Simple Lot Size CalculatorOverview:
The "Simple Lot Size Calculator" indicator is designed to compute the optimal trading lot size based on specified parameters, crucial for managing risk and capital in financial trading.
Parameters:
1. **Balance:**
- Represents the current account balance denominated in the selected currency (USD, EUR, CZK).
2. **Risk Percentage:**
- Determines the percentage of capital
you are willing to risk on a single trade.
3. **Stop Loss Size:**
- Specifies the size of the stop loss in pips.
4. **Account Currency:**
- Allows selection between different account currencies (USD, EUR, CZK).
Calculation Details:
The indicator takes into account the following factors for calculating the lot size:
- **Currency Exchange Rates:** It adjusts the balance and risk calculations based on the selected account currency. For currencies other than USD, the indicator retrieves exchange rates from the market data provider.
- **Pip Value:** It distinguishes between forex pairs (where pips are used) and indices (where points are used) to ensure accurate risk calculation across different asset classes.
Usage:
The calculated lot size is crucial for:
- **Risk Management:** Determining the appropriate trade size based on risk tolerance.
- **Capital Preservation:** Ensuring trades are proportionate to account size and risk parameters.
Implementation:
The indicatator providing real-time calculations and graphical representation of the recommended lot size based on the input parameters.
By using this indicator, traders can effectively manage their risk exposure and optimize their trading strategies according to their financial goals and risk appetite.
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Made with ❤️ for trading
Gestão de carteira
Several Fundamentals in One [aep]
**Financial Ratios Indicator**
This comprehensive Financial Ratios Indicator combines various essential metrics to help traders and investors evaluate the financial health of companies at a glance. The following categories are included:
### Valuation Ratios
- **P/B Ratio (Price to Book Ratio)**: Assesses if a stock is undervalued or overvalued by comparing its market price to its book value.
- **P/E Ratio TTM (Price to Earnings Ratio Trailing Twelve Months)**: Indicates how many years of earnings would be needed to pay the current stock price by comparing the stock price to earnings per share over the last twelve months.
- **P/FCF Ratio TTM (Price to Free Cash Flow Ratio Trailing Twelve Months)**: Evaluates a company's ability to generate free cash flow by comparing the market price to free cash flow per share over the last twelve months.
- **Tobin Q Ratio**: Indicates whether the market is overvaluing or undervaluing a company’s assets by comparing market value to replacement cost.
- **Piotroski F-Score (0-9)**: A scoring system that identifies financially strong companies based on fundamental metrics.
### Efficiency
- **Net Margin % TTM**: Measures profitability by calculating the percentage of revenue that becomes net profit after all expenses and taxes.
- **Free Cashflow Margin %**: Indicates a company’s efficiency in generating free cash flow from its revenues by showing the percentage of revenue that translates into free cash flow.
- **ROE%, ROIC%, ROA%**: Evaluate a company’s efficiency in generating profits from equity, invested capital, and total assets, respectively.
### Liquidity Metrics
- **Debt to Equity Ratio**: Shows the level of debt relative to equity, helping assess financial leverage.
- **Current Ratio**: Measures a company's ability to pay short-term debts by comparing current assets to current liabilities.
- **Long Term Debt to Assets**: Evaluates the level of long-term debt in relation to total assets.
### Dividend Policy
- **Retention Ratio % TTM**: Indicates the proportion of earnings reinvested in the company instead of distributed as dividends.
- **Dividend/Earnings Ratio % TTM**: Measures the percentage of earnings paid out as dividends to shareholders.
- **RORE % TTM (Return on Retained Earnings)**: Assesses how effectively a company utilizes retained earnings to generate additional profits.
- **Dividend Yield %**: Indicates the dividend yield of a stock by comparing annual dividends per share to the current stock price.
### Growth Ratios
- **EPS 1yr Growth %**: Measures the percentage growth of earnings per share over the last year.
- **Revenue 1yr Growth %**: Evaluates the percentage growth of revenue over the last year.
- **Sustainable Growth Rate**: Indicates the growth rate a company can maintain without increasing debt, assessing sustainable growth using internal resources.
Utilize this indicator to streamline your analysis of financial performance and make informed trading decisions.
CAGR - Candle based BackTesterThe "CAGR - Candle based BackTester" is a tool for traders and investors seeking precise insights into individual candle performance!
Do you want to backtest based on candles and understand their CAGR? Curious about the average CAGR of all candles? Interested in comparing how an individual candle performs against others? Then this tool is your go-to solution.
How It Works:
Candle Selection: Specify a start date, and watch as the script tracks investments from that point forward.
Dynamic Calculations: Experience real-time CAGR calculations that adapt as market conditions evolve.
CAGR Display: At the final candle, gain insights into individual CAGR, average CAGR of all candles, alpha (difference), and outperformance percentage—all conveniently displayed for informed decision-making.
Key Features:
Accurate Candle-based CAGR Calculation: Gain clarity on investment performance with precise CAGR metrics.
Lumpsum Investment Tracking: Track lumpsum investments seamlessly with detailed share and investment calculations.
Outperformance Metrics: Measure how your investment performs relative to others with dedicated outperformance metrics.
User-Friendly Visualization: Access intuitive charts and visuals that simplify complex financial data.
ICT Market Structure Screener (Zeiierman)█ Overview
The ICT Market Structure Screener (Zeiierman) is designed to identify and display key market structure levels and patterns based on Smart Money Concepts. It highlights bullish and bearish structures, premium and discount levels, and generates alerts for significant market structure changes, making it a valuable tool for traders looking to understand institutional trading behaviors and market trends. A key feature of this indicator is its screener function, which allows traders to monitor multiple symbols simultaneously. This feature provides a consolidated view of the market structure for various assets, making it easier to identify trading opportunities across a diverse portfolio.
█ How It Works
The ICT Market Structure Screener operates by identifying high and low pivot points within a specified period, then analyzing these pivots to determine changes in market structure. The indicator tracks price movements and categorizes them into bullish or bearish structures, indicating potential trend reversals or continuations. By plotting premium and discount levels, it helps traders identify overbought and oversold conditions. The indicator also provides real-time updates and alerts for significant changes in the market structure.
█ Terminology
ChoCH (Change of Character): Indicates a potential reversal in market direction. It is identified when the price breaks a significant high or low, suggesting a shift from a bullish to bearish trend or vice versa.
SMS (Smart Money Shift): Represents the transition phase in market structure where smart money begins accumulating or distributing assets. It typically follows a BMS and indicates the start of a new trend.
BMS (Bullish/Bearish Market Structure): Confirms the trend direction. Bullish Market Structure (BMS) confirms an uptrend, while Bearish Market Structure (BMS) confirms a downtrend. It is characterized by a series of higher highs and higher lows (bullish) or lower highs and lower lows (bearish).
Premium: A zone where the price is considered overbought. It is calculated as the upper range of the current market structure and indicates a potential area for selling or shorting.
Mid Range: The midpoint between the high and low of the market structure. It often acts as a support or resistance level, helping traders identify potential reversal or continuation points.
Discount: A zone where the price is considered oversold. It is calculated as the lower range of the current market structure and indicates a potential area for buying or going long.
█ How to Use
The ICT Market Structure Screener allows traders to follow smart money moves in the market more effectively. By identifying key market levels and monitoring bullish and bearish structures, traders can easily spot trend changes and strong trends. The indicator's premium and discount levels help identify overbought and oversold conditions, providing valuable entry and exit points. Alerts for ChoCH, SMS, and BMS keep traders informed about significant market changes, enabling real-time adjustments to trading strategies.
The screener functionality is particularly valuable for monitoring multiple markets simultaneously. The screener table displays critical information such as current price, trend direction, signal type, and premium/discount levels for each symbol. This makes it easier to track the market structure of various assets at a glance and quickly identify trading opportunities across different markets.
Example Strategies:
⚪ Trend Following: Use the indicator to identify the current market trend (bullish or bearish) and trade in the direction of the trend. Enter trades on pullbacks to premium (for shorts) or discount (for longs) levels.
⚪ Reversal Trading: Look for ChoCH signals to identify potential trend reversals. Enter trades when the price breaks a significant high or low and confirms a change in market structure, or wait for a retest of the nearest Orderblock that was formed.
⚪ Support and Resistance: Utilize the mid-range, premium, and discount levels as support and resistance zones. Enter trades when the price approaches these levels and shows signs of reversal or continuation.
⚪ Multi-Symbol Analysis: Use the screener table to monitor multiple symbols and quickly assess their market structure. This helps in diversifying trading opportunities and managing a portfolio of assets efficiently.
█ Settings
Period: The pivot period for calculating the structure. Increasing the period captures broader trends, making the structure more representative of long-term movements. Decreasing the period focuses on shorter-term trends, increasing sensitivity.
Response: Enabling this option uses the response period instead of the pivot period, providing more flexibility in capturing short-term or long-term structures. The period for the response, which determines the structure's sensitivity. Increasing the response period smoothens the structure, making it less reactive to short-term fluctuations. Decreasing the response period makes the structure more responsive to short-term changes.
Structure Display: Choose between displaying the active range or the previous range. 'Active Range' shows real-time premium, discount, and mid-range levels based on the current structure. 'Previous Range' displays past ranges, useful for analyzing historical support/resistance levels.
Ticker Symbols: List of symbols to include in the screener. Enabling the option includes the symbol in the screener, allowing the user to track its structure. Disabling it excludes the symbol from the screener, reducing the number of tracked symbols.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Nebula SAR Echo📈 Overview:
The "Nebula SAR Echo" is a sophisticated technical analysis tool designed for traders seeking enhanced trend detection. This indicator combines the robust Parabolic SAR mechanism with gradient color coding to provide clear visual insights into market trends.
🎯 Key Features:
Advanced Parabolic SAR Calculation:
Utilizes dynamic coefficients for more responsive and accurate trend detection.
Highlights trend reversals with visual markers for immediate identification.
Gradient Color Coding:
Gradient colors dynamically reflect the strength and direction of the trend.
Bullish trends are represented in shades of green, while bearish trends are shown in shades of red.
User-Friendly Customization:
Easily adjustable parameters for acceleration factors and gradient color use.
💡 Benefits:
Enhanced Decision Making:
Combines real-time trend analysis to assist traders in making more informed decisions.
Visual Clarity:
Clear visual markers and gradient color coding simplify the interpretation of market trends.
Helps traders quickly identify key turning points and potential future price paths.
🔍 Use Cases:
Trend Identification:
Ideal for identifying ongoing trends and potential reversals in various market conditions.
Useful for both short-term trading strategies and long-term investment planning.
Risk Management:
Gradient color coding aids in assessing trend strength and potential volatility.
Traders can set more precise stop-loss and take-profit levels based on the trend strength.
⚙️ How to Use:
1. Parameter Setup:
Set the desired acceleration factors (start, increment, and max) for the Parabolic SAR.
Enable or disable gradient colors based on personal preference.
2. Interpretation:
Use the SAR values and gradient colors to gauge current market trends.
3. Alerts:
Set up alert conditions for bullish and bearish reversals to stay notified of significant market changes.
🔹 Conclusion:
The "Nebula SAR Echo" is a versatile and powerful tool for traders who require an in-depth analysis of market trends. By leveraging the advanced Parabolic SAR calculation and gradient color coding, this indicator provides a comprehensive view of market conditions, making it an indispensable addition to any trader's toolkit.
Risk CalculatorRisk Management Calculator
Created out of revenge against the difficulty of controlling psychology, greed, and risk management. Designed for cryptocurrency futures trading by following the risk management principles. Very welcome if there are suggestions and input to improve the quality of this "indicator". Please use wisely.
How to use:
1. Open indicator settings.
2. Fill out all the forms.
3. All of the information and calculation will appear on the label
4. You can adjust the three prices (target, entry, and stop) by clicking any part of the indicator. There will be three dots in the middle of the chart window (align with three prices). Click that dots and drag them up/down to customize according to your wishes. The price order must be correct, for LONG direction the price order from the top is target-entry-stop. Vice versa for SHORT direction. There will be "SETUP ERROR" text in the top-right box if the price order is not correct.
"Never, ever argue with your trading system." (by Michael Covel)
Easy Scalping Lot Calculator for ForexThe calculator was created to make it easier to calculate the lot size on Forex. I planned to use it for the following pairs: AUDCAD, AUDCHF, AUDJPY, AUDUSD, EURAUD, EURCAD, EURCHF, EURGBP, EURJPY, EURNZD, EURUSD, GBPCHF, GBPJPY, GBPUSD, NZDUSD, USDCAD, USDCHF, USDJPY, XAUUSD.
The indicator is a table that shows the calculation of the lot for a predetermined stop loss.
For example, you are planning a trade, have calculated a stop loss of 15 points, and by checking the table you understand approximately what lot you need to use to limit your risk.
In the settings you can change the risk and also determine the stop loss value in points.
The calculator does not take into account the spread in the calculations.
There are websites where you can accurately calculate the lot, but if you trade on small time frames this is not suitable for you.
The calculator uses the formula:
Lot size = maximum risk / stop loss (in pips) / minimum pip value x minimum trading lot.
Position Size Calculator for ContractDescription:
Position Size Calculator is a versatile Pine Script tool designed to help traders manage their risk and position sizing effectively. This script calculates essential trading metrics and visualizes them directly on your chart, helping you make informed trading decisions.
Features:
- Account Size & Risk Management:
- Account Size: Input your total account balance to calculate position sizes.
- Maximum Risk: Define how much of your account you are willing to risk per trade in dollars.
- Pip Value: Set the value of a single pip for one contract, which is crucial for calculating risk
and position size.
Trade Setup Visualization:
- Entry Price: Specify the price at which you plan to enter the trade.
- Stop Loss: Define your stop loss level to manage your risk.
- Take Profit: Set your target profit level for the trade.
- Visualize the Entry, Stop Loss, and Take Profit levels on your chart with customizable line
colors and text sizes.
- View the distance in pips between the Entry, Stop Loss, and Take Profit levels.
Position Size Calculation:
- Calculates the number of contracts to open based on your risk tolerance and the pip value.
- Displays the maximum number of contracts you can open given your risk parameters.
Customizable Table Display:
- Table Position: Choose the position of the summary table on the chart (Top-Left, Top-Right,
Bottom-Left, Bottom-Right, etc.).
- Table Text Size: Adjust the text size for the summary table.
- Table Background Color: Set the background color for the summary table.
- Table Border Color: Customize the border color of the summary table.
How to Use:
1- Input your Account Size: Enter your current account balance.
2- Set Maximum Risk and Pip Value: Define how much you're willing to risk per trade and the
pip value for your contract.
3- Define Trade Levels: Input your desired Entry Price, Stop Loss, and Take Profit levels.
4- Customize Visuals: Adjust the line styles and table settings to fit your preferences.
5- View Calculations: The script will display the distance in pips and the calculated position
size directly on your chart.
Example Usage:
Example to calculate the value of 1 pips with 1 contract:
Inputs:
Account Size: Your total trading account balance.
Maximum Risk: Risk amount per trade in dollars.
Pip Value: Value of one pip for a single contract.
Entry Price: The price at which you plan to enter the trade.
Stop Loss: The level at which you will exit the trade to cut losses.
Take Profit: The target price to lock in profits.
Line Text Size: Size of the text for the Entry, Stop Loss, and Take Profit lines.
Line Extend: Option to extend the lines for visual clarity.
Table Position: Position of the summary table on the chart.
Table Text Size: Size of the text in the summary table.
Table Background Color: Background color of the summary table.
Table Border Color: Border color of the summary table.
Visuals:
Entry Price, Stop Loss, and Take Profit levels are clearly marked on the chart.
Summary Table with important trade metrics displayed.
[INVX] Trailing StopDescription:
The Adjustable Trailing Stop Indicator is a practical tool designed to enhance your trading strategy by allowing for automatic modifications of stop-loss orders according to your specified parameters. This indicator provides a dynamic alternative to the traditional static stop-loss orders, assisting in managing your potential profits and curbing possible losses.
Features and Functionality:
The Trailing Stop Indicator provides three main inputs for customization:
"Trailing Stop Start Date" : This input enables you to set the start date for the trailing stop. From this date forward, the indicator begins tracking price changes and adjusts the stop-loss order in response.
"Trigger Delta (%)" : This represents the percentage for the trailing stop. It denotes the set percentage at which the stop order adjusts.
"Order" : This input determines whether the trailing stop applies to a Buy or Sell order. Depending on the selection, the indicator adjusts the stop price as the price escalates (for Sell order) or declines (for Buy order).
How Does the Trailing Stop Indicator Work?
The Trailing Stop Indicator functions by dynamically adjusting the stop price in line with market fluctuations. If the market price rises (for Sell order), the stop price automatically ascends, securing potential profits. In a declining market (for Buy order), the stop price descends according to the market.
This indicator eliminates the need for constant manual adjustments, reducing the impact of emotional trading and helping traders maintain their risk management strategy. By using this tool, traders can implement a more disciplined and systematic approach to trading.
BTC outperform atrategy### Code Description
This Pine Script™ code implements a simple trading strategy based on the relative prices of Bitcoin (BTC) on a weekly and a three-month basis. The script plots the weekly and three-month closing prices of Bitcoin on the chart and generates trading signals based on the comparison of these prices. The code can also be applied to Ethereum (ETH) with similar effectiveness.
### Explanation
1. **Inputs and Variables**:
- The user selects the trading symbol (default is "BINANCE:BTCUSDT").
- `weeklyPrice` retrieves the closing price of the selected symbol on a weekly interval.
- `monthlyPrice` retrieves the closing price of the selected symbol on a three-month interval.
2. **Plotting Data**:
- The weekly price is plotted in blue.
- The three-month price is plotted in red.
3. **Trading Conditions**:
- A long position is suggested if the weekly price is greater than the three-month price.
- A short position is suggested if the three-month price is greater than the weekly price.
4. **Strategy Execution**:
- If the long condition is met, the strategy enters a long position.
- If the short condition is met, the strategy enters a short position.
This script works equally well for Ethereum (ETH) by changing the symbol input to "BINANCE:ETHUSDT" or any other desired Ethereum trading pair.
Universal Algo [Coff3eG]Universal Algo By G
Overview:
Universal Algo By G is a comprehensive LONG-ONLY trading strategy specifically designed for medium to long-term use in cryptocurrency markets, particularly Bitcoin. This algorithm can be manually adjusted to fit the volatility of specific coins, ensuring the best possible results. While it does not generate a large number of trades due to the nature of bull and bear market cycles, it has been rigorously backtested and forward-tested to ensure the strategy is not overfitted.
Core Features:
Integrated Systems: Universal Algo is built around five core systems, each contributing unique analytical perspectives to enhance trade signal reliability. These systems are designed to identify clear trend opportunities for significant gains while also employing logic to navigate through ranging markets effectively.
Optional Ranging Market Filter: Helps filter out noise, potentially enhancing signal clarity.
Market State Detection: Identifies four distinct market states:
Trending
Ranging
Danger (Possible top)
Possible Bottom
Global Liquidity Indicator (GLI) Integration: Leverages GLI values to identify positive liquidity trends.
Volatility Bands: Provides insights into market volatility.
Top and Bottom Detection: Shows possible bottoms with green backgrounds and red backgrounds for possible top detection.
The Market State Detection, GLI, Volatility Bands, and Top and Bottom Detection feature all serve as an expectation management feature.
Additional Features:
Optional Metrics Table: Displays strategy metrics and statistics, providing detailed insights into performance.
Customization Options: The script offers a range of user inputs, allowing for customization of the backtesting starting date, the decision to display the strategy equity curve, among other settings. These inputs cater to diverse trading needs and preferences, offering users control over their strategy implementation.
Operational Parameters:
Customizable Inputs: Users can adjust thresholds to match the coin's volatility, enhancing strategy performance.
Transparency and Logic Insight: While specific calculation details and proprietary indicators are integral to maintaining the uniqueness of Universal Algo, the strategy is grounded on well-established financial analysis techniques. These include momentum analysis, volatility assessments, and adaptive thresholding, among others, to formulate its trade signals. Notably, no single indicator is used in isolation; each indicator is combined with another to enhance signal accuracy and robustness. Some of the indicators include customized versions of the TEMA, Supertrend, Augmented Dickey-Fuller (ADF), and Weekly Positive Directional Movement Index (WPDM), all integrated together to create a cohesive and effective trading strategy.
System Operation:
Universal Algo works by taking the average score of the five core systems used for the signals. Three of these systems have been lengthened out to function as longer-term systems, while the remaining two operate at a slightly faster speed. This combination and averaging of systems help to balance the overall strategy, ensuring it maintains the right amount of speed to remain effective for medium to long-term use with minimal noise. The average score is then compared against customizable thresholds. The strategy will go long if the average score is above the threshold and short if it is below the threshold. This averaging mechanism helps to smooth out individual system anomalies and provides a more robust signal for trading decisions.
Originality and Usefulness:
Universal Algo is an original strategy that combines multiple proprietary and customized indicators to deliver robust trading signals. The strategy integrates various advanced indicators and methodologies, including:
System Indicator: Calculates a cumulative score based on recent price movements, aiding in trend detection.
Median For Loop: Utilizes percentile rank calculations of price data to gauge market direction.
Volatility Stop: A modified volatility-based stop-loss indicator that adjusts based on market conditions.
Supertrend: A customized supertrend indicator that uses percentile ranks and ATR for trend detection.
RSI and DEMA: Combines a modified RSI and DEMA for overbought/oversold conditions.
TEMA: Uses 3 different types of MA for trend detection and standard deviation bands for additional confirmation.
Detailed Explanation of Components and Their Interaction:
RSI (Relative Strength Index): Used to identify overbought and oversold conditions. In Universal Algo, RSI is combined with DEMA (Double Exponential Moving Average) to smooth the price data and provide clearer signals.
ATR (Average True Range): Used to measure market volatility. ATR is incorporated into the Volatility Stop and Supertrend indicators to adjust stop-loss levels and trend detection based on current market conditions.
DEMA (Double Exponential Moving Average): Provides a smoother price trend compared to traditional moving averages, reducing lag and making it easier to identify trend changes.
Modified TEMA (Triple Exponential Moving Average): Similar to DEMA but provides even greater smoothing, reducing lag further and enhancing trend detection accuracy.
Volatility Stop: Utilizes ATR to dynamically set stop-loss levels that adapt to changing market volatility. This helps in protecting profits and minimizing losses.
Customized Supertrend: Uses ATR and percentile ranks to determine trend direction and strength. This indicator helps in capturing major trends while filtering out market noise.
Median For Loop: Calculates percentile ranks of price data over a specified period to assess market direction. This helps in identifying potential reversals and trend continuations.
HMA (Hull Moving Average): A fast-acting moving average that reduces lag while maintaining smoothness. It helps in quickly identifying trend changes.
SMA (Simple Moving Average): A traditional moving average that provides baseline trend information. Combined with HMA and other indicators, it forms a comprehensive trend detection system.
Universal Algo offers a sophisticated blend of advanced indicators and proprietary logic that is not available in free or open-source scripts. Here are some reasons why it is worth paying for:
Customization and Flexibility: The strategy provides a high degree of customization, allowing users to adjust various parameters to suit their trading style and market conditions. This flexibility is often not available in free scripts.
Proprietary Indicators: The use of proprietary and customized indicators such as the TEMA, Supertrend, ADF, and WPDM ensures that the strategy is unique and not replicable by free or open-source scripts.
Integrated Systems: The strategy combines multiple systems and indicators to provide a more comprehensive and reliable trading signal. This integration helps to smooth out anomalies and reduces noise, providing clearer trading opportunities.
Rigorous Testing: Universal Algo has undergone extensive backtesting and forward-testing to ensure its robustness and reliability. The results demonstrate its ability to perform well under various market conditions, offering users confidence in its effectiveness.
Detailed Metrics and Analysis: The optional metrics table provides users with detailed insights into the strategy's performance, including metrics like equity, drawdown, Sharpe ratio, and more. This level of detail helps traders make informed decisions.
Value Addition: By providing a strategy that combines advanced indicators, customization options, and thorough testing, Universal Algo adds significant value to traders looking for a reliable and adaptable trading tool.
Realistic Trading Conditions:
Backtesting and Forward-Testing: Rigorous testing ensures performance and reliability, with a focus on prudent risk management. Default properties include an initial capital of $1000, 0 pyramiding, 20 slippage, 0.05% commission, and using 5% of equity for trades.
The strategy is designed and tested with a focus on achieving a balance between risk and reward, striving for robustness and reliability rather than unrealistic profitability promises. Realistic trading conditions are considered, including appropriate account size, commission, slippage, and sustainable risk levels per trade.
Concluding Thoughts:
Universal Algo By G is offered to the TradingView community as a robust tool for enhancing market analysis and trading strategies. It is designed with a commitment to quality, innovation, and adaptability, aiming to provide valuable insights and decision support across various market conditions. Potential users are encouraged to evaluate Universal Algo within the context of their overall trading approach and objectives.
Analyst Table (Zeiierman)█ Overview
The Analyst Table (Zeiierman) provides a comprehensive visual representation of analyst estimates and recommendations for any stock. This indicator displays crucial analyst data, including the highest, average, and lowest price targets, directly on the price chart. Additionally, it features a well-organized table summarizing various types of analyst recommendations, offering traders valuable insights into market sentiment and expectations. This tool is ideal for traders seeking a quick overview of analyst opinions and recommendations on specific stocks.
█ How It Works
The indicator works by retrieving analyst data such as price targets and recommendations from the TradingView data feed. It visually represents these estimates on the chart and creates a structured table for easy reference, consolidating all the information in an organized format.
Key Components:
High Estimate Line: A dotted line representing the highest price target.
Low Estimate Line: A dotted line representing the lowest price target.
Target Estimate Box: A box representing the range between the average and median price targets.
Analyst Table: A table displaying detailed information about various analyst recommendations and price targets.
█ How to Use
Traders can use this indicator to gain insights into the expectations of financial analysts regarding the future performance of an asset. By observing the highest, lowest, and average price targets, traders can assess the range of possible future prices as predicted by analysts. The recommendation table helps in understanding the general sentiment among analysts, whether it's bullish, bearish, or neutral.
Visual Analysis: Use the visual indicators to quickly gauge where the current price stands relative to analyst targets.
Sentiment Assessment: Refer to the table to understand the distribution of buy, hold, and sell recommendations.
█ Settings
The indicator settings allow users to enable or disable different target lines, select colors for the lines and table cells, and choose the position and size of the analyst table on the chart.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Oster's Investment Plan (OIP)Oster's Investment Plan (OIP) is a versatile and powerful tool designed to help traders and investors create and evaluate their long-term investment strategies . Unlike many conventional investment tools, OIP emphasizes customization, allowing users to design personalized savings plans and compare the performance of their portfolios against chosen benchmarks. Whether you're setting up a new investment plan or analyzing an existing one, OIP provides comprehensive insights into your portfolio's growth and performance.
Tailored Investment Planning:
OIP enables users to create customized savings plans with up to five assets from any available on TradingView. This feature offers unparalleled flexibility in asset selection, allowing investors to diversify their portfolios across various markets and asset classes. With OIP , users can freely determine the weighting of each asset, ensuring the portfolio aligns with their individual investment strategies and risk preferences .
Comprehensive Fee and Cost Analysis:
One of OIPs standout features is its ability to factor in nearly all cost components associated with investing. This includes annual deposit fees, fees on savings rates, tax deductions on dividend payouts, potential savings rate dynamics, and the Total Expense Ratio (TER) of funds. By considering these costs, OIP provides a realistic and accurate projection of your portfolio's growth, helping you identify the most cost-effective broker or investment platform .
Benchmark Comparison:
OIP allows users to select any benchmark to compare their portfolio's performance. This feature enables investors to gauge their portfolio's returns against broader market indices or specific sector benchmarks, providing valuable insights into the effectiveness of their investment strategy. The ability to choose and change benchmarks ensures that OIP remains relevant and adaptable to different investment goals and market conditions.
Reinvestment of Dividends:
For investors who prefer to reinvest their dividends, OIP can incorporate annual dividend reinvestments into the portfolio's growth curve . This feature accounts for the compounding effect of reinvested dividends, offering a more accurate representation of potential portfolio performance over time.
Use Cases:
Creating a Personalized Savings Plan:
With OIP , users can design a personalized savings plan tailored to their financial goals and investment horizon. By selecting up to five assets and determining their weightings, investors can create a diversified portfolio that suits their risk tolerance and investment preferences. OIP then calculates the potential growth of the portfolio, factoring in all relevant costs and fees, to provide a clear picture of the expected returns.
Evaluating Broker Fees:
For those who have already established a long-term investment plan, OIP can be used to compare the costs associated with different brokerage platforms . By inputting the fee structures of various brokers, investors can identify the most cost-effective option, ensuring that they maximize their returns by minimizing fees and expenses.
Sophisticated Calculation Methodology:
OIP employs a robust calculation methodology to derive its insights. It takes into account the initial investment, recurring deposits, fees, taxes, and the performance of the selected assets. The tool adjusts for annual deposit fees, dynamic savings rates, and the reinvestment of dividends, providing a detailed and nuanced evaluation of the portfolio's performance.
Interpretation:
OIP plots the total equity of the savings plan and the chosen benchmark , allowing users to visually compare the performance of their portfolio against the benchmark. The tool also displays the total invested amount , helping investors track their contributions and returns over time. Dynamic color coding enhances visual clarity, with the savings plan and benchmark differentiated by distinct colors for easy interpretation.
Conclusion:
Oster's Investment Plan (OIP) represents a significant advancement in investment planning and portfolio analysis. By offering customizable parameters, comprehensive fee considerations, and benchmark comparisons, OIP equips investors with a powerful tool for creating and evaluating their investment strategies. Whether you're a seasoned investor or new to the market, OIP provides invaluable insights that can inform and enrich your investment journey.
By integrating these features, OIP stands out as a sophisticated and user-friendly tool for managing and optimizing investment portfolios. Its emphasis on customization, detailed cost analysis, and flexible benchmarking makes it an essential resource for any investor looking to maximize their returns and achieve their financial goals.
Long/Short Entry with Customizable TP/SLThis TradingView indicator is designed to help traders visualize potential trade entries along with their corresponding stop-loss (SL) and take-profit (TP) levels. It offers a high degree of customization, allowing users to:
Choose Entry Type: Select whether the anticipated trade is a Long or Short position.
Set Entry Price: Specify the exact price level at which you intend to enter the trade.
Customize TP/SL:
Enable/Disable: Choose whether to include a stop-loss (SL) and up to five take-profit (TP) levels.
Distance: Set the distance (in price points) for each SL and TP level from the entry price.
Add/Update Trade: Clicking the "Add/Update Trade" button will plot the entry line, SL line (if enabled), and TP lines (if enabled) on the chart, along with their corresponding labels. The lines and boxes will start two candles before the current bar and extend into the future.
Reset Trade: Clicking the "Reset Trade" button will clear all the lines, boxes, and labels from the chart, allowing you to start fresh with a new trade idea.
Visual Cues:
The indicator uses color-coded lines and boxes to distinguish between entry, SL, and TP levels.
Labels are provided next to each line, displaying the type of level (e.g., "Entry," "SL," "TP1") and its corresponding price.
Key Features:
Highly Customizable: Tailor the indicator to your specific trading style and risk management preferences.
Visual Clarity: Clearly visualize potential trade setups and their outcomes.
Easy to Use: The intuitive interface makes it simple to add, update, and reset trades.
Flexibility: Supports both long and short positions.
Limitations:
The indicator is designed for visualization and planning purposes only. It does not automatically execute trades.
The simulated "Add Trade" and "Reset Trade" buttons require manual unchecking after each click.
Rolling Correlation with Bitcoin V1.1 [ADRIDEM]Overview
The Rolling Correlation with Bitcoin script is designed to offer a comprehensive view of the correlation between the selected ticker and Bitcoin. This script helps investors understand the relationship between the performance of the current ticker and Bitcoin over a rolling period, providing insights into their interconnected behavior. Below is a detailed presentation of the script and its unique features.
Unique Features of the New Script
Bitcoin Comparison : Allows users to compare the correlation of the current ticker with Bitcoin, providing an analysis of their relationship.
Customizable Rolling Window : Enables users to set the length for the rolling window, adapting to different market conditions and timeframes. The default value is 252 bars, which approximates one year of trading days, but it can be adjusted as needed.
Smoothing Option : Includes an option to apply a smoothing simple moving average (SMA) to the correlation coefficient, helping to reduce noise and highlight trends. The smoothing length is customizable, with a default value of 4 bars.
Visual Indicators : Plots the smoothed correlation coefficient between the current ticker and Bitcoin, with distinct colors for easy interpretation. Additionally, horizontal lines help identify key levels of correlation.
Dynamic Background Color : Adds dynamic background colors to highlight areas of strong positive and negative correlations, enhancing visual clarity.
Originality and Usefulness
This script uniquely combines the analysis of rolling correlation for a current ticker with Bitcoin, providing a comparative view of their relationship. The inclusion of a customizable rolling window and smoothing option enhances its adaptability and usefulness in various market conditions.
Signal Description
The script includes several features that highlight potential insights into the correlation between the assets:
Rolling Correlation with Bitcoin : Plotted as a red line, this represents the smoothed rolling correlation coefficient between the current ticker and Bitcoin.
Horizontal Lines and Background Color : Lines at -0.5, 0, and 0.5 help to quickly identify regions of strong negative, weak, and strong positive correlations.
These features assist in identifying the strength and direction of the relationship between the current ticker and Bitcoin.
Detailed Description
Input Variables
Length for Rolling Window (`length`) : Defines the range for calculating the rolling correlation coefficient. Default is 252.
Smoothing Length (`smoothing_length`) : The number of periods for the smoothing SMA. Default is 4.
Bitcoin Ticker (`bitcoin_ticker`) : The ticker symbol for Bitcoin. Default is "BINANCE:BTCUSDT".
Functionality
Correlation Calculation : The script calculates the daily returns for both Bitcoin and the current ticker and computes their rolling correlation coefficient.
```pine
bitcoin_close = request.security(bitcoin_ticker, timeframe.period, close)
bitcoin_dailyReturn = ta.change(bitcoin_close) / bitcoin_close
current_dailyReturn = ta.change(close) / close
rolling_correlation = ta.correlation(current_dailyReturn, bitcoin_dailyReturn, length)
```
Smoothing : A simple moving average is applied to the rolling correlation coefficient to smooth the data.
```pine
smoothed_correlation = ta.sma(rolling_correlation, smoothing_length)
```
Plotting : The script plots the smoothed rolling correlation coefficient and includes horizontal lines for key levels.
```pine
plot(smoothed_correlation, title="Rolling Correlation with Bitcoin", color=color.rgb(255, 82, 82, 50), linewidth=2)
h_neg1 = hline(-1, "-1 Line", color=color.gray)
h_neg05 = hline(-0.5, "-0.5 Line", color=color.red)
h0 = hline(0, "Zero Line", color=color.gray)
h_pos05 = hline(0.5, "0.5 Line", color=color.green)
h1 = hline(1, "1 Line", color=color.gray)
fill(h_neg1, h_neg05, color=color.rgb(255, 0, 0, 90), title="Strong Negative Correlation Background")
fill(h_neg05, h0, color=color.rgb(255, 165, 0, 90), title="Weak Negative Correlation Background")
fill(h0, h_pos05, color=color.rgb(255, 255, 0, 90), title="Weak Positive Correlation Background")
fill(h_pos05, h1, color=color.rgb(0, 255, 0, 90), title="Strong Positive Correlation Background")
```
How to Use
Configuring Inputs : Adjust the rolling window length and smoothing length as needed. Ensure the Bitcoin ticker is set to the desired asset for comparison.
Interpreting the Indicator : Use the plotted correlation coefficient and horizontal lines to assess the strength and direction of the relationship between the current ticker and Bitcoin.
Signal Confirmation : Look for periods of strong positive or negative correlation to identify potential co-movements or divergences. The background colors help to highlight these key levels.
This script provides a detailed comparative view of the correlation between the current ticker and Bitcoin, aiding in more informed decision-making by highlighting the strength and direction of their relationship.
Rolling Calmar Ratio with Ref Ticker V1.0 [ADRIDEM]Overview
The Rolling Calmar Ratio with Ref Ticker script is designed to offer a comprehensive view of the Calmar ratios for a selected reference ticker and the current ticker. This script helps investors compare risk-adjusted returns between two assets over a rolling period, providing insights into their relative performance and risk. Below is a detailed presentation of the script and its unique features.
Unique Features of the New Script
Reference Ticker Comparison : Allows users to compare the Calmar ratio of the current ticker with a reference ticker, providing a relative performance analysis. Default ticker is BTCUSDT but can be changed.
Customizable Rolling Window : Enables users to set the length for the rolling window, adapting to different market conditions and timeframes. The default value is 252 bars, which approximates one year of trading days, but it can be adjusted as needed.
Smoothing Option : Includes an option to apply a smoothing simple moving average (SMA) to the Calmar ratios, helping to reduce noise and highlight trends. The smoothing length is customizable, with a default value of 14 bars.
Visual Indicators : Plots the smoothed Calmar ratios for both the reference ticker and the current ticker, with distinct colors for easy comparison. Additionally, a horizontal line helps identify key levels.
Dynamic Background Color : Adds a gray-blue transparent background between the Calmar ratio levels of 0 and 1, highlighting the critical region where risk-adjusted returns are assessed.
Originality and Usefulness
This script uniquely combines the analysis of Calmar ratios for a reference ticker and the current ticker, providing a comparative view of their risk-adjusted returns. The inclusion of a customizable rolling window and smoothing option enhances its adaptability and usefulness in various market conditions.
Signal Description
The script includes several features that highlight potential insights into the risk-adjusted returns of the assets:
Reference Ticker Calmar Ratio : Plotted as a red line, this represents the smoothed Calmar ratio for the user-selected reference ticker.
Current Ticker Calmar Ratio : Plotted as a white line, this represents the smoothed Calmar ratio for the current ticker.
Horizontal Lines and Background Color : A line at 0 helps to quickly identify the regions of positive and negative risk-adjusted returns.
These features assist in identifying relative performance differences and confirming the strength or weakness of risk-adjusted returns between the two tickers.
Detailed Description
Input Variables
Length for Rolling Window (`length`) : Defines the range for calculating the rolling Calmar ratio. Default is 252.
Smoothing Length (`smoothing_length`) : The number of periods for the smoothing SMA. Default is 14.
Reference Ticker (`ref_ticker`) : The ticker symbol for the reference asset. Default is "BINANCE:BTCUSDT".
Functionality
Calmar Ratio Calculation : The script calculates the cumulative returns and maximum drawdown for both the reference ticker and the current ticker. These values are used to compute the Calmar ratio.
```pine
ref_cumulativeReturn = (ref_close / ta.valuewhen(ta.lowest(ref_close, length) == ref_close, ref_close, 0)) - 1
ref_rollingMax = ta.highest(ref_close, length)
ref_drawdown = (ref_close - ref_rollingMax) / ref_rollingMax
ref_maxDrawdown = ta.lowest(ref_drawdown, length)
ref_calmarRatio = ref_cumulativeReturn / math.abs(ref_maxDrawdown)
current_cumulativeReturn = (close / ta.valuewhen(ta.lowest(close, length) == close, close, 0)) - 1
current_rollingMax = ta.highest(close, length)
current_drawdown = (close - current_rollingMax) / current_rollingMax
current_maxDrawdown = ta.lowest(current_drawdown, length)
current_calmarRatio = current_cumulativeReturn / math.abs(current_maxDrawdown)
```
Smoothing : A simple moving average is applied to the Calmar ratios to smooth the data.
```pine
smoothed_ref_calmarRatio = ta.sma(ref_calmarRatio, smoothing_length)
smoothed_current_calmarRatio = ta.sma(current_calmarRatio, smoothing_length)
```
Plotting : The script plots the smoothed Calmar ratios for both the reference ticker and the current ticker, along with a horizontal line.
```pine
plot(smoothed_ref_calmarRatio, title="Ref Ticker Calmar Ratio", color=color.rgb(255, 82, 82, 50), linewidth=2)
plot(smoothed_current_calmarRatio, title="Current Ticker Calmar Ratio", color=color.white, linewidth=2)
h0 = hline(0, "Zero Line", color=color.gray)
fill(h0, h1, color=color.rgb(33, 150, 243, 90), title="Background")
```
How to Use
Configuring Inputs : Adjust the detection length and smoothing length as needed. Set the reference ticker to the desired asset for comparison.
Interpreting the Indicator : Use the plotted Calmar ratios and horizontal line to assess the relative risk-adjusted returns of the reference and current tickers.
Signal Confirmation : Look for differences in the Calmar ratios to identify potential performance advantages or weaknesses. The horizontal line helps to highlight key levels of risk-adjusted returns.
This script provides a detailed comparative view of risk-adjusted returns, aiding in more informed decision-making by highlighting key differences between the reference ticker and the current ticker.
Rolling Sortino Ratio with Ref Ticker V1.0 [ADRIDEM]Overview
The Rolling Sortino Ratio with Ref Ticker script is designed to offer a comprehensive view of the Sortino ratios for a selected reference ticker and the current ticker. This script helps investors compare risk-adjusted returns between two assets over a rolling period, providing insights into their relative performance and risk. Below is a detailed presentation of the script and its unique features.
Unique Features of the New Script
Reference Ticker Comparison : Allows users to compare the Sortino ratio of the current ticker with a reference ticker, providing a relative performance analysis. Default ticker is BTCUSDT but can be changed.
Customizable Rolling Window : Enables users to set the length for the rolling window, adapting to different market conditions and timeframes. The default value is 252 bars, which approximates one year of trading days, but it can be adjusted as needed.
Smoothing Option : Includes an option to apply a smoothing simple moving average (SMA) to the Sortino ratios, helping to reduce noise and highlight trends. The smoothing length is customizable, with a default value of 4 bars.
Visual Indicators : Plots the smoothed Sortino ratios for both the reference ticker and the current ticker, with distinct colors for easy comparison. Additionally, horizontal lines and a shaded background help identify key levels.
Dynamic Background Color : Adds a gray-blue transparent background between the Sortino ratio levels of 0 and 1, highlighting the critical region where risk-adjusted returns are assessed.
Originality and Usefulness
This script uniquely combines the analysis of Sortino ratios for a reference ticker and the current ticker, providing a comparative view of their risk-adjusted returns. The inclusion of a customizable rolling window and smoothing option enhances its adaptability and usefulness in various market conditions.
Signal Description
The script includes several features that highlight potential insights into the risk-adjusted returns of the assets:
Reference Ticker Sortino Ratio : Plotted as a red line, this represents the smoothed Sortino ratio for the user-selected reference ticker.
Current Ticker Sortino Ratio : Plotted as a white line, this represents the smoothed Sortino ratio for the current ticker.
Horizontal Lines and Background Color : Lines at 0 and 1, along with a shaded background between these levels, help to quickly identify the regions of positive and strong risk-adjusted returns.
These features assist in identifying relative performance differences and confirming the strength or weakness of risk-adjusted returns between the two tickers.
Detailed Description
Input Variables
Length for Rolling Window (`length`) : Defines the range for calculating the rolling Sortino ratio. Default is 252.
Smoothing Length (`smoothing_length`) : The number of periods for the smoothing SMA. Default is 4.
Annual Risk-Free Rate (`riskFreeRate`) : The annual risk-free rate used in the Sortino ratio calculation. Default is 0.02 (2%).
Reference Ticker (`ref_ticker`) : The ticker symbol for the reference asset. Default is "BINANCE:BTCUSDT".
Functionality
Sortino Ratio Calculation : The script calculates the daily returns, mean return, and downside deviation for both the reference ticker and the current ticker. These values are used to compute the annualized Sortino ratio.
```pine
ref_dailyReturn = ta.change(ref_close) / ref_close
ref_meanReturn = ta.sma(ref_dailyReturn, length)
ref_downsideDeviation = ta.stdev(math.min(ref_dailyReturn, 0), length)
ref_annualizedReturn = ref_meanReturn * length
ref_annualizedDownsideDev = ref_downsideDeviation * math.sqrt(length)
ref_sortinoRatio = (ref_annualizedReturn - riskFreeRate) / ref_annualizedDownsideDev
```
Smoothing : A simple moving average is applied to the Sortino ratios to smooth the data.
```pine
smoothed_ref_sortinoRatio = ta.sma(ref_sortinoRatio, smoothing_length)
smoothed_current_sortinoRatio = ta.sma(current_sortinoRatio, smoothing_length)
```
Plotting : The script plots the smoothed Sortino ratios for both the reference ticker and the current ticker, along with horizontal lines and a shaded background.
```pine
plot(smoothed_ref_sortinoRatio, title="Ref Ticker Sortino Ratio", color=color.rgb(255, 82, 82, 50), linewidth=2)
plot(smoothed_current_sortinoRatio, title="Current Ticker Sortino Ratio", color=color.white, linewidth=2)
h0 = hline(0, "Zero Line", color=color.gray)
h1 = hline(1, "One Line", color=color.gray)
fill(h0, h1, color=color.rgb(33, 150, 243, 90), title="Background")
```
How to Use
Configuring Inputs : Adjust the detection length, smoothing length, and risk-free rate as needed. Set the reference ticker to the desired asset for comparison.
Interpreting the Indicator : Use the plotted Sortino ratios and background shading to assess the relative risk-adjusted returns of the reference and current tickers.
Signal Confirmation : Look for differences in the Sortino ratios to identify potential performance advantages or weaknesses. The background shading helps to highlight key levels of risk-adjusted returns.
This script provides a detailed comparative view of risk-adjusted returns, aiding in more informed decision-making by highlighting key differences between the reference ticker and the current ticker.
Rolling Sharpe Ratio with Ref Ticker V1.0 [ADRIDEM]Overview
The Rolling Sharpe Ratio with Ref Ticker script is designed to offer a comprehensive view of the Sharpe ratios for a selected reference ticker and the current ticker. This script helps investors compare risk-adjusted returns between two assets over a rolling period, providing insights into their relative performance and risk. Below is a detailed presentation of the script and its unique features.
Unique Features of the New Script
Reference Ticker Comparison : Allows users to compare the Sharpe ratio of the current ticker with a reference ticker, providing a relative performance analysis. Default ticker is BTCUSDT but can be changed.
Customizable Rolling Window : Enables users to set the length for the rolling window, adapting to different market conditions and timeframes. The default value is 252 bars, which approximates one year of trading days, but it can be adjusted as needed.
Smoothing Option : Includes an option to apply a smoothing simple moving average (SMA) to the Sharpe ratios, helping to reduce noise and highlight trends. The smoothing length is customizable, with a default value of 4 bars.
Visual Indicators : Plots the smoothed Sharpe ratios for both the reference ticker and the current ticker, with distinct colors for easy comparison. Additionally, horizontal lines and a shaded background help identify key levels.
Dynamic Background Color : Adds a gray-blue transparent background between the Sharpe ratio levels of 0 and 1, highlighting the critical region where risk-adjusted returns are assessed.
Originality and Usefulness
This script uniquely combines the analysis of Sharpe ratios for a reference ticker and the current ticker, providing a comparative view of their risk-adjusted returns. The inclusion of a customizable rolling window and smoothing option enhances its adaptability and usefulness in various market conditions.
Signal Description
The script includes several features that highlight potential insights into the risk-adjusted returns of the assets:
Reference Ticker Sharpe Ratio : Plotted as a red line, this represents the smoothed Sharpe ratio for the user-selected reference ticker.
Current Ticker Sharpe Ratio : Plotted as a white line, this represents the smoothed Sharpe ratio for the current ticker.
Horizontal Lines and Background Color : Lines at 0 and 1, along with a shaded background between these levels, help to quickly identify the regions of positive and strong risk-adjusted returns.
These features assist in identifying relative performance differences and confirming the strength or weakness of risk-adjusted returns between the two tickers.
Detailed Description
Input Variables
Length for Rolling Window (`length`) : Defines the range for calculating the rolling Sharpe ratio. Default is 252.
Smoothing Length (`smoothing_length`) : The number of periods for the smoothing SMA. Default is 4.
Annual Risk-Free Rate (`riskFreeRate`) : The annual risk-free rate used in the Sharpe ratio calculation. Default is 0.02 (2%).
Reference Ticker (`ref_ticker`) : The ticker symbol for the reference asset. Default is "BINANCE:BTCUSDT".
Functionality
Sharpe Ratio Calculation : The script calculates the daily returns, mean return, and standard deviation for both the reference ticker and the current ticker. These values are used to compute the annualized Sharpe ratio.
```pine
ref_dailyReturn = ta.change(ref_close) / ref_close
ref_meanReturn = ta.sma(ref_dailyReturn, length)
ref_stdDevReturn = ta.stdev(ref_dailyReturn, length)
ref_annualizedReturn = ref_meanReturn * length
ref_annualizedStdDev = ref_stdDevReturn * math.sqrt(length)
ref_sharpeRatio = (ref_annualizedReturn - riskFreeRate) / ref_annualizedStdDev
```
Smoothing : A simple moving average is applied to the Sharpe ratios to smooth the data.
```pine
smoothed_ref_sharpeRatio = ta.sma(ref_sharpeRatio, smoothing_length)
smoothed_current_sharpeRatio = ta.sma(current_sharpeRatio, smoothing_length)
```
Plotting : The script plots the smoothed Sharpe ratios for both the reference ticker and the current ticker, along with horizontal lines and a shaded background.
```pine
plot(smoothed_ref_sharpeRatio, title="Ref Ticker Sharpe Ratio", color=color.rgb(255, 82, 82, 50), linewidth=2)
plot(smoothed_current_sharpeRatio, title="Current Ticker Sharpe Ratio", color=color.white, linewidth=2)
h0 = hline(0, "Zero Line", color=color.gray)
h1 = hline(1, "One Line", color=color.gray)
fill(h0, h1, color=color.rgb(33, 150, 243, 90), title="Background")
```
How to Use
Configuring Inputs : Adjust the detection length, smoothing length, and risk-free rate as needed. Set the reference ticker to the desired asset for comparison.
Interpreting the Indicator : Use the plotted Sharpe ratios and background shading to assess the relative risk-adjusted returns of the reference and current tickers.
Signal Confirmation : Look for differences in the Sharpe ratios to identify potential performance advantages or weaknesses. The background shading helps to highlight key levels of risk-adjusted returns.
This script provides a detailed comparative view of risk-adjusted returns, aiding in more informed decision-making by highlighting key differences between the reference ticker and the current ticker.
High Probability OS/OB {DCAquant}DCAquant - High Probability OS/OB
The DCAquant - High Probability OS/OB Pine Script is a sophisticated indicator that provides insights into overbought (OB) and oversold (OS) conditions based on Hull Moving Averages (HMA) and Volume Weighted Moving Averages (VWMA). Here's a detailed breakdown of its functionality:
-------------------------------------------------------------------------------------
THIS INDICATOR IS ONLY WRITTEN FOR BTC, ETH and TOTAL!!!!!!!!!!!!!
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Functionality
The script identifies high-probability OB and OS zones by combining multiple moving averages (MAs).
1. Volume Weighted Moving Average (VWMA)
The VWMA function computes the VWMA over a specified length, incorporating both the price and volume.
2. Hull Moving Average with Volume Weight (HMA-VW)
The hullma_vw function calculates the HMA using the VWMA. This involves:
Computing VWMAs over the full length and half-length.
Using these VWMAs to derive the HMA-VW through a weighted approach.
5. Standard Hull Moving Average (HMA)
The hull function computes the HMA using the standard weighted moving average (WMA).
4. Smoothed HMA-VW
This is an Exponential Moving Average (EMA) of the HMA-VW to smooth out short-term fluctuations.
How this works
First, the distance between the 2 MA's is calculated.
The distance is scored against the average price of the last 100 days.
By getting this score we can calculate extremes
The Extremes are categorized into 4 levels. The transparency of the background color distinguishes these 4 levels.
Only the MOST extremes are plotted ON THE CHART. Within the indicator, all 4 levels are plotted.
Usage
Extreme Buy zone: Consider entering the market when the indicator shows deep negative values (oversold). These are highlighted with a cyan background, with increasing opacity indicating stronger buy signals (Level 4 Zones).
Extreme Sell Zone: Consider exiting the market when the indicator shows high positive values (overbought). These are highlighted with a magenta background, with increasing opacity indicating stronger sell signals (Level 4 Zones).
Disclaimer
This indicator should not be used in isolation. It is recommended to use this as part of a systematic approach, incorporating other tools and analysis methods to confirm signals and make well-informed trading decisions.
Position Sizing Tool - Fixed Loss - Multi Asset [RSC]
This script is an Multi Asset measurement tool that can be used to evaluate or keep track of trades. Like the long and short position drawing tools, it calculates a risk reward ratio and a risk-adjusted position size from multiple entries (4 maximum), stop and take profit multiple levels ( 4 maximum) , but it also does much more:
• It can be used to configure long or short trades.
• All monetary values can be expressed in any number of currencies.
• The value of tick/pip movement (which varies with the position's size) is displayed in the currency you have selected.
• It does live tracking of the position.
• You can configure alerts on entries and exits.
█ HOW TO USE IT
Load the indicator on an active chart.
When you first load this script on a chart, you are able specify following parameter
• Account Balance
• Account currency.
And for each asset (Max 8):
• Symbols Ticker (and Exchange)
• Risk per trade (% or Amount base on Account Currency)
• Account Size
• Entry Time
• Entry levels (Max. 4)
• Leverage (only works for crypto) (same leverage for all entries)
• Stop loss level.
• Take profit level (Max. 4)
• Exit level percentage (Max. 4)
Once you have entered (or modify) parameters, the script will draw trade zones and levels labels containing the trade metrics:
• determines if the trade is a long or short from the position of the take profit and stop loss levels in relation to the entry price. If the take profit level is above the entry price, the stop must be below and vice versa, otherwise an error occurs.
• You can change levels by entering new values in the script's settings.
Once you place the position tool on a chart, it will appear at the same levels on symbols that you selected in script setting and nothing showed up for other symbols.
If your scale is not set to "Scale price chart only", the position tool's levels will be taken into account when scaling the chart, which can cause the symbol's bars to be compressed. If your scale is set to "Scale price chart only", the position tool will still be there, but it will not impact the scale of the chart's bars, so you won't see it if it sits outside the symbol's price scale.
█ FEATURES
Display
The position tool displays the following information for entries:
• The price level with “ Stoploss/Entry/Target” sign before it.
• Open or Closed P&L: For an open trade, the "Open P&L" displays the difference in money value between the entry level and the chart's current price.
For a closed trade, the "Closed P&L" displays the realized P&L on the trade.
• Quantity: The trade size, which takes into account the risk tolerance you set in the script's settings.
• RR: The reward to risk ratio expresses the relationship of the distance between the entry and the take profit level vs the entry and the stop level.
Example: A $100 stop with a $100 target will have a ratio of 1:1, whereas a $200 target with the same stop will have a 2:1 ratio.
• Per tick/pip: Represents the money value of a tick or pip movement.
• Their distance from the entry in money value, percentage and ticks/pips.
• The projected end money value of the position if the level is reached. These values are calculated based on the trade size and the currency.
█ Currency adjustments
This indicator modifies the trade label's colors and values based on the final Profit and Loss (P&L), which considers the dynamic exchange rate between base and conversion currencies in its calculations when the conversion currency is a specified value other than the default. Depending on the cross rate between the base and account currencies, this process can yield a negative P&L on an otherwise successful simulated trade.
For instance, if your account is in currency XYZ, you might buy 10 Apple shares at $150 each, with the XYZ to USD exchange rate being 2:1. This purchase would cost you 3000 units of XYZ. Suppose that later on, the shares appreciate to $170 each, and you decide to sell. One might expect this trade to result in profit. However, if the exchange rate has now equalized to 1:1, the return on selling the shares, calculated in XYZ, would only be 1700 units, resulting in a loss of 1300 units XYZ.
The indicator will mark the P&L and the target labels in red in such cases, regardless of whether the market price reached the profit target, as the trade produced a net loss due to reduced funds after currency conversion. Conversely, an otherwise unsuccessful position can result in a net profit in the account currency due to conversion rate fluctuations. The final losses or gains appear in the label metrics, and the corresponding color coding reflects the trade's success or failure.
█ Settings
The settings in the "Trade sizing" section are used to calculate the position size and the monetary value of trades. Two types of risk can be chosen from the menu; a percentage based risk calculation, or a fixed money value. The risk is used to calculate the quantity of units to purchase to achieve that level of risk exposure. Example: An account size of $1000 and 10% risk will have a projected end amount of $900 if the stop loss is hit. The quantity is a product of this relationship; a projected number of units to allow for the equivalent of $100 of risk exposure over the change in price from the entry to the stop value.
You can control the appearance of the tool and the values it displays in the settings following these first two sections.
Wolf DCA CalculatorThe Wolf DCA Calculator is a powerful and flexible indicator tailored for traders employing the Dollar Cost Averaging (DCA) strategy. This tool is invaluable for planning and visualizing multiple entry points for both long and short positions. It also provides a comprehensive analysis of potential profit and loss based on user-defined parameters, including leverage.
Features
Entry Price: Define the initial entry price for your trade.
Total Lot Size: Specify the total number of lots you intend to trade.
Percentage Difference: Set the fixed percentage difference between each DCA point.
Long Position: Toggle to switch between long and short positions.
Stop Loss Price: Set the price level at which you plan to exit the trade to minimize losses.
Take Profit Price: Set the price level at which you plan to exit the trade to secure profits.
Leverage: Apply leverage to your trade, which multiplies the potential profit and loss.
Number of DCA Points: Specify the number of DCA points to strategically plan your entries.
How to Use
1. Add the Indicator to Your Chart:
Search for "Wolf DCA Calculator" in the TradingView public library and add it to your chart.
2. Configure Inputs:
Entry Price: Set your initial trade entry price.
Total Lot Size: Enter the total number of lots you plan to trade.
Percentage Difference: Adjust this to set the interval between each DCA point.
Long Position: Use this toggle to choose between a long or short position.
Stop Loss Price: Input the price level at which you plan to exit the trade to minimize losses.
Take Profit Price: Input the price level at which you plan to exit the trade to secure profits.
Leverage: Set the leverage you are using for the trade.
Number of DCA Points: Specify the number of DCA points to plan your entries.
3. Analyze the Chart:
The indicator plots the DCA points on the chart using a stepline style for clear visualization.
It calculates the average entry point and displays the potential profit and loss based on the specified leverage.
Labels are added for each DCA point, showing the entry price and the lots allocated.
Horizontal lines mark the Stop Loss and Take Profit levels, with corresponding labels showing potential loss and profit.
Benefits
Visual Planning: Easily visualize multiple entry points and understand how they affect your average entry price.
Risk Management: Clearly see your Stop Loss and Take Profit levels and their impact on your trade.
Customizable: Adapt the indicator to your specific strategy with a wide range of customizable parameters.
MetaFOX DCA (ASAP-RSI-BB%B-TV)Welcome To ' MetaFOX DCA (ASAP-RSI-BB%B-TV) ' Indicator.
This is not a Buy/Sell signals indicator, this is an indicator to help you create your own strategy using a variety of technical analyzing options within the indicator settings with the ability to do DCA (Dollar Cost Average) with up to 100 safety orders.
It is important when backtesting to get a real results, but this is impossible, especially when the time frame is large, because we don't know the real price action inside each candle, as we don't know whether the price reached the high or low first. but what I can say is that I present to you a backtest results in the worst possible case, meaning that if the same chart is repeated during the next period and you traded for the same period and with the same settings, the real results will be either identical to the results in the indicator or better (not worst). There will be no other factors except the slippage in the price when executing orders in the real trading, So I created a feature for that to increase the accuracy rate of the results. For more information, read this description.
Below I will explain all the properties and settings of the indicator:
A) 'Buy Strategies' Section: Your choices of strategies to Start a new trade: (All the conditions works as (And) not (OR), You have to choose one at least and you can choose more than one).
- 'ASAP (New Candle)': Start a trade as soon as possible at the opening of a new candle after exiting the previous trade.
- 'RSI': Using RSI as a technical analysis condition to start a trade.
- 'BB %B': Using BB %B as a technical analysis condition to start a trade.
- 'TV': Using tradingview crypto screener as a technical analysis condition to start a trade.
B) 'Exit Strategies' Section: Your choices of strategies to Exit the trades: (All the conditions works as (And) not (OR), You can choose more than one, But if you don't want to use any of them you have to activate the 'Use TP:' at least).
- 'ASAP (New Candle)': Exit a trade as soon as possible at the opening of a new candle after opening the previous trade.
- 'RSI': Using RSI as a technical analysis condition to exit a trade.
- 'BB %B': Using BB %B as a technical analysis condition to exit a trade.
- 'TV': Using tradingview crypto screener as a technical analysis condition to exit a trade.
C) 'Main Settings' Section:
- 'Trading Fees %': The Exchange trading fees in percentage (trading Commission).
- 'Entry Price Slippage %': Since real trading differs from backtest calculations, while in backtest results are calculated based on the open price of the candle, but in real trading there is a slippage from the open price of the candle resulting from the supply and demand in the real time trading, so this feature is to determine the slippage Which you think it is appropriate, then the entry prices of the trades will calculated higher than the open price of the start candle by the percentage of slippage that you set. If you don't want to calculate any slippage, just set it to zero, but I don't recommend that if you want the most realistic results.
Note: If (open price + slippage) is higher than the high of the candle then don't worry, I've kept this in consideration.
- 'Use SL': Activate to use stop loss percentage.
- 'SL %': Stop loss percentage.
- 'SL settings options box':
'SL From Base Price': Calculate the SL from the base order price (from the trade first entry price).
'SL From Avg. Price': Calculate the SL from the average price in case you use safety orders.
'SL From Last SO.': Calculate the SL from the last (lowest) safety order deviation.
ex: If you choose 'SL From Avg. Price' and SL% is 5, then the SL will be lower than the average price by 5% (in this case your SL will be dynamic until the price reaches all the safety orders unlike the other two SL options).
Note: This indicator programmed to be compatible with '3COMMAS' platform, but I added more options that came to my mind.
'3COMMAS' DCA bots uses 'SL From Base Price'.
- 'Use TP': Activate to use take profit percentage.
- 'TP %': Take profit percentage.
- 'Pure TP,SL': This feature was created due to the differences in the method of calculations between API tools trading platforms:
If the feature is not activated and (for example) the TP is 5%, this means that the price must move upward by only 5%, but you will not achieve a net profit of 5% due to the trading fees. but If the feature is activated, this means that you will get a net profit of 5%, and this means that the price must move upward by (5% for the TP + the equivalent of trading fees). The same idea is applied to the SL.
Note: '3COMMAS' DCA bots uses activated 'Pure TP,SL'.
- 'SO. Price Deviation %': Determines the decline percentage for the first safety order from the trade start entry price.
- 'SO. Step Scale': Determines the deviation multiplier for the safety orders.
Note: I'm using the same method of calculations for SO. (safety orders) levels that '3COMMAS' platform is using. If there is any difference between the '3COMMAS' calculations and the platform that you are using, please let me know.
'3COMMAS' DCA bots minimum 'SO. Price Deviation %' is (0.21)
'3COMMAS' DCA bots minimum 'SO. Step Scale' is (0.1)
- 'SO. Volume Scale': Determines the base order size multiplier for the safety orders sizes.
ex: If you used 10$ to buy at the trade start (base order size) and your 'SO. Volume Scale' is 2, then the 1st SO. size will be 20, the 2nd SO. size will be 40 and so on.
- 'SO. Count': Determines the number of safety orders that you want. If you want to trade without safety orders set it to zero.
'3COMMAS' DCA bots minimum 'SO. Volume Scale' is (0.1)
- 'Exchange Min. Size': The exchange minimum size per trade, It's important to prevent you from setting the base order Size less than the exchange limit. It's also important for the backtest results calculations.
ex: If you setup your strategy settings and it led to a loss to the point that you can't trade any more due to insufficient funds and your base order size share from the strategy becomes less than the exchange minimum trade size, then the indicator will show you a warning and will show you the point where you stopped the trading (It works in compatible with the initial capital). I recommend to set it a little bit higher than the real exchange minimum trade size especially if you trade without safety orders to not stuck in the trade if you hit the stop loss
- 'BO. Size': The base order size (funds you use at the trade entry).
- 'Initial Capital': The total funds allocated for trading using your strategy settings, It can be more than what is required in the strategy to cover the deficit in case of a loss, but it should not exceed the funds that you actually have for trading using this strategy settings, It's important to prevent you from setting up a strategy which requires funds more than what you have. It's also has other important benefits (refer to 'Exchange Min. Size' for more information).
- 'Accumulative Results': This feature is also called re-invest profits & risk reduction. If it's not activated then you will use the same funds size in each new trade whether you are in profit or loss till the (initial capitals + net results) turns insufficient. If it's activated then you will reuse your profits and losses in each new trade.
ex: The feature is active and your first trade ended with a net profit of 1000$, the next trade will add the 1000$ to the trade funds size and it will be distributed as a percentage to the BO. & SO.s according to your strategy settings. The same idea in case of a loss, the trade funds size will be reduced.
D) 'RSI Strategy' Section:
- 'Buy': RSI technical condition to start a trade. Has no effect if you don't choose 'RSI' option in 'Buy Strategies'.
- 'Exit': RSI technical condition to exit a trade. Has no effect if you don't choose 'RSI' option in 'Exit Strategies'.
E) 'TV Strategy' Section:
- 'Buy': TradingView Crypto Screener technical condition to start a trade. Has no effect if you don't choose 'TV' option in 'Buy Strategies'.
- 'Exit': TradingView Crypto Screener technical condition to exit a trade. Has no effect if you don't choose 'TV' option in 'Exit Strategies'.
F) 'BB %B Strategy' Section:
- 'Buy': BB %B technical condition to start a trade. Has no effect if you don't choose 'BB %B' option in 'Buy Strategies'.
- 'Exit': BB %B technical condition to exit a trade. Has no effect if you don't choose 'BB %B' option in 'Exit Strategies'.
G) 'Plot' Section:
- 'Signals': Plots buy and exit signals.
- 'BO': Plots the trade entry price (base order price).
- 'AVG': Plots the trade average price.
- 'AVG options box': Your choice to plot the trade average price type:
'Avg. With Fees': The trade average price including the trading fees, If you exit the trade at this price the trade net profit will be 0.00
'Avg. Without Fees': The trade average price but not including the trading fees, If you exit the trade at this price the trade net profit will be a loss equivalent to the trading fees.
- 'TP': Plots the trade take profit price.
- 'SL': Plots the trade stop loss price.
- 'Last SO': Plots the trade last safety order that the price reached.
- 'Exit Price': Plots a mark on the trade exit price, It plots in 3 colors as below:
Red (Default): Trade exit at a loss.
Green (Default): Trade exit at a profit.
Yellow (Default): Trade exit at a profit but this is a special case where we have to calculate the profits before reaching the safety orders (if any) on that candle (compatible with the idea of getting strategy results at the worst case).
- 'Result Table': Plots your strategy result table. The net profit percentage shown is a percentage of the 'initial capital'.
- 'TA Values': Plots your used strategies Technical analysis values. (Green cells means valid condition).
- 'Help Table': Plots a table to help you discover 100 safety orders with its deviations and the total funds needed for your strategy settings. Deviations shown in red is impossible to use because its price is <= 0.00
- 'Portfolio Chart': Plots your Portfolio status during the entire trading period in addition to the highest and lowest level reached. It's important when evaluating any strategy not only to look at the final result, but also to look at the change in results over the entire trading period. Perhaps the results were worryingly negative at some point before they rose again and made a profit. This feature helps you to see the whole picture.
- 'Welcome Message': Plots a welcome message and showing you the idea behind this indicator.
- 'Green Net Profit %': It plots the 'Net Profit %' in the result table in green color if the result is equal to or above the value that you entered.
- 'Green Win Rate %': It plots the 'Win Rate %' in the result table in green color if the result is equal to or above the value that you entered.
- 'User Notes Area': An empty text area, Feel free to use this area to write your notes so you don't forget them.
The indicator will take care of you. In some cases, warning messages will appear for you. Read them carefully, as they mean that you have done an illogical error in the indicator settings. Also, the indicator will sometimes stop working for the same reason mentioned above. If that happens then click on the red (!) next to the indicator name and read the message to find out what illogical error you have done.
Please enjoy the indicator and let me know your thoughts in the comments below.
[MAD] Entrytool / Bybit-LinearThis indicator, "Entry Tool," was coded at request for Sandmann .
It is designed to provide traders with real-time feedback for strategizing entries, exits, and liquidation levels for trades initiated at that given moment.
The tool visualizes average entry prices, stop-loss levels, multiple take-profit targets, and potential liquidation prices, offering a comprehensive overview of possible trade outcomes. It aids traders in pre-planning their trades by visually simulating the impact of different trading decisions directly on the live chart. Each setting and parameter can be customized to align with individual trading strategies and risk tolerances, making this tool versatile for various trading styles, including day trading, swing trading, and position trading.
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Steps to Use the Indicator:
1. Basic Setup:
Setup Type: Choose between "Long" or "Short" to set the direction of the trade.
Leverage: Adjust the leverage to understand its impact on your potential returns and liquidation price.
Tracking follows the close price, alternative you can enter a specific price.
2. Position Setup:
Initial Entry Amount: Set the starting amount for the trade.
Distance: First Increment Percentage from Entry price
Amount: Define the increase for the first incremental addition to the position and specify the amount to be added.
Distance: Second Increment Percentage from Entry
Amount: Set the increase for the second incremental addition and the corresponding amount.
3. Risk Management:
Stop-Loss (SL) Percentage: Set the percentage below or above the average entry price at which the position should be closed to minimize losses.
Take-Profit (TP) Percentages: Define up to four different profit target levels by specifying the percentage above or below the average entry price.
4. Visual Settings:
Box Colors: Customize the colors of the boxes that represent long and short positions to differentiate easily on the chart.
Box Extension: Determine the length by which the box extends beyond the current bar, which helps in visualizing the potential price movement.
Line Colors and Extensions: Select colors for various lines such as the Average Entry Line, Stop-Loss Line, Take-Profit Lines, and Liquidations Line. Adjust the length of these lines for better visibility.
Label Settings: Configure the distance of labels from their corresponding lines and set the font size for better readability.
5. Additional Features:
Liquidation Price Visualization: This new feature calculates and displays the liquidation price based on the current leverage and margin settings, giving traders a critical insight into their risk exposure.
Interactive Drag Point: Adjust the start price manually by dragging the point on the chart, which dynamically updates entry and exit levels as well as risk metrics.
Detailed Leverage Data Array: Input different scenarios with specific leverage, initial margin, and maintenance rates to see how these factors impact potential liquidation points.
6. Informations about leverage calculation
The data used are fetched from Bybit for Linear pairs to calculate the liquidations like in their documentation.
Keep in mind that other exchanges may calulate based on another formular.
