Forex

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 Open, High, Low, and Close 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 Open, High, Low, and Close properties of the QuoteBar copy the values of either the Bid or Ask instead of taking their mean.

QuoteBar objects have the following properties:

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

public override void OnData(Slice slice)
{
    if (slice.QuoteBars.ContainsKey(_symbol))
    {
        var quoteBar = slice.QuoteBars[_symbol];
    }
}

public void OnData(QuoteBars quoteBars)
{
    if (quoteBars.ContainsKey(_symbol))
    {
        var quoteBar = quoteBars[_symbol];
    }
}

def OnData(self, slice: Slice) -> None:
    if self.symbol in slice.QuoteBars:
        quote_bar = slice.QuoteBars[self.symbol]

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)
{
    foreach (var kvp in slice.QuoteBars)
    {
        var symbol = kvp.Key;
        var quoteBar = kvp.Value;
        var askPrice = quoteBar.Ask.Close;
    }
}

public void OnData(QuoteBars quoteBars)
{
    foreach (var kvp in quoteBars)
    {
        var symbol = kvp.Key;
        var quoteBar = kvp.Value;
        var askPrice = quoteBar.Ask.Close;
    }
}

def OnData(self, slice: Slice) -> None:
    for symbol, quote_bar in slice.QuoteBars.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.

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

Trade ticks have a non-zero value for the Quantity and Price properties, but they have a zero value for the BidPrice, BidSize, AskPrice, and AskSize properties. Quote ticks have non-zero values for BidPrice and BidSize properties or have non-zero values for AskPrice and AskSize properties. To check if a tick is a trade or a quote, use the TickType 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 Symbol. If the Forex pair doesn't actively trade or you are in the same time step as when you added the Forex pair subscription, the Slice may not contain data for your Symbol. To avoid issues, check if the Slice contains data for your Forex pair before you index the Slice with the Forex pair Symbol.

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;
        }
    }
}

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

def OnData(self, slice: Slice) -> None:
    if self.symbol in slice.Ticks:
        ticks = slice.Ticks[self.symbol]
        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;
        }
    }
}

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

def OnData(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.