Brokerages

TradeStation

Introduction

QuantConnect enables you to run your algorithms in live mode with real-time market data. We have successfully hosted more than 200,000 live algorithms and have had more than $22B in volume traded on our servers since 2015.

TradeStation was founded by brothers William (Bill) and Rafael (Ralph) Cruz in 1982 as Omega Research, Inc. In 2001, the company converted itself from a trading software company to an online securities brokerage and renamed itself "TradeStation" with the mission to "create the ultimate trading experience". TradeStation provides access to trading Equities, Equity Options, and Futures for clients in over 150 markets, 34 countries, and 27 currencies. TradeStation also delivers custody, clearing, execution, and billing on behalf of registered advisors.

To view the implementation of the TradeStation brokerage integration, see the Lean.Brokerages.TradeStation repository.

Account Types

TradeStation supports cash and margin accounts. To set the account type in an algorithm, see the TradeStation brokerage model documentation.

To create a TradeStation account, follow the account creation wizard on the TradeStation website.

Asset Classes

Our TradeStation integration supports trading the following asset classes:

You may not be able to trade all assets with TradeStation. For example, if you live in the EU, you can't trade US ETFs. Check with your local regulators to know which assets you are allowed to trade. You may need to adjust settings in your brokerage account to live trade some assets.

Data Providers

You might need to purchase a TradeStation market data subscription for your trading. For more information about live data providers, see Datasets.

Orders

We model the TradeStation API by supporting several order types, order properties, and order updates. When you deploy live algorithms, you can place manual orders through the IDE.

Order Types

The following table describes the available order types for each asset class that our TradeStation integration supports:

Order TypeEquityEquity OptionsIndex OptionsFutures
Marketgreen checkgreen checkgreen checkgreen check
Limitgreen checkgreen checkgreen checkgreen check
Stop marketgreen checkgreen checkgreen checkgreen check
Stop limitgreen checkgreen checkgreen checkgreen check
Market on Opengreen check
Market on Closegreen check
Combo marketgreen checkgreen checkgreen checkgreen check
Combo limitgreen checkgreen checkgreen checkgreen check

Time In Force

We model the TradeStation API by supporting the following TimeInForce instructions:

  • DayDAY
  • GoodTilCanceledGOOD_TIL_CANCELED
  • GoodTilDategood_til_date

Updates

We model the TradeStation API by supporting order updates.

Handling Splits

If you're using raw data normalization and you have active orders with a limit, stop, or trigger price in the market for a US Equity when a stock split occurs, the following properties of your orders automatically adjust to reflect the stock split:

  • Quantity
  • Limit price
  • Stop price
  • Trigger price

Fees

To view the TradeStation trading fees, see the Pricing page on the TradeStation website. To view how we model their fees, see Fees.

Margin

We model buying power and margin calls to ensure your algorithm stays within the margin requirements. If you have more than $25,000 in your brokerage account, you can use the PatternDayTradingMarginModel to make use of the 4x intraday leverage and 2x overnight leverage available on most brokerages from the PDT rule.

Slippage

Orders through TradeStation do not experience slippage in backtests. In live trading, your orders may experience slippage.

To view how we model TradeStation slippage, see Slippage.

Fills

We fill market orders immediately and completely in backtests. In live trading, if the quantity of your market orders exceeds the quantity available at the top of the order book, your orders are filled according to what is available in the order book.

To view how we model TradeStation order fills, see Fills.

Settlements

If you trade with a margin account, trades settle immediately

To view how we model settlement for TradeStation trades, see Settlement.

Security and Stability

When you deploy live algorithms with TradeStation, we don't save your brokerage account credentials.

Deposits and Withdrawals

You can deposit and withdraw cash from your brokerage account while you run an algorithm that's connected to the account. We sync the algorithm's cash holdings with the cash holdings in your brokerage account every day at 7:45 AM Eastern Time (ET).

Demo Algorithm

The following algorithm demonstrates the functionality of the TradeStation brokerage:

Deploy Live Algorithms

You must have an available live trading node for each live trading algorithm you deploy.

Follow these steps to deploy a live algorithm:

  1. Open the project you want to deploy.
  2. Click the Lightning icon Deploy Live icon.
  3. On the Deploy Live page, click the Brokerage field and then click TradeStation from the drop-down menu.
  4. Click on the Environment field and then click one of the environments.
  5. The following table shows the supported environments:

    EnvironmentDescription
    SimulatorTrade with paper money
    LiveTrade with real money
  6. Click on Authenticate button.
  7. On the TradeStation website, login to your account to grant QuantConnect access to your account information and authorization.
  8. Click on the Select Account Id field and then click on one of your accounts.
  9. Click the Node field and then click the live trading node that you want to use from the drop-down menu.
  10. (Optional) In the Data Provider section, click Show and change the data provider or add additional providers.
  11. In most cases, we suggest using the QuantConnect data provider, the TradeStation data provider, or both. The order you set them in the deployment wizard defines their order of precedence in Lean.

  12. (Optional) Set up notifications.
  13. Configure the Automatically restart algorithm setting.
  14. By enabling automatic restarts, the algorithm will use best efforts to restart the algorithm if it fails due to a runtime error. This can help improve the algorithm's resilience to temporary outages such as a brokerage API disconnection.

  15. Click Deploy.

The deployment process can take up to 5 minutes. When the algorithm deploys, the live results page displays. If you know your brokerage positions before you deployed, you can verify they have been loaded properly by checking your equity value in the runtime statistics, your cashbook holdings, and your position holdings.

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