Category: Trading Strategies

The right timing for trading and investment decisions requires a systematic strategy for entry and exit as well as for money management. On this blog we focus on algorithmic trading strategies. Algorithmic or systematic trading strategies refer to trading in clearly defined, pre-tested rules. The basis of such a trading strategy are mainly tools of technical analysis, for example patterns or indicators. With the aid of so-called back tests, recurring patterns and relationships can be identified on the basis of historical data – even before they are used in real trading. In comparison to the discretionary approach, algorithmic trading provides a decisive advantage: Instead of relying on the intuition of the trader, all decisions are based on quantitative factors that manage without the influence of emotions. Our articles give some tips about different systematic trading strategies and show how to develop as well as to improve them.

Parabolic SAR with ADX

Parabolic SAR – Profit from the Parabola.

The Parabolic SAR is an indicator that uses a curve to highlight a trend. A Parabola is a symmetrical plane curve. Consequently, Parabolic motion is experienced by an object that when thrown, moves along a curved path.  In relation to charts, let’s assume the object to be the price and the curve the general motion of that price. If we

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KAMA Threshold on the FTSE

How KAMA Threshold adjusts to Market Volatility

A KAMA Threshold is a combination of a threshold above a special type of moving average – the KAMA. KAMA stands for the Kaufman’s Adaptive Moving Average. The KAMA is a type of moving average which aids in the reduction of fluctuations in data. It adjusts to market volatility by lengthening and shortening depending on market conditions. When the market

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