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. Brokerages supply a connection to the exchanges so that you can automate orders using LEAN. You can use multiple data feeds in live trading algorithms.

Samco was founded by Jimeet Modi in2015 with a mission of providing retail investors access to sophisticated financial technology that can assist retail investors in creating wealth at a low cost. Samco provides access to India Equities for clients in India with no minimum balance. Samco also provides stock ratings, mutual funds, and a mini-portfolio investment platform.

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

Account Types

Samco supports cash and margin accounts.

SetBrokerageModel(BrokerageName.Samco, AccountType.Cash);
SetBrokerageModel(BrokerageName.Samco, AccountType.Margin);
self.SetBrokerageModel(BrokerageName.Samco, AccountType.Cash)
self.SetBrokerageModel(BrokerageName.Samco, AccountType.Margin)

Samco only supports trading in Indian Rupees.


Create an Account

Follow the account creation wizard on the Samco website to create a Samco account.

Paper Trading

Samco doesn't support paper trading.

Asset Classes

Our Samco integration supports trading Indian Equities.

AddEquity("YESBANK", Resolution.Minute, Market.India);
self.AddEquity("YESBANK", Resolution.Minute, Market.India)

If you call the SetBrokerageModel method with the correct BrokerageName, then you don't need to pass a Market argument to the AddEquity method because the brokerage model has a default market.

Assets Available

Refer to the India Equities dataset to see the assets available.


We model the Samco API by supporting several order types, supporting 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 Samco supports:

Order TypeIndia Equity
MarketOrdergreen check
LimitOrdergreen check
LimitIfTouchedOrdergreen check
StopMarketOrdergreen check
StopLimitOrdergreen check
MarketOnOpenOrdergreen check
MarketOnCloseOrdergreen check
MarketOrder(_symbol, quantity);
LimitOrder(_symbol, quantity, limitPrice);
LimitIfTouchedOrder(_symbol, quantity, triggerPrice, limitPrice);
StopMarketOrder(_symbol, quantity, stopPrice);
StopLimitOrder(_symbol, quantity, stopPrice, limitPrice);
MarketOnOpenOrder(_symbol, quantity);
MarketOnCloseOrder(_symbol, quantity);
self.MarketOrder(self.symbol, quantity)
self.LimitOrder(self.symbol, quantity, limit_price)
self.LimitIfTouchedOrder(self.symbol, quantity, trigger_price, limit_price)
self.StopMarketOrder(self.symbol, quantity, stop_price)
self.StopLimitOrder(self.symbol, quantity, stop_price, limit_price)
self.MarketOnOpenOrder(self.symbol, quantity)
self.MarketOnCloseOrder(self.symbol, quantity)

Order Properties

We model custom order properties from the Samco API. The following table describes the members of the IndiaOrderProperties object that you can set to customize order execution:

ExchangeSelect the exchange for sending the order to. The following instructions are available:
  • NSE
  • BSE
ProductType A ProductType instruction to apply to the order. The IndiaProductType enumeration has the following members:
TimeInForceA TimeInForce instruction to apply to the order. The following instructions are available:
  • Day
  • GoodTilCanceled
  • GoodTilDate
public override void Initialize()
    // Set default order properties
    DefaultOrderProperties = new IndiaOrderProperties(Exchange.NSE, IndiaOrderProperties.IndiaProductType.NRML)
        TimeInForce = TimeInForce.GoodTilCanceled,

public override void OnData(Slice slice)
    // Use default order order properties
    LimitOrder(_symbol, quantity, limitPrice);
    // Override the default order properties
    LimitOrder(_symbol, quantity, limitPrice, 
               orderProperties: new IndiaOrderProperties(Exchange.BSE, IndiaOrderProperties.IndiaProductType.MIS)
                   TimeInForce = TimeInForce.Day,
    LimitOrder(_symbol, quantity, limitPrice, 
               orderProperties: new IndiaOrderProperties(Exchange.BSE, IndiaOrderProperties.IndiaProductType.CNC)
                   TimeInForce = TimeInForce.GoodTilDate,
def Initialize(self) -> None:
    # Set the default order properties
    self.DefaultOrderProperties = IndiaOrderProperties(Exchange.NSE, IndiaOrderProperties.IndiaProductType.NRML)
    self.DefaultOrderProperties.TimeInForce = TimeInForce.GoodTilCanceled

def OnData(self, slice: Slice) -> None:
    # Use default order order properties
    self.LimitOrder(self.symbol, quantity, limit_price)
    # Override the default order properties
    order_properties = IndiaOrderProperties(Exchange.BSE, IndiaOrderProperties.IndiaProductType.MIS)
    order_properties.TimeInForce = TimeInForce.Day
    self.LimitOrder(self.symbol, quantity, limit_price, orderProperties=order_properties)

    order_properties = IndiaOrderProperties(Exchange.BSE, IndiaOrderProperties.IndiaProductType.CNC)
    order_properties.TimeInForce = TimeInForce.GoodTilDate
    self.LimitOrder(self.symbol, quantity, limit_price, orderProperties=order_properties)


We model the Samco API by supporting order updates.

var ticket = LimitOrder(_symbol, quantity, limitPrice);
var updateSettings = new UpdateOrderFields();
updateSettings.LimitPrice = newLimitPrice;
ticket = self.LimitOrder(self.symbol, quantity, limit_price)
updateSettings = UpdateOrderFields()
updateSettings.LimitPrice = new_limit_price

Handling Splits

In live trading, if you're using raw data normalization and you have active limit, stop limit, or stop market orders in the market for a US Equity when a stock split occurs, the quantity, limit price, and stop price of your orders are automatically adjusted to reflect the stock split.


We model the order fees of Samco by its Equity Intraday fee structure. The following table shows the fees:

Charge ItemFee
Brokerage Fee₹20 per trade or 0.02% (whichever is lower)
Exchange Transaction Charge0.00345%
Securities Transaction Tax0.025%
Goods and Services Tax18%
SEBI Charges0.0001%
Stamp Duty0.003%

To check the latest fees, see the Regulatory and Exchanges Charges page on the Samco website.

For default backtest fee model, see Samco Supported Models.


We model buying power and margin calls to ensure your algorithm stays within the margin requirements.

Buying Power

Samco allows up to 5x leverage for margin accounts, but the amount of margin available depends on the Equity and product type. To check the amount of margin available for each asset, see the Equities Margin Calculator on the Samco website.

Margin Calls

Regulation T margin rules apply. When the amount of margin remaining in your portfolio drops below 5% of the total portfolio value, you receive a warning. When the amount of margin remaining in your portfolio drops to zero or goes negative, the portfolio sorts the generated margin call orders by their unrealized profit and executes each order synchronously until your portfolio is within the margin requirements.


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

For default backtest slippage model, see Samco Supported Models.


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.

For default fill model, see Samco Supported Models.


If you trade with a margin account, trades settle immediately

security.SettlementModel = new ImmediateSettlementModel();
security.SettlementModel = ImmediateSettlementModel()

For default settlement model, see Samco Supported Models.

Security and Stability

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

Deposits and Withdraws

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 Samco 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 trading algorithm:

  1. Open the project that 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 Samco from the drop-down menu.
  4. Enter your client ID, password, and date of birth.
  5. Your account details aren't saved on QuantConnect.

  6. Click the Product Type field and then click one of the following options from the drop-down menu:
  7. Product TypeDescription
    MISIntraday products
    CNCDelivery products
    NRMLCarry forward products
  8. Click the Trading Segment field and then click one of the following options from the drop-down menu:
  9. Trading SegmentDescription
    EQUITYFor trading Equities on the National Stock Exchange of India (NSE) or the Bombay Stock Exchange (BSE)
    COMMODITYFor trading commodities on the Multi Commodity Exchange of India (MCX)
  10. Click the Node field and then click the live trading node that you want to use from the drop-down menu.
  11. (Optional) Set up notifications.
  12. Configure the Automatically restart algorithm setting.
  13. 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.

  14. Click Deploy.

The deployment process can take up to 5 minutes. When the algorithm deploys, the live results page displays.

You can also see our Videos. You can also get in touch with us via Discord.

Did you find this page helpful?

Contribute to the documentation: