Forex Tester is software that simulates the forex market with unparalleled realism. Forex Tester uses historical forex price data. You can therefore speed up time, pause or go straight to particular interesting “events” in time. Forex Tester is easy backtest forex data analysis beginners to use, but it also includes an API for traders who know how to program.
Spreads and swaps can be defined for each currency pair, making the simulation even more realistic as you can simulate any broker you want. The data stream includes historical data from various brokers. It is often said that most traders lose all of their money during the first year. So, what characterises a successful trader? The best traders all emphasise the importance of backtesting. Backtesting is the use of a market’s historical data to determine if a trading strategy would have been profitable.
Although there is no guarantee, a strategy that would have been profitable in the past has a high probability of being successful in the future. Manual backtesting requires many months of simulation, but with Forex Tester it only takes a few hours because you control the speed of the simulated market. This allows you to test not just one, but several strategies. The automatic backtesting of expert advisors is even faster. Test strategies with real data in ticks that include floating spreads. Optimise the parameters of an EA – Forex Tester can test all possible combinations very quickly.
MT4 is one of the best trading platforms out there. The software includes a backtesting feature, but it has major flaws. You can try the software before you buy it. Click here to download the demo version for free. The other features are identical to the paid version. You can get a full refund if you’re not completely satisfied!
The refund guarantee is valid for 30 days. Jump to navigation Jump to search Backtesting is a term used in modeling to refer to testing a predictive model on historical data. In a trading strategy, investment strategy or risk modeling, backtesting seeks to estimate the performance of a strategy or model if it had been employed during a past period. This requires simulating past conditions with sufficient detail, making one limitation of backtesting the need for detailed historical data.