Getting Started with Market Data API

This is a quick guide on how to start consuming market data via APIs. Starting from beginning to end, this section outlines how to install Alpaca’s software development kit (SDK), create a free alpaca account, locate your API keys, and how to request both historical and real-time data.

Installing Alpaca’s Client SDK

In this guide, we’ll be making use of the SDKs provided by Alpaca. Alpaca maintains SDKs in four languages: Python, JavaScript, C#, and Go. Follow the steps in the installation guide below to install the SDK of your choice before proceeding to the next section.

pip install alpaca-py
go get -u github.com/alpacahq/alpaca-trade-api-go/v3/alpaca
npm install --save @alpacahq/alpaca-trade-api
dotnet add package Alpaca.Markets

Generate API Keys

How to Request Market Data Through the SDK

With the SDK installed and our API keys ready, you can start requesting market data. Alpaca offers many options for both historical and real-time data, so to keep this guide succint, these examples are on obtaining historical and real-time bar data. Information on what other data is available can be found in the Market Data API reference.

To start using the SDK for historical data, import the SDK and instantiate the crypto historical data client. It’s not required for this client to pass in API keys or a paper URL.

from alpaca.data.historical import CryptoHistoricalDataClient

# No keys required for crypto data
client = CryptoHistoricalDataClient()
package main

import "github.com/alpacahq/alpaca-trade-api-go/v3/marketdata"

func main() {
	// No keys required for crypto data
	client := marketdata.NewClient(marketdata.ClientOpts{})
}
import Alpaca from "@alpacahq/alpaca-trade-api";

// Alpaca() requires the API key and sectret to be set, even for crypto
const alpaca = new Alpaca({
  keyId: "YOUR_API_KEY",
  secretKey: "YOUR_API_SECRET",
});

Next we’ll define the parameters for our request. Import the request class for crypto bars, CryptoBarsRequest and TimeFrame class to access time frame units more easily. This example queries for historical daily bar data of Bitcoin in the first week of September 2022.

from alpaca.data.requests import CryptoBarsRequest
from alpaca.data.timeframe import TimeFrame

# Creating request object
request_params = CryptoBarsRequest(
  symbol_or_symbols=["BTC/USD"],
  timeframe=TimeFrame.Day,
  start="2022-09-01",
  end="2022-09-07"
)
request := marketdata.GetCryptoBarsRequest{
  TimeFrame: marketdata.OneDay,
  Start:     time.Date(2022, 9, 1, 0, 0, 0, 0, time.UTC),
  End:       time.Date(2022, 9, 7, 0, 0, 0, 0, time.UTC),
}
let options = {
  start: "2022-09-01",
  end: "2022-09-07",
  timeframe: alpaca.newTimeframe(1, alpaca.timeframeUnit.DAY),
};

Finally, send the request using the client’s built-in method, get_crypto_bars. Additionally, we’ll access the .df property which returns a pandas DataFrame of the response.

# Retrieve daily bars for Bitcoin in a DataFrame and printing it
btc_bars = client.get_crypto_bars(request_params)

# Convert to dataframe
btc_bars.df
	bars, err := client.GetCryptoBars("BTC/USD", request)
	if err != nil {
		panic(err)
	}
	for _, bar := range bars {
		fmt.Printf("%+v\n", bar)
	}
(async () => {  
  const bars = await alpaca.getCryptoBars(["BTC/USD"], options);

  console.table(bars.get("BTC/USD"));
})();

Returns

                                       open      high       low     close        volume  trade_count          vwap
symbol  timestamp
BTC/USD 2022-09-01 05:00:00+00:00  20055.79  20292.00  19564.86  20156.76   7141.975485     110122.0  19934.167845
        2022-09-02 05:00:00+00:00  20156.76  20444.00  19757.72  19919.47   7165.911879      96231.0  20075.200868
        2022-09-03 05:00:00+00:00  19924.83  19968.20  19658.04  19806.11   2677.652012      51551.0  19800.185480
        2022-09-04 05:00:00+00:00  19805.39  20058.00  19587.86  19888.67   4325.678790      62082.0  19834.451414
        2022-09-05 05:00:00+00:00  19888.67  20180.50  19635.96  19760.56   6274.552824      84784.0  19812.095982
        2022-09-06 05:00:00+00:00  19761.39  20026.91  18534.06  18724.59  11217.789784     128106.0  19266.835520
{Timestamp:2022-09-01 05:00:00 +0000 UTC Open:20055.79 High:20292 Low:19564.86 Close:20156.76 Volume:7141.975485 TradeCount:110122 VWAP:19934.1678446199}
{Timestamp:2022-09-02 05:00:00 +0000 UTC Open:20156.76 High:20444 Low:19757.72 Close:19919.47 Volume:7165.911879 TradeCount:96231 VWAP:20075.2008677126}
{Timestamp:2022-09-03 05:00:00 +0000 UTC Open:19924.83 High:19968.2 Low:19658.04 Close:19806.11 Volume:2677.652012 TradeCount:51551 VWAP:19800.1854803241}
{Timestamp:2022-09-04 05:00:00 +0000 UTC Open:19805.39 High:20058 Low:19587.86 Close:19888.67 Volume:4325.67879 TradeCount:62082 VWAP:19834.4514137038}
{Timestamp:2022-09-05 05:00:00 +0000 UTC Open:19888.67 High:20180.5 Low:19635.96 Close:19760.56 Volume:6274.552824 TradeCount:84784 VWAP:19812.0959815687}
{Timestamp:2022-09-06 05:00:00 +0000 UTC Open:19761.39 High:20026.91 Low:18534.06 Close:18724.59 Volume:11217.789784 TradeCount:128106 VWAP:19266.8355201911}
┌─────────┬──────────┬──────────┬──────────┬────────────┬──────────┬────────────────────────┬──────────────┬──────────────────┐
│ (index) │ Close    │ High     │ Low      │ TradeCount │ Open     │ Timestamp              │ Volume       │ VWAP             │
├─────────┼──────────┼──────────┼──────────┼────────────┼──────────┼────────────────────────┼──────────────┼──────────────────┤
│ 0       │ 20156.76 │ 20292    │ 19564.86 │ 110122     │ 20055.79 │ '2022-09-01T05:00:00Z' │ 7141.975485  │ 19934.1678446199 │
│ 1       │ 19919.47 │ 20444    │ 19757.72 │ 96231      │ 20156.76 │ '2022-09-02T05:00:00Z' │ 7165.911879  │ 20075.2008677126 │
│ 2       │ 19806.11 │ 19968.2  │ 19658.04 │ 51551      │ 19924.83 │ '2022-09-03T05:00:00Z' │ 2677.652012  │ 19800.1854803241 │
│ 3       │ 19888.67 │ 20058    │ 19587.86 │ 62082      │ 19805.39 │ '2022-09-04T05:00:00Z' │ 4325.67879   │ 19834.4514137038 │
│ 4       │ 19760.56 │ 20180.5  │ 19635.96 │ 84784      │ 19888.67 │ '2022-09-05T05:00:00Z' │ 6274.552824  │ 19812.0959815687 │
│ 5       │ 18724.59 │ 20026.91 │ 18534.06 │ 128106     │ 19761.39 │ '2022-09-06T05:00:00Z' │ 11217.789784 │ 19266.8355201911 │
└─────────┴──────────┴──────────┴──────────┴────────────┴──────────┴────────────────────────┴──────────────┴──────────────────┘

Request ID

All market data API endpoint provides a unique identifier of the API call in the response header with X-Request-ID key, the Request ID helps us to identify the call chain in our system.

Make sure you provide the Request ID in all support requests that you created, it could help us to solve the issue as soon as possible. Request ID can't be queried in other endpoints, that is why we suggest to persist the recent Request IDs.

$ curl -v https://data.alpaca.markets/v2/stocks/bars
...
> GET /v2/stocks/bars HTTP/1.1
> Host: data.alpaca.markets
> User-Agent: curl/7.88.1
> Accept: */*
>
< HTTP/1.1 403 Forbidden
< Date: Fri, 25 Aug 2023 09:37:03 GMT
< Content-Type: application/json
< Content-Length: 26
< Connection: keep-alive
< X-Request-ID: 0d29ba8d9a51ee0eb4e7bbaa9acff223
<
...