01 What Was Called
AAPL SELL · $343.50
The July 29 recording shows the live tape and $343.50 sell annotation. The underlying signal also stated a $333 price target.
03 Watch Live-Tape Video ↗AI-powered trading signals backed by quantitative research, public timestamps and documented market outcomes.
Trace one July 29 Apple call through its original X post and live tape to the July 31 outcome. Then explore the broader documented record.
Jul 29 call → X 15:10 WEST → Jul 29 live tape → Jul 31 low $300 → later recap
AAPL · QTS RPOS sell · price target $333 · selected example
The July 29 recording shows the live tape and $343.50 sell annotation. The underlying signal also stated a $333 price target.
03 Watch Live-Tape Video ↗14:10 UTC · 35,000 AAPL shares sold at $343.50.
Open Exact X Post ↗Two trading sessions later · intraday low.
The later video discusses the result. The July 29 recording and X post provide the pre-outcome evidence.
A trading signal can open a deeper research record: rationale, metrics, price context and updates.
The action states the market view. It is the entry point into the research, not the whole product.
Signal Rationale: research thesis · Action Rationale: response and management logic · AI-Recommended Action: current model suggestion
Price framework · targets and scenarios · invalidation · position or scaling context
Performance Metrics: quantitative history · confidence · analytics/charts · updates · model context
Explanatory framework · Fields vary by signal and context. No single record is represented here.
Move from seeing a call to understanding the research framework and applying it to market cases.
Action, rationale, price framework and Performance Metrics reveal the structure around a call.
Documentation and analytics show how to interpret the model and its evidence.
Historical cases connect the original call, its research and what followed.
The current AI Expert retrieves and explains existing research and signals. Future stateful Strategist capabilities are in development.
Built on decades of market experience and systematic research.
Model-generated market intelligence and trading signals that respond to market data.
Research includes risk scenarios and invalidation levels to help users evaluate model outputs.
Paid signals include rationale, performance metrics, and supporting analytics where available.
Continuously updated AI insights across global markets and asset classes.
Research retrieval and explanation can reflect your questions without changing global signals to suit your finances.
See when selected historical calls were published. Explore the research, then check what happened next.
Explore trading signals, quantitative stock analysis, AI Expert explanations and QMI model portfolio research in one connected system.
The live AI Expert explains published research. A stateful AI Trading Strategist is planned.
Generates market-driven research and signal parameters; it does not place broker orders.
Rotates the shared model portfolio's constituents and weights as research and market conditions change; it does not rebalance your brokerage account.
Displays signal context alongside market charts for your independent review.
Documented historical signal outcomes
100%Original calls, public timestamps and subsequent market outcomes make the historical record inspectable. The Apple $343.50 sell call is one documented example.
Original call
AAPL SELL at $343.50 on July 29, 2026; X timestamp 15:10 WEST, with original live-tape recording.
Subsequent outcome
Apple traded as low as $300 intraday on July 31. The later recap is identified separately from the original recording.
* A Winning Signal means a minimum 1% favorable market move in the indicated direction under the applicable signal framework. This is a classification floor, not a typical or expected return. The historical claim concerns signal outcomes, not customer trades, realized P&L or future performance. Open or unresolved calls are not counted as wins.
* Historical model signal outcomes: at least a 1% favorable move while valid. Not a typical return or customer P&L. How winning signals are classified.
Selected live-call recordings and public timestamps let you compare calls with later outcomes. Recorded customers describe their own experience.
The July 29 AAPL sell call at $343.50 preceded the July 31 intraday low of $300. Inspect the evidence →
Jason describes checking the dated calls for himself. Watch interview →
C. Collaro shares an individual historical experience, not a typical customer result. Watch interview →