view of short-term shifts.
Drawbacks: More prone to noise due to emphasizing daily or intra-period fluctuations.
When to use: Useful for timing-sensitive strategies, helping you quickly identify if one asset consistently outpaces or lags another in the short run.
Beta Correlation
Advantages: Examines how strongly one asset responds to changes in another, factoring in volatility and sensitivity, helpful for risk profiling.
Drawbacks: More abstract since it does not convey simple directional similarity but how intensely an asset reacts to market movements.
When to use: Ideal if you need to understand how a security may amplify or dampen broader market-level shifts, aiding in portfolio risk management.
Additionally, a Bull-Market Filter narrows the analysis to upward-trending phases, potentially delivering more meaningful insights. The indicator also computes average correlation values over your selected period, so you are not misled by brief fluctuations. It shows the percentage of positive versus negative readings to reveal if markets generally move in tandem or counter to each other.
For stock pickers, this tool is particularly valuable. It helps determine whether individual equities follow broader market forces, move with specific sectors, or behave independently. With this knowledge, you can refine stock selection, balance sector exposures, and seek opportunities that complement existing positions.
The indicator also facilitates the detection of patterns and anomalies, enabling early recognition of shifts in sentiment or new trend impulses. By visualizing how benchmarks, commodities, bonds, and digital assets relate, you gain deeper insight into key drivers that influence your investments.
Regarding rapid changes in correlation, keep in mind that correlation can frequently flip between positive and negative. Such volatility can create confusion if you rely on single readings. One moment, two assets may seem perfectly aligned; the next, they diverge. This does not necessarily indicate a lack of an underlying pattern; short-term factors can distort the picture. By looking at averages and the frequency of positive and negative occurrences, you confirm whether a correlation trend is genuine or simply a result of temporary noise. In other words, these additional metrics ensure that short-lived swings do not overshadow the true, longer-term relationship between the assets.
In essence, this indicator condenses complex intermarket analysis into a practical resource. By leveraging its insights, you can make data-driven decisions, adapt strategies to evolving market conditions, and lay a stronger foundation for long-term trading success.
Tomas' Financial Conditions Z Score"The indicator is a composite z-score comprised of the following four components (equally-weighted):
Credit spreads - ICE BofA High Yield Option Adjusted Spread (BAMLH0A0HYM2) and ICE BofA Corporate Index Option Adjusted Spread (BAMLC0A0CM)
Volatility indexes - VIX (S&P 500 implied volatility) and MOVE (US Treasury bond implied volatility)
I've got it set to a 160-day lookback period, which I think is roughly the best setting after some tinkering.
When the z-score is above zero, it throws a red signal - and when the z-score is below zero, it throws a green signal.
This indicator is a follow-on from the "traffic light financial conditions indicator" that I wrote a thread about a couple of months ago.
I moved on from that previous indicator because it is based on the Federal Reserve's NFCI, which is regularly revised, but I didn't take that into account at the time.
So not a great real-time indicator, if the signal can be subsequently revised in the opposite direction weeks later.
This new indicator is based on real-time market data, so there's no revisions, and it also updates daily, as opposed to weekly for the NFCI"
US Recessions OverlayThe US Recessions Overlay indicator highlights the periods of US economic recessions directly on your TradingView chart. Using historical data from the Great Depression to the present, it provides a visual representation of recessions as transparent red backgrounds. This can help traders and analysts correlate market movements with historical economic downturns.
Features:
- Displays US recessions since the Great Depression (1929) as shaded areas.
- Automatically adjusts the background shading to match the date ranges of historical recessions.
- A simple and effective way to observe market behavior during recessionary periods.
- Fully customizable to include new recession periods or modify transparency levels.
How to Use:
Apply the indicator to any chart. Recession periods will appear as red-shaded backgrounds, providing a clear visual cue for market behavior during those times.
Use Case:
Ideal for traders, economists, and market historians who wish to study the impact of recessions on financial markets.
skX_ALT_EMAs Enhanced [1H]An advanced EMA crossover system with dynamic ATR-based risk management, designed
for altcoin trading on the 1H timeframe. Combines trend following with momentum
and volume filters.
CORE COMPONENTS:
1. EMA System:
- 8 EMA (Fast): Primary signal line
- 21 EMA (Medium): Crossover reference
- 55 EMA (Slow): Trend filter
2. Multiple Filters:
- RSI (14): Prevents overbought/oversold entries
- Volume: Optional volume confirmation
- Trend Strength: EMA alignment check
3. Risk Management:
- Dynamic SL: Based on ATR (Average True Range)
- Dynamic TP: Risk:Reward based calculation
- Position entry markers
ENTRY CONDITIONS:
LONG:
- 8 EMA crosses above 21 EMA
- All EMAs aligned bullish (8 > 21 > 55)
- Price above 8 EMA
- RSI below 70 (not overbought)
- Optional: Volume > 1.5x average
SHORT:
- 8 EMA crosses below 21 EMA
- All EMAs aligned bearish (8 < 21 < 55)
- Price below 8 EMA
- RSI above 30 (not oversold)
- Optional: Volume > 1.5x average
RECOMMENDED SETTINGS:
- Timeframe: 1H
- ATR Period: 14
- ATR Multiplier: 1.5
- Risk:Reward: 2.0
- RSI Filter: ON
- Volume Filter: Optional (ON for low liquidity pairs)
VISUAL SIGNALS:
- Green Triangle: Long entry
- Red Triangle: Short entry
- Blue Line: Entry price
- Red Line: Stop Loss
- Green Line: Take Profit
- EMA Colors: Blue/Red for trend direction
EMA SCALPING SUITE v1.0 [1M-5M]EMA SCALPING SUITE v1.0
A scalping indicator designed for quick entries on lower timeframes, combining EMA
stacks with volume confirmation and automatic risk management levels.
CORE FEATURES:
1. EMA Stack System:
- 50 EMA (Blue): Fastest trend
- 100 EMA (Yellow): Entry trigger line
- 150 EMA (Orange): Stop loss reference
- 200 EMA (Red): Base trend
2. Entry System:
- LONG: When price dips to 100 EMA during bullish fan
- SHORT: When price rises to 100 EMA during bearish fan
- Signals shown as triangles at entry points
3. Risk Management:
- Auto Stop Loss: 150 EMA (red line)
- Auto Take Profit: Based on RR ratio (green line)
- Entry Price Marker: Current close (blue line)
4. Volume Confirmation:
- High volume dots (>1.5x average)
- Filters out weak signals
- Adjustable sensitivity
HOW IT WORKS:
1. Wait for EMAs to fan out (trend alignment)
2. Look for price to touch 100 EMA
3. Check for volume confirmation
4. Enter when signal appears
5. Use auto-generated SL and TP levels
BEST TIMEFRAMES:
- Primary: 1 minute
- Secondary: 3-5 minutes
- Not recommended: >15 minutes
RECOMMENDED SETTINGS:
- Volume Filter: ON
- Volume Multiplier: 1.5
- Risk:Reward: 1.5
Crypto Sectors Performance [Daveatt]IMPORTANT
⚠️ This script must be used on the Daily timeframe only.
OVERVIEW
This indicator brings the powerful sector analysis capabilities from velo.xyz/market's
Sector Performance chart to TradingView.
It enables traders to track and compare performance across the crypto market's major sectors, providing essential insights for sector rotation strategies and market analysis.
CALCULATION METHOD
The indicator calculates performance across six key crypto sectors: DeFi, Gaming, Layer 1s, Layer 2s, AI, and Memecoins.
For each sector, it computes a rolling percentage performance by averaging the performance of multiple representative tokens.
All sector performances are rebased to 0% at the start of each period, making relative comparisons clear and intuitive.
VISUALIZATION MODES
The script features two distinct visualization methods:
Plots Mode:
Displays continuous performance lines for each sector over time, ideal for tracking relative strength trends and sector momentum. Each sector has its own color-coded line with performance values clearly marked.
Bars Mode:
Presents current sector performance as vertical bars, offering an immediate visual comparison of sector gains and losses.
The bars are color-coded and labeled with exact percentage values for precise analysis.
For the "Bars Mode", I used the box.new() function
SECTOR COMPOSITION
Each sector comprises carefully selected representative tokens:
- DeFi: AAVE, 1INCH, JUP, MKR, UNI
- Gaming: GALA, AXS, RONIN, SAND
- Layer 1: BTC, ETH, AVAX, APT, SOL, BNB, SUI
- Layer 2: ARB, OP, ZK, POL, STRK, MNT
- AI: FET, NEAR, RENDER, TAO
- Memecoins: PEPE, BONK, SHIB, DOGE, WIFU, POPCAT
PERFORMANCE TRACKING
The indicator implements a rolling window approach for performance calculations.
Starting from 0% at the beginning of each period, it tracks relative performance with positive values indicating outperformance and negative values showing underperformance.
Multiple timeframe options (1W, 1M, 3M, 6M, and 1Y) allow for both short-term and long-term analysis.
APPLICATIONS
This tool proves invaluable for:
- Sector rotation analysis
- Identifying trending sectors
- Comparing relative strength
- Gauging market sentiment
- Understanding market structure through sector performance
Thanks for reading and for the support
Daveatt
Stablecoin Delta [SAKANE]Overview
Stablecoin Delta is an indicator designed to provide a detailed analysis of the market trends of major stablecoins (USDT and USDC). Stablecoins play a crucial role in supporting the liquidity of the cryptocurrency market, and fluctuations in their supply significantly impact the prices of Bitcoin and other cryptocurrencies.
This indicator leverages data from CryptoCap to visualize the daily changes in the market capitalization of stablecoins. Traders can use this tool to understand the effects of stablecoin supply fluctuations on the market in a timely manner, enabling more strategic investment decisions.
The key benefits include the ability to quickly monitor stablecoin supply changes, utilize this data as a supplementary tool for predicting Bitcoin price movements, and identify both short-term market movements and long-term trends. This indicator is valuable for traders of all levels, from beginners to seasoned professionals.
Features
- Support for USDT and USDC Market Cap
Monitor the market trends of these two major stablecoins using data from CryptoCap. Users can also choose to analyze only one of them.
- Daily Net Change Calculation
Calculates the daily change in market capitalization compared to the previous day, providing a clear view of trends.
- Flexible Smoothing Options
Apply either SMA or EMA smoothing for both the histogram and the line chart, based on user preference.
- Customizable Colors
Customize the colors for the histogram (positive/negative) and line chart for better visualization.
Visualization
- Histogram
Displays daily net changes as a histogram, with positive changes (green) and negative changes (red) clearly differentiated.
- Smoothed Line Chart
Provides a smoothed line chart to make trend identification easier.
Use Cases
- In-depth Analysis of the Cryptocurrency Market
The supply of stablecoins is a critical factor influencing the price of Bitcoin and other cryptocurrencies. This indicator helps traders understand overall market liquidity, enabling more effective investment decisions.
- Short-Term and Long-Term Strategy Development
Trends derived from stablecoin supply fluctuations are essential for traders to gauge short-term price movements and long-term market flows.
- Real-Time Market Adjustment
In times of sudden market shifts, this tool enables traders to quickly assess changes in stablecoin supply and adjust their positions accordingly.
Future Plans
- Additional stablecoins will be considered for inclusion if their market share grows significantly.
Disclaimer
- This indicator relies on data from CryptoCap. The results are subject to the accuracy and timeliness of the data and should be used as reference information only.
Combined Zero Lag EMA with Crosses | ASHGCombined Zero Lag EMA with Crosses
This indicator combines the power of Zero Lag Exponential Moving Averages (EMAs) with the widely used Golden Cross and Death Cross signals. It provides an efficient and precise trend-following tool for traders.
Key Features:
Short and Long Zero Lag EMAs: The indicator uses two Zero Lag EMAs with customizable periods (Short and Long). The short EMA is typically more responsive to price changes, while the long EMA smooths out price data, providing a broader trend perspective.
Golden Cross and Death Cross signals: The Golden Cross occurs when the short EMA crosses above the long EMA, indicating a potential bullish trend. The Death Cross occurs when the short EMA crosses below the long EMA, signaling a possible bearish trend.
Combined Zero Lag EMA: The average of the Short and Long Zero Lag EMAs gives a balanced view of the market's overall direction.
Plotting and Alerts: The indicator plots both the short and long Zero Lag EMAs, as well as the combined EMA, with visual cues for Golden and Death Crosses. Alerts can be set for when these crosses occur.
Use this indicator for clearer entry and exit points, helping you stay ahead of market movements.
This indicator is based on Kıvanç ÖZBİLGİÇ's "Zero Lag EMA v2" indicator.
tr.tradingview.com
Birleştirilmiş Zero Lag EMA ve Cross (Kesişim) Sinyalleri
Bu gösterge, Zero Lag (Sıfır Gecikmeli) Üssel Hareketli Ortalamaların (EMA) gücünü, yaygın olarak kullanılan Golden Cross (Altın Kesişim) ve Death Cross (Ölüm Kesişimi) sinyalleriyle birleştirir. Yatırımcılar için verimli ve hassas bir trend takip aracıdır.
Öne Çıkan Özellikler:
Kısa ve Uzun Zero Lag EMA: Gösterge, özelleştirilebilir periyotlarla iki Zero Lag EMA kullanır (Kısa ve Uzun). Kısa EMA, fiyat değişimlerine daha hızlı tepki verirken, uzun EMA fiyat verilerini düzleştirerek daha geniş bir trend perspektifi sunar.
Golden Cross ve Death Cross sinyalleri: Golden Cross, kısa EMA'nın uzun EMA'yı yukarı doğru kesmesiyle oluşur ve potansiyel bir yükseliş trendine işaret eder. Death Cross ise, kısa EMA'nın uzun EMA'yı aşağı doğru kesmesiyle oluşur ve düşüş trendi sinyali verir.
Birleştirilmiş Zero Lag EMA: Kısa ve uzun Zero Lag EMA'larının ortalaması, piyasanın genel yönünü dengeli bir şekilde gösterir.
Grafik ve Uyarılar: Gösterge, kısa ve uzun Zero Lag EMA'ları ile birleştirilmiş EMA'yı çizerek Golden Cross ve Death Cross sinyalleri için görsel uyarılar sağlar. Bu kesişimler gerçekleştiğinde alarm kurabilirsiniz.
Bu göstergeleri kullanarak, piyasa hareketlerinden önce net giriş ve çıkış noktaları belirleyebilir, böylece daha bilinçli kararlar alabilirsiniz.
Bu indikatör Kıvanç ÖZBİLGİÇ'in "Zero Lag EMA v2" indikatörünü temel alarak hazırlanmıştır.
tr.tradingview.com
FuTech : Earnings (All 269 Fundamental Metrics of Tradingview)FuTech : Earnings Indicator
The FuTech : Earnings Indicator is a revolutionary tool, offering the most comprehensive integration of all 269 fundamental financial metrics available from the TradingView platform.
This groundbreaking indicator is designed to empower financial researchers, traders, investors, and analysts with an unmatched depth of data, enabling superior analysis and decision-making.
Overview
"FuTech : Earnings Indicator" is the first-ever indicator to provide a holistic comparison of fundamental financial metrics for any stock, covering quarterly, yearly, and trailing twelve months (TTM) periods.
This tool brings together key financial data from income statements, balance sheets, cash flows, and other critical metrics found in company annual reports.
It also incorporates additional unique features like per-employee data, R&D expenses, and capital expenditures (CapEx), which are typically hidden within dense financial statements of Annual Reports.
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Key Features and Capabilities
1. Comprehensive Financial Metrics
- "FuTech : Earnings Indicator" offers access to all 269 fundamental metrics available on TradingView platform. This includes widely used data such as revenue, profit margins, and EPS, alongside more niche metrics like R&D expenditure, employee efficiency, and financial scores developed by renowned analysts.
- Users can explore income statement data (e.g., net income, gross profit), balance sheet items (e.g., total assets, liabilities), cash flow metrics, and other financial statistics such as Altman Score, per employee expenses etc. in unparalleled detail.
2. Comparison Across Time Periods
- "FuTech : Earnings Indicator" allows users to analyze data for:
- Quarterly periods (e.g., Q1, Q2, Q3, Q4).
- Yearly comparisons for a broad historical view.
- TTM analysis to observe the most recent trends and developments.
- Users can select a minimum of 4 periods up to an unlimited range for detailed comparisons in both quarter.
3. Dynamic Data Display
- Users can select up to 5 key metrics alongside the stock price column to focus their analysis on the most relevant data points.
- Highlighting with green and red symbols offers an intuitive and visual representation:
- Green : Positive trends or improvements.
- Red : Negative trends or deteriorations.
4. Automated Averages
- "FuTech : Earnings Indicator" automatically calculates averages of selected metrics across the chosen periods. This feature helps users quickly identify performance trends and smooth out anomalies, enabling faster and more reliable research.
5. Designed for Research Excellence
- FuTech serves a wide audience, including:
- Corporate finance professionals who need a deep dive into financial metrics.
- Individual investors seeking robust tools for investment analysis.
- Broking companies and equity research analysts performing stock analysis.
- Traders looking to incorporate fundamental metrics into their strategies.
- Technical analysts seeking a better understanding of price behavior in relation to fundamentals.
- Fundamental research aspirants who want an edge in their learning process.
6. Unmatched Detail for Deeper Insights
- By pulling all 269 Financial metrics from the TradingView, "FuTech : Earnings Indicator" enables:
- Cross-comparison of a stock’s performance with its historical benchmarks.
- Evaluation of rare data like R&D expenses, CapEx trends, and employee efficiency ratios for enhanced investment insights.
- This ensures users can study stocks in greater depth than ever before.
7. Enhanced Usability
- Simple to use and visually appealing, "FuTech : Earnings Indicator" is designed with researchers in mind.
- Its intuitive interface ensures even novice users can navigate the wealth of data without feeling overwhelmed.
Applications of FuTech : Earnings Indicator
FuTech : Earnings Indicator is incredibly versatile and has applications in diverse fields of financial research and trading:
1. Corporate Finance
- Professionals in corporate finance can leverage "FuTech : Earnings Indicator" to benchmark company performance, study efficiency ratios, and evaluate financial health across various metrics.
2. Investors and Traders
- Long-term investors can use the tool to study the fundamental strengths of a stock before making buy-and-hold decisions.
- Traders can incorporate "FuTech : Earnings Indicator" into their analysis to align comprehensive fundamental trends with their targeted technical signals.
3. Equity Research Analysts
- Analysts can streamline their workflows by quickly identifying trends, outliers, and averages across large datasets.
4. Education and Research
- "FuTech : Earnings Indicator" is ideal for students and aspiring financial analysts who want a practical tool for understanding real-world data.
How FuTech : Earnings Indicator Stands Out
1. First-Ever Integration of All Financial Metrics
- It's an exclusive tool which offers the ability to explore all 269 financial metrics available on TradingView for a single stock research in-depth for quarters, years or TTM periods.
2. Period Customization
- Users have complete flexibility to select and analyze data across any range of time periods, allowing for customized insights tailored to specific research goals.
3. Data Visualization
- The intuitive use of color-coded symbols (green for positive trends, red for negative) makes complex data easy to interpret at a glance.
4. Actionable Insights
- The automated average calculations provide actionable insights for making informed decisions without manual computations.
5. Unique Metrics
- Metrics such as research and development costs, CapEx, and per-employee efficiency data offer unique angles that aren’t typically available in traditional analysis tools.
Why to Use FuTech : Earnings Indicator ?
1. Boost Your Research Power
- With FuTech, you can unlock a world of data that gives you the edge in analyzing stocks. Whether you’re a seasoned analyst or a beginner, this tool offers something for everyone.
2. Save Time and Effort
- The automated features and intuitive interface eliminate the need for time-consuming manual calculations and formatting.
3. Make Better Decisions
- "FuTech : Earnings Indicator's" detailed comparison capabilities and insightful visual aids allow for more accurate assessments of a stock’s performance and potential.
4. Broad Appeal
- From individual investors to financial institutions, FuTech is a valuable tool for anyone in the world of finance.
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Conclusion
- The FuTech : Earnings Indicator is a must-have for anyone serious about financial analysis.
- It combines the depth of all 269 fundamental metrics with intuitive tools for comparison, visualization, and calculation.
- Designed for ease of use and powerful insights, FuTech : Earnings Indicator is set to transform the way financial data is analyzed and understood.
Thank you !
Jai Swaminarayan Dasna Das !
He Hari ! Bas Ek Tu Raji Tha !
Bitcoin Events HistoryWith this tool, you can travel back to Bitcoin’s very first price quote and retrace its entire history directly on your chart. Major events are plotted as labels or markers, providing context for how significant moments shaped Bitcoin’s journey.
Key Features
Comprehensive Event Coverage: From Bitcoin’s inception to the most recent updates.
Custom View: Change label colors, styles, sizes, and fonts using the script’s settings.
Regular Updates: New events are added regularly to keep the history current.
Replay History
Use Bar Replay Mode to step through Bitcoin’s price history and see events unfold in sequence.
Follow the on-screen instructions for a more immersive experience.
Community Contributions
If you notice a significant event missing or misplaced on a particular date, feel free to leave a comment! Your suggestions will be considered for the next update.
To all Bitcoin enthusiasts, traders, and anyone eager to explore the history of cryptocurrency from its inception, I hope you enjoy this indicator :)
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.
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.
