Predictions
We find "ghost patterns" in the market.
A ghost pattern indicates trading activity based on non-public information.
Forward Testing
Our forecasting methodology involves real-time chart analysis to detect the emergence of a ghost pattern, which we then publicly timestamp via a post on X.com, creating an immutable audit trail of the initial signal.
Upon the occurrence of a relevant market-moving event, we issue a follow-up post that references and correlates the event to the original signal, thereby establishing a documented predictive link between the two.
Given the inherent unpredictability of both insider-driven activity and the timing of exogenous events, we do not attempt to forecast specific timelines. Instead, we focus on identifying high-probability securities based on a combination of our signal detection and contextual macro or geopolitical developments.
Backtesting
In an effort to rigorously validate the ghost pattern hypothesis, we initiated a structured, four-phase due diligence process designed to substantiate our thesis: that these signals reflect trading activity potentially driven by material non-public information or advanced awareness of market-moving events.
We commenced with a documented series of backtests, during which our system consistently identified ghost patterns in securities that were subsequently impacted by major global events, prior to those events becoming public. The results of these tests were published to our X.com account and are also available for review here.
Structured Funds
Structured Micro Fund Trading
We launched a pilot fund with an initial capital allocation to begin live trading in the Micro E-mini Nasdaq futures contract, utilizing our newly developed tactical ghost pattern trading system. This tactical model is an evolution of our original strategic ghost pattern framework, which identified directional signals based on longer-term accumulation patterns—often spanning 30 to 50 days before generating a conviction-level prediction.
In contrast, the tactical system operates on a granular, minute-level chart and is designed to detect short-duration, high-frequency ghost patterns—signals that may only persist for seconds—allowing for precise intra-day execution and potential alpha capture on compressed timeframes.
Our objective in this phase is to conduct a documented live trading test of the tactical engine and analyze its real-time performance. Upon completion, we will proceed to Phase IV: capitalizing a fund 10x larger to trade the full-sized E-mini Nasdaq futures contract, which carries 10x the notional exposure of the Micro contract. This stage will enable us to conduct a more extended test, further validate the model, and generate a detailed performance record.
As part of this scaling initiative, we plan to open the fund to external investors and will engage an independent third-party auditor to review and certify our financial results.
Structured Mini Fund Trading
Currently In Progress....