We build automated trading systems the right way — through systematic research, rigorous validation, and complete transparency about every metric.
Our Mission
Quant Invest System is an automated EA factory: a pipeline that scans hundreds of trading research sources daily, extracts actionable strategy logic using large language models, converts it into executable MQL5 code, and subjects every single EA to a battery of seven quality gates before it ever reaches a customer.
We believe that algorithmic trading should be built on evidence, not hope. That means publishing every backtest metric — Sharpe ratio, win rate, maximum drawdown, profit factor — and being explicit about where each number comes from. No cherry-picked periods, no curve-fitted optimisations presented as live results.
Our pipeline rejects more than 95% of the strategies it discovers. Only those that survive three independent validation stages — a rapid Python backtest, a full MT5 Strategy Tester run, and thirty days of paper trading — make it into the shop. This is not marketing language; it is the actual gate structure enforced by our infrastructure on every strategy, every day.
What We Stand For
Three principles guide every decision we make — from how we design quality gates to how we present performance data.
We publish every backtest metric for every EA — Sharpe ratio, maximum drawdown, profit factor, win rate, number of trades, test period. We state clearly whether a number comes from backtesting, forward testing, or paper trading. We never hide unflattering results or present optimised in-sample performance without labelling it as such.
Seven quality gates stand between a strategy idea and a published EA. More than 95% of strategies discovered by our research pipeline are rejected before they reach the shop. Thresholds are fixed and non-negotiable: a strategy that barely misses the Sharpe or drawdown cutoff is rejected, full stop. No exceptions, no special cases, no "close enough".
Our pipeline runs every day. AI agents scan academic papers, quantitative finance blogs, GitHub repositories, and trading forums, extracting strategy logic and scoring it for originality and viability. Code generation and security auditing are automated. We ship new validated EAs continuously — not in a seasonal catalogue but as a daily process driven by state-of-the-art language models.
The Numbers
Under the Hood
Purpose-built infrastructure — each component selected for the specific role it plays in the validation pipeline.
Every EA in our shop has passed all 7 quality gates. Browse by strategy style, currency pair, or performance metrics.
Risk Disclosure: Trading forex and CFDs on margin carries a high level of risk and may not be suitable for all investors. Past performance figures — whether from backtesting, forward testing, or paper trading — do not guarantee future results. Automated trading systems can experience technical failures, slippage, and broker execution differences that are not reflected in historical simulations. Please read our full Risk Disclosure before making any purchase decision.