五个开源交易仓库,用 Jev 当下单前的决策闸门
TradingAgents、OpenBB、freqtrade、NautilusTrader、QuantDinger 组成交易栈,Jev 在临下单前以 70–500 毫秒返回 BUY/SELL/HOLD 和概率。
this is absolutely f*cking insane these 5 GitHub repos hand you the trading desk a fund like BlackRock pays millions for: want a full research team arguing over every trade? -> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk http://github.com/TauricResearch/TradingAgents want the data terminal without the terminal bill? -> OpenBB: an open data platform for analysts, quants and AI agents http://github.com/OpenBB-finance/OpenBB want a bot that actually places the orders? -> freqtrade: free, open-source crypto trading bot with backtesting built in http://github.com/freqtrade/freqtrade want the engine serious quants run in production? -> NautilusTrader: a Rust-native trading engine where the backtest and the live run share the same code http://github.com/nautechsystems/nautilus_trader want all of it in one place? -> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading http://github.com/OpenByteInc/QuantDinger ~282k stars of trading infrastructure. $0 in licences. now the part worth testing. every one of these has the same slow spot: the moment right before the order, where something has to say yes or no. that's where Jev fits. it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds. QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block. the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order. the catch: fast isn't the same as right. none of this is an ATM. paper trade it first. Jev + these five is the setup to test this month. save this and send it to a friend
这条是引用着另一条写的:x.com/hanakoxbt/status/2101709924828934222