--- title: "SSC Eze" description: "Our SS&C Eze integration lets you deploy live trading algorithms on our co-located servers that trade the capital you have in your SS&C Eze account." canonical: https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/brokerages/ssc-eze markdown: https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/brokerages/ssc-eze.md language: python source: https://github.com/QuantConnect/Documentation/tree/master/01%20Cloud%20Platform/10%20Live%20Trading/02%20Brokerages/19%20SSC%20Eze modified: 2026-10-26 index: https://www.quantconnect.com/llms.txt --- # SSC Eze [Documentation](https://www.quantconnect.com/docs/v2.md) > [Cloud Platform](https://www.quantconnect.com/docs/v2/cloud-platform.md) > [Live Trading](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading.md) > [Brokerages](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/brokerages.md) > SSC Eze > Code examples are shown in Python. Append `?lang=csharp` to this URL for the C# version of this page. ## Introduction QuantConnect enables you to run your algorithms in live mode with real-time market data. [SS&C Eze](https://qnt.co/ssc-eze), former Eze Software, was founded by Sean McLaughlin in 1995. SS&C Eze provides a multi-asset and multi-broker execution management system (EMS) that provides fast, seamless, and centralized access to extensive liquidity across global equities, bonds, futures, options, and digital assets. ## Account Types SS&C Eze supports order routing via their EMS (execution management system). It's a margin account, where you set the buying power in the wizard when you're deploying to a professional prime brokerage account. ### Create an Account Contact SS&C Eze's [sales team](https://qnt.co/ssc-eze) to create an account. ### Paper Trading The SS&C Eze doesn't support paper trading, but you can follow these steps to simulate it with QuantConnect: 1. In the `initialize` method of your algorithm, [set the SS&C Eze brokerage model and your account type](https://www.quantconnect.com/docs/v2/writing-algorithms/reality-modeling/brokerages/supported-models/ssc-eze.md). 2. [Deploy your algorithm with the QuantConnect Paper Trading brokerage](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/brokerages/quantconnect-paper-trading.md#15-Deploy-Live-Algorithms). ## Asset Classes Our [SS&C Eze](https://qnt.co/ssc-eze) integration supports the following asset classes: - [US Equities](https://www.quantconnect.com/docs/v2/writing-algorithms/securities/asset-classes/us-equity.md) - [Equity Options](https://www.quantconnect.com/docs/v2/writing-algorithms/securities/asset-classes/equity-options.md) - [Futures](https://www.quantconnect.com/docs/v2/writing-algorithms/securities/asset-classes/futures.md) - [Future Options](https://www.quantconnect.com/docs/v2/writing-algorithms/securities/asset-classes/future-options.md) - [Indices](https://www.quantconnect.com/docs/v2/writing-algorithms/securities/asset-classes/index.md) - [Index Options](https://www.quantconnect.com/docs/v2/writing-algorithms/securities/asset-classes/index-options.md) You may not be able to trade all assets with SS&C Eze. 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 We recommend the [QuantConnect data provider](https://www.quantconnect.com/docs/v2/cloud-platform/datasets/quantconnect.md), which is free and supplies [US Equities](https://www.quantconnect.com/docs/v2/cloud-platform/datasets/quantconnect/us-equities.md), [US Equity Options](https://www.quantconnect.com/docs/v2/cloud-platform/datasets/quantconnect/us-equity-options.md), [US Index Options](https://www.quantconnect.com/docs/v2/cloud-platform/datasets/quantconnect/us-index-options.md), and [Futures](https://www.quantconnect.com/docs/v2/cloud-platform/datasets/quantconnect/futures.md) data during live trading. It also supplies [SPX and VIX Index data](https://www.quantconnect.com/docs/v2/cloud-platform/datasets/quantconnect/us-indices.md), which SPX and VIX Index Options need for the underlying index. It doesn't supply Future Options data, so combine it with the [SS&C Eze data provider](https://www.quantconnect.com/docs/v2/cloud-platform/datasets/ssc-eze.md) to trade Future Options. To receive that data, you might need to purchase a market data subscription from SS&C Eze. For more information about live data providers, see [Datasets](https://www.quantconnect.com/docs/v2/cloud-platform/datasets.md). ## Orders We model the Eze API by supporting several order types, the `TimeInForce` order property, and order updates. When you deploy live algorithms, you can [place manual orders](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/algorithm-control.md#03-Place-Manual-Trades) through the IDE. ### Order Types The following table describes the available order types for each asset class that our [SS&C Eze](https://qnt.co/ssc-eze) integration supports: | Order Type | Equity | Equity Options | Futures | Future Options | Index Options | | --- | --- | --- | --- | --- | --- | | [Market](https://www.quantconnect.com/docs/v2/writing-algorithms/trading-and-orders/order-types/market-orders.md) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | | [Limit](https://www.quantconnect.com/docs/v2/writing-algorithms/trading-and-orders/order-types/limit-orders.md) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | | [Stop market](https://www.quantconnect.com/docs/v2/writing-algorithms/trading-and-orders/order-types/stop-market-orders.md) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | | [Stop limit](https://www.quantconnect.com/docs/v2/writing-algorithms/trading-and-orders/order-types/stop-limit-orders.md) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | | [Market on Open](https://www.quantconnect.com/docs/v2/writing-algorithms/trading-and-orders/order-types/market-on-open-orders.md) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | | | | | | [Market on Close](https://www.quantconnect.com/docs/v2/writing-algorithms/trading-and-orders/order-types/market-on-close-orders.md) | ![green check](https://cdn.quantconnect.com/i/tu/check.png) | | | | | ### Order Properties We model the SS&C Eze API. The following table describes the members of the `EzeOrderProperties` object that you can set to customize order execution. | Property | Data Type | Description | Default Value | | --- | --- | --- | --- | | `time_in_force` | `TimeInForce` | A [TimeInForce](https://www.quantconnect.com/docs/v2/writing-algorithms/trading-and-orders/order-properties.md#03-Time-In-Force) instruction to apply to the order. The following instructions are supported: `DAY` `GOOD_TIL_CANCELED` `good_til_date` | `TimeInForce.GOOD_TIL_CANCELED` | | `account` | `str` | Sets a semi-colon separated list of trade or neutral accounts the user has permission for, e.g., "TAL;TEST;USER1;TRADE" or "TAL;TEST;USER2;NEUTRAL". | | | `account_type` | `str` | Sets the account type for the order. E.g., **"119"** for margin orders in Eze EMS. | | | `notes` | `str` | Sets the user message or notes. | | | `route` | `str` | Sets the route name as shown in SS&C Eze EMS. | | ### Updates We model the SS&C Eze API by supporting [order updates](https://www.quantconnect.com/docs/v2/writing-algorithms/trading-and-orders/order-management/order-tickets.md#04-Update-Orders). ### Handling Splits If you're using raw [data normalization](https://www.quantconnect.com/docs/v2/writing-algorithms/securities/asset-classes/us-equity/requesting-data.md#11-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](https://www.quantconnect.com/docs/v2/writing-algorithms/securities/asset-classes/us-equity/corporate-actions.md#02-Splits) occurs, the following properties of your orders automatically adjust to reflect the stock split: - Quantity - Limit price - Stop price - Trigger price ## Fees Orders filled with SS&C Eze are subject to the fees of the SS&C Eze Execution Management System and your prime brokerage destination. To view how we model their fees, see [Fees](https://www.quantconnect.com/docs/v2/writing-algorithms/reality-modeling/brokerages/supported-models/quantconnect-paper-trading.md#06-Fees). ## Margin We model [buying power](https://www.quantconnect.com/docs/v2/writing-algorithms/reality-modeling/brokerages/supported-models/ssc-eze.md#07-Buying-Power) and [margin calls](https://www.quantconnect.com/docs/v2/writing-algorithms/reality-modeling/margin-calls.md) to ensure your algorithm stays within the margin requirements. ## Slippage Orders through SS&C Eze do not experience slippage in backtests and [QuantConnect Paper Trading](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/brokerages/quantconnect-paper-trading.md). In live trading, your orders may experience slippage. To view how we model SS&C Eze slippage, see [Slippage](https://www.quantconnect.com/docs/v2/writing-algorithms/reality-modeling/brokerages/supported-models/ssc-eze.md#05-Slippage). ## Fills QuantConnect fills market orders immediately and completely in backtests and [QuantConnect Paper Trading](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/brokerages/quantconnect-paper-trading.md). 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 Eze order fills, see [Fills](https://www.quantconnect.com/docs/v2/writing-algorithms/reality-modeling/brokerages/supported-models/ssc-eze.md#04-Fills). ## Settlements If you trade with a margin account, trades settle immediately To view how we model settlement for SS&C Eze trades, see [Settlement](https://www.quantconnect.com/docs/v2/writing-algorithms/reality-modeling/brokerages/supported-models/ssc-eze.md#08-Settlement). ## Security and Stability When you deploy live algorithms with SS&C Eze, we don't save your 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 SS&C Eze brokerage: ```python # Demonstrate SS&C Eze brokerage functionality with an EMA crossover strategy on SPY. class SSCEzeDemoAlgorithm(QCAlgorithm): def initialize(self) -> None: self.set_start_date(2024, 9, 1) self.set_end_date(2024, 12, 31) self.set_cash(100000) self.set_brokerage_model(BrokerageName.EZE, AccountType.MARGIN) symbol = self.add_equity("SPY", Resolution.DAILY).symbol self._fast = self.ema(symbol, 10, Resolution.DAILY) self._slow = self.ema(symbol, 50, Resolution.DAILY) def on_data(self, slice: Slice) -> None: if not self._slow.is_ready: return if self._fast.current.value > self._slow.current.value and not self.portfolio.invested: self.set_holdings("SPY", 1) elif self._fast.current.value < self._slow.current.value and self.portfolio.invested: self.liquidate() ``` ## Deploy Live Algorithms You must have an available [live trading node](https://www.quantconnect.com/docs/v2/cloud-platform/organizations/resources.md#04-Live-Trading-Nodes) for each live trading algorithm you deploy. Follow these steps to deploy a live algorithm: 1. [Open the project](https://www.quantconnect.com/docs/v2/cloud-platform/projects/getting-started.md#02-View-All-Projects) you want to deploy. 2. Click the ![Lightning icon](https://cdn.quantconnect.com/i/tu/deploy-live-icon.png) **Deploy Live** icon. 3. On the Deploy Live page, click the **Brokerage** field and then click **SS&C Eze** from the drop-down menu. 4. Enter your [SS&C Eze](https://qnt.co/ssc-eze) username and password. 5. Enter the Trading Account in BBCD (BANK;BRANCH;CUSTOMER;DEPOSIT) format, the Domain, and the select the Locale. Your account details are not saved on QuantConnect. 6. In the **Region** section, click the [region](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/getting-started.md#07-Redundancy) where you want to run the algorithm. 7. Click the **Node** field and then click the live trading node that you want to use from the drop-down menu. 8. (Optional) In the **Data Provider** section, click **Show** and change the data provider or add additional providers. In most cases, we suggest using the [QuantConnect data provider](https://www.quantconnect.com/docs/v2/cloud-platform/datasets.md), a third-party data provider such as [Polygon data provider](https://www.quantconnect.com/docs/v2/cloud-platform/datasets/polygon.md), or both. The order you set them in the deployment wizard defines their order of precedence in Lean. 9. If your brokerage account has existing cash holdings, follow these steps ([see video](https://vimeo.com/703024505)): 1. In the **Algorithm Cash State** section, click **Show**. 2. Click **Add Currency**. 3. Enter the currency ticker (for example, USD or CAD) and a quantity. 10. (Optional) [Set up notifications](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/notifications.md). 11. Configure the **Automatically restart algorithm** setting. By enabling [automatic restarts](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/deployment.md#07-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. 12. Click **Deploy**. The deployment process can take up to 5 minutes. When the algorithm deploys, the [live results page](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/results.md) 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. Restarts, including automatic restarts and redeployments, don't save the state of your algorithm. To learn what a restart recovers and how to persist the rest, see [State Persistence](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/deployment.md#10-State-Persistence). ## Deployment Details When you deploy a live algorithm with SS&C Eze, the brokerage shares some details of the deployment, like the account it trades. Use them to tell concurrent deployments apart or to check that the algorithm connected to the account you expect. The details never include credentials. The following table describes the deployment details that SS&C Eze shares: | Key | Description | | --- | --- | | `eze-user-name` | The user name that LEAN uses to log in to Eze. | | `eze-domain` | The Eze domain of the user. | | `eze-locale` | The Eze locale of the user. | | `eze-trading-account` | The Eze trading account that receives the orders. | The `deployment_details` property of your algorithm is a read-only dictionary of the details. LEAN populates it before it calls the `initialize` method, so you can read it anywhere in your algorithm. ```python deployment_details = [f'{kvp.key}:{kvp.value}' for kvp in self.deployment_details] self.log(f'deployment_details: {deployment_details}') ``` The [/live/read](https://www.quantconnect.com/docs/v2/cloud-platform/api-reference/live-management/read-live-algorithm/live-algorithm-statistics.md) API endpoint also returns the details in its `deploymentDetails` field, so you can read them outside of the algorithm.