US Equity

Requesting Data


Request US Equity data in your algorithm to receive a feed of asset prices in the OnDataon_data method. For more information about the specific dataset we use for backtests, see the US Equities dataset listing. To trade US Equities live, you can use the QuantConnect data provider or one of the brokerage data providers.

Create Subscriptions

To create an Equity subscription, in the Initializeinitialize method, call the AddEquityadd_equity method. The AddEquityadd_equity method returns an Equity object, which contains a Symbol. Save a reference to the Symbol so you can use it in OnDataon_data to access the security data in the Slice.

_symbol = AddEquity("SPY").Symbol;
self._symbol = self.add_equity("SPY").symbol

The AddEquityadd_equity method creates a subscription for a single Equity asset and adds it to your user-defined universe. To create a dynamic universe of Equities, add an Equity universe or an Equity Universe Selection model.

To view the supported assets in the US Equities dataset, see the Data Explorer.


The following table shows the available resolutions and data formats for Equity subscriptions:

ResolutionTradeBarQuoteBarTrade TickQuote Tick
Tickgreen checkgreen check
Secondgreen checkgreen check
Minutegreen checkgreen check
Hourgreen check
Dailygreen check

The default resolution for Equity subscriptions is Resolution.Minute. To change the resolution, pass a resolution argument to the AddEquityadd_equity method.

_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol

To create custom resolution periods, see Consolidating Data.

Asset Primary Exchange

When a stock like Apple is listed, it’s listed on Nasdaq. The open auction tick on Nasdaq is the price that’s used as the official open of the day. NYSE, BATS, and other exchanges also have opening auctions, but the only official opening price for Apple is the opening auction on the exchange where it was listed.

Supported Markets

LEAN groups all of the US Equity exchanges under Market.USA. In live mode, the brokerage routes the orders to the exchange that provides the best price.

To set the market for a security, pass a market argument to the AddEquityadd_equity method.

_symbol = AddEquity("SPY", market: Market.USA).Symbol;
self._symbol = self.add_equity("SPY", market=Market.USA).symbol

The brokerage models have a default market for each asset class. If you set a brokerage model, you may not need to specify the market to use.

Fill Forward

Fill forward means if there is no data point for the current slice, LEAN uses the previous data point. Fill forward is the default data setting. If you disable fill forward, you may get stale fills or you may see trade volume as zero.

To disable fill forward for a security, set the fillForward argument to false when you create the security subscription.

AddEquity("SPY", fillForward: false);
self.AddEquity("SPY", fillForward=False)

Margin and Leverage

LEAN models buying power and margin calls to ensure your algorithm stays within the margin requirements. In backtests, the default leverage for margin accounts is 2x leverage and leverage is not available for cash accounts. To change the amount of leverage you can use for a security, pass a leverage argument to the AddEquityadd_equity method.

_symbol = AddEquity("SPY", leverage: 3).Symbol;
self._symbol = self.add_equity("SPY", leverage=3).symbol

In live trading, the brokerage determines how much leverage you may use. For more information about the leverage they provide, see Brokerages.

Extended Market Hours

By default, your security subscriptions only cover regular trading hours. To subscribe to pre and post-market trading hours for a specific asset, enable the extendedMarketHours argument when you create the security subscription.

AddEquity("SPY", extendedMarketHours: true);
self.AddEquity("SPY", extendedMarketHours=True)

You only receive extended market hours data if you create the subscription with minute, second, or tick resolution. If you create the subscription with daily or hourly resolution, the bars only reflect the regular trading hours.

To view the schedule of regular and extended market hours, see Market Hours.

Data Normalization

The data normalization mode defines how historical data is adjusted for corporate actions. The data normalization mode affects the data that LEAN passes to OnDataon_data and the data from history requests. By default, LEAN adjusts US Equity data for splits and dividends to produce a smooth price curve, but the following data normalization modes are available for Equity subscriptions:

If you use Adjusted, SplitAdjusted, or TotalReturn, we use the entire split and dividend history to adjust historical prices. This process ensures you get the same adjusted prices, regardless of the backtest end date. The ScaledRaw data normalization is only for history requests. When you use ScaledRaw, we use the split and dividend history before the algorithm's current time to adjust historical prices. The ScaledRaw data normalization model enables you to warm up indicators with adjusted data when you subscribe to Raw security data.

To set the data normalization mode for a security, pass a dataNormalizationMode argument to the AddEquityadd_equity method.

_symbol = AddEquity("SPY", dataNormalizationMode: DataNormalizationMode.Raw).Symbol;
self._symbol = self.add_equity("SPY", data_normalization_mode=DataNormalizationMode.RAW).symbol


The AddEquityadd_equity method returns an Equity object, which have the following properties:

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