Trend IdentifierThe “Trend Identifier” indicator is designed to help traders quickly identify trending and sideways market conditions, allowing them to adapt their strategies based on the prevailing market sentiment. By combining several technical analysis tools—ATR (Average True Range), ADX (Average Directional Index), EMA (Exponential Moving Average), and RSI (Relative Strength Index)—this script provides insights into the market’s strength, direction, and volatility to improve trade decision-making.
How It Works
1. ATR (Average True Range):
• ATR measures market volatility. In this script, ATR is used in combination with a moving average to identify periods of rising or falling volatility, which helps differentiate between trending and non-trending conditions.
2. ADX (Average Directional Index):
• ADX is a key component in identifying the strength of a trend. The script uses a threshold system to classify market conditions:
• If ADX is low (below a specified threshold plus a buffer) and ATR indicates low volatility, the market is likely in a sideways condition.
• If ADX is high (above a threshold minus a buffer) with increasing ATR, the market is likely in a trending condition.
3. EMA (Exponential Moving Average):
• A 20-period EMA is used instead of a simple moving average to enhance trend detection speed. The close price’s position relative to the EMA helps identify bullish or bearish trends when combined with ADX and ATR data.
4. RSI (Relative Strength Index):
• RSI acts as a confirmation tool for trend strength. A bullish trend is confirmed if RSI is above 50 and the price is above the EMA, whereas a bearish trend is confirmed if RSI is below 50 and the price is below the EMA.
Market Condition Signals
• Sideways Signal:
• When ADX and ATR indicate a low-volatility, sideways market, the indicator changes the background color to gray, signaling potential low-trend movement or consolidation. A “S” symbol appears above the bars, making it easier to spot this condition.
• Bullish Trend:
• When conditions favor a strong upward trend, the background changes to green. A “B” symbol is displayed below the bar, indicating the onset of a bullish market condition.
• Bearish Trend:
• Conversely, if conditions indicate a downward trend, the background color changes to red. A “S” symbol is displayed below the bar, showing a bearish trend condition.
Using the Indicator
This indicator helps traders understand the current market structure in a glance:
• Sideways (Gray): Low-volatility consolidation period, ideal for range-bound strategies or waiting for a breakout.
• Bullish (Green): Confirmed uptrend, potentially suitable for buying or long entries.
• Bearish (Red): Confirmed downtrend, ideal for short selling or exiting long positions.
The “Trend Identifier” is a powerful tool for traders who seek a clear view of the market structure, using a balanced approach of volatility, trend strength, and momentum. By combining the power of ATR, ADX, EMA, and RSI, this indicator provides a nuanced picture of the market’s behavior, assisting traders in making more informed decisions.
Cripto
Majors Rotation System [BackQuant]Majors Rotation System
Introducing BackQuant's Majors Rotation System, a comprehensive portfolio management tool for rotating among the major cryptocurrencies—BTC, ETH, and SOL. This system is designed to optimize returns by selecting the strongest-performing asset while avoiding periods of market weakness. It employs a long and cash-only strategy, meaning the system will only hold positions when market conditions are favorable, and will stay in cash during downtrends. Additionally, it incorporates a powerful regime filter to ensure the system is inactive during market-wide downturns.
This script is ideal for crypto traders looking to improve performance by dynamically allocating capital based on real-time performance metrics, rather than relying on a simple buy-and-hold strategy.
Key Features
Dynamic Asset Rotation: The system constantly evaluates the performance of BTC, ETH, and SOL, selecting the strongest asset based on a ratio matrix. This matrix compares the relative strength of each asset to one another, ensuring that your portfolio is always positioned in the cryptocurrency with the most momentum.
Long and Cash-Only Portfolio: This system only takes long positions or remains in cash. By avoiding short positions, it reduces exposure during market downturns. The built-in regime filter ensures the system only operates when the broader market (represented by the TOTAL crypto market cap) is trending up, offering additional protection against unfavorable market conditions.
Equity Tracking: The script provides a real-time visualization of portfolio equity compared to a buy-and-hold strategy. It displays the equity curve of the portfolio while allowing you to compare it against the hypothetical equity of holding BTC, ETH, or SOL individually (Buy and Hold).
Performance Metrics: In addition to equity visualization, the system provides detailed performance metrics, including:
Sharpe Ratio: Measures risk-adjusted returns.
Sortino Ratio: Focuses on downside risk.
Omega Ratio: Evaluates returns relative to risk.
Maximum Drawdown: The maximum observed loss from a peak to a trough.
These metrics allow traders to assess the efficiency of the rotation system compared to simply holding assets.
Visual Cues:
Painted Candles: The script provides a visual trend indicator by painting candles according to the trend of the selected chart, helping traders quickly identify momentum shifts.
Support for Multiple Assets: The system allows users to toggle between BTC, ETH, and SOL or view the entire portfolio at once. It displays key metrics for each asset and offers an intuitive way to understand which asset is currently outperforming.
Regime Filter: A key aspect of this system is the regime filter, which only allows trading in favorable market conditions. It uses a Universal TPI (Trend Performance Indicator) to evaluate whether the overall crypto market (TOTAL Market Cap) and key assets (BTC, ETH) are in a bullish trend. If the market is in a downtrend, the system will exit positions and move into cash.
Customizable Parameters: Users can customize several important aspects of the system:
Starting Date: Choose when the backtest or live trading begins.
Starting Capital: Set the initial capital for backtesting purposes.
Visualization Options: Toggle between base data, ratioed data, and equity plots. Users can also customize the line width and color settings for better chart clarity.
Adaptive Momentum Scoring: The system uses advanced indicators, which are not disclosed (proprietary) to assess the trend and momentum of the selected cryptocurrencies dynamically.
How the Rotation Works
The system uses a universal algorithm to calculate trend and momentum signals for BTC, ETH, and SOL. These signals are processed through a ratio matrix, which compares the performance of each asset against the others. Based on this comparison, the system identifies the strongest asset and allocates capital accordingly.
BTC, ETH, and SOL Scores: These scores represent the relative strength of each asset based on the universal algorithm. The system dynamically selects the asset with the highest score, rotating out of underperforming assets and into the top performer.
Allocation Decisions: The system determines whether to allocate capital to BTC, ETH, SOL, or Cash based on the scores. If none of the assets show strength, the system defaults to cash to protect the portfolio from market downturns.
Equity and Buy-and-Hold Comparisons
This script provides a side-by-side comparison of the portfolio’s equity curve and a buy-and-hold strategy:
Portfolio Equity: Shows the performance of the system as it rotates between BTC, ETH, and SOL.
Buy-and-Hold Equity: Displays how the portfolio would have performed if you simply held BTC, ETH, or SOL without trading.
These comparisons allow traders to see how the dynamic rotation system performs relative to a passive holding strategy.
Alerts and Visual Feedback
The system provides real-time alerts when asset allocations change, notifying traders when the system moves capital between assets or into cash. Additionally, the system offers detailed visual feedback, including:
Equity Curve Plots: Displays the equity curve of the portfolio and the individual assets.
Score Labels: Shows the strength scores for BTC, ETH, and SOL directly on the chart for easy monitoring.
Final Thoughts
The Majors Rotation System offers a powerful way to navigate the highly volatile crypto market by rotating between the strongest performing assets and staying in cash when conditions are unfavorable. With its advanced metrics, equity tracking, and built-in regime filter, this system is designed to optimize returns while minimizing risk.
Kalman For Loop [BackQuant]Kalman For Loop
Introducing BackQuant's Kalman For Loop (Kalman FL) — a highly adaptive trading indicator that uses a Kalman filter to smooth price data and generate actionable long and short signals. This advanced indicator is designed to help traders identify trends, filter out market noise, and optimize their entry and exit points with precision. Let’s explore how this indicator works, its key features, and how it can enhance your trading strategies.
Core Concept: Kalman Filter
The Kalman Filter is a mathematical algorithm used to estimate the state of a system by filtering noisy data. It is widely used in areas such as control systems, signal processing, and time-series analysis. In the context of trading, a Kalman filter can be applied to price data to smooth out short-term fluctuations, providing a clearer view of the underlying trend.
Unlike moving averages, which use fixed weights to smooth data, the Kalman Filter adjusts its estimate dynamically based on the relationship between the process noise and the measurement noise. This makes the filter more adaptive to changing market conditions, providing more accurate trend detection without the lag associated with traditional smoothing techniques.
Please see the original Kalman Price Filter
In this script, the Kalman For Loop applies the Kalman filter to the price source (default set to the closing price) to generate a smoothed price series, which is then used to calculate signals.
Adaptive Smoothing with Process and Measurement Noise
Two key parameters govern the behavior of the Kalman filter:
Process Noise: This controls the extent to which the model allows for uncertainty in price changes. A lower process noise value will make the filter smoother but slower to react to price changes, while a higher value makes it more sensitive to recent price fluctuations.
Measurement Noise: This represents the uncertainty or "noise" in the observed price data. A higher measurement noise value gives the filter more leeway to ignore short-term fluctuations, focusing on the broader trend. Lowering the measurement noise makes the filter more responsive to minor changes in price.
These settings allow traders to fine-tune the Kalman filter’s sensitivity, adjusting it to match their preferred trading style or market conditions.
For-Loop Scoring Mechanism
The Kalman FL further enhances the effectiveness of the Kalman filter by using a for-loop scoring system. This mechanism evaluates the smoothed price over a range of periods (defined by the Calculation Start and Calculation End inputs), assigning a score based on whether the current filtered price is higher or lower than previous values.
Long Signals: A long signal is generated when the for-loop score surpasses the Long Threshold (default set at 20), indicating a strong upward trend. This helps traders identify potential buying opportunities.
Short Signals: A short signal is triggered when the score crosses below the Short Threshold (default set at -10), signaling a potential downtrend or selling opportunity.
These signals are plotted on the chart, giving traders a clear visual indication of when to enter long or short positions.
Customization and Visualization Options
The Kalman For Loop comes with a range of customization options to give traders full control over how the indicator operates and is displayed on the chart:
Kalman Price Source: Choose the price data used for the Kalman filter (default is the closing price), allowing you to apply the filter to other price points like open, high, or low.
Filter Order: Set the order of the Kalman filter (default is 5), controlling how far back the filter looks in its calculations.
Process and Measurement Noise: Fine-tune the sensitivity of the Kalman filter by adjusting these noise parameters.
Signal Line Width and Colors: Customize the appearance of the signal line and the colors used to indicate long and short conditions.
Threshold Lines: Toggle the display of the long and short threshold lines on the chart for better visual clarity.
The indicator also includes the option to color the candlesticks based on the current trend direction, allowing traders to quickly identify changes in market sentiment. In addition, a background color feature further highlights the overall trend by shading the background in green for long signals and red for short signals.
Trading Applications
The Kalman For Loop is a versatile tool that can be adapted to a variety of trading strategies and markets. Some of the primary use cases include:
Trend Following: The adaptive nature of the Kalman filter helps traders identify the start of new trends with greater precision. The for-loop scoring system quantifies the strength of the trend, making it easier to stay in trades for longer when the trend remains strong.
Mean Reversion: For traders looking to capitalize on short-term reversals, the Kalman filter's ability to smooth price data makes it easier to spot when price has deviated too far from its expected path, potentially signaling a reversal.
Noise Reduction: The Kalman filter excels at filtering out short-term price noise, allowing traders to focus on the broader market movements without being distracted by minor fluctuations.
Risk Management: By providing clear long and short signals based on filtered price data, the Kalman FL helps traders manage risk by entering positions only when the trend is well-defined, reducing the chances of false signals.
Alerts and Automation
To further assist traders, the Kalman For Loop includes built-in alert conditions that notify you when a long or short signal is generated. These alerts can be configured to trigger notifications, helping you stay on top of market movements without constantly monitoring the chart.
Final Thoughts
The Kalman For Loop is a powerful and adaptive trading indicator that combines the precision of the Kalman filter with a for-loop scoring mechanism to generate reliable long and short signals. Whether you’re a trend follower or a reversal trader, this indicator offers the flexibility and accuracy needed to navigate complex markets with confidence.
As always, it’s important to backtest the indicator and adjust the settings to fit your trading style and market conditions. No indicator is perfect, and the Kalman FL should be used alongside other tools and sound risk management practices for the best results.
Blockcircle Hard Forks & HalvingsThe Hard Forks & Halvings indicator simply displays the dates of system wide network upgrades being completed for Bitcoin and Ethereum.
Those upgrades are called hard forks and halvings.
In the screenshot you will see that March 13 marked for the system wide Ethereum network upgrade called "ETH Dencun", it is marked in blue.
HOW IT WORKS?
For example:
Bitcoin Halvings: Nov 28, 2012, Jul 9, 2016, May 11, 2020, etc..
Bitcoin Hard Forks: Aug 2015, Feb 2016, Mar 2016, Aug 2017, etc..
Ethereum Hard Forks: Jul 30, 2015, Mar 14, 2016, Mar 13, 2024, etc...
It's conveniently an indicator so it allows you to overlay it on top of any price chart, e.g. BTC/USD, ETH/USD, ARB/USD, MATIC/USD, OP/USD, RONIN/USD, STRK/USD, etc...so you can measure the exact impact each individual significant event had on the underlying asset price.
HOW TO USE IT?
You can apply this to examine price impact on competing Layer 1s and complimentary and key beneficiary Layer 2s like ARB/OP/MATIC/STRK, which are worth monitoring closely in light of the recent Ethereum Hard Fork Dencun Upgrade and Bitcoin Halving on April 18-19.
WHAT MAKES IT' USEFUL AND ORIGINAL?
I could not find an indicator that does anything remotely close to this, so decided to build it as it's so useful to track these key dates. You can plan ahead!
One of the key benefits is a sharp reduction in Layer 2 transaction processing fees, and will lay the ground work required for "Data Blobs", think of it as a form of transaction optimization to improve scalability for the entire Ethereum ecosystem.
This will strongly accelerate staking and retaking efforts. This indicator has already helped so much in being to forecast that we were going to experience a bit of a pull back post Dencun upgrade, because historically, we've generally reverted back to the mean post upgrade.
If you have any questions about it, please post it them! Thank you
Divergence for Many Indicators v4 Screener▋ INTRODUCTION:
The “Divergence for Many Indicators v4 Screener” is developed to provide an advanced monitoring solution for up to 24 symbols simultaneously. It efficiently collects signals from multiple symbols based on the “ Divergence for Many Indicators v4 ” and presents the output in an organized table. The table includes essential details starting with the symbol name, signal price, corresponding divergence indicator, and signal time.
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▋ CREDIT:
The divergence formula adapted from the “ Divergence for Many Indicators v4 ” script, originally created by @LonesomeTheBlue . Full credit to his work.
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▋ OVERVIEW:
The chart image can be considered an example of a recorded divergence signal that occurred in $BTCUSDT.
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▋ APPEARANCE:
The table can be displayed in three formats:
1. Full indicator name.
2. First letter of the indicator name.
3. Total number of divergences.
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▋ SIGNAL CONFIRMATION:
The table distinguishes signal confirmation by using three different colors:
1. Not-Confirmed (Orange): The signal is not confirmed yet, as the bar is still open.
2. Freshly Confirmed (Green): The signal was confirmed 1 or 2 bars ago.
3. Confirmed (Gray): The signal was confirmed 3 or more bars ago.
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▋ INDICATOR SETTINGS:
Section(1): Table Settings
(1) Table location on the chart.
(2) Table’s cells size.
(3) Chart’s timezone.
(4) Sorting table.
- Signal: Sorts the table by the latest signals.
- None: Sorts the table based on the input order.
(5) Table’s colors.
(6) Signal Confirmation type color. Explained above in the SIGNAL CONFIRMATION section
Section(2): Divergence for Many Indicators v4 Settings
As seen on the Divergence for Many Indicators v4
* Explained above in the APPEARANCE section
Section(3): Symbols
(1) Enable/disable symbol in the screener.
(2) Entering a symbol.
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▋ FINAL COMMENTS:
For best performance, add the Screener indicator to an active symbol chart, such as QQQ, SPY, AAPL, BTCUSDT, ES, EURUSD, etc., and avoid mixing symbols from different market allocations.
The Divergence for Many Indicators v4 Screener indicator is not a primary tool for making trading decisions.
Order Flow / Delta Volume IndicatorOrder Flow / Delta Volume Indicator
The Order Flow / Delta Volume Indicator is designed to give traders a comprehensive view of market activity by combining delta volume analysis, order flow imbalances, and momentum filters. This indicator is not just a mashup of components, but a carefully crafted tool that enhances decision-making by integrating various layers of market analysis into one powerful system.
How the Components Work Together:
1. Delta Volume Bars: The core of this indicator, delta volume shows the difference between buy and sell orders, allowing traders to see real-time shifts in market sentiment. Green bars indicate buy-side pressure, while red bars show sell-side dominance. By visualizing this in bar form, traders can easily spot significant shifts in order flow that could signal trend changes or momentum shifts.
2. Cumulative Delta Line (Rescaled): The cumulative delta is rescaled to plot under the price candles, giving traders a clear, contextualized view of how net buyer or seller dominance is developing over time. This line helps identify potential market reversals when price moves diverge from cumulative delta trends.
3. Order Flow Imbalance Detection: Imbalances in buy and sell volumes are automatically detected using a threshold, ensuring that traders are alerted to significant market moves. These imbalances provide insight into aggressive buying or selling behavior, which is crucial for identifying points of high trading activity or potential breakout/reversal zones.
4. VWAP Filter: Volume Weighted Average Price (VWAP) is included as a filter to confirm trend direction. The VWAP ensures that buy signals are only triggered when price action is above the VWAP (indicating strength), and sell signals are triggered when price is below the VWAP (indicating weakness). This ensures that signals are not just based on volume, but also on where price is relative to a critical benchmark.
5. RSI Filter: The inclusion of the Relative Strength Index (RSI) adds a momentum check to the signals. By using RSI, traders can avoid taking trades during low-momentum periods, ensuring they only act when market conditions favor a stronger move.
6. Signal Cooldown Feature: To avoid clutter and noise from frequent signals, this indicator includes a cooldown period between signals, ensuring that traders don’t receive excessive alerts in a short timeframe. This feature prevents overtrading and helps focus on high-quality signals.
Why This Combination is Useful:
• Comprehensive Market Insight: By combining delta volume analysis with order flow imbalance detection, this indicator provides a deep understanding of market sentiment, showing not only price movement but the underlying volume dynamics driving those moves.
• Signal Accuracy: The VWAP and RSI filters ensure that signals are only generated in strong market conditions, filtering out weak or false signals that often occur in choppy markets.
• Divergence Detection: The cumulative delta line provides traders with a tool for spotting divergences between price action and underlying volume, allowing for earlier detection of potential reversals.
This indicator is more than a simple combination of existing tools—it’s a strategic fusion of volume analysis, order flow, and momentum filters designed to provide traders with a clearer view of market activity and to generate more reliable buy/sell signals.
This description explains how the components work together and highlights the indicator’s usefulness, which should address TradingView’s concerns about originality and purpose.
Dynamic Score PSAR [QuantAlgo]Dynamic Score PSAR 📈🧬
The Dynamic Score PSAR by QuantAlgo introduces an innovative approach to trend detection by utilizing a dynamic trend scoring technique in combination with the Parabolic SAR. This method goes beyond traditional trend-following indicators by evaluating market momentum through a scoring system that analyzes price behavior over a customizable window. By dynamically adjusting to evolving market conditions, this indicator provides clearer, more adaptive trend signals that help traders and investors anticipate market reversals and capitalize on momentum shifts with greater precision.
💫 Conceptual Foundation and Innovation
At the core of the Dynamic Score PSAR is the dynamic trend score system, which assesses price movements by comparing normalized PSAR values across a range of historical data points. This dynamic trend scoring technique offers a unique, probabilistic approach to trend analysis by evaluating how the current market compares to past price movements. Unlike traditional PSAR indicators that rely on static parameters, this scoring mechanism allows the indicator to adjust in real time to market fluctuations, offering traders and investors a more responsive and insightful view of trends. This innovation makes the Dynamic Score PSAR particularly effective in detecting shifts in momentum and potential reversals, even in volatile or complex market environments.
✨ Technical Composition and Calculation
The Dynamic Score PSAR is composed of several advanced components designed to provide a higher probability of detecting accurate trend shifts. The key innovation lies in the dynamic trend scoring technique, which iterates over historical PSAR values and evaluates price momentum through a dynamic scoring system. By comparing the current normalized PSAR value with previous data points over a user-defined window, the system generates a score that reflects the strength and direction of the trend. This allows for a more refined and responsive detection of trends compared to static, traditional indicators.
To enhance clarity, the PSAR values are normalized against an Exponential Moving Average (EMA), providing a standardized framework for comparison. This normalization ensures that the indicator adapts dynamically to market conditions, making it more effective in volatile markets. The smoothing process reduces noise, helping traders and investors focus on significant trend signals.
Additionally, users can adjust the length of the data window and the sensitivity thresholds for detecting uptrends and downtrends, providing flexibility for different trading and investing environments.
📈 Features and Practical Applications
Customizable Window Length: Adjust the window length to control the indicator’s sensitivity to recent price movements. This provides flexibility for short-term or long-term trend analysis.
Uptrend/Downtrend Thresholds: Set customizable thresholds for identifying uptrends and downtrends. These thresholds define when trend signals are triggered, offering adaptability to different market conditions.
Bar Coloring and Gradient Visualization: Visual cues, including color-coded bars and gradient fills, make it easier to interpret market trends and identify key moments for potential trend reversals.
Momentum Confirmation: The dynamic trend scoring system evaluates price action over time, providing a probabilistic measure of market momentum to confirm the strength and direction of a trend.
⚡️ How to Use
✅ Add the Indicator: Add the Dynamic Score PSAR to your favourites, then to your chart and adjust the PSAR settings, window length, and trend thresholds to match your preferences. Customize the sensitivity to price movements by tweaking the window length and thresholds for different market conditions.
👀 Monitor Trend Shifts: Watch for trend changes as the normalized PSAR values cross key thresholds, and use the dynamic score to confirm the strength and direction of trends. Bar coloring and background fills visually highlight key moments for trend shifts, making it easier to spot reversals.
🔔 Set Alerts: Configure alerts for significant trend crossovers and reversals, ensuring you can act on market movements promptly, even when you’re not actively monitoring the charts.
🌟 Summary and Usage Tips
The Dynamic Score PSAR by QuantAlgo is a powerful tool that combines traditional trend-following techniques with the flexibility of a dynamic trend scoring system. This innovative approach provides clearer, more adaptive trend signals, reducing the risk of false entries and exits while helping traders and investors capture significant market moves. The ability to adjust the indicator’s sensitivity and thresholds makes it versatile across different trading and investing environments, whether you’re focused on short-term pivots or long-term trend reversals. To maximize its effectiveness, fine-tune the sensitivity settings based on current market conditions and use the visual cues to confirm trend shifts.
Ping Pong Bot StrategyOverview:
The Ping Pong Bot Strategy is designed for traders who focus on scalping and short-term opportunities using support and resistance levels. This strategy identifies potential buy entries when the price reaches a key support area and shows bullish momentum (a green bar). It aims to capitalize on small price movements with predefined risk management and take profit levels, making it suitable for active traders looking to maximize quick trades in trending or ranging markets.
How It Works:
Support & Resistance Calculation:
The strategy dynamically identifies support and resistance levels using the lowest and highest price points over a user-defined period. These levels help pinpoint potential price reversal areas, guiding traders on where to enter or exit trades.
Buy Entry Criteria:
A buy signal is triggered when the closing price is at or below the support level, and the bar is green (i.e., the closing price is higher than the opening price). This ensures that entries are made when prices show signs of upward momentum after hitting support.
Risk Management:
For each trade, a stop loss is calculated based on a user-defined risk percentage, helping to protect against significant drawdowns. Additionally, a take profit level is set at a ratio relative to the risk, ensuring a disciplined approach to exit points.
0.5% Take Profit Target:
The strategy also includes a 0.5% quick take profit target, indicated by an orange arrow when reached. This feature helps traders lock in small gains rapidly, making it ideal for volatile market conditions.
Customizable Inputs:
Length: Adjusts the period for calculating support and resistance levels.
Risk-Reward Ratio: Allows traders to set the desired risk-to-reward ratio for each trade.
Risk Percentage: Defines the risk tolerance for stop loss calculations.
Take Profit Target: Enables the customization of the quick take profit target.
Ideal For:
Traders who prefer an active trading style and want to leverage support and resistance levels for precise entries and exits. This strategy is particularly useful in markets that experience frequent price bounces between support and resistance, allowing traders to "ping pong" between these levels for profitable trades.
Note:
This strategy is developed mainly for the 5-minute chart and has not been tested on longer time frames. Users should perform their own testing and adjustments if using it on different time frames.
Fourier For Loop [BackQuant]Fourier For Loop
PLEASE Read the following, as understanding an indicator's functionality is essential before integrating it into a trading strategy. Knowing the core logic behind each tool allows for a sound and strategic approach to trading.
Introducing BackQuant's Fourier For Loop (FFL) — a cutting-edge trading indicator that combines Fourier transforms with a for-loop scoring mechanism. This innovative approach leverages mathematical precision to extract trends and reversals in the market, helping traders make informed decisions. Let's break down the components, rationale, and potential use-cases of this indicator.
Understanding Fourier Transform in Trading
The Fourier Transform decomposes price movements into their frequency components, allowing for a detailed analysis of cyclical behavior in the market. By transforming the price data from the time domain into the frequency domain, this indicator identifies underlying patterns that traditional methods may overlook.
In this script, Fourier transforms are applied to the specified calculation source (defaulted to HLC3). The transformation yields magnitude values that can be used to score market movements over a defined range. This scoring process helps uncover long and short signals based on relative strength and trend direction.
Why Use Fourier Transforms?
Fourier Transforms excel in identifying recurring cycles and smoothing noisy data, making them ideal for fast-paced markets where price movements may be erratic. They also provide a unique perspective on market volatility, offering traders additional insights beyond standard indicators.
Calculation Logic: For-Loop Scoring Mechanism
The For Loop Scoring mechanism compares the magnitude of each transformed point in the series, summing the results to generate a score. This score forms the backbone of the signal generation system.
Long Signals: Generated when the score surpasses the defined long threshold (default set at 40). This indicates a strong bullish trend, signaling potential upward momentum.
Short Signals: Triggered when the score crosses under the short threshold (default set at -10). This suggests a bearish trend or potential downside risk.'
Thresholds & Customization
The indicator offers customizable settings to fit various trading styles:
Calculation Periods: Control how many periods the Fourier transform covers.
Long/Short Thresholds: Adjust the sensitivity of the signals to match different timeframes or risk preferences.
Visualization Options: Traders can visualize the thresholds, change the color of bars based on trend direction, and even color the background for enhanced clarity.
Trading Applications
This Fourier For Loop indicator is designed to be versatile across various market conditions and timeframes. Some of its key use-cases include:
Cycle Detection: Fourier transforms help identify recurring patterns or cycles, giving traders a head-start on market direction.
Trend Following: The for-loop scoring system helps confirm the strength of trends, allowing traders to enter positions with greater confidence.
Risk Management: With clearly defined long and short signals, traders can manage their positions effectively, minimizing exposure to false signals.
Final Note
Incorporating this indicator into your trading strategy adds a layer of mathematical precision to traditional technical analysis. Be sure to adjust the calculation start/end points and thresholds to match your specific trading style, and remember that no indicator guarantees success. Always backtest thoroughly and integrate the Fourier For Loop into a balanced trading system.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future .
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
Adaptive Volatility-Controlled LSMA [QuantAlgo]Adaptive Volatility-Controlled LSMA by QuantAlgo 📈💫
Introducing the Adaptive Volatility-Controlled LSMA (Least Squares Moving Average) , a powerful trend-following indicator that combines trend detection with dynamic volatility adjustments. This indicator is designed to help traders and investors identify market trends while accounting for price volatility, making it suitable for a wide range of assets and timeframes. By integrating LSMA for trend analysis and Average True Range (ATR) for volatility control, this tool provides clearer signals during both trending and volatile market conditions.
💡 Core Concept and Innovation
The Adaptive Volatility-Controlled LSMA leverages the precision of the LSMA to track market trends and combines it with the sensitivity of the ATR to account for market volatility. LSMA fits a linear regression line to price data, providing a smoothed trend line that is less reactive to short-term noise. The ATR, on the other hand, dynamically adjusts the volatility bands around the LSMA, allowing the indicator to filter out false signals and respond to significant price moves. This combination provides traders with a reliable tool to identify trend shifts while managing risk in volatile markets.
📊 Technical Breakdown and Calculations
The indicator consists of the following components:
1. Least Squares Moving Average (LSMA): The LSMA calculates a linear regression line over a defined period to smooth out price fluctuations and reveal the underlying trend. It is more reactive to recent data than traditional moving averages, allowing for quicker trend detection.
2. ATR-Based Volatility Bands: The Average True Range (ATR) measures market volatility and creates upper and lower bands around the LSMA. These bands expand and contract based on market conditions, helping traders identify when price movements are significant enough to indicate a new trend.
3. Volatility Extensions: To further account for rapid market changes, the bands are extended using additional volatility measures. This ensures that trend signals are generated when price movements exceed both the standard volatility range and the extended volatility range.
⚙️ Step-by-Step Calculation:
1. LSMA Calculation: The LSMA is computed using a least squares regression method over a user-defined length. This provides a trend line that adapts to recent price movements while smoothing out noise.
2. ATR and Volatility Bands: ATR is calculated over a user-defined length and is multiplied by a factor to create upper and lower bands around the LSMA. These bands help detect when price movements are substantial enough to signal a new trend.
3. Trend Detection: The price’s relationship to the LSMA and the volatility bands is used to determine trend direction. If the price crosses above the upper volatility band, a bullish trend is detected. Conversely, a cross below the lower band indicates a bearish trend.
✅ Customizable Inputs and Features:
The Adaptive Volatility-Controlled LSMA offers a variety of customizable options to suit different trading or investing styles:
📈 Trend Settings:
1. LSMA Length: Adjust the length of the LSMA to control its sensitivity to price changes. A shorter length reacts quickly to new data, while a longer length smooths the trend line.
2. Price Source: Choose the type of price (e.g., close, high, low) that the LSMA uses to calculate trends, allowing for different interpretations of price data.
🌊 Volatility Controls:
ATR Length and Multiplier: Adjust the length and sensitivity of the ATR to control how volatility is measured. A higher ATR multiplier widens the bands, making the trend detection less sensitive, while a lower multiplier tightens the bands, increasing sensitivity.
🎨 Visualization and Alerts:
1. Bar Coloring: Customize bar colors to visually distinguish between uptrends and downtrends.
2. Volatility Bands: Enable or disable the display of volatility bands on the chart. The bands provide visual cues about trend strength and volatility thresholds.
3. Alerts: Set alerts for when the price crosses the upper or lower volatility bands, signaling potential trend changes.
📈 Practical Applications
The Adaptive Volatility-Controlled LSMA is ideal for traders and investors looking to follow trends while accounting for market volatility. Its key use cases include:
Identifying Trend Reversals: The indicator detects when price movements break through volatility bands, signaling potential trend reversals.
Filtering Market Noise: By applying ATR-based volatility filtering, the indicator helps reduce false signals caused by short-term price fluctuations.
Managing Risk: The volatility bands adjust dynamically to account for market conditions, helping traders manage risk and improve the accuracy of their trend-following strategies.
⭐️ Summary
The Adaptive Volatility-Controlled LSMA by QuantAlgo offers a robust and flexible approach to trend detection and volatility management. Its combination of LSMA and ATR creates clearer, more reliable signals, making it a valuable tool for navigating trending and volatile markets. Whether you're detecting trend shifts or filtering market noise, this indicator provides the tools you need to enhance your trading and investing strategy.
Note: The Adaptive Volatility-Controlled LSMA is a tool to enhance market analysis. It should be used in conjunction with other analytical tools and should not be relied upon as the sole basis for trading or investment decisions. No signals or indicators constitute financial advice, and past performance is not indicative of future results.
Adaptive EMA with ATR and Standard Deviation [QuantAlgo]Adaptive EMA with ATR and Standard Deviation by QuantAlgo 📈✨
Introducing the Adaptive EMA with ATR and Standard Deviation , a comprehensive trend-following indicator designed to combine the smoothness of an Exponential Moving Average (EMA) with the volatility adjustments of Average True Range (ATR) and Standard Deviation. This synergy allows traders and investors to better identify market trends while accounting for volatility, delivering clearer signals in both trending and volatile market conditions. This indicator is suitable for traders and investors seeking to balance trend detection and volatility management, offering a robust and adaptable approach across various asset classes and timeframes.
💫 Core Concept and Innovation
The Adaptive EMA with ATR and Standard Deviation brings together the trend-smoothing properties of the EMA and the volatility sensitivity of ATR and Standard Deviation. By using the EMA to track price movements over time, the indicator smooths out minor fluctuations while still providing valuable insights into overall market direction. However, market volatility can sometimes distort simple moving averages, so the ATR and Standard Deviation components dynamically adjust the trend signals, offering more nuanced insights into trend strength and reversals. This combination equips traders with a powerful tool to navigate unpredictable markets while minimizing false signals.
📊 Technical Breakdown and Calculations
The Adaptive EMA with ATR and Standard Deviation relies on three key technical components:
1. Exponential Moving Average (EMA): The EMA forms the base of the trend detection. Unlike a Simple Moving Average (SMA), the EMA gives more weight to recent price changes, allowing it to react more quickly to new data. Users can adjust the length of the EMA to make it more or less responsive to price movements.
2. Standard Deviation Bands: These bands are calculated from the standard deviation of the EMA and represent dynamic volatility thresholds. The upper and lower bands expand or contract based on recent price volatility, providing more accurate signals in both calm and volatile markets.
3. ATR-Based Volatility Filter: The Average True Range (ATR) is used to measure market volatility over a user-defined period. It helps refine the trend signals by filtering out false positives caused by minor price swings. The ATR filter ensures that the indicator only signals significant market movements.
⚙️ Step-by-Step Calculation:
1. EMA Calculation: First, the indicator calculates the EMA over a specified period based on the chosen price source (e.g., close, high, low).
2. Standard Deviation Bands: Then, it computes the standard deviation of the EMA and applies a multiplier to create upper and lower bands around the EMA. These bands adjust dynamically with the level of market volatility.
3. ATR Filtering: In addition to the standard deviation bands, the ATR is applied as a secondary filter to help refine the trend signals. This step helps eliminate signals generated by short-term price spikes or corrections, ensuring that the signals are more reliable.
4. Trend Detection: When the price crosses above the upper band, a bullish trend is identified, while a move below the lower band signals a bearish trend. The system accounts for both the standard deviation and ATR bands to generate these signals.
✅ Customizable Inputs and Features
The Adaptive EMA with ATR and Standard Deviation provides a range of customizable options to fit various trading/investing styles:
📈 Trend Settings:
1. Price Source: Choose the price type (e.g., close, high, low) to base the EMA calculation on, influencing how the trend is tracked.
2. EMA Length: Adjust the length to control how quickly the EMA reacts to price changes. A shorter length provides a more responsive EMA, while a longer period smooths out short-term fluctuations.
🌊 Volatility Controls:
1. Standard Deviation Multiplier: This parameter controls the sensitivity of the trend detection by adjusting the distance between the upper and lower bands from the EMA.
2. TR Length and Multiplier: Fine-tune the ATR settings to control how volatility is filtered, adjusting the indicator’s responsiveness during high or low volatility phases.
🎨 Visualization and Alerts:
1. Bar Coloring: Select different colors for uptrends and downtrends, providing a clear visual cue when trends change.
2. Alerts: Set up alerts to notify you when the price crosses the upper or lower bands, signaling a potential long or short trend shift. Alerts can help you stay informed without constant chart monitoring.
📈 Practical Applications
The Adaptive EMA with ATR and Standard Deviation is ideal for traders and investors looking to balance trend-following strategies with volatility management. Key uses include:
Detecting Trend Reversals: The dynamic bands help identify when the market shifts direction, providing clear signals when a trend reversal is likely.
Filtering Market Noise: By applying both Standard Deviation and ATR filtering, the indicator helps reduce false signals during periods of heightened volatility.
Volatility-Based Risk Management: The adaptability of the bands ensures that traders can manage risk more effectively by responding to shifts in volatility while keeping focus on long-term trends.
⭐️ Comprehensive Summary
The Adaptive EMA with ATR and Standard Deviation is a highly customizable indicator that provides traders with clearer signals for trend detection and volatility management. By dynamically adjusting its calculations based on market conditions, it offers a powerful tool for navigating both trending and volatile markets. Whether you're looking to detect early trend reversals or avoid false signals during periods of high volatility, this indicator gives you the flexibility and accuracy to improve your trading and investing strategies.
Note: The Adaptive EMA with ATR and Standard Deviation is designed to enhance your market analysis but should not be relied upon as the sole basis for trading or investing decisions. Always combine it with other analytical tools and practices. No statements or signals from this indicator constitute financial advice. Past performance is not indicative of future results.
Bitcoin Logarithmic Growth Curve 2024The Bitcoin logarithmic growth curve is a concept used to analyze Bitcoin's price movements over time. The idea is based on the observation that Bitcoin's price tends to grow exponentially, particularly during bull markets. It attempts to give a long-term perspective on the Bitcoin price movements.
The curve includes an upper and lower band. These bands often represent zones where Bitcoin's price is overextended (upper band) or undervalued (lower band) relative to its historical growth trajectory. When the price touches or exceeds the upper band, it may indicate a speculative bubble, while prices near the lower band may suggest a buying opportunity.
Unlike most Bitcoin growth curve indicators, this one includes a logarithmic growth curve optimized using the latest 2024 price data, making it, in our view, superior to previous models. Additionally, it features statistical confidence intervals derived from linear regression, compatible across all timeframes, and extrapolates the data far into the future. Finally, this model allows users the flexibility to manually adjust the function parameters to suit their preferences.
The Bitcoin logarithmic growth curve has the following function:
y = 10^(a * log10(x) - b)
In the context of this formula, the y value represents the Bitcoin price, while the x value corresponds to the time, specifically indicated by the weekly bar number on the chart.
How is it made (You can skip this section if you’re not a fan of math):
To optimize the fit of this function and determine the optimal values of a and b, the previous weekly cycle peak values were analyzed. The corresponding x and y values were recorded as follows:
113, 18.55
240, 1004.42
451, 19128.27
655, 65502.47
The same process was applied to the bear market low values:
103, 2.48
267, 211.03
471, 3192.87
676, 16255.15
Next, these values were converted to their linear form by applying the base-10 logarithm. This transformation allows the function to be expressed in a linear state: y = a * x − b. This step is essential for enabling linear regression on these values.
For the cycle peak (x,y) values:
2.053, 1.268
2.380, 3.002
2.654, 4.282
2.816, 4.816
And for the bear market low (x,y) values:
2.013, 0.394
2.427, 2.324
2.673, 3.504
2.830, 4.211
Next, linear regression was performed on both these datasets. (Numerous tools are available online for linear regression calculations, making manual computations unnecessary).
Linear regression is a method used to find a straight line that best represents the relationship between two variables. It looks at how changes in one variable affect another and tries to predict values based on that relationship.
The goal is to minimize the differences between the actual data points and the points predicted by the line. Essentially, it aims to optimize for the highest R-Square value.
Below are the results:
It is important to note that both the slope (a-value) and the y-intercept (b-value) have associated standard errors. These standard errors can be used to calculate confidence intervals by multiplying them by the t-values (two degrees of freedom) from the linear regression.
These t-values can be found in a t-distribution table. For the top cycle confidence intervals, we used t10% (0.133), t25% (0.323), and t33% (0.414). For the bottom cycle confidence intervals, the t-values used were t10% (0.133), t25% (0.323), t33% (0.414), t50% (0.765), and t67% (1.063).
The final bull cycle function is:
y = 10^(4.058 ± 0.133 * log10(x) – 6.44 ± 0.324)
The final bear cycle function is:
y = 10^(4.684 ± 0.025 * log10(x) – -9.034 ± 0.063)
The main Criticisms of growth curve models:
The Bitcoin logarithmic growth curve model faces several general criticisms that we’d like to highlight briefly. The most significant, in our view, is its heavy reliance on past price data, which may not accurately forecast future trends. For instance, previous growth curve models from 2020 on TradingView were overly optimistic in predicting the last cycle’s peak.
This is why we aimed to present our process for deriving the final functions in a transparent, step-by-step scientific manner, including statistical confidence intervals. It's important to note that the bull cycle function is less reliable than the bear cycle function, as the top band is significantly wider than the bottom band.
Even so, we still believe that the Bitcoin logarithmic growth curve presented in this script is overly optimistic since it goes parly against the concept of diminishing returns which we discussed in this post:
This is why we also propose alternative parameter settings that align more closely with the theory of diminishing returns.
Our recommendations:
Drawing on the concept of diminishing returns, we propose alternative settings for this model that we believe provide a more realistic forecast aligned with this theory. The adjusted parameters apply only to the top band: a-value: 3.637 ± 0.2343 and b-parameter: -5.369 ± 0.6264. However, please note that these values are highly subjective, and you should be aware of the model's limitations.
Conservative bull cycle model:
y = 10^(3.637 ± 0.2343 * log10(x) - 5.369 ± 0.6264)
H-Infinity Volatility Filter [QuantAlgo]Introducing the H-Infinity Volatility Filter by QuantAlgo 📈💫
Enhance your trading/investing strategy with the H-Infinity Volatility Filter , a powerful tool designed to filter out market noise and identify clear trend signals in volatile conditions. By applying an advanced H∞ filtering process, this indicator assists traders and investors in navigating uncertain market conditions with improved clarity and precision.
🌟 Key Features:
🛠 Customizable Noise Parameters: Adjust worst-case noise and disturbance settings to tailor the filter to various market conditions. This flexibility helps you adapt the indicator to handle different levels of market volatility and disruptions.
⚡️ Dynamic Trend Detection: The filter identifies uptrends and downtrends based on the filtered price data, allowing you to quickly spot potential shifts in the market direction.
🎨 Color-Coded Visuals: Easily differentiate between bullish and bearish trends with customizable color settings. The indicator colors the chart’s candles according to the detected trend for immediate clarity.
🔔 Custom Alerts: Set alerts for trend changes, so you’re instantly informed when the market transitions from bullish to bearish or vice versa. Stay updated without constantly monitoring the charts.
📈 How to Use:
✅ Add the Indicator: Add the H-Infinity Volatility Filter to your favourites and apply it to your chart. Customize the noise and disturbance parameters to match the volatility of the asset you are trading/investing. This allows you to optimize the filter for your specific strategy.
👀 Monitor Trend Shifts: Watch for clear visual signals as the filter detects uptrends or downtrends. The color-coded candles and line plots help you quickly assess market conditions and potential reversals.
🔔 Set Alerts: Configure alerts to notify you when the trend changes, allowing you to react quickly to potential market shifts without needing to manually track price movements.
🌟 How It Works and Academic Background:
The H-Infinity Volatility Filter is built on the foundations of H∞ (H-infinity) control theory , a mathematical framework originating from the field of engineering and control systems. Developed in the 1980s by notable engineers such as George Zames and John C. Doyle , this theory was designed to help systems perform optimally under uncertain and noisy conditions. H∞ control focuses on minimizing the worst-case effects of disturbances and noise, making it a powerful tool for managing uncertainty in complex environments.
In financial markets, where unpredictable price fluctuations and noise often obscure meaningful trends, this same concept can be applied to price data to filter out short-term volatility. The H-Infinity Volatility Filter adopts this approach, allowing traders and investors to better identify potential trends by reducing the impact of random price movements. Instead of focusing on precise market predictions, the filter increases the probability of highlighting significant trends by smoothing out market noise.
This indicator works by processing historical price data through an H∞ filter that continuously adjusts based on worst-case noise levels and disturbances. By considering several past states, it estimates the current price trend while accounting for potential external disruptions that might influence price behavior. Parameters like "worst-case noise" and "disturbance" are user-configurable, allowing traders to adapt the filter to different market conditions. For example, in highly volatile markets, these parameters can be adjusted to manage larger price swings, while in more stable markets, they can be fine-tuned for smoother trend detection.
The H-Infinity Volatility Filter also incorporates a dynamic trend detection system that classifies price movements as bullish or bearish. It uses color-coded candles and plots—green for bullish trends and red for bearish trends—to provide clear visual cues for market direction. This helps traders and investors quickly interpret the trend and act on potential signals. While the indicator doesn’t guarantee accuracy in trend prediction, it significantly reduces the likelihood of false signals by focusing on meaningful price changes rather than random fluctuations.
How It Can Be Applied to Trading/Investing:
By applying the principles of H∞ control theory to financial markets, the H-Infinity Volatility Filter provides traders and investors with a sophisticated tool that manages uncertainty more effectively. Its design makes it suitable for use in a wide range of markets—whether in fast-moving, volatile environments or calmer conditions.
The indicator is versatile and can be used in both short-term trading and medium to long-term investing strategies. Traders can tune the filter to align with their specific risk tolerance, asset class, and market conditions, making it an ideal tool for reducing the effects of market noise while increasing the probability of detecting reliable trend signals.
For investors, the filter can help in identifying medium to long-term trends by filtering out short-term price swings and focusing on the broader market direction. Whether applied to stocks, forex, commodities, or cryptocurrencies, the H-Infinity Volatility Filter helps traders and investors interpret market behavior with more confidence by offering a more refined view of price movements through its noise reduction techniques.
Disclaimer:
The H-Infinity Volatility Filter is designed to assist in market analysis by filtering out noise and volatility. It should not be used as the sole tool for making trading or investment decisions. Always incorporate other forms of analysis and risk management strategies. No statements or signals from this indicator or us should be considered financial advice. Past performance is not indicative of future results.
Adaptive VWAP [QuantAlgo]Introducing the Adaptive VWAP by QuantAlgo 📈🧬
Enhance your trading and investing strategies with the Adaptive VWAP , a versatile tool designed to provide dynamic insights into market trends and price behavior. This indicator offers a flexible approach to VWAP calculations by allowing users to adapt it based on lookback periods or fixed timeframes, making it suitable for a wide range of market conditions.
🌟 Key Features:
🛠 Customizable VWAP Settings: Choose between an adaptive VWAP that adjusts based on a rolling lookback period, or switch to a fixed timeframe (e.g., daily, weekly, monthly) for a more structured approach. Adjust the VWAP to suit your trading or investing style.
💫 Dynamic Bands and ATR Filter: Configurable deviation bands with multipliers allow you to visualize price movement around VWAP, while an ATR-based noise filter helps reduce false signals during periods of market fluctuation.
🎨 Trend Visualization: Color-coded trend identification helps you easily spot uptrends and downtrends based on VWAP positioning. The indicator fills the areas between the bands for clearer visual representation of price volatility and trend strength.
🔔 Custom Alerts: Set up alerts for when price crosses above or below the VWAP, signaling potential uptrend or downtrend opportunities. Stay informed without needing to monitor the charts constantly.
✍️ How to Use:
✅ Add the Indicator: Add the Adaptive VWAP to your favourites and apply to your chart. Choose between adaptive or timeframe-based VWAP calculation, adjust the lookback period, and configure the deviation bands to your preferred settings.
👀 Monitor Bands and Trends: Watch for price interaction with the VWAP and its deviation bands. The color-coded signals and band fills help identify potential trend shifts or price extremes.
🔔 Set Alerts: Configure alerts for uptrend and downtrend signals based on price crossing the VWAP, so you’re always informed of significant market movements.
⚙️ How It Works:
The Adaptive VWAP adjusts its calculation based on the user’s chosen configuration, allowing for a flexible approach to market analysis. The adaptive setting uses a rolling lookback period to continuously adjust the VWAP, while the fixed timeframe option anchors VWAP to key timeframes like daily, weekly, or monthly periods. This flexibility enables traders and investors to use the tool in various market environments.
Deviation bands, calculated with customizable multipliers, provide a clear visual of how far the price has moved from the VWAP, helping you gauge potential overbought or oversold conditions. To reduce false signals, an ATR-based filter can be applied, ensuring that only significant price movements trigger trend confirmations.
The tool also includes a fast exponential smoothing function for the VWAP, helping smooth out price fluctuations without sacrificing responsiveness. Trend confirmation is reinforced by the number of bars that price stays above or below the VWAP, ensuring a more consistent trend identification process.
Disclaimer:
The Adaptive VWAP is designed to enhance your market analysis but should not be relied upon as the sole basis for trading or investing decisions. Always combine it with other analytical tools and practices. No statements or signals from this indicator constitute financial advice. Past performance is not indicative of future results.
Volatility-Adjusted DEMA Supertrend [QuantAlgo]Introducing the Volatility-Adjusted DEMA Supertrend by QuantAlgo 📈💫
Take your trading and investing strategies to the next level with the Volatility-Adjusted DEMA Supertrend , a dynamic tool designed to adapt to market volatility and provide clear, actionable trend signals. This innovative indicator is ideal for both traders and investors looking for a more responsive approach to market trends, helping you capture potential shifts with greater precision.
🌟 Key Features:
🛠 Customizable Trend Settings: Adjust the period for trend calculation and fine-tune the sensitivity to price movements. This flexibility allows you to tailor the Supertrend to your unique trading or investing strategy, whether you're focusing on shorter or longer timeframes.
📊 Volatility-Responsive Multiplier: The Supertrend dynamically adjusts its sensitivity based on real-time market volatility. This could help filter out noise in calmer markets and provide more accurate signals during periods of heightened volatility.
✨ Trend-Based Color-Coding: Visualize bullish and bearish trends with ease. The indicator paints candles and plots trend lines with distinct colors based on the current market direction, offering quick, clear insights into potential opportunities.
🔔 Custom Alerts: Set up alerts for key trend shifts to ensure you're notified of significant market changes. These alerts would allow you to act swiftly, potentially capturing opportunities without needing to constantly monitor the charts.
📈 How to Use:
✅ Add the Indicator: Add the Volatility-Adjusted DEMA Supertrend to your chart. Customize the trend period, volatility settings, and price source to match your trading or investing style. This ensures the indicator aligns with your market strategy.
👀 Monitor Trend Shifts: Watch the color-coded trend lines and candles as they dynamically shift based on real-time market conditions. These visual cues help you spot potential trend reversals and confirm your entries and exits with greater confidence.
🔔 Set Alerts: Configure alerts for key trend shifts, allowing you to stay informed of potential market reversals or continuation patterns, even when you're not actively watching the market.
⚙️ How It Works:
The Volatility-Adjusted DEMA Supertrend is designed to adapt to changes in market conditions, making it highly responsive to price volatility. The indicator calculates a trend line based on price and volatility, dynamically adjusting it to reflect recent market behavior. When the market experiences higher volatility, the trend line becomes more flexible, potentially allowing for greater sensitivity to rapid price movements. Conversely, during periods of low volatility, the indicator tightens its range, helping to reduce noise and avoid false signals.
The indicator includes a volatility-responsive multiplier, which further enhances its adaptability to market conditions. This means the trend direction would always be based on the latest market data, potentially helping you stay ahead of shifts or continuation trends. The Supertrend's visual color-coding simplifies the process of identifying bullish or bearish trends, while customizable alerts ensure you can stay on top of significant changes in market direction.
This tool is versatile and could be applied across various markets and timeframes, making it a valuable addition for both traders and investors. Whether you’re trading in fast-moving markets or focusing on longer-term investments, the Volatility-Adjusted DEMA Supertrend could help you remain aligned with the current market environment.
Disclaimer:
This indicator is designed to enhance your analysis by providing trend information, but it should not be used as the sole basis for making trading or investing decisions. Always combine it with other forms of analysis and risk management practices. No statements or claims aim to be financial advice, and no signals from us or our indicators should be interpreted as such. Past performance is not indicative of future results.
Dynamic Volume RSI (DVRSI) [QuantAlgo]Introducing the Dynamic Volume RSI (DVRSI) by QuantAlgo 📈✨
Elevate your trading and investing strategies with the Dynamic Volume RSI (DVRSI) , a powerful tool designed to provide clear insights into market momentum and trend shifts. This indicator is ideal for traders and investors who want to stay ahead of the curve by using volume-responsive calculations and adaptive smoothing techniques to enhance signal clarity and reliability.
🌟 Key Features:
🛠 Customizable RSI Settings: Tailor the indicator to your strategy by adjusting the RSI length and price source. Whether you’re focused on short-term trades or long-term investments, DVRSI adapts to your needs.
🌊 Adaptive Smoothing: Enable adaptive smoothing to filter out market noise and ensure cleaner signals in volatile or choppy market conditions.
🎨 Dynamic Color-Coding: Easily identify bullish and bearish trends with color-coded candles and RSI plots, offering clear visual cues to track market direction.
⚖️ Volume-Responsive Adjustments: The DVRSI reacts to volume changes, giving greater significance to high-volume price moves and improving the accuracy of trend detection.
🔔 Custom Alerts: Stay informed with alerts for key RSI crossovers and trend changes, allowing you to act quickly on emerging opportunities.
📈 How to Use:
✅ Add the Indicator: Set up the DVRSI by adding it to your chart and customizing the RSI length, price source, and smoothing options to fit your specific strategy.
👀 Monitor Visual Cues: Watch for trend shifts through the color-coded plot and candles, signaling changes in momentum as the RSI crosses key levels.
🔔 Set Alerts: Configure alerts for critical RSI crossovers, such as the 50 line, ensuring you stay on top of potential market reversals and opportunities.
🔍 How It Works:
The Dynamic Volume RSI (DVRSI) is a unique indicator designed to provide more accurate and responsive signals by incorporating both price movement and volume sensitivity into the RSI framework. It begins by calculating the traditional RSI values based on a user-defined length and price source, but unlike standard RSI tools, the DVRSI applies volume-weighted adjustments to reflect the strength of market participation.
The indicator dynamically adjusts its sensitivity by factoring in volume to the RSI calculation, which means that price moves backed by higher volumes carry more weight, making the signal more reliable. This method helps identify stronger trends and reduces the risk of false signals in low-volume environments. To further enhance accuracy, the DVRSI offers an adaptive smoothing option that allows users to reduce noise during periods of market volatility. This adaptive smoothing function responds to market conditions, providing a cleaner signal by reducing erratic movements or price spikes that could lead to misleading signals.
Additionally, the DVRSI uses dynamic color-coding to visually represent the strength of bullish or bearish trends. The candles and RSI plots change color based on the RSI values crossing critical thresholds, such as the 50 level, offering an intuitive way to recognize trend shifts. Traders can also configure alerts for specific RSI crossovers (e.g., above 50 or below 40), ensuring that they stay informed of potential trend reversals and significant market shifts in real-time.
The combination of volume sensitivity, adaptive smoothing, and dynamic trend visualization makes the DVRSI a robust and versatile tool for traders and investors looking to fine-tune their market analysis. By incorporating both price and volume data, this indicator delivers more precise signals, helping users make informed decisions with greater confidence.
Disclaimer:
The Dynamic Volume RSI is designed to enhance your market analysis but should not be used as a sole decision-making tool. Always consider multiple factors before making any trading or investment decisions. Past performance is not indicative of future results.
Bitcoin PivotFind [BTC Cycle Tops & Bottoms Finder]What is PivotFind?
PivotFind is a custom indicator designed to track 30+ data points of different nature (technical, sentiment, macro, on-chain), and across multiple timeframes (from 1D to 60D), to detect the market conditions that may indicate the formation of potential Cycle Tops and Bottoms .
PivotFind's goal is to help you navigate Bitcoin's price movements and key happenings over its approximately 4-year cycles to help you craft a mid-term investment plan focused on the larger swings, rather than the shorter-term fluctuations.
What Does PivotFind Show/Do?
Market Phase Assessment and Visualization:
- Uses color-coded backgrounds (green for bull, red for bear, yellow for trend reversal) to show the current (assessed) market phase. Note that the price line itself changes color to reinforce the current phase identification.
- Helps you understand if we're in a uptrend, downtrend, or potentially changing direction (reversal), often an open question for traders, with a mid-term horizon
Cycle Top and Bottom Warnings:
- Places red dots above the price line to warn of potential cycle peaks.
- Shows green dots below the price line to indicate possible cycle bottoms.
These markers appear when multiple indicators reach certain thresholds, which historically have often coincided with significant market pivots (from bull to bear, or viceversa). Clusters of tops and bottom warnings are expected to appear at truly pivotal moments.
Parabolic Growth Signals:
- Displays upward arrows when conditions suggest potential for the rapid price increases that historically anticipated blow-off tops
- These signals are based on a combination of technical indicators and market sentiment reaching certain thresholds.
Altcoin Season Indicators:
- Marks with white diamonds the conditions that have historically led to "altseasons" (i.e. Altcoins overperforming BTC's growth rate).
- Based on factors like Bitcoin dominance decrease and certain altcoin performance metrics.
Fibonacci Retracement Bands:
Plots long-term support and resistance zones based on Fibonacci retracement levels.
These bands are calculated from previous major market highs and lows and shed light on the nature of short-term retracements in the context of major trends.
Price Scenario
PivotFind also provides reference price levels for the upcoming halving cycle, including potential thresholds for increased market interest (retail FOMO), possible overvaluation, and theoretical cycle peak ranges. These projections are based on historical data and should be considered as points of reference rather than definitive predictions.
Comprehensive Data Tables:
Right-side Table: Shows current cycle stage, Bitcoin/Altcoin market dominance percentages, and evaluates key economic factors (like inflation and interest rates) for their potential impact.
Bottom Table: Displays real-time values of over 30 key indicators, including RSI, MVRV ratio, and Fear & Greed Index.
Alerts
PivotFind offers you the ability to set up custom alerts (via the standard TradingView alert functionality) or receive automated notifications for significant market events. Despite its sophisticated analysis, PivotFind is designed to be user-friendly, with pre-set parameters that don't require complex adjustments.
How Does It Work?
PivotFind analyzes over 30 different indicators across multiple timeframes (from 1 day to 60 days), grouped into four main categories:
1. Technical Analysis:
Uses standard indicators like RSI, Stochastic RSI, Williams %R, Elliot Oscillator, TDI, and mean reversion concepts.
Looks for divergences between price and multiple indicators (like OBV, MFI, CCI, RSI, SRSI, MACD and others) to spot potential reversals.
2. Market Sentiment:
Incorporates the Crypto Fear & Greed Index (0-100 scale).
Tracks social media trends and influencer follower counts as a gauge of public interest.
3. Macroeconomic Factors:
Monitors inflation rates, interest rates, US rate yields, and money supply (M2) figures.
Tracks the U.S. Dollar Index (DXY) and bond market health through ETFs like TLT and HYG.
4. On-Chain Analytics:
Analyzes MVRV (Market Value to Realized Value) ratio to spot potential over/undervaluation.
Examines NUPL (Net Unrealized Profit/Loss) and active Bitcoin addresses.
PivotFind analyzes these indicators collectively, looking for significant correlations and confluences, to provide a view of the market's position within the 4-year cycle and spot the conditions for potential Cycle tops and bottoms (cycle pivots).
Who Is This For?
PivotFind may be particularly useful for:
- Long-term investors looking to optimize entry and exit points within the 4-year cycle
- Individuals who want to understand mid-term trends without engaging in daily analysis of multiple charts (due to lack of time and/or financial knowledge)
- Bitcoin Holders and miners planning their decisions around critical market pivot points
It's less suitable for scalpers, day-traders or those focused on short-term price movements.
Value Proposition
PivotFind simplifies market analysis by bringing together a wide range of indicators and data sources across different timeframes. It uses built-in logic to interpret these inputs within the context of Bitcoin's cycles, giving users an efficient way to spot potential major market shifts. This all-in-one approach helps make sense of complex market conditions and supports more informed decision-making.
Since Bitcoin’s broader cycle strongly influences the entire crypto market, PivotFind can also be useful for investors who are focused on Altcoins, not just Bitcoin.
Important Note (Disclaimer)
Past performance, and patterns, do not guarantee future results. Therefore, PivotFind should be used as one of many tools in your analysis. While the indicator provides a multi-faceted and multi-timeframe analysis of factors historically correlated with pivotal price shifts, it cannot predict future prices with certainty. It's a tool to help inform your decisions, not make them for you. Always conduct your own research and remember that all investments, especially in cryptocurrencies, involve risk.
Recommended Settings
PivotFinds works best on the 1D INDEX:BTCUSD chart (dark-mode, logarithmic scale).
This indicator is not publicly available and requires special access.
SOL & BTC EMA with BTC/SOL Price Difference % and BTC Dom EMAThis script is designed to provide traders with a comprehensive analysis of Solana (SOL) and Bitcoin (BTC) by incorporating Exponential Moving Averages (EMAs) and price difference percentages. It also includes the BTC Dominance EMA to offer insights into the overall market dominance of Bitcoin.
Features:
SOL EMA: Plots the Exponential Moving Average (EMA) for Solana (SOL) based on a customizable period length.
BTC EMA: Plots the Exponential Moving Average (EMA) for Bitcoin (BTC) based on a customizable period length.
BTC Dominance EMA: Plots the Exponential Moving Average (EMA) for BTC Dominance, which helps in understanding Bitcoin's market share relative to other cryptocurrencies.
BTC/SOL Price Difference %: Calculates and plots the percentage difference between BTC and SOL prices, adjusted for their respective EMAs. This helps in identifying relative strength or weakness between the two assets.
Background Highlight: Colors the background to visually indicate whether the BTC/SOL price difference percentage is positive (green) or negative (red), aiding in quick decision-making.
Inputs:
SOL Ticker: Symbol for Solana (default: BINANCE
).
BTC Ticker: Symbol for Bitcoin (default: BINANCE
).
BTC Dominance Ticker: Symbol for Bitcoin Dominance (default: CRYPTOCAP
.D).
EMA Length: The length of the EMA (default: 20 periods).
Usage:
This script is intended for traders looking to analyze the relationship between SOL and BTC, using EMAs to smooth out price data and highlight trends. The BTC/SOL price difference percentage can help traders identify potential trading opportunities based on the relative movements of SOL and BTC.
Note: Leverage trading involves significant risk and may not be suitable for all investors. Ensure you have a good understanding of the market conditions and employ proper risk management techniques.
Multi Asset Histogram [ChartPrime]Multi Asset Histogram Indicator
Overview:
The "Multi Asset Histogram" indicator provides a comprehensive visualization of the performance of multiple assets relative to each other. By calculating a score for each asset and displaying it in a histogram format, this indicator helps traders quickly identify the trends, dominant asset and the average performance of the assets in the selected group.
Key Features:
◆ Multi-Asset Score Calculation:
The indicator calculates a trend score for each selected asset based on the price source (e.g., hl2).
The trend score is determined by comparing the current price to the prices over the past bars back defined by user, adding or subtracting points based on whether the current price is higher or lower than previous prices.
// Score Function
trscore(src) =>
total = 0.0
for i = 1 to 50
total += (src >= nz(src ) ? 1 : -1)
total
◆ Flexible Symbol Input:
Traders can input up to 10 different symbols (e.g., BTCUSD, ETHUSD, etc.) to be included in the histogram analysis.
◆ Dynamic Visualization:
A histogram is plotted for each asset, with bars colored based on the score, providing a clear visual representation of the relative performance.
Color gradients from red to aqua indicate the performance, with red representing negative scores and aqua representing positive scores.
◆ Adaptive Histogram Lines:
The width and placement of histogram lines adapt based on the calculated scores, ensuring clear visualization regardless of the values.
Dashed lines represent the mean score of all assets, helping traders identify the overall market trend.
◆Detailed Labels and Values:
Labels are placed on the histogram to display the exact score for each asset.
Mean value and zero line labels provide additional context for the overall performance.
◆ Visual Scaling Lines:
Zero line and mean line are clearly marked, helping traders understand the distribution and scale of scores.
Scales on the left and right of the histogram indicate the performance range.
◆ Informative Table:
A table is displayed on the chart, showing the dominant asset (the one with the highest score) and the mean score of all assets.
The table updates dynamically to reflect real-time changes in asset performance.
◆ Settings:
Length: The value of number bars back is greater or less than the current value of the source
Source: The price source to be used for score calculation (e.g., hl2).
Symbols: Up to 10 different asset symbols can be input for analysis.
Usage Notes:
This indicator is useful for traders who monitor multiple assets simultaneously and need a quick visual reference to identify the strongest and weakest performers.
The color coding and dynamic labels make it easy to interpret the relative performance and make informed trading decisions.
This indicator is designed to enhance multi-asset analysis by providing a clear, visual representation of each asset's performance relative to the others, making it easier to identify trends and dominant assets in the market.
Funding Rate [CryptoSea]The Funding Rate Indicator by is a comprehensive tool designed to analyze funding rates across multiple cryptocurrency exchanges. This indicator is essential for traders who want to monitor funding rates and their impact on market trends.
Key Features
Exchange Coverage: Includes data from major exchanges such as Binance, Bitmex, Bybit, HTX, Kraken, OKX, Bitstamp, and Coinbase.
Perpetual Futures and Spot Markets: Fetches and analyzes pricing data from both perpetual futures and spot markets to provide a holistic view.
Smoothing and Customization: Allows users to smooth funding rates using a moving average, with customizable MA lengths for tailored analysis.
Dynamic Candle Coloring: Option to color candles based on trading conditions, enhancing visual analysis.
In the example below, the indicator shows how the funding rate shifts with market conditions, providing clear visual cues for bullish and bearish trends.
How it Works
Data Integration: Uses a secure security fetching function to retrieve pricing data while preventing look-ahead bias, ensuring accurate and reliable information.
TWAP Calculation: Computes Time-Weighted Average Prices (TWAP) for both perpetual futures and spot prices, forming the basis for funding rate calculations.
Funding Rate Calculation: Determines the raw funding rate by comparing TWAPs of perpetual futures and spot prices, then applies smoothing to highlight significant trends.
Color Coding: Highlights the funding rate with distinct colors (bullish and bearish), making it easier to interpret market conditions at a glance.
In the example below, the indicator effectively differentiates between bullish and bearish funding rates, aiding traders in making informed decisions based on current market dynamics.
Application
Market Analysis: Enables traders to analyze the impact of funding rates on market trends, facilitating more strategic decision-making.
Trend Identification: Assists in identifying potential market reversals by monitoring shifts in funding rates.
Customizable Settings: Provides extensive input settings for exchange selection, MA length, and candle coloring, allowing for personalized analysis.
The Funding Rate Indicator by is a powerful addition to any trader's toolkit, offering detailed insights into funding rates across multiple exchanges to navigate the cryptocurrency market effectively.
RSI Screener / Heatmap - By LeviathanThis script allows you to quickly scan the market by displaying the RSI values of up to 280 tickers at once and visualizing them in an easy-to-understand format using labels with heatmap coloring.
📊 Source
The script can display the RSI from a custom timeframe (MTF) and custom length for the following data:
- Price
- OBV (On Balance Volume)
- Open Interest (for crypto tickers)
📋 Ticker Selection
This script uses a different approach for selecting tickers. Instead of inputting them one by one via input.symbol(), you can now copy-paste or edit a list of tickers in the text area window. This approach allows users to easily exchange ticker lists between each other and, for example, create multiple lists of tickers by sector, market cap, etc., and easily input them into the script. Full credit to @allanster for his functions for extracting tickers from the text. Users can switch between 7 groups of 40 tickers each, totaling 280 tickers.
🖥️ Display Types
- Screener with Labels: Each ticker has its own color-coded label located at its RSI value.
- Group Average RSI: A standard RSI plot that displays the average RSI of all tickers in the group.
- RSI Heatmap (coming soon): Color-coded rows displaying current and historical values of tickers.
- RSI Divergence Heatmap (coming soon): Color-coded rows displaying current and historical regular/hidden bullish/bearish divergences for tickers.
🎨 Appearance
Appearance is fully customizable via user inputs, allowing you to change heatmap/gradient colors, zone coloring, and more.
Multi BTC Rolling APY Calculator [presentTrading]█ Introduction and How it is Different
The "Multi BTC Rolling APY Calculator " is an innovative Pine Script indicator tailored for cryptocurrency traders, providing insights into arbitrage opportunities and market sentiment by calculating the Rolling Annual Percentage Yield (APY) between spot and futures prices of Bitcoin. Unlike traditional APY calculators, this tool specializes in capturing the nuances of the highly volatile and less efficient cryptocurrency markets. Rolling APY is derived from traditional market basis arbitrage but adapted to highlight significant discrepancies that frequently occur between derivative and underlying asset prices in crypto markets.
Historical backtesting has revealed that Bitcoin's Rolling APY can serve as a robust indicator of market sentiment:
- Below 0%: Often indicates panic or 'end-of-world' scenarios.
- 0-5%: Signifies extreme market fear.
- 5-10%: Reflects a calm market environment.
- 10-15%: Suggests a moderately warm market.
- 15-20%: Indicates an overheated market.
- **Above 20%: Signals FOMO (fear of missing out).
This nuanced understanding of Rolling APY helps investors not only spot arbitrage opportunities but also gauge the emotional state of the market, providing a dual function that enhances trading strategies in the volatile realm of cryptocurrencies.
█ Strategy: How It Works – Detailed Explanation
🔶 Rolling APY Calculation
The Rolling APY calculation is crucial for understanding the annualized potential returns from arbitrage strategies, given by the formula:
APY = ((Future Price - Spot Price) / Spot Price) * (365 / Days Until Expiration) * 100
This annualizes the observed premium or discount on futures contracts relative to the spot price, providing a year-over-year expectation of returns if one were to engage in arbitrage over the specified period.
🔶 Days Calculation
The accuracy of APY is contingent upon the precise calculation of days until each contract expires:
Days = (Expiration Timestamp - Current Timestamp) / 86400000
This calculation ensures the APY reflects true market dynamics for each futures contract's duration.
█ Trade Direction
While this tool does not provide direct trading signals, it informs traders about potential arbitrage opportunities and the prevailing market sentiment. Traders can leverage this data to make strategic decisions, aligning long or short positions with the anticipated market movements and arbitrage conditions.
█ Usage
By inputting specific parameters related to their market analysis, traders can monitor discrepancies in Bitcoin’s pricing across different timelines, which is especially beneficial for those involved in derivatives trading, arbitrage, and sentiment analysis.
█ Default Settings
- Resolution: Controls the frequency of data (default is daily).
- Show numbers in annual: Determines whether APY is displayed on an annual basis.
- Base Symbol and Future Symbols: Specify the spot and futures markets for analysis.
LONG/SHORT PIFRO que esse indicador faz?
Esse indicador tem o objetivo de plotar o valor de Premium Index e Funding Rate de qualquer token que seja negociado nos futuros da Binance. Basta acessar o token, por exemplo "BTCUSDT" ou "BTCUSDT.P" e o indicador funcionará de forma automática.
A ideia de leitura desse indicador é verificar as maiores oscilações e aliar a analise técnica para tomar uma decisão de compra ou venda.
What does this indicator do?
This indicator aims to plot the Premium Index and Funding Rate value of any token that is traded on Binance futures. Just access the token, for example "BTCUSDT" or "BTCUSDT.P" and the indicator will work automatically.
The idea of reading this indicator is to check the biggest fluctuations and combine technical analysis to make a buy or sell decision.
=============
O que é o Índice Bitcoin Premium?
O índice Bitcoin Premium rastreia o prêmio ou desconto dos contratos perpétuos de Bitcoin em relação ao preço do índice à vista por minuto. O Índice de prêmio é baseado na diferença de preço entre o último preço negociado de um contrato perpétuo e o preço do índice à vista. O preço do índice à vista é um índice à vista ponderado pelo volume, o que significa um preço médio obtido em várias bolsas.
Basicamente, ele mostra para cada criptomoeda se o mercado à vista está negociando acima ou abaixo do contrato perpétuo. O valor pode ser superior, inferior ou igual a 0. Quando o valor está acima de 0, o contrato perpétuo está sendo negociado acima do “preço de referência”, quando o valor está abaixo de 0, o índice à vista está negociando acima do contrato perpétuo .
Como ler o índice premium do Bitcoin?
Existem várias maneiras de visualizar o Índice Bitcoin Premium. Você pode observar o valor (acima ou abaixo de 0) semelhante às taxas de financiamento ou pode observar certos extremos. Esta informação pode ser muito útil na sua estratégia de negociação. O gráfico é exibido como um gráfico de velas com um corpo e o pavio (também conhecido como sombra) da vela. O pavio pode mostrar um certo extremo, enquanto o fechamento da vela mostra o valor.
O valor acima ou abaixo de 0 mostra se o preço dos contratos perpétuos de Bitcoin está sendo negociado acima ou abaixo do índice à vista. Quando o índice à vista está sendo negociado em alta, o prêmio cai abaixo de 0 e fica negativo, geralmente, isso é conhecido como um sinal de alta. Quando o valor está sendo negociado acima de 0 e fica positivo, significa que o contrato perpétuo do Bitcoin está sendo negociado acima do índice à vista, geralmente isso é visto como um sinal de baixa.
Os mercados são um reflexo das emoções humanas e muitas vezes, antes que o preço possa mudar, vemos um certo extremo nas emoções. Esse extremo pode ser identificado no Índice Premium. Quando temos um sinal extremo no Índice Bitcoin Premium as chances de uma reversão aumentam. Esta pode ser uma reversão de curto prazo ou uma reversão maior.
Resumindo, um prêmio de índice à vista é geralmente de alta e um prêmio de derivativos é geralmente um sinal de baixa.
Mas, tal como acontece com as taxas de financiamento, por vezes demora um pouco para que essa pressão de compra ou venda seja expressa no preço e, portanto, é sempre importante combinar esta métrica com outras métricas, como a estrutura de preços.
Por exemplo, aqui na imagem abaixo podemos ver uma leitura extrema no índice premium do Bitcoin. Embora várias horas após o evento ainda vejamos a subida do preço, vemos que está bastante perto de uma reversão e, eventualmente, o preço muda.
Descrição por whaleportal
What is the Bitcoin Premium Index?
The Bitcoin Premium index tracks the premium or discount of Bitcoin perpetual contracts relative to the spot index price per minute. The premium Index is based on the difference in price between the last traded price of a perpetual contract and the spot index price. The spot index price is a volume- weighted spot index, which means an average price taken from multiple exchanges.
Basically, it shows you for each cryptocurrency whether the spot market is trading higher or lower than the perpetual contract. The value can either be above, below, or equal to 0. When the value is above 0, the perpetual contract is trading higher than the “mark price”, when the value is below 0 the spot index is trading higher than the perpetual contract.
How to read the Bitcoin premium index?
There are multiple ways to view the Bitcoin Premium Index. You can either look at the value (above or below 0) similar to the funding rates or you can look at certain extremes. This information can be very helpful in your trading strategy. The chart is displayed as a candlestick chart with a body and the wick (also known as shadow) of the candle. The wick can show a certain extreme, while the close of the candle shows the value.
The value, either above or below 0 shows whether the price of Bitcoin perpetual contracts is trading higher or lower than the spot index. When the spot index is trading higher, the premium will go below 0 and turns negative, usually, this is known to be a bullish sign. When the value is trading higher than 0 and turns positive, it means the Bitcoin perpetual contract is trading higher than the spot index, usually, this is seen as a bearish signal.
The markets are a reflection of human emotions and often before the price can shift we are seeing a certain extreme in emotions. That extreme can be spotted in the Premium Index. When we have an extreme signal in the Bitcoin Premium Index the chances of a reversal increase. This can be either a short-term reversal or a bigger reversal.
In short, a spot index premium is usually bullish and a derivatives premium is usually a bearish signal.
But as with funding rates, it sometimes takes a moment for that buying or selling pressure to be expressed in the price and therefore it is always important to combine this metric with other metrics like the price structure.
For example, here in the image below we can see an extreme reading in the premium index on Bitcoin. Although in several hours after the event we still see the price climb, we do see that it’s rather close to a reversal and eventually the price turns around.
Description by whaleportal
Swing Sniper by Republic of TradersSwing Sniper: A Comprehensive Market Reversal Indicator
Description:
Swing Sniper, developed by Republic of Traders, is a sophisticated trading indicator designed for traders who require precise market reversal signals. It performs optimally across all trading instruments and timeframes, offering both reliability and precision.
How It Works:
Swing Sniper employs a complex signal generation mechanism that activates only when six distinct conditions align within a specific timeframe. This includes:
A modified Commodity Channel Index (CCI) that helps identify short-term price fluctuations.
A Relative Momentum Index (RMI) utilized for recognizing long-term market trends.
A Supertrend indicator serves as a dynamic trend filter.
Several custom parameters that enhance signal reliability.
These components work synergistically to ensure that each trading signal is robust and well-founded. The indicator specializes in capturing significant market reversals by requiring a confirmation of trend reversal through a break and close above or below a previous supply/demand zone.
Usage Instructions:
Upon a valid signal, Swing Sniper advises traders that a potential market reversal has occurred and an entry may be considered in the direction of the new trend. Traders are recommended to set alerts for "once per candle close," allowing them to monitor multiple charts and timeframes simultaneously. Proper risk management is encouraged by placing stop losses just below or above the previous swing low or high and the signal candle's low or high. Take profits should similarly be set to capitalize on potential swings.
Why Choose Swing Sniper:
Swing Sniper is designed not only as a tool for generating entries but as a strategic component of your trading methodology. It brings a clear, analytical approach to navigating the markets, supported by detailed and logical indicator collaboration. This ensures users understand the underlying mechanics and can apply the tool effectively within their trading strategy.
Commitment to Originality and Utility:
Swing Sniper is a unique creation, adhering to TradingView’s standards by offering actionable insights that are distinct from other indicators available on the platform. It is meticulously crafted, featuring an original combination of technical analysis tools tailored to enhance market reversal detection.
Disclaimer:
Past performance is not indicative of future results. Always exercise due diligence and consider market conditions when trading.
Visualization Aid:
The accompanying chart visualization helps users identify signal examples, marked with a red triangle for market reversals short and a green triangle for market reversals long.
Embrace the strategic depth and precision of Swing Sniper and enhance your trading confidence and accuracy in financial markets.
