We’ve developed the first predictive trading platform designed to democratize access to insider-level intelligence, enabling everyday investors to operate with the strategic advantage typically reserved for institutional players.Learn more about our funding approach ->

• Funding

Our system reduces trading risk by surfacing potential insider-driven activity in real time thereby leveling the informational playing field for retail participants.Learn more about our retail platform ->

• 401ai

At the core of the platform is the Bimini Road AI engine, which detects ghost patterns; statistical anomalies within live market data that indicate the presence of informed trading. These patterns provide a unique lens into real-time market behavior often associated with material non-public information.Learn more about our technology ->

• White Paper

Predictions

Our AI model is designed to identify "ghost patterns" embedded within live market data - subtle, often overlooked signals that precede significant price movements. To validate the model’s predictive capability, we have systematically documented and timestamped its forecasts, creating a verifiable track record of signal efficacy.

Predictions

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.

• See PREDICTIONS Report

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.

• See BACKTESTING Report

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....

• Read More About VALIDATION FUNDS

About Us

Bimini Road is an Atlanta based quantitative trading and AI development firm that builds tools to better understand the public markets. Our focus is on developing negative latency systems to predict the future of market direction.

What We Do

We’ve developed the first predictive trading platform designed to democratize access to insider-level intelligence, enabling everyday investors to operate with the strategic advantage typically reserved for institutional players.Our system reduces trading risk by surfacing potential insider-driven activity in real time—leveling the informational playing field for retail participants.At the core of the platform is the Bimini Road AI engine, which detects ghost patterns—statistical anomalies within live market data that indicate the presence of informed trading. These patterns provide a unique lens into real-time market behavior often associated with material non-public information.Our investing strategy take advantage of our tactical and strategic predictive models.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.By using both models we can further reduce risk by allocating long term capital while taking advantage of short term trends during intraday trading. Our strategy is both orthogonal (non correlative) and bi-modal.

Orthogonal Investing

Orthogonal trading refers to strategies designed to deliver returns that are statistically uncorrelated—or only minimally correlated—with broader market indices and conventional asset classes. Our approach is driven by a proprietary predictive signal that exhibits non-linear, non-recurring patterns in both timing and asset selection. As a result, the strategy's return profile should not be expected to demonstrate meaningful correlation with traditional market benchmarks.

Bi-Modal Strategy

Our trading framework integrates a dual-layered risk management architecture. The AI system is capable of identifying anomalous trading patterns—referred to as “ghosts”—that may signal underlying market inefficiencies or in our case non-public information trading. These signals are categorized by velocity: slow-moving ghosts are observed over multi-day to multi-week horizons, while fast-moving ghosts are detected and responded to in real time, within seconds or minutes. This structure enables dynamic risk calibration across varying time horizons.

Make Contact

Do you want to be part of a global ‘upgrade’ in how people invest their money? Contact us for more information.