TranslatedAKShare is an elegant and simple financial data interface library for Python, built for human beings! Open-source financial data interface library
- futures
- financial-data
- data-science
- quant
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TranslatedA-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources. Full-stack A-share data toolkit: market quotes and K-lines · same-day tick-by-tick trades · research reports · signals · capital flow · news · financials · announcements · limit-up board trading (打板) · ETF options · public sentiment · macro and interest rates · futures and block trades (including Dalian Commodity Exchange daily K-lines) · event-driven · convertible bonds | No API key needed except for iwencai
- a-share
- ai-agent
- ai-skill
- china-stocks
🔎 📈 🐍 💰 Backtest trading strategies in Python.
- trading
- trading-strategies
- trading-algorithms
- trading-simulator
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
- trading-bot
- python
- bitcoin
- ai-trading
TranslatedStock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code.
- cpp
- jupyter-notebook
- keras
- python
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
A simple but powerful self-hosted finance tracker
Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.
TranslatedLow-code quant backtesting for China A-shares
- a-shares
- backtesting
- backtrader
- china-stock
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
- fat-tails
- finance
- kurtosis
- market-simulation
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.
- algorithmic-trading
- cryptocurrency
- ethereum
- moving-average