Best Finance Software for Alpaca

Plaid is a global fintech infrastructure platform that enables businesses and consumers to securely connect to financial data and services. Through APIs that connect to more than 12,000 financial institutions across 20+ countries, Plaid operates the world’s largest open banking data network. By removing the complexity of direct bank integrations, Plaid enables developers, financial institutions, and enterprises to build secure, user-friendly, and conversion-optimized financial products. Plaid powers payments, lending, identity verification, fraud prevention, and personal finance applications. Today, more than 100 million people worldwide, including half of U.S. adults, have relied on Plaid through their connections to over 7,000 apps and services.

Sila is an end-to-end payment platform that provides Banking-as-a-Service through a developer-friendly payment API that is scalable and allows for fast and secure money transfers. Sila’s payment platform streamlines building and launching fintech apps and embedded payment products for financial products, fintech, crypto, and Web3. Sila’s offerings include Virtual Accounts, Digital Wallets, KYC/KYB, and ACH payments APIs for software teams. Additional functionality is available through a network of pre-approved and pre-integrated partners (to different degrees). Sila was recognized as the Best Payments as a Service Platform by the 2022 Embedded Banking Awards of Tearsheet. Sila is headquartered in Portland, Oregon.

Diversiview by LENSELL is a cloud-powered platform for advanced portfolio analytics and optimisation, designed to support both individual investors and financial professionals in elevating portfolio performance. With Diversiview, users can: -Compute key portfolio metrics such as expected return, volatility, Alpha, Beta, Sharpe ratio, maximum drawdown, recovery time and more. -Examine diversification in detail at the individual investment level. -Explore projected outcomes for the current allocation alongside thousands of alternative portfolio configurations. -Determine efficient allocations along the Efficient Frontier — including the Minimum Risk, Optimal, and other efficiency-driven portfolios — powered by our proprietary Dual-Objective Optimisation Approach (DOOA). - Run backtests to assess portfolio strategy performance over time. Advisers: the platform also provides the ability to store unlimited portfolios, link them to clients, define benchmarks, build model portfolio

QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible.