Forex auto trading program

AI makes decisions based on historical data and analysis, which can help traders learn from past mistakes. However, good backtesting on the part of your trading robot does not ensure it will perform as well in the future. You may not have time to research current events and historical data if you do not use automated software.

The time saved by using an AI program allows you to attend to other tasks, further ensuring your success. This is due to the restrictions implemented in the Dodd-Frank Act of , which banned CFD trading a popular form of derivative trading in an effort to protect consumers who had, in the past, lost the vast majority of trades partly due to the fraudulent practices of brokers. While these platforms are available across most other continents, make sure you still practice safe trading under more lenient laws.

Using AI through algorithmic trading is anything but an assurance of good performance. These programs are fallible for many reasons in their own right, otherwise every single trader would use them. Moreover, market conditions can change in an instant. Interest rates could shift, causing a currency to rise or fall dramatically. Margin calls may be made, requiring you to make a larger initial investment.

Exchange rates could also change before a contract matures. Current events in the issuing country, governmental stability and industrial profitability all play a part in the price of any currency in which you wish to invest. To start, you set up your time frames and run your program under a simulation; the tool will simulate each tick, knowing that for each unit it should open at certain price, close at a certain price, and reach specified highs and lows. The indicators that my client had chosen, along with the decision logic, were not profitable.

Here are the results of running the program over the M15 window for operations: Note that the balance the blue line finishes below its starting point. This is known as parameter optimization. I did some rough testing to try to infer the significance of the external parameters on the return ratio and arrived at this: Cleaned up, it looks like this: You may think, as I did, that you should use parameter A. Specifically, note the unpredictability of parameter A: For small error values, its return changes dramatically.

In other words, parameter A is very likely to overpredict future results since any uncertainty—any shift at all—will result in worse performance. But indeed, the future is uncertain! And so the return of parameter A is also uncertain. The best choice, in fact, is to rely on unpredictability. Often, a parameter with a lower maximum return but superior predictability less fluctuation will be preferable to a parameter with high return but poor predictability.

As such, you must acknowledge this unpredictability in your forex predictions. It is a mistake to assume you know how the market is going to perform based on past data.

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