diff --git a/docs.json b/docs.json index c7c8323..0fd5b4f 100644 --- a/docs.json +++ b/docs.json @@ -8,6 +8,10 @@ "dark": "#003D7A" }, "favicon": "/favicon.svg", + "logo": { + "light": "/favicon.svg", + "dark": "/favicon.svg" + }, "navigation": { "tabs": [ { @@ -78,10 +82,6 @@ ] } }, - "logo": { - "light": "/logo/light.svg", - "dark": "/logo/dark.svg" - }, "contextual": { "options": [ "copy", diff --git a/index.mdx b/index.mdx index b287a86..c7ae136 100644 --- a/index.mdx +++ b/index.mdx @@ -41,27 +41,27 @@ This documentation covers the Trading Analysis Dashboard - a Flask-based web app ## Core Features - + Track stock, ETF, and mutual fund holdings with real-time price updates from Finnhub. View allocation charts, performance metrics, and gain/loss analysis with automatic price refresh capabilities. - + Analyze monthly trading performance with detailed P&L breakdowns, win/loss ratios, and trade-by-trade analysis. Includes comprehensive reports with dividend tracking and hybrid matching algorithm for broker-level accuracy. - + Google OAuth 2.0 integration with user-specific data isolation. Support for multiple users with separate brokerage accounts and authorized user controls. - + Import transaction history and holdings via CSV with drag-and-drop support. Real-time processing feedback and upload history tracking for portfolio and trading data. - + Analyze trading performance across custom date ranges. Compare periods, track trends, and generate reports for specific timeframes. - + View trading activity calendar with monthly heat maps showing P&L by day. Quickly identify patterns and peak trading periods.