๐ ยฅ5,140 profit on a ยฅ100,000 paper account | 66.67% win rate | 8 trades executed โ fully driven by an 8-agent AI trading team (no humans involved)
I built a multi-agent trading system using
@ClawithHQ / Clawith and gave a single instruction:
โAnalyze todayโs gold market and execute trading decisions.โ
From there, 8 specialized AI agents collaborated autonomously across the full trading lifecycle:
โข Market Research Agent โ gathers macro data, price action, and sentiment signals
โข Data Aggregation Agent โ structures and consolidates incoming market inputs
โข Technical Analysis Agent โ evaluates indicators, trends, and chart patterns
โข Fundamental Agent โ interprets macro drivers (USD strength, rates, inflation)
โข Risk Management Agent โ defines position sizing, stop-loss, and exposure rules
โข Strategy Agent โ decides whether to enter, hold, or stay out
โข Execution Agent โ places and manages trades in real time
โข Performance Agent โ reviews outcomes and feeds insights back into memory
The result: a coordinated AI trading desk operating with memory, role specialization, and continuous feedback loopsโnot just isolated chatbots.
๐ Result: 8 trades | 66.67% win rate | ยฅ5,140 profit (ยฅ100,000 paper account)
This is what Clawith enables: autonomous AI agents that collaborate like real teams.
Thatโs why Iโm joining the Vibe Company Challenge.
๐ฐ Up to $725 funding | ๐ Tens of thousands in prizes | ๐ฐ $11,000 bonus pool
Try it now:
cloud.clawith.ai/events/vibeโฆ
#Clawith #VibeCompany #AIAgents