Research before product: infrastructure, economics, geopolitics, and algorithmic maths.

The Uncodified Margin: Human Relational Intelligence as a Structural Complement to Algorithmic Systems in Five Emerging Markets

Gupta, Lokesh. SSRN, July 31, 2026. DOI: 10.2139/ssrn.7235801

Algorithmic systems can act only on information that has been codified. This paper argues that in emerging-market commerce a structurally significant share of decision-relevant information is never codified at all, and names that residue the uncodified margin. It is an equilibrium outcome rather than a temporary data-coverage gap: counterparties outside formal credit and contracting regimes have positive incentives against creating a durable record. The argument is developed from eighteen years of field operation across Gujarat, Ethiopia, Vietnam, Cambodia and Uganda, and assesses its own February 2025 prediction against the ILO and World Bank evidence published since.

Supersedes Bridging the Gap (SSRN 5140987).

Lokesh Gupta · AION Analytics (India) · ORCID 0009-0000-7501-9230

Gupta, L. (2026). The Uncodified Margin: Human Relational Intelligence as a Structural Complement to Algorithmic Systems in Five Emerging Markets. SSRN. https://doi.org/10.2139/ssrn.7235801

@article{gupta2026uncodifiedmargin,
    author  = {Gupta, Lokesh},
    title   = {The Uncodified Margin: Human Relational Intelligence as a Structural Complement to Algorithmic Systems in Five Emerging Markets},
    year    = {2026},
    month   = {aug},
    journal = {SSRN Electronic Journal},
    doi     = {10.2139/ssrn.7235801},
    url     = {https://ssrn.com/abstract=7235801}
  }

Signal Provenance in Retail Algorithmic Trading: An Architectural Gap in SEBI's 2026 Framework and Its General Form

Gupta, Lokesh. SSRN, July 14, 2026. DOI: 10.2139/ssrn.7118421

SEBI's algorithmic trading framework closes the order chain but not the signal chain: a fully compliant order reaches the broker while what caused it remains invisible. This paper evidences that gap from primary regulatory sources across India, the EU, and the UAE, demonstrates that origin capture is feasible in production, and states the finding in general form for any framework that anchors accountability at an intermediary while the conduct of interest occurs upstream.

Provisional patent filed 14 July 2026 — Application No. IN202621086466

Lokesh Gupta · AION Analytics (India) · ORCID 0009-0000-7501-9230

Gupta, L. (2026). Signal Provenance in Retail Algorithmic Trading: An Architectural Gap in SEBI's 2026 Framework and Its General Form. SSRN. https://doi.org/10.2139/ssrn.7118421

@article{gupta2026signalprovenance,
    author  = {Gupta, Lokesh},
    title   = {Signal Provenance in Retail Algorithmic Trading: An Architectural Gap in SEBI's 2026 Framework and Its General Form},
    year    = {2026},
    month   = {jul},
    journal = {SSRN Electronic Journal},
    doi     = {10.2139/ssrn.7118421},
    url     = {https://ssrn.com/abstract=7118421}
  }

The Great Indian Illusion: Unpacking the Gap Between Growth Statistics and Citizen Well-Being

Gupta, Lokesh. SSRN, June 15, 2026. DOI: 10.2139/ssrn.6973958

Headline indicators of the Indian economy for 2025-26 coexist with a parallel set that is considerably less favourable. The paper does not argue that growth statistics are fabricated; it argues that several headline aggregates are accurate but incomplete, describing the upper half of the income and capital distribution while remaining largely silent on the lower half, on first-time market participants, and on the structural composition of bank credit risk. Five pillars are examined against primary data available as of June 2026.

Lokesh Gupta · AION Analytics (India) · ORCID 0009-0000-7501-9230

Gupta, L. (2026). The Great Indian Illusion: Unpacking the Gap Between Growth Statistics and Citizen Well-Being. SSRN. https://doi.org/10.2139/ssrn.6973958

@article{gupta2026greatindianillusion,
    author  = {Gupta, Lokesh},
    title   = {The Great Indian Illusion: Unpacking the Gap Between Growth Statistics and Citizen Well-Being},
    year    = {2026},
    month   = {jul},
    journal = {SSRN Electronic Journal},
    doi     = {10.2139/ssrn.6973958},
    url     = {https://ssrn.com/abstract=6973958}
  }

Asymmetric Multipolarity: Financial, Industrial, Resource, and Strategic Power in the Post-Unipolar Global Order

Gupta, Lokesh. SSRN, March 21, 2026. DOI: 10.2139/ssrn.6449739

A geoeconomic framework for reading the post-unipolar order through four power vectors: financial depth, industrial capacity, resource security, and strategic autonomy.

• Positions AION as infrastructure research, not only product development.
• Connects macro capital flows, supply chains, resource chokepoints, and state capacity to technology architecture.
• Useful for model assumptions where markets react to geopolitical and industrial regime shifts, not only price history.

Lokesh Gupta · AION Analytics (India) · ORCID 0009-0000-7501-9230

Gupta, L. (2026). Asymmetric Multipolarity: Financial, Industrial, Resource, and Strategic Power in the Post-Unipolar Global Order. SSRN. https://doi.org/10.2139/ssrn.6449739

@article{gupta2026asymmetricmultipolarity,
    author  = {Gupta, Lokesh},
    title   = {Asymmetric Multipolarity: Financial, Industrial, Resource, and Strategic Power in the Post-Unipolar Global Order},
    year    = {2026},
    month   = {mar},
    journal = {SSRN Electronic Journal},
    doi     = {10.2139/ssrn.6449739},
    url     = {https://ssrn.com/abstract=6449739}
  }

Beyond the Mirror: Systemic Vulnerabilities in LLM Safeguards Exposed Through Intentional Conditioning

Gupta, Lokesh. SSRN, April 27, 2025. DOI: 10.2139/ssrn.5232429

A 90-day investigation into how large language models can be systematically conditioned to bypass ethical safeguards through polite, persistent inquiry rather than adversarial prompting. Using six experimental schemas, the study records deviation rates of 1.0 for high-risk terms and compliance falling to 0.2 after 1,200 conversational turns. The finding is that safeguards fail under tone-driven, continuity-based probing rather than under direct attack. Conducted under responsible-disclosure principles: no real systems were accessed or manipulated.

Lokesh Gupta · AION Analytics (India) · ORCID 0009-0000-7501-9230

Gupta, L. (2025). Beyond the Mirror: Systemic Vulnerabilities in LLM Safeguards Exposed Through Intentional Conditioning. SSRN. https://doi.org/10.2139/ssrn.5232429

@article{gupta2025beyondthemirror,
    author  = {Gupta, Lokesh},
    title   = {Beyond the Mirror: Systemic Vulnerabilities in LLM Safeguards Exposed Through Intentional Conditioning},
    year    = {2025},
    month   = {apr},
    journal = {SSRN Electronic Journal},
    doi     = {10.2139/ssrn.5232429},
    url     = {https://ssrn.com/abstract=5232429}
  }

Economics and geopolitics

Research starts with capital flows, industrial policy, resource security, state capacity, and geopolitical regime shifts.

Algorithmic mathematics

We explain the math behind pricing, probability bands, graph risk, volatility, and feature engineering in plain technical language.

Infrastructure systems

The output is infrastructure: calendars, local agents, model APIs, audit reports, and governance surfaces for Indian market builders.

Governance and auditability

Every public model must remain explainable, bounded, and inspectable. Research notes document assumptions before systems scale.

OpenAlgo symtoken: 31 Brokers and Multi-Broker Execution

Educational note | AION Research Notes | June 10, 2026

Explains how OpenAlgo normalizes order flow across 31 SEBI-registered brokers through canonical symbols and broker-specific token lookup, then shows why true multi-broker execution needs a retained cross-broker registry.

• Separates broker abstraction from UI glue by showing symbol, token, exchange, expiry, strike, and lot-size normalization as infrastructure work.
• Highlights the single-active-broker constraint where a shared symtoken table is replaced when the user switches brokers.
• Introduces AION's active retention approach: cache only the live signal universe with broker-specific mappings for instant switching, validation, and fan-out.

The FII-DII Headline Is Lagging: What Actually Moved the Market on April 8

Market structure note | AION Research Notes

On April 8, 2026, FIIs net-sold ₹8,692 crore in cash equities — yet Nifty gained ~3.85%. This note explains the three layers the daily FII-DII number structurally cannot see.

• FII index-futures positioning is often the larger and more structurally informative exposure than the cash-equity headline.
• India VIX compression — the volatility regime repricing — frequently drives the speed and breadth of a rally more than any single flow figure.
• The combined domestic bid (DII + retail + SIP + proprietary) has become structurally large enough in 2025-26 to absorb sustained FII selling.

Euler's Equation and Why Financial Markets Love It

Educational note | AION Research Notes

Explains Euler's equation as a bridge between growth, decay, cycles, probability, and market infrastructure rather than as a memorized formula.

• Frames discounting, compounding, and complex rotations as infrastructure ideas.
• Connects Fourier transforms to cycle/noise decomposition for algorithmic feature engineering.

Options Greeks Through Taylor Series

Educational note | AION Research Notes

Breaks down nonlinear option movement into delta, gamma, and theta so readers can see why the same index move does not create the same option-price move every time.

• Delta shows first-order price sensitivity.
• Gamma explains why at-the-money options can accelerate after the first move.
• Theta grounds the constant time-decay pressure that infrastructure must account for.

High VIX Trap: Why Market Fear Becomes a Siren Song

Educational note | AION Research Notes

Explains why a rising India VIX signals expected swing magnitude, not directional edge, and why high option premiums can become bait for undisciplined F&O traders.

• Separates volatility magnitude from price direction.
• Frames sharp VIX spikes as panic overshoots that require stricter risk controls.

Systemic Risk Model: Graph Theory and Market Crash Prediction

Educational note | AION Research Notes

Uses graph structure to explain how connectivity, leverage, correlation clusters, and liquidity stress turn local shocks into systemic risk.

• Treats institutions, funds, exchanges, derivatives, and capital flows as connected nodes.
• Shows why diversification can fail when correlations compress during stress.

AION Veritas Daily Probability Band Series: Bachelier to BSM

Probability band series | AION Research Notes | Daily public record

Publishes daily pre-market opening probability bands using the mathematical-finance lineage from Louis Bachelier's diffusion logic through Black-Scholes-Merton style option-implied probability thinking.

• Makes clear this is not invented math; it operationalizes Bachelier/BSM probability logic for Indian opening-range infrastructure.
• Builds public model accountability by separating band containment, directional conviction, and same-day verification.

Crash Cycles Before the Headline Trigger

Educational note | AION Research Notes

Explains that most crashes are prepared by leverage, liquidity stress, crowded positioning, debt, and overconfidence before one headline appears to cause the break.

• Separates slow structural fragility from the final visible catalyst.
• Maps directly to macro-event and sector-impact intelligence work.

Bull Traps, Bear Traps, and Emotional Confirmation Bias

Educational note | AION Research Notes

Connects failed breakouts, reversals, option-writer behavior, liquidity sweeps, VIX, and volume follow-through to behavioral risk.

• Moves the explanation from candle labels to market-participation evidence.
• Emphasizes confirmation over excitement in high-volatility regimes.

AION Indian Market Intelligence: Macro Event and Sector Impact API

Educational note | AION Research Notes

Explains the infrastructure gap where headlines are flattened into one label even though RBI, crude, monsoon, rupee, and policy shocks hit sectors through different channels.

• Maps macro events into sector vectors and stakeholder views.
• Shows why market intelligence needs Indian-sector mechanics, not generic sentiment labels.

SEBI Governance Blind Spot on Static IP

Governance note | AION Research Notes

Frames retail algo execution as a governance and infrastructure problem around local agents, broker reporting, API-key custody, and static-IP assumptions.

• Contrasts institution-era static-IP architecture with retail-owned local execution.
• Supports the need for transparent governance layers around AI agents and broker APIs.

15-Minute Opening-Window Rule

Educational note | AION Research Notes

A market-structure entry framework: let the first 15 minutes define the opening range, mark high/low/VWAP, then wait for breakout, retest, and volume confirmation.

• Avoids first-candle impulse entries.
• Filters midpoint chop by waiting for confirmation instead of guessing.

The Great Indian Illusion: Five Structural Cracks

Educational note | AION Research Notes

A plain-language macro framework contrasting headline growth narratives with lived indicators: wages, jobs, grocery costs, credit access, the rupee, and public services.

• Connects economic statistics to household-level stress signals.
• Frames questions retail participants can ask before accepting headline narratives.

Your Trading Car: A Minimalist Dashboard for Decisions

Educational note | AION Research Notes

Reduces chart clutter into four gauges: price/trend, volume/participation, momentum, and key levels, so decisions move from opinions to evidence.

• Uses VWAP/MA as the speedometer for direction.
• Explains why conflicting gauges often mean no trade is the cleanest decision.