CFD

QuoteBar objects are bars that consolidate NBBO quotes from the exchanges. They contain the open, high, low, and close prices of the bid and ask. The Openopen, Highhigh, Lowlow, and Closeclose properties of the QuoteBar object are the mean of the respective bid and ask prices. If the bid or ask portion of the QuoteBar has no data, the Openopen, Highhigh, Lowlow, and Closeclose properties of the QuoteBar copy the values of either the Bidbid or Askask instead of taking their mean.

To get the QuoteBar objects in the Slice, index the QuoteBars property of the Slice with the CFD Symbolsymbol. If the CFD doesn't actively get quotes or you are in the same time step as when you added the CFD subscription, the Slice may not contain data for your Symbolsymbol. To avoid issues, check if the Slice contains data for your CFD before you index the Slice with the CFD Symbolsymbol.

public override void OnData(Slice slice)
{
    // Check if the symbol is contained in QuoteBars object
    if (slice.QuoteBars.ContainsKey(_symbol))
    {
        // Obtain the mapped QuoteBar of the symbol
        var quoteBar = slice.QuoteBars[_symbol];
    }
}

def on_data(self, slice: Slice) -> None:
    # Obtain the mapped QuoteBar of the symbol if any
    quote_bar = slice.quote_bars.get(self._symbol)   # None if not found

You can also iterate through the QuoteBars dictionary. The keys of the dictionary are the Symbol objects and the values are the QuoteBar objects.

public override void OnData(Slice slice)
{
    // Iterate all received Symbol-QuoteBar key-value pairs
    foreach (var kvp in slice.QuoteBars)
    {
        var symbol = kvp.Key;
        var quoteBar = kvp.Value;
        var askPrice = quoteBar.Ask.Close;
    }
}

def on_data(self, slice: Slice) -> None:
    # Iterate all received Symbol-QuoteBar key-value pairs
    for symbol, quote_bar in slice.quote_bars.items():
        ask_price = quote_bar.ask.close

QuoteBar objects let LEAN incorporate spread costs into your simulated trade fills to make backtest results more realistic.

QuoteBar objects have the following properties:

Tick objects represent a single trade or quote at a moment in time. A trade tick is a record of a transaction for the CFD. A quote tick is an offer to buy or sell the CFD at a specific price.

Trade ticks have a non-zero value for the Quantityquantity and Priceprice properties, but they have a zero value for the BidPricebid_price, BidSizebid_size, AskPriceask_price, and AskSizeask_size properties. Quote ticks have non-zero values for BidPricebid_price and BidSizebid_size properties or have non-zero values for AskPriceask_price and AskSizeask_size properties. To check if a tick is a trade or a quote, use the TickTypeticktype property.

In backtests, LEAN groups ticks into one millisecond buckets. In live trading, LEAN groups ticks into ~70-millisecond buckets. To get the Tick objects in the Slice, index the Ticks property of the Slice with a Symbolsymbol. If the CFD doesn't actively trade or you are in the same time step as when you added the CFD subscription, the Slice may not contain data for your Symbolsymbol. To avoid issues, check if the Slice contains data for your CFD before you index the Slice with the CFD Symbolsymbol.

public override void OnData(Slice slice)
{
    if (slice.Ticks.ContainsKey(_symbol))
    {
        var ticks = slice.Ticks[_symbol];
        foreach (var tick in ticks)
        {
            var price = tick.Price;
        }
    }
}

def on_data(self, slice: Slice) -> None:
    ticks = slice.ticks.get(self._symbol, [])   # Empty if not found
    for tick in ticks:
        price = tick.price

You can also iterate through the Ticks dictionary. The keys of the dictionary are the Symbol objects and the values are the List<Tick>list[Tick] objects.

public override void OnData(Slice slice)
{
    foreach (var kvp in slice.Ticks)
    {
        var symbol = kvp.Key;
        var ticks = kvp.Value;
        foreach (var tick in ticks)
        {
            var price = tick.Price;
        }
    }
}

def on_data(self, slice: Slice) -> None:
    for symbol, ticks in slice.ticks.items():
        for tick in ticks:
            price = tick.price

Tick data is raw and unfiltered, so it can contain bad ticks that skew your trade results. For example, some ticks come from dark pools, which aren't tradable. We recommend you only use tick data if you understand the risks and are able to perform your own online tick filtering.

Tick objects have the following properties:

The following examples demonstrate common practices for handling CFD data.

Example 1: Buy And Hold

The following algorithm is a buy-and-hold strategy on the DE30EUR CFD contract. We only place orders when quote data is available to avoid stale fills. Also, we set the algorithm time zone to Berlin and the account currency to Euros for a more convenient comparison.

public class CfdExampleAlgorithm : QCAlgorithm
{
    private Symbol _dax, _sgx;

    public override void Initialize()
    {
        SetStartDate(2024, 1, 1);
        SetEndDate(2025, 1, 1);
        // Set the timezone as Berlin to conveniently compare the data.
        SetTimeZone(TimeZones.Berlin);
        // Set the account currency to EUR to trade the DAX CFD.
        SetAccountCurrency("EUR", 10000);
        // Request the CFD data to trade.
        _dax = AddCfd("DE30EUR").Symbol;
        _sgx = AddCfd("SG30SGD").Symbol;
    }

    public override void OnData(Slice slice)
    {
        // Trade based on updated data; CFDs only have quote data.
        if (slice.QuoteBars.TryGetValue(_dax, out var _))
        {
            // Buy and hold DAX CFD.
            if (!Portfolio[_dax].IsLong)
            {
                SetHoldings(_dax, 0.5m);
            }
        }
    }
}

class CfdExampleAlgorithm(QCAlgorithm):
    def initialize(self) -> None:
        self.set_start_date(2024, 1, 1)
        self.set_end_date(2025, 1, 1)
        # Set the timezone as Berlin to conveniently compare the data.
        self.set_time_zone(TimeZones.BERLIN)
        # Set the account currency to EUR to trade the DAX CFD.
        self.set_account_currency("EUR", 10000)
        # Request the CFD data to trade.
        self._dax = self.add_cfd("DE30EUR").symbol

    def on_data(self, slice: Slice) -> None:
        # Trade based on updated data; CFDs only have quote data.
        bar = slice.quote_bars.get(self._dax)
        if bar:
            # Buy and hold DAX CFD.
            if not self.portfolio[self._dax].is_long:
                self.set_holdings(self._dax, 0.5)