Please read my original post on [Data provided by Santiment improves Trading Profitability](https://steemit.com/crypto/@prameshtyagi/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:
1. BitMex Charges 0.25% brokerage
2. Additional 0.05% bid-ask spread load for automated strategy
3. Effective charge per trade is 0.3%
4. The strategy requires that long and short side trading is must
5. BitMex has highest liquidity and maximum Crypto tokens for derivative market
6. These are the only eight instruments available on BitMex

The TradingBot Technology details are below:
1. Code is written in Python3.6
2. Data is fetched from Santiments, coinmarketcap, and BitMex using their api's
3. The above described methodology is used to generate trading signals

TradingBot Automated Execution Details are below:
1. The bot is hosted on [Algorithmia](https://algorithmia.com). Details for invoking are given there.
2. 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:

![TradingBotSimulation.png](https://cdn.steemitimages.com/DQmQPHzgZLdMwtaR2p1f5i9y2m2r5NCsjrq6iAxSAgtF8Re/TradingBotSimulation.png)

Link to [TradingBot](https://algorithmia.com/algorithms/ptyagi/TradingBot)

Disclaimer - You can use the TradingBot at your own risk. I take no responsibility for any losses or legal issues.