The home page makes the argument. This page documents the machine behind it — the research pipeline, the platform that runs it, and a calculator for testing the arithmetic on your own assumptions rather than ours. Back to the argument →
Every ticker in our research coverage passes through all five steps — and every resulting research idea is recorded in the hypothetical $100K model portfolio.
Locate where secular tailwinds and structural advantages converge. AOMG trend analysis and TAM/SAM/SOM market sizing to map the opportunity landscape.
Identify companies with category-defining products, durable moats, and pricing power.
Monitor catalyst events — earnings inflections, regulatory changes, product launches — that meaningfully alter a company's trajectory.
Apply our documented sizing methodology to the hypothetical model portfolio, with analytical rationale for each entry observation.
Continuous review for thesis erosion. When the research case changes, the hypothetical model portfolio reflects the exit observation with full rationale.
Research, portfolio record, market read, and reference — organized around the 5-Step Pipeline. All content is research and education — not personalized investment advice.
Your research command center — research pipeline, hypothetical $100K model portfolio P&L, key metrics, and priority intelligence.
Material events, dislocations, earnings surprises, and regime changes — filtered by step, category, impact rating, and ticker. Signal, not noise.
Active ticker universe under research coverage with multi-framework scoring. Every name evaluated through the complete 5-step process.
Area of Maximum Growth trend radar. Identifies secular tailwinds and structural advantages surfacing in our research.
Long-horizon research reports, stock doubler analyses, and earnings architecture intelligence — institutional depth on every thesis.
The hypothetical model portfolio operates under a documented risk architecture, including a target maximum drawdown threshold and position-level heat limits across equities and LEAPS. These parameters are illustrative methodology elements of the publication — they are not return promises, performance guarantees, or applicable to any subscriber's actual portfolio. Full risk architecture parameters are documented in the subscriber methodology.
Every research observation — entry thesis, exit thesis, hypothetical sizing, and analytical rationale — fully documented in the hypothetical $100K model portfolio.
An educational reference tool demonstrating how the hypothetical model portfolio applies position sizing. Educational reference only — not personalized investment advice.
Commentary on Bull and Bear regime indicators. Model portfolio illustrates regime-responsive allocation (illustrative: 90/10/0 in bull, 25/15/60 in bear). Educational framework — not personalized allocation advice.
Triple-test research framework evaluating whether momentum in a name is genuine or misleading. Separates real accumulation from hype in our coverage universe.
Pattern recognition and thesis development lab. Where conviction is built through structured market observations.
Companies our research has flagged for deteriorated moats or structurally broken business models.
Complete transparency into the Alpha Engine, the 5-step research pipeline, and all 12 proprietary frameworks. Every decision process, fully documented.
A positive expectancy is not a promise of profit — it is arithmetic that only pays out across enough repetitions. Set your own assumptions for each stream and watch what the maths does. Every figure is computed from your inputs.
Index exposure (SPY), sized by the deployment ladder. Fewer, larger decisions.
Defined-risk options expressions. Higher frequency, smaller unit risk.
Catalyst-driven turning points in single names. Selective, event-anchored.
How this is calculated. Expectancy per trade in R = (win rate × average win) − (loss rate × average loss). Annual R = expectancy × trades per year. Annual result = annual R × your risk per trade. "1R" is the amount you decide to risk on one position; a 2.00R win returns twice that amount.
These are your assumptions, not ours. The starting slider values are round illustrative placeholders chosen to demonstrate the arithmetic — they are not Ekantik estimates, targets, or observed results, and no figure on this page is a projection of Ekantik performance. The calculation also holds win rate, reward-to-risk and position sizing perfectly constant, which no real sequence of trades does. Expectancy is a long-run average: a positive number can still be preceded by long losing stretches, and results depend entirely on inputs you choose. Nothing here is a forecast, a performance claim, or personalized investment advice. Past performance — hypothetical, modelled, or actual — does not guarantee future results.