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Investment Portfolio Management

#Finance#Dashboard#Data

Build a investment portfolio management in Reflex with Python, database-ready workflows, polished UI, and tools for portfolio tracking, and asset allocation.

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Code
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Tech Stack
ReflexPythonPandasSQLModelSQLiteCharts
Integrations
d
Key Features
Investment portfolio dashboard with holdings, allocation, returns, and risk metrics
Performance charts for value, contribution, drawdown, and benchmark comparison
Holdings table with asset class, ticker, quantity, cost basis, and unrealized gain
Allocation views by sector, account, region, asset class, and strategy
Scenario and rebalancing notes for investment review workflows
CSV-ready data model for importing positions and exporting portfolio reports
Requirements
Holdings, transactions, prices, accounts, and benchmark data
Asset classes and allocation categories for portfolio grouping
Performance metrics and reporting periods your team wants to track

About This Template

Build a production-ready investment portfolio management with Reflex and Python. This template is designed for finance teams, advisors, and investors tracking portfolio performance who need a usable app structure for portfolio tracking, asset allocation, investment reporting, and performance analysis, not a static mockup. The app pattern includes a focused dashboard, searchable tables, detail views, validated forms, status-aware actions, empty and loading states, and database-ready state management. Use it as a starting point for a investment portfolio management software, portfolio dashboard, investment dashboard, and asset allocation dashboard while keeping full control of the Python codebase. Ahrefs research informed the SEO language for this page, with target terms such as investment portfolio management (2.0K US searches/mo); portfolio dashboard (200 US searches/mo). The copy is written to match real search intent while describing the app a builder can actually generate and customize.

What Users Say

Use this template as a Python-first starting point for a real investment portfolio management, then adapt the data model and workflows to your team.

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