Most popular technical indicators for algorithmic trading

There are many technical indicators that can be used in algorithmic trading, and the most popular ones tend to vary based on the specific trading strategy and the type of market being traded. Some of the most popular technical indicators for algorithmic trading include:

1. Moving averages: Moving averages are a type of indicator that shows the average price of a security over a specified period of time. Moving averages are used to smooth out short-term price fluctuations and identify trends.
2. Bollinger Bands: Bollinger Bands are a technical indicator that consists of a central line and two bands above and below the central line. The central line is typically a 20-day moving average, and the bands are typically set two standard deviations above and below the central line. Bollinger Bands are used to identify overbought and oversold conditions and potential breakouts.
3. MACD: The Moving Average Convergence Divergence (MACD) is a technical indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-day exponential moving average (EMA) from the 12-day EMA. The MACD is used to identify trends and potential buying and selling opportunities.
4. RSI: The Relative Strength Index (RSI) is a technical indicator that measures the strength of a security’s price action. It is calculated using a formula that compares the average gain of the security to the average loss over a specified period of time. The RSI is used to identify overbought and oversold conditions and potential reversals in the security’s price.
5. Stochastic Oscillator: The Stochastic Oscillator is a technical indicator that measures the level of the security’s price relative to its price range over a specified period of time. The Stochastic Oscillator is calculated using a formula that compares the current closing price to the high and low prices over a specified period of time. The Stochastic Oscillator is used to identify overbought and oversold conditions and potential breakouts.
6. Keltner Channel: The Keltner Channel is a technical indicator that is used to identify trends and determine overbought and oversold conditions. It consists of three lines: a central line, an upper band, and a lower band. The central line is typically a 20-day exponential moving average (EMA) of the security’s price, and the upper and lower bands are typically set a certain number of average true ranges (ATR) above and below the central line.
7. Parabolic SAR: The Parabolic Stop and Reverse (SAR) is a technical indicator that is used to identify trends and potential reversals in the price of a security. It is calculated using a formula that compares the current price to the extreme high or low over a specified period of time. The Parabolic SAR is typically displayed as a series of dots on a chart, with the dots appearing above the security’s price in a downtrend and below the security’s price in an uptrend.
8. Average True Range (ATR): The ATR is a technical indicator that measures the volatility of a security’s price. It is calculated using a formula that compares the current price to the high and low prices over a specified period of time. The ATR is typically displayed as a single line on a chart and is expressed in terms of the security’s price.
9. Chaikin Money Flow (CMF): The CMF is a technical indicator that measures the flow of money into and out of a security. It is calculated using a formula that compares the security’s price and volume to a moving average of the security’s price. The CMF is used to identify buying and selling pressure and potential trend changes.
10. On-Balance Volume (OBV): The OBV is a technical indicator that measures the flow of volume into and out of a security. It is calculated by adding the volume on up days and subtracting the volume on down days. The OBV is used to identify buying and selling pressure and potential trend changes.
11. Price Rate of Change (ROC): The ROC is a technical indicator that measures the percentage change in the security’s price over a specified period of time. It is calculated using a formula that compares the current price to the price a certain number of periods ago. The ROC is used to identify potential trend changes and overbought and oversold conditions.
12. Moving Average Convergence Divergence (MACD) Histogram: The MACD Histogram is a technical indicator that is based on the MACD and is used to identify the momentum of a security’s price. It is calculated by subtracting the MACD line from the signal line. The MACD Histogram is typically displayed as a bar chart and is used to identify potential trend changes and overbought and oversold conditions.
13. Williams %R: Williams %R is a technical indicator that measures the level of the security’s price relative to its price range over a specified period of time. It is calculated using a formula that compares the current closing price to the high and low prices over a specified period of time. Williams %R is used to identify overbought and oversold conditions and potential breakouts.
14. Volume-Weighted Moving Average (VWMA): The VWMA is a technical indicator that shows the average price of a security over a specified period of time, with greater weight given to periods with higher volume. It is calculated using a formula that takes into account both the price and volume of the security. The VWMA is used to identify trends and potential buying and selling opportunities.
15. Chaikin Oscillator: The Chaikin Oscillator is a technical indicator that is based on the CMF and is used to identify the momentum of a security’s price. It is calculated by subtracting a 10-day exponential moving average (EMA) of the CMF from a 3-day EMA of the CMF. The Chaikin Oscillator is typically displayed as a single line on a chart and is used to identify potential trend changes and overbought and oversold conditions.
16. Donchian Channel: The Donchian Channel is a technical indicator that is used to identify trends and determine overbought and oversold conditions. It consists of three lines: a central line, an upper band, and a lower band. The central line is typically the average of the security’s highest high and lowest low over a specified period of time, and the upper and lower bands are typically set a certain number of standard deviations above and below the central line.
17. Moving Average Envelope: The Moving Average Envelope is a technical indicator that consists of a central line and two bands above and below the central line. The central line is typically a moving average of the security’s price, and the upper and lower bands are typically set a certain percentage above and below the central line. The Moving Average Envelope is used to identify overbought and oversold conditions and potential breakouts.
18. Accumulation/Distribution Line: The Accumulation/Distribution Line is a technical indicator that measures the flow of money into and out of a security. It is calculated by adding the volume on up days and subtracting the volume on down days, and is used to identify buying and selling pressure and potential trend changes.
19. Fractal Adaptive Moving Average (FRAMA): The FRAMA is a technical indicator that is used to identify trends and smooth out short-term price fluctuations. It is calculated using a formula that adapts to the market’s volatility, and is typically displayed as a single line on a chart. The FRAMA is used to identify potential buying and selling opportunities.
20. Standard Deviation: Standard Deviation is a statistical measure of the dispersion of a set of data points around the mean. It is commonly used as a technical indicator to measure the volatility of a security’s price. Standard Deviation is typically displayed as a single line on a chart and is used to identify overbought and oversold conditions and potential breakouts.

It’s important to note that these are just a few examples of the many technical indicators that can be used in algorithmic trading, and that the specific indicators used will depend on the trading strategy and the market being traded. It is typically best to use a combination of technical indicators in order to get a well-rounded view of the market.