RSI Divergence + Sweep + Signal + Alerts Toolkit [TrendX_]The RSI Toolkit is a powerful set of tools designed to enhance the functionality of the traditional Relative Strength Index (RSI) indicator. By integrating advanced features such as Moving Averages, Divergences, and Sweeps, it helps traders identify key market dynamics, potential reversals, and newly-approach trading stragies.
The toolkit expands on standard RSI usage by incorporating features from smart money concepts (Just try to be creative 🤣 Hope you like it), providing a deeper understanding of momentum, liquidity sweeps, and trend reversals. It is suitable for RSI traders who want to make more informed and effective trading decisions.
💎 FEATURES
RSI Moving Average
The RSI Moving Average (RSI MA) is the moving average of the RSI itself. It can be customized to use various types of moving averages, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Moving Average (RMA), and Volume-Weighted Moving Average (VWMA).
The RSI MA smooths out the RSI fluctuations, making it easier to identify trends and crossovers. It helps traders spot momentum shifts and potential entry/exit points by observing when the RSI crosses above or below its moving average.
RSI Divergence
RSI Divergence identifies discrepancies between price action and RSI momentum. There are two types of divergences: Regular Divergence - Indicates a potential trend reversal; Hidden Divergence - Suggests the continuation of the current trend.
Divergence is a critical signal for spotting weakness or strength in a trend. Regular divergence highlights potential trend reversals, while hidden divergence confirms trend continuation, offering traders valuable insights into market momentum and possible trade setups.
RSI Sweep
RSI Sweep detects moments when the RSI removes liquidity from a trend structure by sweeping above or below the price at key momentum level crossing. These sweeps are overlaid on the RSI chart for easier visualized.
RSI Sweeps are significant because they indicate potential turning points in the market. When RSI sweeps occur: In an uptrend - they suggest buyers' momentum has peaked, possibly leading to a reversal; In a downtrend - they indicate sellers’ momentum has peaked, also hinting at a reversal.
(Note: This feature incorporates Liquidity Sweep concepts from Smart Money Concepts into RSI analysis, helping RSI traders identify areas where liquidity has been removed, which often precedes a trend reversal)
🔎 BREAKDOWN
RSI Moving Average
How MA created: The RSI value is calculated first using the standard RSI formula. The MA is then applied to the RSI values using the trader’s chosen type of MA (SMA, EMA, RMA, or VWMA). The flexibility to choose the type of MA allows traders to adjust the smoothing effect based on their trading style.
Why use MA: RSI by itself can be noisy and difficult to interpret in volatile markets. Applying moving average would provide a smoother, more reliable view of RSI trends.
RSI Divergence
How Regular Divergence created: Regular Divergence is detected when price forms HIGHER highs while RSI forms LOWER highs (bearish divergence) or when price forms LOWER lows while RSI forms HIGHER lows (bullish divergence).
How Hidden Divergence created: Hidden Divergence is identified when price forms HIGHER lows while RSI forms LOWER lows (bullish hidden divergence) or when price forms LOWER highs while RSI forms HIGHER highs (bearish hidden divergence).
Why use Divergence: Divergences provide early warning signals of a potential trend change. Regular divergence helps traders anticipate reversals, while hidden divergence supports trend continuation, enabling traders to align their trades with market momentum.
RSI Sweep
How Sweep created: Trend Structure Shift are identified based on the RSI crossing key momentum level of 50. To track these sweeps, the indicator pinpoints moments when liquidity is removed from the Trend Structure Shift. This is a direct application of Liquidity Sweep concepts used in Smart Money theories, adapted to RSI.
Why use Sweep: RSI Sweeps are created to help traders detect potential trend reversals. By identifying areas where momentum has exhausted during a certain trend direction, the indicator highlights opportunities for traders to enter trades early in a reversal or continuation phase.
⚙️ USAGES
Divergence + Sweep
This is an example of combining Devergence & Sweep in BTCUSDT (1 hour)
Wait for a divergence (regular or hidden) to form on the RSI. After the divergence is complete, look for a sweep to occur. A potential entry might be formed at the end of the sweep.
Divergences indicate a potential trend change, but confirmation is required to ensure the setup is valid. The RSI Sweep provides that confirmation by signaling a liquidity event, increasing the likelihood of a successful trade.
Sweep + MA Cross
This is an example of combining Devergence & Sweep in BTCUSDT (1 hour)
Wait for an RSI Sweep to form then a potential entry might be formed when the RSI crosses its MA.
The RSI Sweep highlights a potential turning point in the market. The MA cross serves as additional confirmation that momentum has shifted, providing a more reliable and more potential entry signal for trend continuations.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Analisis Trend
HPDR Bands IndicatorThe HPDR Bands indicator is a customizable tool designed to help traders visualize dynamic price action zones. By combining historical price ranges with adaptive bands, this script provides clear insights into potential support, resistance, and midline levels. The indicator is well-suited for all trading styles, including trend-following and range-bound strategies.
Features:
Dynamic Price Bands: Calculates price zones based on historical highs and lows, blending long-term and short-term price data for responsive adaptation to current market conditions.
Probability Enhancements: Includes a probability plot derived from the relative position of the closing price within the range, adjusted for volatility to highlight potential price movement scenarios.
Fibonacci-Like Levels: Highlights key levels (100%, 95%, 88%, 78%, 61%, 50%, and 38%) for intuitive visualization of price zones, aiding in identifying high-probability trading opportunities.
Midline Visualization: Displays a midline that serves as a reference for price mean reversion or breakout analysis.
How to Use:
Trending Markets: Use the adaptive upper and lower bands to gauge potential breakout or retracement zones.
Range-Bound Markets: Identify support and resistance levels within the defined price range.
Volatility Analysis: Observe the probability plot and its sensitivity to volatility for informed decision-making.
Important Notes:
This script is not intended as investment advice. It is a tool to assist with market analysis and should be used alongside proper risk management and other trading tools.
The script is provided as-is and without warranty. Users are encouraged to backtest and validate its suitability for their specific trading needs.
Happy Trading!
If you find this script helpful, consider sharing your feedback or suggestions for improvement. Collaboration strengthens the TradingView community, and your input is always appreciated!
RM - VWMA -> ZscoreRM - VWMA -> Zscore Indicator
The VWMA -> Zscore Indicator blends volume-weighted moving averages (VWMA) with Z-score analysis, offering traders a robust method to evaluate market dynamics and identify momentum shifts with precision.
Key Features
Volume-Weighted Moving Average (VWMA):
Incorporates price and True Range (TR) for weighted averages.
Smoothing option with triple exponential moving average (TEMA) for cleaner signals.
Z-Score Analysis:
Quantifies deviations of VWMA from the mean using standard deviation.
Detects overbought (positive Z-scores) or oversold (negative Z-scores) conditions.
Diversified VWMA Inputs:
Applies VWMA across multiple lengths (+/- offsets) to reflect short-term and long-term trends.
Averages results for a comprehensive market assessment.
Dynamic Bar Visualization:
Customizable red or green bars based on trend direction.
Gradient intensity reflects Z-score strength.
How It Works
VWMA Calculation:
Utilizes price and True Range to calculate VWMA, factoring in both volume and volatility.
Optional smoothing reduces noise for a refined display.
Z-Score Conversion:
Converts VWMA data into Z-scores for relative strength measurement.
Positive Z-scores suggest bullish pressure.
Negative Z-scores indicate bearish pressure.
Scoring Mechanism:
Evaluates multiple VWMA inputs for directional trends.
Aggregates scores into an average for overall market.
Bar Coloring:
Red or green bars represent market conditions (bullish or bearish).
Gradient bar colors show the strength of Z-score deviations.
How to Use
Spot Momentum Shifts:
Monitor Z-scores crossing above or below 0 for potential trend reversals.
Confirm Market Trends:
Use bar colors and average scores to validate market direction.
Green bars indicate upward momentum; red bars signal downward momentum.
Customization Options:
Adjust VWMA lengths, Z-score lengths, and smoothing settings to fit your strategy.
Enable or disable specific bar color options for visual preference.
Example Use Cases
Trend Confirmation:
Validate the market direction before entering a trade.
Reversal Points:
Identify overbought/oversold zones using extreme Z-score values.
Market Pressure Visualization:
Use gradient colors to gauge the intensity of buying or selling pressure.
Disclaimer
The VWMA -> Zscore Indicator is a tool for technical analysis and does not provide guaranteed results. Always complement its insights with other indicators and risk management practices.
Awesome Oscillator Twin Peaks Strategy
1. The indicator identifies both bullish and bearish twin peaks:
- Bullish: Two consecutive valleys below zero, where the second valley is higher than the first
- Bearish: Two consecutive peaks above zero, where the second peak is lower than the first
2. Visual elements:
- AO histogram with color-coding for increasing/decreasing values
- Triangle markers for confirmed twin peak signals
- Zero line for reference
- Customizable colors through inputs
3. Built-in safeguards:
- Minimum separation between peaks to avoid false signals
- Maximum time window for pattern completion
- Clear signal reset conditions
4. Alert conditions for both bullish and bearish signals
To use this indicator:
1. Add it to your TradingView chart
2. Customize the input parameters if needed
3. Look for triangle markers that indicate confirmed twin peak patterns
4. Optional: Set up alerts based on the signal conditions
Ichimoku ACE ClubA. Overview:
This script is a custom implementation of the Ichimoku Cloud indicator for the TradingView platform, built using Pine Script version 4. It adds additional features like custom "Knife" lines and circle markers for specific data points. The indicator overlays on the chart and plots various elements of the Ichimoku system, including the Tenkan, Kijun, Chikou, and Kumo Cloud.
B. Inputs:
1. Tenkan (TS): This is the short-term moving average line (default period: 9).
2. Kijun (KJ): This is the medium-term moving average line (default period: 17).
3. Knife1 (K1): This line is based on a longer-term moving average (default period: 65).
4. Knife2 (K2): Another long-term moving average line (default period: 129).
5. Chikou Displacement (Chikou_Disp): The Chikou Span is plotted with a delay of 26 periods by default.
6. Displacement (disp): Determines the horizontal shift of the Kumo cloud.
C. Functions:
- `donchian(len)`: This function calculates the Donchian channel, which is the average of the highest high and the lowest low over the given period (len).
- `mf(len, offset)`: This function calculates the highest high and the lowest low over the given period, with an offset applied.
D. Plots:
1. Tenkan, Kijun, Knife1, and Knife2: These are plotted as lines with different colors and thicknesses.
- Tenkan is blue.
- Kijun is red.
- Knife1 is yellow.
- Knife2 is orange.
2. Chikou Span: This is plotted with a displacement and shown in purple.
3. Kumo Cloud: The cloud is formed by plotting two lines, Span A (green) and Span B (magenta), which represent the top and bottom of the cloud, respectively. The space between these lines is filled with a semi-transparent color, either green or magenta, depending on the relative position of the two spans.
E. Circle Markers:
- Additional circle markers are plotted for each of the Tenkan, Kijun, Knife1, and Knife2 lines at various offsets, helping to visualize the historical data points for each of these indicators. These circles are color-coded according to the line they correspond to.
F. Customization:
- The indicator allows customization of the lengths (periods) for Tenkan, Kijun, Knife1, Knife2, and other components via the script's input fields.
G. Conclusion:
This Ichimoku-based indicator provides a detailed view of the market's trend strength and direction. It offers a unique addition with the Knife lines and visual aids like circle markers for specific periods, which helps traders make better-informed decisions based on Ichimoku analysis.
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You can modify the parameters such as `TS`, `KJ`, `K1`, `K2`, and `disp` according to your trading preferences. The colors and line thicknesses can also be adjusted for better visual representation.
Magic Candles PRO [MW]The Magic Candles indicator provides users with low risk/high reward entries on small candles with big volume. It uses calculations that uniquely define high volume/low price movement (volume hammer) candles and engulfing pattern candles. In theory, measuring a volume hammer candle seems relatively simple, but it is in the definition of high and low with respect to volume and price movement, and with respect to each other that requires a novel method of defining the relationship. The definition that is ultimately used gives users the ability to identify candles that typically precede large price movements, because the volume necessary to drive the price exists by definition even though it is not reflected in the size of the current candle.
Similarly, engulfing candle patterns are useful because they show an acceleration of price movement from the previous candle. The difficulty in calculating engulfing candles, as with volume hammer candles, is in the interpretation of candle size, or “engulfing”. In many cases, engulfing simply means that a candle has reversed direction from the previous candle, and the body of the previous candle sits between the open and close of the new candle. Sometimes wicks are used, sometimes they aren’t. Our differentiation is that we allow the user to change “engulfing” to their preference, so that it can include candle bodies, full candles, dojis, and candle patterns where the body of the previous candle is not necessarily in between the open and close of the new candle. It also uses a double stochastic calculation on ATRs that filter out engulfing candles that may not be as meaningful.
Settings
Volume Hammer Candles
ATR Period: The ATR period that is used to compare the candle size against. (Default: 5)
Candle Portion to Use: The candle size can be defined as just the body, or the entire candle. (Default: Candle Body)
Volume Absorption Threshold: The threshold for the volume ratio relative to the candle size ratio. (Default: 4.5)
Volume ATR Period: The ATR period that is used to compare the volume against. (Default: 3)
3 Consecutive Volume increases and 3 Bullish Candles: (Default: ON)
3 Consecutive Volume Increases and 3 Bearish Candles: (Default: ON)
2 Consecutive Volume increases Prior to Current Candle: (Default: ON)
Engulfing Pattern Candles
Show Engulfing Candles: (Default: ON)
Include Candle Wicks in Calculation: (Default: ON)
Show Bullish Candles: (Default: ON)
Show Bearish Candles: (Default: ON)
Use Dojis for Reversed Candles: Typically engulfing candles are compared against candles that are in the opposite direction of the new candle. However, dojis, or candles with small candle bodies and relatively large wicks, can be optionally used to measure against. (Default: OFF)
ATR Period 1: We use 2 levels of stochastic calculation to compare against in order to determine if an engulfing candle is valid. This is the shorter period ATR. (Default: 14)
ATR Period 2: The 2nd of 2 ATR periods used in a 2-level stochastic calculation that’s used to evaluate valid engulfing candles. (Default: 21)
Stochastic Period: The Stochastic Period used for both levels of ATR calculations. (Default: 14)
Smoothing: The period used to “smooth” the stochastic curves. (Default: 3)
Calculations
This indicator uses a comparison between relative volume (raw volume compared to its average true range) and relative price action as determined by candle size (specifically, candle size compared to the average true range of the candle size). The ratio between the relative volume and relative price action are compared as a ratio. Once that ratio hits a defined threshold a signal is generated in the form of a bright yellow bar, which we refer to as a “volume hammer”, because of the heavy volume acting on an unmoving object (price).
The indicator also identifies engulfing candle patterns by
Determining the candle body size or full candle size.
Checking to see if there was a reversal of direction, or checking to see if the first candle was a doji (small body with relatively large wicks).
Calculating the stochastic ATR patterns across two periods in order to normalize the ATR behavior for comparison.
Calculating the delta between those stochastic ATRs
Calculating the stochastic patterns of the delta between the stochastic ATRs to add further sensitivity to the comparison between candles.
How to Use
Volume Hammer
When a bright yellow bar appears in the lower window it means that the ratio of relative volume to relative price movement is very high, which indicates that a volatile move will occur within the next candle or so. In this scenario using a small risk that is not much larger than the candle itself can be paired with a large reward/risk ratio when setting a take profit target.
For example, if the body of a candle has a range of less than $0.02 and the full candle is less than $0.10 in range, then a $0.10 stop can be used with the expectation that the large volume will generate a volatile move in one direction or the other. The expected move is generally 3x the size of the full candle, but typically more.
Sometimes, however, that 3x move will reverse and turn into even a larger move in the opposite direction if a key support or resistance level is hit. So, it is very useful to use this indicator with a tool that can identify key support/demand zones and resistance/supply zones such as the Magic Order Blocks or QQQ and SPY Price Levels for equities based on the NASDAQ and S&P 500. It can also be combined with indicators that provide upper and lower bounds like Magic Linear Regression Channel , ATR Bands (Keltner Channel) Wick and SRSI Signals , and/or Bollinger Band Wick and SRSI Signals .
Additionally, the bright yellow candles have color-coded indicators that reflect the behavior of preceding volume behavior.
- Orange Dot - 3 consecutive candles of increasing volume
- Green Dot - 3 consecutive candles of increasing volume with a bullish candle pattern
- Red Dot - 3 consecutive candles of increasing volume with a bearish candle pattern
- Blue Dot - 2 consecutive candles of increasing volume followed by a candle with volume that is greater than the starting candle.
These only reflect the volume and candle pattern. They can provide insight, but should not be used as buy or sell signals, especially when encountered at key price levels.
Engulfing Candle Pattern
Frequently, the bright yellow bar in the lower window will be followed by an engulfing candle in the main chart. Engulfing candle patterns can themselves be useful on their own in a market that is not highly volatile. They tend to be indicative of price reversals, or trend continuations following consolidation. Following an engulfing candle, risk can be set at the “far end” of the candle with the expectation that if it does accurately define the direction, then the price will be less likely to go back to the candle’s starting price.
Other Usage Notes and Limitations
Occasionally a large gray bar will appear that is above the relative volume to relative candle size threshold. This indicates that although there is little price movement when compared to the volume, the actual volume is trailing off. This could lead to a quick move in a bullish or bearish direction, but it potentially would not be as sustained as in the case where volume has been consistently rising.
There are also faded yellow bars that appear when volume is increasing when the relative price movement is small. However, when the ratio of the relative volume is not large enough when compared to the price movement (i.e. it does not meet the threshold requirement) its color remains a dim yellow color.
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
Trend Battery [Phantom]Trend Battery
Visualize Trend Strength with a Dynamic EMA Power Gauge
OVERVIEW
The Trend Battery indicator offers a clear, visual representation of trend strength based on the alignment of multiple Exponential Moving Averages (EMAs). It assigns a color-coded score to each bar, helping traders quickly assess the prevailing trend's power and direction.
CONCEPT
• Trend Strength Using EMAs: The indicator analyzes the alignment of 20 EMAs (8 to 200 periods) to gauge trend strength. The more EMAs align, the stronger the trend.
• Gradient-Based Visualization: Scores are mapped to a color gradient, transitioning from green (bullish) to purple (bearish), providing an intuitive visual representation of trend momentum.
HOW IT WORKS
Trend Battery calculates 20 EMAs and evaluates their alignment. When EMAs align in a strong trend, the bar colors change (as displayed in battery color key on chart) displaying a spectrum of colors from bright green (strong uptrend) to deep purple (strong downtrend).
• Dynamic Bar Colors:
o Green hues: Strong bullish trends.
o Purple hues: Strong bearish trends.
o Red hues: Weaker trends or potential transitions.
FEATURES
• Dynamic Color Coding: Easy-to-read and instantly assess trend.
• Customizable Transparency: Adjust bar color opacity to your preference.
• Optional EMA Display: Toggle individual EMA lines on/off for additional context.
• Compact Battery View: Quick reference table displaying the gradient color mapping.
SETTINGS
• Transparency: Controls the opacity of bar colors.
• Show EMAs on Chart: Enables/disables plotting of EMA lines.
USAGE
• Identify trend strength and direction.
• Confirm trend reversals or continuations.
• Complement other indicators and strategies.
• Monitor multi-timeframe trends.
TRADE IDEAS:
• For larger timeframes purple hues can be used for accumulating and green hues for distribution.
• For smaller timeframes, color transitions could be a signal for trend reversal, or corrections.
• It is a good idea to use larger timeframes for overall trend directions, and smaller timeframes for entries.
LIMITATIONS
• Lagging Indicator: As the Trend Battery relies on Exponential Moving Averages (EMAs), it is inherently a lagging indicator. This means it reflects past price action and may not always provide timely signals for rapid market changes or sudden reversals.
• False Signals in Sideways Markets: In ranging or consolidating markets, the indicator may produce mixed signals (frequent color changes) as EMAs intertwine without a clear trend. This can lead to false interpretations if not considered alongside other market context indicators.
• Not a Standalone System: The Trend Battery is designed to be a visual aid and should not be used as the sole basis for trading decisions. It's most effective when combined with other technical analysis tools, such as oscillators, support/resistance levels, and fundamental analysis.
DISCLAIMER
Use the Trend Battery indicator in conjunction with other forms of analysis and risk management. Past performance is not indicative of future results.
Bitcoin Premium [SAKANE]Overview
"Bitcoin Premium " is an indicator designed to analyze the price differences (premiums) of Bitcoin between major exchanges. By using this tool, you can visualize these differences and trends across exchanges, helping you make more informed trading decisions.
Features
1. Premium Calculation and Display
- Calculates and visualizes the price differences between major exchanges like Coinbase, Bitfinex, Upbit, and Binance.
- Premiums are displayed in a histogram format for intuitive analysis.
2. Forex Rate Adjustment
- Prices quoted in KRW (e.g., from Upbit) are converted to USD using real-time KRW/USD forex rates.
3. Moving Average Option
- Displays moving averages (SMA or EMA) of premiums for a clearer view of long-term trends.
4. Customizable Settings
- Toggle the premium display for each exchange on or off.
- Includes label displays to support visual analysis.
What Can It Do for You?
1. Identify Arbitrage Opportunities
By observing price differences (premiums) between exchanges, you can identify arbitrage opportunities.
Example: If Bitcoin is cheaper on Binance and more expensive on Coinbase, you could buy on Binance and sell on Coinbase to capture the price difference.
2. Understand Regional Supply and Demand Trends
Each exchange's premium reflects the supply and demand dynamics of its respective region.
Example: A high premium on Upbit may indicate excess demand or regulatory impacts in the South Korean market.
3. Analyze Liquidity
Price differences often highlight liquidity disparities between exchanges. Markets with lower trading volumes tend to have larger premiums due to price distortions.
4. Evaluate Macroeconomic Impacts
Premium movements may reflect changes in macroeconomic factors, such as exchange rates, regulations, or financial conditions specific to each region.
5. Analyze Trends and Market Sentiment
By tracking premium trends, you can gauge market sentiment and understand regional or exchange-specific behaviors to inform your investment decisions.
6. Support Strategic Trading
This tool is useful for short-term arbitrage strategies as well as long-term evaluations of market health.
Exchange Characteristics and Premium Implications
The meaning of premiums varies by exchange.
- Coinbase (US Market)
Primarily used by investors buying directly with fiat currency (USD). A higher premium often signals bullish sentiment among institutional and retail investors.
- Bitfinex (Global Market)
A trader-focused exchange with active large-scale and leveraged trading. Premiums may reflect liquidity and risk appetite.
- Upbit (South Korean Market)
Priced in KRW, making it subject to forex rates and local market dynamics. High premiums may indicate strong demand or regulatory influences in South Korea.
- Binance (Global Market)
The largest exchange by trading volume. Premiums here are often a reflection of the overall market balance.
Notes
- This indicator is for reference only and does not guarantee trading decisions.
- Please consider the characteristics and conditions of each exchange when using this tool.
Trend Trader-Remastered StrategyOfficial Strategy for Trend Trader - Remastered
Indicator: Trend Trader-Remastered (TTR)
Overview:
The Trend Trader-Remastered is a refined and highly sophisticated implementation of the Parabolic SAR designed to create strategic buy and sell entry signals, alongside precision take profit and re-entry signals based on marked Bill Williams (BW) fractals. Built with a deep emphasis on clarity and accuracy, this indicator ensures that only relevant and meaningful signals are generated, eliminating any unnecessary entries or exits.
Please check the indicator details and updates via the link above.
Important Disclosure:
My primary objective is to provide realistic strategies and a code base for the TradingView Community. Therefore, the default settings of the strategy version of the indicator have been set to reflect realistic world trading scenarios and best practices.
Key Features:
Strategy execution date&time range.
Take Profit Reduction Rate: The percentage of progressive reduction on active position size for take profit signals.
Example:
TP Reduce: 10%
Entry Position Size: 100
TP1: 100 - 10 = 90
TP2: 90 - 9 = 81
Re-Entry When Rate: The percentage of position size on initial entry of the signal to determine re-entry.
Example:
RE When: 50%
Entry Position Size: 100
Re-Entry Condition: Active Position Size < 50
Re-Entry Fill Rate: The percentage of position size on initial entry of the signal to be completed.
Example:
RE Fill: 75%
Entry Position Size: 100
Active Position Size: 50
Re-Entry Order Size: 25
Final Active Position Size:75
Important: Even RE When condition is met, the active position size required to drop below RE Fill rate to trigger re-entry order.
Key Points:
'Process Orders on Close' is enabled as Take Profit and Re-Entry signals must be executed on candle close.
'Calculate on Every Tick' is enabled as entry signals are required to be executed within candle time.
'Initial Capital' has been set to 10,000 USD.
'Default Quantity Type' has been set to 'Percent of Equity'.
'Default Quantity' has been set to 10% as the best practice of investing 10% of the assets.
'Currency' has been set to USD.
'Commission Type' has been set to 'Commission Percent'
'Commission Value' has been set to 0.05% to reflect the most realistic results with a common taker fee value.
Pattern Pro VPOCSummary:
This indicator combines multi-timeframe pattern detection (triangles and wedges), Volume Point of Control (VPOC) visualization, predictive volume modeling, and a swing-based VWAP. It provides traders with a detailed view of key trading patterns, high-volume levels, and entry/exit opportunities, all integrated into one powerful tool.
How This Script is Unique:
Multi-Timeframe Pattern Analysis:
Identifies chart patterns like triangles and wedges across multiple timeframes, enhancing the trader's ability to spot actionable opportunities.
Dynamically tracks pivot points and projected trendlines to visualize ongoing and potential patterns.
Volume Point of Control (VPOC):
Automatically calculates and plots the VPOC for detected patterns, highlighting the price level with the highest traded volume.
Helps identify strong support/resistance levels within patterns.
Predictive Volume Modeling:
Predicts high-volume trading times based on historical averages, allowing traders to anticipate periods of increased market activity.
Bars are color-coded to reflect projected volume activity.
Swing-Based VWAP:
Incorporates swing highs and lows into VWAP calculations, making it adaptive to current market conditions.
Offers a more dynamic view compared to traditional static VWAP indicators.
Trade Management Features:
Visualizes stop-loss (SL) and take-profit (TP) levels directly on the chart.
Tracks active trades and peak performance, enabling effective trade management.
Customizability:
Offers user-defined settings for timeframe selection, risk management, and volume modeling, making it adaptable to various trading strategies.
How to Use:
Pattern Detection:
The script automatically identifies triangle and wedge patterns. No manual input is needed for detection.
Patterns are displayed with top and bottom trendlines and the associated VPOC.
Volume Modeling:
Enable "Use Predictive Volume" under the Predictive Volume settings to highlight periods of projected high activity.
Customize the moving average period and date range for better precision.
Swing-Based VWAP:
Enable "Use VWAP" and configure the anchor period to suit your trading timeframe (e.g., Session, Week, Month).
The VWAP adapts dynamically to swings for precise insights.
Risk Management:
Adjust initial risk, multiplier, and drawdown limits under Risk Management settings.
Visual SL and TP boxes make it easy to monitor trade progress.
Alerts:
Enable "Pattern Alert" to receive notifications for detected patterns.
Use "Trade Alert" to get notified of potential entry opportunities.
Custom Inputs:
Customize "Lookback Bars for VPOC" to define how far back the indicator searches for volume data.
Modify "Row Size" and "POC Settings" for precise VPOC plotting.
Related Links:
Swing-Based VWAP
Intraday Predictive High-Volume Activity Sessions
Trade Settings:
Pattern Timeframe Input:
Select the timeframe used for detecting patterns (e.g., Chart, 15m, 1H).
Use: Helps identify patterns specific to the selected timeframe.
Bars to Entry:
Defines the number of bars within which a trade should be entered after a pattern is detected.
Use: Ensures timely entries based on identified patterns.
Plot Peak Profit:
Toggles the visualization of the peak profit level for trades.
Use: Helps monitor the maximum potential profit from a trade.
Use Close of Candle Above/Below Top/Bottom Line:
When enabled, the script uses the close of the candle instead of wicks to determine line breakouts.
Use: Ensures more precise break detection for pattern confirmation.
Pattern VPOC Settings:
Lookback Bars for VPOC:
Specifies the number of bars to analyze for calculating the Volume Point of Control (VPOC).
Use: Adjusts the depth of data analyzed for VPOC determination.
Row Size:
Determines the granularity of VPOC calculations. Higher values result in finer divisions.
Use: Fine-tune VPOC plotting for greater precision.
Pattern VPOC Color:
Sets the color of the VPOC line on the chart.
Use: Customize chart aesthetics for better visibility.
Width:
Adjusts the thickness of the VPOC line.
Use: Makes the line more prominent on the chart.
Risk Management:
Initial Risk:
Specifies the base risk amount for each trade.
Use: Helps determine the trade size based on risk tolerance.
Risk Increment Type:
Selects whether risk increments are linear or exponential after consecutive losses.
Use: Adjusts risk dynamically to manage losses effectively.
Multiplier:
Multiplies the risk in exponential mode to calculate the next risk value after a loss.
Use: Defines the growth factor for exponential risk.
Max Drawdown:
Sets the maximum drawdown value before halting trading.
Use: Protects against significant capital depletion.
Initial Capital:
Specifies the starting capital for performance calculations.
Use: Helps measure performance and calculate drawdown percentages.
Alert Settings:
Trade Alert:
Enables alerts for detected trade setups.
Use: Keeps the user notified about potential trade opportunities.
Pattern Alert:
Enables alerts for detected patterns.
Use: Provides immediate notification when a pattern is identified.
Predictive Volume:
Use Predictive Volume:
Toggles the predictive volume modeling feature.
Use: Highlights projected high-volume periods for better timing.
Select Timeframe for Predictive Volume:
Defines the timeframe for predictive volume analysis.
Use: Allows predictive modeling to align with the user's trading style.
MA Average Periods:
Sets the moving average length for volume prediction.
Use: Smoother or more responsive predictive models based on user preference.
Date Range:
Specifies the historical range used for volume analysis.
Use: Limits the scope of volume data for calculations.
VWAP Settings:
Use VWAP:
Toggles the VWAP calculation and plotting.
Use: Tracks the average price weighted by volume to find key price levels.
Hide VWAP on 1D or Above:
Hides VWAP plots on daily or higher timeframes.
Use: Avoids clutter on charts with higher timeframes.
Anchor Period:
Sets the anchor period for VWAP calculation (e.g., Session, Week, Month).
Use: Aligns VWAP with the selected timeframe.
Source:
Defines the price source for VWAP calculation (default: hlc3).
Use: Adjusts VWAP based on the preferred price type.
Offset:
Adjusts the VWAP line's placement by the specified number of bars.
Use: Moves the VWAP line forward or backward for better visual alignment.
Swing Size:
Defines the sensitivity for detecting swing highs and lows in VWAP calculations.
Use: Refines VWAP calculations to match market swings.
Inside Bar Multi-Currency ScannerDescription:
This script is an Inside Bar Scanner that allows you to monitor multiple currency pairs across different timeframes (15 minutes, 1 hour, and 4 hours). Its main features include:
Inside Bar Detection:
An Inside Bar is a candlestick where both the High and Low are within the range of the previous candle.
The script automatically identifies Inside Bars and displays the results in a table.
Customizable Timeframes:
Supports scanning in 15-minute, 1-hour, and 4-hour timeframes.
Results are displayed for each timeframe separately.
Multi-Currency Support:
Scan up to 10 currency pairs simultaneously.
Currency pairs are customizable and selected by the user.
Candle Coloring:
Inside Bars are highlighted with colors:
Semi-transparent green for bullish Inside Bars.
Semi-transparent red for bearish Inside Bars.
Colors are customizable and selected by the user.
Alerts:
Custom alerts for detecting Inside Bars in selected timeframes.
Receive notifications when an Inside Bar is detected in any of the selected currency pairs.
How to Use:
Select your desired currency pairs from the Scanner Currencies section.
Enable your preferred timeframes in the Scanner Timeframe section.
The script will display a table of results with Inside Bar information for each currency pair and timeframe.
Optionally, customize the candle colors in the Scanner InsideBar Color section.
Additional Explanation for Timeframe Status:
In each selected timeframe, there are three possible states for the candles:
Previous Candle is an Inside Bar:
Displayed with a green background and the symbol ✔.
Previous Candle is NOT an Inside Bar:
Displayed with a red background and the symbol ✘.
Current Candle is an Inside Bar:
Displayed with an orange background and the symbol ⌕.
These visual indicators provide a clear and quick overview of the Inside Bar status for each selected currency pair and timeframe.
Trend Or Range ?Are you uncertain whether the market is trending or stuck in a range? The "Trend or Range?" indicator is here to eliminate the guesswork by providing a structured, data-driven analysis of market conditions.
How It Works:
This indicator doesn't rely on a single metric; instead, it analyzes five core components of market behavior to provide two actionable scores: Trend Score and Range Score. Here's how each component is calculated and integrated:
1. NATR (Normalized ATR)
Purpose: Measures volatility relative to the current price. Higher values indicate active, trending markets, while lower values suggest quieter, range-bound conditions.
NATR = ATR / Close
ATR is the Average True Range over 14 periods (default setting).
2. ADX (Average Directional Index)
Purpose: Measures the strength of the trend. A higher ADX value indicates a stronger trend.
Explanation: ADX is calculated based on directional movement (+DI and -DI). It highlights the strength of the trend, regardless of direction.
3. Slope
Purpose: Tracks the rate of change in price over a fixed period (14 by default) to identify momentum strength. A steeper slope indicates stronger trends.
Slope = abs((Close - Close ) / 14)
This measures the absolute price change over 14 bars, normalized by time.
4. RSI Stability
Purpose: Measures the consistency of the RSI (Relative Strength Index) over time, highlighting mean-reverting behavior.
RSI Stability = stdev(RSI, 14)
This calculates the standard deviation of RSI values over 14 periods.
5. Deviation Index
Purpose: Quantifies the price's deviation from its 14-period simple moving average (SMA). This highlights overextension, which is common in range-bound markets.
Deviation Index = (Close - SMA(14)) / SMA(14)
Positive values indicate price above the SMA, while negative values show it below.
Scoring System
Trend Score Calculation
The Trend Score is a weighted sum of metrics that favor trending markets:
30% NATR: High volatility is a hallmark of trends.
30% ADX: A proven measure of trend strength.
40% Slope: Directly measures momentum.
Trend Score = (0.3 * NATR) + (0.3 * ADX) + (0.4 * Slope)
Range Score Calculation
The Range Score emphasizes mean-reverting behavior:
40% RSI Stability: Captures consistent RSI values common in ranges.
40% Inverse NATR: Low volatility favors range-bound markets.
20% Deviation Index: Measures overextension from the mean.
Range Score = (0.4 * RSI Stability) + (0.4 * (1 / NATR)) + (0.2 * Deviation Index)
What You See on the Chart
Table Display: A user-friendly table appears on the chart, showing:
Real-time values of all five metrics.
Calculated Trend and Range Scores.
Color-coded signals:
Green for dominant Trend Score.
Red for dominant Range Score.
Data Plots: Each metric is plotted in the data window for further analysis.
Swing-Based VWAPSwing-Based VWAP
Summary:
The "Swing-Based VWAP" indicator enhances traditional VWAP calculations by incorporating swing-based logic. It dynamically adapts to market conditions by identifying key swing highs and lows and calculating VWAP levels around these pivot points. This makes it a versatile tool for traders seeking actionable price insights.
Explanation:
What is Swing-Based VWAP?
The Swing-Based VWAP is a modified version of the Volume-Weighted Average Price (VWAP). It calculates VWAP not only for a chosen timeframe (e.g., session, week) but also adapts dynamically to market swings. By identifying swing highs and lows, it offers more precise levels for potential price action.
Unique Features:
1. Dynamic Swing Integration:
- Uses pivot points to determine significant price levels.
- Calculates VWAP based on these points to adapt to market trends.
2. User-Friendly Settings:
- Includes options to hide VWAP on higher timeframes for chart clarity.
- Flexible swing size input for adjusting sensitivity.
How to Use:
1. Configuring Swing Settings:
- Use the "Swing Setting" input to determine the sensitivity of swing detection.
- Higher values identify broader swings, while smaller values capture more granular movements.
2. Enabling/Disabling VWAP:
- Toggle VWAP visibility using the "Use VWAP" option.
- The "Hide VWAP on 1D or Above" setting lets you control visibility on higher timeframes.
3. Anchor Period:
- Select your preferred anchoring period (e.g., session, week) to match your trading style.
4. Adjusting the Data Source:
- Use the "Source" input to select the price source (default: HLC3).
5. Visualizing Swing-Based VWAP:
- The script plots a dynamic VWAP line based on detected swing points.
- This line highlights average price levels weighted by volume and swing pivots.
Horizontal lines by AydmaxxIndicator Description: Horizontal Lines by Aydmaxx
This indicator plots customizable horizontal lines on the chart to assist with technical analysis. It allows traders to define a starting price and a step size (gap) between the lines, making it versatile for a variety of strategies, such as identifying support, resistance, or key price levels.
How to Use:
Starting Price (Bottom): Enter the price level where the first (lowest) line should begin. This is your base level.
Example: If you're analyzing a market with prices around 2550, you can set this value to 2550 to align the indicator with your focus.
Gap (Step Size): Specify the interval or step size between consecutive lines.
Example: If you want lines every 10 points, set this value to 10.
Number of Lines: Adjust the total number of lines to display on the chart.
Line Style and Width: Customize the appearance of the lines (solid, dashed, dotted) and their thickness.
Line Colors and Transparency: Choose primary and secondary colors for alternating lines, and adjust the transparency to match your visual preferences.
This indicator is ideal for visualizing price zones and can be tailored to suit any trading style. Adjust the parameters based on your market analysis to highlight key price levels effectively.
TS Aggregated Median Absolute DeviationTS Aggregated Median Absolute Deviation (MAD) Indicator Explanation
Overview
The TS Aggregated Median Absolute Deviation (MAD) is a powerful indicator designed for traders looking for momentum-based strategies. By aggregating the Median Absolute Deviation (MAD) across multiple timeframes, it provides a comprehensive view of market dynamics. This indicator helps identify potential reversal points, overbought/oversold conditions, and general market trends by leveraging the concept of MAD, which measures price dispersion from the median.
Signal Generation:
Long Signal: Triggered when the price moves above the aggregated upper band
Short Signal: Triggered when the price moves below the aggregated red band
Alerts:
Real-time alerts are integrated to notify the user of long or short signals when confirmed:
Long Signal Alert: "TS MAD Flipped ⬆LONG⬆"
Short Signal Alert: "TS MAD Flipped ⬇Short⬇"
Optimization:
Adjust thresholds, MAD lengths, and multipliers for each timeframe to suit the specific asset and market conditions.
Experiment with enabling/disabling MAD components to focus on particular timeframes.
Market Movement After OpenDescription:
This script provides a detailed visualization of market movements during key trading hours: the German market opening (08:00–09:00 UTC+1) and the US market opening (15:30–16:30 UTC+1). It is designed to help traders analyze price behavior in these critical trading periods by capturing and presenting movement patterns and trends directly on the chart and in an interactive table.
Key Features:
Market Movement Analysis:
Tracks the price movement during the German market's first hour (08:00–09:00 UTC+1) and the US market's opening session (15:30–16:30 UTC+1).
Analyzes whether the price moved up or down during these intervals.
Visual Representation:
Dynamically colored price lines indicate upward (green) or downward (red) movement during the respective periods.
Labels ("DE" for Germany and "US" for the United States) mark key moments in the chart.
Historical Data Table:
Displays the past 10 trading days' movement trends in an interactive table, including:
Date: Trading date.
German Market Movement: Up (▲), Down (▼), or Neutral (-) for 08:00–09:00 UTC+1.
US Market Movement: Up (▲), Down (▼), or Neutral (-) for 15:30–16:30 UTC+1.
The table uses color coding for easy interpretation: green for upward movements, red for downward, and gray for neutral.
Real-Time Updates:
Automatically updates during live trading sessions to reflect the most recent movements.
Highlights incomplete periods (e.g., ongoing sessions) to indicate their status.
Customizable:
Suitable for intraday analysis or broader studies of market trends.
Designed to overlay directly on any price chart.
Use Case:
This script is particularly useful for traders who focus on market openings, which are often characterized by high volatility and significant price movements. By providing a clear visual representation of historical and live data, it aids in understanding and capitalizing on market trends during these critical periods.
Notes:
The script works best when the chart is set to the appropriate timezone (UTC+1 for the German market or your local equivalent).
For precise trading decisions, consider combining this script with other technical indicators or trading strategies.
Feel free to share feedback or suggest additional features to enhance the script!
Percentile momentum | RocheurIntroducing Rocheur’s Percentile Rank Momentum Indicator
The Percentile Rank Momentum indicator is an innovative tool designed to analyze market momentum using a combination of percentile rank and standard deviation . This indicator identifies long and short signals by comparing the price to a dynamically calculated percentile threshold and its deviation, offering traders a powerful method to detect trends and potential reversals.
How It Works
The indicator uses the percentile rank function to determine the relative position of the current price within a specified range of historical prices.
A standard deviation is then applied to the percentile rank to calculate an upper and lower boundary for signal generation. The key logic is as follows:
Percentile Calculation: The percentile rank of the price is calculated over a user-defined length.
Deviation Threshold: A standard deviation is computed over another customizable period to create dynamic thresholds.
Signal Generation:
Long Signal: Triggered when the price closes above the percentile rank plus a multiple of the deviation.
Short Signal: Triggered when the price closes below the percentile rank minus a multiple of the deviation.
Visual Representation
The Percentile Rank Momentum indicator features a clean and intuitive visual interface with customizable color modes:
Green Bars: Represent bullish conditions, indicating a potential long signal.
Red Bars: Represent bearish conditions, suggesting a potential short signal.
Customization & Parameters
To suit various trading styles and market conditions, the Percentile Rank Momentum indicator offers the following adjustable parameters:
Source: Defines the input price (e.g., close, hl2).
Percentile Length: Default set to 25, this determines the lookback period for the
percentile rank calculation.
Deviation Length: Default set to 38, controls the sensitivity of the standard deviation used in thresholds.
Multiplier: Default set to 1.3, adjusts the weight of the deviation for long/short signal thresholds.
Percentile Percentage: Default set to 75, specifies the percentile level for ranking the price within the defined period.
Color Modes: Choose from eight unique color themes to personalize the visual appearance of the indicator.
Trading Applications
This versatile indicator can be applied in various trading scenarios, including:
Momentum Analysis: By identifying when prices move significantly beyond historical percentiles, the indicator highlights strong momentum conditions.
Risk Management: Clearly defined long and short signals help traders manage positions more effectively.
Final Note
Rocheur’s Percentile Rank Momentum indicator combines mathematical precision with visual clarity to provide a comprehensive view of market momentum. Its dynamic thresholds and customizable settings make it a flexible tool for traders seeking to refine their strategies. As with any indicator, thorough backtesting and parameter adjustments are essential for optimizing performance in different market conditions. This tool is designed to complement a robust trading plan and enhance decision-making for traders of all levels.
Enhanced Effort vs Result Analysis V.2How to Use in Trading
A. Confirm Breakouts
Check if the Effort-Result Ratio or Z-Score spikes above the Upper Band or Z > +2:
Suggests a strong, efficient price move.
Supports breakout continuation.
B. Identify Reversal or Exhaustion
Look for Effort-Result Ratio or Z-Score dropping below the Lower Band or Z < -2:
Indicates high effort but low price movement (inefficiency).
Often signals potential trend reversal or consolidation.
C. Assess Efficiency of Trends
Use Relative Efficiency Index (REI):
REI near 1 during a trend → Confirms strength (efficient movement).
REI near 0 → Weak or inefficient movement, likely signaling exhaustion.
D. Evaluate Volume-Price Relationship
Monitor the Volume-Price Correlation:
Positive correlation (+1): Confirms price is driven by volume.
Negative correlation (-1): Indicates divergence; price moves independently of volume (potential warning signal).
3. Example Scenarios
Scenario 1: Breakout Confirmation
Effort-Result Ratio spikes above the Upper Band.
Z-Score exceeds +2.
REI approaches 1.
Volume-Price Correlation is positive (near +1).
Action: Strong breakout confirmation → Trend continuation likely.
Scenario 2: Reversal or Exhaustion
Effort-Result Ratio drops below the Lower Band.
Z-Score is below -2.
REI approaches 0.
Volume-Price Correlation weakens or turns negative.
Action: Signals trend exhaustion → Watch for reversal or consolidation.
Scenario 3: Range-Bound Market
Effort-Result Ratio stays within the Bollinger Bands.
Z-Score remains between -1 and +1.
REI fluctuates around 0.5 (neutral efficiency).
Volume-Price Correlation hovers near 0.
Action: Normal conditions → Look for breakout signals before acting.
*IMPORTANT*
There is a problem with the overlay ... How to fix some of it
The Standard Deviation bands dont work while the other variable activated so Id suggest deselecting them. The fix for this is to make sure you have the background selected and by doing this it will highlight on the chart ( you may need to increase the opacity ) when the bands ( Second standard deviation) are touched.
- Also you can use them all at once if you can but you do not need to
Market Flow Volatility Oscillator (AiBitcoinTrend)The Market Flow Volatility Oscillator (AiBitcoinTrend) is a cutting-edge technical analysis tool designed to evaluate and classify market volatility regimes. By leveraging Gaussian filtering and clustering techniques, this indicator provides traders with clear insights into periods of high and low volatility, helping them adapt their strategies to evolving market conditions. Built for precision and clarity, it combines advanced mathematical models with intuitive visual feedback to identify trends and volatility shifts effectively.
👽 How the Indicator Works
👾 Volatility Classification with Gaussian Filtering
The indicator detects volatility levels by applying Gaussian filters to the price series. Gaussian filters smooth out noise while preserving significant price movements. Traders can adjust the smoothing levels using sigma parameters, enabling greater flexibility:
Low Sigma: Emphasizes short-term volatility.
High Sigma: Captures broader trends with reduced sensitivity to small fluctuations.
👾 Clustering Algorithm for Regime Detection
The core of this indicator is its clustering model, which classifies market conditions into two distinct regimes:
Low Volatility Regime: Calm periods with reduced market activity.
High Volatility Regime: Intense periods with heightened price movements.
The clustering process works as follows:
A rolling window of data is analyzed to calculate the standard deviation of price returns.
Two cluster centers are initialized using the 25th and 75th percentiles of the data distribution.
Each price volatility value is assigned to the nearest cluster based on its distance to the centers.
The cluster centers are refined iteratively, providing an accurate and adaptive classification.
👾 Oscillator Generation with Slope R-Values
The indicator computes Gaussian filter slopes to generate oscillators that visualize trends:
Oscillator Low: Captures low-frequency market behavior.
Oscillator High: Tracks high-frequency, faster-changing trends.
The slope is measured using the R-value of the linear regression fit, scaled and adjusted for easier interpretation.
👽 Applications
👾 Trend Trading
When the oscillator rises above 0.5, it signals potential bullish momentum, while dips below 0.5 suggest bearish sentiment.
👾 Pullback Detection
When the oscillator peaks, especially in overbought or oversold zones, provide early warnings of potential reversals.
👽 Indicator Settings
👾 Oscillator Settings
Sigma Low/High: Controls the smoothness of the oscillators.
Smaller Values: React faster to price changes but introduce more noise.
Larger Values: Provide smoother signals with longer-term insights.
👾 Window Size and Refit Interval
Window Size: Defines the rolling period for cluster and volatility calculations.
Shorter windows: adapt faster to market changes.
Longer windows: produce stable, reliable classifications.
Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
EMA Squeeze RythmHere's a description of this indicator and its purpose:
This indicator is based on the concept of price consolidation and volatility contraction using multiple Exponential Moving Averages (EMAs). It primarily looks for "squeeze" conditions where the EMAs converge, indicating potential market consolidation and subsequent breakout opportunities.
Key Features:
1. Uses 8 EMAs (20-55 period) to measure price compression
2. Measures the distance between fastest (20) and slowest (55) EMAs in ATR units
3. Identifies four distinct states:
- PRE-SQZE: Initial convergence of EMAs
- SQZE: Tighter convergence
- EXT-SQZE: Extreme convergence (highest probability of breakout)
- RELEASE: EMAs begin to expand (potential breakout in progress)
Best Used For:
- Identifying potential breakout setups
- Finding periods of low volatility before explosive moves
- Confirming trend strength using higher timeframe analysis
- Trading mean reversion strategies during squeeze states
- Catching momentum moves during release states
The indicator works well on any timeframe but is particularly effective on 15M to 4H charts for most liquid markets. It includes higher timeframe analysis to help confirm the broader market context.
Quantum RSI Signals Suite [QuantAlgo]Introducing Quantum RSI Signals Suite 🎯💫
The Quantum RSI Signals Suite by QuantAlgo is a sophisticated technical indicator that combines statistical z-score analysis with enhanced trend following to identify market trends and reversals. This premium system integrates normalized RSI readings with multi-timeframe statistical measurements to help traders and investors identify trend direction and potential reversals. By evaluating both RSI dynamics and directional trend analysis together, this tool enables users to make data-driven trading decisions with statistical validation.
🌊 Indicator Architecture
The Quantum RSI Signals Suite provides a unique framework for assessing market trends through a blend of normalized RSI and dynamic trend-weighted z-score calculations. Unlike traditional RSI indicators that use fixed overbought/oversold levels, this system incorporates statistical measurements and directional trend analysis to adjust sensitivity automatically. By combining normalized RSI values with adaptive z-score zones and trend following analysis, it evaluates both current market conditions and historical context, while the statistical parameters ensure stable yet responsive signals. This quantum approach allows users to identify trending conditions while remaining aware of statistical extremes, enhancing both trend-following and mean-reversion strategies.
📊 Technical Composition and Calculation
The Quantum RSI Signals Suite is composed of several technical components that create a dynamic trending system:
RSI Normalization: Utilizes scaled RSI values (-1 to 1) for balanced momentum representation
Z-Score Analysis: Computes statistical significance of RSI movements to determine dynamic zones
Trend Following Analysis: Analyzes historical z-score movements to identify persistent trends
Signal Amplification: Combines z-score with trend analysis for enhanced signal generation
📈 Key Indicators and Features
The Quantum RSI Signals Suite utilizes normalized RSI with customizable length and z-score parameters to adapt to different trading styles. Advanced calculations are applied to determine statistical significance levels, providing context-aware boundaries for trend identification. The trend following component evaluates historical z-score movements to validate signals and identify potential reversals.
The indicator incorporates multi-layered visualization with:
Color-coded histogram and trend representation (bullish/bearish)
Combined statistical and trend-based signals
Dynamic trend-weighted scoring system
Mean reversion signals with distinct markers (⤻/↷)
Gradient fills for better visual clarity
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Signals: Watch the final score's position relative to the zero line to identify trend direction and potential reversals. The combined histogram and line visualization makes trend changes clearly visible.
🎯 Track Signals: Pay attention to the mean reversion markers that appear above and below the price chart:
→ Upward triangles (⤻) signal potential bullish reversals when final score crosses above zero
→ X crosses (↷) indicate potential bearish reversals when final score crosses below zero
🔔 Set Alerts: Configure alerts for trend changes in both bullish and bearish directions, ensuring you can act on significant technical developments promptly.
🌟 Summary and Tips
The Quantum RSI Signals Suite by QuantAlgo is a sophisticated technical tool, designed to support both trend following and mean reversion strategies across different market environments. By combining normalized RSI analysis with statistical z-score measurements and trend following analysis, it helps traders and investors identify significant trend changes while measuring statistical extremes, providing validated signals. The tool's adaptability through customizable RSI length, z-score parameters, and trend analysis settings makes it suitable for various trading timeframes and styles, allowing users to capture opportunities while maintaining awareness of statistical market conditions.
Key parameters to optimize for your trading or investing style:
RSI Length: Adjust for more or less sensitivity to price changes (default: 14)
Z-Score Length: Fine-tune the statistical window for signal stability (default: 20)
Trend Analysis Range: Balance historical context with current market conditions
Source Data: Customize price input for specialized strategies
Enhanced DEMAThe Enhanced DEMA (Double Exponential Moving Average) is a sophisticated trend-following indicator designed to identify and highlight market trends with precision.
The DEMA is calculated as:
DEMA=2×EMA(Source,Length)−EMA(EMA(Source,Length),Length)
This formula reduces lag while maintaining smoothness, enabling more responsive trend detection.
The DEMA is then further refined using a custom processing method that enhances both speed and robustness. This refinement improves the indicator’s responsiveness to market movements, ensuring timely identification of trends while minimizing the impact of noise and false signals.
Complementary Use:
The Enhanced DEMA works best when used alongside other indicators, such as the Michaelis-Menten-Based Trend Detector, to add confluence and improve decision-making. While the Enhanced DEMA excels at identifying trend direction and reducing lag, the Michaelis-Menten-Based Trend Detector can provide additional context, such as the intensity or sustainability of a trend.
By combining the two:
Traders can confirm signals from the Enhanced DEMA with the trend strength insights from the Michaelis-Menten-Based Trend Detector, reducing the likelihood of acting on false signals.
The pairing allows for more comprehensive market analysis, where the DEMA detects changes in trend direction and the Michaelis-Menten method gauges the trend’s reliability or potential for continuation.
This synergy enhances overall confidence in trading decisions, making it a powerful combination for both novice and experienced traders.
Real-Time HTF Volume Footprint [BigBeluga]Real-time HTF Volume Footprint Profile is designed to provide a comprehensive view of higher timeframe volume profiles on your current chart. It overlays critical volume information from larger timeframes (like daily, weekly, or monthly) onto lower timeframe charts, helping you spot significant levels where volume is concentrated, acting as potential support or resistance.
🔵 Key Features:
HTF High and Low Zones: The indicator highlights the high and low of the chosen higher timeframe with clear zones, marking them with boxes. These zones help you see the broader market structure at a glance.
Volume Profile within HTF Range: Each higher timeframe range displays a volume profile, showing the distribution of volume at each price level. The most-traded price is highlighted in blue, known as the Point of Control (POC), indicating the price level with the highest activity.
Dynamic POC Option: Activate Dynamic POC to observe how the Point of Control shifts over time, giving insight into changing market interests and potential price direction.
Timeframe Flexibility: Select from daily, weekly, and monthly ranges (and more) to overlay their footprint profiles on your lower timeframe chart. This helps you tailor the indicator to the trading horizon that suits your strategy.
Info Table: Table shows a traders which timeframe is selected with last high and low of the selected timeframe
Visual Clarity with Custom Colors: The indicator uses subtle fills and distinct colors to ensure volume profile data integrates seamlessly into your chart without overwhelming other indicators or price data.
🔵 When to Use:
The HTF Volume Footprint Profile is essential for traders who want to bridge the gap between high-timeframe and intraday analysis. By visualizing HTF volume distribution on lower timeframes, this tool helps you:
Spot potential liquidity zones where price might react.
Identify support and resistance levels within HTF ranges.
Monitor PoC shifts that indicate changes in market behavior.
Track how current price aligns with significant volume clusters, providing a clear edge for volume-based strategies.
This indicator empowers traders to analyze lower timeframes with the context of higher timeframe volume profiles, providing a solid basis for identifying critical support and resistance levels shaped by large volume clusters. Whether you’re looking to spot liquidity zones or align your trades with broader market trends, HTF Volume Footprint Profile equips you with a strategic view.
