imc-prospector 0.2.0

CLI submitter and algorithm validator for IMC Prosperity competition

imc-prospector

CLI submitter and algorithm validator package for IMC Prosperity competition.

imc-prospector combines a static analysis checker with a command-line submitter to validate and submit your IMC Prosperity trading algorithms.

Note: The CLI submitter is based on jmerle/imc-prosperity-3-submitter. Jmerle is an incredible resource for getting started in IMC algo development.

Features

• Static Analysis Checker: Validates your algorithm against IMC Prosperity requirements before submission
• CLI Submitter: Submit algorithms directly from the command line
• Configurable: Customize allowed imports and severity levels via YAML config

Installation

pip install imc-prospector

Quick Start

Check an Algorithm

# Basic check
imc-prospector check my_trader.py

# Strict mode (warnings as errors)
imc-prospector check my_trader.py --strict

# Use custom config file
imc-prospector check my_trader.py --config my_config.yaml

# JSON output for CI
imc-prospector check my_trader.py --json

# Hide info messages
imc-prospector check my_trader.py --no-info

# Don't prompt, just exit with code
imc-prospector check my_trader.py --no-prompt

Submit an Algorithm

# Submit with automatic checking (default)
imc-prospector submit my_trader.py

# Submit without running checker
imc-prospector submit my_trader.py --no-check

# Submit with custom config file
imc-prospector submit my_trader.py --config my_config.yaml

# Force submission even with errors/warnings (not recommended)
imc-prospector submit my_trader.py --force

# Specify output log file
imc-prospector submit my_trader.py --out logs/my_submission.log

# Don't download logs
imc-prospector submit my_trader.py --no-out

# Combine options: strict checking with custom config
imc-prospector submit my_trader.py --config custom.yaml --strict

What Gets Checked

The checker validates several aspects of your algorithm:

• Structure: Ensures Trader class exists with a run(self, state) method
• Imports: Verifies only official allowed libraries are used (pandas, numpy, statistics, math, typing, jsonpickle)
• Return: Confirms the method returns a 3-tuple (result, conversions, traderData)
• Timeouts: Detects infinite loops, time.sleep() calls, and deep nesting that could cause timeouts
• State: Warns about instance variables that won't persist (Lambda is stateless)

Configuration

Create .prosperity.yaml in your project root:

# Override severity levels
severity:
  E001: error      # Forbidden import
  W040: warning    # Instance vars warning
  I030: off        # Disable print warnings

# Add custom allowed imports
imports:
  scipy: warn      # Allow with warning
  my_utils: true   # Custom module

# Adjust limits
limits:
  timeout_ms: 900
  max_loop_depth: 3

Config Search Order

The checker searches for config files in this order:

1. --config argument (if provided via check or submit command)
2. .prosperity.yaml (current directory)
3. .prosperity.yml (current directory)
4. prosperity.yaml (current directory)
5. prosperity_config.yaml (current directory)
6. ~/.prosperity.yaml (home directory)

The first config file found is used, with values merged into the default configuration.

Note: You can use --config with both check and submit commands to override the config file.

See prosperity_config.yaml for all available options.

Submitting to Prosperity

First Time Setup

On first submission, you'll be prompted for your Prosperity ID token. This token is stored securely in your system's keyring.

How to get your token:

1. Open the Prosperity website in your browser
2. Press F12 to open developer tools
3. Go to Application (Chrome) or Storage (Firefox) tab
4. Click on Local Storage → select the Prosperity website
5. Find the key: CognitoIdentityServiceProvider.<some id>.<email>.idToken
6. Copy the token value

The token is stored securely and you'll only need to update it when it expires.

Submission Process

1. Check (optional, runs by default): Validates your algorithm
   • Errors block submission by default (use --force to bypass)
   • Warnings prompt for confirmation (use --force to skip prompt)
2. Submit: Uploads to Prosperity API
3. Monitor: Watches submission status
4. Download: Saves logs to submissions/<timestamp>.log (unless --no-out)

Submission Options

Option	Description
--no-check	Skip running the checker before submission
--config, -c	Use a custom YAML config file for the checker
--strict	Treat checker warnings as errors
--force	Force submission even if checker finds errors/warnings (not recommended)
--out, -o	Specify output log file path
--no-out	Don't download submission logs

Handling Errors and Warnings

When submitting, the checker runs automatically. By default:

• Errors block submission. Use --force to bypass (not recommended).
• Warnings prompt for confirmation. Use --force to skip the prompt.

Example when errors are found:

$ imc-prospector submit my_trader.py
Running algorithm checker...
Checker found 2 error(s) and 1 warning(s):
  [E001]:5 Forbidden import: 'os'
  [E033]:45 run() returns only a dict, must return 3-tuple
  [W040]:10 Instance vars {'position'} may not persist

Submission aborted due to errors. Fix issues and try again.
   Use --force to bypass errors (not recommended).

Error Codes

Code	Severity	Description
E001	Error	Forbidden/unsupported import
E002	Error	Missing datamodel import
E003	Error	Missing Trader class
E004	Error	Missing run method
E010	Error	Invalid run() signature
E020	Error	Infinite loop detected
E021	Error	time.sleep() detected
E030	Error	Missing return statement
E031	Error	Returns None
E032	Error	Wrong return tuple size
E033	Error	Returns dict instead of tuple
W020	Warning	Risky while True loop
W021	Warning	Loop variable not modified
W022	Warning	Deep loop nesting
W030	Warning	Can't verify return tuple
W040	Warning	Instance variables won't persist

Example Output

============================================================
  IMC Prosperity Checker: my_trader.py
============================================================

ERRORS (2):
----------------------------------------
  [E001]:2 Forbidden import: 'os'
   Remove 'import os'. Official allowed: pandas, numpy, statistics, math, typing, jsonpickle

  [E033]:45 run() returns only a dict, must return 3-tuple
   return result, conversions, traderData

============================================================
Official requirements:
  • Imports: pandas, numpy, statistics, math, typing, jsonpickle
  • Return: (result, conversions, traderData)
  • Timeout: <900ms per run() call
============================================================

Minimal Valid Trader

from datamodel import OrderDepth, TradingState, Order
from typing import List

class Trader:
    
    def run(self, state: TradingState):
        result = {}
        
        for product in state.order_depths:
            orders: List[Order] = []
            # Your trading logic here
            result[product] = orders
        
        traderData = ""  # Use jsonpickle to persist state
        conversions = 0
        
        return result, conversions, traderData

Development

# Clone the repository
git clone https://github.com/arJ-V/imc-prospector.git
cd imc-prospector

# Install in development mode
pip install -e ".[dev]"

# Run linter
ruff check imcprospector/

# Run type checker
mypy imcprospector/

License

MIT

Acknowledgments

Built on top of the submitter structure from imc-prosperity-3-submitter. Uses the same API endpoint as the official Prosperity platform.