Cardwell RSI Trade Navigator [MarkitTick]💡 An advanced, multi-dimensional technical overlay designed to translate hidden momentum shifts into actionable, visually structured chart setups.
By extracting the core principles of Andrew Cardwell's methodology—which applies moving averages directly to the Relative Strength Index (RSI) rather than price—this tool identifies underlying momentum trends before they fully manifest in price action.
✨ Originality and Utility
Standard oscillators force traders to divert their attention away from price action to interpret lower-panel squiggles, which can often lead to a disconnect in charting focus.
This script is highly original because it extracts the mathematical cross of RSI-based moving averages and projects them directly onto the main price chart as a comprehensive, fully visualized trade management ecosystem.
It does not just paint a simple signal arrow; it algorithmically constructs a complete risk-to-reward framework the exact moment a momentum cross is mathematically validated.
By integrating directional filters like the ADX and higher timeframe (HTF) consensus protocols, it effectively filters out low-probability market chop.
The primary utility lies in its ability to automate the visual calculation of entry parameters, construct stop losses based on real-time volatility, and project multiple take-profit milestones based on strict multiples, essentially acting as a dynamic charting assistant built entirely on objective mathematical rules.
🔬 Methodology and Concepts
The core computational engine of this indicator relies on the calculation of a standard 14-period Relative Strength Index (RSI).
Instead of looking for traditional overbought or oversold reversal levels, the script calculates two Relative Moving Averages (RMA) of the RSI itself—a Fast RMA (9-period) and a Slow RMA (45-period).
A bullish bias is generated when the Fast RMA crosses above the Slow RMA, indicating that short-term momentum is accelerating faster than the baseline trend velocity.
Conversely, a bearish bias occurs when the Fast RMA crosses below the Slow RMA, signaling immediate downside momentum acceleration.
To ensure these momentum signals are not triggered in stagnant or mean-reverting markets, the script integrates an Average Directional Index (ADX) filter.
The ADX must register a value above a user-defined threshold (default 20) to mathematically confirm that the market is currently in a trending phase capable of sustaining the RSI momentum push.
Furthermore, a Higher Timeframe (HTF) filter requests the RSI RMA cross status from a macro timeframe. Signals on the current charting timeframe are only validated if they align perfectly with the HTF bias, ensuring that all setups are traded strictly in the direction of the dominant market flow.
Once all conditions of a valid signal are met, the script utilizes the Average True Range (ATR) to calculate a dynamic, volatility-adjusted Stop Loss, and then projects exact Take Profit targets using standardized Risk:Reward multipliers.
🎨 Visual Guide
The script transforms the standard candlestick chart into a highly visual, logically color-coded trade environment.
Candle Coloring: Candlesticks are dynamically colored based on underlying momentum strength. A visual gradient shifts from a neutral gray to a bright green (bullish) or bright red (bearish) depending directly on the separation distance between the Fast and Slow RSI RMAs.
HTF Trend Cloud: An optional visual cloud is plotted both above and below the price action. It is colored teal for HTF bullishness and crimson for HTF bearishness, offering traders macro context at a single glance without switching timeframes.
Trade Setup Lines: Upon a validated signal, dashed white horizontal lines appear on the chart, representing the exact calculated price levels for the Stop Loss, Entry point, Take Profit 1 (TP1), Take Profit 2 (TP2), and Take Profit 3 (TP3).
Risk Zones: The chart background between the entry price and the stop loss is shaded in a semi-transparent dark red. The zones between the entry and the consecutive take-profit levels are shaded in progressive green tones to visually represent risk versus reward areas.
Price Labels: Distinctive text labels featuring geometric icons are plotted dynamically at the end of the trade lines, displaying the exact numeric price coordinates for the Stop Loss, Entry, and all TPs.
Signal Strength Score Label: is a calculated metric designed to quantify the momentum and quality of the trade setup at the exact moment the signal is triggered. This value provides a "snapshot" of the signal's conviction level the moment it appears, whereas dashboard metrics track ongoing market conditions.
Dashboard Table: Located permanently in the top right corner, this dark-themed data table displays real-time metrics including the ticker symbol, current trend direction, current ATR value, a visual ADX strength bar, an overall signal strength percentage, the overarching HTF bias, and a counter tracking the number of bars since the last valid signal.
📖 How to Use
Traders can utilize this framework to efficiently identify and manage momentum-based trend continuation setups across any asset.
First, wait for a clear momentum shift, visually indicated by a change in the candlestick gradient color and the sudden appearance of the geometric trade setup zones.
Before considering the setup valid, reference the top-right dashboard table. Confirm that the ADX bar is registering sufficient trend strength and that the HTF Bias aligns with the direction of the signal.
Once the dashed white lines and colored risk zones appear, use the Entry line as the suggested area of execution.
The Stop Loss line provides a definitive, volatility-based invalidation point that should be respected.
As price moves in favor of the active setup, closely monitor the progression through the green reward zones.
If the "Breakeven on TP1" feature is enabled in the settings, observe the Stop Loss label automatically transitioning to a Breakeven line once the first target is struck, theoretically securing the position.
Finally, use the dynamic Risk:Reward live label attached to the current price action to actively monitor the floating R-multiple of the current signal.
⚙️ Inputs and Settings
RSI Length & RMA Lengths: Controls the core sensitivity of the underlying momentum engine. Lower values create more frequent signals, while higher values smooth the data for longer-term trend captures.
ATR Length & SL Multiplier: Defines the strictness of the stop loss protocol. A higher multiplier increases the breathing room for the trade but mathematically requires a larger price move to achieve a 1R target.
TP Risk:Reward Multipliers: Customizes the exact distance of the three take-profit targets relative to the initial ATR-based risk unit.
HTF Timeframe: Sets the macro timeframe used for the overarching trend consensus filter.
Choppiness / ADX Filter: Toggles the strict requirement for a minimum ADX threshold to validate signals, preventing entries in tight trading ranges.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Momentum Derivatives and Relative Strength
The foundational architecture of this script rests upon J. Welles Wilder Jr.'s Relative Strength Index (RSI), a momentum oscillator that measures the speed and change of price movements.
The mathematical formula bounds the output between absolute values of 0 and 100.
By taking a derivative of this oscillator—specifically applying Relative Moving Averages (RMAs, which are mathematically equivalent to Wilder's Smoothing method or an Exponential Moving Average with alpha = 1/length)—the script effectively isolates the velocity of the momentum itself.
The intersection of a fast-period RMA and a slow-period RMA of the RSI mathematically represents a point of momentum inflection, where short-term acceleration deviates significantly from the longer-term mean.
● Volatility-Normalized Risk Management
The utilization of the Average True Range (ATR) establishes a statistically sound, non-static risk framework.
ATR quantifies the historical volatility of an asset by calculating the greatest of the current high minus the current low, the absolute value of the current high minus the previous close, and the absolute value of the current low minus the previous close.
By multiplying the ATR by a specific scalar value, the script dynamically calculates a stop-loss distance that is statistically placed outside the normal noise distribution of the current market environment.
This approach is scientifically superior to static percentage-based stop losses, as it continuously adapts to the heteroskedasticity (changing variance) inherent in complex financial time series.
● Trend Directionality and Vector Strength
The Average Directional Index (ADX) component provides a purely quantitative measure of trend strength that is entirely independent of direction.
ADX is derived from the smoothed moving averages of the +DI and -DI, which measure the positive and negative directional movement vectors.
By requiring the ADX to breach a specific numerical threshold, the script mathematically filters out random walk (stochastic) market phases.
This ensures that the structural momentum setups only trigger when they occur within a statistically significant directional drift, massively increasing the probability of trend continuation.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
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 PulseWire 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.
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RSI BB StdDev SignalOverview
The RSI BB StdDev Signal Indicator is a powerful tool designed to enhance your trading strategy by combining the Relative Strength Index (RSI) with Bollinger Bands (BB). This unique combination allows traders to identify potential buy and sell signals more accurately by leveraging the strengths of both indicators. The RSI helps in identifying overbought and oversold conditions, while the Bollinger Bands provide a dynamic range to assess volatility and potential price reversals.
Key Features
— RSI Calculation: The indicator calculates the RSI based on user-defined parameters, allowing for customization to fit different trading styles.
— Bollinger Bands Integration: The RSI values are smoothed using a moving average, and Bollinger Bands are applied to this smoothed RSI to generate buy and sell signals.
— Divergence Detection: The indicator includes an optional feature to detect and alert on bullish and bearish divergences between the RSI and price action.
— Customizable Alerts: Users can set up alerts for buy and sell signals, as well as for divergences, ensuring they never miss a trading opportunity.
— Visual Aids: The indicator plots the RSI, Bollinger Bands, and signals on the chart, making it easy to visualize and interpret the data.
How It Works
1. RSI Calculation:
— The RSI is calculated using the change in the source input (default is close price) over a specified period.
— The RSI values are then plotted on the chart with customizable overbought and oversold levels.
2. Smoothing and Bollinger Bands:
— The RSI values are smoothed using a moving average (SMA, EMA, SMMA, WMA, VWMA) selected by the user.
— Bollinger Bands are applied to the smoothed RSI to create dynamic upper and lower bands.
3. Signal Generation:
—Buy signals are generated when the RSI crosses above the lower Bollinger Band.
—Sell signals are generated when the RSI crosses below the upper Bollinger Band.
—These signals are plotted on both the RSI pane and the main price chart for easy reference.
4. Divergence Detection:
— The indicator can detect and alert on regular bullish and bearish divergences between the RSI and price action.
— Bullish divergences occur when the price makes a lower low, but the RSI makes a higher low.
— Bearish divergences occur when the price makes a higher high, but the RSI makes a lower high.
Usage
1. Setting Up:
— Add the indicator to your PulseWire chart.
— Customize the RSI length, source, and other parameters in the settings panel.
— Enable or disable the divergence detection based on your trading strategy.
2. Interpreting Signals:
— Use the buy and sell signals generated by the RSI crossing the Bollinger Bands as potential entry and exit points.
— Pay attention to divergences for additional confirmation of trend reversals.
3. Alerts:
— Set up alerts for buy and sell signals to receive notifications in real-time.
— Enable divergence alerts to be notified of potential trend reversals.
Conclusion
The RSI BB StdDev Signal Indicator is a comprehensive tool that combines the strengths of the RSI and Bollinger Bands to provide traders with more accurate and reliable signals. Whether you are a beginner or an experienced trader, this indicator can enhance your trading strategy by offering clear visual cues and customizable alerts.
Note
This indicator is provided with open-source code, allowing users to understand its logic and customize it further if needed. The detailed description and customizable settings ensure that traders of all levels can benefit from its unique features. Indicator
Multiple RSITitle: MultiRSI: A Versatile Multi-Timeframe RSI Indicator
Short Description:
A powerful RSI-based indicator that incorporates three RSI lengths (Fast, Medium, and Slow) to help traders analyze trends, momentum, and potential reversals with clear visual signals.
Full Description:
Overview:
The MultiRSI script provides traders with a dynamic tool to assess market conditions across multiple RSI timeframes. It calculates Fast, Medium, and Slow RSI values, assigns meaningful colors based on trend analysis, and highlights key crossover points for actionable insights.
Key Features:
Triple RSI Display:
Fast RSI (default: 8): Ideal for capturing short-term momentum.
Medium RSI (default: 12): Provides a balanced perspective.
Slow RSI (default: 16): Helps identify longer-term trends.
Trend Analysis:
Color-coded RSI lines:
Green, blue, and aqua for uptrends.
Yellow, orange, and red for potential downtrends.
Visual differentiation for easy interpretation.
Crossover Signals:
Upward Cross (triangle up): Indicates potential bullish momentum.
Downward Cross (triangle down): Suggests possible bearish momentum.
Marked directly on the chart for clarity.
Customizable Inputs:
Adjust RSI lengths to suit your trading strategy.
Grouped input settings for a seamless configuration experience.
Usage Scenarios:
Identify trend strength and reversals in different timeframes.
Spot key momentum shifts with crossover signals.
Combine with other indicators for a comprehensive trading strategy.
How It Works:
The script compares the Fast RSI against the Medium RSI and the Medium RSI against the Slow RSI to determine short-, medium-, and long-term trends. Crossovers between Medium and Slow RSI values signal potential momentum shifts.
Visualization:
Clear, color-coded plots for the three RSI levels.
Highlighted crossovers for quick decision-making.
License:
This script is open-source under the Mozilla Public License 2.0. Feel free to use, modify, and share! Indicator
Scalping Strategy (5min)This indicator is designed for scalping strategies on a 5-minute timeframe. It generates signals based on two RSI crossovers and incorporates moving averages to identify trends. Additionally, a Bollinger Band is included to eliminate the need for an additional Bollinger Band on the chart.
Please note that this indicator does not guarantee 100% accurate signals and may produce false signals. It is recommended to use this indicator in conjunction with other indicators such as Stochastic, MACD, SuperTrend, or any other suitable indicators to enhance the accuracy of trading decisions.
1) Signal Generation: The indicator generates buy and sell signals based on two RSI crossovers. A buy signal is generated when the fast RSI crosses above the slow RSI, indicating potential bullish momentum. Conversely, a sell signal is generated when the fast RSI crosses below the slow RSI, suggesting potential bearish momentum.
2) To adjust the indicator to your specific chart and trading preferences, you have the flexibility to modify the RSI and moving average (MA) values. By changing the RSI values (slow RSI length and fast RSI length), you can fine-tune the sensitivity of the RSI crossovers to suit different timeframes and market conditions. Similarly, adjusting the MA values (slow MA period and fast MA period) allows you to adapt the indicator to the desired trend identification and short-term trend confirmation.
3) Pay attention to trades that are confirmed by the short-term moving average (MA) aligning with the desired direction. For buy signals, ensure that the short MA is tending upward, indicating a potential uptrend. For sell signals, confirm that the short MA is trending downward, suggesting a potential downtrend.
4) Moving Averages: The indicator uses a 200-period moving average (MA) to identify the overall trend and a short-term MA for additional confirmation.
5) Bollinger Band: The included Bollinger Band is not directly used in the indicator's calculations. However, it is provided for convenience so that users don't need to add another Bollinger Band to their chart separately.
6) Exercise caution when the short MA is below the 200-period MA but showing signs of attempting an upward move. These situations may indicate a potential reversal or consolidation, and it is advisable to avoid taking trades solely based on the 200-period MA crossover in such cases.
Remember that these guidelines are intended to provide additional insights and should be used in combination with your trading judgment and analysis.
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