基于Python的开源量化交易平台开发框架
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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Open source software that helps you create and deploy high-frequency crypto trading bots
Quantitative analysis, strategies and backtests
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
Building a population of models that trade crypto and mutate iteratively
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.