Use Crypto Trading Bot to autonomously trade and monitor over 250 crypto currencies on Bittrex. Users can configure their own custom trading parameters which will control when the bot buys and sells.
- Tracking for over 250 coins on Bittrex
- Automated trading based on user configurations
- Automated technical analysis (TA)
- Trade analysis and tracking
- Email alerts for trades and signals
- Slack notifications for trades and signals
- Informative console outputs for user monitoring
- Logging to track and document errors on the Bittrex API
- Well documented script
Users can add their own algorithms and trading strategies based on technical analysis signals such as RSI, 24 Hour Volume, and Unit Price.
- Bollinger Bands
- Moving Average
- Bittrex for an awesome API
- Eric Somdahl for writing the Python wrapper for the Bittrex API
- Abenezer Mamo for creating the Crypto Signals project which formed the foundation for this project
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This project requires Python 3.X.X, which can be be found here.
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To install the dependencies for this project, run
pip install -r requirements.txt
. If you receive a'pip' is not recognized as an internal or external command
error, you need to addpip
to your environmentalpath
variable. -
Add a directory named
database
to the root directory of your project and add asecrets.json
file to it. If you run the project without adding this file, the program will create it for you and populate it with the template values. The contents of the file should mirror the following:{ "bittrex": { "bittrexKey": "BITTREX_API_KEY", "bittrexSecret": "BITTREX_SECRET" }, "gmail": { "recipientName": "Folks", "addressList": [ "EXAMPLE_RECIPIENT_1@GMAIL.COM", "EXAMPLE_RECIPIENT_2@GMAIL.COM", "ETC..." ], "username": "EXAMPLE_EMAIL@GMAIL.COM", "password": "GMAIL_PASSWORD" }, "slack": { "channel": "SLACK_CHANNEL", "token": "SLACK_TOKEN" } }
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To use the Bittrex functionality, you need to setup the following:
bittrex_key
is your Bittrex API key you can get from herebittrex_secret
is your Bittrex API secret key
NOTE: The
READ INFO
,TRADE LIMIT
, andTRADE MARKET
permissions need to be enabled on your API key in order for the trade functionality to be available -
To use the Gmail functionality, you need to setup the following:
username
is your Gmail account's username (usually your account's email address)password
is your Gmail account's passwordaddress_list
is the list of recipients you'd like to send emails to
If you don't want to use the email notifications, you can leave out the
gmail
code. -
To use the Slack functionality, you need to setup the following:
channel
is your Slack groups's channel (usually starts with a '#' character)token
is your Slack account's authentication token (you need to create a Slack app on the Slack API website for your group - from which you can generate this authentication token)
If you don't want to use the Slack notifications, you can leave out the
slack
code.
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Add a directory named
database
to the root directory of your project and add asettings.json
file to it. If you run the project without adding this file, the program will create it for you and populate it with the template values. The contents of the file should mirror the following:{ "sound": false, "tradeParameters": { "tickerInterval": "TICKER_INTERVAL", "buy": { "btcAmount": 0, "rsiThreshold": 0, "24HourVolumeThreshold": 0, "minimumUnitPrice": 0, "maxOpenTrades": 0 }, "sell": { "lossMarginThreshold": 0, "rsiThreshold": 0, "minProfitMarginThreshold": 0, "profitMarginThreshold": 0 } }, "pauseParameters": { "buy": { "rsiThreshold": 0, "pauseTime": 0 }, "sell": { "profitMarginThreshold": 0, "pauseTime": 0 }, "balance": { "pauseTime": 0 } } }
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To use the Sound functionality, you need to setup the following:
sound
is a boolean that determines whether audio notifications should be played
If you don't want to receive audio notifications, you can leave out the
sound
code or set it tofalse
. -
To use the Trade functionality, you need to setup the following:
tickerInterval
is the exchange ticker interval you want to use. It should be one of the following:oneMin
,fiveMin
,thirtyMin
,hour
,week
,day
,month
buy
:btcAmount
is the amount of BTC you want the bot to spend per buyrsiThreshold
is the upper RSI buy threshold. An RSI lower than this will result in a buy signal24HourVolumeThreshold
is the lower 24 hour volume buy threshold. Coin pairs with a 24 hour volume lower than this will not be considered for buyingminimumUnitPrice
is the lower unit price buy threshold. Coin pairs with a unit price lower than this will not be considered for buyingmaxOpenTrades
is the maximum amount of open trades the bot is allowed to have at one time
sell
:lossMarginThreshold
is the lower loss margin threshold. Coin pairs with a profit margin lower than this will be sold if their RSI is above thesell
rsiThreshold
. If this value is omitted or set to zero (0
), this parameter will be ignored and coin pairs will not be sold at a lossrsiThreshold
is the lower RSI sell threshold. An RSI higher than this will result in a sell signalminProfitMarginThreshold
is the upper minimum profit margin sell threshold. Coin pairs with a profit margin lower than this will not be soldprofitMarginThreshold
is the upper profit margin sell threshold. Coin pairs with a profit margin higher than this will be sold regardless of its RSI
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To use the Pause functionality, you need to setup the following:
buy
:rsiThreshold
is the lower RSI pause threshold. An RSI higher than this will result in the coin pair not being tracked forpauseTime
minutespauseTime
is the amount of minutes to pause coin pair tracking by
sell
:profitMarginThreshold
is the upper profit margin pause threshold. A profit margin lower than this will result in the coin pair not being tracked forpauseTime
minutespauseTime
is the amount of minutes to pause coin pair tracking by If you prefer to sell at a small loss rather than holding onto (pausing) sell coin pairs, thelossMarginThreshold
trade parameter should be set appropriately and then thesell
pause parameter may be omitted.
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Navigate to the src
file directory in terminal, and run the command python app.py
to start the trading bot.
(None: I would highly recommend getting the python IDE PyCharm by JetBrains. Its a great development tool and makes running and debugging this project a breeze. A free community edition can be found here.)
This system allows you to autonomously make and track crypto currency trades on Bittrex. It uses a local database strategy to ensure data is not lost.
To use this functionality, first set the desired trade parameters in the settings.json
file. An example of reasonably
successful trading parameters can be found below:
{
"sound": false,
"tradeParameters": {
"tickerInterval": "fiveMin",
"buy": {
"btcAmount": 0.001,
"rsiThreshold": 20,
"24HourVolumeThreshold": 25,
"minimumUnitPrice": 0.00001,
"maxOpenTrades": 3
},
"sell": {
"lossMarginThreshold": -2.5,
"rsiThreshold": 50,
"minProfitMarginThreshold": 0.5,
"profitMarginThreshold": 2.5
}
},
"pauseParameters": {}
}
The analyse_buys()
and analyse_sells()
functions will then apply the buy_strategy(coin_pair)
and
sell_strategy(coin_pair)
functions to each valid coin pair on Bittrex. These functions will check each coin pair for
buy/sell signals by utilising the the following two functions:
from directory_utilities import get_json_from_file
settings_file_directory = "../database/settings.json"
settings = get_json_from_file(settings_file_directory)
buy_trade_params = settings["tradeParameters"]["buy"]
sell_trade_params = settings["tradeParameters"]["sell"]
def check_buy_parameters(rsi, day_volume, current_buy_price):
"""
Used to check if the buy conditions have been met
:param rsi: The coin pair's current RSI
:type rsi: float
:param day_volume: The coin pair's current 24 hour volume
:type day_volume: float
:param current_buy_price: The coin pair's current price
:type current_buy_price: float
:return: Boolean indicating if the buy conditions have been met
:rtype : bool
"""
rsi_check = rsi is not None and rsi <= buy_trade_params["buy"]["rsiThreshold"]
day_volume_check = day_volume >= buy_trade_params["buy"]["24HourVolumeThreshold"]
current_buy_price_check = current_buy_price >= buy_trade_params["buy"]["minimumUnitPrice"]
return rsi_check and day_volume_check and current_buy_price_check
def check_sell_parameters(rsi, profit_margin):
"""
Used to check if the sell conditions have been met
:param rsi: The coin pair's current RSI
:type rsi: float
:param profit_margin: The coin pair's current profit margin
:type profit_margin: float
:return: Boolean indicating if the sell conditions have been met
:rtype : bool
"""
rsi_check = rsi is not None and rsi >= sell_trade_params["sell"]["rsiThreshold"]
lower_profit_check = profit_margin >= sell_trade_params["sell"]["minProfitMarginThreshold"]
upper_profit_check = profit_margin >= sell_trade_params["sell"]["profitMarginThreshold"]
loss_check = (sell_trade_params["lossMarginThreshold"] is not None and
0 > sell_trade_params["lossMarginThreshold"] >= profit_margin)
return (rsi_check and lower_profit_check) or upper_profit_check or loss_check
See the source code for a more detailed description.
If you found this project helpful and would like to support me, you can donate to one of the following crypto addresses:
- BTC: 1E3xMaoFfuk52HaCb7KRbHmezeUumcyRjy
- ETH: 0x6D5f8775Dc844D8B1E6f2359abF9939E75A7A225
I am not your financial adviser, nor is this tool. Use this program cautiously as it will trade with your crypto-currencies. None of the contributors to this project are liable for any loses you may incur. Be wise and always do your own research.