QuantCoinEducational explainers on quant and algorithmic crypto trading for developers: backtesting, strategies, risk management, and Python tooling.https://quantcoin.io/The Python Tooling Stack for Crypto Quant Researchhttps://quantcoin.io/blogs/python-crypto-quant-stack/https://quantcoin.io/blogs/python-crypto-quant-stack/The Python libraries quant researchers use for crypto: data access, pandas wrangling, backtesting engines, and a reproducible research workflow.Wed, 22 Jul 2026 00:00:00 GMTpythontoolingbacktestingmarket-dataPosition Sizing and Risk Management Basicshttps://quantcoin.io/blogs/position-sizing-and-risk/https://quantcoin.io/blogs/position-sizing-and-risk/Survival comes before edge. How position sizing, drawdown math, and volatility targeting decide whether an account lives long enough to matter.Mon, 20 Jul 2026 00:00:00 GMTrisk-managementposition-sizinggetting-startedMomentum vs. Mean-Reversion, Explainedhttps://quantcoin.io/blogs/momentum-vs-mean-reversion/https://quantcoin.io/blogs/momentum-vs-mean-reversion/Two opposite bets about what price does next. What momentum and mean-reversion assume, the market regimes each needs, and how they fail.Sat, 18 Jul 2026 00:00:00 GMTstrategiesmomentummean-reversiongetting-startedWhat Backtesting Is, and Why Naive Backtests Liehttps://quantcoin.io/blogs/why-naive-backtests-lie/https://quantcoin.io/blogs/why-naive-backtests-lie/A backtest is a hypothesis test against the past. The biases — lookahead, survivorship, overfitting — that make naive backtests overstate results.Wed, 15 Jul 2026 00:00:00 GMTbacktestinggetting-startedpython