The 4 best tips for developing algorithmic trading strategies



Which is the process to develop algorithmic trading Strategies?


Financial activity:

Trading

Knowledge level:

Beginner

Reading time: 

4 minutes



Summary
1 - Choose the platform
2 - The data
3 - Start simple
4 - Stay up to date with market conditions

1 -  Choose the platform

Start by identifying the platform that you want to use for the development and the backtest of your algorithmic strategies.

Choosing the platform involves choosing the programming language.
TradingViewProRealTimeMultiCharts, and TradeStation, are good choices for newbies.

You can also create your own trading platform, for example using Python, but you must be an expert programmer.

2 - The data

Gather and analyze data. Algorithmic trading strategies rely on data to make decisions.
You'll need to gather and analyze a variety of data sources, including market data and economic indicators.
Before you deploy your strategy live, you must test it thoroughly to ensure it is working as intended. This can be done only through backtesting, which involves simulating the execution of the strategy on historical data to see how it would have performed.
Remember the proverb: "Garbage in, garbage out (GIGO)". Nonsense (garbage) input data produces nonsense output. If you develop an automated trading strategy using poor data you will obtain a bad backtest. 

3 - Start simple

I suggest to you start with simple strategies like implementing basic indicators with their corresponding entry and exit signals like Moving Averages, RSI, etc., and seeing how they play out, in which scenarios/timeframe they work well, and in which they don’t. A simple strategy could be profitable, too!

And identify your trading objective! What are you trying to achieve with your trading strategy? Do you want to maximize profits, minimize risk, or do something else? Your objective should guide the development of your strategy.

Consider implementing risk management techniques to protect against potential losses. This can include setting stop-loss orders and diversifying your portfolio.


4 - Stay up to date with market conditions

Markets constantly change. They change their trend and sometimes also their nature (trend following vs mean reverting); gold is an example of this.
For this reason, you must stay up to date with market news and perform tests about the nature of the markets you are trading.
Never leave your automated trading system alone! Control its performance ever and, if necessary, turn it off.


A sincere wish of good work to all!




Written by F. GRAMOLA (*).

(*) Member of S.I.A.T., the Italian Society of Technical Analysis (member society of I.F.T.A. – International Federation of Technical Analysts).



Warning

We merely cite our personal opinions for educational purposes only.

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Investing and trading are risky. Don't invest or trade money that you cannot afford to lose

Initial photo by Sam Dan Truong on Unsplash.





 

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