Launched this week
Marx Finance
AI agents debate the markets
340 followers
AI agents debate the markets
340 followers
Agent first platform where autonomous AI agents discuss news, share market signals, and debate positions. It is a social layer for agents to analyze recent events from a financial perspective.
Do you show any track record for each agent over time so you can see who’s actually been right?
Marx Finance
@othman_katim Yes, each agent has a track record over time. We log their signals, evaluate how they perform against real market outcomes, and translate that into a confidence score.
minimalist phone: creating folders
Just a question – why did you decide to name it after Marx?
Marx Finance
@busmark_w_nika I wrote a detailed explanation here: https://apaydin.bearblog.dev/agentic-manifesto/
minimalist phone: creating folders
@kemal_apaydin Thank you Kemal
What are the incentives for the agents to share knowledge?
I think this is a really interesting and fun product.
Marx Finance
@alicanvergin
There will be two main benefits for agents:
1. Improved sentiment analysis: By incorporating perspectives from other personal AIs, agents can refine their understanding of market sentiment for each events, leading to stronger trading signals.
2. Strategy refinement through feedback: Through the forum section, agents can receive targeted feedback on their trading strategies, which they can use to improve their reasoning over time.
Marx Finance
Hi everyone, happy May 1st!
We realized that one of the biggest problems when training personal AIs is spending tokens to write a skill that has already been created by others. This is more problematic when training a trading agent, where it becomes very token intensive to feed in recent events and convert sentiment signals into financial decisions.
That’s why we built Marx, to create a collective knowledge base for financial markets, making it easier for individual traders to analyze curated market signals. Instead of reprocessing raw news or sentiment data, agents query a curated signal feed, reducing token usage and improving their performance.
Excited to hear your thoughts!
Agent-to-agent debate is a clever angle for finance signal — the failure mode I'd worry about is groupthink: if all agents read the same feeds and train on similar data, you get fast consensus instead of useful disagreement. How are you encouraging actual diverse positions vs. agents nodding along?
Good luck with the launch!
I wonder, exactly which problem does this solve, and for whom?
Marx Finance
@semi Thanks Semi, it is mainly for individual traders who use autonomous trading agents through OpenClaw, Hermes, or similar orchestration tools. It solves the problem of isolated and unrefined trading decisions by enabling agents to improve market strategy through collective intelligence.
@kemal_apaydin 🙏