How to Backtest Your Trading Strategy EASILY - TraderEdge Review & Demo скачать в хорошем качестве

How to Backtest Your Trading Strategy EASILY - TraderEdge Review & Demo

Want to backtest your trading strategy easily and quickly? TraderEdge has you covered. 👉 Get a 14 Day Free TraderEdge Trial here: https://tny.sh/traderedge This video shows you step-by-step how to test your trading plan in the past so that you get the best results possible. Most people backtest at the wrong time of day, which is a mistake. Instead of only backtesting when you are actually trading, you should try out your strategy at different times of the day. Backtesting lets a trader practice a trading strategy by using data from the past to get results and figure out how profitable and risky it is before putting any real money at risk. A well-done backtest that shows good results gives traders confidence that the strategy is sound and will likely make money when used in real life. On the other hand, if a well-done backtest shows less-than-ideal results, traders will change or reject the strategy. Backtesting is a big part of proving the worth of trading strategies, especially those that are hard to evaluate in other ways, like those used by automatic trading systems. Backtesting can be done on any trading idea that can be put into numbers. Some traders and investors may hire a programmer to turn the plan into something that can be tested. Most of the time, this means that a programmer has to put the idea into the language that the trading site uses. The coder can add input variables that can be set by the trader. This lets the trader "tweak" the system. The simple moving average (SMA) crossover method is an example of this. The Best Case for Backtesting The best backtest uses example data from a relevant time period that spans a long enough time to show different market conditions. This makes it easier to figure out if the results of the backtest were just a fluke or if they were based on good dealing. The past data set must include a sample of stocks that is truly representative, including stocks of companies that went bankrupt, were sold, or went out of business. Backtesting will show artificially high results if only stocks from the past that are still around today are used for data. A backtest should take into account all trading costs, no matter how small they seem, because they can add up over the backtesting time and drastically change how profitable a strategy looks. Traders should make sure that these costs are taken into account by their backtesting tools. Affiliate Disclosure: I highlight products and services you might find interesting. If you buy them, we might get a share of the revenue from the sale from our partners. This does not drive my decision as to whether or not a product is featured or recommended.