AI savdosi, bozor tahlili va DeFi kelajagi haqida chuqur tahlillar.
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How to identify the current market regime (bull, bear, sideways) using Hidden Markov Models and automatically switch trading strategies. With Python code and backtests.
How understanding your place in the queue at a price level transforms scalping from guesswork into an engineering problem
Investorlar bilan suhbatlar, hisobotlar va yangiliklardan treyding signallarini olish uchun katta til modellaridan qanday foydalanish mumkin. Chain-of-thought promptlash, tuzilgan ekstraksiya, signallarni bektestlash.
A complete guide to statistical arbitrage for crypto markets. Cointegration, Kalman filter, basis strategies, cross-exchange arbitrage. With backtests and Python code.
Har bir algoritm o'ziga xos barmoq izini qoldiradi. Uni o'qishni o'rganing — va savdongizning narigi tomonida kim turganini bilib olasiz.
Nima uchun xom yillik PnL turli savdo vaqtiga ega strategiyalarni solishtirish uchun yomon ko'rsatkich hisoblanadi. Samarali daromadni qanday hisoblash kerak, nega fill_efficiency zarur va nega 27% PnL bilan strategiya 300% bilan strategiyadan ustun bo'lishi mumkin.
Adaptiv ma'lumotlar granulyarligi backtestlarni qanday tezlashtiradi va saqlash joyini qanday tejaydi: 1m dan 1s, 100ms va xom savdolargacha drill-down faqat narx sezilarli o'zgargan yoki hajm keskin oshgan joyda, butun tarixiy qator bo'ylab emas.