CoinAPI

Bybit Crypto Price Data

Introduction

The Bybit Crypto Price Data by CoinAPI is for Cryptocurrency price and volume data points. The data covers 478 Cryptocurrency pairs, starts in July 2017, and is delivered on any frequency from tick to daily. This dataset is created by monitoring the trading activity on Bybit.

For more information about the Bybit 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 Bybit Crypto Price dataset:

from QuantConnect.DataSource import *
from QuantConnect.Data.UniverseSelection import *

# Bybit accepts both Cash and Margin account types only.
self.SetBrokerageModel(BrokerageName.Bybit, AccountType.Cash)
self.SetBrokerageModel(BrokerageName.Bybit, AccountType.Margin)

self.symbol = self.AddCrypto("BTCUSDT", Resolution.Minute, Market.Bybit).Symbol

self.AddUniverse(CryptoCoarseFundamentalUniverse(Market.Bybit, self.UniverseSettings, self.UniverseSelectionFilter))
using QuantConnect.DataSource;
using QuantConnect.Data.UniverseSelection;

// Bybit accepts both Cash and Margin account types only.
SetBrokerageModel(BrokerageName.Bybit, AccountType.Cash);
SetBrokerageModel(BrokerageName.Bybit, AccountType.Margin);

_symbol = AddCrypto("BTCUSDT", Resolution.Minute, Market.Bybit).Symbol;

AddUniverse(new CryptoCoarseFundamentalUniverse(Market.Bybit, UniverseSettings, UniverseSelectionFilter));

Data Summary

The following table describes the dataset properties:

PropertyValue
Start DateApril 2022
Asset Coverage428 Currency Pairs
Data DensityDense
ResolutionTick, Second, Minute, Hourly, & Daily
TimezoneUTC

Data Point Attributes

The Bybit 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:

Supported Assets

The following table shows the available Cryptocurrency pairs:

Requesting Data

To add Bybit 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)

        # Set Account Currency to Tether
        self.SetAccountCurrency("USDT", 100000)

        # Bybit accepts both Cash and Margin account types.
        self.SetBrokerageModel(BrokerageName.Bybit, AccountType.Margin)
        
        self.symbol = self.AddCrypto("BTCUSDT", Resolution.Minute, Market.Bybit .Symbol
namespace QuantConnect
{
    public class CoinAPIDataAlgorithm : QCAlgorithm
    {
        private Symbol _symbol;
        
        public override void Initialize()
        {
            SetStartDate(2020, 6, 1);
            SetEndDate(2021, 6, 1);

            // Set Account Currency to Tether
            SetAccountCurrency("USDT", 100000);

            // Bybit accepts both Cash and Margin account types.
            SetBrokerageModel(BrokerageName.Bybit, AccountType.Margin);
            
            _symbol = AddCrypto("BTCUSDT", Resolution.Minute, Market.Bybit).Symbol;
        }
    }
}

For more information about creating Crypto subscriptions, see Requesting Data.

Accessing Data

To get the current Bybit 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 Bybit 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.

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 Bybit 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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