Need help with trading-server?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

320 Stars 72 Forks GNU General Public License v3.0 522 Commits 2 Opened issues


A multi-asset, multi-strategy, event-driven trade execution and management platform for running many algorithms/bots at many venues simultaneously with unified risk management and reporting. Uses MongoDB for storage and Telegram for user notifications/trade consent.

Services available


Need anything else?

Contributors list

No Data


A multi-asset, multi-strategy, event-driven trade execution and management platform for running many algorithms/bots at many venues simultaneously, with unified risk management and reporting.

This is not a standalone trading bot. You need to install and run this on a server or VPS using your own trading algorithms.


Using python 3.9

  1. Install mongodb (
  2. Install TA-Lib python bindings (links to wheels here and binaries (
  3. Set up a telegram bot, record the bot key in enviroment variable TELEGRAMBOTTOKEN.
  4. Create a whitelist for telegram account ID's you want to have control of the server, recorded in environment variable TELEGRAMBOTWHITELIST, eg [, ]
  5. Set up accounts for all venues you will trade at, recording API keys and secret keys in environment variables APIKEY and APISECRET
  6. Configure what venues, instruments, models and timeframes you want to trade in and
  7. Install dependencies in requirments.txt
  8. Run the server with python Note it will take some time to fetch historical data for the instruments you are trading.

Current features

Trade any API-accessible market with unified multi-strategy portfolio management, autonomously or semi-autonomously.

Allocation-based risk management (allocate x% of capital to specific strategies with y% exposure per strategy).

Porfolio performance metrics and tracking. Tracks the following:

Feature library - assemble new strategies quickly from existing features.

Trade consent via Telegram (or write your own messaging client). Accept, veto or tweak trade setups before they are actioned.

WIP features

Account multicasting - trade as many accounts on as many platforms as desired.

UI - web dashboard for portfolio stats and individual trade metrics

Integration with Backtrader

Blockchain-based strategy auditing - publish trade signals to IPFS and Ethereum/BSC to empirically prove win rate over time

Accounting and compliance reporting

Venue support


Integration status Instrument types
Complete Crypto derivatives
In progress Crypto spot, options & derivatives
Planned Crypto spot & derivatives
IG Markets Planned FX, equity, commodity & index CFD's
Interactive Brokers Planned FX, equity, commodity & index CFD's
Deribit Planned Crypto derivatives & options

Market data

1 minute resolution OHLCV bars for all watched instruments are stored with MongoDB.

This software works with 1 minute and above resolution strategies. Tick-resolution support planned later. With this in mind, the software converts tick data to 1 min bars where live tick data is available, but doesn't store ticks locally (i.e. it handles tick data but doesnt use it as is, yet).

Strategy modellling

Individual strategy implementations are not included. A simple moving average cross model is included as an example only. Custom strategy implementations, collaboration or any other enquiries please email me at [email protected]


Feature requests and discussion regarding new features are very welcome, please reach out.

External libraries


Backtrader -


Based on architecture described by Michael Halls-Moore at (qsTrader), and written works by E. Chan and M. Lopez de Prado. Thanks all.



We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.