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Latest — 29 Jan 2026

Quantitative Trading Research Overview

CitationsTitle & YearAuthorsDistilled Key Insights759Does Algorithmic Trading Improve Liquidity? (2011)Hendershott, T. et al. Causal Impact Analysis: Uses the 2003 NYSE automation shift as an exogenous instrument to prove Algorithmic Trading (AT) causally improves market quality. Key Findings: AT narrows spreads, reduces adverse selection, and increases quote informativeness, particularly for

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LLM Surveys in Financial Applications

CitationsTitle (First Author, Year)Distilled Core Info513Large language models in finance: A survey (Li et al., 2023)Adoption Roadmap: Proposes a decision framework for choosing between zero-shot, fine-tuning, or custom LLMs based on data/compute constraints.140A survey of LLMs for financial applications (Nie et al., 2024)Resource Hub: Categorizes
29 Jan 2026 5 min read

L2 Order Book Trading Strategies

27 Jan 2026 125 min read

L2 Order Book Strategies

23 Jan 2026 96 min read

L2 order book trading strategies

23 Jan 2026 56 min read
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data-accessibility-santiment-test1

============================================================ 📊 Searching through 1117 total metrics... ❌ supply_on_exchanges (not accessible) ❌ supply_outside_exchanges (not accessible) ❌ top_holders_percent_of_total_supply (not accessible) ✅ total_supply Latest value: 19910397.833522 ❌ total_supply_in_profit (not accessible) ❌ transaction_volume_in_loss (not accessible) ❌ transaction_volume_in_profit (not accessible) ❌ transaction_volume_profit_
23 Aug 2025 1 min read

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By @Yuri_trading