1596378553
Learn how to build your own Cryptocurrency Trading Bot with Python
If you’ve been in the cryptocurrency market for more than a few days, you probably know the feeling of the market dropping and you feel hopeless in cashing out your portfolio into a stablecoin or Bitcoin.
Instead of panicking, take control of your portfolio by learning how to write powerful scripts which can instantly execute the trades you need to move in and out of positions.
By the end of this tutorial, you will be equipped with tools which allow you to fully automate and control your portfolio without ever logging into your exchange accounts.
This video series will walk you through the process of building each aspect of your own cryptocurrency trading bot.
The Shrimpy Developer APIs are the premier crypto trading APIs in the market. Collect data across 17+ exchanges, thousands of markets, and more. Access historical tick-by-tick trade data, OHLCV candlesticks, and orderbook snapshots.
Execute trades in real-time or use our smart order routing endpoints. Everything is at the tip of your fingers for immediate integration into your products or services.
Installation
pip install shrimpy-python
Quick Start
All requests are synchronous. For a comprehensive API usage guide, please see https://developers.shrimpy.io/docs.
If you would like to use the async/await style similar to our Node.js library, consider using the asyncio python library to wrap the synchronous requests provided here.
import shrimpy
public_key = 'bea8edb348af226...'
secret_key = 'df84c39fb49026dcad9d99...'
client = shrimpy.ShrimpyApiClient(public_key, secret_key)
ticker = client.get_ticker('bittrex')
Public Endpoints
The clients for both the public and authenticated endpoints are identical. Please note that if you attempt to use the authenticated endpoints without keys, it will fail.
supported_exchanges = client.get_supported_exchanges()
exchange_assets = client.get_exchange_assets('bittrex')
trading_pairs = client.get_trading_pairs('bittrex')
Market Data Methods
ticker = client.get_ticker('bittrex')
orderbooks = client.get_orderbooks(
'bittrex', # exchange
'XLM', # base_symbol
'BTC', # quote_symbol
10 # limit
)
candles = client.get_candles(
'bittrex', # exchange
'XLM', # base_trading_symbol
'BTC', # quote_trading_symbol
'15m' # interval
)
Authenticated Endpoints
As mentioned above, please use the provided Shrimpy API keys to access the authenticated endpoints. Endpoints such as user management require the master api key, while endpoints such as trading will work with either a master api key or a user api key.
User Management Methods
users = client.list_users()
user = client.get_user(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8' # user_id
)
create_user_response = client.create_user(
'mycustomname' # (optional) name
)
user_id = create_user_response['id']
client.name_user(
'mycustomname' # name
)
User API Keys Methods
public_user_keys = client.get_api_keys(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8' # user_id
)
user_api_keys = client.create_api_keys(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8' # user_id
)
client.delete_api_keys(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
'51ac18b7d208f59b3c88acbb1ecefe6ba6be6ea4edc07e7a2450307ddc27ab80' # public_key
)
permissions = client.get_api_key_permissions(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
'51ac18b7d208f59b3c88acbb1ecefe6ba6be6ea4edc07e7a2450307ddc27ab80' # public_key
)
client.set_api_key_permissions(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
'51ac18b7d208f59b3c88acbb1ecefe6ba6be6ea4edc07e7a2450307ddc27ab80', # public_key
True, # enable account methods
False # enable trading methods
)
Account Methods
accounts = client.list_accounts(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8' # user_id
)
account = client.get_account(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123 # exchange_account_id
)
link_account_response = client.link_account(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
'binance', # exchange
'GOelL5FT6TklPxAzICIQK25aqct52T2lHoKvtcwsFla5sbVXmeePqVJaoXmXI6Qd', # public_key (a.k.a. apiKey)
'SelUuFq1sF2zGd97Lmfbb4ghITeziKo9IvM5NltjEdffatRN1N5vfHXIU6dsqRQw', # private_key (a.k.a. secretKey
'mypassphrase' # (optional)passphrase - required for exchanges with passphrases like CoinbasePro
)
account_id = link_account_response['id']
client.unlink_account(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
456 # account_id
)
ip_addresses = client.get_ip_whitelist_addresses(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8' # user_id
)
Trading Methods
create_trade_response = client.create_trade(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123, # account_id
'BTC', # from_symbol
'ETH', # to_symbol
'0.01' # amount of from_symbol
)
trade_id = create_trade_response['id']
trade = client.get_trade_status(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123, # exchange_account_id
'72dff099-54c0-4a32-b046-5c19d4f55758' # trade_id
)
active_trades = client.list_active_trades(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123, # exchange_account_id
)
Balance Methods
balance = client.get_balance(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123 # account_id
)
total_balance_history = client.get_total_balance_history(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123 # account_id
)
Asset Management Methods
client.rebalance(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123 # account_id
)
rebalance_period_hours = client.get_rebalance_period(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123 # account_id
)
client.set_rebalance_period(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123, # account_id
24 # rebalance_period in hours
)
strategy = client.get_strategy(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123 # account_id
)
client.set_strategy(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123, # account_id
{
'isDynamic': False,
'allocations': [
{ 'symbol': 'BTC', 'percent': '50' },
{ 'symbol': 'ETH', 'percent': '50' }
]
} # strategy
)
client.clear_strategy(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123 # account_id
)
client.allocate(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123, # account_id
{
'isDynamic': False,
'allocations': [
{ 'symbol': 'USDT', 'percent': '100' }
]
} # strategy
)
Limit Order Methods
place_limit_order_response = client.place_limit_order(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123, # account_id
'BTC', # base_symbol
'ETH', # quote_symbol
'0.01', # quantity of base_symbol
'0.026', # price
'SELL', # side
'IOC', # time_in_force
)
limit_order_id = place_limit_order_response['id']
order = client.get_limit_order_status(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123, # account_id
'8c2a9401-eb5b-48eb-9ae2-e9e02c174058' # order_id
)
orders = client.list_open_orders(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123 # account_id
)
order = client.cancel_limit_order(
'701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
123, # account_id
'8c2a9401-eb5b-48eb-9ae2-e9e02c174058' # order_id
)
Analytics Methods
backtest_assets = client.get_backtest_assets(
'kucoin' # exchange
)
backtest_results = client.run_backtest(
'binance', # exchange
10, # rebalance_period in hours
'0.1', # fee in percent
'2018-05-19T00:00:00.000Z', # start_time
'2018-11-02T00:00:00.000Z', # end_time
'5000', # initial_value in USD
[
{ 'symbol': "BTC", 'percent': '50' },
{ 'symbol': "ETH", 'percent': '50' }
] # allocations
)
Insight Methods
asset_dominance = client.get_asset_dominance()
asset_popularity = client.get_asset_popularity()
Historical Methods
count = client.get_historical_count(
'trade',
'Bittrex',
'LTC',
'BTC',
'2019-05-19T01:00:00.000Z',
'2019-05-20T02:00:00.000Z'
)
instruments = client.get_historical_instruments()
bittrex_instruments = client.get_historical_instruments('Bittrex')
trades = client.get_historical_trades(
'Bittrex',
'LTC',
'BTC',
'2019-05-19T00:00:00.000Z',
'2019-05-20T00:00:00.000Z',
100
)
orderbooks = client.get_historical_orderbooks(
'Bittrex',
'LTC',
'BTC',
'2019-05-19T00:00:00.000Z',
'2019-05-20T00:00:00.000Z',
100
)
candles = client.get_historical_candles(
'Bittrex',
'LTC',
'BTC',
'2019-05-19T00:00:00.000Z',
'2019-05-20T00:00:00.000Z',
100,
'1m'
)
Management Methods
status = client.get_status()
usage = client.get_usage()
Websocket
Users can access the Shrimpy websocket feed using the ShrimpyWsClient class. A handler must be
passed in on subscription that is responsible for processing incoming messages from the websocket
stream. It is recommended that you simply send the message to another processing thread from your custom
handler to prevent blocking the incoming message stream.
The client handles pings to the Shrimpy server based on the API Documentation
import shrimpy
public_key = '6d73c2464a71b94a81aa7b13d...'
private_key = 'e6238b0de3cdf19c7861f8e8f5d137ce7113ac1e884b191a14bbb2...'
# This is a sample handler, it simply prints the incoming message to the console
def error_handler(err):
print(err)
# This is a sample handler, it simply prints the incoming message to the console
def handler(msg):
print(msg)
api_client = shrimpy.ShrimpyApiClient(public_key, private_key)
raw_token = api_client.get_token()
client = shrimpy.ShrimpyWsClient(error_handler, raw_token['token'])
subscribe_data = {
"type": "subscribe",
"exchange": "coinbasepro",
"pair": "ltc-btc",
"channel": "orderbook"
}
# Start processing the Shrimpy websocket stream!
client.connect()
client.subscribe(subscribe_data, handler)
# Once complete, stop the client
client.disconnect()
Exchange: Binance.com
Github: https://github.com/shrimpy-dev/shrimpy-python
Docs: https://developers.shrimpy.io/docs
#cryptocurrency #bitcoin #blockchain #python
What is GEEK
Buddha Community
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top 30 Python Tips and Tricks for Beginners
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
1) swap two numbers.
2) Reversing a string in Python.
3) Create a single string from all the elements in list.
4) Chaining Of Comparison Operators.
5) Print The File Path Of Imported Modules.
6) Return Multiple Values From Functions.
7) Find The Most Frequent Value In A List.
8) Check The Memory Usage Of An Object.
…
#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners
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Create a Twitter bot with Python that tweets images or status updates at a set interval. The Python script also scrapes the web for data.
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=8u-zJVVVhT4&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=14
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
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Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!
#python #a twitter bot #a twitter bot with python #bot #bot with python #create a twitter bot with python
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Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services
Introduction
When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.
Python Packages
When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,
- revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
- microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
- Anaconda 4.2 – Anaconda is an opensource Python package
#machine learning #sql server #executing python in sql server #machine learning using python #machine learning with sql server #ml in sql server using python #python in sql server ml #python packages #python packages for machine learning services #sql server machine learning services
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Lambda, Map, Filter functions in python
Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map
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This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you’ll be a python programmer in no time!
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⌨️ (0:00) Introduction
⌨️ (1:45) Installing Python & PyCharm
⌨️ (6:40) Setup & Hello World
⌨️ (10:23) Drawing a Shape
⌨️ (15:06) Variables & Data Types
⌨️ (27:03) Working With Strings
⌨️ (38:18) Working With Numbers
⌨️ (48:26) Getting Input From Users
⌨️ (52:37) Building a Basic Calculator
⌨️ (58:27) Mad Libs Game
⌨️ (1:03:10) Lists
⌨️ (1:10:44) List Functions
⌨️ (1:18:57) Tuples
⌨️ (1:24:15) Functions
⌨️ (1:34:11) Return Statement
⌨️ (1:40:06) If Statements
⌨️ (1:54:07) If Statements & Comparisons
⌨️ (2:00:37) Building a better Calculator
⌨️ (2:07:17) Dictionaries
⌨️ (2:14:13) While Loop
⌨️ (2:20:21) Building a Guessing Game
⌨️ (2:32:44) For Loops
⌨️ (2:41:20) Exponent Function
⌨️ (2:47:13) 2D Lists & Nested Loops
⌨️ (2:52:41) Building a Translator
⌨️ (3:00:18) Comments
⌨️ (3:04:17) Try / Except
⌨️ (3:12:41) Reading Files
⌨️ (3:21:26) Writing to Files
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📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=rfscVS0vtbw&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=3
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!
#python #learn python #learn python for beginners #learn python - full course for beginners [tutorial] #python programmer #concepts in python