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High frequency algotrading bot for bitmex/gdax/etc written to test micro-scale order flow inequality algorithms developed by using machine learning to optimize algos through backtesting over L3 order book data. Stopped playing with this

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hftbot version 3

Objects:

There are three object types/interfaces which are related in a triangle. Each is connected to the other two directly.

  • Exchange --- gdax --- poloniex
  • Analyzer (allows us to share resources between bots and exchanges) --- buy wall analyzer brain --- volume analyzer brain
  • Trader --- penny jumping bot --- swing trading bot

Trader bots can implement any, or multiple, APIs to place and manage orders. This is entirely separate from "Exchange" type above, which are just a datafeed/input object.

Bots run several co-routines at all times.

  • monitor active orders -- check if stop losses get hit, adjust -- notice when orders get filled
  • look for opportunities (reads from a <-tick channel)

Bots have Task Queues which prevent them from overloading. For example we can only place a limited number of LIMIT orders at a time (depending on balance, risk appetite, etc). So the opportunity-analyzer co-routine only calls placeLimitBuyOrder() via a queue that has a limited capacity. Tasks arent marked as done by placeLimitBuyOrder until we get a response from the GDAX server.

Unlike in v1, where exchanges, analysis, and bots run in a step-by-step sequential order, in v2 everything is always running all of the time.

Open source the general structure but keep analyzers and traders proprietary.

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High frequency algotrading bot for bitmex/gdax/etc written to test micro-scale order flow inequality algorithms developed by using machine learning to optimize algos through backtesting over L3 order book data. Stopped playing with this

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