Backtesting
Pine Script vs MQ5 for Backtesting Trading Strategies
A practical comparison of Pine Script and MQL5 for backtesting trading strategies — data, speed, order modelling, portability — and how to test either language with AlgoUser.
The short answer
Pine Script wins on speed of iteration: you can express an idea, see it on a chart and read the performance summary in minutes. MQL5 wins on realism and control: tick-level fills, spreads, multi-symbol baskets, an optimiser and direct order execution at your broker.
Most traders end up using both — Pine Script to discard bad ideas quickly, MQL5 to validate the survivors under conditions closer to live trading.
Side-by-side comparison
| Aspect | Pine Script | MQL5 (.mq5) |
|---|---|---|
| Where it runs | TradingView charts (cloud, browser) | MetaTrader 5 terminal (Windows desktop / VPS) |
| Language style | Small domain-specific language, series-based | C++-like, full procedural language with OOP |
| Learning curve | Hours — a working strategy fits on one screen | Days — you manage state, orders and errors yourself |
| Market data | Whatever the broker/exchange feed on TradingView provides | History from your MT5 broker, plus custom imported bars |
| Tick-level fills | Bar-based by default; intrabar fills are approximated | Real-tick modelling available in Strategy Tester |
| Multi-symbol portfolios | Awkward — one strategy is bound to one chart symbol | Native — one EA can trade a basket of symbols |
| Optimisation | Manual input sweeps | Built-in optimiser, including genetic and cloud modes |
| Live execution | Alerts + webhooks to an external executor | Executes orders directly at the broker |
| Portability of the code | Locked to TradingView | Locked to MetaTrader, but runs on any MT5 broker |
Where backtests usually mislead you
Both languages let you produce an equity curve that will never repeat live. The usual causes:
- Repainting logic — using a value that is only final after the bar closes.
- Zero costs — no spread, commission or slippage in the model.
- Over-fitting — an optimiser sweeping hundreds of parameter sets on one period.
- Survivorship and gaps — thin or patched history hiding the worst sessions.
A comparison between two languages only means something once fees, slippage and the test window are identical on both sides.
Testing either language with AlgoUser
AlgoUser reads the strategy rather than the platform. Send a .pine or .mq5 file to the Telegram bot — or just describe the idea in a message — and it is parsed into a normalised rule set that runs through the same backtest engine.
- Same fees, slippage, stop and target model for both file types, so results are comparable.
- Export the parsed rules back out as Pine Script or as an MQL5 expert advisor.
- Not a replacement for forward testing on your own broker feed.
Run the same idea in both languages
Sign in, drop a strategy file in, and compare the two exports against one backtest.
Open AlgoUser →