Rsiindicator — Indicators and Strategies

Multi-Asset & TF RSI Multi-Asset & TF RSI This indicator allows you to compare the Relative Strength Index (RSI) values of two different assets across multiple timeframes in a single pane. It’s ideal for traders who wish to monitor momentum across different markets or instruments simultaneously. Key Features: Primary Asset RSI: The indicator automatically calculates the RSI for the chart’s asset. You can adjust the timeframe for this asset using a dropdown that offers standard TradingView timeframes, a "Chart" option (which syncs with your current chart timeframe), or a "Custom" option where you can enter any timeframe. Optional Second Asset RSI: Enable the “Display Second Asset” option to compare another asset’s RSI. Simply select the symbol (default is “DXY”) and choose its timeframe from an identical dropdown. When enabled, the second asset’s RSI is computed and plotted for easy comparison. RSI Settings: Customize the RSI length and choose the data source (e.g., close price) to suit your trading strategy. Visual Aids: Overbought (70) and oversold (30) levels are clearly marked, along with a midline at 50. These visual cues help you quickly assess market conditions. Asset Information Table: A dynamic table at the top of the pane displays the symbols being analysed – the chart’s asset as the “1st” asset and, if enabled, the second asset as the “2nd.” How to Use: Apply the Indicator: Add the indicator to your chart. By default, it will calculate the RSI for the chart’s current asset using your chart’s timeframe. Adjust Primary Asset Settings: Use the “Main Asset Timeframe” dropdown to choose the timeframe for the RSI calculation on the chart asset. Select “Chart” to automatically match your current chart’s timeframe or choose a preset/custom timeframe. Enable and Configure the Second Asset: Toggle the “Display Second Asset” option to enable the second asset’s RSI. Select the asset symbol and its desired timeframe using the provided dropdown. The RSI for the second asset will be plotted if enabled. Monitor the RSI Values: Observe the plotted RSI lines along with the overbought/oversold levels. Use the table at the top-centre of the pane to verify which asset symbols are being displayed. This versatile tool is designed to support multi-asset analysis and can be a valuable addition to your technical analysis toolkit. Enjoy enhanced RSI comparison across markets and timeframes! Happy Trading!

RSI Classic calculation Classic RSI with Moving Average This script implements the Classic RSI (Relative Strength Index) method with the option to use either an Exponential Moving Average (EMA) or a Simple Moving Average (SMA) for smoothing the gains and losses. This custom implementation primarily aims to resolve a specific issue I encountered when cross-referencing RSI values with Python-based data, which is calculated differently than in Pine Script. However, the methodology here can benefit anyone who needs to align RSI calculations across different programming languages or platforms. The Problem: When working with Python for data analysis, the RSI values are calculated differently. The smoothing method, for example, can vary—RMA (Relative Moving Average) may be used instead of SMA or EMA, resulting in discrepancies when comparing RSI values across systems. To solve this problem, this script allows for the same type of smoothing to be applied (EMA or SMA) as used in Python, ensuring consistency in the data. Why This Implementation: The main goal of this approach was to align RSI calculations across Python and Pine Script so that I could cross-check the results accurately. By offering both EMA and SMA options, this script bridges the gap between Pine Script and Python, ensuring that the data is comparable and consistent. While this particular issue arose from my work with Python, this solution is valuable for anyone dealing with cross-platform RSI comparisons in different coding languages or systems. Benefits: Cross-Platform Consistency: This script ensures that RSI values calculated in Pine Script are directly comparable to those from Python (or any other platform), which is crucial for accurate analysis, especially in automated trading systems. Flexibility: The ability to choose between EMA and SMA provides flexibility in line with the specific needs of your strategy or data source. Ease of Use: The RSI is plotted with overbought and oversold levels clearly marked, making it easy to visualize and use in decision-making processes. Limitations: Calculation Differences: While this script bridges the gap between Pine Script and Python, if you're working with a different platform or coding language that uses variations like RMA, small discrepancies may still arise. Sensitivity Trade-Off: The choice between EMA and SMA impacts the sensitivity of the RSI. EMA responds quicker to recent price changes, which could lead to faster signals, while SMA provides a more stable but slower response. Conclusion: This Classic RSI script, with its customizable moving average type (EMA or SMA), not only solves the issue I faced with Python-based calculations but also provides a solution for anyone needing consistency across different programming languages and platforms. Whether you're working with Pine Script, Python, or other languages, this script ensures that your RSI values are aligned for more accurate cross-platform analysis. However, always be mindful of the small differences that can arise when different smoothing techniques (like RMA) are used in other systems.

Position reset The "Position Reset" indicator The Position Reset indicator is a sophisticated technical analysis tool designed to identify possible entry points into short positions based on an analysis of market volatility and the behavior of various groups of bidders. The main purpose of this indicator is to provide traders with information about the current state of the market and help them decide whether to open short positions depending on the level of volatility and the mood of the main players. The main components of the indicator: 1. Parameters for the RSI (Relative Strength Index): The indicator uses two sets of parameters to calculate the RSI: one for bankers ("Banker"), the other for hot money ("Hot Money"). RSI for Bankers: RSIBaseBanker: The baseline for calculating bankers' RSI. The default value is 50. RSIPeriodBanker: The period for calculating the RSI for bankers. The default period is 14. RSI for hot money: RSIBaseHotMoney: The baseline for calculating the RSI of hot money. The default value is 30. RSIPeriodHotMoney: The period for calculating the RSI for hot money. The default period is 21. These parameters allow you to adjust the sensitivity of the indicator to the actions of different groups of market participants. 2. Sensitivity: Sensitivity determines how strongly changes in the RSI will affect the final result of calculations. It is configured separately for bankers and hot money: SensitivityBanker: Sensitivity for bankers' RSI. It is set to 2.0 by default. SensitivityHotMoney: Sensitivity for hot money RSI. It is set to 1.0 by default. Changing these parameters allows you to adapt the indicator to different market conditions and trader preferences. 3. Volatility Analysis: Volatility is measured based on the length of the period, which is set by the volLength parameter. The default length is 30 candles. The indicator calculates the difference between the highest and lowest value for the specified period and divides this difference by the lowest value, thus obtaining the volatility coefficient. Based on this coefficient, four levels of volatility are distinguished.: Extreme volatility: The coefficient is greater than or equal to 0.25. High volatility: The coefficient ranges from 0.125 to 0.2499. Normal volatility: The coefficient ranges from 0.05 to 0.1249. Low volatility: The coefficient is less than 0.0499. Each level of volatility has its own significance for making decisions about entering a position. 4. Calculation functions: The indicator uses several functions to process the RSI and volatility data.: rsi_function: This function applies to every type of RSI (bankers and hot money). It adjusts the RSI value according to the set sensitivity and baseline, limiting the range of values from 0 to 20. Moving Averages: Simple moving averages (SMA), exponential moving averages (EMA), and weighted moving averages (RMA) are used to smooth fluctuations. They are applied to different time intervals to obtain the average values of the RSI. Thus, the indicator creates a comprehensive picture of market behavior, taking into account both short-term and long-term dynamics. 5. Bearish signals: Bearish signals are considered situations when the RSI crosses certain levels simultaneously with a drop in indicators for both types of market participants (bankers and hot money).: The bankers' RSI crossing is below the level of 8.5. The current hot money RSI is less than 18. The moving averages for banks and hot money are below their signal lines. The RSI values for bankers are less than 5. These conditions indicate a possible beginning of a downtrend. 6. Signal generation: Depending on the current level of volatility and the presence of bearish signals, the indicator generates three types of signals: Orange circle: Extremely high volatility and the presence of a bearish signal. Yellow circle: High volatility and the presence of a bearish signal. Green circle: Low volatility and the presence of a bearish signal. These visual markers help the trader to quickly understand what level of risk accompanies each specific signal. 7. Notifications: The indicator supports the function of sending notifications when one of the three types of signals occurs. The notification contains a brief description of the conditions under which the signal was generated, which allows the trader to respond promptly to a change in the market situation. Advantages of using the "Position Reset" indicator: Multi-level analysis: The indicator combines technical analysis (RSI) and volatility assessment, providing a comprehensive view of the current market situation. Flexibility of settings: The ability to adjust the sensitivity parameters and the RSI baselines allows you to adapt the indicator to any market conditions and personal preferences of the trader. Clear visualization: The use of colored labels on the chart simplifies the perception of information and helps to quickly identify key points for entering a trade. Notification support: The notification sending feature makes it much easier to monitor the market, allowing you to respond to important events in time.

Multi-indicator Signal Builder [Skyrexio]Overview Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof. It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label. Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions. This script aims to simplify strategy creation and analysis, making it a powerful toolkit for technical traders. Indicators Overview 1. RSI (Relative Strength Index) Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale. 2. Ultimate Oscillator (UO) Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences. 3. Bollinger %B Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold). 4. Moving Average (MA) Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers. 5. ADX (Average Directional Index) Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend. 6. Stochastic Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals. 7. MACD (Moving Average Convergence/Divergence) Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers. 8. PSAR (Parabolic SAR) Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR. 9. MFI (Money Flow Index) Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold. 10. CCI (Commodity Channel Index) Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe. 11. Heikin Ashi A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends. 12. TV Screener A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired. Unique Features 1. Multi-Indicator Entry and Exit You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers. 2. Single-Entry / Single-Exit with Intrabar SL/TP The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets. 3. Time Window Filter Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading. 4. Condition Table and Statistics A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc. 5. Seamless Alerts and Automation Configure alerts in TradingView using “Any alert() function call.” The script sends JSON alert messages you can route to your own webhook. The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges 6. Optional MA/PSAR Plots For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators. Methodology 1. Multi-Indicator Entry Logic When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers. 2. Single-Entry Intrabar SL/TP One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close. Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end. 3. Exit Logic All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close. 4. Time Filter Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval. Justification of Methodology Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals. Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios. Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots). Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods. How to Use 1. Add the Script to Your Chart In TradingView, open Indicators , search for “Multi-indicator Signal Builder”. Click to add it to your chart. 2. Configure Inputs Time Filter: Set a start and end date for trades. Alerts Messages: Input any JSON or text payload needed by your external service or bot. Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry. Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels. 3. Set Up Alerts In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script. Entry Alert: Triggers on the script’s entry signal. Close Alert: Triggers on the script’s close signal (or if SL/TP is hit). Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker). 4. Visual Reference A condition table at the bottom summarizes active signals. Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics. Backtesting Guidelines Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing. Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions. Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance. Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability. Example of statistic calculation Test Period: 2023-01-01 to 2025-12-31 Initial Capital: $1,000 Commission: 0.1%, Slippage ~5 ticks Trade Count: 468 (varies by strategy conditions) Win rate: 76% (varies by strategy conditions) Net Profit: +96.17% (varies by strategy conditions) Disclaimer This indicator is provided strictly for informational and educational purposes . It does not constitute financial or trading advice. Past performance never guarantees future results. Always test thoroughly in demo environments before using real capital. Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!

RSI Exponential Smoothing (Expo)█ Background information The Relative Strength Index (RSI) and the Exponential Moving Average (EMA) are two popular indicators. Traders use these indicators to understand market trends and predict future price changes. However, traders often wonder which indicator is better: RSI or EMA. What if these indicators give similar results? To find out, we wanted to study the relationship between RSI and EMA. We focused on a hypothesis: when the RSI goes above 50, it might be similar to the price crossing above a certain length of EMA. Similarly, when the RSI goes below 50, it might be similar to the price crossing below a certain length of EMA. Our goal was simple: to figure out if there is any connection between RSI and EMA. Conclusion: Yes, it seems that there is a correlation between RSI and EMA, and this indicator clearly displays that relationship. Read more about the study here: █ Overview of the indicator The RSI Exponential Smoothing indicator displays RSI levels with clear overbought and oversold zones, shown as easy-to-understand moving averages, and the RSI 50 line as an EMA. Another excellent feature is the added FIB levels. To activate, open the settings and click on "FIB Bands." These levels act as short-term support and resistance levels which can be used for scalping. █ Benefits of using this indicator instead of regular RSI The findings about the Relative Strength Index (RSI) and the Exponential Moving Average (EMA) highlight that both indicators are equally accurate (when it comes to crossings), meaning traders can choose either one without compromising accuracy. This empowers traders to pick the indicator that suits their personal preferences and trading style. █ How it works Crossings over/under the value of 50 The EMA line in the indicator acts as the corresponding 50 line in the RSI. When the RSI crosses the value 50 equals when Close crosses the EMA line. Bouncess from the value 50 In this example, we can see that the EMA line on the chart acts as support/resistance equals when RSI rejects the 50 level. Overbought and Oversold The indicator comes with overbought and oversold bands equal when RSI becomes overbought or oversold. █ How to use This visual representation helps traders to apply RSI strategies directly on the price chart, potentially making RSI trading easier for traders. ----------------- 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!