Best Backtesting Software for Moving Average Strategies

Almost every charting product now claims it backtests. Very few of them will let you run the one test a moving average trader actually needs, which is not "does the 50/200 golden cross work" but "does it still work at 45/190, at 55/210, on an exponential average, and after I pay for every trade". If you only ever test the pair everybody else tests, you have not tested anything. You have looked up a number.

The short version: Portfolio Visualizer will run a moving average crossover on a free account and is the best starting point for most people, TrendSpider and AmiBroker are the two products that will sweep the parameters properly, thinkorswim is free and will show you signals on a chart but nothing more, and Trade Ideas cannot run a 50/200 daily crossover at all because its backtester does not hold enough history. That last one surprises people, so it is worth explaining first.

The 200-bar floor nobody puts on the comparison page

A 50/200 crossover cannot produce its first signal until 200 trading days of price history exist, which is roughly ten calendar months. That is the floor just to compute the slow average once. To judge the rule you need many completed signals, and on a broad index a 50/200 crossover fires about once every two years, so a useful sample means decades rather than months.

Trade Ideas describes the history available to its OddsMaker backtester as typically six weeks worth. Six weeks is about thirty trading days. You cannot calculate a 200-day moving average from thirty daily bars, so no configuration of OddsMaker will produce a golden cross backtest, and OddsMaker is confined to the Premium tier at $254 a month billed monthly, or $178 a month billed annually, as listed in August 2026. It is a capable tool for the intraday scanning job it was built for. It is simply the wrong instrument for this one, and no review page we have read states the reason.

TrendSpider hits a softer version of the same wall. Backtesting is available on every tier, but the depth is rationed by plan: the Standard plan is limited to roughly 2,000 bars, which is about eight years of daily data, while the Advanced plan reaches around 30,000. Eight years of daily bars will give you perhaps four 50/200 signals on an index. That is enough to draw a chart and nowhere near enough to draw a conclusion.

What each platform will actually do with a crossover

Prices came from each vendor's public pages during August 2026 and vendors change them without notice. Our own row carries the least flattering fact in the table: AgentTrading starts at $19 a month. We would rather you read that here than find out after you have made a decision.

One practical note on TradingView. When we loaded its pricing page on August 29, 2026 from a European server it rendered every figure in euros, not dollars. The page adapts to the region it is served from, which means the dollar prices repeated across review sites are not necessarily what you will be quoted. Check it while logged in from your own location before you budget for it.

What is the best software for backtesting moving average strategies?

For most people it is Portfolio Visualizer, and it costs nothing to find out. Its tactical allocation tool includes a moving average model for a single asset and for each asset in a portfolio, and the documentation states plainly that the model also supports using a moving average crossover as the signal. You get a long history, a benchmark comparison and a drawdown figure without writing a line of code. If your rule is about an index, a sector ETF or an allocation, stop reading here and go use it.

Move up from there for two reasons only. If you need to sweep parameters across a grid, AmiBroker's optimizer and TrendSpider's higher tiers are the serious options, with the tradeoff that one requires learning AFL and the other charges for the history depth. If you need the rule to apply to an individual stock with realistic costs and a plain-English explanation of what went wrong, that is the gap a research bench fills.

Which moving averages are best for a crossover strategy?

There is no best pair, and hunting for one is the fastest route to a curve-fitted result. The 50/200 combination is famous because it is famous, which gives it some genuine self-fulfilling weight on major indices where a lot of capital watches the same line. Faster pairs such as 10/50 or 20/100 react sooner and whipsaw much more, and every extra signal costs a spread and a commission.

The test that matters is stability across neighbors. Run your pair, then run the values on either side of it. If 50/200 looks good and 45/190 and 55/210 look poor, you have found an artifact of two round numbers rather than a property of the market. Any platform that will not let you run those neighboring tests cheaply is not really letting you evaluate the strategy, which is why the parameter sweep, not the headline backtest, is the feature to shop for.

Should I use SMA or EMA for a crossover?

An exponential moving average weights recent prices more heavily, so an EMA crossover fires earlier than a simple one on identical lookbacks. Earlier catches real turns sooner and also catches more false ones, which means more trades, more cost and more slippage. Neither is better in the abstract, and any source that tells you otherwise without showing the trade count is guessing. Run both on your ticker and compare the results after costs rather than before.

Is a free backtester good enough?

For a moving average crossover on an index or an ETF, yes, and that is an unusual thing for a software comparison to admit. Portfolio Visualizer's free tier and QuantConnect's free tier both handle this class of strategy competently, and thinkorswim costs nothing if you already bank with Schwab. Paid tools earn their money on depth of history, parameter optimization, breadth of instruments and speed of iteration. If none of those four is your bottleneck, you are being sold something you will not use.

Where free tools tend to run out is data. AmiBroker famously does not include a price feed at all, and even the platforms that do supply one are giving you a specific vendor's adjusted series, with its own splits, dividends and occasional silent revisions. A backtest inherits every flaw in the data underneath it, which is why teams that run this seriously end up monitoring their data for freshness and silent schema changes rather than assuming a feed is correct because it loaded. If two platforms give you different answers for the same rule on the same ticker, the disagreement is almost always in the data, not the logic.

How many years of data do I need to backtest a crossover?

Enough to contain at least one full bear market and enough completed signals to be worth counting. A 50/200 crossover on a broad index produces roughly one round trip every two years, so a ten-year window may hand you five trades, which cannot support any conclusion at all. Twenty years and a couple of dozen signals is a sensible floor, and it is the reason the bar caps on cheaper platform tiers matter so much more for this strategy than for a short-term one.

It is also worth knowing that the academic record on these rules reversed once someone corrected for the number of rules being searched. Brock, Lakonishok and LeBaron reported strong support for moving average rules on ninety years of Dow Jones data in the Journal of Finance in 1992. Sullivan, Timmermann and White revisited that work in the same journal in 1999, expanded the rule universe well beyond the original twenty-six, applied it to a hundred years of daily Dow data, and used a bootstrap that accounts for data snooping. The performance did not carry into the following decade. That is not a reason to ignore crossovers. It is a reason to test yours on your own window instead of trusting a result someone else found by looking at many rules and reporting the best one.

How to run the test without picking a platform first

Write the rule as a sentence before you open anything: the ticker, the fast average, the slow average, simple or exponential, whether you fill on the signal close or the next open, and what you hold when you are out of the market. Those five choices decide the answer more than the software does, and two backtests that differ on any of them are not comparable no matter how professional the charts look.

Then run the pair you care about, run its neighbors, and read the trade count next to the return. AgentTrading takes that sentence directly, restates it as a rule card you approve, and tests it on more than twenty years of split- and dividend-adjusted daily history with a 0.1% cost charged per trade by default and every assumption printed on the result. You can start with the moving average crossover backtest, read the mechanics of the signal itself in the moving average crossover strategy, and see the broader engine on backtesting software. If your rule is really about trend strength rather than two crossing lines, momentum backtesting is the closer fit, and how long you should backtest covers the sample size question in more depth.

The verdict comes back HELD UP, MIXED or UNDERPERFORMED, and on large-cap single names a golden cross rule comes back UNDERPERFORMED often enough that we would rather show you that than sell you a win rate. Nothing here executes a trade or recommends one.