Backtesting strategies use historical data to help determine the likelihood of a trade going as planned. Find out how to backtest on thinkorswim.
It may sound strange, but three common phrases you often hear in the financial world are:
These phrases remind us that we can’t predict the future. But that doesn’t mean we can’t harness the past to help us make more informed future investment decisions.
But how do you harness the past? With a special “time machine” called backtesting software. It might help you avoid making costly investment errors and even buy you some time (as ironic as it sounds).
Backtesting is the evaluation of a particular trading strategy using historical data. Results presented are hypothetical, they did not actually occur, and there is no guarantee that the same strategy implemented today would produce similar results.
Backtesting can help you evaluate investing strategies rather than investing on a hunch. For example, say you have an idea for a long-term investment you expect to hold for 10 years. You have a hunch your strategy might produce strong returns across the bull and bear markets yet to come. Well, in real time, you don’t have 10 years to test whether your “theory” is a fab doozy or a flunk-worthy deadbeat.
Nobody can afford to wait years to test a “thesis,” but you could use the past to test how your trading strategy might’ve played out. After all, that’s what backtesting is all about: to test an investment idea using historical data.
But there’s one big caveat—past performance doesn’t guarantee future outcomes. Another way to put it: What worked in the past may not work in the present or future in quite the same way, or at all. More on this later. What’s important to remember is that backtesting results are hypothetical. There’s no guarantee that the same strategy implemented today or in the future would produce similar results.
The benefits of backtesting using historical data are pretty cut and dry:
Suppose you think that holding on to a handful of sectors via ETFs or mutual funds might be a good long-term investment strategy. If you backtest your idea, you can see how it might’ve performed over the last year, last two years, the last bull or bear market, or the last several decades. You can even run this test by mixing and matching portfolio combinations.
It might take you more time to run different combinations, but it could be fun, insightful, and speedier than real time. More important, it’s risk free because you’re backtesting in a virtual market environment and not putting real money on the line.
Ultimately, backtesting can help you make a more informed decision about your strategy idea so you don’t end up risking your investment capital on an untested hunch.
You’re probably asking yourself, “What can I backtest?” The short answer: almost anything.
Backtesting stocks is a common practice. You can even backtest futures and forex. Options backtesting might be helpful if you have the right software to do it. And if you’re an algorithmic trader, backtesting trading strategies might help if you have a goal of “strategy diversification” (similar to portfolio diversification, but on the scale of entire strategies rather than individual assets).
If you have the right software, you can eventually design several backtesting strategy “portfolios”—different tests for different markets, different asset classes, and different time periods. Think of it like having your own laboratory for designing personalized investment strategies.
If you want to give backtesting a try, fire up your thinkorswim platform and select OnDemand in the upper right of any tab. The OnDemand tool lets you replay all the data, tick by tick, for any day from December 7, 2009, up to the present (future days are prohibited by time). You can use this on charts, options data, futures, or forex. OnDemand gives you a practice account with $100,000 in “virtual” money so you can enter simulated trades based on the replayed prices and see the profit and loss change.
Here’s an example of how you could use OnDemand to backtest an options strategy. On the Trade tab, enter a symbol, then select OnDemand.
Go back to any date you want using the calendar. Perhaps you want to select a date prior to a price spike or an earnings call. Select a bid/ask to buy or sell an option or options spread and fast-forward to its expiration date to see how the trade might’ve performed (see figure 1).
You can also run OnDemand on the price chart of the underlying security to see how the stock price performed. When you’re done backtesting your options strategy, select OnDemand again to go back to your live trading account. OnDemand is available 24/7, so you can test your trading skills and strategies with replayed live data at any time.
Backtesting trading strategies is emotionless. It assumes you’ll take action without fail when a signal is given. That’s good in theory, but when you get hit by a news event, an unexpected volatility shock, or when market sentiment sours, feelings of anxiety, fear, or greed may overtake what you “know.” So, stay disciplined. And if you suspect something’s wrong with your investment approach despite your backtesting, then resolve it calmly. But there may be times when market volatility jumps out of your paper (backtesting) statistics and throws you a curveball. Expect it to happen—because it will.
Backtesting can help you examine and evaluate investing strategies rather than investing on a hunch. But remember, you have to come up with your ideas first and then test them. And although Ben Franklin did wisely say that “Time is money,” studying what took place over time could be worth it.