Rsiindicator — Chỉ báo và Chiến lược

MTF Oscillator Stack [BigBeluga]🔵 OVERVIEW The MTF Oscillator Stack brings powerful multi-timeframe momentum analysis directly into your price chart. You can select one oscillator— RSI , MFI , or Stochastic RSI —and display it across up to 4 different timeframes. Each panel is neatly stacked horizontally above price , offering quick insight into cross-timeframe conditions like trend direction, exhaustion zones, and momentum shifts. 🔵 CONCEPTS Single Oscillator Mode: Select one oscillator type (RSI, MFI, or Stoch RSI) to analyze across all selected timeframes. Top-Chart Horizontal Panels: Oscillator plots are aligned horizontally at the top of the chart for seamless top-down reading. Signal Comparison Arrows: Arrows (🢁 / 🢃) indicate oscillator position relative to its signal line. Overbought/Oversold Zones: Transparent 30–70 fill zones highlight key reversal areas. Dynamic Display Logic: Only enabled panels are shown; spacing adjusts based on active timeframes. Timeframe Tagging: Each oscillator panel is labeled with its corresponding timeframe (e.g., 1H, 2H, 4H). 🔵 FEATURES Choose one oscillator (RSI, MFI, or Stoch RSI) and apply it across up to 4 timeframes. Each oscillator panel includes: price-synced plot, signal line, and zone shading. Scale alignment allows users to place charts at the bottom or top. Clear arrow signals show whether oscillator is bullish or bearish. Individual length and signal settings per timeframe. Toggle for alignment mode: evenly spaced or floating layout. All panels use a consistent layout for faster decision-making. 🔵 HOW TO USE Select your preferred oscillator and activate 2–4 key timeframes (e.g., 1H, 4H, D1, W1). Use signal crossovers as a bullish (🢁) or bearish (🢃) trend cue. Look for aligned extremes (e.g., all timeframes overbought) to spot momentum exhaustion. Ideal for momentum confluence strategies and top-down confirmation. Use horizontal layout to stay focused on price while assessing broader structure. 🔵 CONCLUSION MTF Oscillator Stack simplifies complex multi-timeframe momentum analysis into one clean, actionable visual. Whether you're tracking RSI, MFI, or Stoch RSI, this tool helps you stay aligned with the broader trend—without ever leaving your main chart.

RSI Price Ladder FX:XAUUSD Overview RSI Price Ladder is an indicator that visualizes RSI levels mapped directly to price levels across multiple timeframes. It helps traders see where the RSI will reach certain threshold values (like 30, 50, 70) in terms of price, without calculating manually. It dynamically draws ladder lines (price levels) based on user-defined RSI targets, allowing clear visualization of RSI movements versus price action. Purpose for Traders Forecast Price Zones: Understand at which price levels RSI would hit oversold/overbought zones. Multi-Timeframe Analysis: Monitor RSI-price relationships across multiple timeframes simultaneously (e.g., M5, M15, H1, H4). Timing Entries and Exits: Plan precise entries or exits based on expected RSI behavior without switching between charts. Visual Clarity: Simplifies multi-timeframe RSI tracking by ladder-style price mapping directly on the current chart. Configuration RSI length: The period for RSI calculation (default 14). RSI Target Levels (1–7): Define up to 7 custom RSI levels (e.g., 20, 30, 40, 50, 60, 70, 80). Spacing Between Ladders: Horizontal spacing between different timeframe ladders on the chart. Pointer Colors: Customize colors for current RSI, EMA(9) of RSI, and WMA(45) of RSI. Show TF1–TF4: Toggle visibility of up to four different timeframe ladders. Interval TF1–TF4: Select timeframes to draw ladders (choices from 1m to 1W including 3D). Ladder Colors: Customize the ladder color for each timeframe separately. How to read data See explaination: How to use The primary goal of this indicator is to help traders easily and accurately see price levels corresponding to specific RSI values . Identifying Multi-Timeframe Support and Resistance According to RSI behavior: - In an uptrend, RSI tends to find support around 40, previous RSI bottoms, and the WMA45. - In a downtrend, RSI tends to face resistance around 60, previous RSI tops, and the WMA45. Using the RSI Price Ladder, you can accurately pinpoint the exact price levels corresponding to these RSI support and resistance zones. Defining Entry Zones, Stop Loss, and Take-Profit Areas Based on RSI For example: By observing RSI behavior, I noticed a downward trend forming. On both M15 and H1 timeframes, RSI resistance levels align with the price zone around 3043–3054. Thus, I can plan a sell trade in this entry zone: - Stop loss: If RSI breaks above the resistance level, which also corresponds to a price resistance. - Take-profits at two areas: RSI support on M5 at RSI 30, corresponding to price 3007. RSI support on M15 at RSI 30, corresponding to price 2988. You see, with the ladder, we can directly visualize the price levels corresponding to RSI points on the chart, making decision-making more intuitive. Result: The price successfully hit TP1 and TP2. Visualizing Buying and Selling Strength Across Timeframes The indicator helps track the correlation of buying and selling strength across different timeframes at the same time. For instance: when selling pressure increases, higher timeframe RSI will typically be higher than lower timeframe RSI. Visualizing this makes it easier to observe and connect price movements across multiple timeframes quickly and clearly. Visualizing When Combining with Other Methods In this example: - RSI shows support around 27. - Instantly, on the price chart, I notice that the RSI 27 level aligns with the EMA200, a major dynamic price support. Thus, a long setup can be considered: - Entry: Near this confluence zone. - Stop loss: Below the EMA200 or if RSI drops to 20. Summary RSI Price Ladder gives traders a powerful visual tool to link RSI behavior to real price levels across multiple timeframes, enhancing strategic entry/exit planning without needing to flip charts. - Save time spotting RSI targets. - Stay organized across multiple timeframes. - Customize the entire ladder experience from colors to intervals.

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!

ZenAlgo - Advanced RSI ZenAlgo - Advanced RSI is a technical indicator that combines the classic Relative Strength Index (RSI) with advanced tools, such as moving averages, histograms, divergence detection, and trend analysis. This integration provides traders with deeper insights into market dynamics, helping them identify critical entry and exit points. The indicator is designed to synergistically merge these features, delivering a comprehensive analytical tool that simplifies market analysis while providing actionable insights. Additionally, it includes a Multi TimeFrame table, allowing traders to monitor RSI values and trends across six different timeframes in one view. This enhancement provides a broader perspective on market dynamics and helps traders identify consistent or diverging trends across multiple timeframes, enabling more precise decision-making. Features RSI with Moving Averages: Offers five types of moving averages (SMA, EMA, WMA, SMMA, VWMA) to suit various trading styles and market conditions. Moving averages are overlaid on RSI, allowing traders to detect support/resistance levels and momentum shifts directly on the RSI panel. RSI Histogram: Displays the difference between RSI and its moving average. Positive histogram values indicate rising momentum, while negative values show declining momentum. Automatically detects and highlights divergences with color-coded bars (red for bearish, green for bullish). Bollinger Bands for RSI: Adds upper and lower bands to RSI, visualizing volatility and overbought/oversold conditions. Divergence Detection: Identifies and visualizes both regular and hidden divergences, marking key reversal or trend continuation points. Labels divergences with R (regular) or H (hidden) to provide clarity on their implications. Bollinger Bands for RSI: Adds upper and lower bands to RSI, visualizing volatility and overbought/oversold conditions. Diamond Signals: Marks crossovers of RSI and its moving average in overbought (RSI > 70) or oversold (RSI < 30) zones with diamond symbols, highlighting potential reversals. Multi TimeFrame Table: Displays RSI values for six different timeframes in a clear and intuitive table. Calculates the trend on each timeframe based on the average direction of the last three candles. Trends are categorized as "rising" (increasing), "falling" (decreasing), or "neutral" (stable). Provides easily interpretable insights across timeframes, allowing traders to focus on the current chart without switching timeframes manually. Added Value: Why Is This Indicator Original/Why Shall You Pay for This Indicator? ZenAlgo - Advanced RSI is a cohesive system where each component enhances the others. The originality and added value of the indicator come from: 1. Synergy Between Components: Unlike standalone indicators, which can provide isolated or incomplete insights, ZenAlgo - Advanced RSI combines RSI, moving averages, and divergence detection into a unified system. For instance: The RSI histogram integrates momentum and trend strength in a single visualization, eliminating the need for multiple separate tools. Divergences are calculated using both price action and histogram trends, providing more reliable signals compared to divergence detection using only RSI. 2. Customization for Traders: The ability to select from various moving averages (e.g., EMA for fast responses, SMA for smoother trends) allows users to tailor the indicator to different trading environments and strategies. 3. Actionable Visual Cues: Diamond signals, histogram bars, and divergence markings make complex market patterns easier to interpret, reducing the cognitive load for traders. 4. Enhanced Divergence Analysis: Built-in detection of regular and hidden divergences offers clarity and saves traders the effort of manually analyzing charts. 5. Bollinger Bands Integration: Adding Bollinger Bands to RSI provides insights into volatility and momentum that go beyond what traditional Bollinger Bands or RSI can deliver individually. 6. Multi TimeFrame Table: The Multi Time Frame table adds a new layer of analytical depth by consolidating RSI values and trends from multiple timeframes into a single tool. This helps traders identify consistent or diverging trends across timeframes, which is crucial for adjusting trading strategies to suit specific market conditions. 7. All-in-One Efficiency: Instead of juggling multiple indicators, traders gain a streamlined tool that consolidates trend, momentum, and volatility analysis into a single, easy-to-read panel. How It Works 1. RSI Calculation: RSI is calculated using the standard formula to determine the relative strength of upward and downward price movements over a specified period. 2. Moving Averages: Users choose from SMA, EMA, WMA, SMMA, or VWMA. The selected moving average is computed using RSI values, not price data, to better align with the indicator's momentum focus. 3. Histogram: The histogram shows the difference between RSI and its moving average. Positive values indicate RSI is above its moving average, signaling increasing momentum; negative values indicate the opposite. 4. Divergence Detection: Regular divergences are identified when price forms higher highs or lower lows, while RSI trends in the opposite direction. Hidden divergences are marked when price forms higher lows or lower highs, but RSI trends differently. Divergence is validated using both histogram and price trends for enhanced reliability. 5. Bollinger Bands for RSI: The upper and lower bands are based on the RSI and a configurable standard deviation, highlighting moments of high volatility and overbought/oversold conditions. 6. Trend Analysis: The indicator computes an average RSI value over last few candles to detect trend strength and direction, helping traders identify when trends are gaining or losing momentum. 7. Diamond Signals: Signals are triggered when RSI crosses its moving average within overbought or oversold zones. These events are plotted as diamonds for quick visualization. Please note that this indicator does not trigger any alerts or direct buy/sell signals. 8. Multi TimeFrame Table: RSI values are calculated for six separate time frames chosen by the user (e.g., 1-minute, 5-minute, 1-hour). The trend is determined by averaging the direction of the last three candles on each timeframe. Results are displayed as "rising," "falling," or "neutral" in the table. The table serves as a quick-reference tool for analyzing trends and RSI values across multiple market perspectives. Usage Examples Tracking Trends: Use the histogram to monitor momentum: positive values indicate strengthening trends, while negative values suggest weakening trends. Spotting Divergences: Look for regular divergences (R) to anticipate reversals and hidden divergences (H) to confirm trend continuation. Utilizing Diamond Signals: When diamonds appear in overbought or oversold zones, they signal potential market reversals, allowing traders to act quickly. Analyzing Volatility: Bollinger Bands on RSI highlight moments of high volatility, providing additional confirmation for potential trend changes. Quick Assessment of RSI values: Use the Multi TimeFrame table to quickly assess RSI values and trends on different timeframes. Consistent trends (e.g., "rising" RSI on most timeframes) suggest market alignment, while diverging trends may indicate potential reversals or conflicting market signals. Use this insight to refine entries and exits. Settings RSI Length: Number of candles used for RSI calculation. RSI Source: Data source for RSI calculation. MA Type: Type of moving average (SMA, EMA, RMA, WMA, VWMA). MA Length: Number of RSI values used for moving average calculation. BB StdDev: Standard deviation length for Bollinger Bands calculation. Disable / enable display of: Bullish, Bearish, Hidden Bullish and Hidden Bearish divergences. Show table RSI & MA: display or hide Multi TimeFrame RSI table. Table position / size: set MultiTimeFrame table position to suit your needs and keep it from obstructing other indicator views Important Notes This indicator is a technical analysis tool and does not guarantee trading success. Use it in conjunction with other indicators and fundamental analysis for a more comprehensive trading strategy. In strong trends, divergences may become less reliable as price action overrides momentum indicators.

RSI BB StdDev Signal Overview The RSI BB StdDev Signal Indicator is a powerful tool designed to enhance your trading strategy by combining the Relative Strength Index (RSI) with Bollinger Bands (BB). This unique combination allows traders to identify potential buy and sell signals more accurately by leveraging the strengths of both indicators. The RSI helps in identifying overbought and oversold conditions, while the Bollinger Bands provide a dynamic range to assess volatility and potential price reversals. Key Features — RSI Calculation: The indicator calculates the RSI based on user-defined parameters, allowing for customization to fit different trading styles. — Bollinger Bands Integration: The RSI values are smoothed using a moving average, and Bollinger Bands are applied to this smoothed RSI to generate buy and sell signals. — Divergence Detection: The indicator includes an optional feature to detect and alert on bullish and bearish divergences between the RSI and price action. — Customizable Alerts: Users can set up alerts for buy and sell signals, as well as for divergences, ensuring they never miss a trading opportunity. — Visual Aids: The indicator plots the RSI, Bollinger Bands, and signals on the chart, making it easy to visualize and interpret the data. How It Works 1. RSI Calculation: — The RSI is calculated using the change in the source input (default is close price) over a specified period. — The RSI values are then plotted on the chart with customizable overbought and oversold levels. 2. Smoothing and Bollinger Bands: — The RSI values are smoothed using a moving average (SMA, EMA, SMMA, WMA, VWMA) selected by the user. — Bollinger Bands are applied to the smoothed RSI to create dynamic upper and lower bands. 3. Signal Generation: —Buy signals are generated when the RSI crosses above the lower Bollinger Band. —Sell signals are generated when the RSI crosses below the upper Bollinger Band. —These signals are plotted on both the RSI pane and the main price chart for easy reference. 4. Divergence Detection: — The indicator can detect and alert on regular bullish and bearish divergences between the RSI and price action. — Bullish divergences occur when the price makes a lower low, but the RSI makes a higher low. — Bearish divergences occur when the price makes a higher high, but the RSI makes a lower high. Usage 1. Setting Up: — Add the indicator to your TradingView chart. — Customize the RSI length, source, and other parameters in the settings panel. — Enable or disable the divergence detection based on your trading strategy. 2. Interpreting Signals: — Use the buy and sell signals generated by the RSI crossing the Bollinger Bands as potential entry and exit points. — Pay attention to divergences for additional confirmation of trend reversals. 3. Alerts: — Set up alerts for buy and sell signals to receive notifications in real-time. — Enable divergence alerts to be notified of potential trend reversals. Conclusion The RSI BB StdDev Signal Indicator is a comprehensive tool that combines the strengths of the RSI and Bollinger Bands to provide traders with more accurate and reliable signals. Whether you are a beginner or an experienced trader, this indicator can enhance your trading strategy by offering clear visual cues and customizable alerts. Note This indicator is provided with open-source code, allowing users to understand its logic and customize it further if needed. The detailed description and customizable settings ensure that traders of all levels can benefit from its unique features.

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!

RSI Swing v2 [Premium]The RSI signal is displayed with different color zones to reflect the value on the chart. This makes field evaluation more efficient. RSI values of different time frames are displayed in the table, helping to evaluate the market more objectively. A Retest Buy signal is given when the RSI value decreases from the area of more than 80 to 50. Retest Sell signal is given when the RSI value increases from less than 20 to 50. Retest Validation results are highlighted in bold for easy detection. Settings: * Length, source RSI * Text size * Type + Length MA * RSI ADVANCE SETTINGS: - Value RSI Range retest for Long trend - Value RSI Range retest for Sell trend This Indicator alert was created for the RSI Retest. Recommendation: Should be used in combination with other Indicators to observe the market more effectively