Category: Technical Indicators

Technical indicators are mathematical calculations based on price, volume, or volatility of a security. They are used to analyze historical data and to predict future price movements. Already hundreds of indicators have been developed and new variants continue to be developed by traders with the aim of getting better analysis results. Being mathematical formulas, all indicators can be backtested on historic data to see how effective they would have been. There are various types of indicators used by different kind of traders or analysts. Common indicators are for example Moving Averages, Relative Strength Index, SMA, RSI or Bollinger Bands®. In our articles of this category you learn how to program indicators and how you can use them to improve your performance. We would like to show you how to use them effectively.

Implied Volatility: Data, Indicators and Usage

Implied volatility is the market’s expectation of future moves. This article will show you a simple way to access Refinitiv Eikon data in Tradesignal, visualise it and scan for exceptional volatility in stocks and ETFs.  Replacing historical volatility by implied volatility will give you new insights to risk management and options trading.

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Drawdown - Days to recovery of equity chart

A Graphic Approach to visualize Drawdown

Trading is about time and money. Combining these two figures into one drawdown indicator gives you a visualization of these two key factors. Trading strategies experience drawdowns from time to time. This is nothing you can avoid. You only can make sure to adjust the trading strategy if the current drawdown exceeds the historic one. So, one key number will

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Sharpe Ratio comparison of two assets

Sharpe Ratio Indicator: Scan for Performance

The Sharpe Ratio is a measure for risk-adjusted returns, developed by Nobel Laureate William F. Sharpe in 1966. It describes the volatility-adjusted excess returns of an asset over a risk-free return. This article highlights the thoughts behind the Sharpe Ratio formula and some practical applications of it when selecting different asset classes.

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