Alpaca Pricing: Individual Trading, Brokerage APIs (2026)

Pricing overview

Alpaca offers a bifurcated pricing structure, catering to individual traders and businesses integrating brokerage services via its APIs. For individual investors, Alpaca's core trading services are structured to be generally free, emphasizing commission-free trading for US stocks, exchange-traded funds (ETFs), and cryptocurrencies Alpaca's official pricing page. This model aims to reduce the barrier to entry for retail traders and those developing personal algorithmic strategies.

For businesses, fintech companies, or larger institutions looking to embed trading functionality, Alpaca provides a comprehensive Broker API. The development and sandbox environments for the Broker API are free, allowing extensive testing and integration work without initial financial commitment. Production usage of the Broker API, which involves live trading for client accounts managed by the integrating business, operates on a custom enterprise pricing model. This model typically involves negotiated rates based on factors such as trading volume, the number of client accounts, the specific services utilized (e.g., fractional shares, margin, options), and the level of support required. This approach allows Alpaca to tailor costs to the specific needs and scale of each business partner.

Market data access is generally integrated into Alpaca's offerings. Real-time market data is typically accessible to users within their trading accounts or through the APIs, with potential for tiered access to more advanced or historical data sets depending on the specific use case or subscription level Alpaca Market Data API reference. Unlike some traditional brokerages that might charge per-trade commissions or for specific data feeds, Alpaca's model focuses on broader access for its core users.

Understanding the distinction between individual trading accounts and the Broker API is crucial when evaluating Alpaca's costs. Individual accounts are designed for direct end-users, while the Broker API facilitates the creation of new financial applications or services by other businesses.

Plans and tiers

Alpaca's pricing is primarily structured around two distinct usage types: individual trading and business integration via the Broker API.

Individual Trading Accounts

• Cost: Free for commission-free trading.
• Features: Access to commission-free US stock, ETF, and cryptocurrency trading. Includes API access for algorithmic trading. No account minimums or data fees for basic real-time data.
• Best For: Retail traders, individual algo-traders, personal investment strategies.

Broker API

• Development/Sandbox Environment: Free.
• Production Environment: Custom enterprise pricing.
• Features: Enables businesses to build their own brokerage platforms, embed trading capabilities, and manage client accounts. Offers extensive API endpoints for account management, order execution, market data, and more.
• Best For: Fintech startups, wealth management platforms, robo-advisors, prop trading firms building custom infrastructure.

A comparison of the primary plans is outlined below:

Free tier and limits

Alpaca offers robust free tiers for both individual users and businesses in development:

• Individual Trading Accounts: Alpaca's primary offering for individual traders is commission-free for US stock, ETF, and cryptocurrency trades Alpaca's pricing details. This means users do not pay a per-trade fee. Other potential fees, such as regulatory fees (e.g., SEC fees, TAF fees), wire transfer fees, or fees for advanced market data subscriptions, may still apply, but the core trading activity itself is free of commission. There are generally no minimum deposit requirements to open an account.
• Broker API Development/Sandbox: For businesses integrating the Broker API, the development and sandbox environments are entirely free. This allows companies to build, test, and refine their applications using Alpaca's comprehensive API without incurring costs until they are ready to launch a production service. The sandbox mirrors the production API structure, providing a realistic development environment. This free access is critical for validating business models and technical integrations before committing to a commercial agreement.

While the free tiers are extensive, it is important to note potential limits or additional costs:

• Market Data: Basic real-time market data is typically included. However, access to more granular, historical, or proprietary data feeds may require specific subscriptions or higher tiers, which would be discussed during Broker API enterprise negotiations or offered as optional add-ons for individual accounts.
• Regulatory Fees: Standard regulatory fees imposed by external bodies (e.g., SEC, FINRA) are passed through to the user and are not controlled by Alpaca FINRA's investor fee disclosure. These are common across the brokerage industry.
• Premium Services: Features like margin trading, options trading, or specific advanced order types might have associated costs or eligibility requirements.

Real-world cost examples

To illustrate Alpaca's pricing, consider these hypothetical scenarios:

Scenario 1: Individual Algorithmic Trader

• User Type: An individual developer building a Python-based algorithmic trading bot for personal use.
• Activity: Executes 50 stock trades and 20 crypto trades per day, holding positions for varying durations. Uses Alpaca's basic real-time market data feed.
• Cost: For core trading activities (buying/selling US stocks, ETFs, and cryptocurrencies), the cost is effectively $0 in commissions. Fees for wire transfers (if used) or specific regulatory fees would apply. The developer would not pay for API access or the underlying brokerage service itself.

Scenario 2: Fintech Startup Building a Robo-Advisor

• User Type: A startup developing an automated investment platform that manages 500 client portfolios.
• Activity: Integrates Alpaca's Broker API to open accounts, execute trades, and manage client assets. Utilizes basic market data and fractional share capabilities.
• Cost (Development Phase): $0. The team can develop and test their entire platform using the free Broker API sandbox for an indefinite period.
• Cost (Production Phase - Estimated): This falls under custom enterprise pricing. The cost would be negotiated based on the 500 client accounts, expected trading volume, and specific features (e.g., fractional shares, API calls per second). A common model might involve a per-account fee, a percentage of assets under management, or a tiered revenue share. Without specific figures, it's not possible to provide an exact number, but it would be a negotiated commercial agreement. For example, a business might pay a tiered fee between $5-$25 per active client account per month, or a percentage of AUM ranging from 0.05% to 0.25% annually, depending on overall volume and services.

Scenario 3: Small Trading Application Integrator

• User Type: A small business creating a niche trading application that aggregates data and allows users to connect their existing Alpaca accounts.
• Activity: The application uses Alpaca's API to fetch user portfolio data and submit orders on behalf of users who have granted permission. It does not create new brokerage accounts but acts as an interface.
• Cost: If the application facilitates trading through users' existing individual Alpaca accounts, the primary costs are borne by the end-users (regulatory fees). The application provider itself would generally not incur direct fees from Alpaca for this type of integration, as it leverages the existing free individual account structure. However, if the application were to become a registered investment advisor (RIA) needing to manage multiple clients under its own branding, it would likely transition to a Broker API production relationship, incurring custom enterprise costs.

How the pricing compares

Alpaca's pricing model, particularly its emphasis on commission-free trading for individual accounts and a free development sandbox for its Broker API, differentiates it from several alternatives.

For Individual Traders:

• Interactive Brokers: While Interactive Brokers offers competitive pricing, it often has tiered commission structures for stocks and ETFs, and a more complex fee schedule for various asset classes. Alpaca's straightforward commission-free model for US equities and crypto simplifies cost calculations for many retail and algorithmic traders.
• TradeStation: TradeStation also provides commission-free stock and ETF trading but might have minimum account balances or fees for specific platforms or data packages. Alpaca's approach is generally more accessible without these stipulations for basic usage.
• Schwab Developer Services (formerly TD Ameritrade APIs): While Schwab offers API access for developers, direct trading through their retail brokerage accounts also features commission-free stock and ETF trades Schwab's pricing information. The primary differentiation often lies in the API's specific features, documentation quality, and ecosystem rather than core commission costs for retail trading.

For Broker API / Embedded Finance:

• Traditional Prime Brokers: Many traditional prime brokers or institutional API providers (e.g., some offerings from large banks) often have high minimum asset requirements, complex fee structures, and significant setup costs. Alpaca's Broker API, with its free development environment and custom enterprise pricing, aims to be more accessible for fintech startups and smaller institutions, lowering the barrier to entry for building embedded finance solutions.
• BaaS (Banking-as-a-Service) Providers: While not direct brokerage competitors, some BaaS platforms offer investment components. Their pricing models often involve setup fees, monthly platform fees, and per-transaction or per-account charges. Alpaca focuses specifically on brokerage and trading, offering a specialized API that may be more cost-effective for pure trading solutions compared to broader BaaS platforms that include banking, lending, and other financial services.

Alpaca's strategy positions it as a cost-effective option for both individual algorithmic traders seeking commission-free execution and businesses wanting to integrate trading capabilities without prohibitive upfront costs during development.