A Trading Bot provided with two very flexible Market Making strategies. Works on "vanilla" BitShares and all exchanges built upon it. Can be customized with additional strategies written in Python3.
DEXBot was paid for by the BitShares blockchain (by means of a Worker Proposal), and managed by "The Cabinet", consisting of 6 active BitShares community members. All spending was controlled by an account which requires 3/5 approvals (multisig scheme).
DEXBot can be installed from source or by using the excecutable packages for Windows, OSX, and Linux. Packages include the GUI version, but installation from source provides also the CLI version, which can be used on headless servers and Raspberry Pi's.
The provided strategies can be used to bootstrap new markets, to increase liquidity of an asset, or to try to make profits. The Relative Orders strategy is the one most think of when speaking of Market Making. In most markets it requires tweaking and active monitoring, and is most suitable for sideways markets or Arbitrage Enabling markets (between stable or otherwise equivalent assets). Staggered Orders is a "set and forget" strategy, which thrives in uncertain conditions (before price discovery or otherwise volatile conditions). It requires a long time to realize profits, but is likely to do so if it isn't touched in the mean time. It requires little monitoring and no tweaking. New markets and assets should be bootstrapped with Staggered Orders and later improved with Relative Orders.
Make sure to read strategy documentation from the wiki. Here is a step-by-step guide to get started
If you properly predict future market conditions, you can manage to make profit. All strategies rely on assumptions. The strategies that rely on less assumptions are less risky, and more risky strategies can make more profit. During long declines the effect is decreased losses - not actual profits. So we can only say that it can make profit, without forgetting that it can also make losses. Good luck.
Join the Telegram Chat for DEXBot.
See instructions in the Wiki for Linux, Windows, OSX. Raspberry Pi. Other users can try downloading the package or following the Linux guide.
master:
Warning: This is highly experimental code! Use at your OWN risk!
Install the software, use it and report any problems by creating a ticket.
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