Priorsum vs. Unusual Whales vs. Trade Ideas: data, signals, or an agent that trades and learns?
“Which one should I use?” is the wrong question, because Unusual Whales, Trade Ideas, and Priorsum aren’t really competing for the same job. One shows you the market. One scans it and hands you ideas. One trades it for you and gets better over time. Here’s the honest breakdown, including where each one wins.
The one-paragraph version
Unusual Whales is a market-intelligence terminal: real-time options flow, dark-pool prints, congressional trades, and gamma exposure. It’s brilliant at answering “what is institutional money doing right now?”, then you go trade that somewhere else. Trade Ideas narrows the firehose: its Holly AI scans hundreds of data points and produces concrete entries and exits, and can even route orders to your broker. Priorsum closes the loop entirely, you configure a strategy once and it scans, decides, submits orders (in-house paper), manages the position, and learns from every closed trade, with no human in the loop after setup.
How they score, side by side
Relative strengths across the dimensions that actually separate them:
Read that chart honestly and the trade-off is obvious. Priorsum leads on automation, learning, guardrails, and explainability, because it’s the only one whose whole job is to run the account. Unusual Whales dominates data breadth, because surfacing institutional and political signal is its whole job, and it’s signal Priorsum doesn’t ingest at all.
Full feature comparison
| Capability | PriorsumAutonomous agent | Unusual WhalesData terminal | Trade IdeasAI scanner |
|---|---|---|---|
| What it fundamentally is | Autonomous trading agent | Market-data terminal | AI scanner + signals |
| Who does the trading | The system, hands-off | You, elsewhere | You (or auto-trigger) |
| Automated order execution | ✓in-house paper broker | ✗read-only | ◐via Brokerage+ to your broker |
| Learns / adapts from your outcomes | ✓fast + slow learning loops | ✗ | ◐nightly re-simulated scans |
| AI signal generation | ✓AutoML win/exit models + Acorn | ✗ | ✓Holly AI |
| Options-flow data | ✗equities only | ✓every options trade, live | ◐options screener |
| Dark-pool prints | ✗ | ✓per-print, w/ NBBO | ✗ |
| Congress / politician trades | ✗ | ✓full tracker | ✗ |
| Gamma exposure (GEX/DEX) | ✗ | ✓ | ✗ |
| Equity scanning | ✓volume/momentum/ATR scanner | ✓stock screener | ✓500+ data points |
| Backtesting / replay | ✓deterministic, fidelity-checked | ◐historical flow | ✓nightly backtests |
| Hard risk guardrails | ✓position/exposure/daily-loss/stops | ✗ | ◐your rules |
| Per-decision explainability | ✓full attribution spine | ◐raw data trail | ◐alert reasons |
| Asset class | US equities | Options, equities, ETFs | US equities |
| Money at risk | Paper (models real mechanics) | Your real broker | Your real broker |
| Broker account required | ✗self-contained | ✓to act on it | ✓to auto-trade |
| Public developer API | ✗internal only | ✓REST + WebSocket | ◐ |
| Pricing model | In-house / invite | SaaS, ~$50/mo+ tiers | $118–$228/mo |
Unusual Whales, where it wins
Everything Priorsum can’t see. Options flow tagged as sweeps, blocks, and golden sweeps; dark-pool prints with the national best bid/offer at execution; a congressional-trade tracker you can filter by member, party, or sector; dealer gamma (GEX/DEX/Vanna) across strikes; stock and options screeners; and a public REST + WebSocket API. If your edge is reading the tape and the disclosures yourself, this is the category leader. It just doesn’t place a single order, you are the decision engine, and you execute at your own broker.
Trade Ideas, the AI middle ground
Trade Ideas sits between the two. Its Holly AI (Grail / 2.0 / Neo variants) generates trade ideas with specific entries, exits, and sizing from 500+ scan data points, and re-simulates its scans nightly against past data. Via Brokerage+ it can route those signals straight to Interactive Brokers, E*TRADE, or TradeStation, so it’s “automated” in a way Unusual Whales isn’t. But it isn’t a broker, it doesn’t manage a full account with hard portfolio-level risk limits, and its adaptation is scan re-tuning, not a per-trade feedback loop tied to your realized outcomes. Plans run about $118/mo, with Holly AI and auto-trading on the ~$228/mo premium tier.
Priorsum, where it wins
Priorsum is the only one of the three that owns the entire loop. Two learning systems run in parallel: a fast loop that nudges signal weights after every closed trade, and a slow loop that mutates strategy parameters once a batch of trades is statistically meaningful. On top sit AutoML overlays (a win-probability model on entries, an exit-timing model) that only act once they clear an out-of-sample skill gate, so the system never trades on phantom edge. And it’s safe by construction: position size, total exposure, daily-loss, and stop-losses are hard floors that neither the learning loops nor any LLM can move. Every decision is fully attributed, you can trace any outcome back to the exact strategy, parameters, and market conditions that produced it.
The honest limitations: Priorsum trades US equities only and runs an in-house paper account that models real-money mechanics end-to-end (no options, no dark-pool or congressional signal, no live-broker path). It’s built to prove and refine an autonomous strategy with real market data and real risk discipline, not to replace a flow terminal.
So which one?
They’re complementary, not competitive. Want to read institutional and political order flow and make the calls yourself? Unusual Whales. Want an AI to hand you scanned setups you can optionally auto-route to your broker? Trade Ideas. Want a system that runs the account for you, deciding, trading, and measurably improving from its own results, behind hard risk rails? That’s Priorsum.