ASCEND - The analyst's desk for self-directed investors
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Ascend authors a living thesis for every stock you follow — and names the falsifiable criteria that would change its mind. Those criteria auto-resolve against earnings and news, so a thesis visibly holds or breaks over time. You get a 7am AI audio brief, deep reports, alerts when a thesis cracks, and an analyst you can ask anything. And we grade every call in public — including where we were wrong. Research, not advice.

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How does ASCEND decide what counts as a thesis "cracking" vs just normal volatility, and can I tweak those thresholds per position or is it one-size-fits-all?
@saniye857589 Great question — it's the core design call. Ascend doesn't use price or a volatility band to decide a thesis is cracking. When a thesis is set up, it names the specific, falsifiable conditions it rests on — e.g. "gross margin stays ≥75%" or "sub-growth ≥20% YoY for 3 straight quarters" — and it only breaks when one of those actually fails against an earnings print, filing, or news item. A noisy 8% down day doesn't touch it; a margin print below your floor does.
And it's per-position, not one-size-fits-all. Ascend drafts a starting set of criteria from the research, then you edit, add, or remove them (or refine them in Threads) — so the thresholds are yours, name by name. It's your reasoning, tracked.
The public grading of every call is a gutsy and genuinely useful choice. It builds the kind of trust most research products skip.
@dloker20536 Thank you — genuinely. It was the scariest part to ship. A research product that only shows its wins isn't one you can trust, so the scorecard's public and permanent, misses and all. Hold us to it.