Datasets
Futures Options
Create Subscriptions
Follow these steps to subscribe to a Futures Option contract:
- Load the assembly files and data types in their own cell.
- Import the data types.
- Create a
QuantBook
. - Subscribe to a Futures contract.
- (Optional) Set a contract filter.
- Standard type (exclude weeklys)
- Within 1 strike price of the underlying asset price
- Expire within 31 days
#load "../Initialize.csx"
#load "../QuantConnect.csx" #r "../Microsoft.Data.Analysis.dll" using QuantConnect; using QuantConnect.Data; using QuantConnect.Algorithm; using QuantConnect.Research; using QuantConnect.Indicators; using QuantConnect.Securities.Future; using QuantConnect.Securities.FutureOption; using Microsoft.Data.Analysis;
var qb = new QuantBook();
qb = QuantBook()
var future = qb.AddFuture(Futures.Indices.SP500EMini, Resolution.Minute); var startDate = new DateTime(2021,12,20); var futuresContractSymbols = qb.FutureChainProvider.GetFutureContractList(future.Symbol, startDate); var futuresContractSymbol = futuresContractSymbols.OrderBy(s => s.ID.Date).FirstOrDefault(); qb.AddFutureContract(futuresContractSymbol, fillForward: false);
future = qb.add_future(Futures.Indices.SP500E_MINI, Resolution.MINUTE) start_date = datetime(2021,12,20) futures_contract_symbols = qb.future_chain_provider.get_future_contract_list(future.symbol, start_date) futures_contract_symbol = sorted(futures_contract_symbols, key=lambda s: s.id.date)[0] qb.add_future_contract(futures_contract_symbol, fill_forward = False)
To view the available underlying Futures in the US Future Options dataset, see Supported Assets.
qb.AddFutureOption(future.Symbol, optionFilterUniverse => optionFilterUniverse.Strikes(-1, 1));
qb.add_future_option(future.symbol, lambda option_filter_universe: option_filter_universe.strikes(-1, 1))
The filter determines which contracts the OptionHistory
option_history
method returns. If you don't set a filter, the default filter selects the contracts that have the following characteristics:
If you want historical data on individual contracts and their OpenInterest
, follow these steps to subscribe to the individual Futures Option contracts:
- Call the
GetOptionsContractList
method with the underlying Futures ContractSymbol
and adatetime
DateTime
object. - Select the Symbol of the
OptionContract
object(s) for which you want to get historical data. - Call the
AddFutureOptionContract
add_future_option_contract
method with anOptionContract
Symbol and disable fill-forward. - (Optional) Set the price model.
var fopContractSymbols = qb.OptionChainProvider.GetOptionContractList(futuresContractSymbol, startDate);
fop_contract_symbols = qb.option_chain_provider.get_option_contract_list(futures_contract_symbol, start_date)
This method returns a list of Symbol
objects that reference the Option contracts that were trading for the underlying Future contract at the given time. If you set a contract filter with SetFilter
set_filter
, it doesn't affect the results of GetOptionContractList
get_option_contract_list
.
To filter and select contracts, you can use the following properties of each Symbol
object:
Property | Description |
---|---|
ID.Date id.date | The expiration date of the contract. |
ID.StrikePrice id.strike_price | The strike price of the contract. |
ID.OptionRight id.option_right |
The contract type. The OptionRight enumeration has the following members:
|
ID.OptionStyle id.option_style |
The contract style. The OptionStyle enumeration has the following members:
|
var closestExpiry = fopContractSymbols.Select(c => c.ID.Date).Min(); var fopContractSymbol = fopContractSymbols .Where(c => c.ID.Date == closestExpiry && c.ID.OptionRight == OptionRight.Call) .OrderBy(c => c.ID.StrikePrice) .FirstOrDefault();
closest_expiry = min([c.id.date for c in fop_contract_symbols]) calls = [c for c in fop_contract_symbols if c.id.date == closest_expiry and c.id.option_right == OptionRight.CALL] fop_contract_symbol = sorted(calls, key=lambda c: c.id.strike_price)[0]
var optionContract = qb.AddFutureOptionContract(fopContractSymbol, fillForward: false);
option_contract = qb.add_future_option_contract(fop_contract_symbol, fill_forward = False)
Disable fill-forward because there are only a few OpenInterest
data points per day.
optionContract.PriceModel = OptionPriceModels.BinomialCoxRossRubinstein();
option_contract.price_model = OptionPriceModels.binomial_cox_ross_rubinstein()
Get Historical Data
You need a subscription before you can request historical data for Futures Option contracts. On the time dimension, you can request an amount of historical data based on a trailing number of bars, a trailing period of time, or a defined period of time. On the contract dimension, you can request historical data for a single contract, a subset of the contracts you created subscriptions for in your notebook, or all of the contracts in your notebook.
Before you request historical data, call the SetStartDate
set_start_date
method with a datetime
DateTime
to reduce the risk of look-ahead bias.
qb.SetStartDate(startDate);
qb.set_start_date(start_date)
If you call the SetStartDate
set_start_date
method, the date that you pass to the method is the latest date for which your history requests will return data.
Trailing Number of Bars
To get historical data for a number of trailing bars, call the History
history
method with the contract Symbol
object(s) and an integer.
// Slice objects var singleHistorySlice = qb.History(fopContractSymbol, 10); var subsetHistorySlice = qb.History(new[] {fopContractSymbol}, 10); var allHistorySlice = qb.History(10); // TradeBar objects var singleHistoryTradeBars = qb.History<TradeBar>(fopContractSymbol, 10); var subsetHistoryTradeBars = qb.History<TradeBar>(new[] {fopContractSymbol}, 10); var allHistoryTradeBars = qb.History<TradeBar>(qb.Securities.Keys, 10); // QuoteBar objects var singleHistoryQuoteBars = qb.History<QuoteBar>(fopContractSymbol, 10); var subsetHistoryQuoteBars = qb.History<QuoteBar>(new[] {fopContractSymbol}, 10); var allHistoryQuoteBars = qb.History<QuoteBar>(qb.Securities.Keys, 10); // OpenInterest objects var singleHistoryOpenInterest = qb.History<OpenInterest>(fopContractSymbol, 400); var subsetHistoryOpenInterest = qb.History<OpenInterest>(new[] {fopContractSymbol}, 400); var allHistoryOpenInterest = qb.History<OpenInterest>(qb.Securities.Keys, 400);
# DataFrame of trade and quote data single_history_df = qb.history(fop_contract_symbol, 10) subset_history_df = qb.history([fop_contract_symbol], 10) all_history_df = qb.history(qb.securities.keys(), 10) # DataFrame of trade data single_history_trade_bar_df = qb.history(TradeBar, fop_contract_symbol, 10) subset_history_trade_bar_df = qb.history(TradeBar, [fop_contract_symbol], 10) all_history_trade_bar_df = qb.history(TradeBar, qb.securities.keys(), 10) # DataFrame of quote data single_history_quote_bar_df = qb.history(QuoteBar, fop_contract_symbol, 10) subset_history_quote_bar_df = qb.history(QuoteBar, [fop_contract_symbol], 10) all_history_quote_bar_df = qb.history(QuoteBar, qb.securities.keys(), 10) # DataFrame of open interest data single_history_open_interest_df = qb.history(OpenInterest, fop_contract_symbol, 400) subset_history_open_interest_df = qb.history(OpenInterest, [fop_contract_symbol], 400) all_history_open_interest_df = qb.history(OpenInterest, qb.securities.keys(), 400) # Slice objects all_history_slice = qb.history(10) # TradeBar objects single_history_trade_bars = qb.history[TradeBar](fop_contract_symbol, 10) subset_history_trade_bars = qb.history[TradeBar]([fop_contract_symbol], 10) all_history_trade_bars = qb.history[TradeBar](qb.securities.keys(), 10) # QuoteBar objects single_history_quote_bars = qb.history[QuoteBar](fop_contract_symbol, 10) subset_history_quote_bars = qb.history[QuoteBar]([fop_contract_symbol], 10) all_history_quote_bars = qb.history[QuoteBar](qb.securities.keys(), 10) # OpenInterest objects single_history_open_interest = qb.history[OpenInterest](fop_contract_symbol, 400) subset_history_open_interest = qb.history[OpenInterest]([fop_contract_symbol], 400) all_history_open_interest = qb.history[OpenInterest](qb.securities.keys(), 400)
The preceding calls return the most recent bars, excluding periods of time when the exchange was closed.
Trailing Period of Time
To get historical data for a trailing period of time, call the History
history
method with the contract Symbol
object(s) and a TimeSpan
timedelta
.
// Slice objects var singleHistorySlice = qb.History(fopContractSymbol, TimeSpan.FromDays(3)); var subsetHistorySlice = qb.History(new[] {fopContractSymbol}, TimeSpan.FromDays(3)); var allHistorySlice = qb.History(10); // TradeBar objects var singleHistoryTradeBars = qb.History<TradeBar>(fopContractSymbol, TimeSpan.FromDays(3)); var subsetHistoryTradeBars = qb.History<TradeBar>(new[] {fopContractSymbol}, TimeSpan.FromDays(3)); var allHistoryTradeBars = qb.History<TradeBar>(TimeSpan.FromDays(3)); // QuoteBar objects var singleHistoryQuoteBars = qb.History<QuoteBar>(fopContractSymbol, TimeSpan.FromDays(3), Resolution.Minute); var subsetHistoryQuoteBars = qb.History<QuoteBar>(new[] {fopContractSymbol}, TimeSpan.FromDays(3), Resolution.Minute); var allHistoryQuoteBars = qb.History<QuoteBar>(qb.Securities.Keys, TimeSpan.FromDays(3), Resolution.Minute); // OpenInterest objects var singleHistoryOpenInterest = qb.History<OpenInterest>(fopContractSymbol, TimeSpan.FromDays(2)); var subsetHistoryOpenInterest = qb.History<OpenInterest>(new[] {fopContractSymbol}, TimeSpan.FromDays(2)); var allHistoryOpenInterest = qb.History<OpenInterest>(qb.Securities.Keys, TimeSpan.FromDays(2));
# DataFrame of trade and quote data single_history_df = qb.history(fop_contract_symbol, timedelta(days=3)) subset_history_df = qb.history([fop_contract_symbol], timedelta(days=3)) all_history_df = qb.history(qb.securities.keys(), timedelta(days=3)) # DataFrame of trade data single_history_trade_bar_df = qb.history(TradeBar, fop_contract_symbol, timedelta(days=3)) subset_history_trade_bar_df = qb.history(TradeBar, [fop_contract_symbol], timedelta(days=3)) all_history_trade_bar_df = qb.history(TradeBar, qb.securities.keys(), timedelta(days=3)) # DataFrame of quote data single_history_quote_bar_df = qb.history(QuoteBar, fop_contract_symbol, timedelta(days=3)) subset_history_quote_bar_df = qb.history(QuoteBar, [fop_contract_symbol], timedelta(days=3)) all_history_quote_bar_df = qb.history(QuoteBar, qb.securities.keys(), timedelta(days=3)) # DataFrame of open interest data single_history_open_interest_df = qb.history(OpenInterest, fop_contract_symbol, timedelta(days=3)) subset_history_open_interest_df = qb.history(OpenInterest, [fop_contract_symbol], timedelta(days=3)) all_history_open_interest_df = qb.history(OpenInterest, qb.securities.keys(), timedelta(days=3)) # Slice objects all_history_slice = qb.history(timedelta(days=3)) # TradeBar objects single_history_trade_bars = qb.history[TradeBar](fop_contract_symbol, timedelta(days=3)) subset_history_trade_bars = qb.history[TradeBar]([fop_contract_symbol], timedelta(days=3)) all_history_trade_bars = qb.history[TradeBar](qb.securities.keys(), timedelta(days=3)) # QuoteBar objects single_history_quote_bars = qb.history[QuoteBar](fop_contract_symbol, timedelta(days=3), Resolution.MINUTE) subset_history_quote_bars = qb.history[QuoteBar]([fop_contract_symbol], timedelta(days=3), Resolution.MINUTE) all_history_quote_bars = qb.history[QuoteBar](qb.securities.keys(), timedelta(days=3), Resolution.MINUTE) # OpenInterest objects single_history_open_interest = qb.history[OpenInterest](fop_contract_symbol, timedelta(days=2)) subset_history_open_interest = qb.history[OpenInterest]([fop_contract_symbol], timedelta(days=2)) all_history_open_interest = qb.history[OpenInterest](qb.securities.keys(), timedelta(days=2))
The preceding calls return the most recent bars, excluding periods of time when the exchange was closed.
Defined Period of Time
To get historical data for individual Futures Option contracts during a specific period of time, call the History
history
method with the Futures Option contract Symbol
object(s), a start DateTime
datetime
, and an end DateTime
datetime
. The start and end times you provide are based in the notebook time zone.
var startTime = new DateTime(2021, 12, 1); var endTime = new DateTime(2021, 12, 31); // Slice objects var singleHistorySlice = qb.History(fopContractSymbol, startTime, endTime); var subsetHistorySlice = qb.History(new[] {fopContractSymbol}, startTime, endTime); var allHistorySlice = qb.History(startTime, endTime); // TradeBar objects var singleHistoryTradeBars = qb.History<TradeBar>(fopContractSymbol, startTime, endTime); var subsetHistoryTradeBars = qb.History<TradeBar>(new[] {fopContractSymbol}, startTime, endTime); var allHistoryTradeBars = qb.History<TradeBar>(qb.Securities.Keys, startTime, endTime); // QuoteBar objects var singleHistoryQuoteBars = qb.History<QuoteBar>(fopContractSymbol, startTime, endTime, Resolution.Minute); var subsetHistoryQuoteBars = qb.History<QuoteBar>(new[] {fopContractSymbol}, startTime, endTime, Resolution.Minute); var allHistoryQuoteBars = qb.History<QuoteBar>(qb.Securities.Keys, startTime, endTime, Resolution.Minute); // OpenInterest objects var singleHistoryOpenInterest = qb.History<OpenInterest>(fopContractSymbol, startTime, endTime); var subsetHistoryOpenInterest = qb.History<OpenInterest>(new[] {fopContractSymbol}, startTime, endTime); var allHistoryOpenInterest = qb.History<OpenInterest>(qb.Securities.Keys, startTime, endTime);
start_time = datetime(2021, 12, 1) end_time = datetime(2021, 12, 31) # DataFrame of trade and quote data single_history_df = qb.history(fop_contract_symbol, start_time, end_time) subset_history_df = qb.history([fop_contract_symbol], start_time, end_time) all_history_df = qb.history(qb.securities.keys(), start_time, end_time) # DataFrame of trade data single_history_trade_bar_df = qb.history(TradeBar, fop_contract_symbol, start_time, end_time) subset_history_trade_bar_df = qb.history(TradeBar, [fop_contract_symbol], start_time, end_time) all_history_trade_bar_df = qb.history(TradeBar, qb.securities.keys(), start_time, end_time) # DataFrame of quote data single_history_quote_bar_df = qb.history(QuoteBar, fop_contract_symbol, start_time, end_time) subset_history_quote_bar_df = qb.history(QuoteBar, [fop_contract_symbol], start_time, end_time) all_history_quote_bar_df = qb.history(QuoteBar, qb.securities.keys(), start_time, end_time) # DataFrame of open interest data single_history_open_interest_df = qb.history(OpenInterest, fop_contract_symbol, start_time, end_time) subset_history_open_interest_df = qb.history(OpenInterest, [fop_contract_symbol], start_time, end_time) all_history_trade_open_interest_df = qb.history(OpenInterest, qb.securities.keys(), start_time, end_time) # TradeBar objects single_history_trade_bars = qb.history[TradeBar](fop_contract_symbol, start_time, end_time) subset_history_trade_bars = qb.history[TradeBar]([fop_contract_symbol], start_time, end_time) all_history_trade_bars = qb.history[TradeBar](qb.securities.keys(), start_time, end_time) # QuoteBar objects single_history_quote_bars = qb.history[QuoteBar](fop_contract_symbol, start_time, end_time, Resolution.MINUTE) subset_history_quote_bars = qb.history[QuoteBar]([fop_contract_symbol], start_time, end_time, Resolution.MINUTE) all_history_quote_bars = qb.history[QuoteBar](qb.securities.keys(), start_time, end_time, Resolution.MINUTE) # OpenInterest objects single_history_open_interest = qb.history[OpenInterest](fop_contract_symbol, start_time, end_time) subset_history_open_interest = qb.history[OpenInterest]([fop_contract_symbol], start_time, end_time) all_history_open_interest = qb.history[OpenInterest](qb.securities.keys(), start_time, end_time)
To get historical data for all of the Futures Option contracts that traded during a specific period of time, call the OptionHistory
option_history
method with the underlying Futures contract Symbol
object, a start DateTime
datetime
, and an end DateTime
datetime
.
option_history = qb.option_history(futures_contract_symbol, end_time-timedelta(days=2), end_time, Resolution.MINUTE, fill_forward=False, extended_market_hours=False)
var optionHistory = qb.OptionHistory(futuresContractSymbol, endTime-TimeSpan.FromDays(2), endTime, Resolution.Minute, fillForward: False, extendedMarketHours: False);
The preceding calls return data that have a timestamp within the defined period of time.
Wrangle Data
You need some historical data to perform wrangling operations. The process to manipulate the historical data depends on its data type. To display pandas
objects, run a cell in a notebook with the pandas
object as the last line. To display other data formats, call the print
method.
You need some historical data to perform wrangling operations. Use LINQ to wrangle the data and then call the Console.WriteLine
method in a Jupyter Notebook to display the data. The process to manipulate the historical data depends on its data type.
DataFrame Objects
If your history request returns a DataFrame
, the DataFrame
has the following index levels:
- Contract expiry
- Contract strike price
- Contract type (call or put)
- Encoded contract Symbol
- The
EndTime
end_time
of the data sample
The columns of the DataFrame
are the data properties. Depending on how you request data, the DataFrame
may contain data for the underlying security, which causes some of the index levels to be an empty string for the corresponding rows.
To select the rows of the contract(s) that expire at a specific time, index the loc
property of the DataFrame
with the expiry time.
all_history_df.loc[datetime(2022, 3, 18)]
If you remove the first three index levels, you can index the DataFrame
with just the contract Symbol
, similiar to how you would with non-derivative asset classes. To remove the first three index levels, call the droplevel method.
all_history_df.index = all_history_df.index.droplevel([0,1,2])
To select the historical data of a single Futures Option contract, index the loc
property of the DataFrame
with the contract Symbol
.
all_history_df.loc[fop_contract_symbol]
To select a column of the DataFrame
, index it with the column name.
all_history_df.loc[fop_contract_symbol]['close']
If you request historical data for multiple Futures Option contracts, you can transform the DataFrame
so that it's a time series of close values for all of the Futures Option contracts. To transform the DataFrame
, select the column you want to display for each Futures Option contract and then call the unstack method.
all_history_df['close'].unstack(level=0)
The DataFrame
is transformed so that the column indices are the Symbol
of each security and each row contains the close value.
The historical data methods don't return DataFrame objects, but you can create one for efficient vectorized data wrangling.
using Microsoft.Data.Analysis; var columns = new DataFrameColumn[] { new PrimitiveDataFrameColumn("Time", history.Select(x => x[fopContractSymbol].EndTime)), new DecimalDataFrameColumn(" Open", history.Select(x => x[fopContractSymbol].Open)), new DecimalDataFrameColumn(" High", history.Select(x => x[fopContractSymbol].High)), new DecimalDataFrameColumn(" Low", history.Select(x => x[fopContractSymbol].Low)), new DecimalDataFrameColumn(" Close", history.Select(x => x[fopContractSymbol].Close)) }; var df = new DataFrame(columns); df
To select a particular column of the DataFrame, index it with the column name.
df[" close"]
Slice Objects
If the History
history
method returns Slice
objects, iterate through the Slice
objects to get each one. The Slice
objects may not have data for all of your Futures Option subscriptions. To avoid issues, check if the Slice
contains data for your Futures Option contract before you index it with the Futures Option Symbol
.
foreach (var slice in allHistorySlice) { if (slice.Bars.ContainsKey(fopContractSymbol)) { var tradeBar = slice.Bars[fopContractSymbol]; } if (slice.QuoteBars.ContainsKey(fopContractSymbol)) { var quoteBar = slice.QuoteBars[fopContractSymbol]; } }
for slice in all_history_slice: if slice.bars.contains_key(fop_contract_symbol): trade_bar = slice.bars[fop_contract_symbol] if slice.quote_bars.contains_key(fop_contract_symbol): quote_bar = slice.quote_bars[fop_contract_symbol]
You can also iterate through each TradeBar
and QuoteBar
in the Slice
.
foreach (var slice in allHistorySlice) { foreach (var kvp in slice.Bars) { var symbol = kvp.Key; var tradeBar = kvp.Value; } foreach (var kvp in slice.QuoteBars) { var symbol = kvp.Key; var quoteBar = kvp.Value; } }
for slice in all_history_slice: for kvp in slice.bars: symbol = kvp.key trade_bar = kvp.value for kvp in slice.quote_bars: symbol = kvp.key quote_bar = kvp.value
You can also use LINQ to select each TradeBar
in the Slice
for a given Symbol
.
var tradeBars = allHistorySlice.Where(slice => slice.Bars.ContainsKey(fopContractSymbol)).Select(slice => slice.Bars[fopContractSymbol]);
TradeBar Objects
If the History
history
method returns TradeBar
objects, iterate through the TradeBar
objects to get each one.
foreach (var tradeBar in singleHistoryTradeBars) { Console.WriteLine(tradeBar); }
for trade_bar in single_history_trade_bars: print(trade_bar)
If the History
history
method returns TradeBars
, iterate through the TradeBars
to get the TradeBar
of each Futures Option contract. The TradeBars
may not have data for all of your Futures Option subscriptions. To avoid issues, check if the TradeBars
object contains data for your security before you index it with the Futures Option Symbol
.
foreach (var tradeBars in allHistoryTradeBars) { if (tradeBars.ContainsKey(fopContractSymbol)) { var tradeBar = tradeBars[fopContractSymbol]; } }
for trade_bars in all_history_trade_bars: if trade_bars.contains_key(fop_contract_symbol): trade_bar = trade_bars[fop_contract_symbol]
You can also iterate through each of the TradeBars
.
foreach (var tradeBars in allHistoryTradeBars) { foreach (var kvp in tradeBars) { var symbol = kvp.Key; var tradeBar = kvp.Value; } }
for trade_bars in all_history_trade_bars: for kvp in trade_bars: symbol = kvp.Key trade_bar = kvp.Value
QuoteBar Objects
If the History
history
method returns QuoteBar
objects, iterate through the QuoteBar
objects to get each one.
foreach (var quoteBar in singleHistoryQuoteBars) { Console.WriteLine(quoteBar); }
for quote_bar in single_history_quote_bars: print(quote_bar)
If the History
history
method returns QuoteBars
, iterate through the QuoteBars
to get the QuoteBar
of each Futures Option contract. The QuoteBars
may not have data for all of your Futures Option subscriptions. To avoid issues, check if the QuoteBars
object contains data for your security before you index it with the Futures Option Symbol
.
foreach (var quoteBars in allHistoryQuoteBars) { if (quoteBars.ContainsKey(fopContractSymbol)) { var quoteBar = quoteBars[fopContractSymbol]; } }
for quote_bars in all_history_quote_bars: if quote_bars.contains_key(fop_contract_symbol): quote_bar = quote_bars[fop_contract_symbol]
You can also iterate through each of the QuoteBars
.
foreach (var quoteBars in allHistoryQuoteBars) { foreach (var kvp in quoteBars) { var symbol = kvp.Key; var quoteBar = kvp.Value; } }
for quote_bars in all_history_quote_bars: for kvp in quote_bars: symbol = kvp.key quote_bar = kvp.value
OpenInterest Objects
If the History
history
method returns OpenInterest
objects, iterate through the OpenInterest
objects to get each one.
foreach (var openInterest in singleHistoryOpenInterest) { Console.WriteLine(openInterest); }
for open_interest in single_history_open_interest: print(open_interest)
If the History
history
method returns a dictionary of OpenInterest
objects, iterate through the dictionary to get the OpenInterest
of each Futures Option contract. The dictionary of OpenInterest
objects may not have data for all of your Futures Option contract subscriptions. To avoid issues, check if the dictionary contains data for your contract before you index it with the Futures Option contract Symbol
.
foreach (var openInterestDict in allHistoryOpenInterest) { if (openInterestDict.ContainsKey(fopContractSymbol)) { var openInterest = openInterestDict[fopContractSymbol]; } }
for open_interest_dict in all_history_open_interest: if open_interest_dict.contains_key(fop_contract_symbol): open_interest = open_interest_dict[fop_contract_symbol]
You can also iterate through each of the OpenInterest
dictionaries.
foreach (var openInterestDict in allHistoryOpenInterest) { foreach (var kvp in openInterestDict) { var symbol = kvp.Key; var openInterest = kvp.Value; } }
for open_interest_dict in all_history_open_interest: for kvp in open_interest_dict: symbol = kvp.key open_interest = kvp.value
OptionHistory Objects
The OptionHistory
option_history
method returns an OptionHistory
object. To get each slice in the OptionHistory
object, iterate through it.
foreach (var slice in optionHistory) { foreach (var kvp in slice.OptionChains) { var canonicalSymbol = kvp.Key; var chain = kvp.Value; foreach (var contract in chain) { } } }
for slice in option_history: for canonical_symbol, chain in slice.option_chains.items(): for contract in chain: pass
To convert the OptionHistory
object to a DataFrame
that contains the trade and quote information of each contract and the underlying, call the GetAllData
method.
option_history.get_all_data()
To get the expiration dates of all the contracts in an OptionHistory
object, call the GetExpiryDates
method.
option_history.get_expiry_dates()
To get the strike prices of all the contracts in an OptionHistory
object, call the GetStrikes
method.
option_history.get_strikes()
Plot Data
You need to get some historical Future Options data to plot it. You can use many of the supported plotting libraries to visualize data in various formats. For example, you can plot candlestick and line charts.
Candlestick Chart
Follow these steps to plot candlestick charts:
- Get some historical data.
- Drop the first four index levels of the
DataFrame
that returns. - Import the
plotly
Plot.NET
library. - Create a
Candlestick
. - Create a
Layout
. - Create the
Figure
. - Assign the
Layout
to the chart. - Show the
Figure
.
history = qb.history(fop_contract_symbol, datetime(2021, 12, 2), datetime(2021, 12, 3))
var history = qb.History<QuoteBar>(fopContractSymbol, new DateTime(2021, 12, 2), new DateTime(2021, 12, 3));
history.index = history.index.droplevel([0,1,2,3])
import plotly.graph_objects as go
#r "../Plotly.NET.dll" using Plotly.NET; using Plotly.NET.LayoutObjects;
candlestick = go.Candlestick(x=history.index, open=history['open'], high=history['high'], low=history['low'], close=history['close'])
var chart = Chart2D.Chart.Candlestick<decimal, decimal, decimal, decimal, DateTime, string>( history.Select(x => x.Open), history.Select(x => x.High), history.Select(x => x.Low), history.Select(x => x.Close), history.Select(x => x.EndTime) );
layout = go.Layout(title=go.layout.Title(text=f'{fop_contract_symbol.value} OHLC'), xaxis_title='Date', yaxis_title='Price', xaxis_rangeslider_visible=False)
LinearAxis xAxis = new LinearAxis(); xAxis.SetValue("title", "Time"); LinearAxis yAxis = new LinearAxis(); yAxis.SetValue("title", "Price ($)"); Title title = Title.init($"{fopContractSymbol} OHLC"); Layout layout = new Layout(); layout.SetValue("xaxis", xAxis); layout.SetValue("yaxis", yAxis); layout.SetValue("title", title);
fig = go.Figure(data=[candlestick], layout=layout)
chart.WithLayout(layout);
fig.show()
HTML(GenericChart.toChartHTML(chart))
Candlestick charts display the open, high, low, and close prices of the contract.
Line Chart
Follow these steps to plot line charts:
- Get some historical data.
- Drop the first three index levels of the returned
pandas.DataFrame
. - Select the data to plot.
- Call the
plot
method on thepandas
object. - Create
Line
charts. - Create a
Layout
. - Assign the
Layout
to the chart. - Show the plot.
history = qb.history(fop_contract_symbols[:5], datetime(2021, 12, 2), datetime(2021, 12, 30), Resolution.DAILY)
history.index = history.index.droplevel([0,1,2])
closes = history['close'].unstack(level=0)
closes.plot(title="Close", figsize=(15, 5))
var chart = Chart2D.Chart.Line<DateTime, decimal, string>( history.Select(x => x.EndTime), history.Select(x => x.Close) );
LinearAxis xAxis = new LinearAxis(); xAxis.SetValue("title", "Time"); LinearAxis yAxis = new LinearAxis(); yAxis.SetValue("title", "Price ($)"); Title title = Title.init($"{fopContractSymbol} Close"); Layout layout = new Layout(); layout.SetValue("xaxis", xAxis); layout.SetValue("yaxis", yAxis); layout.SetValue("title", title);
chart.WithLayout(layout);
plt.show()
HTML(GenericChart.toChartHTML(chart))
Line charts display the value of the property you selected in a time series.