Indicators: 6 RSI variationsAs we all know, as published by Wilder, RSI makes use of "CLOSE" values. You probably have experimented changing the input to hl2 or hlc3 . I have included many other RSI variations in this chart. Refer to the developers section below to learn how you can use this code in your scripts.
1) RSI with Volume
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Suggested by Morris, this idea adds volume to the RSI indicator. Because volume offers one means of determining whether money is entering or leaving a market, this would provide additional information with which to make trading decisions.
2) RSI using last Open
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This is RSI with yesterday's open, This basically compares two full days of price action and in the process produces a smoother RSI line.
RSI of today's close is used as a signal (blue line).
3) RSI using SMA
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Wilder used his own MA for calculating RSI (check my post on Wilders MA here - -- This closely resembles EMA). One of Morris's suggestion is to try out SMA.
Compared to normal RSI, you will see more squiggles here.
4) RSI using EMA
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Same idea as above, but using EMA.
5) RSI with Fibs
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How much does RSI retrace? This makes it easy to determine that :)
6) RSI of MACD
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As I mentioned earlier, RSI is a pluggable formula. You can substitute "close" with any data series to derive an index out of it.
This shows RSI of MACD. Note that this is range bound.
More info on RSI variations:
drive.google.com
For Pinescript developers:
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You can substitute your favorite indicator in the RSI function. I have made the RSI calculation a separate function in all the indicators above.
Following are the reusable functions (simply copy to your script and call with proper arguments):
* WiMA(src, length)
* calc_rsi(fv, length): This is equivalent to stock rsi() in TV.
* calc_rsi_volume(fv, length)
* calc_rsi_sma(fv, length)
* calc_rsi_ema(fv, length)
* calc_rsi_lastopen(fv, length)
* calc_macd(src, fast, slow)
You can also pick up fibs drawing code and put in on any indicator.
Tìm kiếm tập lệnh với "Rsi"
Volume-Weighted RSI & Multi-Normalized MACD### Description for Publishing: Volume-Weighted RSI & Multi-Normalized MACD
**Overview**
The "Volume-Weighted RSI & Multi-Normalized MACD" indicator is a powerful and versatile tool designed for traders seeking enhanced momentum and trend analysis. Combining a volume-weighted Relative Strength Index (VW-RSI) with a customizable Moving Average Convergence Divergence (MACD) featuring multiple normalization methods, this indicator provides deep insights into market dynamics. It supports multi-timeframe (MTF) analysis and includes an optional stepped plotting mode for discrete signal visualization, making it ideal for both trend-following and mean-reversion strategies across various markets (stocks, forex, crypto, etc.).
**Key Features**
1. **Volume-Weighted RSI (VW-RSI)**:
- A modified RSI that incorporates trading volume for greater sensitivity to market activity.
- Normalized to a user-defined range (default: -50 to +50) for consistent analysis.
- Optional smoothing with multiple moving average types (SMA, EMA, WMA, VWMA, SMMA, or SMA with Bollinger Bands) to reduce noise and highlight trends.
- Overbought (+20) and oversold (-20) levels for quick reference.
2. **Multi-Normalized MACD**:
- Offers six normalization methods for MACD, allowing traders to tailor the output to their strategy:
- Normalized Volume Weighted MACD (unbounded).
- Min-Max Normalization (bounded).
- Volatility Normalization (unbounded, volatility-adjusted).
- Volatility Normalization with Min-Max (bounded).
- Hyperbolic Tangent Normalization (bounded).
- Arctangent Normalization (bounded).
- Min-Max with Smoothing (bounded).
- All bounded methods scale to the user-defined range (default: -50 to +50), ensuring comparability with VW-RSI.
- Dynamic color changes for MACD line (lime/red) and histogram (aqua/blue/red/maroon) based on momentum and signal line crosses.
3. **Stepped Plotting Mode**:
- Optional mode to plot RSI and MACD as discrete, stepped lines, reducing noise by only updating when values change significantly (configurable thresholds).
- Ideal for traders focusing on clear, actionable signal changes.
4. **Multi-Timeframe Support**:
- Configurable timeframe input (default: chart timeframe) for analyzing RSI and MACD on higher or lower timeframes, enhancing cross-timeframe strategies.
5. **Customizable Display**:
- Toggle options to show/hide MACD line, signal line, histogram, and cross dots.
- Bollinger Bands for RSI smoothing (optional) with adjustable standard deviation multiplier.
- Clear visual cues with horizontal lines for overbought/oversold levels, midline, and MACD bounds.
**Usage Instructions**
1. **Add to Chart**: Apply the indicator to any symbol (e.g., BTCUSD, SPY) on any timeframe (1H, 1D, etc.).
2. **Configure Settings**:
- **General**: Adjust `Lower Bound` (-50 default) and `Upper Bound` (+50 default) for the output range. Set `Timeframe` for MTF analysis. Enable `Stepped?` for discrete plotting.
- **RSI**: Choose `Price Source` (default: ohlc4), `RSI Length` (default: 9), and smoothing options (e.g., EMA, Bollinger Bands). Adjust `RSI Diff Threshold` for stepped mode.
- **MACD**: Select `Price Source`, `Fast Length` (9), `Slow Length` (21), `Signal Length` (9), and a normalization method (default: Volatility Min-Max). Adjust `MACD Diff Threshold` for stepped mode.
- **Display Options**: Toggle MACD components and histogram colors for clarity.
3. **Interpretation**:
- **VW-RSI**: Watch for crosses above +20 (overbought) or below -20 (oversold) for potential reversals. Use smoothed RSI or Bollinger Bands for trend confirmation.
- **MACD**: Look for MACD/Signal line crosses (dots indicate crossings) and histogram changes for momentum shifts. Bounded normalizations align with RSI for unified analysis.
- **Stepped Mode**: Focus on significant changes in RSI/MACD for clearer signals.
4. **Companion Overlay**: For visualization on the main price chart, use the companion script "VW-RSI & MACD Price Overlay" (available separately, requires this script to be published). It plots RSI and MACD as price-scaled echo lines, with toggles to show/hide and customizable scaling (high/low or ATR).
**Who Is This For?**
- **Trend Traders**: Use MACD normalizations and MTF to identify momentum shifts across timeframes.
- **Mean-Reversion Traders**: Leverage VW-RSI’s overbought/oversold signals for entry/exit points.
- **Technical Analysts**: Customize normalization and smoothing to match specific market conditions.
- **All Markets**: Works on stocks, forex, cryptocurrencies, and more, with any timeframe.
**Notes**
- Unbounded MACD normalizations (`enable_nvw`, `enable_vol`) may produce values outside -50/+50, suitable for volatility-focused strategies.
- For price chart overlay, publish this script and use its ID in the companion script’s `request.security` call.
- Adjust scaling inputs in the companion script for optimal visualization on volatile or stable assets.
**Author’s Note**
Developed by NEPOLIX, this indicator combines volume-weighted precision with flexible normalization for robust technical analysis. Feedback and suggestions are welcome to enhance future versions!
TSLA Scalping Signals (Volume + RSI + MACD + VWAP)//@version=5
indicator("TSLA Scalping Signals (Volume + RSI + MACD + VWAP)", overlay=true, timeframe="", timeframe_gaps=true)
// =========================
// 사용자 입력(파라미터)
// =========================
// RSI 길이와 과매도/과매수 기준
rsiLen = input.int(5, "RSI 길이", minval=2)
rsiLow = input.int(35, "RSI 과매도 기준", minval=5, maxval=50)
rsiHigh = input.int(70, "RSI 과매수 기준", minval=50, maxval=95)
// MACD 파라미터
fastLen = input.int(12, "MACD Fast", minval=1)
slowLen = input.int(26, "MACD Slow", minval=2)
sigLen = input.int(9, "MACD Signal", minval=1)
// 거래량 스파이크 판단용
volSmaLen = input.int(20, "거래량 SMA 길이", minval=5)
volSpikeMult = input.float(1.5, "거래량 스파이크 배수", minval=0.5, step=0.1)
// 손절/익절(선택)
useStops = input.bool(true, "손절/익절 사용")
stopATRlen = input.int(14, "ATR 길이", minval=5)
stopATRmult = input.float(1.2, "손절 ATR 배수", minval=0.5, step=0.1)
tpRR = input.float(1.5, "익절 R 비율(손절의 배수)", minval=0.5, step=0.1)
// =========================
// 지표 계산부
// =========================
// VWAP: 단타 기준 핵심 추세선
vwap = ta.vwap(close)
// RSI(단기)
rsi = ta.rsi(close, rsiLen)
// MACD
macd = ta.ema(close, fastLen) - ta.ema(close, slowLen)
sig = ta.ema(macd, sigLen)
hist = macd - sig
// 거래량 스파이크: 현재 거래량이 거래량 SMA * 배수 이상인지
volSma = ta.sma(volume, volSmaLen)
volSpike = volume > volSma * volSpikeMult
// =========================
// 진입/청산 조건
// =========================
// 롱 진입 조건:
// 1) 가격 VWAP 위
// 2) MACD 상향 교차
// 3) RSI가 rsiLow 아래→위로 돌파
// 4) 거래량 스파이크
longCond = close > vwap and ta.crossover(macd, sig) and ta.crossover(rsi, rsiLow) and volSpike
// 롱 청산 조건(부분 청산/전체 청산 판단은 사용자 재량):
// A) RSI 과매수 도달, 또는
// B) MACD 하향 교차, 또는
// C) 가격이 VWAP 아래로 종가 이탈하면서 거래량 약화(현재 거래량 < volSma)
exitCond = (rsi > rsiHigh) or ta.crossunder(macd, sig) or (close < vwap and volume < volSma)
// =========================
// 시각적 표시
// =========================
plot(vwap, "VWAP", linewidth=2)
plotshape(longCond, title="BUY", style=shape.labelup, text="BUY", location=location.belowbar, size=size.tiny)
plotshape(exitCond, title="SELL", style=shape.labeldown, text="SELL", location=location.abovebar, size=size.tiny)
// 보조 하단창: RSI, MACD는 별도 패널이 일반적이므로 값만 툴팁용 표시
// (원하면 아래 plot들을 꺼도 됨)
rsiPlot = plot(rsi, title="RSI(단기)", color=color.new(color.blue, 0), display=display.none)
h1 = hline(rsiLow, "RSI 과매도", color=color.new(color.teal, 50))
h2 = hline(rsiHigh, "RSI 과매수", color=color.new(color.red, 50))
// =========================
// 간단 손절/익절 레벨(선택)
// =========================
// 매수 발생 바의 가격을 기준으로 ATR 손절/익절 레벨 산출
atr = ta.atr(stopATRlen)
var float entryPrice = na
var float stopPrice = na
var float takePrice = na
// 롱 진입 시 가격 고정
if (longCond)
entryPrice := close
stopPrice := useStops ? (close - atr * stopATRmult) : na
takePrice := useStops ? (close + (close - stopPrice) * tpRR) : na
// 청산 신호 시 초기화
if (exitCond)
entryPrice := na
stopPrice := na
takePrice := na
plot(entryPrice, "Entry", color=color.new(color.green, 60), style=plot.style_circles, linewidth=2)
plot(stopPrice, "Stop", color=color.new(color.red, 60), style=plot.style_linebr, linewidth=2)
plot(takePrice, "Take", color=color.new(color.blue, 60), style=plot.style_linebr, linewidth=2)
// =========================
// 알림 조건
// =========================
alertcondition(longCond, title="BUY Signal", message="BUY signal: VWAP↑, MACD cross↑, RSI cross↑, Volume spike.")
alertcondition(exitCond, title="SELL Signal", message="SELL signal: RSI high or MACD cross↓ or below VWAP with weak volume.")
Reverse RSI Signals [AlgoAlpha]🟠 OVERVIEW
This script introduces the Reverse RSI Signals system, an original approach that inverts traditional RSI values back into price levels and then overlays them directly on the chart as dynamic bands. Instead of showing RSI in a subwindow, the script calculates the exact price thresholds that correspond to common RSI levels (30/70/50) and displays them as upper, lower, and midline bands. These are further enhanced with an adaptive Supertrend filter and divergence detection, allowing traders to see overbought/oversold zones translated into actionable price ranges and trend signals. The script combines concepts of RSI inversion, volatility envelopes, and divergence tracking to provide a context-driven tool for spotting reversals and regime shifts.
🟠 CONCEPTS
The script relies on inverting RSI math: by solving for the price that would yield a given RSI level, it generates real chart levels tied to oscillator conditions. These RSI-derived price bands act like support/resistance, adapting each bar as RSI changes. On top of this, a Supertrend built around the RSI midline introduces directional bias, switching regimes when the midline is breached. Regular bullish and bearish divergences are detected by comparing RSI pivots against price pivots, highlighting early reversal conditions. This layered approach means the indicator is not just RSI on price but a hybrid of oscillator translation, volatility-tracking midline envelopes, and divergence analysis.
🟠 FEATURES
Inverted RSI bands: upper (70), lower (30), and midline (50), smoothed with EMA for noise reduction.
Supertrend overlay on the RSI midline to confirm regime direction (bullish or bearish).
Gradient-filled zones between outer and inner RSI bands to visualize proximity and exhaustion.
Non-repainting bullish and bearish divergence markers plotted directly on chart highs/lows.
🟠 USAGE
Apply the indicator to any chart and use the plotted RSI price bands as adaptive support/resistance. The midline defines equilibrium, while upper and lower bands represent classic RSI thresholds translated into real price action. In bullish regimes (green candles), long trades are stronger when price approaches or bounces from the lower band; in bearish regimes (red candles), shorts are favored near the upper band. Divergence markers (▲ for bullish, ▼ for bearish) flag potential reversal points early. Traders can combine the band proximity, divergence alerts, and Supertrend context to time entries, exits, or to refine ongoing trend trades. Adjust smoothing and Supertrend ATR settings to match the volatility of the instrument being analyzed.
ZigZag Based RSIDescription
ZigZag Trend RSI (ZZ-RSI) is an advanced momentum indicator that combines ZigZag-based trend detection with a trend-adjusted RSI to deliver smarter overbought and oversold signals. Unlike traditional RSI that reacts purely to price movement, this indicator adapts its sensitivity based on the prevailing trend structure identified via the ZigZag pattern.
By dynamically adjusting RSI thresholds according to market direction, ZZ-RSI helps filter out false signals and aligns RSI readings with broader trend context—crucial for trend-following strategies, counter-trend entries, and volatility-based timing.
Core Components
ZigZag Pattern Recognition:
Identifies significant swing highs and lows based on price deviation (%) and pivot sensitivity (length). The most recent pivot determines the prevailing trend direction:
🟢 Bullish: last swing is a higher high
🔴 Bearish: last swing is a lower low
⚪ Neutral: no recent significant movement
Trend-Weighted RSI:
Modifies traditional RSI input by emphasizing price changes in the direction of the trend:
In bull trends, upside moves are magnified.
In bear trends, downside moves are emphasized.
Dynamic RSI Zones:
Overbought and Oversold thresholds adapt to the trend:
In uptrends: higher OB and slightly raised OS → tolerate stronger rallies
In downtrends: lower OS and slightly reduced OB → accommodate stronger sell-offs
In neutral: default OB/OS values apply
How to Use
✅ Entries (Reversal or Mean Reversion Traders):
Look for oversold signals (green triangle) in downtrends or neutrals to catch potential reversals.
Look for overbought signals (red triangle) in uptrends or neutrals to fade momentum.
Confirm with price action or volume for higher conviction.
📈 Trend Continuation (Momentum or Trend-Followers):
Use the trend direction label (Bullish / Bearish / Neutral) to align your trades with the broader move.
Combine with moving averages or price structure for entry timing.
Avoid counter-trend signals unless confirmed by divergence or exhaustion.
🧠 Signal Interpretation Table (top right of chart):
Trend: Indicates the current market direction.
RSI: Real-time trend-adjusted RSI value.
Signal: OB/OS/Neutral classification.
Customization Options
ZigZag Length / Deviation %:
Adjust pivot sensitivity and filter out minor noise.
RSI Length:
Controls how fast RSI responds to trend-adjusted price.
Color Settings:
Personalize visual cues for trend direction and OB/OS backgrounds.
Alerts Included
📢 Overbought/oversold conditions
🔄 Trend reversals (bullish or bearish shift)
These alerts are ideal for automated strategies, mobile notifications, or algorithmic workflows.
Ideal For
Traders seeking smarter RSI signals filtered by market structure
Trend-followers and swing traders looking for reliable reversals
Those frustrated with false OB/OS signals in volatile or trending markets
Best Practices
Use in confluence with price structure, trendlines, or S/R levels.
For intraday: consider lowering ZigZag Length and RSI Length.
For higher timeframes: use higher deviation % and smoother RSI to reduce noise.
Contrarian RSIContrarian RSI Indicator
Pairs nicely with Contrarian 100 MA (optional hide/unhide buy/sell signals)
Description
The Contrarian RSI is a momentum-based technical indicator designed to identify potential reversal points in price action by combining a unique RSI calculation with a predictive range model inspired by the "Contrarian 5 Levels" logic. Unlike traditional RSI, which measures price momentum based solely on price changes, this indicator integrates a smoothed, weighted momentum calculation and predictive price ranges to generate contrarian signals. It is particularly suited for traders looking to capture reversals in trending or range-bound markets.
This indicator is versatile and can be used across various timeframes, though it performs best on higher timeframes (e.g., 1H, 4H, or Daily) due to reduced noise and more reliable signals. Lower timeframes may require additional testing and careful parameter tuning to optimize performance.
How It Works
The Contrarian RSI combines two primary components:
Predictive Ranges (5 Levels Logic): This calculates a smoothed price average that adapts to market volatility using an ATR-based mechanism. It helps identify significant price levels that act as potential support or resistance zones.
Contrarian RSI Calculation: A modified RSI calculation that uses weighted momentum from the predictive ranges to measure buying and selling pressure. The result is smoothed and paired with a user-defined moving average to generate clear signals.
The indicator generates buy (long) and sell (exit) signals based on crossovers and crossunders of user-defined overbought and oversold levels, making it ideal for contrarian trading strategies.
Calculation Overview
Predictive Ranges (5 Levels Logic):
Uses a custom function (pred_ranges) to calculate a dynamic price average (avg) based on the ATR (Average True Range) multiplied by a user-defined factor (mult).
The average adjusts only when the price moves beyond the ATR threshold, ensuring responsiveness to significant price changes while filtering out noise.
This calculation is performed on a user-specified timeframe (tf5Levels) for multi-timeframe analysis.
Contrarian RSI:
Compares consecutive predictive range values to calculate gains (g) and losses (l) over a user-defined period (crsiLength).
Applies a Gaussian weighting function (weight = math.exp(-math.pow(i / crsiLength, 2))) to prioritize recent price movements.
Computes a "wave ratio" (net_momentum / total_energy) to normalize momentum, which is then scaled to a 0–100 range (qrsi = 50 + 50 * wave_ratio).
Smooths the result with a 2-period EMA (qrsi_smoothed) for stability.
Moving Average:
Applies a user-selected moving average (SMA, EMA, WMA, SMMA, or VWMA) with a customizable length (maLength) to the smoothed RSI (qrsi_smoothed) to generate the final indicator value (qrsi_ma).
Signal Generation:
Long Entry: Triggered when qrsi_ma crosses above the oversold level (oversoldLevel, default: 1).
Long Exit: Triggered when qrsi_ma crosses below the overbought level (overboughtLevel, default: 99).
Entry and Exit Rules
Long Entry: Enter a long position when the Contrarian RSI (qrsi_ma) crosses above the oversold level (default: 1). This suggests the asset is potentially oversold and due for a reversal.
Long Exit: Exit the long position when the Contrarian RSI (qrsi_ma) crosses below the overbought level (default: 99), indicating a potential overbought condition and a reversal to the downside.
Customization: Adjust overboughtLevel and oversoldLevel to fine-tune sensitivity. Lower timeframes may benefit from tighter levels (e.g., 20 for oversold, 80 for overbought), while higher timeframes can use extreme levels (e.g., 1 and 99) for stronger reversals.
Timeframe Considerations
Higher Timeframes (Recommended): The indicator is optimized for higher timeframes (e.g., 1H, 4H, Daily) due to its reliance on predictive ranges and smoothed momentum, which perform best with less market noise. These timeframes typically yield more reliable reversal signals.
Lower Timeframes: The indicator can be used on lower timeframes (e.g., 5M, 15M), but signals may be noisier and require additional confirmation (e.g., from price action or other indicators). Extensive backtesting and parameter optimization (e.g., adjusting crsiLength, maLength, or mult) are recommended for lower timeframes.
Inputs
Contrarian RSI Length (crsiLength): Length for RSI momentum calculation (default: 5).
RSI MA Length (maLength): Length of the moving average applied to the RSI (default: 1, effectively no MA).
MA Type (maType): Choose from SMA, EMA, WMA, SMMA, or VWMA (default: SMA).
Overbought Level (overboughtLevel): Upper threshold for exit signals (default: 99).
Oversold Level (oversoldLevel): Lower threshold for entry signals (default: 1).
Plot Signals on Main Chart (plotOnChart): Toggle to display signals on the price chart or the indicator panel (default: false).
Plotted on Lower:
Plotted on Chart:
5 Levels Length (length5Levels): Length for predictive range calculation (default: 200).
Factor (mult): ATR multiplier for predictive ranges (default: 6.0).
5 Levels Timeframe (tf5Levels): Timeframe for predictive range calculation (default: chart timeframe).
Visuals
Contrarian RSI MA: Plotted as a yellow line, representing the smoothed Contrarian RSI with the applied moving average.
Overbought/Oversold Lines: Red line for overbought (default: 99) and green line for oversold (default: 1).
Signals: Blue circles for long entries, white circles for long exits. Signals can be plotted on the main chart (plotOnChart = true) or the indicator panel (plotOnChart = false).
Usage Notes
Use the indicator in conjunction with other tools (e.g., support/resistance, trendlines, or volume) to confirm signals.
Test extensively on your chosen timeframe and asset to optimize parameters like crsiLength, maLength, and mult.
Be cautious with lower timeframes, as false signals may occur due to market noise.
The indicator is designed for contrarian strategies, so it works best in markets with clear reversal patterns.
Disclaimer
This indicator is provided for educational and informational purposes only. Always conduct thorough backtesting and risk management before using any indicator in live trading. The author is not responsible for any financial losses incurred.
True High/Low RSI for DivergenceThis Pine Script creates a highly specialized RSI (Relative Strength Index) indicator designed to provide a more accurate signal for divergence trading. Its official title is "True High/Low RSI for Divergence."
Here is a breakdown of its core features:
1. Dual RSI Calculation based on Highs and Lows:
Unlike a standard RSI that typically uses the closing price of a candle, this indicator calculates two separate RSI lines:
A "High RSI" : This line calculates the RSI based on the high price of each candle. It is intended to track momentum peaks more accurately.
A "Low RSI" : This line calculates the RSI based on the low price of each candle. It is designed to track momentum troughs more accurately.
The main purpose of this separation is to avoid the potential errors that can occur when using an average price (like the close or hl2) during periods of high volatility. By using the true extremes of the price candles, the indicator aims to show a more "true" representation of momentum for identifying divergences between price and the indicator.
2. Dynamic Transparency:
This is a key visual feature. The RSI lines are not always fully visible. They dynamically fade into view as they enter significant overbought or oversold zones:
The Low RSI line (red by default) is invisible when above a value of 50. As it drops from 49 towards 30, it becomes progressively more opaque (more visible). It reaches full opacity at an RSI value of 30, visually alerting the user to strengthening oversold conditions.
The High RSI line (blue by default) is invisible when below a value of 50. As it rises from 51 towards 70, it also becomes progressively more opaque. It is fully opaque at an RSI value of 70, highlighting strengthening overbought conditions.
3. User Customization:
The script allows for user flexibility. You can change:
The colors for both the High and Low RSI lines.
The RSI calculation length (default is 14).
The price source for each RSI line (though they are specifically designed to use high and low).
In summary, this indicator is a purpose-built tool for traders who rely on divergence. It provides a more precise and visually intuitive way to track momentum at its true peaks and troughs, helping to make more informed trading decisions.
MACD of RSI [TORYS]MACD of RSI — Momentum & Divergence Scanner
Description:
This enhanced oscillator applies MACD logic directly to the Relative Strength Index (RSI) rather than price, giving traders a clearer look at internal momentum and early shifts in trend strength. Now featuring a custom histogram, dual MA types, and RSI-based divergence detection — it’s a complete toolkit for identifying exhaustion, acceleration, and hidden reversal points in real time.
How It Works:
Calculates the MACD line as the difference between a fast and slow moving average of RSI. Adds a Signal Line (MA of the MACD) and plots a Histogram to show momentum acceleration/deceleration. Both RSI MAs and the Signal Line can be toggled between EMA and SMA for custom tuning.
Divergence Detection:
Bullish Divergence : Price makes a lower low while RSI makes a higher low → labeled with a green “D” below the curve.
Bearish Divergence : Price makes a higher high while RSI makes a lower high → labeled with a red “D” above the curve.
Configurable lookback window for tuning sensitivity to pivots, with 4 as the sweet spot.
RSI Pivot Dot Signals:
Plots green dots at RSI oversold pivot lows below 30,
Plots red dots at overbought pivot highs above 70.
Helps detect short-term exhaustion or bounce zones, plotted right on the MACD-RSI curve.
RSI 50 Crosses (Optional):
Optional ▲ and ▼ labels when RSI crosses its 50 midline — useful for momentum trend shifts or pullback confirmation, or to detect consolidation.
Histogram:
Plotted as a column chart showing the distance between MACD and Signal Line.
Colored dynamically:
Bright green : Momentum rising above zero
Light green : Weakening above zero
Bright red : Momentum falling below zero
Light red : Weakening below zero
The zero line serves as the mid-point:
Above = Bullish Bias
Below = Bearish Bias
How to Interpret:
Momentum Confirmation:
Use MACD cross above Signal Line with a rising histogram to confirm breakouts or trend entries.
Histogram shrinking near zero = momentum weakening → caution or reversal.
Exhaustion & Reversals:
Dot signals near RSI extremes + histogram peak can suggest overbought/oversold pressure.
Use divergence labels ("D") to spot early reversal signals before price breaks structure.
Inputs & Settings:
RSI Length
Fast/Slow MA Lengths for MACD (applied to RSI)
Signal Line Length
MA Type: Choose between EMA and SMA for MACD and Signal Line
Pivot Sensitivity for dot markers
Divergence Logic Toggle
Show/hide RSI 50 Crosses
Best For:
Traders who want momentum insight from inside RSI, not price
Scalpers using divergence or exhaustion entries
Swing traders seeking entry confirmation from signal crossovers
Anyone using multi-timeframe confluence with RSI and trend filters
Pro Tips:
Combine this with:
Bollinger Bands breakouts and reversals
VWAP or EMAs to filter entries by trend
Volume spikes or BBW squeezes for volatility confirmation
TTM Scalper Alert to sync structure and momentum
Parabolic RSI [ChartPrime]The Parabolic RSI indicator applies the Parabolic SAR directly to the Relative Strength Index (RSI) . This combination helps traders identify trend shifts and potential reversal points within the RSI framework. The indicator provides both regular and strong signals based on whether the Parabolic SAR crosses above or below key RSI thresholds.
⯁ KEY FEATURES
Parabolic SAR Applied to RSI – Tracks momentum shifts within the RSI indicator.
Dynamic SAR Dots – Plots SAR levels directly on the RSI for visual clarity.
Threshold-Based Signal Filtering – Uses upper (70) and lower (30) RSI levels to determine strong signals.
Simple and Strong Signal System :
Big Diamonds (Strong Signals) – Appear when Parabolic SAR crosses above 70 or below 30 RSI, indicating potential reversals.
Small Diamonds (Regular Signals) – Appear when Parabolic SAR flips inside the RSI range, signaling weaker trend shifts.
Chart Overlay Signals – Highlights strong RSI-based trend shifts directly on the price chart.
Fully Customizable – Modify RSI length, SAR parameters, colors, and signal displays.
⯁ HOW TO USE
Look for strong signals (big diamonds) when SAR flips above 70 RSI (overbought) or below 30 RSI (oversold) for potential reversals.
Use regular signals (small diamonds) for minor trend shifts within the RSI range.
Combine with price action and other indicators to confirm entry and exit points.
Adjust the SAR acceleration factors to fine-tune sensitivity based on market conditions.
⯁ CONCLUSION
The Parabolic RSI indicator merges trend-following and momentum-based analysis by applying the Parabolic SAR to RSI. This allows traders to detect trend shifts inside the RSI space with an intuitive diamond-based signal system . Whether used alone or as part of a broader trading strategy, this indicator provides a clear and structured approach to identifying momentum reversals and potential trading opportunities.
Double RSI OscillatorThe Double RSI Oscillator
Hello Gs,
I came back from the dead and tried to see what a little tweak to RSI could do, and I think it is quite interesting and might be worth checking out.
Warning:
This indicator has lots of false signals unfortunatly
How does the DRSI Oscillator work?
Very simple, the DRSI oscillator at the very base is just 2 RSIs that should smooth each other out, making a smoother trend signal generation for trend analysis. One RSI is set to have lower values, by considering the lowest point of the price, and one RSI is set to have higher values using pretty much the same thing. The trend changes from positive to negative if RSI with higher values crosses negative treshhold, and from negative to positive if RSI with lower value crosses positive treshhold. On top of this I added some additional settings to smooth or speed it further, if these were a good idea, I guess only time will tell :D.
Settings
Here is a guide of what setting changes what and how it might be suitable for you:
RSI Optimism length: length of the RSI with higher values (higher values will be better for longer term, lower for medium term)
RSI Pesimism length: length of the RSI with lower values (higher values will be better for longer term, lower for medium term)
Positive treshhold: The value RSI pesimism needs to pass in order to change trends (in case of using RSI avg. the value the average needs to pass), making this higher can give you faster signals, but expect more false ones
Negative treshholds: The value RSI optimism needs to pass in order to change trends (in case of using RSI avg. the value the average needs to pass), lowering this can give you faster signals, but expect more false ones
Smoothing type: Select the type of smoothing (or none) to smooth your signals as you want, this one you need to play around with.
Smoothing length: The length of your smoothing method (if none is selected it wont change anything)
Use RSI average instead: self-explanatory, go figure
Above/Below Mean Trend: Changes the way trend logic works
Why consider using this indicator?
The DRSI Oscillator is a tool that has huge flexibility (due to tons of settings that base RSI doesnt, like trend treshholds), and is smoother allowing traders and investors to get high quality or high speed signals, allowing great entries and exits
Median RSI SD| QuantEdgeB📈 Introducing Median RSI SD by QuantEdgeB
🛠️ Overview
Median RSI SD is a hybrid momentum tool that fuses two powerful techniques: Median Price Filtering and RSI-based Momentum. The result? A cleaner, more responsive oscillator designed to reduce noise and increase clarity in trend detection and potential reversals.
By applying the RSI not to raw price but to the percentile-based median, the indicator adapts better to real structural shifts in the market while filtering out temporary price spikes.
✨ Key Features
🔹 Smoothed RSI Momentum
Utilizes a percentile-based median as input to RSI, reducing volatility and enhancing signal reliability.
🔹 Volatility-Weighted SD Zones
Automatically detects overbought/oversold extremes using ±1 standard deviation bands on the median, adapting to current market volatility.
🔹 Trend Signal Overlay
A directional trend signal (Long / Short / Neutral) is derived from the RSI crossing custom thresholds, combined with position relative to SD bands.
🔹 Visual Labeling System
Optional in-chart labels for Long / Short signals and fully color-customizable theme modes.
📊 How It Works
1️⃣ Median RSI Calculation
Instead of using the close price directly, the script first computes a smoothed median via percentile ranking. RSI is then applied to this filtered stream, improving reactivity without overfitting to short-term noise.
2️⃣ Standard Deviation Filtering
Upper and lower SD bands are calculated around the median to identify extreme conditions. A position near the upper SD while RSI is below the short threshold triggers bearish bias. The reverse applies for longs.
3️⃣ Signal Generation
• ✅ Long Signal → RSI crosses above the Long Threshold (default: 65) and price holds above lower SD.
• ❌ Short Signal → RSI crosses below the Short Threshold (default: 45), typically within upper SD range.
4️⃣ Contextual Highlighting
Zone fills on the chart and RSI subgraph indicate Overbought (>75) and Oversold (<25) conditions for added clarity.
⚙️ Custom Settings
• RSI Length → Default: 21
• Median Length → Default: 10
• Long Threshold → Default: 65
• Short Threshold → Default: 45
• Color Mode → Choose from Strategy, Solar, Warm, Cool, Classic, Magic
• Signal Labels Toggle → Optional in-chart long/short labels
👥 Who Should Use It?
✅ Swing & Momentum Traders → Filter entries based on confirmed directional RSI setups.
✅ Range-Bound Traders → Use SD thresholds to spot fakeouts or exhaustion zones.
✅ Intraday Strategists → Enhanced signal clarity makes it usable even on lower timeframes.
✅ System Builders → Combine this signal with price action or confluence layers for smarter rules.
📌 Conclusion
Median RSI SD by QuantEdgeB is more than just a modified oscillator—it's a robust momentum confirmation framework designed for modern volatility. By replacing noisy price feeds with a statistically stable input and layering RSI + SD logic, this tool provides high-clarity signals without sacrificing responsiveness.
🔹 Key Takeaways:
1️⃣ Median-filtered RSI eliminates noise without lag
2️⃣ Standard deviation bands identify exhaustion zones
3️⃣ Reliable for both trend continuation and mean-reversion strategies
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Modified RSIModified RSI (Round Number RSI)
Category: Oscillator / Momentum
Description
The Modified RSI (Round Number RSI) is an enhanced version of the classic Relative Strength Index (RSI), designed to provide clearer and more structured signals by rounding its values to whole numbers. This modification helps traders filter out noise, making trend analysis and overbought/oversold conditions easier to interpret.
Key Features:
✔ Rounded RSI Values – Instead of fluctuating with decimals, this RSI rounds values to whole numbers (e.g., 30, 50, 70) for clearer decision-making.
✔ Easier Signal Interpretation – Helps traders identify key RSI levels without distractions from small fluctuations.
✔ Customizable Lookback Period – Allows adjustment of RSI sensitivity to fit different trading strategies.
✔ Works on All Timeframes & Assets – Can be applied to stocks, forex, crypto, and futures.
How to Use It:
📌 Overbought & Oversold Levels:
RSI ≥ 70 → Market may be overbought (potential reversal or correction).
RSI ≤ 30 → Market may be oversold (potential buying opportunity).
📌 Trend Confirmation:
RSI staying above 50 signals bullish momentum.
RSI staying below 50 signals bearish momentum.
📌 Divergence Trading:
Price makes a new high, but RSI does not → Bearish Divergence (Possible Downtrend).
Price makes a new low, but RSI does not → Bullish Divergence (Possible Uptrend).
Best Used For:
📈 Day Traders & Swing Traders looking for simplified RSI signals.
📉 Trend Confirmation with moving averages or volume analysis.
⚡ Confluence Trading with support/resistance zones.
Why Use This Over Traditional RSI?
🔹 Removes unnecessary noise by rounding RSI values.
🔹 Helps traders focus on key levels (30, 50, 70).
🔹 Reduces decision fatigue for fast-paced trading.
Normalized RSI Oscillator with DivergencesNormalized RSI with Divergences {A Next-Level Trading Tool}
The Normalized RSI with Divergences indicator is a powerful and innovative tool designed to enhance your trading precision. By normalizing the Relative Strength Index (RSI) and detecting divergences between the standard and normalized RSI, this script helps traders identify potential trend reversals and continuations with remarkable clarity.
Key Features
🔹 Advanced RSI Normalization
• Transforms the traditional RSI into a normalized range of , making overbought and oversold conditions more intuitive.
• Utilizes a dynamic lookback period to adapt to market conditions.
🔹 Divergence Detection for Smarter Trading
• Identifies Bullish, Hidden Bullish, Bearish, and Hidden Bearish divergences by analyzing RSI pivot points.
• Provides early signals of trend reversals and continuations for better trade execution.
🔹 Clear & Visual Trade Signals
• Divergences are automatically labeled on the chart:
o Bullish Divergence: 🟢 “Bull” (Green) – Possible upward reversal.
o Hidden Bullish Divergence: 🟢 “Hid.” (Lime) – Continuation of an uptrend.
o Bearish Divergence: 🔴 “Bear” (Red) – Possible downward reversal.
o Hidden Bearish Divergence: 🟠 “Hid.” (Orange) – Continuation of a downtrend.
🔹 Fully Customizable Inputs
• Adjust RSI period, normalization lookback, and divergence parameters to fit your strategy.
• Tailor the indicator to your preferred trading style and market conditions.
________________________________________
How It Works
🔹 RSI Normalization Formula:
Norm=2×(RSI−MinMax−Min)−1\text{Norm} = 2 \times \left(\frac{\text{RSI} - \text{Min}}{\text{Max} - \text{Min}}\right) - 1Norm=2×(Max−MinRSI−Min)−1
• Min & Max represent the lowest and highest RSI values over the selected lookback period.
🔹 Divergence Detection Process:
• Identifies pivot points in both the normalized RSI and the standard RSI.
• Compares their directions to detect potential trading signals.
🔹 Real-Time Chart Labeling:
• Uses label.new to visually highlight divergence points for quick and efficient decision-making.
________________________________________
Input Parameters
• Source: Price source for RSI calculation (Default: hlc3).
• Signal Period: RSI calculation period (Default: 50).
• Lookback Range: Normalization period (Default: 200, Max: 5000).
• Trend Length: Smoothing period for normalized RSI (Default: 5).
• Band Width: Center line & bands calculation period (Default: 34).
• Divergence Range: Lookback period for divergence detection (Default: 5).
________________________________________
How to Use
1. Add the script to your trading chart.
2. Customize the settings to match your trading approach.
3. Watch for divergence labels to identify potential market moves:
o 🟢 Bullish Divergence: Possible upward reversal.
o 🟢 Hidden Bullish Divergence: Continuation of an uptrend.
o 🔴 Bearish Divergence: Possible downward reversal.
o 🟠 Hidden Bearish Divergence: Continuation of a downtrend.
________________________________________
Why Use This Indicator?
✅ Enhanced RSI Analysis: Normalization simplifies overbought/oversold conditions.
✅ Crystal-Clear Divergence Signals: Instantly spot key trend shifts.
✅ Fully Customizable: Adjust settings for your specific strategy.
✅ Improve Trade Accuracy: Gain an edge with precise divergence detection.
________________________________________
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Always conduct thorough research and backtesting before using it in live trading.
📜 License
This script is released under the Mozilla Public License 2.0.
Enjoy the Normalized RSI with Divergences indicator, and happy trading! 🚀📈
— Kerem Ertem
Waldo's RSI Color Trend Candles
TradingView Description for Waldo's RSI Color Trend Candles
Title: Waldo's RSI Color Trend Candles
Short Title: Waldo RSI CTC
Overview:
Waldo's RSI Color Trend Candles is a visually intuitive indicator designed to enhance your trading experience by color-coding candlesticks based on the integration of Relative Strength Index (RSI) momentum and moving average trend analysis. This innovative tool overlays directly on your price chart, providing a clear, color-based representation of market sentiment and trend direction.
What is it?
This indicator combines the power of RSI with the simplicity of moving averages to offer traders a unique way to visualize market conditions:
RSI Integration: The RSI is computed with customizable parameters, allowing traders to adjust how momentum is interpreted. The RSI values influence the primary color of the candles, indicating overbought or oversold market states.
Moving Averages: Utilizing two Simple Moving Averages (SMAs) with user-defined lengths, the indicator helps in identifying trend directions through their crossovers. The fast MA and slow MA can be toggled on/off for visual clarity.
Color Trend Candles: The 'Color Trend Candles' feature uses a dynamic color scheme to reflect different market conditions:
Purple for overbought conditions when RSI exceeds the set threshold (default 70).
Blue for oversold conditions when RSI falls below the set threshold (default 44).
Green indicates a bullish trend, confirmed by both price action and RSI being bullish (fast MA crossing above slow MA, with price above the slow MA).
Red signals a bearish trend, when both price and RSI are bearish (fast MA crossing below slow MA, with price below the slow MA).
Gray for neutral or mixed market sentiment, where signals are less clear or contradictory.
How to Use It:
Waldo's RSI Color Trend Candles is tailored for traders who appreciate visual cues in their trading strategy:
Trend and Momentum Insight: The color of each candle gives an immediate visual representation of both the trend (via MA crossovers) and momentum (via RSI). Green and red candles align with bullish or bearish trends, respectively, providing a quick reference for market direction.
Identifying Extreme Conditions: Purple and blue candles highlight potential reversal zones or areas where the market might be overstretched, offering opportunities for contrarian trades or to anticipate market corrections.
Customization: Users can adjust the RSI length, overbought/oversold levels, and the lengths of the moving averages to align with their trading style or the specific characteristics of the asset they're trading.
This customization ensures the indicator can be tailored to various market conditions.
Simplified Decision Making: Designed for traders who prefer a visual approach, this indicator simplifies the decision-making process by encoding complex market data into an easy-to-understand color system.
However, for a robust trading strategy, it's recommended to use it alongside other analytical tools.
Control Over Display: The option to show or hide moving averages and to enable or disable the color-coding of candles provides users with control over how information is presented, allowing for a cleaner chart or more detailed analysis as preferred.
Conclusion:
Waldo's RSI Color Trend Candles offers a fresh, visually appealing method to interpret market trends and momentum through the color of candlesticks. It's ideal for traders looking for a straightforward way to gauge market sentiment at a glance. While this indicator can significantly enhance your trading setup, remember to incorporate it within a broader strategy, using additional confirmation from other indicators or analysis methods to manage risk and validate trading decisions. Dive into the colorful world of trading with Waldo's RSI Color Trend Candles and let the market's mood guide your trades with clarity and ease.
Dynamic RSI Bollinger Bands with Waldo Cloud
TradingView Indicator Description: Dynamic RSI Bollinger Bands with Waldo Cloud
Title: Dynamic RSI Bollinger Bands with Waldo Cloud
Short Title: Dynamic RSI BB Waldo
Overview:
Introducing an experimental indicator, the Dynamic RSI Bollinger Bands with Waldo Cloud, designed for adventurous traders looking to explore new dimensions in technical analysis. This indicator overlays on your chart, providing a unique perspective by integrating the Relative Strength Index (RSI) with Bollinger Bands, creating a dynamic trading tool that adapts to market conditions through the lens of momentum and volatility.
What is it?
This innovative indicator combines the traditional Bollinger Bands with the RSI in a way that hasn't been commonly explored. Here's a breakdown:
RSI Integration: The RSI is calculated with customizable length settings, and its values are used not just for momentum analysis but as the basis for the Bollinger Bands. This means the position and width of the bands are directly influenced by the RSI, offering a visual representation of momentum within the context of price volatility.
Dynamic Bollinger Bands: Instead of using price directly, the Bollinger Bands are calculated using a scaled version of the RSI. This scaling is done to fit the RSI values into the price range, ensuring the bands are relevant to the actual price movement. The standard deviation for these bands is also scaled accordingly, providing a unique volatility measure that's momentum-driven.
Waldo Cloud: Named after a visual representation concept, the 'Waldo Cloud' refers to the colored area between the Bollinger Bands, which changes based on various conditions:
Purple when RSI is overbought.
Blue when RSI is oversold.
Green for bullish conditions, defined by the fast-moving average crossing above the slow one, RSI is bullish, and the price is above the slow MA.
Red for bearish conditions, when the fast MA crosses below the slow MA, the RSI is bearish, and the price is below the slow MA.
Gray for neutral market conditions.
Moving Averages: Two simple moving averages (Fast MA and Slow MA) are included, which can be toggled on or off, offering additional trend analysis through crossovers.
How to Use It:
Given its experimental nature, this indicator should be used with caution and in conjunction with other analysis methods:
Identifying Market Conditions: Use the color of the Waldo Cloud to gauge market sentiment. A green cloud might suggest a good time to consider long positions, while a red cloud could indicate potential shorting opportunities. Purple and blue clouds highlight extreme conditions that might precede reversals.
Volatility and Momentum: The dynamic nature of the Bollinger Bands based on RSI provides insight into how momentum is affecting price volatility. When the bands are wide, it might indicate high momentum and potential trend continuation or reversal, depending on the RSI's position relative to its overbought/oversold levels.
Trend Confirmation: The moving average crossovers can act as confirmation signals. For instance, a bullish crossover (fast MA over slow MA) within a green cloud might strengthen a buy signal, whereas a bearish crossover in a red cloud might reinforce a sell decision.
Customization: Adjust the RSI length, overbought/oversold levels, and moving average lengths to suit different trading styles or market conditions. Experiment with these settings to find what works best for your strategy.
Combining with Other Indicators: Since this is an experimental tool, it's advisable to use it alongside established indicators like traditional Bollinger Bands, MACD, or trend lines to validate signals.
Conclusion:
The Dynamic RSI Bollinger Bands with Waldo Cloud is an experimental venture into combining momentum with volatility visually and interactively. It's designed for traders who are open to exploring new methods of market analysis.
Remember, due to its experimental status, this indicator should be part of a broader trading strategy, and backtesting or paper trading is recommended before applying it in live trading scenarios. Keep an eye on how the market reacts to the signals provided by this indicator and always consider risk management practices.
Multi-Timeframe RSI Grid Strategy with ArrowsKey Features of the Strategy
Multi-Timeframe RSI Analysis:
The strategy calculates RSI values for three different timeframes:
The current chart's timeframe.
Two higher timeframes (configurable via higher_tf1 and higher_tf2 inputs).
It uses these RSI values to identify overbought (sell) and oversold (buy) conditions.
Grid Trading System:
The strategy uses a grid-based approach to scale into trades. It adds positions at predefined intervals (grid_space) based on the ATR (Average True Range) and a grid multiplication factor (grid_factor).
The grid system allows for pyramiding (adding to positions) up to a maximum number of grid levels (max_grid).
Daily Profit Target:
The strategy has a daily profit target (daily_target). Once the target is reached, it closes all open positions and stops trading for the day.
Drawdown Protection:
If the open drawdown exceeds 2% of the account equity, the strategy closes all positions to limit losses.
Reverse Signals:
If the RSI conditions reverse (e.g., from buy to sell or vice versa), the strategy closes all open positions and resets the grid.
Visualization:
The script plots buy and sell signals as arrows on the chart.
It also plots the RSI values for the current and higher timeframes, along with overbought and oversold levels.
How It Works
Inputs:
The user can configure parameters like RSI length, overbought/oversold levels, higher timeframes, grid spacing, lot size multiplier, maximum grid levels, daily profit target, and ATR length.
RSI Calculation:
The RSI is calculated for the current timeframe and the two higher timeframes using ta.rsi().
Grid System:
The grid system uses the ATR to determine the spacing between grid levels (grid_space).
When the price moves in the desired direction, the strategy adds positions at intervals of grid_space, increasing the lot size by a multiplier (lot_multiplier) for each new grid level.
Entry Conditions:
A buy signal is generated when the RSI is below the oversold level on all three timeframes.
A sell signal is generated when the RSI is above the overbought level on all three timeframes.
Position Management:
The strategy scales into positions using the grid system.
It closes all positions if the daily profit target is reached or if a reverse signal is detected.
Visualization:
Buy and sell signals are plotted as arrows on the chart.
RSI values for all timeframes are plotted, along with overbought and oversold levels.
Example Scenario
Suppose the current RSI is below 30 (oversold), and the RSI on the 60-minute and 240-minute charts is also below 30. This triggers a buy signal.
The strategy enters a long position with a base lot size.
If the price moves against the position by grid_space, the strategy adds another long position with a larger lot size (scaled by lot_multiplier).
This process continues until the maximum grid level (max_grid) is reached or the daily profit target is achieved.
Key Variables
grid_level: Tracks the current grid level (number of positions added).
last_entry_price: Tracks the price of the last entry.
base_size: The base lot size for the initial position.
daily_profit_target: The daily profit target in percentage terms.
target_reached: A flag to indicate whether the daily profit target has been achieved.
Potential Use Cases
This strategy is suitable for traders who want to combine RSI-based signals with a grid trading approach to capitalize on mean-reverting price movements.
It can be used in trending or ranging markets, depending on the RSI settings and grid parameters.
Limitations
The grid trading system can lead to significant drawdowns if the market moves strongly against the initial position.
The strategy relies heavily on RSI, which may produce false signals in strongly trending markets.
The daily profit target may limit potential gains in highly volatile markets.
Customization
You can adjust the input parameters (e.g., RSI length, overbought/oversold levels, grid spacing, lot multiplier) to suit your trading style and market conditions.
You can also modify the drawdown protection threshold or add additional filters (e.g., volume, moving averages) to improve the strategy's performance.
In summary, this script is a sophisticated trading strategy that combines RSI-based signals with a grid trading system to manage entries, exits, and position sizing. It includes features like daily profit targets, drawdown protection, and multi-timeframe analysis to enhance its robustnes
