

Andto
58 posts





the fastest growing GitHub repos in finance this week: 1. dash (+10,977 ★) data apps and dashboards for Python. no JavaScript required. the go-to framework for building interactive analytics UIs. used everywhere from internal tools to public-facing finance dashboards. 2. stock (+10,872 ★) Chinese open-source stock toolkit. fetches market data, calculates indicators, chip distribution, pattern recognition, strategy backtesting, and automated trading. supports both desktop and mobile. 3. freqtrade (+9,994 ★) free open-source crypto trading bot. supports Binance, Bybit, and 20+ exchanges. strategy backtesting, hyperopt parameter tuning, live and dry-run trading. one of the most mature algo trading projects out there. 4. qlib (+9,988 ★) Microsoft's AI-oriented quant investment platform. end-to-end: data - alpha - portfolio - execution. the most serious open-source quant infrastructure out there. 5. yfinance (+9,834 ★) the de facto Python library for pulling market data from Yahoo Finance. prices, dividends, options chains, financials. used in virtually every Python finance tutorial and prototype. 6. scientific-agent-skills (+9,738 ★) ready-to-use agent skills for research, science, engineering, analysis, and finance. plug into any agent framework. covers bioinformatics, cheminformatics, and now Exa search. 7. abu (+9,595 ★) Chinese open-source quant trading system for stocks, options, futures, and Bitcoin. built on Python with machine learning support. one of the older and more comprehensive Chinese quant frameworks. 8. lago (+9,585 ★) open-source metering and usage-based billing API. consumption tracking, subscription management, and invoicing. built on ClickHouse. the open alternative to Stripe Billing and Chargebee. 9. akshare (+9,424 ★) elegant Python financial data library. covers A-shares, bonds, futures, crypto, and macro data. built for researchers and quants working with Chinese and global markets. 10. developer-portfolios (+9,282 ★) curated list of developer portfolio sites for inspiration.








Codex 5.5 hack: "Are you 100% confident in this strategy? If not, find all possible loopholes, suggest proper fixes and run this loop until you are factually 100% confident in the new startegy" This works like charm. It makes Codex 5.5 high perform even better than codex 5.5 extra high. Why? Codex 5.5 is the only model i noticed that is self aware. It never makes high claims unless the model verifies everything. This doesn't work with Opus 4.7 cuz that's a very insecure model. You can paste this prompt over and over again, the model keeps saying "you're absolutely right,....." But with codex, after 2-3 iterations you'll notice yourself it actually patched all loopholes and this genuinely sounds like a good strategy. Try this out, thanks me later.




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