Futures backtesting software
Futures backtesting lives or dies on contract handling, and most tools are quiet about it.
The finding
16 of the 20 platforms assessed here list futures. 12 support it natively. The other 4 qualify it: you bring the data, or it depends on the broker you connect, or the support stops short of a full backtest.
That distinction is the page. A list of asset classes counts all 16 the same way, which is how people end up choosing a tool and discovering the gap afterwards.
Who ships futures, and how
| Platform | Support | Rigour |
|---|---|---|
| QuantConnect | Native | 6.8 |
| QuantRocket | Native | 6.8 |
| NautilusTrader | Native | 5.8 |
| StrategyQuant X | Native | 5.8 |
| Wealth-Lab | Native | 5.8 |
| NinjaTrader | Nativefutures (native brokerage) | 5.5 |
| TradeStation | Native | 5.5 |
| Zipline Reloaded | Nativefutures (continuous futures support) | 5.5 |
| AmiBroker | Native | 4.5 |
| TradingView | Native | 4.3 |
| Backtrader | Native | 3.8 |
| TrendSpider | NativeUS futures (CME Group) | 3.8 |
| MetaTrader 5 | Broker-dependentfutures (broker/exchange-dependent) | 5.3 |
| Forex Tester | Limitedfutures (Online version) | 4.3 |
| VectorBT | Bring your own data | 5.3 |
| Backtesting.py | Bring your own data | 3.5 |
Levels come from a structured field on every platform, normalised from each vendor's own wording, with the original qualifier kept and shown above.
Why the gap is so wide here
A futures backtest needs continuous contracts, a roll rule and the adjustment method that goes with it. Change the roll from volume to open interest and the equity curve moves. Platforms rarely say which they use, which is why a listed asset class tells you less here than anywhere else.
Ask what the roll rule is before trusting a multi-year futures result. If the tool cannot answer, the backtest is measuring the roll as much as the strategy.
Support is not trustworthiness
Reading the two columns together is the point. Whether a platform can load futures is a data question. Whether the number it hands back means anything is a different one, and it is the one almost nobody checks: only 2 of 20 platforms correct a result for how many variants you tried. A tool can have perfect futures data and still hand you a number that is mostly search luck, which is what overfitting is.
Frequently asked questions
Which backtesting platforms support futures natively?
12 of the 20 assessed here: QuantConnect, QuantRocket, NautilusTrader, StrategyQuant X, Wealth-Lab, NinjaTrader, TradeStation, Zipline Reloaded, AmiBroker, TradingView, Backtrader, TrendSpider. A further 4 list futures but qualify it, either because you supply the data yourself or because it depends on the broker you connect.
Why do so many tools list futures without really supporting it?
A futures backtest needs continuous contracts, a roll rule and the adjustment method that goes with it. Change the roll from volume to open interest and the equity curve moves. Platforms rarely say which they use, which is why a listed asset class tells you less here than anywhere else.
What goes wrong when I supply my own futures data?
Ask what the roll rule is before trusting a multi-year futures result. If the tool cannot answer, the backtest is measuring the roll as much as the strategy.
Does native support mean the backtest is trustworthy?
No. Support is about data and plumbing. Whether the number is trustworthy depends on whether the engine controls look-ahead, models fills honestly, and corrects for how many variants you tried, which is what the rigour column measures and where most platforms score badly. Check both.
Related
Educational content only, not investment advice.