RSI and CMF V 1.0
Introduction: RSI and CMF
The Relative Strength Index (RSI) and Chaikin Money Flow (CMF) are two powerful tools for analyzing market behavior. Each serves a unique purpose and provides insights into different aspects of price action.
The RSI measures the speed and magnitude of price movements. By comparing recent gains to losses over a chosen period, it identifies overbought and oversold conditions in the market. RSI focuses solely on price and offers traders a quick glance at whether an asset is trending too high or too low relative to its recent performance.
On the other hand, the CMF evaluates market behavior by integrating both price and volume. It measures money flow to determine whether an asset is being accumulated (bullish) or distributed (bearish). Positive CMF values indicate buying pressure, while negative values signal selling pressure, making it an essential tool for volume-based analysis.
Our Innovation
Traditionally, indicators like the RSI and CMF are analyzed in separate panels, limiting their connection to the price chart itself. We’ve developed an innovative solution that combines the power of these two indicators, enabling traders to simultaneously measure both price movements and volume flow in a unified visualization. By mapping the RSI and CMF directly onto the price chart, our indicator provides a seamless way to observe and analyze how price momentum and money flow interact with the actual price action.
This integration of volume, price, and momentum into a single chart offers traders a comprehensive tool for deeper market insights and faster decision-making.
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Simple Settings Panel with Tooltips
Our indicator comes with an intuitive and user-friendly settings panel, designed for ease of use and full customization. Each input is accompanied by a tooltip to guide users through the settings and ensure clear understanding of their purpose.
Settings Overview
1. Enable RSI over Price:
Tooltip: "Toggle this option to enable or disable the RSI plotted on the price chart."
This setting allows users to control whether the RSI is displayed directly over the price chart.
2. RSI Length:
Default Value: 14
Tooltip: "Set the period for RSI calculation. Typical value is 14."
Adjusts the time period used for RSI calculations, affecting its sensitivity to price changes.
3. RSI Source:
Default Value: Close
Tooltip: "Choose the data source for RSI calculation, usually the closing price."
Allows users to specify which price data (e.g., close, open, high, low) is used in the RSI calculation.
4. Enable CMF over Price:
Tooltip: "Toggle this option to enable or disable the CMF mapped onto the price chart."
Controls the visibility of the CMF line on the price chart.
5. CMF Length:
Default Value: 20
Tooltip: "Set the period for CMF calculation. Typical value is 20."
Adjusts the time period used to compute the CMF, determining the volume-weighted money flow sensitivity.
Description of RSI and CMF Settings
RSI Settings:
The RSI Length determines how many periods are included in the RSI calculation. Shorter lengths make the RSI more reactive to price changes, while longer lengths smooth out fluctuations. The RSI Source provides flexibility in selecting the price input for calculation, which is typically the closing price by default.
CMF Settings:
The CMF Length defines how many periods are used to calculate the Chaikin Money Flow, enabling users to focus on short-term or long-term trends in money flow. Enabling the CMF over price ensures the relationship between volume and price action is visually evident on the price chart.
The Style Settings
panel allows users to customize the visual appearance of the indicator, ensuring clarity and alignment with their preferences. Users can independently adjust the line colors for RSI and CMF, with default settings of green for RSI and red for CMF, enabling a clear distinction between the two.
Additionally, the Fill between RSI and CMF option provides two customizable colors (Color 0 and Color 1) to represent the dynamic fill. This fill visually highlights the relationship between the RSI and CMF, enhancing the interpretability of their interaction on the price chart. The settings also include options to toggle precision, labels on the price scale, and values in the status line for added flexibility.
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How to Analyze with RSI and CMF V 1.0
The RSI and CMF V 1.0 indicator provides an intuitive and integrated approach to analyzing market trends, combining momentum and volume dynamics directly on the price chart. Its innovative mapping of RSI and CMF makes it easy to spot key trends and reversals with unmatched clarity.
Key Insights:
1. Dynamic Relationship Between RSI and CMF:
The indicator maps RSI (momentum-based) and CMF (volume-based) values onto the price chart. This makes it easier to analyze how price momentum aligns with money flow.
The color-coded fill highlights the strength of their relationship:
- Blue Fill: RSI is stronger than CMF, indicating price momentum leads the movement.
- Red Fill: CMF dominates RSI, reflecting the strength of volume flow.
2. Spotting Trends:
Uptrends: Consistent blue fills paired with RSI and CMF rising together suggest bullish momentum backed by strong volume.
Downtrends: Red fills with declining RSI and CMF signal bearish pressure driven by selling volume.
3. Reversals and Divergences:
Divergences between price action and the mapped RSI/CMF lines can signal potential reversals.
For instance, if price is rising but RSI and CMF are both falling, it could indicate weakening bullish momentum.
Ease of Use:
Color Coding: The dynamic fills (blue and red) allow for immediate visual identification of trend strength and direction, reducing analysis time.
Overlay on Price: By plotting directly on the price chart, traders don’t need to switch between multiple panels, ensuring the context remains clear.
Customizable Settings: Inputs for length, source, and enable/disable toggles make it adaptable for all trading styles and timeframes.
In conclusion, this indicator offers a visually clear and easy-to-understand way to combine momentum and volume analysis, empowering traders with actionable insights at a glance.
Fundamental Analysis
Market Capital Gain Loss By Abhay B. JagdaleMarket Capital Gain Loss (MCGL) by Abhay B. Jagdale is an advanced indicator designed to visualize and analyze the market capitalization of a stock based on real-time price data. It leverages financial metrics and price action to help traders and investors understand how the stock's valuation evolves over time.
This script calculates market capitalization using the stock's Total Shares Outstanding (TSO), combined with open, high, low, and close prices. The results are displayed in an easy-to-read format, using the following visual elements:
Step Line Plot: Shows the market capitalization trend, where green indicates a positive change and red indicates a negative change compared to the previous bar.
Custom Candles: Represent the market cap's open, high, low, and close values, offering a candle-like visualization for valuation.
Dynamic Labels: Display the high, current, and low market capitalization values for each bar, giving users a clear snapshot of key data points.
Features:
Automatically calculates market capitalization using financial data for supported stocks.
Highlights gains and losses with intuitive color-coding (green for gains, red for losses).
Displays detailed market capitalization metrics in labels for added clarity.
Suitable for all trading styles, including day trading and long-term analysis.
Use Cases:
Stock Valuation Tracking: Understand how market cap changes in real-time based on price action.
Trend Identification: Spot valuation trends and reversals using color-coded step lines and candles.
Market Cap Insights: Gain additional context about stock performance with dynamic labels showcasing high, low, and current capitalization.
Note: This indicator relies on the request.financial function to fetch the total shares outstanding (TSO). For stocks that don't support this data, the TSO will default to 0, and calculations will not be displayed. Ensure the stock symbol supports financial data to use this indicator effectively.
Disclaimer:
This script is intended for informational purposes only and should not be used as the sole basis for making trading decisions. Always conduct your own research before investing.
Stronger V4.0 - Optimized Trading Strategy
Name: Stronger V4.0 - Optimized Trading Strategy
Introduction:
Stronger V4.0 is a structured trading strategy designed to identify and act on market breakout and reversal opportunities. By employing advanced filtering tools such as RSI (Relative Strength Index), MACD (Moving Average Convergence Divergence), and Bollinger Bands, this strategy aims to reduce market noise and provide reliable trading signals.
The strategy dynamically adapts to changing market conditions, focusing on delivering high-quality signals rather than frequent ones. This allows traders to approach markets with more confidence and clarity.
How the Strategy Works and Key Features:
How Stronger V4.0 Works:
Stronger V4.0 combines advanced technical indicators and custom logic to identify optimal entry and exit points in the market. By dynamically integrating filters like RSI, MACD, and Bollinger Bands, the strategy adjusts to market conditions and minimizes noise to deliver high-quality signals.
Key Features:
Dynamic Price Analysis:
Tracks price movements within specific periods to detect breakout and reversal opportunities.
Advanced Filtering Mechanisms:
RSI Filter: Avoids trades in overbought/oversold market conditions.
MACD Filter: Confirms market momentum and trend direction.
Bollinger Bands: Adapts thresholds based on market volatility.
Risk Management:
Limits trade risk to sustainable levels to preserve equity.
Encourages consistent growth by maintaining a maximum risk per trade.
Customizable Parameters:
Users can toggle long or short trades and adjust filter settings to match their trading preferences.
Minimalist Display:
Focuses on essential signals only, ensuring a clean and easy-to-read chart layout.
Market Breakout Identification:
One of Stronger V4.0's core functionalities is identifying significant breakout points. These breakout points are calculated based on dynamic price movements and market momentum.
Key moments are highlighted when the price exits a consolidation phase and transitions into a new trend. These points represent strong market opportunities, offering actionable insights for traders.
Using adjustable period settings, the strategy enables traders to tailor the analysis to their preferred timeframe and trading style. By eliminating market noise, Stronger V4.0 helps traders focus on high-probability setups and make informed decisions during volatile conditions.
Why Stronger V4.0 Stands Out:
Adaptive Filters:
Dynamically integrates RSI, MACD, and Bollinger Bands to reduce noise and highlight high-probability setups.
Precision Execution:
Focuses on executing trades at optimal moments, ensuring a balance between sustainability and profitability.
Rigorous Testing:
Extensively backtested under realistic market conditions for consistent performance.
Tailored and Exclusive:
Designed for traders seeking a balance between quality and adaptability.
Risk Disclaimer:
Stronger V4.0 has been backtested under various market conditions; however, past performance does not guarantee future results. The strategy is provided as-is, and traders are encouraged to test it thoroughly and apply appropriate risk management measures. Always trade responsibly.
AlphaEdge Crypto Tracker [CHE]AlphaEdge Crypto Tracker
Efficiently Identify Top Performers and Underperformers Among 40 Crypto Assets at a Glance
In the fast-paced world of cryptocurrency trading, staying ahead requires the ability to quickly assess the performance of multiple assets simultaneously. AlphaEdge Crypto Tracker is an advanced Pine Script™ indicator designed for TradingView that empowers traders to effortlessly monitor and evaluate 40 different crypto assets in real-time.
This tool is my Christmas gift to all traders. I wish you all a Merry Christmas and successful trades in the coming year!
Why It’s Important to Identify Winners and Losers Among 40 Assets at a Glance:
1. Time Efficiency: Managing a diverse portfolio can be overwhelming. With AlphaEdge Crypto Tracker, traders can swiftly identify which assets are performing exceptionally well (winners) and which are underperforming (losers) without the need to analyze each asset individually.
2. Informed Decision-Making: By having a clear overview of top gainers and losers, traders can make strategic decisions such as reallocating investments, taking profits, or cutting losses, thereby optimizing their trading strategies.
3. Risk Management: Quickly spotting underperforming assets helps in mitigating potential losses and adjusting positions to maintain a balanced and profitable portfolio.
4. Opportunity Identification: Recognizing top-performing assets allows traders to capitalize on emerging trends and maximize their returns by focusing on the most promising opportunities.
Key Features of AlphaEdge Crypto Tracker :
- Comprehensive Asset Tracking: Monitors 40 crypto assets simultaneously, providing a broad view of the market landscape.
- Max Gain and Adjusted Max Loss Calculations: Utilizes a 14-bar (configurable) period to calculate the highest gains and the adjusted maximum losses for each asset, offering insights into potential profitability and risk.
- Dynamic Ranking: Automatically sorts and ranks assets based on their performance, highlighting the top 10 gainers and top 10 losers for easy comparison.
- Customizable Display:
- Table Settings: Adjust the size, position, and colors of the performance table to fit your chart layout.
- Interactive Tooltips: Hover over asset names to view detailed tooltips, enhancing usability and information accessibility.
- Visual Alerts: Changes in asset performance are visually indicated through background color updates, allowing for immediate recognition of significant shifts.
- User-Friendly Interface: Intuitive table layout with clear headers and organized data presentation, making it easy for traders of all levels to interpret the information.
How It Works:
1. Data Calculation: For each of the 40 tracked assets, AlphaEdge Crypto Tracker calculates the maximum gain and adjusted maximum loss over the defined trading period.
2. Sorting and Ranking: The assets are sorted based on their maximum gains and adjusted maximum losses, automatically updating to reflect the latest market movements.
3. Real-Time Display: The top 10 gainers and losers are displayed in a neatly organized table directly on your TradingView chart, providing immediate visual insights.
4. Customization: Users can tailor the tracking period, select specific assets to monitor, and adjust the table’s appearance to match their trading style and preferences.
Conclusion:
AlphaEdge Crypto Tracker is an essential tool for cryptocurrency traders seeking to enhance their market analysis and decision-making processes. By providing a comprehensive and customizable overview of multiple assets, it enables traders to efficiently identify profitable opportunities and manage risks effectively. Whether you’re a seasoned trader or just starting, AlphaEdge Crypto Tracker equips you with the insights needed to navigate the dynamic crypto market with confidence.
Get Started Today:
Integrate AlphaEdge Crypto Tracker into your TradingView setup and take control of your crypto trading strategy with unparalleled clarity and precision.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
License Information:
This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0. You can view the full license (mozilla.org).
© chervolino
FuTech : IPO Lock-in Ends FuTech: Lock-in Ends - First ever unique Indicator on the TradingView platform
Hello Everyone !
Introducing the first-ever unique indicator on the TradingView platform to track the lock-in period expiry dates for IPOs.
The FuTech Lock-in Ends Indicator is specifically designed to assist traders and investors in identifying the key dates when lock-in periods for IPO shares come to an end.
This provides an edge in preparing for potential market movements driven by buying or selling pressures associated with significant share volumes.
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Key Features:
1. Tracks Multiple Lock-in Periods:
- Identifies dates when the 30 days, 90 days, 6 months, and 18 months lock-in periods for IPO shares expire.
- Helps traders anticipate potential market action driven by share releases.
2. IPO Lock-in Ends dates as per Compliance with SEBI Guidelines:
- SEBI (Securities and Exchange Board of India) mandates lock-in periods for IPO shares based on investor categories:
- A) Promoters:
- Lock-in period reduced to 18 months for up to 20% of post-issue paid-up capital (previously 3 years).
- For shareholding exceeding 20%, the lock-in period is further reduced to 6 months (previously 1 year).
- B) Anchor Investors:
- 50% of allotted shares: Lock-in period of 90 days from the date of allotment.
- Remaining 50% of shares: Lock-in period of 30 days from the date of allotment.
- C) Non-promoters:
- Lock-in period reduced to 6 months (previously 1 year).
After these lock-in periods end, investors may buy / sell their shares, which can result in significant market activity.
3. Visual Indicator on Charts:
- The indicator draws vertical lines on the TradingView chart at the respective lock-in expiry dates.
- Alerts users in advance about potential market activity due to the release of locked shares.
- Traders can use these alerts to prepare for positions or adjust their existing holdings accordingly.
4. Customizable Settings:
- Users can modify the color of the labels and width of the lines to suit their preferences and enhance chart visibility.
5. User-defined Allotment Dates:
- If the allotment date is known, users can input this information directly. The indicator will then calculate the lock-in period dates based on the provided allotment date, ensuring precise results.
- If no allotment date is entered, the default calculation assumes the allotment date to be three trading days prior to the listing date .
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Important Notes:
- Allotment Date Calculation:
- In the absence of user-defined allotment dates, the indicator estimates the allotment date as three trading days prior to the listing date .
- This approximation may deviate by one to two days from the actual event for certain IPOs.
- Proactive Alerts:
- Most dates are intentionally marked 1-2 days in advance to give traders sufficient time to act, whether for taking new positions or squaring off existing ones to avoid unfavorable losses.
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The FuTech Lock-in Ends Indicator is a must-have tool for IPO traders and investors looking to stay ahead of market movements. Use it to track key dates and plan your trading strategy effectively with FuTech : Chart is Art.
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Thank you !
Jai Swaminarayan Dasna Das !
He Hari ! Bas Ek Tu Raji Tha !
[Rizq] All Eyez on Me Ticker - LiveA tool for traders looking to stay informed about real-time market dynamics, track momentum, and manage watchlists effectively.
How To Use This Indicator To Assist Trading
Market Sentiment Overview:
Quickly identify overall market sentiment by observing the balance between positive (top ticker) and negative (bottom ticker) symbols.
Momentum Tracking:
Use real-time percentage changes to track momentum shifts in key symbols.
Focus on Leading/Lagging Assets:
Identify top-performing and underperforming assets at a glance.
Helps with rotation strategies (e.g., moving into strong sectors or avoiding weak ones).
Sector Monitoring:
Combine tickers to monitor performance across different sectors (e.g., tech in one ticker, commodities in the other).
Custom Watchlist:
Create a personalized watchlist with critical symbols for monitoring trade setups or broader market movements.
Real-Time Scanning:
Continuous scrolling ensures that no symbols are missed, even in fast-moving markets.
Better Timing for Trades:
Align updates with 1-minute chart intervals, making it easier to time trades based on market movements.
Compact and Non-Intrusive:
Overlay design keeps the chart clean while providing crucial information at a glance.
Dynamic Tickers:
Two ticker tapes dynamically display market data for a unified list of symbols.
Symbols are categorized into positive changes (top ticker) and negative changes (bottom ticker).
Neutral symbols appear in both tickers.
Custom Symbol Lists:
Input multiple symbols for both ticker tapes.
Merge symbol lists dynamically for comprehensive market monitoring.
Real-Time Updates:
Align updates with 1-minute chart intervals for consistency.
Continues scrolling current data until the next update.
Scroll Speed Control:
Adjustable scrolling speed
Color-Coded Indicators:
Green (▲) for positive price changes.
Red (▼) for negative price changes.
Gray (=) for neutral changes.
Compact Display:
Displays symbol name, ticker ID, last price, percentage change, and price change in a single row.
Dynamic Filtering :
Automatically separates symbols into positive, negative, and neutral categories.
Ensures relevant symbols are always visible.
Position Control:
Choose between top-center and bottom-center for each ticker tape's position.
Add and remove symbols to suit your needs.
Brazil Real Interest RateEste script foi criado para calcular e exibir a Taxa de Juros Real, permitindo compreender o impacto da inflação sobre os juros nominais do mercado. Ele utiliza dois indicadores principais: a taxa de juros nominal, que reflete os juros antes de considerar a inflação, e a taxa de inflação anual, que mede o aumento dos preços em um ano.
O script funciona da seguinte forma: ele obtém diariamente os dados da taxa de juros nominal (representada pelo contrato futuro DI1) e da inflação anual (indicada pelo BRIRYY). Esses valores são processados para calcular a taxa de juros real, utilizando a fórmula de Fisher, que ajusta os juros nominais ao descontar o efeito da inflação. O resultado é uma medida mais precisa do retorno ou custo real, considerando o poder de compra.
Depois de realizar o cálculo, o script exibe a Taxa de Juros Real diretamente no gráfico, representada por uma linha verde. Isso permite acompanhar, de forma clara e visual, como a inflação e os juros afetam o cenário econômico ao longo do tempo.
This script was created to calculate and display the Real Interest Rate, allowing us to understand the impact of inflation on nominal market interest rates. It uses two main indicators: the nominal interest rate, which reflects interest rates before considering inflation, and the annual inflation rate, which measures the increase in prices over a year.
The script works as follows: it obtains daily data on the nominal interest rate (represented by the DI1 futures contract) and annual inflation (indicated by BRIRYY). These values are processed to calculate the real interest rate, using the Fisher formula, which adjusts nominal interest rates by discounting the effect of inflation. The result is a more accurate measure of real return or cost, considering purchasing power.
After performing the calculation, the script displays the Real Interest Rate directly on the graph, represented by a green line. This allows you to monitor, clearly and visually, how inflation and interest rates affect the economic scenario over time.
SIM Custom Weighted Index MakerSIM Custom Weighted Index Maker
The UNIQE SIM Custom Index Maker is a versatile and customizable indicator designed to help traders create their own personalized index using up to 10 different symbols. This tool is particularly useful for those who want to monitor the performance of a specific group of assets, such as meme coins, tech stocks, or any other category of interest. Additionally, users can now assign weights to each symbol, allowing for a more tailored index calculation.
Key Features:
Symbol Selection:
- Users can select up to 10 different symbols to include in their custom index.
- Each symbol can be individually enabled or disabled, allowing for flexible index composition.
Weight Assignment:
- Users can assign weights to each symbol, providing more control over the influence of each symbol on the index.
- By default, all symbols are equally weighted.
Timeframe Selection:
- The indicator supports both the chart's current timeframe and a fixed timeframe, providing users with the flexibility to analyze data at their preferred granularity.
OHLC Price Calculation:
- The indicator fetches the Open, High, Low, and Close (OHLC) prices for each enabled symbol.
- It then calculates the weighted average OHLC prices across all enabled symbols to create the index values.
Index Visualization:
- The custom index is plotted as candlesticks, with green candles indicating a rise in the index value and red candles indicating a fall.
- The wicks of the candlesticks are colored gray for better visual distinction.
Usage:
Select Symbols:
- Input the symbols you want to include in your index. You can choose up to 10 symbols.
- Enable or disable each symbol as needed to fine-tune your index.
Assign Weights:
- Assign weights to each symbol to control their influence on the index. By default, all symbols are equally weighted.
Choose Timeframe:
- Decide whether to use the chart's current timeframe or a fixed timeframe for data analysis.
Analyze the Index:
- The indicator will plot the custom index on your chart, allowing you to monitor the collective performance of your selected symbols.
Benefits:
- Customization : Create an index tailored to your specific interests or investment strategies.
- Flexibility : Easily add or remove symbols and adjust their weights to fine-tune the index composition.
- Visualization : Clear and intuitive candlestick representation of the index for easy analysis.
The SIM Custom Weighted Index Maker is a powerful tool for traders looking to gain insights into the performance of a custom group of assets, making it an essential addition to any trader's toolkit.
Algo Bands [ProjeAdam]OVERVIEW:
The Algo Bands indicator is a technical analysis tool that calculates the highest, lowest, and average price levels over a user-defined number of bars. It generates buy and sell signals based on price interactions with these levels, visualizing them as bands on the chart. Additionally, the indicator provides multi-timeframe analysis and integrates alerts for timely trading decisions.
ALGORITHM:
1. Initialization and Function Definition
The Algo Bands indicator starts by defining functions to calculate critical price levels:
- High Band : A smoothed average of recent high price levels.
- Low Band : A smoothed average of recent low price levels.
- Average Band : The midpoint between the High Band and Low Band.
The smoothing process utilizes a Smoothed Moving Average (SMMA) to reduce noise and ensure accurate signal generation.
2. Inputs and Band Calculation
The indicator accepts customizable inputs for flexibility in trading strategies:
- Backward Length : The number of bars to consider for calculating high and low values.
- Number of Lines : Specifies how many recent high or low values are averaged.
- Smoothing Period : The length of the SMMA to smooth price data.
Using these inputs:
- The High Band is calculated as the smoothed average of the highest price values.
- The Low Band is calculated as the smoothed average of the lowest price values.
- The Average Band is the midpoint of the High and Low Bands.
3. Plotting the Bands
The Algo Bands indicator plots three main lines on the price chart:
- High Band : Plotted as a red step line, representing resistance levels.
- Low Band : Plotted as a green step line, indicating support levels.
- Average Band : Plotted as an orange line, showing the midpoint or equilibrium price.
4. Buy and Sell Conditions
Sell Condition:
The indicator triggers a sell signal when either of the following conditions is met:
A. Crossunder Condition :
- The closing price crosses below the High Band.
- The candle closes below its open price, confirming bearish sentiment.
- The closing price remains below both the High Band and the previous bar's open price.
B. Rejection Condition :
- The high price exceeds the High Band during the bar.
- However, the closing price fails to hold above the High Band and closes lower than both the High Band and the open price.
Buy Condition:
The indicator triggers a buy signal when either of the following conditions is met:
A. Crossover Condition :
- The closing price crosses above the Low Band.
- The candle closes above its open price, indicating bullish momentum.
- The closing price remains above both the Low Band and the previous bar's open price.
B. Rejection Condition :
- The low price dips below the Low Band during the bar.
- However, the closing price recovers and closes higher than both the Low Band and the open price.
5. Signal Visualization
The indicator visually represents buy and sell signals as follows:
- Sell Signals : Displayed as a red downward label (🔴) above the bar.
- Buy Signals : Displayed as a green upward label (🟢) below the bar.
The background colors between the bands also reflect market direction:
- Red for bearish trends.
- Green for bullish trends.
6. Alerts
The Algo Bands indicator includes customizable alerts to notify traders of trading signals:
- Alerts are triggered when Buy or Sell conditions are met.
- Integration with Telegram allows real-time notifications for immediate action.
7. Multi-Timeframe Analysis
The indicator supports analysis across multiple timeframes, including:
- 1 Hour
- 4 Hours
- Daily
It calculates the High and Low Bands for these timeframes to provide a comprehensive view of the market trend.
HOW DOES THE INDICATOR WORK?
1. Price Band Calculation :
- The highest and lowest price values are dynamically identified for a user-defined range.
- These values are smoothed using SMMA to produce the High Band and Low Band.
2. Signal Generation :
- Sell signals occur when the price crosses below or rejects the High Band.
- Buy signals occur when the price crosses above or rejects the Low Band.
3. Visualization :
- The bands are plotted on the chart to display resistance, support, and price equilibrium.
- Buy and Sell signals are marked with labels and color-coded backgrounds.
4. Alerts :
- Custom alerts notify traders in real time when signals are triggered.
BENEFITS OF THE ALGO BANDS INDICATOR:
- Trend Identification : Identifies support, resistance, and price equilibrium levels.
- Clear Buy/Sell Signals : Helps traders make timely entry and exit decisions.
- Noise Reduction : SMMA smoothing minimizes false signals.
- Multi-Timeframe Analysis : Provides insights across 1-hour, 4-hour, and daily timeframes.
- Customizable Parameters : Users can adjust settings for their trading style.
- Real-Time Alerts : Immediate notifications ensure timely actions.
- Visual Clarity : Labels and background colors enhance signal visibility.
- Ease of Use : Suitable for traders of all levels, from beginners to experts.
If you have any ideas what to add to my work to add more sources or make calculations cooler, suggest in DM .
DCA Fundamentals 1.0DCA Fundamentals 1.0
Description:
DCA Fundamentals 1.0 is an invite-only indicator designed to help traders and investors make informed decisions by analyzing key fundamental metrics of a company. It aggregates essential financial data—such as book value, earnings per share, total equity, total debt, net income, and total revenue—to provide a comprehensive overview of the stock’s intrinsic value and risk profile. By examining factors like the debt-to-equity ratio and dynamically computing Buffet’s Limit, this tool assists in identifying whether a stock may be undervalued, fairly valued, or overvalued.
Key Features:
Intrinsic Value Calculation: Estimates a stock’s intrinsic worth using a weighted combination of book value per share and EPS.
Buffet’s Limit & Margin of Safety: Adjusts intrinsic value based on the company’s debt-to-equity ratio, providing a margin of safety percentage to gauge potential investment risk.
Debt Warning: Highlights when the debt-to-equity ratio exceeds 2, signaling possible financial instability.
Data Visualization: Displays equity, debt, net income, and revenue as area plots or histograms, helping users quickly assess financial health.
Investment Status: Classifies the stock as undervalued, fairly valued, or overvalued based on current price relative to intrinsic value and Buffet’s Limit.
Dividend-to-ROE Ratio: Offers insight into dividend payout sustainability relative to the company’s return on equity.
Instructions
Fallback Data Handling:
If any financial data is unavailable, fallback values are automatically used to ensure that key calculations remain meaningful and uninterrupted.
Intrinsics & Risk Assessment:
Intrinsic Value: Computed using book value and EPS to understand the stock’s core worth.
Buffet’s Limit: Adjusted from the intrinsic value based on the debt-to-equity ratio. The resulting margin of safety helps gauge the current price’s risk level.
Debt Warning:
Debt-to-Equity Ratio > 2: Triggers a red warning, advising caution due to potentially excessive debt.
Visual Indicators:
Intrinsically Undervalued (Green Area): When price is below intrinsic value, a green shaded area suggests the stock may be undervalued, potentially presenting a buying opportunity.
Debt vs. Equity (Area Plots):
Red Area: Represents debt. A larger red area signals relatively high debt levels.
Green Area: Represents equity. A larger green area suggests stronger financial health.
Revenue & Net Income (Histograms):
Green Bars: Positive or improving fundamentals.
Red Bars: Negative or declining performance.
Investment Status:
Undervalued (Green): Price below intrinsic value.
Fairly Valued (Yellow): Price between intrinsic value and Buffet’s Limit.
Overvalued (Red): Price above intrinsic value, implying increased downside risk.
Table Display:
A convenient table summarizes key metrics at a glance, including P/E ratio, Debt-to-Equity ratio, intrinsic value, margin of safety, net income, total revenue, and the Dividend-to-ROE Ratio.
Dividend-to-ROE Ratio:
This metric provides additional context on the company’s dividend policy relative to its return on equity, aiding in evaluating dividend sustainability.
Disclaimer
Important Disclaimer:
The DCA Fundamentals 1.0 indicator is provided solely for educational and informational purposes. It is not investment advice, a recommendation, or an endorsement of any security or strategy. All calculations are based on data provided by third parties, and their accuracy or completeness is not guaranteed.
Investing and trading involve significant risks. You may lose more than your initial investment. Historical performance or indicators cannot guarantee future results. Before making any investment decisions, you should conduct thorough research, consider consulting a qualified financial professional, and implement robust risk management strategies.
By using DCA Fundamentals 1.0, you acknowledge these risks and agree that neither the creator nor any affiliated parties are responsible for any losses incurred. Use this tool at your own discretion and risk.
MOEX Aerospace & Defense IndexMOEX Aerospace & Defense Index is a financial instrument that forms an objective assessment of the capitalization of the entire aerospace and military–industrial complex of Russia, the securities of issuers of which are represented on the public stock market.
The MOEX Aerospace & Defense Index includes shares of 14 issuers of the aerospace and defense industry complex of Russia in fair shares proportional to the occupied shares of the Russian and global arms markets, as well as involvement in the Russian state defense order during wartime. The Index includes issuers from such sectors of the economy as: military aviation industry, rocket and space industry, military automotive industry and wheel products, military electronics and communications, military metallurgy and metal products.
The Index includes:
RUS:AMEZ RUS:CHKZ RUS:CHMF RUS:DZRDP RUS:ELMT RUS:IRKT RUS:KMAZ RUS:NAUK RUS:NSVZ RUS:RKKE RUS:SVAV RUS:UNAC RUS:VSMO RUS:ZVEZ
Based on historical data for the period from 2014 (the year of the beginning of the geopolitical confrontation between Russia and Ukraine), the MOEX Aerospace & Defense Index demonstrates profitability 3-4 times higher than the Russian benchmark of the stock market - the Moscow Stock Exchange Index. It makes the financial instrument the most attractive in times of geopolitical crises or military confrontations.
MOEX Aerospace & Defense Index allows you to:
1. To invest in a balanced manner in the aerospace and defense industrial complex of Russia, which produces advanced military and aerospace weapons for the needs of the Russian army and for export, which occupies 25% of the global arms market. Investing in the aerospace and military-industrial complex of Russia is especially relevant in the context of a special military operation in Ukraine, the growth of geopolitical tensions and the resulting large budget incentives for this industry from the Government of the Russian Federation.
2. To neutralize fluctuations in low-liquid and highly volatile stocks of the aerospace and military-industrial complex of Russia. The aerospace and defense industries are characterized by high volatility in stock prices, which is why the creation of a balanced index can offset price fluctuations for low-liquid shares of companies included in the index and reduce the risk for investors.
3. Politically diversify the investment portfolio. The inclusion of the MOEX Aerospace & Defense Index in the investment portfolio can reduce the risks associated with price fluctuations during geopolitical crises or military confrontations.
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MOEX Aerospace & Defense Index – финансовый инструмент, формирующий объективную оценку капитализации всего аэрокосмического и оборонно-промышленного комплекса России, ценные бумаги эмитентов которого представлены на публичном рынке акций.
В MOEX Aerospace & Defense Index включены акции 14 эмитентов аэрокосмического и оборонно-промышленного комплекса России в справедливых долях, пропорциональных занимаемым долям российского и мирового рынка вооружений, а также задействования в российском гособоронзаказе в военное время. Индекс включает в себя эмитентов из таких секторов экономики, как: военная авиационная промышленность, ракетно-космическая промышленность, военная автомобильная промышленность и колесные изделия, военная электроника и связь, военная металлургия и изделия из металла.
В Индекс включены:
RUS:AMEZ RUS:CHKZ RUS:CHMF RUS:DZRDP RUS:ELMT RUS:IRKT RUS:KMAZ RUS:NAUK RUS:NSVZ RUS:RKKE RUS:SVAV RUS:UNAC RUS:VSMO RUS:ZVEZ
На исторических данных за период с 2014-го года (года начала геополитической конфронтации России и Украины) MOEX Aerospace & Defense Index демонстрирует доходность в 3-4 раза выше российского бенчмарка рынка акций – Индекса Мосбиржи, что делает финансовый инструмент наиболее привлекательным во времена геополитических кризисов или военных противостояний.
MOEX Aerospace & Defense Index позволяет:
1. Сбалансированно инвестировать в аэрокосмический и оборонно-промышленный комплекс России, производящий передовое военное и аэрокосмическое вооружение для нужд армии России и на экспорт, который занимает 25% мирового рынка вооружений. Инвестирование в аэрокосмический и оборонно-промышленный комплекс России особенно актуально в условиях специальной военной операции на Украине, росте геополитической напряженности и следующих из этого большого бюджетного стимулирования данной отрасли со стороны Правительства Российской Федерации.
2. Нивелировать колебания в низколиквидных и высоко волатильных акциях аэрокосмического и оборонно-промышленного комплекса России. Аэрокосмическая и оборонная отрасли характеризуются высокой волатильностью цен на акции, ввиду чего создание сбалансированного индекса может нивелировать колебания цен на низколиквидные акции компаний, входящих в индекс, и снизить риск для инвесторов.
3. Политически диверсифицировать инвестиционный портфель. Включение MOEX Aerospace & Defense Index в инвестиционный портфель может снизить риски, связанные с колебаниями цен во время геополитических кризисов или военных противостояний.
4-Year Cycles [jpkxyz]Overview of the Script
I wanted to write a script that encompasses the wide-spread macro fund manager investment thesis: "Crypto is simply and expression of macro." A thesis pioneered by the likes of Raoul Pal (EXPAAM) , Andreesen Horowitz (A16Z) , Joe McCann (ASYMETRIC) , Bob Loukas and many more.
Cycle Theory Background:
The 2007-2008 financial crisis transformed central bank monetary policy by introducing:
- Quantitative Easing (QE): Creating money to buy assets and inject liquidity
- Coordinated global monetary interventions
Proactive 4-year economic cycles characterised by:
- Expansionary periods (low rates, money creation)
- Followed by contraction/normalisation
Central banks now deliberately manipulate liquidity, interest rates, and asset prices to control economic cycles, using monetary policy as a precision tool rather than a blunt instrument.
Cycle Characteristics (based on historical cycles):
- A cycle has 4 seasons (Spring, Summer, Fall, Winter)
- Each season with a cycle lasts 365 days
- The Cycle Low happens towards the beginning of the Spring Season of each new cycle
- This is followed by a run up throughout the Spring and Summer Season
- The Cycle High happens towards the end of the Fall Season
- The Winter season is characterised by price corrections until establishing a new floor in the Spring of the next cycle
Key Functionalities
1. Cycle Tracking
- Divides market history into 4-year cycles (Spring, Summer, Fall, Winter)
- Starts tracking cycles from 2011 (first cycle after the 2007 crisis cycle)
- Identifies and marks cycle boundaries
2. Visualization
- Colors background based on current cycle season
- Draws lines connecting:
- Cycle highs and lows
- Inter-cycle price movements
- Adds labels showing:
- Percentage gains/losses between cycles
- Number of days between significant points
3. Customization Options
- Allows users to customize:
- Colors for each season
- Line and label colors
- Label size
- Background opacity
Detailed Mechanism
Cycle Identification
- Uses a modulo calculation to determine the current season in the 4-year cycle
- Preset boundary years include 2015, 2019, 2023, 2027
- Automatically tracks and marks cycle transitions
Price Analysis
- Tracks highest and lowest prices within each cycle
- Calculates percentage changes:
- Intra-cycle (low to high)
- Inter-cycle (previous high to current high/low)
Visualization Techniques
- Background color changes based on current cycle season
- Dashed and solid lines connect significant price points
- Labels provide quantitative insights about price movements
Unique Aspects
1. Predictive Cycle Framework: Provides a structured way to view market movements beyond traditional technical analysis
2. Seasonal Color Coding: Intuitive visual representation of market cycle stages
3. Comprehensive Price Tracking: Captures both intra-cycle and inter-cycle price dynamics
4. Highly Customizable: Users can adjust visual parameters to suit their preferences
Potential Use Cases
- Technical analysis for long-term investors
- Identifying market cycle patterns
- Understanding historical price movement rhythms
- Educational tool for market cycle theory
Limitations/Considerations
- Based on a predefined 4-year cycle model (Liquidity Cycles)
- Historic Cycle Structures are not an indication for future performance
- May not perfectly represent all market behavior
- Requires visual interpretation
This script is particularly interesting for investors who believe in cyclical market theories and want a visual, data-driven representation of market stages.
Earnings Gap UpsBased on research conducted by John Pocorobba and Jason Thompson, the Earnings Gap Ups Indicator is designed to identify three types of earnings gaps, key levels, and the "alpha window"—a period when stocks often outperform following a gap. These gaps are frequently observed in high-performing stocks.
What is an Earnings Gap?
An earnings gap occurs when a stock's price makes a significant jump, after the company reports earnings signifying the street (institutions) were caught off guard.
The three different types of gaps are as follows: [/b
PEG (Power Earnings Gap)
Price gain of 10% or more
Volume is greater than 200% above the 50-day average
EPS surprise of at least 20%
Monster Gap
Price gain of 20% or more
Volume is greater than 300% above the 50-day average
No fundamental requirement
Monster Peg
Price Gain of 20% or more
Volume is greater than 300% above the 50-day average
EPS surprise of at least 20%
Key Levels and the Alpha Window
In addition to spotting these gaps, the indicator marks key levels on the chart and extends them through the alpha window, which represents the time period when the stock tends to outperform after the gap.
Key levels include:
High volume close: The closing price on a day with unusually high trading volume
High volume close minus 5%: A potential support level below the high volume close
Gap day high: The highest price reached on the gap day
Gap day low: The lowest price reached on the gap day
By understanding and tracking these gaps and levels, traders can map out a playbook for trading earnings gaps.
skX FVG Enhanced Indicator [1m,5m] skX FVG Indicator
Fair Value Gaps (FVGs) are particularly effective for scalping altcoins due to their tendency to fill price inefficiencies. These gaps occur during strong momentum moves where price leaves an 'empty' zone that often acts as a magnet for price to return to. In the volatile alt market, these gaps frequently present high-probability scalping opportunities.
Why FVGs Work in Alts:
• Quick price movements create more gaps
• Higher volatility increases gap frequency
• Institutional algorithms tend to fill these inefficiencies
• Works especially well in lower timeframes (1-5m)
Key Features:
✓ Automatic FVG detection with size filtering
✓ Smart timeframe adaptation (1m, 5m, Custom settings)
✓ Trend detection using 8/21/55 EMA system
✓ Dynamic TP/SL levels based on ATR
✓ Risk:Reward ratio automation
✓ Visual signals that stick to price levels
✓ Clear information display panel
✓ Built-in alerts system
How to Use:
1. Select your preferred timeframe (1m or 5m recommended)
2. Watch for triangle signals (▲ bullish, ▼ bearish)
3. Confirm with trend direction (shown in panel)
4. Use provided TP/SL levels for trade management
5. Set alerts for new FVG formations
Settings Explained:
• Auto Mode: Adjusts gap size to timeframe
• Custom Gap Size: Manual gap size control
• ATR Period: Volatility measurement window
• ATR Multiplier: Stop loss distance
• Risk:Reward: Take profit ratio
Best Practices:
• Use in conjunction with support/resistance
• Trade in direction of main trend
• Monitor higher timeframe structure
• Start with recommended settings
• Backtest before live trading
Note: This indicator works best in volatile market conditions and should be used as part of a complete trading strategy.
Good luck trading!
-skX
US 10Y - US 2Y Spread This script displays the Yield Spread between the 10 Year US Treasury Bond (US10Y) and the 2 Year US Treasury Bond (US02Y) as a blue line beneath the chart. It is best to be used on weekly charts a the yield spread is a leading indicator used for detecting possible recessions within the US economy.
A negative yield spread means the 2 year treasury bonds are paying a higher yield than 10 year treasury bonds indicating a possible slowdown of the US economy. In the past negative yield spreads where often followed by recessions and major corrections of the S&P500... you can see examples for this on the above chart for the Gulf War recession, the DotCom Bubble recession, the great recession due to the US housing market collapse and the short COVID recession.
Currently we are in an extended phase of negative yield spreads and if history repeats itself we could be in for a major correction on the financial markets within the next years.
Sector Relative Strength [Afnan]This indicator calculates and displays the relative strength (RS) of multiple sectors against a chosen benchmark. It allows you to quickly compare the performance of various sectors within any global stock market. While the default settings are configured for the Indian stock market , this tool is not limited to it; you can use it for any market by selecting the appropriate benchmark and sector indices.
📊 Key Features ⚙️
Customizable Benchmark: Select any symbol as your benchmark for relative strength calculation. The default benchmark is set to `NSE:CNX100`. This allows for global market analysis by selecting the appropriate benchmark index of any country.
Multiple Sectors: Analyze up to 23 different sector indices. The default settings include major NSE sector indices. This can be customized to any market by using the relevant sector indices of that country.
Individual Sector Control: Toggle the visibility of each sector's RS on the chart.
Color-Coded Plots: Each sector's RS is plotted with a distinct color for easy identification.
Adjustable Lookback Period: Customize the lookback period for RS calculation.
Interactive Table: A sortable table displays the current RS values for all visible sectors, allowing for quick ranking.
Table Customization: Adjust the table's position, text size, and visibility.
Zero Line: A horizontal line at zero provides a reference point for RS values.
🧭 How to Use 🗺️
Add the indicator to your TradingView chart.
Select your desired benchmark symbol. The default is `NSE:CNX100`. For example, use SPY for the US market, or DAX for the German market.
Adjust the lookback period as needed.
Enable/disable the sector indices you want to analyze. The default includes major NSE sector indices like `NSE:CNXIT`, `NSE:CNXAUTO`, etc.
Customize the table's appearance as needed.
Observe the RS plots and the table to identify sectors with relative strength or weakness.
📝 Note 💡
This indicator is designed for sectorial analysis. You can use it with any market by selecting the appropriate benchmark and sector indices.
The default settings are configured for the Indian stock market with `NSE:CNX100` as the benchmark and major NSE sector indices pre-selected.
The relative strength calculation is based on the price change of the sector index compared to the benchmark over the lookback period.
Positive RS values indicate relative outperformance, while negative values indicate relative underperformance.
👨💻 Developer 🛠️
Afnan Tajuddin
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.
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
