Giter Site home page Giter Site logo

arnoldkuo / intrinio-realtime-python-sdk Goto Github PK

View Code? Open in Web Editor NEW

This project forked from intrinio/intrinio-realtime-python-sdk

0.0 1.0 0.0 53 KB

Intrinio Python SDK for Real-Time Stock, Forex, and Crypto Prices

Home Page: https://intrinio.com

License: GNU General Public License v3.0

Python 99.19% Shell 0.81%

intrinio-realtime-python-sdk's Introduction

Intrinio Python SDK for Real-Time Stock, Forex, and Crypto Prices

Intrinio provides real-time stock, forex, and crypto prices via a two-way WebSocket connection. To get started, subscribe to a real-time data feed and follow the instructions below.

Requirements

  • Python 3.6

Features

  • Receive streaming, real-time price quotes (last trade, bid, ask)
  • Subscribe to updates from individual securities, forex pairs, or cryptos
  • Subscribe to updates for all securities, forex pairs, or cryptos (contact us for special access)

Installation

pip install intriniorealtime

Example Usage

from intriniorealtime.client import IntrinioRealtimeClient

def on_quote(quote, backlog):
    print("QUOTE: " , quote, "BACKLOG LENGTH: ", backlog)
    
options = {
    'api_key': 'YOUR_INTRINIO_API_KEY',
    'provider': 'iex',
    'on_quote': on_quote
}

client = IntrinioRealtimeClient(options)
client.join(['AAPL','GE','MSFT'])
client.connect()
client.keep_alive()

Handling Quotes and the Queue

When the Intrinio Realtime library receives quotes from the websocket connection, it places them in a queue. This queue has a default maximum size of 10,000 quotes. You can modify this value by specifying a max_queue_size option, as your environment memory constraints allow. Once a quote has been placed in the queue, it is passed to the on_quote handler in the order it was received. Your on_quote handler should process quotes quickly, so that the queue does not reach its maximum size (at which point, the system will log an error and ignore any incoming quotes until the queue has space). We recommend using the a thread class or pool for operations such as writing quotes to a database (or anything else involving time-consuming I/O). The on_quote handler also receives a backlog argument, which is an integer specifying the approximate length of the quote queue. Monitor this to make sure you are processing quotes quickly enough.

Providers

Currently, Intrinio offers realtime data for this SDK from the following providers:

Each has distinct price channels and quote formats, but a very similar API.

Quote Data Format

Each data provider has a different format for their quote data.

QUODD

NOTE: Messages from QUOOD reflect changes in market data. Not all fields will be present in every message. Upon subscribing to a channel, you will receive one quote and one trade message containing all fields of the latest data available.

Trade Message

{ 'ticker': 'AAPL.NB',
  'root_ticker': 'AAPL',
  'protocol_id': 301,
  'last_price_4d': 1594850,
  'trade_volume': 100,
  'trade_exchange': 't',
  'change_price_4d': 24950,
  'percent_change_4d': 15892,
  'trade_time': 1508165070052,
  'up_down': 'v',
  'vwap_4d': 1588482,
  'total_volume': 10209883,
  'day_high_4d': 1596600,
  'day_high_time': 1508164532269,
  'day_low_4d': 1576500,
  'day_low_time': 1508160605345,
  'prev_close_4d': 1569900,
  'volume_plus': 6333150,
  'ext_last_price_4d': 1579000,
  'ext_trade_volume': 100,
  'ext_trade_exchange': 't',
  'ext_change_price_4d': 9100,
  'ext_percent_change_4d': 5796,
  'ext_trade_time': 1508160600567,
  'ext_up_down': '-',
  'open_price_4d': 1582200,
  'open_volume': 100,
  'open_time': 1508141103583,
  'rtl': 30660,
  'is_halted': False,
  'is_short_restricted': False }
  • ticker - Stock Symbol for the security
  • root_ticker - Underlying symbol for a particular contract
  • last_price_4d - The price at which the security most recently traded
  • trade_volume - The number of shares that that were traded on the last trade
  • trade_exchange - The market center where the last trade occurred
  • trade_time - The time at which the security last traded in milliseconds
  • up_down - Tick indicator - up or down - indicating if the last trade was up or down from the previous trade
  • change_price_4d - The difference between the closing price of a security on the current trading day and the previous day's closing price.
  • percent_change_4d - The percentage at which the security is up or down since the previous day's trading
  • total_volume - The accumulated total amount of shares traded
  • volume_plus - NASDAQ volume plus the volumes from other market centers to more accurately match composite volume. Used for NASDAQ Basic
  • vwap_4d - Volume weighted Average Price. VWAP is calculated by adding up the dollars traded for every transaction (price multiplied by number of shares traded) and then dividing by the total shares traded for the day.
  • day_high_4d - A security's intra-day high trading price.
  • day_high_time - Time that the security reached a new high
  • day_low_4d - A security's intra-day low trading price.
  • day_low_time - Time that the security reached a new low
  • ext_last_price_4d - Extended hours last price (pre or post market)
  • ext_trade_volume - The amount of shares traded for a single extended hours trade
  • ext_trade_exchange - Extended hours exchange where last trade took place (Pre or post market)
  • ext_trade_time - Time of the extended hours trade in milliseconds
  • ext_up_down - Extended hours tick indicator - up or down
  • ext_change_price_4d - Extended hours change price (pre or post market)
  • ext_percent_change_4d - Extended hours percent change (pre or post market)
  • is_halted - A flag indicating that the stock is halted and not currently trading
  • is_short_restricted - A flag indicating the stock is current short sale restricted - meaning you can not short sale the stock when true
  • open_price_4d - The price at which a security first trades upon the opening of an exchange on a given trading day
  • open_time - The time at which the security opened in milliseconds
  • open_volume - The number of shares that that were traded on the opening trade
  • prev_close_4d - The security's closing price on the preceding day of trading
  • protocol_id - Internal Quodd ID defining Source of Data
  • rtl - Record Transaction Level - number of records published that day

Quote Message

{ 'ticker': 'AAPL.NB',
  'root_ticker': 'AAPL',
  'bid_size': 500,
  'ask_size': 600,
  'bid_price_4d': 1594800,
  'ask_price_4d': 1594900,
  'ask_exchange': 't',
  'bid_exchange': 't',
  'quote_time': 1508165070850,
  'protocol_id': 302,
  'rtl': 129739 }
  • ticker - Stock Symbol for the security
  • root_ticker - Underlying symbol for a particular contract
  • ask_price_4d - The price a seller is willing to accept for a security
  • ask_size - The amount of a security that a market maker is offering to sell at the ask price
  • ask_exchange - The market center from which the ask is being quoted
  • bid_price_4d - A bid price is the price a buyer is willing to pay for a security.
  • bid_size - The bid size number of shares being offered for purchase at a specified bid price
  • bid_exchange - The market center from which the bid is being quoted
  • quote_time - Time of the quote in milliseconds
  • rtl - Record Transaction Level - number of records published that day
  • protocol_id - Internal Quodd ID defining Source of Data

IEX

{ 'type': 'ask',
  'timestamp': 1493409509.3932788,
  'ticker': 'GE',
  'size': 13750,
  'price': 28.97 }
  • type - the quote type
  • last - represents the last traded price
  • bid - represents the top-of-book bid price
  • ask - represents the top-of-book ask price
  • timestamp - a Unix timestamp (with microsecond precision)
  • ticker - the ticker of the security
  • size - the size of the last trade, or total volume of orders at the top-of-book bid or ask price
  • price - the price in USD

Cryptoquote

Level 1 - Price Update

NOTE: Nil values for some fields denote no change from previous value.

{ 'last_updated': '2018-10-29 23:08:02.277Z',
  'pair_name': 'BTCUSD',
  'pair_code': 'btcusd',
  'exchange_name': 'Binance',
  'exchange_code': 'binance',
  'bid': 6326,
  'bid_size': 6.51933000,
  'ask': 6326.97,
  'ask_size': 6.12643000,
  'change': -151.6899999999996,
  'change_percent': -2.340895061728389,
  'volume': 13777.232772,
  'open': 6480,
  'high': 6505.01,
  'low': 6315,
  'last_trade_time': '2018-10-29 23:08:01.834Z',
  'last_trade_side': None,
  'last_trade_price': 6326.97000000,
  'last_trade_size': 0.00001200,
  'type': 'level_1' }
  • last_updated - a UTC timestamp of when the data was last updated
  • pair_name - the name of the currency pair
  • pair_code - the code of the currency pair
  • exchange_name - the name of the exchange
  • exchange_code - the code of the exchange
  • ask - the ask for the currency pair on the exchange
  • ask_size - the size of the ask for the currency pair on the exchange
  • bid - the bid for the currency pair on the exchange
  • bid_size - the size of the bid for the currency pair on the exchange
  • change - the notional change in price since the last ticker
  • change_percent - the percent change in price since the last ticker
  • volume - the volume of the currency pair on the exchange
  • open - the opening price of the currency pair on the exchange
  • high - the highest price of the currency pair on the exchange
  • low - the lowest price of the currency pair on the exchange
  • last_trade_time - a UTC timestamp of the last trade for the currency pair on the exchange
  • last_trade_side - the side of the last trade
  • buy - this is an update to the buy side of the book
  • sell - this is an update to the sell side of the book
  • last_trade_price - the price of the last trade for the currency pair on the exchange
  • last_trade_size - the size of the last trade for the currency pair on the exchange
  • type - the type of message this is
  • level_1 - a message that denotes a change to the last traded price or top-of-the-book bid or ask
  • level_2 - a message that denotes a change to an order book

Level 2 - Book Update

{ 'pair_name': 'BTCUSD',
  'pair_code': 'btcusd',
  'exchange_name': 'Gemini',
  'exchange_code': 'gemini',
  'side': 'buy',
  'price': 6337.4,
  'size': 0.3,
  'type': 'book_update' }
  • pair_name - the name of the currency pair
  • pair_code - the code of the currency pair
  • exchange_name - the name of the exchange
  • exchange_code - the code of the exchange
  • side - the side of the book this update is for
  • buy - this is an update to the buy side of the book
  • sell - this is an update to the sell side of the book
  • price - the price of this book entry
  • size - the size of this book entry
  • type - the type of message this is
  • level_1 - a message that denotes a change to the last traded price or top-of-the-book bid or ask
  • level_2 - a message that denotes a change to an order book

FXCM

Price update

{ 'code': "EUR/USD",
  'bid_price': 1.13685,
  'ask_price': 1.13711,
  'time': "2018-12-18 22:38:06.964Z" }
  • code - the code of the fx currency pair
  • bid_price - the bid price is the price a buyer is willing to pay
  • ask_price - the ask price is the price a seller is willing to accept
  • time - the UTC timestamp of the price update

Channels

QUODD

To receive price quotes from QUODD, you need to instruct the client to "join" a channel. A channel can be

  • A security ticker with data feed designation (AAPL.NB, MSFT.NB, GE.NB, etc)

IEX

To receive price quotes from IEX, you need to instruct the client to "join" a channel. A channel can be

  • A security ticker (AAPL, MSFT, GE, etc)
  • The security lobby ($lobby) where all price quotes for all securities are posted
  • The security last price lobby ($lobby_last_price) where only last price quotes for all securities are posted

Special access is required for both lobby channels. Contact us for more information.

Cryptoquote

To receive price quotes from Cryptoquote, you need to instruct the client to "join" a channel. A channel can be

  • crypto:market_level_1:{pair_code} - the Level 1 Market channel where all Level 1 price updates for the provided currency pair in all exchanges are posted (i.e. crypto:market_level_1:btcusd)
  • crypto:exchange_level_1:{exchange_code}:{pair_code} - the Level 1 Market channel where all Level 1 price updates for the provided currency pair and exchange are posted
  • crypto:exchange_level_2:{exchange_code}:{pair_code} - the Level 2 Market channel where all Level 2 book updates for the provided currency pair and exchange are posted
  • crypto:firehose - the Firehose channel where all message types for all currency pairs are posted (special access required)

The Intrinio REST API provides a listing of pairs, exchanges, and their corresponding codes:

FXCM

To receive price quotes from FXCM, you need to instruct the client to "join" a channel. A channel can be

  • fxcm:pair:{pair_code} - the fx currency pair channel where price updates for the provided currency pair are posted (i.e. fxcm:pair:EUR/USD)
  • fxcm:base:{currency_code} - the fx currency channel where prices updates for any fx currency pair that has the provided currency as the base currency (i.e. fxcm:base:EUR would post prices from EUR/USD, EUR/JPY, etc.)
  • fxcm:quote:{currency_code} - the fx currency channel where prices updates for any fx currency pair that has the provided currency as the quote currency (i.e. fxcm:quote:USD would post prices from EUR/USD, JPY/USD, etc.)

The Intrinio REST API provides a listing of pairs, currencies, and their corresponding codes:

API Keys

You will receive your Intrinio API Key after creating an account. You will need a subscription to a realtime data feed as well.

Documentation

Methods

client = IntrinioRealtimeClient(options) - Creates an Intrinio Realtime client

  • Parameter options.api_key: Your Intrinio API Key
  • Parameter options.provider: The real-time data provider to use ("iex", "quodd", "cryptoquote")
  • Parameter options.on_quote(quote, backlog): (optional) A function that handles received quotes. backlog is an integer representing the approximate size of the queue of unhandled quotes
  • Parameter options.channels: (optional) An array of channels to join after connecting
  • Parameter options.logger: (optional) A Python Logger instance to use for logging
def on_quote(quote, backlog):
    print("QUOTE: " , quote, "BACKLOG LENGTH: ", backlog)
    
options = {
    'api_key': 'YOUR_INTRINIO_API_KEY',
    'provider': 'iex',
    'on_quote': on_quote
}

client = IntrinioRealtimeClient(options)

client.connect() - Retrieves an auth token, opens the WebSocket connection, starts the self-healing and heartbeat intervals, joins requested channels.


client.keep_alive() - Runs an infinite loop to keep the thread alive, so that the client continues to receive prices. You may call this function after connect() or use your own timing logic (for example: connect, listen for quotes for x minutes, disconnect).


client.disconnect() - Closes the WebSocket, stops the self-healing and heartbeat intervals. You must call this to dispose of the client.


client.on_quote(quote, backlog) - Changes the quote handler function

def on_quote(quote, backlog):
    print("QUOTE: " , quote, "BACKLOG LENGTH: ", backlog)
    
client.on_quote = on_quote

client.join(channels) - Joins the given channels. This can be called at any time. The client will automatically register joined channels and establish the proper subscriptions with the WebSocket connection.

  • Parameter channels - A single channel or list of channels
client.join(["AAPL", "MSFT", "GE"])
client.join("GOOG")

client.leave(channels) - Leaves the given channels.

  • Parameter channels - A single channel or list of channels
client.leave(["AAPL", "MSFT", "GE"])
client.leave("GOOG")

client.leave_all() - Leaves all channels.

intrinio-realtime-python-sdk's People

Contributors

alexnsolo avatar atsmith813 avatar bgse avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.