Profit Simulation Results of My TradingBot That Uses Santiment data
Please read my original post on Data provided by Santiment improves Trading Profitability
Having established that now for almost 6 months -I decided to code an intraday TradingBot using above methodology and data from Santiment.
Having done numerous simulations - I decided on following for first release:
Sampling Interval - 2 Hour
Trading Instruments - ['BTC','ETH','XRP','EOS','LTC','BCH','TRX','ADA']
Exchange - BitMex
The reason to select above parameters are:
- BitMex Charges 0.25% brokerage
- Additional 0.05% bid-ask spread load for automated strategy
- Effective charge per trade is 0.3%
- The strategy requires that long and short side trading is must
- BitMex has highest liquidity and maximum Crypto tokens for derivative market
- These are the only eight instruments available on BitMex
The TradingBot Technology details are below:
- Code is written in Python3.6
- Data is fetched from Santiment, coinmarketcap, and BitMex using their api's
- The above described methodology is used to generate trading signals
TradingBot Automated Execution Details are below:
- The bot is hosted on Algorithmia. Details for invoking are given there.
- It can be triggered every two hour using an aws lambda function that triggers using cloudwatch events.
Performance:
A 60 day simulation is done. The results of the simulation are shown in below image:
Link to TradingBot
Disclaimer - You can use the TradingBot at your own risk. I take no responsibility for any losses or legal issues.
Thanks for reading!
If you enjoyed this insight please leave a like, join discussion in the comments and share it with your friends!
Never miss a post from prtyagi!
Get 'early bird' alerts for new insights from this author
Conversations (0)