Algorithmic trading course

Simple and easy ! However, the practice of algorithmic trading is not that simple to maintain and execute. Remember, if one investor can place an algo-generated trade, so can other market participants.

Examples of strategies used in algorithmic trading include market making, inter-market spreading, arbitrage, or pure speculation such as trend following . Many fall into the category of high-frequency trading (HFT), which is characterized by high turnover and high order-to-trade ratios.

Turn a current strategy into a rule-based one, which can be more easily programed, or select a quantitative method that has already been tested and researched. Then, run your own testing phase using historic and current data. If that checks out, then run the algorithm with real money under a watchful eye.