6. 9. 2026
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QuantMonitor AlgoTrading research studio
Your way to better trading robots and more stable results
It’s not difficult when you know how and have the right tools, templates, and workflows.
All you need for your algo-trading at one place:
Download example & premium robots.
Create new unique trading robots using our templates and custom projects for StrategyQuant software.
Monitor your trading platform 24/7. With deployer toolbox you can deploy unlimited number of strategies from StrategyQuant to MetaTrader platform with ease.
Indicators
Unique trading indicators (Coming soon)
We share what we do, to inspire and get inspired. Whether you are looking for some trading robots or good know&how.
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Trading strategies and tools.
What's new on our blog:
24. 8. 2026
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8. 8. 2026
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27. 7. 2026
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23. 7. 2026
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21. 7. 2026
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What works the best for us
How do we work?
Market edge gathered over the years
Some things works better than others, we tested thousands of strategies to find those with higher probability of success.
Precise backtesting on the tick data
Before deploy we test all strategies using tick data directly in trading platform to avoid dissparencies.
StrategyQuant software
StrategyQuant is the most comprehensive software for creating trading robots on the market. We are using it for developing trading robots.
AI combined with human supervising
We are using power of AI where it make sense, luckily human supervising is still main player.
All weather portfolios
When it comes to trading, then we always think in term of portfolio of strategies which complement each other.
Team cooperation
In algotrading you can multiply your knowledge by cooperation in team. This is what we live and believe.
Start exploring QuantMonitor resources & know-how:
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Risk Disclosure
QuantMonitor provides trading tools, strategies, research and educational content for informational purposes only. Nothing on this website constitutes investment advice or a recommendation to buy or sell any financial instrument.
Trading involves substantial risk and may result in the loss of some or all invested capital. Past performance, backtests, simulations, demo results and individual user experiences are not indicative of future results. Individual results vary.