RXTrend█ OVERVIEW
The "RXTrend" indicator is a technical analysis tool based on a unique approach to trend identification using RSI values from overbought and oversold zones. Designed for traders seeking a precise tool to identify key market levels and trend direction, the indicator offers flexible settings, dynamic trend lines, candlestick coloring, and buy/sell signals, supported by alerts for key events.
█ CONCEPTS
"RXTrend" leverages the Relative Strength Index (RSI) to identify overbought and oversold zones, which are often significant areas on the chart due to potentially higher volume, increased volatility, or acting as pivot points. To address this, I created an indicator that uses RSI values from these zones, mapping them to price levels to determine the trend. Additionally, for a clearer market picture, boxes are added to highlight overbought and oversold zones on the chart, and candlestick coloring is based on the direction of the RSI moving average. This provides further confirmation of the trend direction and identifies potential correction or reversal points. The indicator is universal and works across all markets (stocks, forex, cryptocurrencies) and timeframes.
█ FEATURES
- RSI Calculation: Calculates RSI based on the closing price over a specified period, with a default length of 14.
- Trend Line: A smoothed trend line based on mapping RSI values from overbought (for downtrends) or oversold (for uptrends) zones to price levels. RSI values are transformed into prices using the price range from a selected period (default: 50 bars) and then smoothed to form the trend line. The line changes color based on the trend direction (blue for uptrend, orange for downtrend).
- Candlestick Coloring: Option to color candles based on the direction of the RSI moving average (RSI MA). Candle colors align with the trend and box colors (blue for uptrend, orange for downtrend, gray for neutral).
- Overbought and Oversold Zones: Identifies overbought (RSI > OB) and oversold (RSI < OS) levels, drawing dynamic boxes on the price chart to reflect these zones. Boxes update in real-time, adjusting to new highs and lows.
- Buy and Sell Signals: Generates buy signals (blue "Buy" labels) when the price crosses above the smoothed oversold line and sell signals (orange "Sell" labels) when the price crosses below the smoothed overbought line.
- Shadow Fill: Option to fill the space between the trend line and price (HL2) with adjustable transparency, aiding visual trend assessment.
Alerts: Built-in alerts for:
- Buy and sell signals.
- Appearance of new overbought/oversold boxes.
- RSI MA direction change (candle color change to uptrend or downtrend).
Customization: Allows adjustment of RSI length, overbought/oversold levels, smoothing period, colors, box and label transparency, and the option to keep boxes after RSI returns to normal.
█ HOW TO USE
Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configure Settings:
RSI Settings:
- RSI Length: Sets the RSI calculation period (default: 14).
- Overbought Level (OB): Sets the overbought threshold (default: 70).
- Oversold Level (OS): Sets the oversold threshold (default: 30).
Price Settings:
- Price Range Lookback: Defines the period for calculating the price range (default: 50).
Candle Coloring:
- Color Candles: Enables/disables candle coloring based on RSI MA direction.
- RSI MA Length: Sets the RSI moving average period (default: 21).
Smoothing Settings:
- Smoothing Length: Degree of trend line smoothing (default: 5).
Colors:
- Trend Colors: Customize colors for uptrend (default: blue), downtrend (default: orange), and shadow fill.
Box Settings:
- Box Transparency: Adjusts box transparency (0-100).
- Box Colors: Sets colors for overbought (orange) and oversold (blue) zones.
- Keep Boxes: Determines if boxes remain after RSI returns to normal.
Signals:
- Show Buy/Sell Signals: Enables/disables signal label display.
- Label Transparency: Adjusts signal label transparency.
Interpreting Signals:
- Trend Line: Shows market direction (blue for uptrend, orange for downtrend).
- Buy Signals: Blue "Buy" label appears when the price crosses above the smoothed oversold line, signaling a potential uptrend.
- Sell Signals: Orange "Sell" label appears when the price crosses below the smoothed overbought line, signaling a potential downtrend.
- Overbought/Oversold Boxes: Orange boxes indicate overbought zones (RSI > OB), blue boxes indicate oversold zones (RSI < OS). Boxes expand dynamically in real-time.
- Candlestick Coloring: Candle colors align with the trend and box colors, reflecting RSI MA direction.
- Alerts: Set up alerts in TradingView for buy/sell signals, new overbought/oversold boxes, or RSI MA direction changes.
- Combining with Other Tools: Use the indicator alongside support/resistance levels, Fair Value Gaps (FVG), or other indicators to confirm signals.
█ APPLICATIONS
The "RXTrend" indicator is designed to identify key market zones and trend direction, making it useful for trend-following and reversal strategies. It enables:
- Trend Confirmation: Candlestick coloring and the trend line help assess the dominant market direction, supporting entry or exit decisions. The trend line can act as a significant support/resistance level, and a price bounce from it may provide a good entry point, especially when confirmed by Fibonacci levels. Additionally, the appearance of overbought/oversold boxes combined with a change in candle color (RSI MA direction) may indicate an impending correction. This allows analysis of potential market overextension and correction endings, enabling multiple entries within a trend.
- Overbought and Oversold Zone Identification: Boxes highlight potential reversal or correction points, especially when combined with support/resistance levels or FVG.
- Signal-Based Strategies: Buy and sell signals can be used as entry points in a trend or as warnings of potential reversals.
█ NOTES
- The indicator is universal and works across all markets and timeframes due to its RSI-based and price-mapping logic.
- Adjust settings (e.g., RSI length, OB/OS levels, smoothing) to suit your trading style and timeframe.
- Use in conjunction with other technical analysis tools to enhance signal accuracy.
Search in scripts for "Relative Strength Index (RSI)"
Enhanced Neowave Wave 1 Finder with ZigZagThis script is an advanced technical analysis indicator for the TradingView platform, written in Pine Script version 5. Its primary goal is to identify potential Elliott Wave "Wave 1" patterns, enhanced with principles from Neowave theory and a custom ZigZag indicator for more accurate pivot detection. The script is designed to be overlaid on the main price chart.
Core Functionality: Blending ZigZag and Neowave
The indicator's methodology is a two-part process. First, it identifies significant price swings using a robust ZigZag indicator. Then, it analyzes these swings based on a set of rules derived from Neowave and classic technical analysis to validate them as potential Wave 1 patterns.
Part 1: ZigZag Integration
The first major component is a comprehensive ZigZag indicator that forms the foundation for all subsequent analysis.
Pivot Detection: The pivots() function is the engine of the ZigZag. It scans the historical price data for significant high and low points (pivots) over a user-defined Length.
Segment Drawing: Once pivots are identified, the script draws lines connecting them, creating the classic ZigZag pattern on the chart.
Extended Direction & Ratios: This is an enhanced feature. The script doesn't just identify highs and lows; it categorizes them as:
Higher High (HH) or Lower High (LH)
Lower Low (LL) or Higher Low (HL)
This classification is crucial for understanding the market structure. It also calculates the price ratio of the most recent ZigZag leg relative to the previous one, which is used later for pattern validation.
Dynamic Updates: The ZigZag is not static. On each new bar, it can update its most recent pivot point if a new, more extreme price (a higher high or a lower low) is printed before the direction officially changes. This ensures the ZigZag is always reflecting the most current and significant price action.
Part 2: Neowave Wave 1 Finder
With the market structure defined by the ZigZag, the second part of the script applies a rigorous set of rules to identify potential Wave 1 patterns. A Wave 1 is the initial move of a new trend in Elliott Wave theory.
Key Validation Criteria
For a price move between two ZigZag pivots to be considered a valid Wave 1, it must pass a series of checks:
Significance: The move must have a minimum percentage change (Minimum Wave Length) and last for a minimum number of bars, filtering out insignificant noise.
Volume Confirmation: A genuine impulse wave is typically supported by increasing volume. The script checks if the volume during the potential Wave 1 is significantly higher than the recent average (Volume Increase Threshold).
Momentum Alignment: The direction of the wave must be confirmed by momentum indicators.
For a bullish (upward) Wave 1, the Relative Strength Index (RSI) must be in a bullish regime (above 50) and the MACD line must be above its signal line.
For a bearish (downward) Wave 1, the RSI must be below 50 and the MACD line must be below its signal line.
Structural Analysis (Impulse vs. Diagonal): The script attempts to differentiate between two types of Wave 1:
Impulse Wave: A strong, clean, and direct move.
Diagonal Wave: A more complex, overlapping, and often wedge-shaped pattern. This is identified by analyzing the time and price complexity of the move, along with the ZigZag leg ratios.
Wave 2 Retracement Check: A critical Neowave rule is that a valid Wave 1 must be followed by a valid Wave 2 retracement. The script looks at the next ZigZag leg to ensure it doesn't retrace more than 100% of the potential Wave 1. It also uses the ZigZag ratios to confirm the retracement falls within typical Fibonacci levels (e.g., 38.2% to 78.6%).
Display and User Interface
The script provides a rich visual experience to aid the trader in their analysis.
Wave Labels and Boxes: When a valid Wave 1 is detected, it is highlighted with a colored line (green for bullish, red for bearish) and a shaded background box. A label clearly marks it as "Wave 1 IMPULSE" or "Wave 1 DIAGONAL".
Fibonacci Retracement Levels: Upon detection of a Wave 1, the script automatically draws key Fibonacci retracement levels (38.2%, 50%, 61.8%, 78.6%). These levels are potential targets for the end of the subsequent Wave 2, offering potential entry points for a Wave 3 trade.
Information Labels: Additional labels provide at-a-glance confirmation of the conditions, showing whether volume and momentum criteria were met.
Customizable Inputs: Users have extensive control over the indicator's parameters, including the ZigZag length, volume thresholds, RSI levels, and the colors of all visual elements.
Alerts: The indicator can be configured to generate an alert whenever a new bullish or bearish Wave 1 pattern is confirmed, allowing traders to be notified of potential opportunities in real-time.
RSI For LoopTitle: RSI For Loop
SurgeQuant’s RSI with Threshold Colors and Bar Coloring indicator is a sophisticated tool designed to identify overbought and oversold conditions using a customizable Relative Strength Index (RSI). By averaging RSI over a user-defined lookback period, this indicator provides clear visual signals for bullish and bearish market conditions. The RSI line and price bars are dynamically colored to highlight momentum, making it easier for traders to spot potential trading opportunities.
How It Works
RSI Calculation:
Computes RSI based on a user-selected price source (Close, High, Low, or Open) with a configurable length (default: 5). Optional moving average smoothing refines the RSI signal for smoother analysis.
Lookback Averaging:
Averages the RSI over a user-defined lookback period (default: 5) to generate a stable momentum indicator, reducing noise and enhancing signal reliability.
Threshold-Based Signals:
Long Signal: Triggered when the averaged RSI exceeds the upper threshold (default: 52), indicating overbought conditions.
Short Signal: Triggered when the averaged RSI falls below the lower threshold (default: 48), indicating oversold conditions.
Visual Representation
The indicator provides a clear and customizable visual interface: Green RSI Line and Bars: Indicate overbought conditions when the averaged RSI surpasses the upper threshold, signaling potential long opportunities.
Red RSI Line and Bars: Indicate oversold conditions when the averaged RSI drops below the lower threshold, signaling potential short opportunities.
Neutral Gray RSI Line: Represents RSI values between thresholds for neutral market conditions.
Threshold Lines: Dashed gray lines mark the upper and lower thresholds on the RSI panel for easy reference.
Customization & Parameters
The RSI with Threshold Colors and Bar Coloring indicator offers flexible parameters to suit
various trading styles: Source: Select the input price (default: Close; options: Close, High, Low, Open).
RSI Length: Adjust the RSI calculation period (default: 5).
Smoothing: Enable/disable moving average smoothing (default: enabled) and set the smoothing length (default: 10).
Moving Average Type: Choose from multiple types (SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HMA, LSMA, ALMA; default: ALMA).
ALMA Sigma: Configure the ALMA smoothing parameter (default: 5).
Lookback Period: Set the period for averaging RSI (default: 5).
Thresholds: Customize the upper (default: 52) and lower (default: 48) thresholds for signal generation.
Color Settings: Transparent green and red colors (70% transparency) for bullish and bearish signals, with gray for neutral states.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies: Momentum Trading: Highlights strong overbought or oversold conditions for potential entry or exit points.
Trend Confirmation: Use bar coloring to confirm RSI-based signals with price action on the main chart.
Reversal Detection: Identify potential reversals when RSI crosses the customizable thresholds.
Scalping and Swing Trading: Adjust parameters (e.g., RSI length, lookback) to suit short-term or longer-term strategies.
Final Note
SurgeQuant’s RSI with Threshold Colors and Bar Coloring indicator is a powerful tool for traders seeking to leverage RSI for momentum and reversal opportunities. Its combination of lookback-averaged RSI, dynamic threshold signals, and synchronized RSI and bar coloring offers a robust framework for informed trading decisions. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results.
Uptrick: Fusion Trend Reversion SystemOverview
The Uptrick: Fusion Trend Reversion System is a multi-layered indicator designed to identify potential price reversals during intraday movement while keeping traders informed of the dominant short-term trend. It blends a composite fair value model with deviation logic and a refined momentum filter using the Relative Strength Index (RSI). This tool was created with scalpers and short-term traders in mind and is especially effective on lower timeframes such as 1-minute, 5-minute, and 15-minute charts where price dislocations and quick momentum shifts are frequent.
Introduction
This indicator is built around the fusion of two classic concepts in technical trading: identifying trend direction and spotting potential reversion points. These are often handled separately, but this system merges them into one process. It starts by computing a fair value price using five moving averages, each with its own mathematical structure and strengths. These include the exponential moving average (EMA), which gives more weight to recent data; the simple moving average (SMA), which gives equal weight to all periods; the weighted moving average (WMA), which progressively increases weight with recency; the Arnaud Legoux moving average (ALMA), known for smoothing without lag; and the volume-weighted average price (VWAP), which factors in volume at each price level.
All five are averaged into a single value — the raw fusion line. This fusion acts as a dynamically balanced centerline that adapts to price conditions with both smoothing and responsiveness. Two additional exponential moving averages are applied to the raw fusion line. One is slower, giving a stable trend reference, and the other is faster, used to define momentum and cloud behavior. These two lines — the fusion slow and fusion fast — form the backbone of trend and signal logic.
Purpose
This system is meant for traders who want to trade reversals without losing sight of the underlying directional bias. Many reversal indicators fail because they act too early or signal too frequently in choppy markets. This script filters out noise through two conditions: price deviation and RSI confirmation. Reversion trades are considered only when the price moves a significant distance from fair value and RSI suggests a legitimate shift in momentum. That filtering process gives the trader a cleaner, higher-quality signal and reduces false entries.
The indicator also visually supports the trader through colored bars, up/down labels, and a filled cloud between the fast and slow fusion lines. These features make the market context immediately visible: whether the trend is up or down, whether a reversal just occurred, and whether price is currently in a high-risk reversion zone.
Originality and Uniqueness
What makes this script different from most reversal systems is the way it combines layers of logic — not just to detect signals, but to qualify and structure them. Rather than relying on a single MA or a raw RSI level, it uses a five-MA fusion to create a baseline fair value that incorporates speed, stability, and volume-awareness.
On top of that, the system introduces a dual-smoothing mechanism. It doesn’t just smooth price once — it creates two layers: one to follow the general trend and another to track faster deviations. This structure lets the script distinguish between continuation moves and possible turning points more effectively than a single-line or single-metric system.
It also uses RSI in a more refined way. Instead of just checking if RSI is overbought or oversold, the script smooths RSI and requires directional confirmation. Beyond that, it includes signal memory. Once a signal is generated, a new one will not appear unless the RSI becomes even more extreme and curls back again. This memory-based gating reduces signal clutter and prevents repetition, a rare feature in similar scripts.
Why these indicators were merged
Each moving average in the fusion serves a specific role. EMA reacts quickly to recent price changes and is often favored in fast-trading strategies. SMA acts as a long-term filter and smooths erratic behavior. WMA blends responsiveness with smoothing in a more balanced way. ALMA focuses on minimizing lag without losing detail, which is helpful in fast markets. VWAP anchors price to real trade volume, giving a sense of where actual positioning is happening.
By combining all five, the script creates a fair value model that doesn’t lean too heavily on one logic type. This fusion is then smoothed into two separate EMAs: one slower (trend layer), one faster (signal layer). The difference between these forms the basis of the trend cloud, which can be toggled on or off visually.
RSI is then used to confirm whether price is reversing with enough force to warrant a trade. The RSI is calculated over a 14-period window and smoothed with a 7-period EMA. The reason for smoothing RSI is to cut down on noise and avoid reacting to short, insignificant spikes. A signal is only considered if price is stretched away from the trend line and the smoothed RSI is in a reversal state — below 30 and rising for bullish setups, above 70 and falling for bearish ones.
Calculations
The script follows this structure:
Calculate EMA, SMA, WMA, ALMA, and VWAP using the same base length
Average the five values to form the raw fusion line
Smooth the raw fusion line with an EMA using sens1 to create the fusion slow line
Smooth the raw fusion line with another EMA using sens2 to create the fusion fast line
If fusion slow is rising and price is above it, trend is bullish
If fusion slow is falling and price is below it, trend is bearish
Calculate RSI over 14 periods
Smooth RSI using a 7-period EMA
Determine deviation as the absolute difference between current price and fusion slow
A raw signal is flagged if deviation exceeds the threshold
A raw signal is flagged if RSI EMA is under 30 and rising (bullish setup)
A raw signal is flagged if RSI EMA is over 70 and falling (bearish setup)
A final signal is confirmed for a bullish setup if RSI EMA is lower than the last bullish signal’s RSI
A final signal is confirmed for a bearish setup if RSI EMA is higher than the last bearish signal’s RSI
Reset the bullish RSI memory if RSI EMA rises above 30
Reset the bearish RSI memory if RSI EMA falls below 70
Store last signal direction and use it for optional bar coloring
Draw the trend cloud between fusion fast and fusion slow using fill()
Show signal labels only if showSignals is enabled
Bar and candle colors reflect either trend slope or last signal direction depending on mode selected
How it works
Once the script is loaded, it builds a fusion line by averaging five different types of moving averages. That line is smoothed twice into a fast and slow version. These two fusion lines form the structure for identifying trend direction and signal areas.
Trend bias is defined by the slope of the slow line. If the slow line is rising and price is above it, the market is considered bullish. If the slow line is falling and price is below it, it’s considered bearish.
Meanwhile, the script monitors how far price has moved from that slow line. If price is stretched beyond a certain distance (set by the threshold), and RSI confirms that momentum is reversing, a raw reversion signal is created. But the script only allows that signal to show if RSI has moved further into oversold or overbought territory than it did at the last signal. This blocks repetitive, weak entries. The memory is cleared only if RSI exits the zone — above 30 for bullish, below 70 for bearish.
Once a signal is accepted, a label is drawn. If the signal toggle is off, no label will be shown regardless of conditions. Bar colors are controlled separately — you can color them based on trend slope or last signal, depending on your selected mode.
Inputs
You can adjust the following settings:
MA Length: Sets the period for all moving averages used in the fusion.
Show Reversion Signals: Turns on the plotting of “Up” and “Down” labels when a reversal is confirmed.
Bar Coloring: Enables or disables colored bars based on trend or signal direction.
Show Trend Cloud: Fills the space between the fusion fast and slow lines to reflect trend bias.
Bar Color Mode: Lets you choose whether bars follow trend logic or last signal direction.
Sens 1: Smoothing speed for the slow fusion line — higher values = slower trend.
Sens 2: Smoothing speed for the fast line — lower values = faster signal response.
Deviation Threshold: Minimum distance price must move from fair value to trigger a signal check.
Features
This indicator offers:
A composite fair value model using five moving average types.
Dual smoothing system with user-defined sensitivity.
Slope-based trend definition tied to price position.
Deviation-triggered signal logic filtered by RSI reversal.
RSI memory system that blocks repetitive signals and resets only when RSI exits overbought or oversold zones.
Real-time tracking of the last signal’s direction for optional bar coloring.
Up/Down labels at signal points, visible only when enabled.
Optional trend cloud between fusion layers, visualizing current market bias.
Full user control over smoothing, threshold, color modes, and visibility.
Conclusion
The Fusion Trend-Reversion System is a tool for short-term traders looking to fade price extremes without ignoring trend bias. It calculates fair value using five diverse moving averages, smooths this into two dynamic layers, and applies strict reversal logic based on RSI deviation and momentum strength. Signals are triggered only when price is stretched and momentum confirms it with increasingly strong behavior. This combination makes the tool suitable for scalping, intraday entries, and fast market environments where precision matters.
Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice. All trading involves risk, and no tool can predict market behavior with certainty. Use proper risk management and do your own research before making trading decisions.
Price Lag Factor (PLF)📊 Price Lag Factor (PLF) for Crypto Traders: A Comprehensive Breakdown
The Price Lag Factor (PLF) is a momentum indicator designed to identify overextended price movements and gauge market momentum. It is particularly optimized for the crypto market, which is known for its high volatility and rapid trend shifts.
🔎 What is the Price Lag Factor (PLF)?
The PLF measures the difference between long-term and short-term price momentum and scales it dynamically based on recent volatility. This helps traders identify when the market might be overbought or oversold while filtering out noise.
The formula used in the PLF calculation is:
PLF = (Z-Long - Z-Short) / Stdev(PLF)
Where:
Z-long: Z-score of the long-term moving average (50-period by default).
Z-short: Z-score of the short-term moving average (14-period by default).
Stdev(PLF): Standard deviation of the PLF over a longer period (50-period by default).
🧠 How to Interpret the PLF:
1. Trend Direction:
Positive PLF (Green Bars): Indicates bullish momentum. The long-term trend is up, and short-term movements are confirming it.
Negative PLF (Red Bars): Indicates bearish momentum. The long-term trend is down, and short-term movements are consistent with it.
2. Momentum Strength:
PLF near Zero (±0.5): Low momentum; trend direction is not strong.
PLF between ±1 and ±2: Moderate momentum, indicating that the market is moving with strength but not in an overextended state.
PLF beyond ±2: High momentum (overbought/oversold), indicating potential trend exhaustion and a possible reversal.
📈 Trading Strategies:
1. Trend Following:
Bullish Signal:
Enter long when PLF crosses above 0 and remains green.
Confirm with other indicators like RSI or MACD to reduce false signals.
Bearish Signal:
Enter short when PLF crosses below 0 and remains red.
Use trend confirmation (e.g., moving average crossover) for better accuracy.
2. Reversal Trading:
Overbought Signal:
If PLF rises above +2, look for signs of bearish divergence or a reversal pattern to consider a short entry.
Oversold Signal:
If PLF falls below -2, watch for bullish divergence or a support bounce to consider a long entry.
3. Momentum Divergence:
Bullish Divergence:
Price makes a lower low while PLF makes a higher low.
Indicates weakening bearish momentum and a potential bullish reversal.
Bearish Divergence:
Price makes a higher high while PLF makes a lower high.
Signals weakening bullish momentum and a potential bearish reversal.
💡 Best Practices:
Combine with Volume:
Volume spikes during high PLF readings can confirm trend continuation.
Low volume during PLF extremes may hint at false breakouts.
Watch for Extreme Levels:
PLF beyond ±2 suggests overextended price action. Use caution when entering new positions.
Confirm with Other Indicators:
Use with Relative Strength Index (RSI) or Bollinger Bands to get a better sense of overbought/oversold conditions.
Overlay with a moving average to gauge trend consistency.
🚀 Why the PLF Works for Crypto:
Crypto markets are highly volatile and prone to rapid trend changes. The PLF's adaptive scaling ensures it remains relevant regardless of market conditions.
It highlights momentum shifts more accurately than static indicators because it accounts for changing volatility in its calculation.
🚨 Disclaimer for Traders Using the Price Lag Factor (PLF) Indicator:
The Price Lag Factor (PLF) indicator is designed as a technical analysis tool to gauge momentum and identify potential overbought or oversold conditions. However, it should not be relied upon as a sole decision-making factor for trading or investing.
Important Points to Consider:
Market Risk: Trading cryptocurrencies and other financial assets involves significant risk. The PLF may not accurately predict future price movements, especially during unexpected market events.
Indicator Limitations: No technical indicator, including the PLF, is infallible. False signals can occur, particularly in low-volume or highly volatile conditions.
Supplementary Analysis: Always combine PLF insights with other technical indicators, fundamental analysis, and risk management strategies to make informed decisions.
Personal Judgment: Traders should use their own discretion when interpreting PLF signals and never trade based solely on this indicator.
No Guarantees: The PLF is designed for educational and informational purposes only. Past performance is not indicative of future results.
Always perform thorough research and consider consulting with a professional financial advisor before making any trading decisions.
RSI Failure Swing Pattern (with Alerts & Targets)RSI Failure Swing Pattern Indicator – Detailed Description
Overview
The RSI Failure Swing Pattern Indicator is a trend reversal detection tool based on the principles of failure swings in the Relative Strength Index (RSI). This indicator identifies key reversal signals by analyzing RSI swings and confirming trend shifts using predefined overbought and oversold conditions.
Failure swing patterns are one of the strongest RSI-based reversal signals, initially introduced by J. Welles Wilder. This indicator detects these patterns and provides clear buy/sell signals with labeled entry, stop-loss, and profit target levels. The tool is designed to work across all timeframes and assets.
How the Indicator Works
The RSI Failure Swing Pattern consists of two key structures:
1. Bullish Failure Swing (Buy Signal)
Occurs when RSI enters oversold territory (below 30), recovers, forms a higher low above the oversold level, and finally breaks above the intermediate swing high in RSI.
Step 1: RSI dips below 30 (oversold condition).
Step 2: RSI rebounds and forms a local peak.
Step 3: RSI retraces but does not go below the previous low (higher low confirmation).
Step 4: RSI breaks above the previous peak, confirming a bullish trend reversal.
Buy signal is triggered at the breakout above the RSI peak.
2. Bearish Failure Swing (Sell Signal)
Occurs when RSI enters overbought territory (above 70), declines, forms a lower high below the overbought level, and then breaks below the intermediate swing low in RSI.
Step 1: RSI rises above 70 (overbought condition).
Step 2: RSI declines and forms a local trough.
Step 3: RSI bounces but fails to exceed the previous high (lower high confirmation).
Step 4: RSI breaks below the previous trough, confirming a bearish trend reversal.
Sell signal is triggered at the breakdown below the RSI trough.
Features of the Indicator
Custom RSI Settings: Adjustable RSI length (default 14), overbought/oversold levels.
Buy & Sell Signals: Buy/sell signals are plotted directly on the price chart.
Entry, Stop-Loss, and Profit Targets:
Entry: Price at the breakout of the RSI failure swing pattern.
Stop-Loss: Lowest low (for buy) or highest high (for sell) of the previous two bars.
Profit Targets: Two levels calculated based on Risk-Reward ratios (1:1 and 1:2 by default, customizable).
Labeled Price Levels:
Entry Price Line (Blue): Marks the point of trade entry.
Stop-Loss Line (Red): Shows the calculated stop-loss level.
Target 1 Line (Orange): Profit target at 1:1 risk-reward ratio.
Target 2 Line (Green): Profit target at 1:2 risk-reward ratio.
Alerts for Trade Execution:
Buy/Sell signals trigger alerts for real-time notifications.
Alerts fire when price reaches stop-loss or profit targets.
Works on Any Timeframe & Asset: Suitable for stocks, forex, crypto, indices, and commodities.
Why Use This Indicator?
Highly Reliable Reversal Signals: Unlike simple RSI overbought/oversold strategies, failure swings filter out false breakouts and provide strong confirmation of trend reversals.
Risk Management Built-In: Stop-loss and take-profit levels are automatically set based on historical price action and risk-reward considerations.
Easy-to-Use Visualization: Clearly marked entry, stop-loss, and profit target levels make it beginner-friendly while still being valuable for experienced traders.
How to Trade with the Indicator
Buy Trade Example (Bullish Failure Swing)
RSI drops below 30 and recovers.
RSI forms a higher low and then breaks above the previous peak.
Entry: Buy when RSI crosses above its previous peak.
Stop-Loss: Set below the lowest low of the previous two candles.
Profit Targets:
Target 1 (1:1 Risk-Reward Ratio)
Target 2 (1:2 Risk-Reward Ratio)
Sell Trade Example (Bearish Failure Swing)
RSI rises above 70 and then declines.
RSI forms a lower high and then breaks below the previous trough.
Entry: Sell when RSI crosses below its previous trough.
Stop-Loss: Set above the highest high of the previous two candles.
Profit Targets:
Target 1 (1:1 Risk-Reward Ratio)
Target 2 (1:2 Risk-Reward Ratio)
Final Thoughts
The RSI Failure Swing Pattern Indicator is a powerful tool for traders looking to identify high-probability trend reversals. By using the RSI failure swing concept along with built-in risk management tools, this indicator provides a structured approach to trading with clear entry and exit points. Whether you’re a day trader, swing trader, or long-term investor, this indicator helps in capturing momentum shifts while minimizing risk.
Would you like any modifications or additional features? 🚀
Uptrick: FRAMA Matrix RSIUptrick: FRAMA Matrix RSI
Introduction
The Uptrick: FRAMA Matrix RSI is a momentum-based indicator that integrates the Relative Strength Index (RSI) with the Fractal Adaptive Moving Average (FRAMA). By applying FRAMA's adaptive smoothing to RSI—and further refining it with a Zero-Lag Moving Average (ZLMA)—this script creates a refined and reliable momentum oscillator. The indicator now includes enhanced divergence detection, potential reversal signals, customizable buy/sell signal options, an internal stats table, and a fully customizable bar coloring system for an enhanced visual trading experience.
Why Combine RSI with FRAMA
Traditional RSI is a well-known momentum indicator but has several limitations. It is highly sensitive to price fluctuations, often generating false signals in choppy or volatile markets. FRAMA, in contrast, adapts dynamically to price changes by adjusting its smoothing factor based on market conditions.
By integrating FRAMA into RSI calculations, this indicator reduces noise while preserving RSI's ability to track momentum, adapts to volatility by reducing lag in trending markets and smoothing out choppiness in ranging conditions, enhances trend-following capability for more reliable momentum shifts, and refines overbought and oversold signals by adjusting to the current market structure.
With the new enhancements, such as a manual alpha input, noise filtering, divergence detection, and multiple buy/sell signal options, the indicator offers even greater flexibility and precision for traders. This combination improves the standard RSI by making it more adaptive and responsive to market changes.
Originality
This indicator is unique because it applies FRAMA's adaptive smoothing technique to RSI, creating a dynamic momentum oscillator that adjusts to different market conditions. Many traditional RSI-based indicators either use fixed smoothing methods like exponential moving averages or employ basic RSI calculations without adjusting for volatility.
This script stands out by integrating several elements, including the fractal dimension-based smoothing of FRAMA to reduce noise while retaining responsiveness, the use of Zero-Lag Moving Average smoothing to enhance trend sensitivity and reduce lag, divergence detection to highlight mismatches between price action and RSI momentum, a noise filter and manual alpha option to prevent minor fluctuations from generating false signals, customizable buy/sell signal options that let traders choose between ZLMA-based or FRAMA RSI-based signals, an internal stats table displaying real-time FRAMA calculations such as fractal dimension and the adaptive alpha factor, and a fully customizable bar coloring system to visually distinguish bullish, bearish, and neutral conditions.
Features
Adaptive FRAMA RSI
The indicator applies FRAMA to RSI values, making the momentum oscillator adaptive to volatility while filtering out noise. Unlike a traditional RSI that reacts equally to all price movements, FRAMA RSI adjusts its smoothing factor based on market structure, making it more effective for identifying true momentum shifts.
Zero-Lag Moving Average (ZLMA)
A smoothing technique that minimizes lag while preserving the responsiveness of price movements. It is applied to the FRAMA RSI to further refine signals and ensure smoother trend detection.
Bullish and Bearish Threshold Crossovers
This system compares FRAMA RSI to a user-defined threshold (default is 50). When FRAMA RSI moves above the threshold, it indicates bullish momentum, while movement below signals bearish conditions. The enhanced noise filter ensures that only significant moves trigger signals.
Noise Filter and Manual Alpha
A new noise filter input prevents tiny fluctuations from triggering false signals. In addition, a manual alpha option allows traders to override the automatically computed smoothing factor with a custom value, providing extra control over the indicator’s sensitivity.
Divergence Detection
The indicator identifies divergence patterns by comparing FRAMA RSI pivots to price action. Bullish divergence occurs when price makes a lower low while FRAMA RSI makes a higher low, and bearish divergence occurs when price makes a higher high while FRAMA RSI makes a lower high. These signals can help traders anticipate potential reversals.
Reversal Signals
Labels appear on the chart when FRAMA RSI confirms classic RSI overbought (70) or oversold (30) conditions, providing visual cues for potential trend reversals.
Buy and Sell Signal Options
Traders can now choose between two signal-generation methods. ZLMA-based signals trigger when the ZLMA of FRAMA RSI crosses key overbought (70) or oversold (30) levels, while FRAMA RSI-based signals trigger when FRAMA RSI itself crosses these levels. This added flexibility allows users to tailor the indicator to their preferred trading style.
ZLMA:
FRAMA:
Customizable Alerts
Alerts notify traders when FRAMA RSI crosses key levels, divergence signals occur, reversal conditions are met, or buy/sell signals trigger. This ensures that important trading events are not missed.
Fully Customizable Bar Coloring System
Users can color bars based on different conditions, enhancing visual clarity. Bar coloring modes include: FRAMA RSI threshold (bars change color based on whether FRAMA RSI is above or below the threshold), ZLMA crossover (bars change when ZLMA crosses overbought or oversold levels), buy/sell signals (bars change when official signals trigger), divergence (bars highlight when bullish or bearish divergence is detected), and reversals (bars indicate when RSI reaches overbought or oversold conditions confirmed by FRAMA RSI). The system also remembers the last applied bar color, ensuring a smooth visual transition.
Input Parameters and Features
Core Inputs
RSI Length (default: 14) defines the period for RSI calculations.
FRAMA Lookback (default: 16) determines the length for the FRAMA smoothing function.
RSI Bull Threshold (default: 50) sets the level above which the market is considered bullish and below which it is bearish.
Noise Filter (default: 1.0) ensures that small fluctuations do not trigger false bullish or bearish signals.
Additional Features
Show Bull and Bear Alerts (default: true) enables notifications when FRAMA RSI crosses the threshold.
Enable Divergence Detection (default: false) highlights bullish and bearish divergences based on price and FRAMA RSI pivots.
Show Potential Reversal Signals (default: false) identifies overbought (70) and oversold (30) levels as possible trend reversal points.
Buy and Sell Signal Option (default: ZLMA) allows traders to choose between ZLMA-based signals or FRAMA RSI-based signals for trade entry.
ZLMA Enhancements
ZLMA Length (default: 14) determines the period for the Zero-Lag Moving Average applied to FRAMA RSI.
Visualization Options
Show Internal Stats Table (default: false) displays real-time FRAMA calculations, including fractal dimension and the adaptive alpha smoothing factor.
Show Threshold FRAMA Signals (default: false) plots buy and sell labels when FRAMA RSI crosses the threshold level.
How It Works
FRAMA Calculation
FRAMA dynamically adjusts smoothing based on the price fractal dimension. The alpha smoothing factor is derived from the fractal dimension or can be set manually to maintain responsiveness.
RSI with FRAMA Smoothing
RSI is calculated using the user-defined lookback period. FRAMA is then applied to the RSI to make it more adaptive to volatility. Optionally, ZLMA is applied to further refine the signals and reduce lag.
Bullish and Bearish Threshold Crosses
A bullish condition occurs when FRAMA RSI crosses above the threshold, while a bearish condition occurs when it falls below. The noise filter ensures that only significant trend shifts generate signals.
Buy and Sell Signal Options
Traders can choose between ZLMA crossovers or FRAMA RSI crossovers as the basis for buy and sell signals, offering flexibility in trade entry timing.
Divergence Detection
The indicator identifies divergences where price action and FRAMA RSI momentum do not align, potentially signaling upcoming reversals.
Reversal Signal Labels
When classic RSI overbought or oversold levels are confirmed by FRAMA RSI conditions, reversal labels are added on the chart to highlight potential exhaustion points.
Bar Coloring System
Bars are dynamically colored based on various conditions such as RSI thresholds, ZLMA crossovers, buy/sell signals, divergence, and reversals, allowing traders to quickly interpret market sentiment.
Alerts and Internal Stats
Customizable alerts notify traders of key events, and an optional internal stats table displays real-time calculations (fractal dimension, alpha value, and RSI values) to help users understand the underlying dynamics of the indicator.
Summary
The Uptrick: FRAMA Matrix RSI offers an enhanced approach to momentum analysis by combining RSI with adaptive FRAMA smoothing and additional layers of signal refinement. The indicator now includes adaptive RSI smoothing to reduce noise and improve responsiveness, Zero-Lag Moving Average filtering to minimize lag, divergence and reversal detection to identify potential turning points, customizable buy/sell signal options that let traders choose between different signal methodologies, a fully customizable bar coloring system to visually distinguish market conditions, and an internal stats table for real-time insight into FRAMA calculation parameters.
Whether used for trend confirmation, divergence detection, or momentum-based strategies, this indicator provides a powerful and adaptive approach to trading.
Disclaimer
This script is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always conduct proper research and consult with a financial advisor before making trading decisions.
MTF RSI CandlesThis Pine Script indicator is designed to provide a visual representation of Relative Strength Index (RSI) values across multiple timeframes. It enhances traditional candlestick charts by color-coding candles based on RSI levels, offering a clearer picture of overbought, oversold, and sideways market conditions. Additionally, it displays a hoverable table with RSI values for multiple predefined timeframes.
Key Features
1. Candle Coloring Based on RSI Levels:
Candles are color-coded based on predefined RSI ranges for easy interpretation of market conditions.
RSI Levels:
75-100: Strongest Overbought (Green)
65-75: Stronger Overbought (Dark Green)
55-65: Overbought (Teal)
45-55: Sideways (Gray)
35-45: Oversold (Light Red)
25-35: Stronger Oversold (Dark Red)
0-25: Strongest Oversold (Bright Red)
2. Multi-Timeframe RSI Table:
Displays RSI values for the following timeframes:
1 Min, 2 Min, 3 Min, 4 Min, 5 Min
10 Min, 15 Min, 30 Min, 1 Hour, 1 Day, 1 Week
Helps traders identify RSI trends across different time horizons.
3. Hoverable RSI Values:
Displays the RSI value of any candle when hovering over it, providing additional insights for analysis.
Inputs
1. RSI Length:
Default: 14
Determines the calculation period for the RSI indicator.
2. RSI Levels:
Configurable thresholds for RSI zones:
75-100: Strongest Overbought
65-75: Stronger Overbought
55-65: Overbought
45-55: Sideways
35-45: Oversold
25-35: Stronger Oversold
0-25: Strongest Oversold
How It Works:
1. RSI Calculation:
The RSI is calculated for the current timeframe using the input RSI Length.
It is also computed for 11 additional predefined timeframes using request.security.
2. Candle Coloring:
Candles are colored based on their RSI values and the specified RSI levels.
3. Hoverable RSI Values:
Each candle displays its RSI value when hovered over, via a dynamically created label.
Multi-Timeframe Table:
A table at the bottom-left of the chart displays RSI values for all predefined timeframes, making it easy to compare trends.
Usage:
1. Trend Identification:
Use candle colors to quickly assess market conditions (overbought, oversold, or sideways).
2. Timeframe Analysis:
Compare RSI values across different timeframes to determine long-term and short-term momentum.
3. Signal Confirmation:
Combine RSI signals with other indicators or patterns for higher-confidence trades.
Best Practices
Use this indicator in conjunction with volume analysis, support/resistance levels, or trendline strategies for better results.
Customize RSI levels and timeframes based on your trading strategy or market conditions.
Limitations
RSI is a lagging indicator and may not always predict immediate market reversals.
Multi-timeframe analysis can lead to conflicting signals; consider your trading horizon.
RSI BandsOverview
The RSI Bands indicator is a tool designed to calculate and display overbought, oversold, and middle bands based on the Relative Strength Index (RSI).
Its primary purpose is to provide traders with a clue on whether to place limit buy or limit sell orders, or to set stop-loss orders effectively. The bands represent the price levels the asset must reach for the RSI to align with specific thresholds:
Overbought Band: Displays the upper band representing the price level the asset must reach for the RSI to become overbought.
Oversold Band: Displays the lower band representing the price level the asset must reach for the RSI to become oversold.
Middle Band: Displays the middle band representing the price level the asset must reach for the RSI to hit the middle level. It uses both traditional RSI calculations and a dynamic period adjustment mechanism for improved adaptability to market conditions. The script also offers smoothing options for the bands.
Features
Calculates overbought, oversold, and middle bands using RSI values.
Dynamically adjusts the RSI period based on pivot points if enabled.
Offers smoothing options for the bands: EMA, SMA, or None.
Customizable input parameters for flexibility.
Inputs
Source Value: Selects the data source (e.g., close price) for RSI calculation.
Period: Sets the static RSI calculation period. Used if dynamic period is disabled.
Use Dynamic Period?: Toggles the use of a dynamic RSI period.
Pivot Left/Right Length: Determines the range of bars for pivot detection when using dynamic periods.
Dynamic Period Multiplier: Scales the dynamically calculated RSI period.
Overbought Level: RSI level that marks the overbought threshold.
Oversold Level: RSI level that marks the oversold threshold.
Middle Level: RSI level used as a midpoint reference.
Smoothing Type: Specifies the smoothing method for the bands (EMA, SMA, or None).
Smoothing Length: Length used for the selected smoothing method.
Key Calculations
RSI Calculation:
Computes RSI using gains and losses over the specified period (dynamic or static).
Incorporates a custom function for calculating RSI with dynamic periods.
Dynamic Period Adjustment:
Uses pivot points to determine an adaptive RSI period.
Multiplies the base dynamic period by the Dynamic Period Multiplier.
Band Calculation:
Calculates price changes (deltas) required to achieve the overbought, oversold, and middle RSI levels.
The price changes (deltas) are determined using an iterative approximation technique. For each target RSI level (overbought, oversold, or middle), the script estimates the required change in price by adjusting a hypothetical delta value until the calculated RSI aligns with the target RSI. This approximation ensures precise calculation of the price levels necessary for the RSI to reach the specified thresholds.
Computes the upper (overbought), lower (oversold), and middle bands by adding these deltas to the source price.
Smoothing:
Applies the selected smoothing method (EMA or SMA) to the calculated bands.
Plots
Overbought Band: Displays the upper band representing the price level the asset must reach for the RSI to become overbought.
Oversold Band: Displays the lower band representing the price level the asset must reach for the RSI to become oversold.
Middle Band: Displays the middle band representing the price level the asset must reach for the RSI to hit the middle level.
Usage
Choose the source value (e.g., close price).
Select whether to use a dynamic RSI period or a static one.
Adjust pivot lengths and multipliers for dynamic period calculation as needed.
Set the overbought, oversold, and middle RSI levels based on your analysis.
Configure smoothing options for the bands.
Observe the plotted bands and use them to identify potential overbought and oversold market conditions.
3 Confirmation BearThe "3 Confirmation Bear" indicator is designed to help traders identify strong bearish market conditions with three key confirmations:
Price Below EMA15:
The price trading below the 15-period Exponential Moving Average (EMA) signals bearish momentum.
RSI Below a Threshold:
The Relative Strength Index (RSI) is below a user-defined threshold (default: 50), confirming a lack of bullish strength and momentum favoring the downside.
Downtrend Confirmation:
The indicator ensures the market is in a downtrend by checking for lower highs and lower lows over a specified lookback period.
Key Features:
Bearish Signals: Displays a red downward-pointing label above the price bar when all three conditions are met, making bearish setups easy to identify.
Customizable Inputs: Traders can adjust the EMA length, RSI threshold, and downtrend lookback period to suit their specific strategies.
Versatile Application: Ideal for short entries, trend validation, or avoiding long trades during bearish conditions.
How to Use:
Use the "3 Confirmation Bear" indicator to:
Confirm Short Trades: Enter bearish trades when the signal aligns with your strategy.
Validate Trends: Ensure a clear downtrend is present before committing to a position.
Filter Trades: Avoid long positions during bearish momentum.
This indicator simplifies decision-making by focusing on high-probability bearish setups. Perfect for day traders, swing traders, and those seeking clear confirmation before entering a trade.
RSI ProfitGuard [CHE]The RSI ProfitGuard Indicator is a comprehensive tool designed to assist traders in making informed decisions by integrating the Relative Strength Index (RSI) with automated Take Profit (TP) and Stop Loss (SL) levels. This indicator enhances trading strategies by providing clear entry signals and risk management parameters.
Key Features
RSIBased Signals: Utilizes RSI crossovers and crossunders to generate trade signals.
Automated TP and SL: Automatically calculates and plots Take Profit and Stop Loss levels based on userdefined methods.
Customizable Trade Types: Supports Long trades, Short trades, or both simultaneously.
Flexible Calculation Methods: Choose between Percentagebased or ATRbased methods for determining TP and SL levels.
Visual Enhancements: Highlights overbought and oversold RSI regions with background colors and marks trade entries with arrows.
Alerts: Provides realtime alerts when TP or SL levels are reached, ensuring timely trade management.
How It Works
1. RSI Calculation: The indicator calculates the RSI value based on the specified length.
2. Trade Signals:
Long Entry: Triggered when RSI crosses above the defined crossover threshold.
Short Entry: Triggered when RSI crosses below the defined crossunder threshold.
3. TP/SL Level Determination:
Percentage Method: Sets TP and SL as a percentage above and below the entry price.
ATR Method: Sets TP and SL based on the Average True Range (ATR), allowing for dynamic adjustments based on market volatility.
4. Visualization: Draws lines and labels on the chart to indicate TP, SL, and entry points.
5. Trade Management: Monitors price movements to determine if TP or SL levels are hit, automatically managing the trade state.
Customization Options
Trade Type Selection: Choose to execute Long trades, Short trades, or both.
RSI Settings:
RSI Length: Defines the period for RSI calculation (default is 14).
Crossover Threshold: RSI level above which a Long entry is signaled (default is 65).
Crossunder Threshold: RSI level below which a Short entry is signaled (default is 35).
Delay Settings: Sets the minimum number of bars between consecutive trade signals to avoid overtrading.
TP/SL Settings:
Method Selection: Choose between Percentage or ATRbased calculations.
Percentage Values: Define the percentage for TP and SL levels.
ATR Settings: Define ATR length and multipliers for TP and SL when using the ATR method.
Visual Settings:
Line Colors and Styles: Customize the appearance of TP, SL, crossover, and crossunder lines.
Transparency: Adjust the transparency of lines for better chart visibility.
Label Offset: Position labels at a specified number of bars to the right for clarity.
Using the Indicator
1. Add to Chart: Apply the RSI ProfitGuard Indicator to your TradingView chart.
2. Configure Settings: Adjust the parameters according to your trading strategy and risk tolerance.
3. Interpret Signals:
Long Entries: Look for green upward arrows indicating potential buy opportunities.
Short Entries: Look for red downward arrows indicating potential sell opportunities.
4. Monitor TP and SL Levels: Observe the plotted lines and labels to manage your trades effectively.
5. Set Up Alerts: Enable alerts to receive notifications when TP or SL levels are reached, ensuring you can act promptly.
Benefits
Enhanced DecisionMaking: Combines RSI signals with clear risk management levels.
Time Efficiency: Automates the calculation and plotting of TP and SL, saving time and reducing manual errors.
Flexibility: Adapts to various trading styles and market conditions through customizable settings.
Risk Management: Helps in defining and adhering to risk parameters, essential for longterm trading success.
Conclusion
The RSI ProfitGuard Indicator is an invaluable tool for traders seeking to integrate technical analysis with automated risk management. Its customizable features and realtime alerts provide a robust framework for executing and managing trades with confidence.
Disclaimer
The content provided with our RSI ProfitGuard Indicator, including all code, scripts, lessons, 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, or an offer of any financial product or service.
Key Points:
Educational Purpose:
All strategies, tools, and examples included within the RSI ProfitGuard Indicator are provided solely for illustrative purposes. They are designed to demonstrate coding techniques and the functionality of Pine Script within a trading context.
No Financial Advice:
The RSI ProfitGuard Indicator does not constitute financial advice. Users should not rely on it as a basis for making investment or trading decisions.
Hypothetical Results:
Any results or performance metrics derived from using the RSI ProfitGuard Indicator are purely hypothetical. Past performance is not indicative of future results, and there is no guarantee of profitability.
Risk Disclosure:
Trading and investing involve significant risks, including the potential loss of principal. The RSI ProfitGuard Indicator is not suitable for all persons, and users should be aware of the inherent risks involved in trading.
Professional Consultation:
Before making any trading decisions, it is strongly recommended to consult with a qualified financial professional to fully understand the risks and ensure that such decisions align with your financial situation and goals.
User Responsibility:
By using the RSI ProfitGuard Indicator, you acknowledge and agree that all trading decisions are made solely at your own discretion and risk. The developers and providers of the RSI ProfitGuard Indicator assume no responsibility or liability for any losses or damages resulting from its use.
Additional Notes:
No Guarantees:
There are no guarantees regarding the accuracy, reliability, or completeness of the RSI ProfitGuard Indicator. Users utilize the tool at their own risk.
No Endorsement:
Any mention of third-party products, services, or strategies within the RSI ProfitGuard Indicator does not constitute an endorsement or recommendation.
Updates and Modifications:
The RSI ProfitGuard Indicator may be updated or modified over time. Users are responsible for staying informed about any changes and understanding how they may impact the use of the tool.
Summary
This disclaimer clearly states that the RSI ProfitGuard Indicator is intended for educational purposes and should not be used as financial advice. It highlights the risks associated with trading, the hypothetical nature of any results, and the importance of consulting with a financial professional. Additionally, it emphasizes that users are solely responsible for their trading decisions and any outcomes that result from using the indicator.
Tips for Implementation:
Visibility:
Ensure that this disclaimer is prominently displayed wherever the RSI ProfitGuard Indicator is offered, such as on your website, within the TradingView description, or in any accompanying documentation.
Clarity:
Use clear and concise language to make sure that all users understand the limitations and responsibilities associated with using the indicator.
Legal Review:
Consider having the disclaimer reviewed by a legal professional to ensure that it meets all necessary legal requirements and adequately protects your interests.
Regular Updates:
Periodically review and update the disclaimer to reflect any changes in the indicator's functionality or in relevant laws and regulations.
RSI based MAGot it! Here’s some information in English specifically about the **RSI-based Moving Average (RSI-based MA)** that we wrote the Pine Script code for:
### RSI-Based Moving Average (RSI-based MA)
An **RSI-based Moving Average (RSI-based MA)** is a technical analysis tool that combines the Relative Strength Index (RSI) with moving averages to provide more insight into market trends and potential reversals. This indicator can be particularly useful for identifying the beginning and end of trends, allowing traders to make more informed decisions.
### How RSI-based MA Works
The RSI-based MA indicator calculates the moving average of the RSI values rather than the asset's price itself. In the script you asked for, we implemented two RSI-based moving averages: one for a 1-minute timeframe and another for a 5-minute timeframe. This dual timeframe approach can help traders spot trends more accurately and identify shifts in momentum across different time periods.
#### Key Features of RSI-based MA:
1. **Dual Timeframe Analysis**:
- The script plots two RSI-based moving averages on the same chart:
- **1-minute RSI-based MA**: A moving average calculated based on RSI values over a 1-minute interval.
- **5-minute RSI-based MA**: A moving average calculated based on RSI values over a 5-minute interval.
- Using different timeframes helps traders see both short-term and longer-term trends simultaneously.
2. **RSI Levels**:
- The RSI-based MA plots values between 0 and 100, similar to the RSI itself. Traders can use typical RSI levels, such as 70 (overbought) and 30 (oversold), to identify potential entry and exit points.
- **Overbought condition**: When the RSI-based MA moves above 70, it indicates the asset might be overbought, suggesting a potential for price to drop.
- **Oversold condition**: When the RSI-based MA drops below 30, it signals that the asset might be oversold, indicating a potential price increase.
3. **Crossovers**:
- **Bullish signal**: If the shorter 1-minute RSI-based MA crosses above the longer 5-minute RSI-based MA, this could indicate a new upward trend beginning.
- **Bearish signal**: Conversely, if the 1-minute RSI-based MA crosses below the 5-minute RSI-based MA, it could suggest the beginning of a downward trend.
### Potential Advantages
- **Smoother Trend Identification**: By applying moving averages to RSI, you can smooth out the short-term fluctuations in RSI values, making it easier to identify the underlying trend.
- **Versatility**: The indicator can be customized for different timeframes and settings, allowing it to be tailored to various trading strategies and asset classes.
- **Enhanced Signals**: Combining RSI and moving averages helps filter out noise, providing more reliable signals for potential trend changes or continuations.
### Potential Limitations
- **Lagging Indicator**: Like most moving averages, RSI-based MAs are lagging indicators. They tend to react after price movements have already begun, which could result in delayed signals.
- **False Signals**: In ranging or highly volatile markets, RSI-based MA may give false signals, indicating a trend reversal or continuation that does not occur.
- **Should Not Be Used Alone**: It's often recommended to use RSI-based MA alongside other technical indicators (like MACD, Bollinger Bands, or moving average crossovers) to confirm signals and reduce the risk of false readings.
### Conclusion
The RSI-based MA can be a powerful tool for traders looking to enhance their understanding of market trends and momentum. By combining RSI with moving averages, traders can smooth out RSI readings and gain a clearer view of the market’s direction. However, as with any indicator, it should be used in conjunction with other tools and strategies to maximize its effectiveness and reduce risk.
DynamicRSILibrary "DynamicRSI"
The "DynamicRSI" library provides a method to calculate a Dynamic Relative Strength Index (RSI) that adjusts its sensitivity based on market volatility. By combining short and long RSI periods with a weighted average influenced by the market's volatility, this library allows users to obtain a more responsive RSI tailored to changing market conditions.
"DynamicRSI" 라이브러리는 시장 변동성에 따라 감도를 조정하는 동적 상대 강도 지수(RSI)를 계산하는 방법을 제공합니다. 짧은 RSI와 긴 RSI 기간을 시장 변동성에 따라 가중 평균하여 결합함으로써, 이 라이브러리는 시장 상황에 맞게 보다 유연하게 반응하는 RSI를 제공합니다.
Function: drsi(src, minLength, maxLength, volatilityPeriod)
함수: drsi(src, minLength, maxLength, volatilityPeriod)
Parameters:
src (float)
The source data to calculate the RSI (e.g., close price). This is the price data that the RSI is calculated on.
RSI를 계산하기 위한 입력 데이터입니다(예: 종가(close) ). 이 값은 RSI를 계산하는 기준이 되는 가격 데이터입니다.
minLength (simple int)
The period for the shorter RSI. This parameter controls the sensitivity of the RSI, with a shorter period making the RSI more reactive to price changes.
짧은 RSI 기간입니다. 이 매개변수는 RSI의 감도를 제어하며, 더 짧은 기간은 RSI가 가격 변화에 더 민감하게 반응하게 합니다.
maxLength (simple int)
The period for the longer RSI. This parameter provides a smoother RSI, which is less sensitive to short-term price fluctuations.
긴 RSI 기간입니다. 이 매개변수는 더 부드러운 RSI를 제공하며, 단기적인 가격 변동에 덜 민감하게 반응합니다.
volatilityPeriod (simple int)
The period used for calculating the Average True Range (ATR) to measure market volatility. This volatility is then used to adjust the weighting between the short and long RSI, making the final Dynamic RSI more adaptive to market conditions.
시장 변동성을 측정하기 위해 평균 진정 범위(ATR)를 계산하는 기간입니다. 이 변동성을 기반으로 짧은 RSI와 긴 RSI 간의 가중치를 조정하여 최종 Dynamic RSI가 시장 상황에 더 잘 적응할 수 있도록 합니다.
Description:
The drsi function calculates a Dynamic RSI by weighting the short-term and long-term RSI values according to the current market volatility. The function uses the ATR to determine the market's volatility, applying more weight to the short-term RSI when volatility is high and more weight to the long-term RSI when volatility is low. This approach ensures that the RSI is more responsive during volatile periods and smoother during stable periods, providing traders with a more effective tool for identifying overbought and oversold conditions in varying market environments.
drsi 함수는 현재 시장 변동성에 따라 단기와 장기의 RSI 값을 가중치로 조정하여 Dynamic RSI를 계산합니다. 이 함수는 시장의 변동성을 판단하기 위해 ATR을 사용하며, 변동성이 높을 때는 단기 RSI에 더 많은 가중치를 적용하고, 변동성이 낮을 때는 장기 RSI에 더 많은 가중치를 적용합니다. 이 접근 방식은 변동성이 큰 기간 동안 RSI가 더 민감하게 반응하고, 안정적인 기간 동안 더 부드럽게 반응하도록 하여, 다양한 시장 환경에서 과매수 및 과매도 상태를 식별하는 데 보다 효과적인 도구를 제공합니다.
Advanced Gold Scalping Strategy with RSI Divergence# Advanced Gold Scalping Strategy with RSI Divergence
## Overview
This Pine Script implements an advanced scalping strategy for gold (XAUUSD) trading, primarily designed for the 1-minute timeframe. The strategy utilizes the Relative Strength Index (RSI) indicator along with its moving average to identify potential trade setups based on divergences between price action and RSI movements.
## Key Components
### 1. RSI Calculation
- Uses a customizable RSI length (default: 60)
- Allows selection of the source for RSI calculation (default: close price)
### 2. Moving Average of RSI
- Supports multiple MA types: SMA, EMA, SMMA (RMA), WMA, VWMA, and Bollinger Bands
- Customizable MA length (default: 3)
- Option to display Bollinger Bands with adjustable standard deviation multiplier
### 3. Divergence Detection
- Implements both bullish and bearish divergence identification
- Uses pivot high and pivot low points to detect divergences
- Allows for customization of lookback periods and range for divergence detection
### 4. Entry Conditions
- Long Entry: Bullish divergence when RSI is below 40
- Short Entry: Bearish divergence when RSI is above 60
### 5. Trade Management
- Stop Loss: Customizable, default set to 11 pips
- Take Profit: Customizable, default set to 33 pips
### 6. Visualization
- Plots RSI line and its moving average
- Displays horizontal lines at 30, 50, and 70 RSI levels
- Shows Bollinger Bands when selected
- Highlights divergences with "Bull" and "Bear" labels on the chart
## Input Parameters
- RSI Length: Adjusts the period for RSI calculation
- RSI Source: Selects the price source for RSI (close, open, high, low, hl2, hlc3, ohlc4)
- MA Type: Chooses the type of moving average applied to RSI
- MA Length: Sets the period for the moving average
- BB StdDev: Adjusts the standard deviation multiplier for Bollinger Bands
- Show Divergence: Toggles the display of divergence labels
- Stop Loss: Sets the stop loss distance in pips
- Take Profit: Sets the take profit distance in pips
## Strategy Logic
1. **RSI Calculation**:
- Computes RSI using the specified length and source
- Calculates the chosen type of moving average on the RSI
2. **Divergence Detection**:
- Identifies pivot points in both price and RSI
- Checks for higher lows in RSI with lower lows in price (bullish divergence)
- Checks for lower highs in RSI with higher highs in price (bearish divergence)
3. **Trade Entry**:
- Enters a long position when a bullish divergence is detected and RSI is below 40
- Enters a short position when a bearish divergence is detected and RSI is above 60
4. **Position Management**:
- Places a stop loss order at the entry price ± stop loss pips (depending on the direction)
- Sets a take profit order at the entry price ± take profit pips (depending on the direction)
5. **Visualization**:
- Plots the RSI and its moving average
- Draws horizontal lines for overbought/oversold levels
- Displays Bollinger Bands if selected
- Shows divergence labels on the chart for identified setups
## Usage Instructions
1. Apply the script to a 1-minute XAUUSD (Gold) chart in TradingView
2. Adjust the input parameters as needed:
- Increase RSI Length for less frequent but potentially more reliable signals
- Modify MA Type and Length to change the sensitivity of the RSI moving average
- Adjust Stop Loss and Take Profit levels based on current market volatility
3. Monitor the chart for Bull (long) and Bear (short) labels indicating potential trade setups
4. Use in conjunction with other analysis and risk management techniques
## Considerations
- This strategy is designed for short-term scalping and may not be suitable for all market conditions
- Always backtest and forward test the strategy before using it with real capital
- The effectiveness of divergence-based strategies can vary depending on market trends and volatility
- Consider using additional confirmation signals or filters to improve the strategy's performance
Remember to adapt the strategy parameters to your risk tolerance and trading style, and always practice proper risk management.
RSI Multiple TimeFrame, Version 1.0RSI Multiple TimeFrame, Version 1.0
Overview
The RSI Multiple TimeFrame script is designed to enhance trading decisions by providing a comprehensive view of the Relative Strength Index (RSI) across multiple timeframes. This tool helps traders identify overbought and oversold conditions more accurately by analyzing RSI values on different intervals simultaneously. This is particularly useful for traders who employ multi-timeframe analysis to confirm signals and make more informed trading decisions.
Unique Feature of the new script (described in detail below)
Multi-Timeframe RSI Analysis
Customizable Timeframes
Visual Signal Indicators (dots)
Overbought and Oversold Layers with gradual Background Fill
Enhanced Trend Confirmation
Originality and Usefulness
This script combines the RSI indicator across three distinct timeframes into a single view, providing traders with a multi-dimensional perspective of market momentum. It also provides associated signals to better time dips and peaks. Unlike standard RSI indicators that focus on a single timeframe, this script allows users to observe RSI trends across short, medium, and long-term intervals, thereby improving the accuracy of entry and exit signals. This is particularly valuable for traders looking to align their short-term strategies with longer-term market trends.
Signal Description
The script also includes a unique signal feature that plots green and red dots on the chart to highlight potential buy and sell opportunities:
Green Dots : These appear when all three RSI values are under specific thresholds (RSI of the shortest timeframe < 30, the medium timeframe < 40, and the longest timeframe < 50) and the RSI of the shortest timeframe is showing an upward trend (current value is greater than the previous value, and the value two periods ago is greater than the previous value). This indicates a potential buying opportunity as the market may be shifting from an oversold condition.
Red Dots : These appear when all three RSI values are above specific thresholds (RSI of the shortest timeframe > 70, the medium timeframe > 60, and the longest timeframe > 50) and the RSI of the shortest timeframe is showing a downward trend (current value is less than the previous value, and the value two periods ago is less than the previous value). This indicates a potential selling opportunity as the market may be shifting from an overbought condition.
These signals help traders identify high-probability turning points in the market by ensuring that momentum is aligned across multiple timeframes.
Detailed Description
Input Variables
RSI Period (`len`) : The number of periods to calculate the RSI. Default is 14.
RSI Source (`src`) : The price source for RSI calculation, defaulting to the average of the high and low prices (`hl2`).
Timeframes (`tf1`, `tf2`, `tf3`) : The different timeframes for which the RSI is calculated, defaulting to 5 minutes, 1 hour, and 8 hours respectively.
Functionality
RSI Calculations : The script calculates the RSI for each of the three specified timeframes using the `request.security` function. This allows the RSI to be plotted for multiple intervals, providing a layered view of market momentum.
```pine
rsi_tf1 = request.security(syminfo.tickerid, tf1, ta.rsi(src, len))
rsi_tf2 = request.security(syminfo.tickerid, tf2, ta.rsi(src, len))
rsi_tf3 = request.security(syminfo.tickerid, tf3, ta.rsi(src, len))
```
Plotting : The RSI values for the three timeframes are plotted with different colors and line widths for clear visual distinction. This makes it easy to compare RSI values across different intervals.
```pine
p1 = plot(rsi_tf1, title="RSI 5m", color=color.rgb(200, 200, 255), linewidth=2)
p2 = plot(rsi_tf2, title="RSI 1h", color=color.rgb(125, 125, 255), linewidth=2)
p3 = plot(rsi_tf3, title="RSI 8h", color=color.rgb(0, 0, 255), linewidth=2)
```
Overbought and Oversold Levels : Horizontal lines are plotted at standard RSI levels (20, 30, 40, 50, 60, 70, 80) to visually identify overbought and oversold conditions. The areas between these levels are filled with varying shades of blue for better visualization.
```pine
h80 = hline(80, title="RSI threshold 80", color=color.gray, linestyle=hline.style_dotted, linewidth=1)
h70 = hline(70, title="RSI threshold 70", color=color.gray, linestyle=hline.style_dotted, linewidth=1)
...
fill(h70, h80, color=color.rgb(33, 150, 243, 95), title="Background")
```
Signal Plotting : The script adds green and red dots to indicate potential buy and sell signals, respectively. A green dot is plotted when all RSI values are under specific thresholds and the RSI of the shortest timeframe is rising. Conversely, a red dot is plotted when all RSI values are above specific thresholds and the RSI of the shortest timeframe is falling.
```pine
plotshape(series=(rsi_tf1 < 30 and rsi_tf2 < 40 and rsi_tf3 < 50 and (rsi_tf1 > rsi_tf1 ) and (rsi_tf1 > rsi_tf1 )) ? 1 : na, location=location.bottom, color=color.green, style=shape.circle, size=size.tiny)
plotshape(series=(rsi_tf1 > 70 and rsi_tf2 > 60 and rsi_tf3 > 50 and (rsi_tf1 < rsi_tf1 ) and (rsi_tf1 < rsi_tf1 )) ? 1 : na, location=location.top, color=color.red, style=shape.circle, size=size.tiny)
```
How to Use
Configuring Inputs : Adjust the RSI period and source as needed. Modify the timeframes to suit your trading strategy.
Interpreting the Indicator : Use the plotted RSI values to gauge momentum across different timeframes. Look for overbought conditions (RSI above 70, 60 and 50) and oversold conditions (RSI below 30, 40 and 50) across multiple intervals to confirm trade signals.
Signal Confirmation : Pay attention to the green and red dots that provide signals to better time dips and peaks. dots are printed when the lower timeframe (5mn by default) shows sign of reversal.
These signals are more reliable when confirmed across all three timeframes.
This script provides a nuanced view of RSI, helping traders make more informed decisions by considering multiple timeframes simultaneously. By combining short, medium, and long-term RSI values, traders can better align their strategies with overarching market trends, thus improving the precision of their trading actions.
Smart Money Liquidity Heatmap [AlgoAlpha]🌟📈 Introducing the Smart Money Liquidity Heatmap by AlgoAlpha! 🗺️🚀
Dive into the depths of market liquidity with our innovative Pine Script™ indicator designed to illuminate the trading actions of smart money! This meticulously crafted tool provides an enhanced visualization of liquidity flow, highlighting the dynamics between smart and retail investors directly on your chart! 🌐🔍
🙌 Key Features of the Smart Money Liquidity Heatmap:
🖼️ Visual Clarity: Uses vibrant heatmap colors to represent liquidity concentrations, making it easier to spot significant trading zones.
🔧 Customizable Settings: Adjust index periods, volume flow periods, and more to tailor the heatmap to your trading strategy.
📊 Dynamic Ratios: Computes the ratio of smart money to retail trading activity, providing insights into who is driving market movements.
👓 Transparency Options: Modify color intensity for better visibility against various chart backgrounds.
🛠 How to Use the Smart Money Liquidity Heatmap:
1️⃣ Add the Indicator:
Add the indicator to favourites. Customize settings to align with your trading preferences, including periods for index calculation and volume flow.
2️⃣ Market Analysis:
Monitor the heatmap for high liquidity zones signalled by the heatmap. These are potential areas where smart money is actively engaging, providing crucial insights into market dynamics.
Basic Logic Behind the Indicator:
The Smart Money Liquidity Heatmap utilizes the Smart Money Interest Index Indicator and operates by differentiating between the trading behaviors of informed (smart money) and less-informed (retail) traders. It calculates the differences between specific volume indices—Positive Volume Index (PVI) for retail investors and Negative Volume Index (NVI) for institutional players—and their respective moving averages, highlighting these differences using the Relative Strength Index (RSI) over user-specified periods. This calculation generates a ratio that is then normalized and compared against a threshold to identify areas of high institutional trading interest, visually representing these zones on your chart as vibrant heatmaps. This enables traders to visually identify where significant trading activities among smart money are occurring, potentially signalling important buying or selling opportunities.
🎉 Elevate your trading experience with precision, insight, and clarity by integrating the Smart Money Liquidity Heatmap into your toolkit today!
Advanced Dynamic Threshold RSI [Elysian_Mind]Advanced Dynamic Threshold RSI Indicator
Overview
The Advanced Dynamic Threshold RSI Indicator is a powerful tool designed for traders seeking a unique approach to RSI-based signals. This indicator combines traditional RSI analysis with dynamic threshold calculation and optional Bollinger Bands to generate weighted buy and sell signals.
Features
Dynamic Thresholds: The indicator calculates dynamic thresholds based on market volatility, providing more adaptive signal generation.
Performance Analysis: Users can evaluate recent price performance to further refine signals. The script calculates the percentage change over a specified lookback period.
Bollinger Bands Integration: Optional integration of Bollinger Bands for additional confirmation and visualization of potential overbought or oversold conditions.
Customizable Settings: Traders can easily customize key parameters, including RSI length, SMA length, lookback bars, threshold multiplier, and Bollinger Bands parameters.
Weighted Signals: The script introduces a unique weighting mechanism for signals, reducing false positives and improving overall reliability.
Underlying Calculations and Methods
1. Dynamic Threshold Calculation:
The heart of the Advanced Dynamic Threshold RSI Indicator lies in its ability to dynamically calculate thresholds based on multiple timeframes. Let's delve into the technical details:
RSI Calculation:
For each specified timeframe (1-hour, 4-hour, 1-day, 1-week), the Relative Strength Index (RSI) is calculated using the standard 14-period formula.
SMA of RSI:
The Simple Moving Average (SMA) is applied to each RSI, resulting in the smoothing of RSI values. This smoothed RSI becomes the basis for dynamic threshold calculations.
Dynamic Adjustment:
The dynamically adjusted threshold for each timeframe is computed by adding a constant value (5 in this case) to the respective SMA of RSI. This dynamic adjustment ensures that the threshold reflects changing market conditions.
2. Weighted Signal System:
To enhance the precision of buy and sell signals, the script introduces a weighted signal system. Here's how it works technically:
Signal Weighting:
The script assigns weights to buy and sell signals based on the crossover and crossunder events between RSI and the dynamically adjusted thresholds. If a crossover event occurs, the weight is set to 2; otherwise, it remains at 1.
Signal Combination:
The weighted buy and sell signals from different timeframes are combined using logical operations. A buy signal is generated if the product of weights from all timeframes is equal to 2, indicating alignment across timeframe.
3. Experimental Enhancements:
The Advanced Dynamic Threshold RSI Indicator incorporates experimental features for educational exploration. While not intended as proven strategies, these features aim to offer users a glimpse into unconventional analysis. Some of these features include Performance Calculation, Volatility Calculation, Dynamic Threshold Calculation Using Volatility, Bollinger Bands Module, Weighted Signal System Incorporating New Features.
3.1 Performance Calculation:
The script calculates the percentage change in the price over a specified lookback period (variable lookbackBars). This provides a measure of recent performance.
pctChange(src, length) =>
change = src - src
pctChange = (change / src ) * 100
recentPerformance1H = pctChange(close, lookbackBars)
recentPerformance4H = pctChange(request.security(syminfo.tickerid, "240", close), lookbackBars)
recentPerformance1D = pctChange(request.security(syminfo.tickerid, "1D", close), lookbackBars)
3.2 Volatility Calculation:
The script computes the standard deviation of the closing price to measure volatility.
volatility1H = ta.stdev(close, 20)
volatility4H = ta.stdev(request.security(syminfo.tickerid, "240", close), 20)
volatility1D = ta.stdev(request.security(syminfo.tickerid, "1D", close), 20)
3.3 Dynamic Threshold Calculation Using Volatility:
The dynamic thresholds for RSI are calculated by adding a multiplier of volatility to 50.
dynamicThreshold1H = 50 + thresholdMultiplier * volatility1H
dynamicThreshold4H = 50 + thresholdMultiplier * volatility4H
dynamicThreshold1D = 50 + thresholdMultiplier * volatility1D
3.4 Bollinger Bands Module:
An additional module for Bollinger Bands is introduced, providing an option to enable or disable it.
// Additional Module: Bollinger Bands
bbLength = input(20, title="Bollinger Bands Length")
bbMultiplier = input(2.0, title="Bollinger Bands Multiplier")
upperBand = ta.sma(close, bbLength) + bbMultiplier * ta.stdev(close, bbLength)
lowerBand = ta.sma(close, bbLength) - bbMultiplier * ta.stdev(close, bbLength)
3.5 Weighted Signal System Incorporating New Features:
Buy and sell signals are generated based on the dynamic threshold, recent performance, and Bollinger Bands.
weightedBuySignal = rsi1H > dynamicThreshold1H and rsi4H > dynamicThreshold4H and rsi1D > dynamicThreshold1D and crossOver1H
weightedSellSignal = rsi1H < dynamicThreshold1H and rsi4H < dynamicThreshold4H and rsi1D < dynamicThreshold1D and crossUnder1H
These features collectively aim to provide users with a more comprehensive view of market dynamics by incorporating recent performance and volatility considerations into the RSI analysis. Users can experiment with these features to explore their impact on signal accuracy and overall indicator performance.
Indicator Placement for Enhanced Visibility
Overview
The design choice to position the "Advanced Dynamic Threshold RSI" indicator both on the main chart and beneath it has been carefully considered to address specific challenges related to visibility and scaling, providing users with an improved analytical experience.
Challenges Faced
1. Differing Scaling of RSI Results:
RSI values for different timeframes (1-hour, 4-hour, and 1-day) often exhibit different scales, especially in markets like gold.
Attempting to display these RSIs on the same chart can lead to visibility issues, as the scaling differences may cause certain RSI lines to appear compressed or nearly invisible.
2. Candlestick Visibility vs. RSI Scaling:
Balancing the visibility of candlestick patterns with that of RSI values posed a unique challenge.
A single pane for both candlesticks and RSIs may compromise the clarity of either, particularly when dealing with assets that exhibit distinct volatility patterns.
Design Solution
Placing the buy/sell signals above/below the candles helps to maintain a clear association between the signals and price movements.
By allocating RSIs beneath the main chart, users can better distinguish and analyze the RSI values without interference from candlestick scaling.
Doubling the scaling of the 1-hour RSI (displayed in blue) addresses visibility concerns and ensures that it remains discernible even when compared to the other two RSIs: 4-hour RSI (orange) and 1-day RSI (green).
Bollinger Bands Module is optional, but is turned on as default. When the module is turned on, the users can see the upper Bollinger Band (green) and lower Bollinger Band (red) on the main chart to gain more insight into price actions of the candles.
User Flexibility
This dual-placement approach offers users the flexibility to choose their preferred visualization:
The main chart provides a comprehensive view of buy/sell signals in relation to candlestick patterns.
The area beneath the chart accommodates a detailed examination of RSI values, each in its own timeframe, without compromising visibility.
The chosen design optimizes visibility and usability, addressing the unique challenges posed by differing RSI scales and ensuring users can make informed decisions based on both price action and RSI dynamics.
Usage
Installation
To ensure you receive updates and enhancements seamlessly, follow these steps:
Open the TradingView platform.
Navigate to the "Indicators" tab in the top menu.
Click on "Community Scripts" and search for "Advanced Dynamic Threshold RSI Indicator."
Select the indicator from the search results and click on it to add to your chart.
This ensures that any future updates to the indicator can be easily applied, keeping you up-to-date with the latest features and improvements.
Review Code
Open TradingView and navigate to the Pine Editor.
Copy the provided script.
Paste the script into the Pine Editor.
Click "Add to Chart."
Configuration
The indicator offers several customizable settings:
RSI Length: Defines the length of the RSI calculation.
SMA Length: Sets the length of the SMA applied to the RSI.
Lookback Bars: Determines the number of bars used for recent performance analysis.
Threshold Multiplier: Adjusts the multiplier for dynamic threshold calculation.
Enable Bollinger Bands: Allows users to enable or disable Bollinger Bands integration.
Interpreting Signals
Buy Signal: Generated when RSI values are above dynamic thresholds and a crossover occurs.
Sell Signal: Generated when RSI values are below dynamic thresholds and a crossunder occurs.
Additional Information
The indicator plots scaled RSI lines for 1-hour, 4-hour, and 1-day timeframes.
Users can experiment with additional modules, such as machine-learning simulation, dynamic real-life improvements, or experimental signal filtering, depending on personal preferences.
Conclusion
The Advanced Dynamic Threshold RSI Indicator provides traders with a sophisticated tool for RSI-based analysis, offering a unique combination of dynamic thresholds, performance analysis, and optional Bollinger Bands integration. Traders can customize settings and experiment with additional modules to tailor the indicator to their trading strategy.
Disclaimer: Use of the Advanced Dynamic Threshold RSI Indicator
The Advanced Dynamic Threshold RSI Indicator is provided for educational and experimental purposes only. The indicator is not intended to be used as financial or investment advice. Trading and investing in financial markets involve risk, and past performance is not indicative of future results.
The creator of this indicator is not a financial advisor, and the use of this indicator does not guarantee profitability or specific trading outcomes. Users are encouraged to conduct their own research and analysis and, if necessary, consult with a qualified financial professional before making any investment decisions.
It is important to recognize that all trading involves risk, and users should only trade with capital that they can afford to lose. The Advanced Dynamic Threshold RSI Indicator is an experimental tool that may not be suitable for all individuals, and its effectiveness may vary under different market conditions.
By using this indicator, you acknowledge that you are doing so at your own risk and discretion. The creator of this indicator shall not be held responsible for any financial losses or damages incurred as a result of using the indicator.
Kind regards,
Ely
ATRMonitor: Dynamic ATR and RSI-Based HistogramThe ATRMonitor is a cutting-edge technical indicator designed for traders seeking to harness the combined power of Average True Range (ATR) and Relative Strength Index (RSI) in one intuitive histogram. This innovative tool plots a histogram based on the RSI (6 periods), but with a unique twist: the color of each bar is determined by the relationship between the ATR (6 periods) and its Exponential Moving Average (EMA, 6 periods).
Green Bars: Indicate bullish momentum when the ATR is above its EMA, signaling potential strength in price movements.
Red Bars: Suggest bearish sentiment when the ATR falls below its EMA, potentially indicating weaker price movements.
Ideal for both novice and experienced traders, the ATRMonitor offers a straightforward visualization of market volatility and momentum. It's perfect for various trading styles, including scalping, day trading, and swing trading across diverse markets. Enhance your trading decisions with the ATRMonitor, your go-to tool for a deeper understanding of market dynamics.
Volatility Adjusted Composite RSI with SMA and EMA SignalsOverview
The script "VAC - RSI with SMA and EMA Signals" combines the traditional Relative Strength Index (RSI) with Time-based RSI (T-RSI), and adjusts it for volatility to create a Composite RSI (C-RSI). The script further uses Simple Moving Average (SMA) and Exponential Moving Average (EMA) to generate signals for potential trading opportunities. In the "VAC - RSI with SMA and EMA Signals" script, the combination of price, time, and volatility works as follows:
Price: The script calculates the traditional RSI based on price changes over a specified period.
Time: Alongside the price-based RSI, a Time-based RSI (T-RSI) is calculated, which considers the number of upward and downward closes over the same period.
Volatility: Volatility is integrated into the Composite RSI (C-RSI) by adjusting it with a Z-score based on a standard deviation of closing prices.
These three factors work together to create a more holistic and robust indicator.
How can it be used?
This script is used to identify potential overbought and oversold conditions in the market. It plots the VAC-RSI, SMA, and EMA on a chart, along with overbought and oversold levels, providing visual signals to the trader. When the EMA is below the SMA, it is a bullish signal, and vice versa for a bearish signal.
Default Values for Different Inputs:
Price RSI Weightage (%): 65
Unified Period for RSI & T-RSI: 14
C-RSI SMA Period: 13
C-RSI EMA Period: 33
C-RSI Bull Trend Support: 35
C-RSI Bear Trend Resistance: 65
Use Volatility Adjusted C-RSI (VAC-RSI): true
Standard Deviation Period: 14
Volatility Scaling Factor (α): 5
These values can be adjusted according to the trading strategy to optimize the signals for different assets or timeframes.
Strategies this Can be Used for:
The script can be used in various trading strategies including:
Trend Following: By observing the crosses of EMA and SMA, traders can follow the trend.
Reversion to the Mean: Using the overbought and oversold levels to identify potential reversal points.
Breakout: Identifying breakout points using the Bull and Bear Market Support and Resistance levels.
Comparison with the Standard Indicator:
Enhanced Sensitivity to Market Conditions
Improved Signal Quality
Versatility
Volatility Adjustment
Interpretation of Output Values:
VAC-RSI Value:
The script provides additional overbought (80) and oversold (20) lines to help identify extreme conditions.
SMA and EMA Values:
When the EMA is below the SMA, it is generally considered a bullish signal.
When the EMA is above the SMA, it is generally considered a bearish signal.
The cross of EMA and SMA can be used as a trigger for entry or exit points.
Bull and Bear Market Support and Resistance Lines:
The Bull Market VAC-RSI Support (default at 35) and Bear Market VAC-RSI Resistance (default at 65) lines can be used to identify potential breakout or breakdown points.
In a bull market, if the VAC-RSI stays above the support line, it indicates a strong uptrend.
In a bear market, if the VAC-RSI stays below the resistance line, it indicates a strong downtrend.
Divergance Based on Vortex IndicatorThe Vortex-Based Divergence Indicator represents a groundbreaking approach to analyzing market dynamics within the realm of technical analysis. Drawing inspiration from the concept of vortices and their cyclical patterns, this indicator strives to illuminate potential divergence points within financial markets, providing traders with valuable insights for informed decision-making.
At its foundation, the Vortex-Based Divergence Indicator builds upon the principles of the Vortex Indicator, a well-established tool for gauging momentum and identifying potential trend reversals. However, this innovative indicator goes a step further by focusing on the divergences that can occur between the Vortex Indicator and the actual price movements.
Divergences, which arise when the direction of an indicator's movement contradicts the direction of price action, hold paramount significance within the Vortex-Based Divergence Indicator. By integrating this indicator with other renowned oscillators, such as the Relative Strength Index (RSI) or the Moving Average Convergence Divergence (MACD), traders can augment their analytical capabilities significantly.
These complementary oscillators can corroborate or validate the signals generated by the Vortex-Based Divergence Indicator. For instance, when the Vortex-Based Divergence Indicator hints at a potential trend reversal, cross-referencing this insight with the RSI's overbought or oversold levels can enhance the accuracy of the prediction. Likewise, employing the MACD to confirm momentum shifts in conjunction with the Vortex Indicator's signals can provide a more comprehensive view of market dynamics.
It's crucial to emphasize the importance of synergy when combining these indicators. Rather than relying solely on the Vortex-Based Divergence Indicator, incorporating other oscillators acts as a checks-and-balances system, reducing false signals and enhancing the overall reliability of the trading strategy. However, prudent traders also recognize that no indicator or combination thereof is foolproof. Additional factors, such as fundamental analysis and market news, should also be considered to achieve well-rounded trading decisions.
In essence, the Vortex-Based Divergence Indicator's integration with established oscillators like RSI and MACD offers traders a powerful toolkit to navigate complex market landscapes. By leveraging the strengths of each indicator and cross-referencing their insights, traders can elevate their trading strategies to new heights of accuracy and effectiveness.
HTF Oscillators RSI/ROC/MFI/CCI/AO - Dynamic SmoothingThe Interplay of Time Frames: A Balanced View
Navigating the markets often involves interpreting trends from multiple angles. The HTF Oscillators with Dynamic Smoothing indicator enables you to do just that. This tool provides the option to integrate smoothed oscillator readings from Higher Time Frames (HTF) into lower time frame charts, such as a 1-minute chart. By doing so, the indicator offers a balanced viewpoint that bridges the gap between micro and macro perspectives, helping you make informed decisions without losing sight of the broader market context.
Features
Multi-Oscillator Support
Choose from a range of popular oscillators like the Relative Strength Index (RSI), Rate of Change (ROC), Money Flow Index (MFI), Commodity Channel Index (CCI), and Awesome Oscillator (AO). These oscillators are commonly used as foundational building blocks in trading strategy scripts by traders worldwide. Switch effortlessly between them, depending on your trading strategy and requirements. To maintain consistency and a familiar user experience, our script adopts the same visual aesthetics that you'll find in Pine Script indicators on TradingView: a sleek purple line for the oscillator and a transparent band filling. These visual elements are not only pleasing to the eye but also widely appreciated by the trading community.
Dynamic Smoothing
The unique dynamic smoothing feature calculates a smoothing factor based on the ratio of minutes between the Higher Time Frame (HTF) and your current time frame. This provides a sleek and responsive oscillator line that still holds the weight of the longer trend. One of the significant advantages of this feature is user experience; when you change your time frame, the HTF-values in your settings will remain consistent. This ensures that you can easily switch between different time frames without losing the insights provided by your selected HTF.
Visual Aids
Visual cues are an essential part of any trading strategy. The indicator not only plots signals to mark overbought and oversold conditions based on the dynamically smoothed oscillator but also provides you with the flexibility to customize your visual experience. You have the option to toggle on/off the display of these signals depending on your specific needs. Additionally, bands can be displayed at overbought and oversold levels, along with a reference middle line. If you switch between different oscillators (available in the parameter settings), remember to manually adjust the bands in the input settings to ensure signals matches with the type of oscillator to your liking.
User-Friendly Settings
We've grouped related settings together, making it easier for you to find what you're looking for. Adjust the oscillator type, length of bars, smoothing settings, and more with just a few clicks.
Information Table
A standout feature of this indicator is the real-time information table, which displays the values of all selected oscillators based on your specified Higher Time Frame (HTF) settings. This can be particularly useful for traders who depend on multiple indicators for their decision-making process. The data presented in the table is synchronized with the HTF options you've configured in the input settings, allowing for a more efficient and quick scan of values from higher time frames.
Educational Corner: The Power of the Information Table and Customization
The table incorporated into this indicator isn't just eye-candy; it's a practical tool designed to elevate your trading strategy. It dynamically displays real-time values of various oscillators for the HTF you've chosen. This is an exemplary use of TradingView's scripting capabilities to blend multiple indicators into a single visual panel, streamlining your analysis and decision-making process.
But here's the best part: You're not limited to what we've created. With some basic understanding of TradingView's scripting language, Pine Script, you can easily adapt this table to include different indicators that suit your unique trading style. The logic in the script is modular and can serve as a foundation for your own customized trading dashboard. So, go ahead, get creative and explore new combinations of indicators that will help you excel in your trading endeavors!
You no longer have to toggle between different charts or indicators to get the information you need; it's all there in one neatly organized table. We encourage you to tap into this feature and make it your own, empowering your trading like never before.
By doing so, you not only gain a more comprehensive toolset, but you also engage more deeply with your trading strategy, understanding its nuances and, ultimately, making more informed decisions.
Conclusion
The HTF Oscillators with Dynamic Smoothing is a versatile and powerful tool that brings together the best of both worlds: the perspective of higher time frames and the granularity of shorter ones. Its feature-rich setting options and real-time information table make it a potential useful addition to your trading toolkit.
Remember, while this indicator offers a comprehensive and smarter way to look at the markets, it is not a foolproof method for predicting market movements. Always use it in conjunction with other analysis methods and risk management strategies.
Market trend based on ema strengthThis script is a trading indicator written in Pine Script, a domain-specific language used for creating custom technical analysis indicators and strategies on the TradingView platform. Let's break down what this script is doing and its potential usage:
Title and Overlay:
The indicator is given a title: "Market trend based on ema strength."
The overlay=true parameter ensures that the indicator is plotted on the price chart itself, overlaying the price data.
EMA Calculations:
Exponential Moving Averages (EMAs) are calculated for different time periods based on the closing prices.
Degree of Change Calculation:
The degree of change is calculated as the percentage difference between the closing price and each respective EMAs.
Trend Identification:
The script attempts to identify uptrends and downtrends based on the comparison of degree of change values across the different EMAs. For an uptrend, each subsequent EMA's degree of change should be greater than the previous one, and for a downtrend, it should be lower.
EMA and RSI Calculation:
Additional EMAs and the Relative Strength Index (RSI) are calculated.
Buy and Sell Signal Generation:
Buy signals are generated when certain conditions are met: an uptrend is detected, the previous close is below the additional EMAs, and the current close is above the additional EMAs.
Sell signals are generated in the opposite scenario: a downtrend is detected, the previous close is above the additional EMAs, and the current close is below the additional EMAs.
Visualization:
The script uses plotshape to visually indicate buy and sell signals on the chart as labels.
The background color of the chart is changed based on the detected trend
Usage:
This indicator is designed to assist traders in identifying potential buy and sell signals based on trends in EMAs, RSI, and price movement. It provides a visual representation of trend changes and generates signals when certain conditions align, helping traders make informed decisions about entering or exiting positions.
It's important to note that while this script provides an automated approach to identifying trends and generating signals, successful trading also requires a deep understanding of the market, risk management, and the application of multiple indicators and strategies. Traders should thoroughly backtest and validate any trading strategy before applying it in real trading scenarios.
Volatility-Based Mean Reversion BandsThe Volatility-Based Mean Reversion Bands indicator is a powerful tool designed to identify potential mean reversion trading opportunities based on market volatility. The indicator consists of three lines: the mean line, upper band, and lower band. These bands dynamically adjust based on the average true range (ATR) and act as reference levels for identifying overbought and oversold conditions.
The calculation of the indicator involves several steps. The average true range (ATR) is calculated using a specified lookback period. The ATR measures the market's volatility by considering the range between high and low prices over a given period. The mean line is calculated as a simple moving average (SMA) of the closing prices over the same lookback period. The upper band is derived by adding the product of the ATR and a multiplier to the mean line, while the lower band is derived by subtracting the product of the ATR and the same multiplier from the mean line.
Interpreting the indicator is relatively straightforward. When the price approaches or exceeds the upper band, it suggests that the market is overbought and may be due for a potential reversal to the downside. On the other hand, when the price approaches or falls below the lower band, it indicates that the market is oversold and may be poised for a potential reversal to the upside. Traders can look for opportunities to enter short positions near the upper band and long positions near the lower band, anticipating the price to revert back towards the mean line.
The bar color and background color play a crucial role in visualizing the indicator's signals and market conditions. Lime-colored bars are used when the price is above the upper band, indicating a potential bearish mean reversion signal. Conversely, fuchsia-colored bars are employed when the price is below the lower band, suggesting a potential bullish mean reversion signal. This color scheme helps traders quickly identify the prevailing market condition and potential reversal zones. The background color complements the bar color by providing further context. Lime-colored background indicates a potential bearish condition, while fuchsia-colored background suggests a potential bullish condition. The transparency level of the background color is set to 80% to avoid obscuring the price chart while still providing a visual reference.
To provide additional confirmation for mean reversion setups, the indicator incorporates the option to use the Relative Strength Index (RSI) as a confluence factor. The RSI is a popular momentum oscillator that measures the speed and change of price movements. When enabled, the indicator checks if the RSI is in overbought territory (above 70) or oversold territory (below 30), providing additional confirmation for potential mean reversion setups.
In addition to visual signals, the indicator includes entry arrows above or below the bars to highlight the occurrence of short or long entries. When the price is above the upper band and the confluence condition is met, a fuchsia-colored triangle-up arrow is displayed above the bar, indicating a potential short entry signal. Similarly, when the price is below the lower band and the confluence condition is met, a lime-colored triangle-down arrow is displayed below the bar, indicating a potential long entry signal.
Traders can customize the indicator's parameters according to their trading preferences. The "Lookback Period" determines the number of periods used in calculating the mean line and the average true range (ATR). Adjusting this parameter can affect the sensitivity and responsiveness of the indicator. Smaller values make the indicator more reactive to short-term price movements, while larger values smooth out the indicator and make it less responsive to short-term fluctuations. The "Multiplier" parameter determines the distance between the mean line and the upper/lower bands. Increasing the multiplier widens the bands, indicating a broader range for potential mean reversion opportunities, while decreasing the multiplier narrows the bands, indicating a tighter range for potential mean reversion opportunities.
It's important to note that the Volatility-Based Mean Reversion Bands indicator is not a standalone trading strategy but rather a tool to assist traders in identifying potential mean reversion setups. Traders should consider using additional analysis techniques and risk management strategies to make informed trading decisions. Additionally, the indicator's performance may vary across different market conditions and instruments, so it's advisable to conduct thorough testing and analysis before integrating it into a trading strategy.
