Global OECD CLI Diffusion Index YoY vs MoMThe Global OECD Composite Leading Indicators (CLI) Diffusion Index is used to gauge the health and directional momentum of the global economy and anticipate changes in economic conditions. It usually leads turning points in the economy by 6 - 9 months.
How to read: Above 50% signals economic expansion across the included countries. Below 50% signals economic contraction.
The diffusion index component specifically shows the proportion of countries with positive economic growth signals compared to those with negative or neutral signals.
The OECD CLI aggregates data from several leading economic indicators including order books, building permits, and consumer and business sentiment. It tracks the economic momentum and turning points in the business cycle across 38 OECD member countries and several other Non-OECD member countries.
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Reversed Choppiness Index with Donchian Channels and SMAIn the chaotic world of trading, where every tick can lead to joy or despair, traders yearn for clarity amid the noise. They crave a mechanism that not only reveals the underlying market trends but also navigates the turbulent waters of volatility with grace. Enter the Reversed Choppiness Index with Donchian Channels and SMA Smoothing—a sophisticated tool crafted for those who refuse to be swayed by the whims of market noise.
This innovative script harnesses the power of the Choppiness Index, flipping it on its head to unveil the true direction of price movement. Choppiness, in its traditional form, indicates when the market is stuck in a sideways range, characterized by erratic price movements that can leave traders bewildered. High choppiness often signals confusion in the market, where prices oscillate without a clear trend, leading to potential losses. Conversely, low choppiness suggests a trending market, whether bullish or bearish, where trades can yield consistent profits. By reversing the Choppiness Index, this tool highlights lower choppiness levels as opportunities for selling when the market shows stability and momentum—perfect for traders looking to enter or exit positions with confidence.
The Donchian Channels serve as reliable markers, defining the boundaries of price action and helping to paint a clearer picture of market dynamics. Traders should look for breakouts from these channels, which may indicate a significant shift in momentum. When the Reversed Choppiness Index trends lower while price breaks above the upper Donchian Band, it may signal a strong buying opportunity, while a rise in choppiness alongside price dipping below the lower band can indicate a potential selling point.
But that's not all—this tool features a dual-layer of smoothing through two distinct Simple Moving Averages (SMAs). The first SMA gently caresses the Reversed Choppiness Index, softening its edges to reveal the underlying trends. The second SMA adds an extra layer of finesse, ensuring traders can spot significant changes with less noise interference.
In a landscape filled with fleeting opportunities and unpredictable swings, this script stands as a beacon of stability. It allows traders to focus on what truly matters—seizing profitable moments without getting caught in the crossfire of volatility. By understanding the dynamics of choppiness through this reversed lens, traders can more effectively navigate their strategies, capitalizing on clearer signals while avoiding the pitfalls of market noise. Embrace this tool and transform the way you trade; the market's whispers will no longer drown out your strategies, paving the way for informed decisions and greater success.
Real Relative Strength Indicator (Multi-Index Comparison)The Real Relative Strength (RRS) indicator implements the "Real Relative Strength" equation, as detailed on the Real Day Trading subreddit wiki. This equation measures whether a stock is outperforming a benchmark (such as SPY or any preferred ETF/index) by calculating price change normalized by the Average True Range (ATR) of both the stock and the indices it’s being compared to.
The RRS metric often highlights potential accumulation by institutional players. For example, in this chart, you can observe accumulation in McDonald’s beginning at 1:25 pm ET on the 5-minute chart and continuing until 2:55 pm ET. When used in conjunction with other indicators or technical analysis, RRS can provide valuable buy and sell signals.
This indicator also supports multi-index analysis, allowing you to plot relative strength against two indices simultaneously—defaulting to SPY and QQQ—to gain insights into the "real relative strength" across different benchmarks. Additionally, this indicator includes an EMA line and background coloring to help automatically identify relative strength trends, providing a clearer visualization than typical Relative Strength Comparison indicators.
TASC 2024.11 Ultimate Strength Index█ OVERVIEW
This script implements the Ultimate Strength Index (USI) indicator, introduced by John Ehlers in his article titled "Ultimate Strength Index (USI)" from the November 2024 edition of TASC's Traders' Tips . The USI is a modified version of Wilder's original Relative Strength Index (RSI) that incorporates Ehlers' UltimateSmoother lowpass filter to produce an output with significantly reduced lag.
█ CONCEPTS
Many technical indicators, including the RSI, lag due to their heavy reliance on historical data. John Ehlers reformulated the RSI to substantially reduce lag by applying his UltimateSmoother filter to upward movements ( strength up - SU ) and downward movements ( strength down - SD ) in the time series, replacing the standard process of smoothing changes with rolling moving averages (RMAs). Ehlers' recent works, covered in our recent script publications, have shown that the UltimateSmoother is an effective alternative to other classic averages, offering notably less lag in its response.
Ehlers also modified the RSI formula to produce an index that ranges from -1 to +1 instead of 0 to 100. As a result, the USI indicates bullish conditions when its value moves above 0 and bearish conditions when it falls below 0.
The USI retains many of the strengths of the traditional RSI while offering the advantage of reduced lag. It generally uses a larger lookback window than the conventional RSI to achieve similar behavior, making it suitable for trend trading with longer data lengths. When applied with shorter lengths, the USI's peaks and valleys tend to align closely with significant turning points in the time series, making it a potentially helpful tool for timing swing trades.
█ CALCULATIONS
The first step in the USI's calculation is determining each bar's strength up (SU) and strength down (SD) values. If the current bar's close exceeds the previous bar's, the calculation assigns the difference to SU. Otherwise, SU is zero. Likewise, if the current bar's close is below the previous bar's, it assigns the difference to SD. Otherwise, SD is zero.
Next, instead of the RSI's typical smoothing process, the USI's calculation applies the UltimateSmoother to the short-term average SU and SD values, reducing high-frequency chop in the series with low lag.
Finally, this formula determines the USI value:
USI = ( Ult (SU) − Ult (SD)) / ( Ult (SU) + Ult (SD)),
where Ult (SU) and Ult (SD) are the smoothed average strength up and strength down values.
Volumatic Variable Index Dynamic Average [BigBeluga]The Volumatic VIDYA (Variable Index Dynamic Average) indicator is a trend-following tool that calculates and visualizes both the current trend and the corresponding buy and sell pressure within each trend phase. Using the Variable Index Dynamic Average as the core smoothing technique, this indicator also plots volume levels of lows and highs based on market structure pivot points, providing traders with key insights into price and volume dynamics.
Additionally, it generates delta volume values to help traders evaluate buy-sell pressure balance during each trend, making it a powerful tool for understanding market sentiment shifts.
BTC:
TSLA:
🔵 IDEA
The Volumatic VIDYA indicator's core idea is to provide a dynamic, adaptive smoothing tool that identifies trends while simultaneously calculating the volume pressure behind them. The VIDYA line, based on the Variable Index Dynamic Average, adjusts according to the strength of the price movements, offering a more adaptive response to the market compared to standard moving averages.
By calculating and displaying the buy and sell volume pressure throughout each trend, the indicator provides traders with key insights into market participation. The horizontal lines drawn from the highs and lows of market structure pivots give additional clarity on support and resistance levels, backed by average volume at these points. This dual analysis of trend and volume allows traders to evaluate the strength and potential of market movements more effectively.
🔵 KEY FEATURES & USAGE
VIDYA Calculation:
The Variable Index Dynamic Average (VIDYA) is a special type of moving average that adjusts dynamically to the market’s volatility and momentum. Unlike traditional moving averages that use fixed periods, VIDYA adjusts its smoothing factor based on the relative strength of the price movements, using the Chande Momentum Oscillator (CMO) to capture the magnitude of price changes. When momentum is strong, VIDYA adapts and smooths out price movements quicker, making it more responsive to rapid price changes. This makes VIDYA more adaptable to volatile markets compared to traditional moving averages such as the Simple Moving Average (SMA) or the Exponential Moving Average (EMA), which are less flexible.
// VIDYA (Variable Index Dynamic Average) function
vidya_calc(src, vidya_length, vidya_momentum) =>
float momentum = ta.change(src)
float sum_pos_momentum = math.sum((momentum >= 0) ? momentum : 0.0, vidya_momentum)
float sum_neg_momentum = math.sum((momentum >= 0) ? 0.0 : -momentum, vidya_momentum)
float abs_cmo = math.abs(100 * (sum_pos_momentum - sum_neg_momentum) / (sum_pos_momentum + sum_neg_momentum))
float alpha = 2 / (vidya_length + 1)
var float vidya_value = 0.0
vidya_value := alpha * abs_cmo / 100 * src + (1 - alpha * abs_cmo / 100) * nz(vidya_value )
ta.sma(vidya_value, 15)
When momentum is strong, VIDYA adapts and smooths out price movements quicker, making it more responsive to rapid price changes. This makes VIDYA more adaptable to volatile markets compared to traditional moving averages
Triangle Trend Shift Signals:
The indicator marks trend shifts with up and down triangles, signaling a potential change in direction. These signals appear when the price crosses above a VIDYA during an uptrend or crosses below during a downtrend.
Volume Pressure Calculation:
The Volumatic VIDYA tracks the buy and sell pressure during each trend, calculating the cumulative volume for up and down bars. Positive delta volume occurs during uptrends due to higher buy pressure, while negative delta volume reflects higher sell pressure during downtrends. The delta is displayed in real-time on the chart, offering a quick view of volume imbalances.
Market Structure Pivot Lines with Volume Labels:
The indicator draws horizontal lines based on market structure pivots, which are calculated using the highs and lows of price action. These lines are extended on the chart until price crosses them. The indicator also plots the average volume over a 6-bar range to provide a clearer understanding of volume dynamics at critical points.
🔵 CUSTOMIZATION
VIDYA Length & Momentum: Control the sensitivity of the VIDYA line by adjusting the length and momentum settings, allowing traders to customize the smoothing effect to match their trading style.
Volume Pivot Detection: Set the number of bars to consider for identifying pivots, which influences the calculation of the average volume at key levels.
Band Distance: Adjust the band distance multiplier for controlling how far the upper and lower bands extend from the VIDYA line, based on the ATR (Average True Range).
COT INDEX v2The **Commitment of Traders (COT)** report is a valuable tool for analyzing market sentiment, providing insight into the positions of futures traders at the close of the Tuesday trading session. Prepared by the Commodity Futures Trading Commission (CFTC), the report is published every Friday at 3:30 p.m. Eastern Time, and the data is freely available on the CFTC website.
Traders are categorized into three groups: **Commercial Traders**, **Non-Commercial Traders** (large speculators), and **Nonreportable** (small speculators). This information can be applied to charts to visualize the direction of the positions held by major market participants and to receive key COT signals.
The **COT index** ranges from 0% to 100%, reflecting market sentiment over the past 26 weeks. Extreme values, below 25% or above 75%, represent bearish or bullish sentiment, respectively. However, it is important to note that the COT index is not a timing tool but rather an indicator of the overall sentiment of major market players.
For a more tailored analysis, you can adjust the period for index calculation, customize chart styles, and highlight extreme areas.
GBP Index vs CAD Index Currency OscillatorGBP vs CAD Currency Oscillator
This custom oscillator compares the relative strength of GBP (British Pound) and CAD (Canadian Dollar) against a basket of other currencies to determine potential overbought and oversold conditions. The indicator is designed to help traders evaluate momentum shifts and identify possible trend reversals between these two currencies, not just the GBPCAD pair.
How it Works:
Currency Index Calculation:
The oscillator calculates the average percentage change in 7 key GBP pairs (GBPUSD, EURGBP, GBPJPY, GBPAUD, GBPNZD, GBPCAD, and GBPCHF).
Similarly, it calculates the average percentage change for 7 key CAD pairs (USDCAD, EURCAD, CADJPY, AUDCAD, NZDCAD, GBPCAD, and CADCHF).
Stochastic Oscillator:
The indicator calculates a 0-100 oscillator for both the GBP and CAD currency indices based on the highest high and lowest low over a user-defined lookback period (default is 14 anlthough 60 works great on 1m chart).
The oscillator is smoothed using a simple moving average (default smoothing period is 3) to reduce noise and improve visual clarity.
Overbought/Oversold Conditions:
Overbought: When both the GBP and CAD oscillators exceed 80, the background turns red, indicating potential overbought conditions.
Oversold: When both oscillators fall below 20, the background turns green, signaling possible oversold conditions.
Crossovers:
When the GBP oscillator crosses above the CAD oscillator, a green dot appears at the bottom of the chart, signaling potential GBP strength.
When the GBP oscillator crosses below the CAD oscillator, a red dot appears, signaling potential CAD strength.
How to Use:
Overbought/Oversold Conditions: Use the red and green background highlights to spot potential overbought or oversold market conditions, helping you identify possible turning points.
Customization Options:
Lookback Period: You can adjust the lookback period for the stochastic calculation, allowing for sensitivity tuning (default: 14).
Smoothing Period: Control the degree of smoothing applied to the oscillators (default: 3).
This oscillator is ideal for traders focused on trading GBP and CAD pairs, offering a comparative analysis that can assist in better decision-making based on relative currency strength.
Nifty IT VolumeHello everyone,
Here I present Nifty IT index volumes calculated based on weighted volumes of all constituents.
A simple formula for calculation:
constituent1.volume*weightage + constituent2.volume*weightage + ....
You can change color and code if there is a change in constituents of the index from NSE. I will share other index volumes soon.
Enjoy!
TechniTrend: Relative Volume IndexRelative Volume Index (RVI)
Short Description:
Relative Volume Index (RVI) with customizable volume bands, moving averages, and alerts for high and low volume thresholds. Includes options for displaying daily and weekly relative volume for enhanced analysis.
Full Description:
The Relative Volume Index is a powerful and versatile tool designed to help traders easily identify volume trends and anomalies in the market. By comparing the current volume to its moving average, this indicator highlights significant increases or decreases in relative volume, allowing traders to catch potential breakouts, breakdowns, or volume spikes early on.
Key Features:
Relative Volume Comparison : Compares the current volume to the moving average volume over a customizable period, highlighting overbought and oversold conditions.
Volume Alerts : Customizable alert thresholds for high and low relative volume to quickly notify traders when volume exceeds predefined limits.
Custom Moving Averages : Choose from various moving average types (SMA, EMA, WMA) to calculate the average volume over a given length.
Volume Normalization : For better readability, volumes greater than 1000 are divided by 1000 and displayed with a 'K' suffix (thousands).
Volume Bands : Configurable high, average, and low volume bands for visual reference.
Daily Relative Volume : Option to display the daily relative volume in comparison to its daily average.
Weekly Average Volume : Option to display the weekly average volume for broader market trends.
Customization Options:
Length : Customize the period for calculating the moving average.
Volume Moving Average : Toggle to show/hide the volume moving average (normalized in 'K').
Alerts : Set thresholds for high and low volume alerts and configure alerts for immediate notification.
Volume Bands : Toggle to show/hide volume bands for easy visual identification of volume zones.
Daily/Weekly Relative Volume : Optional display of relative volume data on a daily and weekly basis.
This indicator provides traders with a more intuitive view of market volume dynamics, making it easier to spot significant volume changes and take action accordingly.
Recommended Settings:
High Volume Alert Threshold: 2.0
Low Volume Alert Threshold: 0.5
Length for Moving Average Calculation: 14
Show Weekly Average Volume: On for broader trend insights
Use this indicator to stay ahead of market moves by monitoring volume trends with precision.
Alerts:
High Volume Alert : Get notified when relative volume exceeds your high threshold.
Low Volume Alert : Get notified when relative volume drops below your low threshold.
TRIN (Arms Index) Trading StrategyThe TRIN (Arms Index), also known as the Short-Term Trading Index, is a technical indicator designed to gauge the internal strength or weakness of the market. It compares the number of advancing and declining stocks to the advancing and declining volume (AD Volume). A TRIN value above 1.0 generally indicates bearish market conditions, while a value below 1.0 suggests bullish market sentiment.
Strategy Rules:
Entry Condition (Long Position): When the TRIN value is above 1.0, the strategy enters a long position, indicating that the market may be oversold, and a potential reversal could occur.
Exit Condition: The strategy exits the long position when the closing price is higher than the previous day’s high, signaling a potential rebound in the market.
This strategy aims to capitalize on short-term market inefficiencies by entering trades during periods of potential market weakness and exiting when signs of recovery appear.
How the TRIN Index Works:
The TRIN is calculated as follows:
TRIN=Advancing Issues / Declining IssuesAdvancing Volume / Declining Volume
TRIN=Advancing Volume / Declining VolumeAdvancing Issues / Declining Issues
A TRIN value above 1.0 indicates that the market is potentially oversold (more declining stocks with higher volume), while a value below 1.0 suggests the market may be overbought (more advancing stocks with higher volume) .
Empirical Evidence:
Market Sentiment Indicator: The TRIN has been widely used as a sentiment indicator. Research by Zweig (1997) suggests that extreme TRIN values can serve as a contrarian signal, indicating potential turning points in the market. For instance, a TRIN above 2.0 is often considered a sign of panic selling, which can precede a market bottom .
Overbought/Oversold Conditions: Studies have shown that indicators like TRIN, which measure market breadth and volume, can be effective in identifying overbought and oversold conditions. According to Fama and French (1988), market sentiment indicators that consider both price and volume data can offer insights into future price movements .
Risks and Limitations:
False Signals:
One of the primary risks of using the TRIN-based strategy is the possibility of false signals. A TRIN value above 1.0 does not always guarantee a market rebound, especially in sustained bearish trends. In such cases, the strategy might enter long positions prematurely, leading to losses.
Research by Brock, Lakonishok, and LeBaron (1992) found that while market indicators like TRIN can be useful, they are not foolproof and can generate multiple false positives, particularly in volatile markets .
Market Regimes:
The effectiveness of the TRIN index can vary depending on the market regime. In strongly trending markets, either bullish or bearish, the TRIN may not provide reliable reversal signals, and relying on it could result in trades that go against the prevailing trend. For instance, during strong bear markets, the TRIN may frequently remain above 1.0, leading to multiple losing trades as the market continues to decline.
Short-Term Focus:
The TRIN strategy is inherently short-term focused, aiming to capture quick market reversals. This makes it sensitive to market noise and less effective for longer-term investors. Moreover, short-term trading strategies often require more frequent adjustments and can incur higher transaction costs, which may erode profitability over time.
Liquidity and Execution Risk:
Since the TRIN strategy requires entering and exiting trades based on short-term market movements, it is vulnerable to liquidity and execution risks. In fast-moving markets, the execution of trades may be delayed, leading to slippage and potentially unfavorable entry or exit points.
Conclusion:
The TRIN (Arms Index) Trading Strategy can be an effective tool for traders looking to capitalize on short-term market inefficiencies and potential reversals. However, it is important to recognize the risks associated with this strategy, including false signals, sensitivity to market regimes, and execution risks. Traders should employ proper risk management techniques and consider combining the TRIN with other indicators to improve the robustness of the strategy.
While the TRIN provides valuable insights into market sentiment, it is not a standalone solution and should be used in conjunction with a broader trading plan that takes into account both technical and fundamental analysis.
References:
Arms, Richard W. "Volume Adjusted Moving Averages." Technical Analysis of Stocks & Commodities, 1993.
Zweig, Martin. Winning on Wall Street. Warner Books, 1997.
Fama, Eugene F., and Kenneth R. French. "Permanent and Temporary Components of Stock Prices." Journal of Political Economy, 1988.
Brock, William, Josef Lakonishok, and Blake LeBaron. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns." Journal of Finance, 1992.
Uptrick: Adaptive Trend Strength Index (ATSI)### **Adaptive Trend Strength Index (ATSI): Trend Detection Tool**
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### Introduction
The **Adaptive Trend Strength Index (ATSI)** is a state-of-the-art indicator designed to offer traders an unparalleled view into market trends. By combining the principles of adaptive trend analysis with advanced volatility filtering, ATSI provides a powerful and visually intuitive method for identifying and following market trends. Its unique algorithm and customizable features make it an essential tool for traders across all markets—whether you're trading stocks, forex, commodities, or cryptocurrencies.
### The Purpose and Design Philosophy
At its core, the ATSI was built with the understanding that financial markets are dynamic, ever-changing entities influenced by a multitude of factors, including market sentiment, economic data, geopolitical events, and, critically, volatility. Traditional trend indicators often fall short by either over-smoothing price data (thus lagging behind the actual trend) or reacting too quickly to minor price fluctuations, resulting in false signals.
**ATSI solves this dilemma by adapting to market conditions in real-time.** It effectively filters out market noise while being sensitive enough to detect meaningful shifts in trend direction. The result is a trend line that is both responsive and smooth, providing traders with a clear, actionable view of the market's current trajectory.
### Key Features and Functionality
#### 1. **Adaptive Trend Calculation**
The heart of ATSI is its adaptive trend algorithm, which adjusts based on market conditions. It leverages a combination of price action analysis and volatility filtering to determine the strength and direction of the trend. Here’s how it works:
- **Volatility Sensitivity:** ATSI incorporates the Average True Range (ATR) to measure market volatility. This volatility measure is then adjusted by a user-defined sensitivity factor. This ensures that the indicator responds dynamically to different market environments—be it high-volatility breakouts or low-volatility consolidations.
- **Adaptive Smoothing:** The trend calculation is further enhanced by an exponential moving average (EMA) applied not just to the raw price data, but also to the resulting trend line itself. This dual-layer smoothing process helps to eliminate noise, resulting in a cleaner and more reliable trend line.
- **Real-Time Adaptation:** Unlike rigid indicators that require constant tweaking to stay relevant in changing market conditions, ATSI adapts in real-time. This adaptability makes it particularly valuable in fast-moving markets where conditions can change rapidly.
#### 2. **Visual Clarity**
In trading, visual clarity can make the difference between spotting a lucrative trend and missing out. ATSI excels in this regard by offering a clear, color-coded trend line that provides instant feedback on market conditions:
- **Thicker and Smoother Line:** ATSI’s trend line is designed to be visually prominent. By default, it is thicker than most standard indicators, making it easy to spot even in dense charts. Additionally, the smoothing applied to the line ensures that it flows smoothly, avoiding the jagged, noisy appearance that can plague other indicators.
- **Color-Coded Trends:** The trend line changes color based on the direction and strength of the trend:
- **Green Line**: Indicates a bullish trend, suggesting upward momentum in the market.
- **Red Line**: Indicates a bearish trend, signaling downward momentum.
- **Gold Line**: Represents a neutral or weak trend, where the market is consolidating or where there is no clear direction.
This color-coding is not just for aesthetics—it’s a critical feature that allows traders to quickly assess market conditions at a glance.
#### 3. **Customizable Parameters**
ATSI is built with the understanding that every trader’s strategy is unique. Whether you’re a day trader looking for short-term trends or a swing trader interested in catching longer moves, ATSI can be tailored to fit your needs:
- **Trend Length:** The length parameter controls how much historical data is considered in the trend calculation. A shorter length will make the indicator more sensitive to recent price changes, while a longer length will smooth out short-term fluctuations, focusing on the broader trend.
- **Smoothing Factor:** This parameter controls the level of smoothing applied to the trend line. A higher smoothing factor will result in a smoother, more stable trend line, while a lower factor will make the line more responsive to quick changes in price.
- **Volatility Sensitivity:** By adjusting the volatility sensitivity, you can control how reactive the indicator is to market volatility. A higher sensitivity makes the indicator more likely to detect trends in volatile markets, while a lower sensitivity helps to filter out noise in calmer markets.
- **Line Width:** ATSI allows you to adjust the thickness of the trend line, ensuring that it stands out on your chart. This is particularly useful when trading on charts with a lot of overlays or when you need a clear, bold line to guide your trading decisions.
- **Color Customization:** The colors for bullish, bearish, and neutral trends can be fully customized to match your personal preferences or to integrate seamlessly with your existing chart setup.
### Practical Applications
ATSI is a versatile indicator that can be applied to a wide range of trading strategies. Here’s how it can enhance your trading:
#### 1. **Trend Following**
For traders who thrive on catching and riding trends, ATSI is a game-changer. Its adaptive nature ensures that you stay in the trend for as long as possible without being shaken out by minor fluctuations. The clear color-coded line makes it easy to identify when a trend starts and ends, providing clear entry and exit signals.
#### 2. **Risk Management**
One of the biggest challenges in trading is managing risk, particularly in volatile markets. ATSI’s volatility sensitivity feature helps traders adjust their strategies based on current market conditions. For example, in a high-volatility environment, the indicator will become more sensitive, allowing you to tighten your stop losses or take profits earlier. Conversely, in a low-volatility market, the indicator will smooth out minor fluctuations, reducing the risk of being stopped out prematurely.
#### 3. **Trend Reversals and Consolidations**
ATSI is also highly effective in identifying trend reversals and periods of consolidation. The neutral (gold) line indicates periods where the market is undecided, which can often precede significant moves. Recognizing these periods can help you avoid getting caught in choppy markets and position yourself for the next big move.
#### 4. **Market Timing**
Timing the market is often seen as the holy grail of trading. While no indicator can predict the future with 100% accuracy, ATSI’s real-time adaptation gives you a significant edge. By responding to changes in market conditions as they happen, ATSI helps you make timely decisions, whether you’re entering a trade, exiting a position, or adjusting your risk parameters.
### Comparative Advantage
What sets ATSI apart from other trend indicators is its combination of adaptability, visual clarity, and ease of use:
- **Adaptability:** Most trend indicators are static—they apply the same calculations regardless of market conditions. ATSI, however, adapts to the market in real-time, ensuring that it remains relevant and reliable across different market environments.
- **Visual Clarity:** The thicker, smoother, color-coded line is not just aesthetically pleasing—it’s a functional design choice that helps you quickly interpret market conditions. Whether you’re glancing at your chart or conducting an in-depth analysis, the ATSI line stands out, providing immediate insight.
- **Ease of Use:** Despite its advanced features, ATSI is incredibly easy to use. The default settings are optimized for general use, but the indicator offers a high degree of customization for those who want to tailor it to their specific trading strategy.
### Conclusion
The **Adaptive Trend Strength Index (ATSI)** is more than just another trend indicator—it’s a comprehensive tool designed to give traders an edge in today’s fast-paced, volatile markets. By combining adaptive trend analysis with advanced volatility filtering, ATSI offers a unique blend of responsiveness and reliability. Its clear, color-coded visual representation of trends makes it easy to use, even for traders who are new to technical analysis, while its customizable parameters provide the flexibility that experienced traders demand.
Whether you’re looking to ride the next big trend, manage your risk more effectively, or simply get a clearer picture of the market’s current direction, ATSI is an invaluable addition to your trading toolkit. With its cutting-edge design and powerful functionality, ATSI is poised to become the go-to indicator for traders seeking to enhance their market analysis and improve their trading outcomes.
25-Day Momentum IndexDescription:
The 25-Day Momentum Index (25D MI) is a technical indicator designed to measure the strength and direction of price movements over a 25-day period. Inspired by classic momentum analysis, this indicator helps traders identify trends and potential reversal points in the market.
How It Works:
Momentum Calculation: The 25D MI calculates momentum as the difference between the current closing price and the closing price 25 days ago. This difference provides insights into the market's recent strength or weakness.
Plotting: The indicator plots the Momentum Index as a blue line, showing the raw momentum values. A zero line is also plotted in gray to serve as a reference point for positive and negative momentum.
Highlighting Zones:
Positive Momentum: When the Momentum Index is above zero, it is plotted in green, highlighting positive momentum phases.
Negative Momentum: When the Momentum Index is below zero, it is plotted in red, highlighting negative momentum phases.
Usage:
A rising curve means an increase in upward momentum - if it is above the zero line. A rising curve below the zero line signifies a decrease in downward momentum. By the same token, a falling curve means an increase in downward momentum below the zero line, a decrease in upward momentum above the zero line.
This indicator is ideal for traders looking to complement their strategy with a visual tool that captures the essence of market momentum over a significant period. Use it to enhance your technical analysis and refine your trading decisions.
Carlos IndexOverview:
The "Carlos Index" is designed to help traders identify potential buy and sell opportunities by combining an Exponential Moving Average (EMA) with recent high and low levels of price action. This indicator is particularly useful for those looking to spot trend reversals and potential support/resistance zones.
How It Works:
EMA Calculation: The indicator uses a customizable EMA to smooth price data, making it easier to identify the underlying trend. The default length of the EMA is set to 20 periods, but this can be adjusted to suit different trading styles or timeframes.
High and Low Levels: The script plots the highest and lowest prices over the last 8 periods, providing a visual representation of recent market extremes. These levels can act as potential support and resistance areas.
Buy and Sell Signals: The indicator generates buy and sell signals based on the crossover and crossunder of the price and the EMA. A "Buy" signal is generated when the price crosses above the EMA and was higher than the previous period, indicating a potential bullish reversal. Conversely, a "Sell" signal appears when the price crosses below the EMA and was lower than the previous period, suggesting a bearish reversal.
Customization:
Length: The period length for the EMA can be adjusted to better fit the user's trading strategy.
Source: Users can select the price source for the EMA calculation, such as close, open, high, or low prices.
Originality and Usefulness:
The "Carlos Index" combines traditional technical analysis tools in a unique way to enhance traders' decision-making processes. While moving averages and price extremes are commonly used in market analysis, this indicator integrates them to provide a more holistic view of market conditions. The combination of EMA crossovers with recent high and low levels helps identify potential trend reversals and market sentiment changes more effectively.
What sets the "Carlos Index" apart is its dual approach to signal generation: it not only uses EMA crossovers but also considers the immediate price movement relative to the previous period, adding a layer of confirmation to buy and sell signals. This feature aims to reduce false signals and improve the accuracy of market entry and exit points.
Additionally, the customizable settings allow traders to tailor the indicator to their specific trading strategies, making it adaptable across different market environments and timeframes. The clear visual cues provided by the plotted EMA and price levels, along with the buy/sell labels, offer an intuitive understanding of market dynamics, even for those new to technical analysis.
Chart Usage:
This indicator should be used on a clean chart for best visibility.
The plotted lines (EMA, highs, and lows) and signals (Buy/Sell labels) provide a straightforward visual guide for traders.
By using the Carlos Index, traders can gain a clearer understanding of market dynamics and make more informed trading decisions. This script combines both trend-following and mean-reversion elements, making it versatile across various market conditions.
Entropy Volatility Index [CHE]I Entropy Volatility Index (EVI)
II An Experimental Script for Measuring Market Volatility
III Introduction
The Entropy Volatility Index (EVI) is an experimental indicator based on concepts from thermodynamics and information theory. The goal of the EVI is to quantify market uncertainty and volatility by calculating the entropy of price changes.
IV Basic Concepts
Entropy in Thermodynamics
Entropy is a measure of disorder or randomness in a system.
The second law of thermodynamics states that entropy in a closed system tends to increase over time.
Entropy in Information Theory
In information theory, entropy measures the uncertainty or information content of a random variable.
The entropy H of a random variable X with probability distribution P(x) is calculated as:
H(X) = -∑ P(x) log P(x)
V Derivation of the EVI
Calculation of Price Changes
Absolute price changes are calculated to serve as the basis for probability calculations.
Creation of the Histogram
A histogram is created and initialized to count the frequency of price changes.
Updating the Histogram
The histogram is updated by counting the frequency of each price change.
Calculation of Probabilities
The probabilities of the price changes are calculated based on their frequencies in the histogram.
Calculation of Entropy
Entropy is calculated using the probabilities of price changes. Higher entropy indicates higher uncertainty or disorder in the market.
Plotting the Indicator
The EVI is plotted to visually represent market volatility and uncertainty.
VI Interpretation of the EVI
High EVI Values
High Volatility: Strong and irregular price movements.
High Uncertainty: Increased market uncertainty.
Possible Market Turning Points: Indicators of potential trend changes.
Low EVI Values
Low Volatility: More consistent and predictable price movements.
Stability: More stable market phases.
Trend Consistency: Indicators of stable trends or sideways movements.
VII Conclusion
The Entropy Volatility Index (EVI) is an experimental script that applies concepts from thermodynamics and information theory to measure market volatility. It offers a new perspective on market uncertainty and can be used as an additional tool for traders.
VIII Example Use Cases
Identifying Volatile Phases: Use the EVI to identify periods of high volatility and prepare for potential rapid price movements.
Risk Management: Adjust your risk management strategy based on the EVI. During high EVI periods, consider hedging positions or adjusting position sizes.
Complementing Other Indicators: Combine the EVI with other technical indicators (e.g., RSI, MACD) for a more comprehensive view of market conditions.
I hope this experimental script provides valuable insights. Thank you for your feedback and suggestions for improvement.
Best regards,
Chervolino
Money Flow Index Trend Zone Strength [UAlgo]The "Money Flow Index Trend Zone Strength " indicator is designed to analyze and visualize the strength of market trends and OB/OS zones using the Money Flow Index (MFI). The MFI is a momentum indicator that incorporates both price and volume data, providing insights into the buying and selling pressure in the market. This script enhances the traditional MFI by introducing trend and zone strength analysis, helping traders identify potential trend reversals and continuation points.
🔶 Customizable Settings
Amplitude: Defines the range for the MFI Zone Strength calculation.
Wavelength: Period used for the MFI calculation and Stochastic calculations.
Smoothing Factor: Smoothing period for the Stochastic calculations.
Show Zone Strength: Enables/disables visualization of the MFI Zone Strength line.
Show Trend Strength: Enables/disables visualization of the MFI Trend Strength area.
Trend Strength Signal Length: Period used for the final smoothing of the Trend Strength indicator.
Trend Anchor: Selects the anchor point (0 or 50) for the Trend Strength Stochastic calculation.
Trend Transform MA Length: Moving Average length for the Trend Transform calculation.
🔶 Calculations
Zone Strength (Stochastic MFI):
The highest and lowest MFI values over a specified amplitude are used to normalize the MFI value:
MFI Highest: Highest MFI value over the amplitude period.
MFI Lowest: Lowest MFI value over the amplitude period.
MFI Zone Strength: (MFI Value - MFI Lowest) / (MFI Highest - MFI Lowest)
By normalizing and smoothing the MFI values, we aim to highlight the relative strength of different market zones.
Trend Strength:
The smoothed MFI zone strength values are further processed to calculate the trend strength:
EMA of MFI Zone Strength: Exponential Moving Average of the MFI Zone Strength over the wavelength period.
Stochastic of EMA: Stochastic calculation of the EMA values, smoothed with the same smoothing factor.
Purpose: The trend strength calculation provides insights into the underlying market trends. By using EMA and stochastic functions, we can filter out noise and better understand the overall market direction. This helps traders stay aligned with the prevailing trend and make more informed trading decisions.
🔶 Usage
Interpreting Zone Strength: The zone strength plot helps identify overbought and oversold conditions. A higher zone strength indicates potential overbought conditions, while a lower zone strength suggests oversold conditions, can suggest areas for entry/exit decisions.
Interpreting Trend Strength: The trend strength plot visualizes the underlying market trend, can help signal potential trend continuation or reversal based on the chosen anchor point.
Using the Trend Transform: The trend transform plot provides an additional layer of trend analysis, helping traders identify potential trend reversals and continuation points.
Combine the insights from the zone strength and trend strength plots with other technical analysis tools to make informed trading decisions. Look for confluence between different indicators to increase the reliability of your trades.
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Money Flow Index Crossover IndicatorThe "Money Flow Index Crossover Indicator" is a specialized technical analysis tool designed to assist traders by providing a clear visualization of potential buy and sell signals based on the Money Flow Index (MFI) and its smoothed moving average (SMA). This indicator delineates overbought and oversold zones, offering valuable insights into market dynamics. It operates as an oscillator on a separate pane, helping traders identify bullish and bearish market conditions with greater precision. By incorporating k-Nearest Neighbor (KNN) machine learning techniques, this indicator enhances the reliability and accuracy of the signals provided.
Originality and Usefulness:
This script is not just a simple mashup of existing indicators but integrates multiple components to create a unique and comprehensive analysis tool. The combined information from the MFI, its smoothed moving average, and the KNN machine learning techniques influence the form and accuracy of the Money Flow Index Average line and the Smoothed Money Flow Index line giving a visually helpful representation of overbought and oversold conditions. These lines are displayed in an oscillator style crossover, allowing users to visualize potential buy and sell zones for setting up potential signals. The user can adjust various settings of these tools behind the code to fine-tune the behavior and sensitivity of these lines. This integration provides a more robust and insightful trading tool that can adapt to different market conditions and trading styles.
How It Works:
Inputs:
MFI Settings:
Show Signals: Allows users to toggle the display of MFI and SMA crossing signals, which are critical for identifying potential market reversals.
Plot Amount: Determines the number of plots in the heat map, ranging from 2 to 28, enabling customization based on user preference.
Source: Defines the data source for MFI calculations, typically set to OHLC4 for a balanced view of price movements.
Smooth Initial MFI Length: Specifies the smoothing length for the initial MFI calculations to reduce noise and enhance signal clarity.
MFI SMA Length: Sets the length for the SMA used to smooth the MFI average, providing a more stable reference line.
Machine Learning Settings:
Use KInSource: Option to average MFI data by adding a lookback to the source, improving the accuracy of historical comparisons.
KNN Distance Requirement: Defines the distance calculation method for KNN (Max, Min, Both) to refine the data filtering process.
Machine Learning Length: Specifies the amount of machine learning data stored for smoothing results, balancing between responsiveness and stability.
KNN Length: Sets the number of KNN used to calculate the allowable distance range, enhancing the precision of the machine learning model.
Fast and Slow Lengths: Defines the lengths for fast and slow MFI calculations, allowing the indicator to capture different market dynamics.
Smoothing Length: Determines the length at which MFI calculations start for a more smoothed result, reducing false signals.
Variables and Functions:
KNN Function: Filters machine learning data to calculate valid distances based on defined criteria, ensuring more accurate MFI averages.
MFI Calculations: Computes both fast and slow MFI values, applies smoothing, and stores them for KNN processing to refine signal generation.
MFI KNN Calculation: Uses the KNN function to calculate the machine learning average of MFI values, enhancing signal reliability.
MFI Average and SMA: Calculates the average and smoothed MFI values, which are crucial for determining crossover signals.
Calculations:
MFI Values: Calculates current fast and slow MFI values and applies smoothing to reduce market noise.
Storage Arrays: Stores MFI data in arrays for KNN processing, enabling historical comparison and pattern recognition.
KNN Processing: Computes the machine learning average of MFI values using the KNN function, improving the robustness of signals.
MFI Average: Scales the MFI average to fit the heat map and calculates the smoothed SMA, providing a clear visual representation of trends.
Crossover Signals: Identifies bullish (MFI crossing above SMA) and bearish (MFI crossing below SMA) signals, which are key for making trading decisions.
Plots and Visuals:
MFI Average and SMA Lines: Plots the MFI average and smoothed SMA on the chart, allowing traders to easily visualize market trends and potential reversals.
Zones: Defines and plots overbought, neutral, and oversold zones for easy visualization. The recommended settings for these zones are:
Overbought Zone: Level set to approximately 24.6, indicating a potential market top.
Neutral Zone: Level set to 14, representing a balanced market condition.
Oversold Zone: Level set to 5.4, signaling a potential market bottom.
Crossover Marks: Plots circles on the chart to indicate bullish and bearish crossover signals, making it easier to spot entry and exit points.
Visual Alerts:
Bullish and Bearish Alerts: one can see overbought and oversold conditions and up alert conditions for bullish and bearish MFI crossover signals, enabling traders to have access to visual cues when these events are on trajectory to occur and, if they occur, act promptly with the visual representation of its zones.
Why It's Helpful:
The "Money Flow Index Crossover Indicator" provides traders with a sophisticated tool to identify potential buy and sell conditions based on the combined information of the MFI and its smoothed moving average. The KNN machine learning techniques enhance the accuracy of this indicator's clear visual representation of overbought, neutral, and oversold zones. This combination of data represented on the chart helps traders make informed decisions about market conditions. This indicator is particularly useful for traders looking to refine their entry and exit points by leveraging advanced data analysis in respect to overbought and oversold conditions.
Disclaimer:
This indicator is intended to assist traders in making informed decisions based on technical analysis. However, it is not a guarantee of future performance and should be used in conjunction with other analysis techniques and risk management practices. Past performance is not indicative of future results, and traders should exercise caution and perform their own due diligence before making any trading decisions.
Trend Follower IndexDescription
The purpose of this index is to give an idea about the possible direction of the trend. The index is overbought between 70 and 100, and oversold between 30 and 0. Unlike a typical RSI calculation, the 6-bar simple moving average of the price is calculated first. Then, the 21-bar RSI value of this moving average is calculated.
Why
The 6-bar average is often one of the best averages to show the direction of prices. Closes below this average give strong indications of a trend reversal. To display this average on the horizontal plane, I used the RSI function and took 21 bar as the reference length. Because in my research, I realized that 21 bar length is the most ideal upper and lower points. That's why I coded an indicator that shows where a trend is going and how far that trend needs to go.
Use
It becomes oversold when the Moving Average falls below 30. Here we encounter 3 types of colors;
Light Blue: Indicates that the average is between 30 and 20. It indicates the stage when small purchases begin and the decline rate of the trend begins to decrease.
Blue: Indicates that the average is between 20 and 10. It indicates the stage when purchases begin to become more frequent and the rate of trend decline begins to decrease slightly.
Green: Indicates that the average has fallen below 10. It is the ideal level for purchasing. This indicates the stage when buying pressure has increased significantly and the trend is ready to reverse upward.
As the level decreases, purchases should increase.
Again, when the average value exceeds 70, it becomes overbought. Here we encounter three types of colors;
Yellow: Indicates that the average is between 70 and 80. It indicates the stage when small sales begin and the rate of increase in the trend begins to decrease.
Orange: Indicates that the average is between 80 and 90. It indicates the stage when sales begin to become more frequent and the upward trend begins to decrease somewhat.
Red: Indicates the average is above 90. It is an ideal level for sales. It now marks the stage where selling pressure has increased significantly and the trend is ready to turn downwards.
As the level increases, sales should increase.
Originality
First of all, this moving average is not an RSI. RSI is only used to establish the average on a flat basis. The RSI is merely a helpful tool in determining how much the moving average will rise or fall.
The 6-bar average of the value obtained by calculating Bar (Opening + Closing + High + Low) / 4 gives information about the main trend. In my research and usage, I have observed that as long as the price remains above this average, the price continues to move upwards, and when it remains below it, it is willing to move downwards.
Disclaimer
This indicator is for informational purposes only and should be used for educational purposes only. You may lose money if you rely on this to trade without additional information. Use at your own risk.
Version
v1.0
Relative Momentum Index with Laguerre FilterThe Relative Momentum Index
The Relative Momentum Index (RMI) is an oscillator that is a variation of the Relative Strength Index (RSI), but incorporates momentum over a variable lookback period rather than just consecutive price changes, which can help identify reversals and filter out noise.
It measures the momentum of price changes over a specified period, rather than just the magnitude of price changes like the RSI does.
It counts up and down days from the current closing price relative to the closing price a certain number of days ago (e.g. 5 days ago), instead of just comparing consecutive daily closes like the RSI
It is calculated by taking the ratio of the average upward price changes to the average downward price changes over a given period, where each change is measured from the close X days ago (X is the “momentum” period)
Like the RSI, the RMI oscillates between 0 and 100, with readings above 70 considered overbought and below 30 oversold.
In trending markets, the RMI tends to remain in overbought or oversold territory for extended periods. In trading ranges, it oscillates more predictably between the overbought and oversold levels.
The RMI is generally considered better than the RSI at identifying potential reversal points, as it incorporates a momentum factor rather than just strength.
It can be used in a similar way to the RSI for trade signals, such as buying when it rises above 30 from below, or selling when it falls below 70 from above
The Laguerre filter
A Laguerre filter is a type of infinite impulse response (IIR) filter used for smoothing signals or data. The Laguerre filter provides a way to apply variable smoothing to a signal by adjusting its pole position, allowing you to control the balance between smoothness and lag based on your preferences. It is an alternative to simple moving averages that can better preserve the shape of the original signal.
Multi Timeframe Relative Strength Index {DCAquant}Overview
The Multi Timeframe Relative Strength Index (MTF RSI) is a powerful technical analysis tool designed to provide insights into market momentum and potential trend reversals across multiple timeframes. Leveraging the Relative Strength Index (RSI) formula, this indicator offers traders a comprehensive view of market sentiment and identifies overbought and oversold conditions.
Key Features
RSI Calculation:
Utilizes the standard RSI calculation formula to measure the magnitude of recent price changes and assess the strength of market trends.
Employs a user-defined length parameter to customize the sensitivity of the RSI calculation based on trading preferences.
Multiple Timeframe Analysis:
Allows traders to analyze RSI values across up to six different timeframes, ranging from minutes to days, providing a holistic perspective on market dynamics.
Calculates RSI values independently for each selected timeframe, enabling comparison and trend identification.
Threshold Levels:
Defines overbought and oversold levels to highlight potential reversal points in market trends.
Offers flexibility in adjusting threshold levels based on individual risk tolerance and trading strategies.
Neutral Zone:
Establishes upper and lower neutral thresholds to identify periods of consolidation or sideways movement in price.
Helps traders distinguish between trending and ranging market conditions for more accurate analysis.
Moving Average Smoothing:
Provides the option to apply moving average smoothing to aggregated RSI values for enhanced clarity and reduced noise.
Enables smoother visualization of RSI trends, facilitating easier interpretation for traders.
Visual Representation:
Plots the aggregated MTF RSI values on the price chart, allowing traders to visually assess market momentum and potential reversal points.
Utilizes color-coded backgrounds to indicate Long, Short, or Neutral conditions for quick identification.
Dynamic Table Display:
Displays trading signals alongside graphical indicators (rocket for Long, snowflake for Short, and star for Neutral) in a customizable table format.
Offers flexibility in table placement and size to accommodate user preferences.
How to Use:
Parameter Configuration:
Adjust the length parameter to fine-tune the sensitivity of the RSI calculation based on the desired timeframe and trading strategy.
Define overbought and oversold levels to identify potential reversal points in market trends.
Customize upper and lower neutral thresholds to differentiate between trending and ranging market conditions.
Interpretation:
Monitor the aggregated MTF RSI values plotted on the price chart for signals of overbought or oversold conditions.
Pay attention to color-coded backgrounds and graphical indicators in the table for actionable trading insights.
Trading Strategy:
Consider entering Long positions when the aggregated MTF RSI is above the upper neutral threshold, indicating potential bullish momentum.
Evaluate Short opportunities when the aggregated MTF RSI falls below the lower neutral threshold, signaling possible bearish momentum.
Exercise caution during Neutral conditions, as there may be uncertainty in market direction.
Risk Management:
Combine MTF RSI analysis with robust risk management strategies, including stop-loss and take-profit levels, to manage trading risks effectively.
Practice prudent risk management and trade within your risk tolerance to minimize potential losses.
Disclaimer
Trading in financial markets involves risk, and past performance is not indicative of future results. The use of the MTF RSI indicator does not guarantee profits or prevent losses. Traders should conduct their own analysis, exercise caution, and seek advice from qualified financial professionals before making trading decisions.
Volume Weighted Relative Strength Index (VWRSI) [AlgoAlpha]Volume Weighted Relative Strength Index 📈✨
The Volume Weighted Relative Strength Index (VWRSI) by AlgoAlpha enhances traditional RSI by incorporating volume weighting, providing a more nuanced view of market strength. It uses custom range detection to measure consolidation strength, applying dynamic scoring to highlight trend phases. The indicator includes customizable moving averages (SMA, EMA, WMA, VWMA) and color-coded visual cues for uptrends and downtrends. Additionally, it marks significant bullish and bearish trend points with symbols, making it easier to identify potential trading opportunities. This powerful tool helps traders make informed decisions by combining volume, price action, and trend analysis.
✨ Key Features :
📊 Volume-Weighted RSI : Combines RSI with volume for better accuracy.
🔄 Range Detection : Identifies consolidation phases.
🎨 Customizable MAs : Choose from various moving averages.
🔔 Alert Capabilities : Set notifications for trend points.
🚀 How to Use :
🛠 Add Indicator : Add the indicator to favorites, and customize the settings to suite your trading style.
📊 Analyze Market : Watch RSI and range score for trends.
🔔 Set Alerts : Get notified of bullish/bearish points.
✨ How It Works :
The Volume Weighted Relative Strength Index (VWRSI) combines traditional RSI with volume weighting to offer a more comprehensive view of market momentum. It calculates the RSI using the closing price, then weights it by volume to enhance the accuracy of the trend analysis. The indicator also includes a custom range detection feature that evaluates consolidation strength by dynamically scoring the RSI over a specified period. This scoring helps identify phases of strong trends and consolidations. Visual elements like color-coded trend fills and symbols for bullish and bearish points make it easier to spot key market movements and potential trading opportunities.
Stay ahead with VWRSI by AlgoAlpha! 📈💡
M2 Global Liquidity Index
The M2 Global Liquidity Index calculates a composite index reflecting the aggregate liquidity provided by the M2 money supply of five major currencies: Chinese Yuan (CNY), US Dollar (USD), Euro (EUR), Japanese Yen (JPY), and British Pound (GBP). The M2 money supply includes cash, checking deposits, and easily convertible near money. By incorporating exchange rates (CNY/USD, EUR/USD, JPY/USD, GBP/USD), the script adjusts each country's M2 supply to a common base (USD) and sums them up to produce a global liquidity metric. This metric, plotted on a daily timeframe, provides an overview of the total liquidity available in these five significant economies.
Understanding the M2 money supply is crucial for assessing liquidity because it represents the amount of money readily available in an economy for spending and investment. Higher M2 levels generally indicate more liquidity, suggesting easier access to capital for businesses and consumers, potentially leading to economic growth. Conversely, lower M2 levels can signify tighter liquidity conditions, possibly resulting in constrained spending and investment.
COT Index Commercials vs large and small SpeculatorsThe COT reports for futures-only Commitments of Traders and for Futures and Options Combined Commitments of Traders are collected on Tuesdays and published every Friday at 3:30 p.m. Eastern time. The raw data is available free of charge on the Commodity Futures Trading Commission (CFTC) website.
Use it to get a better understanding on which side the smart money (producers, commercials) are trading on.
The COT index ranges from 0 to 100%. Extreme values are areas below 25% and above 75%. When the index reaches 0% or 100%, it means that the market participant has the most extreme net short or net long position in the last 26 weeks. Readings below 25% are considered as a short sentiment and readings above 75% are considered long sentiment. However the COT index is not a timing tool. It only shows the overall market sentiment of the smart money in relation over the past 26 weeks.
You can change the period to calculate the index, as well as the style, which lines to show and if you want to highlight the extreme arias.
Slow Volume Strength Index (SVSI)The Slow Volume Strength Index (SVSI), introduced by Vitali Apirine in Stocks & Commodities (Volume 33, Chapter 6, Page 28-31), is a momentum oscillator inspired by the Relative Strength Index (RSI). It gauges buying and selling pressure by analyzing the disparity between average volume on up days and down days, relative to the underlying price trend. Positive volume signifies closes above the exponential moving average (EMA), while negative volume indicates closes below. Flat closes register zero volume. The SVSI then applies a smoothing technique to this data and transforms it into an oscillator with values ranging from 0 to 100.
Traders can leverage the SVSI in several ways:
1. Overbought/Oversold Levels: Standard thresholds of 80 and 20 define overbought and oversold zones, respectively.
2. Centerline Crossovers and Divergences: Signals can be generated by the indicator line crossing a midline or by divergences from price movements.
3. Confirmation for Slow RSI: The SVSI can be used to confirm signals generated by the Slow Relative Strength Index (SRSI), another oscillator developed by Apirine.
🔹 Algorithm
In the original article, the SVSI is calculated using the following formula:
SVSI = 100 - (100 / (1 + SVS))
where:
SVS = Average Positive Volume / Average Negative Volume
* Volume is considered positive when the closing price is higher than the six-day EMA.
* Volume is considered negative when the closing price is lower than the six-day EMA.
* Negative volume values are expressed as absolute values (positive).
* If the closing price equals the six-day EMA, volume is considered zero (no change).
* When calculating the average volume, the indicator utilizes Wilder's smoothing technique, as described in his book "New Concepts In Technical Trading Systems."
Note that this indicator, the formula has been simplified to be
SVSI = 100 * Average Positive Volume / (Average Positive Volume + Average Negative Volume)
This formula achieves the same result as the original article's proposal, but in a more concise way and without the need for special handling of division by zero
🔹 Parameters
The SVSI calculation offers configurable parameters that can be adjusted to suit individual trading styles and goals. While the default lookback periods are 6 for the EMA and 14 for volume smoothing, alternative values can be explored. Additionally, the standard overbought and oversold thresholds of 80 and 20 can be adapted to better align with the specific security being analyzed.
