Rigorous probability, volatility and tail-risk statistics across global indices, commodities, crypto and FX — recomputed every trading day, free for the research community.
Volatility, skewness, kurtosis, VaR/CVaR and normality tests — quantifying how often the extremes really happen.
Up/down odds, day-of-week and monthly effects, rebound-after-drop and gap behaviour — the calendar edges most ignore.
RSI, 200-day MA, market-timing and overnight-edge tests, Hurst, clustering and cross-asset correlation — separating folklore from fact.
Algorithmic trading is not magic, nor is it a guarantee of victory. At AlgoTrade Studio, we reject the notion of a "Holy Grail" and acknowledge that perpetual, flawless models do not exist. Markets are dynamic; therefore, algorithms must continually adapt.
Instead of seeking absolute certainty, we use rigorous statistical analysis to position ourselves at a relative advantage. In a world of variance, maintaining a mere 51% win rate provides the marginal edge necessary for long-term survival and profitability. We trust only in data and precise mathematical computation.
To foster a collaborative research environment, we provide free statistical data and quantitative metrics for specific trading pairs directly on this platform. We sincerely hope these insights will assist you in formulating and refining your own systematic trading methodologies.
The resources and data provided here will remain permanently free. AlgoTrade Studio is built and maintained entirely by a team of passionate quantitative developers volunteering their spare time to cultivate this community. If you find our work valuable, we warmly welcome donations to help sustain our server and data costs. If circumstances allow in the future, we may even open our proprietary algorithmic execution models for public access. Thank you for your support, and we wish you successful trading.
21 markets, three timeframes, dozens of metrics and myth-tests — recomputed every trading day from market data.