investment

Consolidating trading logs and calculating P&L from Binance and Futu involves importing broker transaction records into a unified system. The Skill automates daily trade logging, updates realized and floating P&L, and generates unified investment reports across multiple platforms.

Managing investment research notes and author indexing requires linking research authors to their written content and reports. This Skill maintains a centralized author index, binding daily trades to research notes to quickly build a personal investment portfolio canvas and track author viewpoints.

Yes, you can import broker data from multiple sources like Binance, Futu, and China Merchants Securities into one investment log. It uses python-binance, futu-api, and python-dotenv dependencies to integrate trading records and generate unified transaction logs and research materials.

Calculating realized and floating P&L for a personal investment portfolio is done by applying automated P&L computation to imported transaction data. The Skill processes buy and sell actions, prices, currencies, and dates to output an initial status report of realized and unrealized gains.

You need python-binance and futu-api dependencies to track daily trades and generate P&L reports if importing data directly from those specific platforms. The Skill relies on these libraries alongside python-dotenv to automate transaction logging and coordinate P&L calculation across sources.