Skip to main content

Trade-Dangerous is a set of powerful trading tools for Elite Dangerous, organized around one of the most powerful trade run optimizers available.

Project description


TradeDangerous
Copyright (C) Oliver "kfsone" Smith, July 2014
Copyright (C) Bernd 'Gazelle' Gollesch 2016, 2017
Copyright (C) Jonathan 'eyeonus' Jones 2018 - 2021

REQUIRES PYTHON 3.4 OR HIGHER.


What is Trade Dangerous? Trade Dangerous Crest

TradeDangerous is a set of powerful trading tools for Elite Dangerous, organized around one of the most powerful trade run optimizers available.

The TRO is a heavy hitter that can calculate complex routes with multiple stops while taking into account the profits you make along the route

The price data in TradeDangerous is either manually entered or crowd sourced from a website such as Tromador's Trading Dangerously, often using a plugin such as the included eddblink.

What can it do for me?

You're in a ship with 8 cargo spaces that can make 8.56 ly per jump; you're willing to make upto 2 jumps between stations, and we want to see how much money we can make if in 2 trade stops (hops).

trade.py run --credits 5000 --capacity 8 --ly-per 8.56 --jumps 2 --hops 2

If we ran this, TD would search the galaxy for trade runs. But it could take us days to reach some of them. So lets say we're currently at Kummer City in the Andere system.

trade.py run --from "andere/kummer city"
    --credits 5000 --capacity 8 --ly-per 8.56 --jumps 2 --hops 2

(The above represents a single line)

That's a lot to type. TD is designed to support laziness when it comes to typing, so it allows for all kinds of short-cuts.

trade.py ru
    --fr and/kumm     find a station matching 'kumm' in a
                      system matching 'and'
    --cr 5k           'k', 'm' and 'b' are recognized suffixes
    --cap 8           8 units of cargo
    --ly 8.56         maximum distance *per jump*
    --ju 2            maximum 2 jumps

The default for hops is 2, so I didn't have to include it.

You can also use "=" to connect an option with its values:

trade.py ru --fr=and/kumm --cr=5k --cap=8 --ly=8.56 --ju=2

With the data at the time I write this, this produces:

ANDERE/Kummer City -> ANDERE/Malzberg Vision
  ANDERE/Kummer City: 6 x Titanium, 2 x Polymers,
  G 224-46/Lorrah Dock: 7 x Coltan, 1 x Lepidolite,
  ANDERE/Malzberg Vision +8,032cr (502/ton)

This tells us our overall route (line #1), what load to pick up from the first station, what to sell it for and pick up at the second stop and where to finish and unload for our final profit.

Note that it could have just told us to pick up 6 Titanium (the max we could afford) or 8 Copper (the highest profit we could fill up with), Instead, TD crunched hard numbers and maximized the earnings of every cargo space AND credit.

If you want to give Trade Dangerous a try, look no further than the Setup Guide and the User Guide.

Curious about programming with Trade Dangerous/Python? Take the Python Quick Peek.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tradedangerous-10.16.17.tar.gz (207.8 kB view details)

Uploaded Source

Built Distribution

tradedangerous-10.16.17-py3-none-any.whl (238.4 kB view details)

Uploaded Python 3

File details

Details for the file tradedangerous-10.16.17.tar.gz.

File metadata

  • Download URL: tradedangerous-10.16.17.tar.gz
  • Upload date:
  • Size: 207.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for tradedangerous-10.16.17.tar.gz
Algorithm Hash digest
SHA256 f979b967cbfad7793915483ac7cbd5dc123016e5918639eb9631408f6f38ae3b
MD5 2dc4db709931e347891194ef0d2b70b9
BLAKE2b-256 6468ccf1ddeb61ad8b6c7dff2cc0aac3f3d09452aaa892d09f8a7198d90d0e6c

See more details on using hashes here.

File details

Details for the file tradedangerous-10.16.17-py3-none-any.whl.

File metadata

File hashes

Hashes for tradedangerous-10.16.17-py3-none-any.whl
Algorithm Hash digest
SHA256 8a9abd12b8e6821d2cbe66a8cd95150f80bb3de5fda62a1d5f555f79f3b06db3
MD5 8952e0cf211c42ec64ba033409e98925
BLAKE2b-256 1176ea124941e3331f949106ebd910df36b18ca753bf7d5e28c5ccc4534e7eea

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page