I am building an AI trading system called Tradie. It is still Futures Testnet / paper-only. No live money. The idea is to build a trading desk workflow, not just a signal generator. Current paper stats:
- Start: $1000
- Current balance: $1045.37
- Closed trades: 16
- W/L/BE: 9 / 6 / 1
- Win rate: 56.2%
- Total paper P/L: +$45.37
- Max drawdown: $3.55
- Open trades: 0
- Live-readiness score: 85/100 The system uses ICT-style conditions: liquidity sweeps, displacement, premium/discount, session timing, HTF context, FVG logic, invalidation, and predefined targets. The architecture has a few layers: Scanner Looks for conditional setups across selected Binance futures markets. Paper trader Executes only in testnet/paper mode and journals every trade. Risk layer Blocks oversized or low-quality trades. Execution reconciliation Checks whether testnet positions match expected size, entry, and state. Multi-agent desk Market data, structure, risk, execution, trade manager, journal/learning, funding/OI, HTF liquidity, and confidence committee. Shadow research New setup models are tested in shadow mode first. They can log hypothetical candidates, but they cannot execute. The most important design choice has been giving the system permission to do nothing. Most demos look better when the bot always has a signal. In practice, that is exactly what I do not want. A useful trading agent should reject weak setups, survive boring markets, and keep a clean audit trail. Current state: flat, no open paper trade. The system is waiting for a clean sweep/displacement or aligned breakout. Next milestone: 30 clean closed paper trades before I even consider live discussion. Not financial advice. This is an engineering and research project. submitted by /u/Known-Delay-9689
Originally posted by u/Known-Delay-9689 on r/ArtificialInteligence
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