Multi Baggers – Raja-Krishna

NEXT BAGGER GPT

Institutional-grade Multi-Baggers Foresight via Baum_Welch and GPT.

SAFE

BULLISH

DISCOVERY

Industry Field

Select

Equity name

DeepSeek insights

FAQs

What is Next Bagger GPT?

Next Bagger GPT is an advanced AI system that identifies potential multibagger stocks by combining Baum-Welch probabilistic modeling (commonly used in Hidden Markov Models) with natural language inference via GPT. It decodes complex signals to highlight equities with long-term, asymmetric return potential.

How does it predict multibaggers?

The engine models state transitions in financial behavior using Baum-Welch algorithms, tracking shifts in institutional interest, momentum clusters, and price-volume cycles. These patterns are then interpreted by GPT-4 Turbo, which contextualizes them with news sentiment, trigger events, and probabilistic foresight—surfacing candidates before broader market consensus forms.

What do the filters mean?

Market Cap: Narrow results to micro-cap, small-cap, mid-cap, or large-cap segments.
Industry Field: Sector-specific focus (e.g., Pharma, IT, Energy).
AI Triggers: Internal flags based on abnormal trends, insider activity, or behavioral signals.
News Strike: Recent newsworthy events influencing attention, momentum, or sentiment.
Days: Lookback window for signal accumulation and model convergence.

What does “SAFE 20” mean?

It represents a default pre-filtered safety score threshold applied by the model—highlighting only those stocks that passed minimum confidence and liquidity filters within the last 20 trading sessions.

Why are there no results sometimes?

Multibaggers are rare by nature. If no stocks meet the model's combined confidence, trigger thresholds, and safety scores within the selected filter set, it shows “No results” to avoid noise or false positives.

Is this a recommendation engine?

No. Next Bagger GPT is a quant-augmented discovery tool, not a buy/sell recommender. It surfaces data-backed leads for further diligence, not investment advice.

Who is it built for?

Designed for buy-side analysts, quant researchers, wealth advisors, and serious retail investors seeking AI-assisted discovery beyond basic screeners.