Tantoryn AI has finished a research effort covering two jobs inside the system: finding potential trading candidates in the market, and independently judging how promising each one is before it reaches risk controls. Every stage was reviewed before the next began.
Each approach was tested under our usual discipline: training only sees the past, success criteria were locked in before results appeared, and someone who didn't build it checked the underlying evidence, not just a summary. Some ideas didn't hold up — those results stayed on record.
The outcome is a short, evidence-backed shortlist for each job, carried into full development, plus a confirmed direction for how the system searches for new setups on its own. What didn't qualify isn't ruled out for good — a few outside methods were flagged for future comparison.
None of this proves profitability or approves anything for Production: real-money trading stays off, and today's runtime is unchanged. It sets the terms for what's next — a disciplined new training programme is now underway.