An unofficial Python package for an automated cryptocurrency trader on the popular trading platform Robinhood
- Bitcoin (BTC) wallet address:
bc1qvljdr72k3tz6w8k6hpnhv3722fmsgftkeeakx8 - Ethereum (ETH), US Dollar Coin (USDC), Polygon (MATIC), Shiba Inu (SHIB), Avalanche (AVAX), Uniswap (UNI), Chainlink (LINK), Compound (COMP), Aave (AAVE) wallet address:
0xDd5E232561177e5E48432F6BA4fD12173Bbe869A - Cardano (ADA) wallet address:
addr1q8g90gwc2u82fnv6m0pw7crervtslar746rxx06apfcf44cg6h5us0avc20ee2azzun58lgylyl54sjr6y9efwq86krst57w35 - Solana (SOL) wallet address:
EzQveUMk45NmuftUSGLqRH8DUBmxzCpS3HuEchFc5t1X - Dogecoin (DOGE) wallet address:
DQCzww2Sz9UhtAaMZbHHGofng1ioRgTkEu - Ethereum Classic (ETC) wallet address:
0x42D1125fB02D0eaAA3b0D57330EC46AaF5F95F15 - Litecoin (LTC) wallet address:
ltc1qvwzqm4jxqt0gjf7fwzxpnvtlssxtc9lutrnxsh - Bitcoin Cash (BCH) wallet address:
bitcoincash:qr4h4edxt5muv2ns3kls0d4ca8lezu8x9v9d4r227h - Tezos (XTZ) wallet address:
tz1Wexc9bv6BxCBgyXwaqmJq1RNYxXBr9aff - Stellar Lumens (XLM):
GB2ES2N326MZK4EGJBKN3ZARCQ5RTFQSAWIJAAKFVIIIJSCC35TXIMLB, memo (needs to be included):1592369023
Join Robinhood with my link and we'll both pick our own free stock 🤝 https://join.robinhood.com/tylerp5773
pip install robinhood-crypto-trader
import robinhood_crypto_trader.crypto_trader as rct
config = {
# the cryptocurrencies that you want to trade
'crypto': ['BTC', 'ETH'],
'username': 'your_robinhood_username',
'password': 'your_robinhood_password',
'days_to_run': 1,
# option to export a csv of completed crypto orders when you finish trading
'export_csv': False,
# option to plot the price of the cryptocurrency
'plot_crypto': False,
# option to plot your portfolio balance
'plot_portfolio': False,
# three modes: 'safelive' (simulating live trading on the market), 'live', and 'backtest'
'mode': 'safelive',
'backtest': {
# the time between data points for backtesting, options are ’15second’, ‘5minute’, ‘10minute’, ‘hour’, ‘day’, or ‘week’
'interval': '5minute',
# the entire time frame to collect data points, options are ‘hour’, ‘day’, ‘week’, ‘month’, ‘3month’, ‘year’, or ‘5year’
'span': 'hour',
# the times of day to collect data points, options are ‘Regular’ (6 hours a day), ‘trading’ (9 hours a day), ‘extended’ (16 hours a day), ‘24_7’ (24 hours a day)
'bounds': '24_7',
# the number of data points needed for your strategy
'index': 10
},
'trader': {
# the time between data points for live trading or simulated live trading, options are ’15second’, ‘5minute’, ‘10minute’, ‘hour’, ‘day’, or ‘week’
'interval': '5minute',
# the entire time frame to collect data points, options are ‘hour’, ‘day’, ‘week’, ‘month’, ‘3month’, ‘year’, or ‘5year’
'span': 'hour',
# the times of day to collect data points, options are ‘Regular’ (6 hours a day), ‘trading’ (9 hours a day), ‘extended’ (16 hours a day), ‘24_7’ (24 hours a day)
'bounds': '24_7'
},
# options are 'boll' and 'macd_rsi', user-defined functions will come in later versions
'determine_trade_function': 'boll',
# parameters to pass into boll or macd_rsi, boll(period=20, std_width=2.0) and macd_rsi(rsi_period, rsi_index, rsi_sell_level, rsi_buy_level, macd_fast_period, macd_slow_period, macd_signal_period, macd_index)
'builtin_trade_function_arguments': [],
# option to use actual cash in account or a specific amount
'use_cash': True,
# if 'use_cash' is True, 'cash' is the amount of money to start simulating trading on the market
'cash': 2000,
# the maximum number of dollars that can be lost before the trading automatically shuts down
'loss_threshold': 50.00,
# the maximum percentage lost during trading before the trading automatically shuts down
'loss_percentage': 5,
# the amount to be multiplied by your amount of holdings for a specific cryptocurrency that can be sold in one iteration
'holdings_factor': 0.20,
# the amount to be multiplied by your amount of cash that can be sold for a specific cryptocurrency in one iteration
'cash_factor': 0.20,
# options for 'buy_order_type' and 'sell_order_type' are 'market' and 'limit'
'buy_order_type': 'market',
'sell_order_type': 'market',
'only_sell_above_average_bought_price': False, # version 1.0.8 onwards
'only_buy_below_average_bought_price': False # version 1.0.8 onwards
}
tr = rct.Trader(config)
tr.run()
tr.logout()Currently under development