Learning

21 minutes read
The Average Directional Index (ADX) is a technical indicator that measures the strength of a trend in the market. It is used to determine whether a market is trending or moving sideways.To use the ADX, you need to calculate a series of directional movement values (DMIs) and then average them. The ADX is derived from these average values. The ADX ranges from 0 to 100, with higher values indicating a stronger trend.
22 minutes read
The Commodity Channel Index (CCI) is a popular technical indicator used by traders to analyze and trade in financial markets. Developed by Donald Lambert in 1980, the CCI measures the relationship between an asset's current price, its average price, and its standard deviation.
18 minutes read
The Moving Average Convergence Divergence (MACD) is a popular technical analysis indicator that helps traders identify potential buy and sell signals in financial markets. It consists of two lines - the MACD line and the signal line - which are calculated using a specific formula.To understand how the MACD is calculated, we need to know three main components: the MACD line, the signal line, and the histogram.
23 minutes read
The Percentage Price Oscillator (PPO) is a technical analysis tool used by swing traders to identify potential trend reversals and entry/exit points in the stock market. The PPO is derived from the Moving Average Convergence Divergence (MACD) indicator and measures the percentage difference between two moving averages.To trade with the PPO for swing trading, follow these steps:Understand the PPO: The PPO consists of two lines - the PPO line and the signal line.
19 minutes read
Moving Average Convergence Divergence (MACD) is a popular technical indicator used in swing trading. It is designed to identify potential trend reversals and generate buy or sell signals. MACD consists of two main components: the MACD line and the signal line.The MACD line is created by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. The result is plotted on a graph, providing a visual representation of the difference between the two EMAs.
16 minutes read
Moving Average Convergence Divergence (MACD) is a popular technical analysis tool used by traders and investors to identify potential buying and selling opportunities in the financial markets. It consists of two lines - the MACD line and the signal line - and a histogram. The MACD line is created by subtracting the longer-term Exponential Moving Average (EMA) from the shorter-term EMA. The signal line is a moving average of the MACD line.
22 minutes read
Moving Max is a statistical concept used to analyze and interpret data over a specific period of time. It is calculated by determining the maximum value within a moving window or interval as it shifts across the dataset.To interpret Moving Max calculations, you need to understand the following steps:Define the window size: First, you must determine the desired window size or interval over which the Moving Max will be calculated.
23 minutes read
The Percentage Price Oscillator (PPO) is a technical indicator commonly used by swing traders to identify trends and potential buy/sell signals in the stock market. It measures the ratio between two moving averages of price, expressed as a percentage. By analyzing the shape of the PPO line, traders can gain insights into the strength and direction of price momentum, helping them make better trading decisions.
19 minutes read
The Arms Index, also known as the TRading INdex (TRIN), is a technical analysis tool used by traders and investors to gauge the overall sentiment of the stock market. It was developed by Richard Arms in 1967.The Arms Index is calculated by dividing the number of advancing stocks by the number of declining stocks, known as the Advance-Decline Ratio (ADR), by the ratio of advancing volume to declining volume, known as the Volume-Advance Ratio (VAR).A value above 1.
15 minutes read
The Hull Moving Average (HMA) is a popular technical indicator used by traders for scalping strategies. It is designed to overcome the lagging issue of traditional moving averages by implementing a novel formula that minimizes delays in signal detection.Unlike traditional moving averages, which calculate the average price over a specified number of periods, the HMA utilizes a Weighted Moving Average (WMA) that applies more weight to recent price data.