告诉我，你希望这个项目继续加速开发迭代 ❤️ & ☕️
What is this?
Qbot is a free, AI-oriented quantitative investment research platform that covers the whole loop: data acquisition, strategy development, backtesting, simulated trading, and live trading.
Qbot is a free, AI-oriented quantitative investment research platform that covers the whole loop: data acquisition, strategy development, backtesting, simulated trading, and live trading.Is it a desktop app, a web platform, or a Python library I code against?It's a platform: a GUI client on the front (some features also work in the web) with a Python backend that does data processing and event-driven trade scheduling.
It's a platform: a GUI client on the front (some features also work in the web) with a Python backend that does data processing and event-driven trade scheduling.How do I get it running?Install Python 3.8 or 3.9 — the only versions it has been tested on — clone the repo, and you can run strategies locally like python backend/pytrader/strategies/workflowbycode.py. Online docs live at ufund-me.github.io/Qbot.
Install Python 3.8 or 3.9 — the only versions it has been tested on — clone the repo, and you can run strategies locally like python backend/pytrader/strategies/workflowbycode.py. Online docs live at ufund-me.github.io/Qbot.Do I need to be a Python developer or an experienced trader to use it?Not fully — the author says a little basic Python knowledge and a bit of trading experience are enough to appreciate what the platform does.
Not fully — the author says a little basic Python knowledge and a bit of trading experience are enough to appreciate what the platform does.Can I connect it to my brokerage and let it trade right away?The intended flow is to prove a strategy first: before live access, the platform runs evaluation and backtesting, then simulated trading with near-real latency and slippage emulation. Live automated trading is the final stage.
The intended flow is to prove a strategy first: before live access, the platform runs evaluation and backtesting, then simulated trading with near-real latency and slippage emulation. Live automated trading is the final stage.Which machine learning models are in the strategy zoo?Boosting models (XGBoost, LightGBM, CatBoost, DoubleEnsemble, TabNet), sequence and attention models (LSTM, ALSTM, GRU, Transformer, TFT, TCN, GATs, HIST, Localformer), plus reinforcement learning and LLM strategies — benchmark results are collected in the model zoo.
Boosting models (XGBoost, LightGBM, CatBoost, DoubleEnsemble, TabNet), sequence and attention models (LSTM, ALSTM, GRU, Transformer, TFT, TCN, GATs, HIST, Localformer), plus reinforcement learning and LLM strategies — benchmark results are collected in the model zoo.Does everything run locally, or does my trading data go to some server?It bills itself as an AI quant trading bot with fully local deployment: the Python backend on your own machine handles data processing and trade scheduling.
It bills itself as an AI quant trading bot with fully local deployment: the Python backend on your own machine handles data processing and trade scheduling.Why did the author build this instead of using an existing platform?The README says it targets a current product gap and the pain points of retail traders, and the whole platform was released for free as open source.
The README says it targets a current product gap and the pain points of retail traders, and the whole platform was released for free as open source.What are similar projects?abu, qlib, astra-quant-agent, awesome-quant, anti-gambling-trader-tw, Vibe-Trading, daily_stock_analysis, stock
abu, qlib, astra-quant-agent, awesome-quant, anti-gambling-trader-tw, Vibe-Trading, daily_stock_analysis, stockWhich topics is it in?quantitative-trading, bitcoin, trading-bot, quant, algorithmic-trading, stock-market, quantitative-finance, fintech, trading, cryptocurrency, blockchain, reinforcement-learning
quantitative-trading, bitcoin, trading-bot, quant, algorithmic-trading, stock-market, quantitative-finance, fintech, trading, cryptocurrency, blockchain, reinforcement-learning