CoinAPI
Bitfinex Crypto Price Data
Introduction
The Bitfinex Crypto Price Data by CoinAPI is for Cryptocurrency price and volume data points. The data covers 309 Cryptocurrency pairs, starts in January 2013, and is delivered on any frequency from tick to daily. This dataset is created by monitoring the trading activity on Bitfinex.
For more information about the Bitfinex Crypto Price Data dataset, including CLI commands and pricing, see the dataset listing.
About the Provider
CoinAPI was founded by Artur Pietrzyk in 2016 with the goal of providing real-time and historical cryptocurrency market data, collected from hundreds of exchanges. CoinAPI provides access to Cryptocurrencies for traders, market makers, and developers building third-party applications.
Getting Started
The following snippet demonstrates how to request data from the Bitfinex Crypto Price dataset:
from QuantConnect.DataSource import *
from QuantConnect.Data.UniverseSelection import *
# Bitfinex accepts both Cash and Margin type account.
self.SetBrokerageModel(BrokerageName.Bitfinex, AccountType.Cash)
self.SetBrokerageModel(BrokerageName.Bitfinex, AccountType.Margin)
self.symbol = self.AddCrypto("BTCUSD", Resolution.Minute, Market.Bitfinex).Symbol
self.AddUniverse(CryptoCoarseFundamentalUniverse(Market.Bitfinex, self.UniverseSettings, self.UniverseSelectionFilter)) using QuantConnect.DataSource;
using QuantConnect.Data.UniverseSelection;
// Bitfinex accepts both Cash and Margin type account.
SetBrokerageModel(BrokerageName.Bitfinex, AccountType.Cash);
SetBrokerageModel(BrokerageName.Bitfinex, AccountType.Margin);
_symbol = AddCrypto("BTCUSD", Resolution.Minute, Market.Bitfinex).Symbol;
AddUniverse(new CryptoCoarseFundamentalUniverse(Market.Bitfinex, UniverseSettings, UniverseSelectionFilter));
Data Point Attributes
The Bitfinex Crypto Price dataset provides TradeBar, QuoteBar, Tick, and CryptoCoarseFundamental objects.
TradeBar Attributes
TradeBar objects have the following attributes:
QuoteBar Attributes
QuoteBar objects have the following attributes:
Tick Attributes
Tick objects have the following attributes:
CryptoCoarseFundamental Attributes
CryptoCoarseFundamental objects have the following attributes:
Requesting Data
To add Bitfinex Crypto Price data to your algorithm, call the AddCrypto method. Save a reference to the Crypto Symbol so you can access the data later in your algorithm.
class CoinAPIDataAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self.SetStartDate(2020, 6, 1)
self.SetEndDate(2021, 6, 1)
self.SetCash(100000)
# Bitfinex accepts both Cash and Margin type account.
self.SetBrokerageModel(BrokerageName.Bitfinex, AccountType.Margin)
self.symbol = self.AddCrypto("BTCUSD", Resolution.Minute, Market.Bitfinex).Symbol namespace QuantConnect
{
public class CoinAPIDataAlgorithm : QCAlgorithm
{
private Symbol _symbol;
public override void Initialize()
{
SetStartDate(2020, 6, 1);
SetEndDate(2021, 6, 1);
SetCash(100000);
// Bitfinex accepts both Cash and Margin type account.
SetBrokerageModel(BrokerageName.Bitfinex, AccountType.Margin);
_symbol = AddCrypto("BTCUSD", Resolution.Minute, Market.Bitfinex).Symbol;
}
}
}
For more information about creating Crypto subscriptions, see Requesting Data.
Accessing Data
To get the current Bitfinex Crypto Price data, index the Bars, QuoteBars, or Ticks properties of the current Slice with the Crypto Symbol. Slice objects deliver unique events to your algorithm as they happen, but the Slice may not contain data for your security at every time step. To avoid issues, check if the Slice contains the data you want before you index it.
def OnData(self, slice: Slice) -> None:
if self.symbol in slice.Bars:
trade_bar = slice.Bars[self.symbol]
self.Log(f"{self.symbol} close at {slice.Time}: {trade_bar.Close}")
if self.symbol in slice.QuoteBars:
quote_bar = slice.QuoteBars[self.symbol]
self.Log(f"{self.symbol} bid at {slice.Time}: {quote_bar.Bid.Close}")
if self.symbol in slice.Ticks:
ticks = slice.Ticks[self.symbol]
for tick in ticks:
self.Log(f"{self.symbol} price at {slice.Time}: {tick.Price}") public override void OnData(Slice slice)
{
if (slice.Bars.ContainsKey(_symbol))
{
var tradeBar = slice.Bars[_symbol];
Log($"{_symbol} price at {slice.Time}: {tradeBar.Close}");
}
if (slice.QuoteBars.ContainsKey(_symbol))
{
var quoteBar = slice.QuoteBars[_symbol];
Log($"{_symbol} bid at {slice.Time}: {quoteBar.Bid.Close}");
}
if (slice.Ticks.ContainsKey(_symbol))
{
var ticks = slice.Ticks[_symbol];
foreach (var tick in ticks)
{
Log($"{_symbol} price at {slice.Time}: {tick.Price}");
}
}
}
You can also iterate through all of the data objects in the current Slice.
def OnData(self, slice: Slice) -> None:
for symbol, trade_bar in slice.Bars.items():
self.Log(f"{symbol} close at {slice.Time}: {trade_bar.Close}")
for symbol, quote_bar in slice.QuoteBars.items():
self.Log(f"{symbol} bid at {slice.Time}: {quote_bar.Bid.Close}")
for symbol, ticks in slice.Ticks.items():
for tick in ticks:
self.Log(f"{symbol} price at {slice.Time}: {tick.Price}") public override void OnData(Slice slice)
{
foreach (var kvp in slice.Bars)
{
var symbol = kvp.Key;
var tradeBar = kvp.Value;
Log($"{symbol} price at {slice.Time}: {tradeBar.Close}");
}
foreach (var kvp in slice.QuoteBars)
{
var symbol = kvp.Key;
var quoteBar = kvp.Value;
Log($"{symbol} bid at {slice.Time}: {quoteBar.Bid.Close}");
}
foreach (var kvp in slice.Ticks)
{
var symbol = kvp.Key;
var ticks = kvp.Value;
foreach (var tick in ticks)
{
Log($"{symbol} price at {slice.Time}: {tick.Price}");
}
}
}
For more information about accessing Crypto data, see Handling Data.
Historical Data
To get historical Bitfinex Crypto Price data, call the History method with the Crypto Symbol. If there is no data in the period you request, the history result is empty.
# DataFrame history_df = self.History(self.symbol, 100, Resolution.Daily) # TradeBar objects history_trade_bars = self.History[TradeBar](self.symbol, 100, Resolution.Minute) # QuoteBar objects history_quote_bars = self.History[QuoteBar](self.symbol, 100, Resolution.Minute) # Tick objects history_ticks = self.History[Tick](self.symbol, timedelta(seconds=10), Resolution.Tick)
// TradeBar objects var historyTradeBars = History(_symbol, 100, Resolution.Daily); // QuoteBar objects var historyQuoteBars = History<QuoteBar>(_symbol, 100, Resolution.Minute); // Tick objects var historyTicks = History<Tick>(_symbol, TimeSpan.FromSeconds(10), Resolution.Tick);
For more information about historical data, see History Requests.
Universe Selection
To select a dynamic universe of Bitfinex Crypto pairs, call the AddUniverse method with a CryptoCoarseFundamentalUniverse object. A Crypto coarse universe uses a selection function to select Crypto pairs based on their OHLCV and dollar volume of the previous day as of midnight Coordinated Universal Time (UTC).
from QuantConnect.Data.UniverseSelection import *
def Initialize(self) -> None:
self.SetBrokerageModel(BrokerageName.Bitfinex, AccountType.Margin)
self.AddUniverse(CryptoCoarseFundamentalUniverse(Market.Kraken, self.UniverseSettings, self.UniverseSelectionFilter))
def UniverseSelectionFilter(self, crypto_coarse: List[CryptoCoarseFundamental]) -> List[Symbol]:
return [c.Symbol for c in crypto_coarse if c.Volume >= 100 and c.VolumeInUsd > 10000] using QuantConnect.Data.UniverseSelection;
public override void Initialize()
{
SetBrokerageModel(BrokerageName.Bitfinex, AccountType.Margin);
AddUniverse(new CryptoCoarseFundamentalUniverse(Market.Kraken, UniverseSettings, UniverseSelectionFilter));
}
private IEnumerable<Symbol> UniverseSelectionFilter(IEnumerable<CryptoCoarseFundamental> cryptoCoarse)
{
return from c in cryptoCoarse
where c.Volume >= 100m && c.VolumeInUsd > 10000m
select c.Symbol;
}
Remove Subscriptions
To unsubscribe from a Crypto pair that you added with the AddCrypto method, call the RemoveSecurity method.
self.RemoveSecurity(self.symbol)
RemoveSecurity(_symbol);
The RemoveSecurity method cancels your open orders for the security and liquidates your holdings in the virtual pair.
Example Applications
The Bitfinex Crypto Price dataset enables you to accurately design strategies for Cryptocurrencies. Examples include the following strategies:
- Buy and hold
- Trading Cryptocurrency volatility and price action
- Allocating a small portion of your portfolio to Cryptocurrencies to hedge against inflation
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