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Relative Strength Index (RSI)

🐬RSI_CandleRSI_Candle Calculates the RSI based on the open, high, low, and close prices, and displays it in the form of candles. The overbought and oversold zones are highlighted with background colors, which become darker as the RSI value approaches 100 or 0. ----- RSI_Candle RSI를 시가, 고가, 저가, 종가로 계산하여 캔들로 보여줍니다. 과매수/과매도 구간에서 배경색으로 보여주며, 100/0에 가까울수록 배경색이 짙어집니다. -----
Pine Script® indicator
by BossOfDolphinGang_
Volatility Adjusted Relative Strength (VARS) - Histogram OptionI’ve developed a new version of VARS that includes an option to toggle it into a histogram view. I recommend using a single neutral color rather than the conventional “red below 0, green above 0” scheme — because true RS analysis shouldn’t rely on color cues. The focus should be on the immediacy and persistence of RS itself to capture that initial breakout move as the most optimal RRR entry. This also provides clearer insight and visualization into how RS functions (both traditional and VARS) since RS is a static EOD metric derived from a defined timeframe. I want to emphasize again that VARS is useful to identify low-risk entries, with relative strength calibrated to the volatility of the reference index (in this case, AMEX:SPY ). It is not used to determine my exits — those should be governed by a strict, non-discretionary framework for partial profit-taking and final exit of a position.
Pine Script® indicator
by jfsrev
8
RSI Bars - OnlyFlowThis indicator applies the RSI (Relative Strength Index) to candle coloring so that bar colors reflect momentum conditions instead of a fixed scheme. RSI Logic: Bars shift color when RSI values move into overbought or oversold regions, with intensity scaled by how far RSI extends beyond the thresholds. Gradient / Step Mode: Choose between a smooth gradient or a 3-step palette to visualize strength. Directional Neutral Colors: Neutral zones can follow candle direction for clearer trend context. Customization: Overbought/oversold levels and color palettes are user-configurable. Optional RSI Panel: An RSI plot with overbought/oversold lines can be enabled in a separate pane if desired. This tool is meant to give traders a more intuitive view of RSI conditions directly on price bars, helping to quickly see momentum extremes without needing to glance away from the chart.
Pine Script® indicator
by ofderk
1
Relative Strength index 2xRelative Strength Index 2× The RSI*2 by AZly is an advanced dual-RSI indicator that allows traders to analyze momentum from two distinct perspectives — short-term and medium-term — on a single chart. It combines RSI precision with multi-timeframe flexibility, giving a clear view of both immediate and underlying momentum trends. ⚙️ How It Works This indicator calculates and plots two fully independent RSI lines, each with customizable settings: RSI 1 (Main RSI) : Captures medium-term momentum, ideal for trend and context. RSI 2 (Fast RSI) : Reacts quickly to short-term moves, identifying overbought and oversold conditions. Both RSIs include: Custom timeframe, source, and smoothing method (SMA, EMA, WMA, VWMA, HMA, SMMA). Gradient zones to visualize momentum strength and reversals. Adjustable levels and colors for clear chart presentation. 📘 Andrew Cardwell Zones (RSI 1) RSI 1 uses Andrew Cardwell’s “range rules” to distinguish bullish and bearish momentum phases: Bullish Range: RSI holds between 40–80, finding support around 40–45. Bearish Range: RSI stays between 20–60, with rallies capped near 55–60. A breakout from one range into another often signals a trend phase transition — marking potential trend beginnings or endings. ⚡ Overbought/Oversold Zones (RSI 2) RSI 2 is designed for fast reactions and reversal detection: 95–100: Extreme overbought zone — potential exhaustion and short setup. 5–0: Extreme oversold zone — potential exhaustion and long setup. Crossing these levels highlights short-term momentum exhaustion , often preceding pullbacks or strong price reversals. 💡 Why It’s Better Compared to traditional RSI indicators, this version provides superior control and insight: Dual independent RSIs with separate timeframes and smoothing. Cardwell-style range recognition for better context of trend strength. Extreme bands for fast RSI 2 to time entries with precision. Dynamic gradient zones for intuitive visual interpretation. Multi-timeframe flexibility that adapts to any trading style. 🎯 Trading Concepts Trend Confirmation: RSI 1 above 50 (bullish range) confirms uptrend bias; below 50 (bearish range) confirms downtrend. Reversal Setup: RSI 2 hitting extreme zones (above 95 or below 5) while RSI 1 stays steady often signals exhaustion and reversal setups. Divergence Confirmation: When RSI 2 diverges from price and RSI 1 supports the direction, it strengthens reversal probability. Range Transition: A shift in RSI 1’s range (from bearish to bullish or vice versa) confirms a major change in market structure. 🕒 Trade Timing (Entry Ideas) Timing is one of the indicator’s strongest features. Wait for RSI 2 to reach an extreme zone (above 95 or below 5). Then confirm the direction with RSI 1 — trades are most effective when RSI 1’s range aligns with the anticipated move. Buy Setup: RSI 1 in bullish range + RSI 2 rebounds upward from the 5 zone. Sell Setup: RSI 1 in bearish range + RSI 2 turns down from the 95 zone. Best Timing: Enter when RSI 2 crosses back inside the 10–90 range in the same direction as RSI 1’s trend. This captures momentum just as it resumes — avoiding early or late entries. 🔷 M & W Patterns (RSI 2) RSI 2 also reveals short-term exhaustion structures: “ M ” Formation: Two RSI peaks near 95–100 — bearish reversal setup. “ W ” Formation: Two RSI troughs near 0–5 — bullish reversal setup. These shapes often appear before price reversals, offering early momentum clues. ⚠️ Important Trading Guidance It is strongly recommended not to trade against the prevailing trend or attempt to pick exact tops or bottoms. The indicator works best when used in alignment with trend direction. Counter-trend entries carry higher risk and lower probability. 📊 Recommended Use Ideal for momentum traders, scalpers, and multi-timeframe analysts seeking precise timing and context. Works on all markets — forex, crypto, stocks, indexes, and commodities.
Pine Script® indicator
by YunakAZly
RSI + Stochastic для M1 скальпингаRSI + Stochastic for M1 Scalping This indicator combines Relative Strength Index (RSI) and Stochastic Oscillator into a single tool designed specifically for short-term scalping on the 1-minute chart. While both oscillators are widely used, they often produce many signals on their own. This script focuses on signal confirmation through synchronization, which reduces false entries and helps scalpers react faster in fast-moving markets. How it works RSI (7-period by default) tracks short-term momentum and highlights overbought (>70) or oversold (<30) conditions. Stochastic Oscillator (%K = 5, %D = 3, smoothing = 3) adds sensitivity to micro-swings, providing context for intraday momentum. The indicator generates a visual background highlight only when both oscillators confirm the same condition: Green zone → RSI and Stochastic are both oversold, suggesting potential exhaustion of downward pressure. Red zone → RSI and Stochastic are both overbought, indicating potential exhaustion of upward pressure. Why this mashup is different Rather than simply plotting RSI and Stochastic together, this tool emphasizes confluence-based filtering: Signals appear only at extreme conditions across both oscillators, which helps reduce market noise common on M1 charts. Background coloring makes it easier to spot high-probability setups visually, without needing to interpret multiple plots separately. The parameter defaults are optimized for scalping strategies, but users can adjust them to fit their style. How to use Best suited for M1 and M5 timeframes where overbought/oversold conditions appear frequently. Can be used to time entries and exits around support/resistance or trend continuation zones. Works well as a confirmation filter alongside price action or volume-based indicators. ⚠️ Disclaimer: This indicator does not guarantee profitable trades. Always test on demo accounts and combine with risk management before applying to live markets.
Pine Script® indicator
by flaxkz
Eyas's EyeTry it and see!! # 🦅 EYAS'S EYE - Multi-Confluence Trend Strategy A systematic trading strategy combining multiple technical indicators with advanced risk management for high-probability trades in trending markets. ## 📊 OVERVIEW **Trading Style:** Swing/Position Trading **Direction:** Long & Short **Best Timeframes:** 4H, Daily **Markets:** Crypto, Forex, Indices ## 🎯 METHODOLOGY **Multi-Indicator Confluence System:** - Trend analysis for market direction - Momentum indicators for timing - Volatility-based entry zones - Dynamic ATR-based risk management **Entry Requirements:** - Multiple confirming signals required - Strong trend filtering - Minimum bars between trades - Balanced long/short exposure **Exit Strategy:** - Volatility-adjusted stop losses - High risk-reward targets (6:1) - Trailing stops to capture trends - Signal-based exits - Minimum hold time to let winners run ## ✨ KEY FEATURES ✅ Realistic execution model (no look-ahead bias) ✅ Dynamic risk management ✅ Customizable parameters ✅ Clear visual signals ✅ Real-time performance metrics ## 📈 PERFORMANCE Backtested on ETH/USD (12 months): - Win Rate: 88-93% - 500+ closed trades - Strong profit factor - Consistent monthly returns **Best in:** Trending markets with medium-high volatility **Challenges:** Choppy sideways markets ## 🔒 ACCESS **This is a PROTECTED script** To request access, send me a private message or comment below. ## ⚠️ DISCLAIMER Trading involves substantial risk. Past performance does not guarantee future results. This is not financial advice. Always test with paper trading first and never risk more than you can afford to lose. --- **Strategy Philosophy:** Quality over quantity. The name "Eyas's Eye" represents the sharp vision of a young eagle - patience in waiting for the right moment and the ability to spot opportunities others miss. 🦅 **Trade with vision. Trade with Eyas's Eye.**
Pine Script® strategy
by eyasaboud
1
Katana_Fox RSI Pro - Advanced Momentum Indicator with Clear BUOverview: Connors RSI Pro is a sophisticated enhancement of the classic Connors RSI indicator, designed for traders who demand professional-grade tools. This premium version combines multiple momentum components with intelligent signaling and beautiful visualization to give you an edge in the markets. Key Features: 🎯 Clear BUY/SELL Signal System BUY signals in green when CRSI crosses above oversold level SELL signals in red when CRSI crosses below overbought level Clean, professional labels that are easy to read Customizable overbought/oversold levels (70/30 default) 🎨 Professional Visualization Modern color scheme that adapts to market conditions Customizable background fills for better readability Smooth, easy-to-read line plotting ⚡ Enhanced Calculations Triple-component momentum analysis (RSI, UpDown RSI, Percent Rank) EMA smoothing for reduced noise and false signals Configurable lengths for each component 🔔 Advanced Alert System 4 distinct alert conditions for various market scenarios Compatible with TradingView's native alert system Perfect for automated trading strategies Input Parameters: RSI Length (3): Period for standard RSI calculation UpDown Length (2): Period for UpDown RSI component ROC Length (100): Period for Rate of Change percentile ranking Signal Alerts: Toggle BUY/SELL signals on/off Custom Colors: Choose between classic and modern color schemes Trading Signals: BUY (Green Label): Bullish signal when CRSI crosses above oversold level SELL (Red Label): Bearish signal when CRSI crosses below overbought level Background Colors: Visual zones indicating momentum strength Ideal For: Swing traders seeking momentum reversals Day traders looking for overbought/oversold conditions Algorithmic traders needing reliable signals Technical analysts wanting multi-timeframe confirmation How to Use: Oversold Bounce: Enter long when CRSI shows BUY signal above 30 Overbought Rejection: Enter short when CRSI shows SELL signal below 70 Trend Confirmation: Use the 50-level crossover for trend direction Divergence Trading: Look for price/indicator divergences at extremes Upgrade your trading arsenal with Connors RSI Pro - where professional analytics meet clear trading signals!
Pine Script® indicator
by Katana_Fox
Diabolos Long What the strategy tries to do It looks for RSI dips into oversold, then waits for RSI to recover above a chosen level before placing a limit buy slightly below the current price. If the limit doesn’t fill within a few bars, it cancels it. Once in a trade, it sets a fixed take-profit and stop-loss. It can pyramid up to 3 entries. Step-by-step 1) Inputs you control RSI Length (rsiLen), Oversold level (rsiOS), and a re-entry threshold (rsiEntryLevel) you want RSI to reach after oversold. Entry offset % (entryOffset): how far below the current close to place your limit buy. Cancel after N bars (cancelAfterBars): if still not filled after this many bars, the limit order is canceled. Risk & compounding knobs: initialRisk (% of equity for first order), compoundRate (% to artificially grow the equity base after each signal), plus fixed TP% and SL%. 2) RSI logic (arming the setup) It calculates rsi = ta.rsi(close, rsiLen). If RSI falls below rsiOS, it sets a flag inOversold := true (this “arms” the next potential long). A long signal (longCondition) happens only when: inOversold is true (we were oversold), RSI comes back above rsiOS, and RSI is at least rsiEntryLevel. So: dip into OS → recover above OS and to your threshold → signal fires. 3) Placing the entry order When longCondition is true: It computes a limit price: close * (1 - entryOffset/100) (i.e., below the current bar’s close). It sizes the order as positionRisk / close, where: positionRisk starts as accountEquity * (initialRisk/100). accountEquity was set once at script start to strategy.equity. It places a limit long: strategy.order("Long Entry", strategy.long, qty=..., limit=limitPrice). It then resets inOversold := false (disarms until RSI goes oversold again). It remembers the bar index (orderBarIndex := bar_index) so it can cancel later if unfilled. Important nuance about “compounding” here After signaling, it does: compoundedEquity := compoundedEquity * (1 + compoundRate/100) positionRisk := compoundedEquity * (initialRisk/100) This means your future order sizes grow by a fixed compound rate every time a signal occurs, regardless of whether previous trades won or lost. It’s not tied to actual PnL; it’s an artificial growth curve. Also, accountEquity was captured only once at start, so it doesn’t automatically track live equity changes. 4) Auto-cancel the limit if it doesn’t fill On each bar, if bar_index - orderBarIndex >= cancelAfterBars, it does strategy.cancel("Long Entry") and clears orderBarIndex. If the order already filled, cancel does nothing (there’s nothing pending with that id). Behavioral consequence: Because you set inOversold := false at signal time (not on fill), if a limit order never fills and later gets canceled, the strategy will not fire a new entry until RSI goes below oversold again to re-arm. 5) Managing the open position If strategy.position_size > 0, it reads the avg entry price, then sets: takeProfitPrice = avgEntryPrice * (1 + exitGainPercentage/100) stopLossPrice = avgEntryPrice * (1 - stopLossPercentage/100) It places a combined exit: strategy.exit("TP / SL", from_entry="Long Entry", limit=takeProfitPrice, stop=stopLossPrice) With pyramiding=3, multiple fills can stack into one net long position. Using the same from_entry id ties the TP/SL to that logical entry group (not per-layer). That’s OK in TradingView (it will manage TP/SL for the position), but you don’t get per-layer TP/SL. 6) Visuals & alerts It plots a green triangle under the bar when the long signal condition occurs. It exposes an alert you can hook to: “Покупка при достижении уровня”. A quick example timeline RSI drops below rsiOS → inOversold = true (armed). RSI rises back above rsiOS and reaches rsiEntryLevel → signal. Strategy places a limit buy a bit below current price. 4a) If price dips to fill within cancelAfterBars, you’re long. TP/SL are set as fixed % from avg entry. 4b) If price doesn’t dip enough, after N bars the limit is canceled. The system won’t re-try until RSI becomes oversold again. Key quirks to be aware of Risk sizing isn’t PnL-aware. accountEquity is frozen at start, and compoundedEquity grows on every signal, not on wins. So size doesn’t reflect real equity changes unless you rewrite it to use strategy.equity each time and (optionally) size by stop distance. Disarm on signal, not on fill. If a limit order goes stale and is canceled, the system won’t try again unless RSI re-enters oversold. That’s intentional but can reduce fills. Single TP/SL id for pyramiding. Works, but you can’t manage each add-on with different exits.
Pine Script® strategy
by traderhub
RSI: chart overlay This indicator maps RSI thresholds directly onto price. Since the EMA of price aligns with RSI’s 50-line, it draws a volatility-based band around the EMA to reveal levels such as 70 and 30. By converting RSI values into visible price bands, the overlay lets you see exactly where price would have to move to hit traditional RSI boundaries. These bands adapt in real time to both price movement and market volatility, keeping the classic RSI logic intact while presenting it in the context of price action. This approach helps traders interpret RSI signals without leaving the main chart window. The calculation uses the same components as the RSI: alternative derivation script: Wilder’s EMA for smoothing, a volatility-based unit for scaling, and a normalization factor. The result is a dynamic band structure on the chart, representing RSI boundary levels in actual price terms. Key components and calculation breakdown: Wilder’s EMA Used as the anchor point for measuring price position. myEMA = ta.rma(close, Length) Volatility Unit Derived from the EMA of absolute close-to-close price changes. CC_vol = ta.rma(math.abs(close - close ), Length) Normalization Factor Scales the volatility unit to align with the RSI formula’s structure. normalization_factor = 1 / (Length - 1) Upper and Lower Boundaries Defines price bands corresponding to selected RSI threshold values. up_b = myEMA + ((upper - 50) / 50) * (CC_vol / normalization_factor) down_b = myEMA - ((50 - lower) / 50) * (CC_vol / normalization_factor) Inputs RSI length Upper boundary – RSI level above 50 Lower boundary – RSI level below 50 ON/OFF toggle for 50-point line (EMA of close prices) ON/OFF toggle for overbought/oversold coloring (use with line chart) Interpretation: Each band on the chart represents a chosen RSI level. When price touches a band, RSI is at that threshold. The distance between moving average and bands adjusts automatically with volatility and your selected RSI length. All calculations remain fully consistent with standard RSI values. Feedback and code suggestions are welcome, especially regarding implementation efficiency and customization.
Pine Script® indicator
by AdaptiveRSI
10
Rsi TrendLines with Breakouts [KoTa]### RSI TrendLines with Breakouts Indicator: Detailed User Guide The "RSI TrendLines with Breakouts " indicator is a custom Pine Script tool designed for TradingView. It builds on the standard Relative Strength Index (RSI) by adding dynamic trendlines based on RSI pivots (highs and lows) across multiple user-defined periods. These trendlines act as support and resistance levels on the RSI chart, and the indicator detects breakouts when the RSI crosses these lines, generating potential buy (long) or sell (short) signals. It also includes overbought/oversold thresholds and optional breakout labels. Below, I'll provide a detailed explanation in English, covering how to use it, its purpose, advantages and disadvantages, example strategies, and ways to enhance strategies with other indicators. How to Use the Indicator - The indicator uses `max_lines_count=500` to handle a large number of lines without performance issues, but on very long charts, you may need to zoom in for clarity. 1. **Customizing Settings**: The indicator has several input groups for flexibility. Access them via the gear icon next to the indicator's name on the chart. - **RSI Settings**: - RSI Length: Default 14. This is the period for calculating the RSI. Shorter lengths (e.g., 7-10) make it more sensitive to recent price changes; longer (e.g., 20+) smooth it out for trends. - RSI Source: Default is close price. You can change to open, high, low, or other sources like volume-weighted for different assets. - Overbought Level: Default 70. RSI above this suggests potential overbuying. - Oversold Level: Default 30. RSI below this suggests potential overselling. - **Trend Periods**: - You can enable/disable up to 5 periods (defaults: Period 1=3, Period 2=5, Period 3=10, Period 4=20, Period 5=50). Only enabled periods will draw trendlines. - Each period detects pivots (highs/lows) in RSI using `ta.pivothigh` and `ta.pivotlow`. Shorter periods (e.g., 3-10) capture short-term trends; longer ones (20-50) show medium-to-long-term momentum. - Inline checkboxes allow you to toggle display for each (e.g., display_p3=true by default). - **Color Settings**: - Resistance/Support Color: Defaults to red for resistance (up-trendlines from RSI highs) and green for support (down-trendlines from RSI lows). - Labels for breakouts use green for "B" (buy/long) and red for "S" (sell/short). - **Breakout Settings**: - Show Prev. Breakouts: If true, displays previous breakout labels (up to "Max Prev. Breakouts Label" +1, default 2+1=3). - Show Breakouts: Separate toggles for each period (e.g., show_breakouts3). When enabled, dotted extension lines project the trendline forward, and crossovers/crossunders trigger labels like "B3" (breakout above resistance for Period 3) or "S3" (break below support). - Note: Divergence detection is commented out in the code. If you want to enable it, uncomment the relevant sections (e.g., show_divergence input) and adjust the lookback (default 5 bars) for spotting bullish/bearish divergences between price and RSI. 2. **Interpreting the Visuals**: - **RSI Plot**: A blue line showing the RSI value (0-100). Horizontal dashed lines at 70 (red, overbought), 30 (green, oversold), and 50 (gray, midline). - **Trendlines**: Solid lines connecting recent RSI pivots. Green lines (support) connect lows; red lines (resistance) connect highs. Only the most recent line per direction is shown per period to avoid clutter. - **Breakout Projections**: Dotted lines extend the current trendline forward. When RSI crosses above a red dotted resistance, a "B" label (e.g., "B1") appears above, indicating a potential bullish breakout. Crossing below a green dotted support shows an "S" label below, indicating bearish. - **Labels**: Current breakouts are bright (green/red); previous ones fade to gray. Use these as signal alerts. - **Alerts**: The code includes commented-out alert conditions (e.g., for breakouts or RSI crossing levels). Uncomment and set them up in TradingView's alert menu for notifications. 3. **Best Practices**: - Use on RSI-compatible timeframes (e.g., 1H, 4H, daily) for stocks, forex, or crypto. - Combine with price chart: Trendlines are on RSI, so check if RSI breakouts align with price action (e.g., breaking a price resistance). - Test on historical data: Backtest signals using TradingView's replay feature. - Avoid over-customization initially—start with defaults (Periods 3 and 5 enabled) to understand behavior. What It Is Used For This indicator is primarily used for **momentum-based trend analysis and breakout trading on the RSI oscillator**. Traditional RSI identifies overbought/oversold conditions, but this enhances it by drawing dynamic trendlines on RSI itself, treating RSI as a "price-like" chart for trend detection. - **Key Purposes**: - **Identifying Momentum Trends**: RSI trendlines show if momentum is strengthening (upward-sloping support) or weakening (downward-sloping resistance), even if price is ranging. - **Spotting Breakouts**: Detects when RSI breaks its own support/resistance, signaling potential price reversals or continuations. For example, an RSI breakout above resistance in an oversold zone might indicate a bullish price reversal. - **Multi-Period Analysis**: By using multiple pivot periods, it acts like a multi-timeframe tool within RSI, helping confirm short-term signals with longer-term trends. - **Signal Generation**: Breakout labels provide entry/exit points, especially in trending markets. It's useful for swing trading, scalping, or confirming trends in larger strategies. - **Divergence (Optional)**: If enabled, it highlights mismatches between price highs/lows and RSI, which can predict reversals (e.g., bullish divergence: price lower low, RSI higher low). Overall, it's ideal for traders who rely on oscillators but want more visual structure, like trendline traders applying price concepts to RSI. Advantages and Disadvantages **Advantages**: - **Visual Clarity**: Trendlines make RSI easier to interpret than raw numbers, helping spot support/resistance in momentum without manual drawing. - **Multi-Period Flexibility**: Multiple periods allow analyzing short- and long-term momentum simultaneously, reducing noise from single-period RSI. - **Breakout Signals**: Automated detection of breakouts provides timely alerts, with labels and projections for proactive trading. This can improve entry timing in volatile markets. - **Customization**: Extensive inputs (periods, colors, breakouts) make it adaptable to different assets/timeframes. The stateful management of lines/labels prevents chart clutter. - **Complementary to Price Action**: Enhances standard RSI by adding trend context, useful for confirming divergences or overbought/oversold trades. - **Efficiency**: Uses efficient arrays and line management, supporting up to 500 lines for long charts without lagging TradingView. **Disadvantages**: - **Lagging Nature**: Based on historical pivots, signals may lag in fast-moving markets, leading to late entries. Shorter periods help but increase whipsaws. - **False Signals**: In ranging or sideways markets, RSI trendlines can produce frequent false breakouts. It performs better in trending conditions but may underperform without filters. - **Over-Reliance on RSI**: Ignores volume, fundamentals, or price structure—breakouts might not translate to price moves if momentum decouples from price. - **Complexity for Beginners**: Multiple periods and settings can overwhelm new users; misconfiguration (e.g., too many periods) leads to noisy charts. - **No Built-in Risk Management**: Signals lack stop-loss/take-profit logic; users must add these manually. - **Divergence Limitations**: The basic (commented) divergence detection is simplistic and may miss hidden divergences or require tuning. In summary, it's powerful for momentum traders but should be used with confirmation tools to mitigate false positives. Example Strategies Here are one LONG (buy) and one SHORT (sell) strategy example using the indicator. These are basic; always backtest and use risk management (e.g., 1-2% risk per trade, stop-loss at recent lows/highs). **LONG Strategy Example: Oversold RSI Support Breakout** - **Setup**: Use on a daily chart for stocks or crypto. Enable Periods 3 and 5 (short- and medium-term). Set oversold level to 30. - **Entry**: Wait for RSI to be in oversold (<30). Look for a "B" breakout label (e.g., "B3" or "B5") when RSI crosses above a red resistance trendline projection. Confirm with price forming a higher low or candlestick reversal (e.g., hammer). - **Stop-Loss**: Place below the recent price low or the RSI support level equivalent in price terms (e.g., 5-10% below entry). - **Take-Profit**: Target RSI reaching overbought (70) or a 2:1 risk-reward ratio. Exit on a bearish RSI crossunder midline (50). - **Example Scenario**: In a downtrending stock, RSI hits 25 and forms a support trendline. On a "B5" breakout, enter long. This captures momentum reversals after overselling. - **Rationale**: Breakout above RSI resistance in oversold signals fading selling pressure, potential for price uptrend. **SHORT Strategy Example: Overbought RSI Resistance Breakout** - **Setup**: Use on a 4H chart for forex pairs. Enable Periods 10 and 20. Set overbought level to 70. - **Entry**: Wait for RSI in overbought (>70). Enter on an "S" breakout label (e.g., "S3" or "S4") when RSI crosses below a green support trendline projection. Confirm with price showing a lower high or bearish candlestick (e.g., shooting star). - **Stop-Loss**: Above the recent price high or RSI resistance level (e.g., 5-10% above entry). - **Take-Profit**: Target RSI hitting oversold (30) or a 2:1 risk-reward. Exit on bullish RSI crossover midline (50). - **Example Scenario**: In an uptrending pair, RSI peaks at 75 with a resistance trendline. On "S4" breakout, enter short. This targets momentum exhaustion after overbuying. - **Rationale**: Break below RSI support in overbought indicates weakening buying momentum, likely price downturn. Enhancing Strategy Validity with Other Indicators To increase the reliability of strategies based on this indicator, combine it with complementary tools for confirmation, filtering false signals, and adding context. This creates multi-indicator strategies that reduce whipsaws and improve win rates. Focus on indicators that address RSI's weaknesses (e.g., lagging, momentum-only). Below are examples of different indicators, how to integrate them, and sample strategies. 1. **Moving Averages (e.g., SMA/EMA)**: - **How to Use**: Overlay 50/200-period EMAs on the price chart. Use RSI breakouts only in the direction of the trend (e.g., long only if price > 200 EMA). - **Strategy Example**: Trend-Following Long – Enter on "B" RSI breakout if price is above 200 EMA and RSI > 50. This filters reversals in uptrends. Add MACD crossover for entry timing. Advantage: Aligns momentum with price trend, reducing counter-trend trades. 2. **Volume Indicators (e.g., Volume Oscillator or OBV)**: - **How to Use**: Require increasing volume on RSI breakouts (e.g., OBV making higher highs on bullish breakouts). - **Strategy Example**: Volume-Confirmed Short – On "S" breakout, check if volume is rising and OBV breaks its own trendline downward. Enter short only if confirmed. This validates breakouts with real market participation, avoiding low-volume traps. 3. **Other Oscillators (e.g., MACD or Stochastic)**: - **How to Use**: Use for divergence confirmation or overbought/oversold alignment. For instance, require Stochastic (14,3,3) to also breakout from its levels. - **Strategy Example**: Dual-Oscillator Reversal Long – Enable divergence in the indicator. Enter on bullish RSI divergence + "B" breakout if MACD histogram flips positive. Exit on MACD bearish crossover. This strengthens reversal signals by cross-verifying momentum. 4. **Price Action Tools (e.g., Support/Resistance or Candlestick Patterns)**: - **How to Use**: Map RSI trendlines to price levels (e.g., if RSI resistance breaks, check if price breaks a key resistance). - **Strategy Example**: Price-Aligned Breakout Short – On "S" RSI breakout in overbought, confirm with price breaking below a drawn support line or forming a bearish engulfing candle. Use Fibonacci retracements for targets. This ensures momentum translates to price movement. 5. **Volatility Indicators (e.g., Bollinger Bands or ATR)**: - **How to Use**: Avoid trades during low volatility (e.g., Bollinger Band squeeze) to filter ranging markets. Use ATR for dynamic stops. - **Strategy Example**: Volatility-Filtered Long – Enter "B" breakout only if Bollinger Bands are expanding (increasing volatility) and RSI is oversold. Set stop-loss at 1.5x ATR below entry. This targets high-momentum breakouts while skipping choppy periods. **General Tips for Building Enhanced Strategies**: - **Layering**: Start with RSI breakout as the primary signal, add 1-2 confirmations (e.g., EMA trend + volume). - **Backtesting**: Use TradingView's strategy tester to quantify win rates with/without additions. - **Risk Filters**: Incorporate overall market sentiment (e.g., via VIX) or avoid trading near news events. - **Timeframe Alignment**: Use higher timeframes for trend (e.g., daily EMA) and lower for entries (e.g., 1H RSI breakout). - **Avoid Overloading**: Too many indicators cause paralysis; aim for synergy (e.g., trend + momentum + volume). This indicator is a versatile tool, but success depends on context and discipline. If you need code modifications or specific backtests, provide more details!
Pine Script® indicator
by kointakipnet
1
Relative Strength Index with buy sell strategy📈 RSI Scalping Strategy (95% Winning Trades) 1️⃣ The Principle In scalping, timing is everything. We use one powerful indicator: RSI on the 1-minute chart (M1) ⏱️ 2️⃣ RSI Zones Setup 🔼 Overbought (Sell) Base line → 70 Add extra levels → 75 – 80 – 85 🔽 Oversold (Buy) Base line → 30 Add extra levels → 25 – 20 – 15 👉 These levels act as progressive entry signals using the DCA (Dollar Cost Averaging) method. 3️⃣ Concrete Example (on XAUUSD / Gold 🌟) Price hits RSI 25 → Enter with 0.1 lot RSI drops to 20 → Add 0.2 lot RSI falls to 15 → Add 0.5 lot ⚡️ Why does this work? Because at these extremes, the market is overheated and almost always makes a quick correction. 4️⃣ Exiting the Trade (Take Profit) 🎯 Target: Close between RSI 40 – 45 ❌ Never wait beyond RSI 50 ✅ Summary: Only enter at RSI extreme zones 🔫 Use progressive entries (DCA) ✔️ Exit when RSI reverts to the middle zone 💰
Pine Script® indicator
by mehdizala
RSI Cloud v1.0 [PriceBlance] RSI Cloud v1.0 — Ichimoku-style Cloud on RSI(14), not on price. Recalibrated baselines: EMA9 (Tenkan) for speed, WMA45 (Kijun) for stability. Plus ADX-on-RSI to grade strength so you know when momentum persists or fades. 1. Introduction RSI Cloud v1.0 applies an Ichimoku Cloud directly on RSI(14) to reveal momentum regimes earlier and cleaner than price-based views. We replaced Tenkan with EMA9 (faster, more responsive) and Kijun with WMA45 (slower, more stable) to fit a bounded oscillator (0–100). Forward spans (+26) and a lagging line (−26) provide a clear framework for trend bias and transitions. To qualify signals, the indicator adds ADX computed on RSI—highlighting whether strength is weak, strong, or very strong, so you can decide when to follow, fade, or stand aside. 2. Core Mapping (Hook + Bullets) At a glance: Ichimoku on RSI(14) with recalibrated baselines for a bounded oscillator. Source: RSI(14) Tenkan → EMA9(RSI) (fast, responsive) Kijun → WMA45(RSI) (slow, stable) Span A: classic Ichimoku midline, displaced +26 Span B: classic Ichimoku baseline, displaced +26 Lagging line: RSI shifted −26 3. Key Benefits (Why traders care) Momentum regimes on RSI: position vs. Cloud = bull / bear / transition at a glance. Cleaner confirmations: EMA9/WMA45 pairing cuts noise vs. raw 30/70 flips. Earlier warnings: Cloud breaks on RSI often lead price-based confirmations. 4. ADX on RSI (Enhanced Strength Normalization) Grade strength inside the RSI domain using ADX from ΔRSI: ADX ≤ 20 → Weak (transparency = 60) ADX ≤ 40 → Strong (transparency = 15) ADX > 40 → Very strong (transparency = 0) Use these tiers to decide when to trust, fade, or ignore a signal. 5. How to Read (Quick rules) Bias / Regime Bullish: RSI above Cloud and RSI > WMA45 Bearish: RSI below Cloud and RSI < WMA45 Neutral / Transition: all other cases 6. Settings (Copy & use) RSI Length: 14 (default) Tenkan: EMA9 on RSI · Kijun: WMA45 on RSI Displacement: +26 (Span A/B) · −26 (Lagging) Theme: PriceBlance Dark/Light Visibility toggles: Cloud, Baselines, Lagging, labels/panel, Overbought/Oversold, Divergence, ADX-on-RSI (via transparency coloring) 7. Credits & License Author/Brand: PriceBlance Version: v1.0 (Free) Watermark: PriceBlance • RSI Cloud v1.0 Disclaimer: Educational content; not financial advice. 8. CTA If this helps, please ⭐ Star and Follow for updates & new tools. Feedback is welcome—comment what you’d like added next (alerts, presets, visuals).
Pine Script® indicator
by priceblancetrading
Relative Performance Indicator - TrendSpider StyleRelative Performance Indicator - TrendSpider Style 📈 Overview This Relative Performance (RP) indicator measures how your stock is performing compared to a benchmark index, displayed as a percentile ranking from 0-100. Based on TrendSpider's methodology, it answers the critical question: "Is this stock a leader or a laggard?" Unlike simple ratio charts, this indicator uses percentile ranking to normalize relative performance, making it easy to identify when a stock is showing exceptional strength (>80) or concerning weakness (<20) compared to its historical relationship with the benchmark. ✨ Key Features Three Calculation Modes: Quarterly: 3-month relative performance for swing trading Yearly: Weighted 4-quarter performance for position trading TechRank: Composite of 6 technical indicators for multi-factor analysis Clean Visual Design: Green fills above 80 (strong outperformance) Red fills below 20 (significant underperformance) Dotted median line at 50 for quick reference Current value label for instant reading Flexible Benchmarks: Compare against major indices (SPY, QQQ, IWM) Sector ETFs for within-sector analysis Custom symbols for specialized comparisons Built-in Alerts: Strong performance zone entry (>80) Weak performance zone entry (<20) Median crossovers (50 level) 📊 How To Use Buy Signals: RP crosses above 80: Stock entering leadership status RP holding above 60: Maintaining relative strength RP rising while price consolidating: Accumulation phase Sell/Avoid Signals: RP drops below 50: Losing relative strength RP below 20: Significant underperformance RP falling while price rising: Bearish divergence Sector Rotation: Compare multiple assets to find strongest sectors Rotate into high RP assets (>70) Exit low RP positions (<30) 🎯 Reading The Values 80-100: Exceptional outperformance - Strong buy/hold 60-80: Moderate outperformance - Hold positions 40-60: Market perform - No edge 20-40: Underperformance - Caution/reduce 0-20: Severe underperformance - Avoid/exit ⚙️ Calculation Method Calculates percentage performance of both your stock and the benchmark Finds the performance differential Ranks this differential against historical values using percentile analysis Normalizes to 0-100 scale for easy interpretation This percentile approach adapts to different market conditions and volatility regimes, providing consistent signals whether in trending or choppy markets. 💡 Pro Tips For Growth Stocks: Use quarterly mode with QQQ as benchmark For Value Stocks: Use yearly mode with SPY as benchmark For Small Caps: Compare against IWM, not SPY For Sector Analysis: Use sector ETFs (XLK, XLF, XLE, etc.) Combine with Price Action: High RP + price breakout = powerful signal ⚠️ Important Notes RP is relative, not absolute - stocks can fall with high RP if the market falls harder Choose appropriate benchmarks for meaningful comparisons Best used in conjunction with price action and volume analysis Historical lookback period affects sensitivity (adjustable in settings) 🔧 Customization Fully customizable visual settings, thresholds, calculation periods, and smoothing options. Adjust the normalization lookback period (default 252 days) to fine-tune sensitivity to your trading timeframe. 📌 Credit Inspired by TrendSpider's Relative Performance implementation, adapted for TradingView with enhanced customization options and Pine Script v6 optimization. Tags to include: relativeperformance, relativestrength, percentile, ranking, sectorrotation, benchmark, outperformance, trendspider, marketbreadth, strengthindicator Category: Momentum Indicators / Trend Analysis Feel free to modify this description to match your style or add any specific points you want to emphasize!
Pine Script® indicator
by nippe678
SRFRZ EMA Crossover with RSI StrategySRFRZ EMA Crossover with RSI Strategy 1. Overview Strategy Name: SRFRZ EMA Crossover with RSI Strategy Summary: A trend-following strategy designed for Indian stock and index markets, operating on any timeframe (optimized for 1H or 4H charts). It combines a 9-period and 21-period EMA crossover with RSI confirmation to identify high-probability long entries during the Indian trading session (9:15 AM–3:25 PM IST). Backtested with a fixed 20% capital allocation per trade, 3% stop loss, and 50% take profit, it aims for consistent returns in trending markets. Intended Audience: Intermediate traders familiar with EMA and RSI, seeking automated signals for Indian markets. 2. How It Works (Core Logic) Entry Conditions (Long/Buy Signal): Primary Trigger: A "Golden Cross" occurs when the 9-period EMA crosses above the 21-period EMA, signaling bullish momentum. RSI Confirmation: RSI (14-period) must be above 55, or cross above 55, to confirm strong momentum. Trend Filter: The 9-period EMA must remain above the 21-period EMA for delayed RSI-triggered entries. Session Filter: Trades are only executed during the Indian market session (9:15 AM–3:25 PM IST, Monday–Friday). Exit Conditions: Take Profit (TP): Fixed at 50% above the entry price (e.g., entry at ₹100, TP at ₹150). Stop Loss (SL): Fixed at 3% below the entry price (e.g., entry at ₹100, SL at ₹97). Indicator-Based Exit: Close the position if a "Death Cross" occurs (21-period EMA crosses above 9-period EMA). Position Sizing: Allocates 20% of initial capital (₹100,000 default) per trade, calculated as (initial_capital * 0.20) / entry_price. 3. Key Indicators & Parameters Primary Indicators: EMA (9-period): Fast-moving average to capture short-term trends (plotted in blue). EMA (21-period): Slower-moving average for trend confirmation (plotted in red). RSI (14-period): Measures momentum, with a threshold of 55 for bullish confirmation (plotted in purple). Customizable Settings in Pine Script: initial_capital: Default ₹100,000 (adjust based on your account size). qty_percent: Default 20% of capital per trade (adjust for risk tolerance). sl_percent: Default 3% stop loss (adjust for volatility). tp_percent: Default 50% take profit (adjust for reward targets). session_time: Default "0915-1525:1234567" (Indian session, adjustable for other markets). Default Values: Optimized for Indian stocks/indices (e.g., NIFTY 50) on 1H or 4H charts. Risk Management: Always use the built-in 3% stop loss. Avoid trading during major news events (e.g., RBI announcements), as Pine Script cannot filter these. Risk only 20% of capital per trade to diversify exposure. Pro Tips: Combine with support/resistance levels for manual confirmation. Test on a demo account to validate performance on your chosen asset. Monitor RSI for overbought conditions (>70) to anticipate reversals. 4. Visuals on Chart Plotted Indicators: Blue line: 9-period EMA. Red line: 21-period EMA. Purple line: RSI (14-period) in a separate pane. Trade Signals: Green triangle (below bar): Long entry. Red triangle (above bar): Long exit (via TP, SL, or Death Cross). 5. Disclaimer & Notes Risk Warning: Past performance is not indicative of future results. Trading involves significant risk. This strategy is for educational purposes only and is not financial advice. Customization: The script is open-source (modify freely). Fork it to add short-selling logic or additional filters. Note: The strategy avoids trades during non-session hours but cannot filter news events. Manually check economic calendars. Add the script to your chart and adjust inputs (e.g., capital, TP/SL percentages). Enable alerts for "Long Entry" and "Long Exit TP/SL" or "EMA Exit" to automate signals. Optionally, connect to a broker via webhooks for auto-trading (consult your broker’s API).
Pine Script® strategy
by SARRUPAWASKAR
Tomazz.nq – RSI Dynamic DisplayThis script displays the RSI value directly on your chart for quick and efficient market monitoring. Fully customizable settings : RSI length, overbought/oversold levels, and colors. Clear color logic : red when RSI is above the overbought threshold, red when below the oversold threshold, green otherwise. Compact display in the top-right corner keeps your chart clean and focused. ➡️ Perfect for intraday and swing traders who want an at-a-glance RSI reading without opening a separate indicator window.
Pine Script® indicator
by Tomazz_
BayesStack RSI [CHE]BayesStack RSI — Stacked RSI with Bayesian outcome stats and gradient visualization Summary BayesStack RSI builds a four-length RSI stack and evaluates it with a simple Bayesian success model over a rolling window. It highlights bull and bear stack regimes, colors price with magnitude-based gradients, and reports per-regime counts, wins, and estimated win rate in a compact table. Signals seek to be more robust through explicit ordering tolerance, optional midline gating, and outcome evaluation that waits for events to mature by a fixed horizon. The design focuses on readable structure, conservative confirmation, and actionable context rather than raw oscillator flips. Motivation: Why this design? Classical RSI signals flip frequently in volatile phases and drift in calm regimes. Pure threshold rules often misclassify shallow pullbacks and stacked momentum phases. The core idea here is ordered, spaced RSI layers combined with outcome tracking. By requiring a consistent order with a tolerance and optionally gating by the midline, regime identification becomes clearer. A horizon-based maturation check and smoothed win-rate estimate provide pragmatic feedback about how often a given stack has recently worked. What’s different vs. standard approaches? Reference baseline: Traditional single-length RSI with overbought and oversold rules or simple crossovers. Architecture differences: Four fixed RSI lengths with strict ordering and a spacing tolerance. Optional requirement that all RSI values stay above or below the midline for bull or bear regimes. Outcome evaluation after a fixed horizon, then rolling counts and a prior-smoothed win rate. Dispersion measurement across the four RSIs with a percent-rank diagnostic. Gradient coloring of candles and wicks driven by stack magnitude. A last-bar statistics table with counts, wins, win rate, dispersion, and priors. Practical effect: Charts emphasize sustained momentum alignment instead of single-length crosses. Users see when regimes start, how strong alignment is, and how that regime has recently performed for the chosen horizon. How it works (technical) The script computes RSI on four lengths and forms a “stack” when they are strictly ordered with at least the chosen tolerance between adjacent lengths. A bull stack requires a descending set from long to short with positive spacing. A bear stack requires the opposite. Optional gating further requires all RSI values to sit above or below the midline. For evaluation, each detected stack is checked again after the horizon has fully elapsed. A bull event is a success if price is higher than it was at event time after the horizon has passed. A bear event succeeds if price is lower under the same rule. Rolling sums over the training window track counts and successes; a pair of priors stabilizes the win-rate estimate when sample sizes are small. Dispersion across the four RSIs is measured and converted to a percent rank over a configurable window. Gradients for bars and wicks are normalized over a lookback, then shaped by gamma controls to emphasize strong regimes. A statistics table is created once and updated on the last bar to minimize overhead. Overlay markers and wick coloring are rendered to the price chart even though the indicator runs in a separate pane. Parameter Guide Source — Input series for RSI. Default: close. Tips: Use typical price or hlc3 for smoother behavior. Overbought / Oversold — Guide levels for context. Defaults: seventy and thirty. Bounds: fifty to one hundred, zero to fifty. Tips: Narrow the band for faster feedback. Stacking tolerance (epsilon) — Minimum spacing between adjacent RSIs to qualify as a stack. Default: zero point twenty-five RSI points. Trade-off: Higher values reduce false stacks but delay entries. Horizon H — Bars ahead for outcome evaluation. Default: three. Trade-off: Longer horizons reduce noise but delay success attribution. Rolling window — Lookback for counts and wins. Default: five hundred. Trade-off: Longer windows stabilize the win rate but adapt more slowly. Alpha prior / Beta prior — Priors used to stabilize the win-rate estimate. Defaults: one and one. Trade-off: Larger priors reduce variance with sparse samples. Show RSI 8/13/21/34 — Toggle raw RSI lines. Default: on. Show consensus RSI — Weighted combination of the four RSIs. Default: on. Show OB/OS zones — Draw overbought, oversold, and midline. Default: on. Background regime — Pane background tint during bull or bear stacks. Default: on. Overlay regime markers — Entry markers on price when a stack forms. Default: on. Show statistics table — Last-bar table with counts, wins, win rate, dispersion, priors, and window. Default: on. Bull requires all above fifty / Bear requires all below fifty — Midline gate. Defaults: both on. Trade-off: Stricter regimes, fewer but cleaner signals. Enable gradient barcolor / wick coloring — Gradient visuals mapped to stack magnitude. Defaults: on. Trade-off: Clearer regime strength vs. extra rendering cost. Collection period — Normalization window for gradients. Default: one hundred. Trade-off: Shorter values react faster but fluctuate more. Gamma bars and shapes / Gamma plots — Curve shaping for gradients. Defaults: zero point seven and zero point eight. Trade-off: Higher values compress weak signals and emphasize strong ones. Gradient and wick transparency — Visual opacity controls. Defaults: zero. Up/Down colors (dark and neon) — Gradient endpoints. Defaults: green and red pairs. Fallback neutral candles — Directional coloring when gradients are off. Default: off. Show last candles — Limit for gradient squares rendering. Default: three hundred thirty-three. Dispersion percent-rank length / High and Low thresholds — Window and cutoffs for dispersion diagnostics. Defaults: two hundred fifty, eighty, and twenty. Table X/Y, Dark theme, Text size — Table anchor, theme, and typography. Defaults: right, top, dark, small. Reading & Interpretation RSI stack lines: Alignment and spacing convey regime quality. Wider spacing suggests stronger alignment. Consensus RSI: A single line that summarizes the four lengths; use as a smoother reference. Zones: Overbought, oversold, and midline provide context rather than standalone triggers. Background tint: Indicates active bull or bear stack. Markers: “Bull Stack Enter” or “Bear Stack Enter” appears when the stack first forms. Gradients: Brighter tones suggest stronger stack magnitude; dull tones suggest weak alignment. Table: Count and Wins show sample size and successes over the window. P(win) is a prior-stabilized estimate. Dispersion percent rank near the high threshold flags stretched alignment; near the low threshold flags tight clustering. Practical Workflows & Combinations Trend following: Enter only on new stack markers aligned with structure such as higher highs and higher lows for bull, or lower lows and lower highs for bear. Use the consensus RSI to avoid chasing into overbought or oversold extremes. Exits and stops: Consider reducing exposure when dispersion percent rank reaches the high threshold or when the stack loses ordering. Use the table’s P(win) as a context check rather than a direct signal. Multi-asset and multi-timeframe: Defaults travel well on liquid assets from intraday to daily. Combine with higher-timeframe structure or moving averages for regime confirmation. The script itself does not fetch higher-timeframe data. Behavior, Constraints & Performance Repaint and confirmation: Stack markers evaluate on the live bar and can flip until close. Alert behavior follows TradingView settings. Outcome evaluation uses matured events and does not look into the future. HTF and security: Not used. Repaint paths from higher-timeframe aggregation are avoided by design. Resources: max bars back is two thousand. The script uses rolling sums, percent rank, gradient rendering, and a last-bar table update. Shapes and colored wicks add draw overhead. Known limits: Lag can appear after sharp turns. Very small windows can overfit recent noise. P(win) is sensitive to sample size and priors. Dispersion normalization depends on the collection period. Sensible Defaults & Quick Tuning Start with the shipped defaults. Too many flips: Increase stacking tolerance, enable midline gates, or lengthen the collection period. Too sluggish: Reduce stacking tolerance, shorten the collection period, or relax midline gates. Sparse samples: Extend the rolling window or increase priors to stabilize P(win). Visual overload: Disable gradient squares or wick coloring, or raise transparency. What this indicator is—and isn’t This is a visualization and context layer for RSI stack regimes with simple outcome statistics. It is not a complete trading system, not predictive, and not a signal generator on its own. Use it with market structure, risk controls, and position management that fit your process. Metadata - Pine version: v6 - Overlay: false (price overlays are drawn via forced overlay where applicable) - Primary outputs: Four RSI lines, consensus line, OB/OS guides, background tint, entry markers, gradient bars and wicks, statistics table - Inputs with defaults: See Parameter Guide - Metrics and functions used: RSI, rolling sums, percent rank, dispersion across RSI set, gradient color mapping, table rendering, alerts - Special techniques: Ordered RSI stacking with tolerance, optional midline gating, horizon-based outcome maturation, prior-stabilized win rate, gradient normalization with gamma shaping - Performance and constraints: max bars back two thousand, rendering of shapes and table on last bar, no higher-timeframe data, no security calls - Recommended use-cases: Regime confirmation, momentum alignment, post-entry management with dispersion and recent outcome context - Compatibility: Works across assets and timeframes that support RSI - Limitations and risks: Sensitive to parameter choices and market regime changes; not a standalone strategy - Diagnostics: Statistics table, dispersion percent rank, gradient intensity Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Pine Script® indicator
by chervolino