Built by traders.
Powered by AI.
Alphora Signals exists because the most valuable market intelligence — structured, scored, and delivered before the opening bell — has always been reserved for institutional desks. We built the platform that changes that.
Why we built Alphora Signals
The problem is not access to financial data. Retail traders have more data available today than institutional traders had a decade ago. The problem is signal-to-noise ratio, interpretation speed, and the format in which that data arrives.
Most financial news is written to generate clicks, not to inform trading decisions. Most market data platforms require hours of analysis before they yield actionable context. And most AI tools in finance either oversimplify — generic summaries with no conviction — or overclaim, fabricating directional certainty that the underlying data does not support.
None of them deliver what a serious self-directed trader needs at 6:45 AM: a clear-eyed, scored assessment of the three to ten things most likely to move markets that session, with honest confidence levels and concise explanations of why each signal matters.
Alphora Signals was built to solve exactly that. We aggregate across 200+ financial sources — earnings reports, central bank statements, on-chain blockchain data, options flow, macro releases — and run every candidate event through a multi-factor scoring model. The result is a directional bias, a confidence score, and a concise explanation of why it matters. Every weekday at 7:00 AM ET.
How we approach market intelligence
Transparency over confidence theater
Every signal carries a confidence score, and we explain exactly what that score measures. A 62% signal is published as a 62% signal — not polished into false conviction. When evidence is mixed, we say so.
Scored by evidence, not by authority
We don't weight signals higher because a prominent analyst said them or a blue-chip outlet ran the story. Source agreement, historical pattern match, and pre-market confirmation determine every score.
Honest scope of claims
Alphora Signals provides directional context for the next trading session — not price targets, not portfolio recommendations, not long-term predictions. We publish what our model is actually capable of producing.
No noise tolerance
Our ranking model is designed to filter aggressively. If an event is unlikely to produce a meaningful same-session price impact, it doesn't make the brief. We would rather send four strong signals than ten marginal ones.
Delivery discipline
The brief arrives at 7:00 AM ET every weekday, without exception. We believe predictable delivery is a form of respect for your time and your pre-market routine.
Your decisions, your responsibility
We are a market intelligence tool, not a trading advisor. Nothing in Alphora Signals constitutes a recommendation to buy, sell, or hold any security. We exist to inform, not to instruct.
What we cover
US Equities
NYSE and NASDAQ — earnings reports, guidance revisions, insider filings, analyst rating changes, and sector-level macro events affecting large-cap positions.
Cryptocurrency
Bitcoin, Ethereum, and top altcoins by market cap and trading volume. Signals incorporate on-chain flow data (ETF inflows/outflows, exchange reserves, large wallet movements) alongside price action and macro context.
Macro Events
Federal Reserve statements, CPI, NFP, PMI, and other scheduled government data releases that produce measurable cross-asset price impacts.
Commodities
Oil (WTI, Brent), gold, and other commodity markets when supply/demand events drive material equity or crypto correlations.
Pro and Trader plans also include international market movers that affect US-listed stocks and crypto markets. See our full methodology →
Who builds Alphora Signals
Alphora Signals is built and maintained by a team with backgrounds in quantitative finance, machine learning, and software engineering. We are active market participants ourselves — every feature, every scoring weight, every delivery window was designed by people who use the product before their own sessions.
The scoring model is continuously evaluated against realized intraday price moves. We do not publish a rolling accuracy rate because cherry-picked accuracy statistics are misleading — instead, we publish per-signal confidence scores so you can apply your own judgment about when to weight our signals heavily and when to treat them as background context.
We are a small, independent team — not a venture-backed firm with an incentive to grow subscriber counts at the expense of signal quality. Our business model is straightforward: we charge a subscription and we earn it by making the brief genuinely useful every day.
Get in touch
Support
support@alphorasignals.comSubscription questions, billing, account access, and technical issues.