Topics / #risk-management

Risk-management projects on GitHub

Quantifying and controlling financial and trading risk exposure.

As of October 17, 2026, the most-starred Risk-management projects on GitHub are iFixAi (28.9K stars), gs-quant (13.2K stars) and astra-quant-agent (379 stars). GitHub.Locker tracks 7 Risk-management repositories with 43.2K stars combined. The fastest-growing on October 16 was iFixAi, with +458 stars in a day.

7Projects

43.2KStars in total

+477Stars in a day

Browse in the catalog →github.com/topics/risk-management ↗

Hot right now

Most stars gained in a day · Oct 16

+458

iFixAi

ifixai-ai/iFixAi · ★ 28.9K

iFixAi is an independent auditing tool for AI agents: it runs a diagnostic suite against your agent and answers the core question — is the agent doing the job it is supposed to do — with an A-F grade in under 120 seconds.

+12

gs-quant

goldmansachs/gs-quant · ★ 13.2K

GS Quant is a Python toolkit for quantitative finance built by Goldman Sachs quants on top of their risk transfer platform, used for derivative structuring, trading strategy development, and risk management.

bytex

BYTEX-TRADE/bytex · ★ 212

BYTEX is an open-source, event-driven algorithmic trading engine for .NET written in C#. You write a trading strategy once and run the exact same code unchanged against historical data (backtest), live data with simulated fills (sandbox/paper), or real exchange accounts (live), with fixed-point money and adapters for major crypto exchanges.

astra-quant-agent

0xethanq/astra-quant-agent · ★ 379

R20 Quantum Trading System is an autonomous crypto trading agent that uses a committee of multiple LLMs (Claude, GPT-4o, DeepSeek, Gemini, etc.) to analyze the market and propose trades, while a separate deterministic Python layer enforces hard risk rules and executes orders on OKX.

The all-time top

7 projects · by stars

#1 · ifixai-ai/iFixAi
iFixAi
iFixAi is an independent auditing tool for AI agents: it runs a diagnostic suite against your agent and answers the core question — is the agent doing the job it is supposed to do — with an A-F grade in under 120 seconds.
28.9K
#2 · goldmansachs/gs-quant
gs-quant
GS Quant is a Python toolkit for quantitative finance built by Goldman Sachs quants on top of their risk transfer platform, used for derivative structuring, trading strategy development, and risk management.
13.2K
#3 · 0xethanq/astra-quant-agent
astra-quant-agent
R20 Quantum Trading System is an autonomous crypto trading agent that uses a committee of multiple LLMs (Claude, GPT-4o, DeepSeek, Gemini, etc.) to analyze the market and propose trades, while a separate deterministic Python layer enforces hard risk rules and executes orders on OKX.
379

4
deepseek-harness-quant
248yuanwang589-dev/deepseek-harness-quant · Python
A natural-language-driven, low-frequency quantitative trading decision system for China's A-share market. It combines a subjective Pitch decision chain, a hardcoded factor engine, and strict data-based arbitration, with the AI forbidden from predicting individual stock moves.
5
bytex
212BYTEX-TRADE/bytex · C#
BYTEX is an open-source, event-driven algorithmic trading engine for .NET written in C#. You write a trading strategy once and run the exact same code unchanged against historical data (backtest), live data with simulated fills (sandbox/paper), or real exchange accounts (live), with fixed-point money and adapters for major crypto exchanges.
6
pons-sniper-bot
1640xhamssog/pons-sniper-bot · TypeScript
A TypeScript CLI that watches the pons.family v2 token factory on Robinhood Chain, filters new launches, quotes the bonding curve, and can snipe-buy tokens with dry-run or live execution; it also bundles its own Pons v2 launch-and-buy tooling.
7
transition-state-zero-trust-toolkit
114theycallmehassan1/transition-state-zero-trust-toolkit
A set of open, vendor-neutral worksheets, checklists, test records and pilot artifacts for governing the messy middle period of a zero trust migration, built to complement NIST SP 1800-35.