Research
What Do Asset Prices in April 2025 Say About Demand for the Dollar?
What Do Asset Prices in April 2025 Say About Demand for the Dollar?
Markets & Industry
Semiconductors, supply chains, AI industry, manufacturing.
Key Terms
Event Study Methodology: Measuring Market Reactions to Corporate Announcements
— Event study methodology for measuring abnormal returns aroun...
Factor Model Validation Methodology: Statistical Tests and Economic Significance Frameworks
— Validation methodology for factor-based investment models: t...
Market Data API Reference: REST, WebSocket, and FIX Protocol Integration Patterns
— Comprehensive reference for market data API integration: RES...
Market Making Compliance: Best Execution, Reg NMS, MiFID II, and Market Abuse Regulation
— Compliance reference for market making operations: Reg NMS O...
Markets
— Key terms and definitions for financial markets, quantitativ...
Options Pricing with Python: Black-Scholes, Binomial Trees, and Monte Carlo Simulation
— Python implementation of options pricing models: Black-Schol...
Options Trading: Greeks, Volatility, and Exotic Structures Reference
— Comprehensive reference of options market terminology: Delta...
Portfolio Optimization in Python: Mean-Variance, Risk Parity, and Black-Litterman Models
— Python implementation of portfolio optimization: mean-varian...
Latest Lessons
Learn
Quantitative Methods in Finance: From Descriptive Statistics to Factor Models
Foundation of quantitative finance — statistical methods, risk measures, and multi-factor models use
Intermediate
Learn
Volatility Analysis: Measuring, Modeling, and Trading Uncertainty
Understand volatility as an asset class — from historical vol to implied vol surfaces, VIX dynamics,
Advanced
Learn
Market Microstructure: How Trades Execute and Prices Form
Understand the mechanics of order execution, bid-ask spreads, market making, and how electronic mark
Advanced
Learn
Commodity Trading Strategies
A learn article exploring commodity trading strategies within the Markets & Industry domain. Covers
Intermediate
Learn
Market Volatility Patterns
A learn article exploring market volatility patterns within the Markets & Industry domain. Covers co
Intermediate
Learn
Ai Hardware Trends
A learn article exploring AI hardware trends within the Markets & Industry domain. Covers core conce
IntermediateConcepts
AI Hardware Trends
(1)
Asset Pricing Models
(2)
Behavioral Finance
(3)
Commodity Trading Strategies
(1)
ESG Investing
(1)
Earnings Analysis
(1)
Factor Investing
(3)
Fixed Income Markets
(1)
Hawkes Process
(1)
High Frequency Trading
(3)
Implied Volatility Surface
(2)
Limit Order Book
(1)
Macroeconomic Analysis
(3)
Market Impact Models
(4)
Market Microstructure
(11)
Research
From Stocks to Flows: Debt Service and Fiscal Sustainability
From Stocks to Flows: Debt Service and Fiscal Sustainability
Research
Unruly by Design: Fee Volatility and Strategic Attacks in Bitcoin Mining
Unruly by Design: Fee Volatility and Strategic Attacks in Bitcoin Mining
Research
Do Monetary Policy Rates Reach Borrowers? Evidence from Household and Firm Loans in 96 Countries
Do Monetary Policy Rates Reach Borrowers? Evidence from Household and Firm Loans in 96 Countries
Research
How Might Fiscal Policy Respond to the Rise of Artificial Intelligence?
How Might Fiscal Policy Respond to the Rise of Artificial Intelligence?
Research
Forecasting the Covid Surge in Inflation
Forecasting the Covid Surge in Inflation
Research
Alternative Data Alpha: Satellite Imagery, Credit Card Transactions, and Web Scraping in Quant Strategies
Survey of alternative alpha sources: satellite imagery for retail traffic, credit card transaction aggregates, web scraping for supply chain intelligence, and job posting analytics for sector forecasting.
Research
Cross-Asset Volatility Spillover: Contagion Channels Between Equities, Bonds, FX, and Crypto
Empirical analysis of volatility transmission across equity, fixed income, FX, and crypto markets during crisis periods. VAR and DCC-GARCH models quantify spillover intensity during COVID, Ukraine, and rate hiking cycles.
Research
High-Frequency Latency Arbitrage: Co-location, Microwave, and FPGA Strategies in Modern Markets
Analysis of latency arbitrage strategies in equities and futures markets. Co-location proximity pricing, microwave network topology, FPGA-based order book processing, and latency measurement methodology.
Research
Behavioral Finance Biases in Active Trading: Loss Aversion, Disposition Effect, and Herding in Retail Flow
Empirical study of behavioral biases using retail order flow data: loss aversion during drawdowns, disposition effect in tax-loss harvesting, herding in meme stocks, and confirmation bias in earnings trading.
Research
Decentralized Finance Derivatives: AMM-based Options, Perpetual Swaps, and Tokenized Risk Transfer
Analysis of DeFi derivatives markets: AMM-based options (Panoptic, Lyra), perpetual swap funding rates, tokenized credit default swaps, and cross-chain derivatives settlement. Risk assessment of smart contract and oracle exposure.
Research
Options Flow Analysis: Detecting Institutional Order Flow from Retail Volume
Analysis of options market data to distinguish institutional flow from retail activity using trade size, delta, and open interest patterns. Covers SPX vs SPY flow divergence, block trades, and sentiment indicators.
Research
Earnings Season Alpha: Quant Strategies for Pre- and Post-Earnings Drift
Quantitative analysis of earnings announcement drift (PEAD) across sectors. Backtests of straddle, strangle, and delta-hedged strategies around earnings events with volatility surface analysis.
Research
Machine Learning Risk Parity: Dynamic Risk Budgeting with Regime Detection
Implementation of risk parity portfolios with ML-based regime detection. Uses HMM and t-SNE for market regime classification, dynamically adjusting risk budgets across equities, bonds, commodities, and FX.
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ETF Creation/Redemption Arbitrage: Measuring Premium-Discount Efficiency Across Asset Classes
Analysis of ETF premium/discount dynamics across equity, fixed income, and commodity ETFs. Quantifies creation/redemption mechanism efficiency and identifies persistent arbitrage opportunities.
Research
Yield Curve Modeling: Nelson-Siegel, Svensson, and Machine Learning Extensions for Fixed Income
Comparative analysis of yield curve models: Nelson-Siegel, Svensson, and Gaussian process regression. Covers fitting methodologies, out-of-sample performance, and applications in bond portfolio duration hedging.
Research
Crypto Market Microstructure: Order Book Dynamics, Fee Tiers, and Liquidity Fragmentation
Empirical analysis of crypto exchange market microstructure across CEX and DEX venues. Order book resilience, fee tier impacts on spread, sandwich attacks, and cross-exchange latency arbitrage.
Research
Commodity Seasonality: Systematic Calendar Spread Strategies Across Energy, Metals, and Agriculture
Systematic study of commodity futures seasonality patterns. Calendar spread backtests across 25+ commodities with risk-adjusted returns analysis and roll yield optimization.
Research
VIX Term Structure Trading: Contango, Backwardation, and Volatility Risk Premium Harvesting
Systematic strategies exploiting VIX futures term structure. VIX risk premium harvesting, contango decay, VIX calendar spreads, and VVIX tail risk hedging with regime-dependent position sizing.
Research
Factor Timing with Macro Regime Signals: Value, Momentum, Size, Low Vol, and Quality Across Cycles
Systematic factor timing model using macro regime signals (growth, inflation, liquidity, credit). Backtest of value, momentum, size, low volatility, and quality factor rotation across 1970-2026.
Research
ESG Integration in Quant Portfolios: Scoring Methodologies, Carbon Beta, and Green Factor Construction
Framework for integrating ESG scores into quantitative portfolio construction. Carbon beta estimation, green-minus-brown factor portfolios, SFDR compliance, and ESG momentum strategies.
Research
Statistical Arbitrage 3.0: Cointegration, Machine Learning, and High-Frequency Pairs Trading
Modern statistical arbitrage framework combining traditional cointegration methods with ML pairwise ranking and high-frequency execution. Covers ETF pairs, cross-listed ADRs, and corporate structure pairs.
Research
Merger Arbitrage Spread Prediction: Modeling Deal Completion Probability and Optimal Entry Timing
Predictive model for merger arbitrage spreads using deal characteristics, regulatory signals, and market conditions. Logistic regression and XGBoost for completion probability with dynamic position sizing.
Research
Market Impact Cost Models: Almgren-Chriss, I-Star, and Machine Learning for Execution Optimization
Comparative analysis of market impact cost models: Almgren-Chriss framework, I-Star implementation shortfall, and ML-based impact prediction. Optimal execution schedules with permanent and temporary impact.
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Macro Factor Models for Cross-Asset Allocation: Growth, Inflation, Real Rates, and Liquidity Factors
Construction of macro factor models spanning equities, bonds, FX, commodities, and rates. Principal component analysis of macro risk premia with applications in global tactical asset allocation.
Research
Sector Rotation Strategies Across the Business Cycle: Defensive, Cyclical, and Growth Regime Allocation
Systematic sector rotation framework aligned with US business cycle phases. Performance analysis of defensive (utilities, healthcare), cyclical (tech, industrials), and growth (discretionary) sector timing strategies.
Research
Tutorial for Bayesian Factor Models
Bayesian Factor Models (BFM) are well-established models that decompose the observed variability in a set of mean-zero, independent, and uncorrelated factors (random effects). While Factor Analysis (F
Research
Markov Chain Monte Carlo with Diffusion Paths
Sampling from multimodal distributions is a longstanding challenge for classical local Markov chain Monte Carlo (MCMC) methods. A popular remedy is to introduce a sequence of intermediate distribution
Research
Stochastic Analysis of Successive Interference Cancellation in a Narrow-Beam LEO Uplink
We investigate SIR distributions and order statistics of user equipments (UEs) at a typical low Earth orbit satellite base station (LEO BS) with narrow Gaussian antenna beams in the uplink. We analyze
Research
Spatial and Temporal Correlation of Interference in a Narrow Multibeam LEO Satellite Random Access Network
Interference is a limiting factor in the emerging dense low Earth orbit (LEO) networks. In the LEO network, the interference is spatially and temporally correlated. At narrow-beam LEO base stations (B
Research
Privacy-Aware Collaborative and Distributed Bayesian Optimization
We propose a collaborative meta-learning framework for distributed Bayesian optimization matching centralized performance without raw-data exchange. We show gradient sharing leaks client observations,
Research
DiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG Generic Representations
Deep learning for EEG-based seizure detection faces critical challenges: severe annotation scarcity and extreme class imbalance, where ictal events comprise less than 10\% of clinical recordings. We p
Research
Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis
High-dimensional biomarkers such as gene expression levels are now routinely measured over time, allowing biological processes to be studied dynamically rather than through cross-sectional snapshots.
Research
Compound Interference Recognition for LR-FHSS Satellite IoT Uplinks via Multi-Domain Instance Fusion
Long range-frequency hopping spread spectrum (LR-FHSS) is a promising uplink physical layer for massive low Earth orbit satellite Internet of Things, where low power terminals report short packets fro
Research
Prezta: Provable Remote Execution of Zero-Trust Authorization using SNARKs
Modernizing the security of operational technology systems that control critical infrastructure has become a pressing challenge. Because edge devices have limited capabilities, modernization has relie
Research
Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework for Financial Anomaly Detection
Financial anomaly detection suffers from extreme class imbalance, causing traditional single-objective algorithms to exhibit ``fraud collapse'', defaulting to the majority class and failing to balance
Research
Mosaic: Runtime-Efficient Multi-Agent Embodied Planning
LLM-based multi-agent embodied planning remains impractical due to prohibitively high execution latency. We identify failed actions as the dominant bottleneck, stemming from two core challenges: inacc
Research
Objective and subjective entropy measures of portfolio suboptimality
The cost of holding a suboptimal portfolio instead of the Kelly-optimal one admits two exact relative-entropy representations. Under the true measure, the expected log-wealth shortfall equals the KL d
Research
A Truckload of Satoshis: Detecting and Measuring One-Way Arbitrage in the Wild
Centralized cryptocurrency exchanges (CEXes) enable fast off-chain conversions between hundreds of coins. It is an open question which algorithmic trading patterns occur on these platforms. A major ch
Research
Deep Learning for Dynamic Programming with Recursive Utility Using First-order Conditions
This paper proposes the certainty-equivalent first-order learning (CEFOL) algorithm, a deep learning algorithm for solving discrete-time dynamic programming problems with recursive utility. Dynamic pr
Research
The Quarter-Hour Effect: Periodic Algorithmic Trading and Return Predictability in Cryptocurrency Futures
Cryptocurrency markets exhibit periodic bursts in volatility and volume at one-, five-, and quarter-hour marks. Using trade data for six Binance perpetual contracts, we associate these bursts with alg
Research
Algorithmic Expert Aggregation
Forecast aggregation aims to combine information from multiple Bayesian experts' forecasts into an aggregate forecast. In much of this literature, however, the aggregate forecast is optimized for a pa
Research
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning
We address liquidity placement in the Bitcoin Lightning Network (LN): given a fixed budget, which channels should a node open to maximize its routing capacity? We cast this as a budget-constrained com
Research
Multi-Sender Bayesian Persuasion with Imperfect Information
We study a multi-sender Bayesian persuasion problem with one receiver and several strategic senders. The underlying ground state has multiple components, each privately observed by a different sender,
Research
Robust Bayesian Decision Making under Adversarial Uncertainty
Scientific experiments are often designed to maximize information gain, yet in many applications the primary objective is to support reliable downstream decision-making. Existing decision-aware experi
Research
Optimal Prediction of Resistance and Support Levels under Constant Elasticity of Variance Processes
Assuming that the asset price $X$ follows a constant elasticity of variance process, this paper studies the optimal prediction problem $\inf_{0\leq τ\leq T}\mathbb{E}|X_τ-\ell|$, where the infimum is
Research
Causal Effects of Protocol-Fee Changes on Liquidity Provision in Automated Market Makers
Automated market maker (AMM) fee rules are often evaluated by liquidity-provider (LP) welfare, but that objective mixes fee revenue, adverse-selection loss (loss-versus-rebalancing, LVR), routing resp
Research
Estimating the Stochastic Discount Factor from Option Prices and Predicting the Equity Premium
This paper proposes a stochastic discount factor (SDF) scaled by time-varying volatility. By utilizing prices and market data implied solely from S\&P 500 options, the proposed framework recovers a st
Research
On Exploring Input Resolution Scaling For Anytime LiDAR Object Detection
Making tradeoffs between execution latency and result utility (i.e., anytime computing) for adapting to dynamic operational requirements has been shown to enhance the performance of cyber-physical sys
Research
LLMs Are Not a Default Execution Engine
HackerNews discussion (7 points) about LLMs Are Not a Default Execution Engine.
Research
Neighborhood Effects and Missing Markets for Opportunity
Experimental and quasi-experimental studies show that childhood neighborhoods have substantial causal impacts on children’s adult earnings and other long-term socioeconomic outcomes. Several market failures are likely to lead to excessive residential segregation by parental income and to an under-su...
Research
8-K · MGT CAPITAL INVESTMENTS, INC. (MGTI)
EX-10.2
Research
424B2 · BARCLAYS BANK PLC (DJP, GRN, VXX, VXZ, ATMP, GBUG, TAPR, BWVTF, JJETF)
FORM 424B2
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8-K · LQR House Inc. (YHC)
PRESS RELEASE, DATED JUNE 30, 2026
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424B2 · BARCLAYS BANK PLC (DJP, GRN, VXX, VXZ, ATMP, GBUG, TAPR, BWVTF, JJETF)
FORM 424B2
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POS EX · ETF Series Solutions
EX-99.(H)(IV)
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8-K · DraftKings Inc. (DKNG)
FORM 8-K
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424B2 · BARCLAYS BANK PLC (DJP, GRN, VXX, VXZ, ATMP, GBUG, TAPR, BWVTF, JJETF)
FORM 424B2
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424B2 · BARCLAYS BANK PLC (DJP, GRN, VXX, VXZ, ATMP, GBUG, TAPR, BWVTF, JJETF)
FORM 424B2
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Feature Engineering at Scale: Building ML-Ready Market Data Pipelines with dbt and Iceberg
Production feature engineering pipelines for quantitative finance: transforming raw tick data into ML-ready feature sets using dbt for SQL transformations, Iceberg for time-travel access, and Dagster for asset orchestration.
Research
Real-Time Data Engineering for Algorithmic Trading: From Tick Data to Execution Signals
Production-grade data pipelines for algorithmic trading systems: handling market data at microsecond latency, feature engineering stream processing, backtesting infrastructure, and DataOps orchestration.
Research
S&P 500 rejects SpaceX, also blocking entry for OpenAI and Anthropic -- 🧬 SCIENCE 2026-06-07
Summary Today in SCIENCE, the top story is "S&P 500 rejects SpaceX, also blocking entry for OpenAI and Anthropic", which gathered 1405 points on Hacker News -- nearly 15x higher than the av
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Meta confirms 1000s of Instagram accounts were hacked by abusing its AI chatbot -- 📈 STOCK 2026-06-07
Summary Today in STOCK, the top story is "Meta confirms 1000s of Instagram accounts were hacked by abusing its AI chatbot", which gathered 546 points on Hacker News -- nearly 5x higher than
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Gov.uk has replaced Stripe with Dutch provider Adyen -- 🛡️ AML 2026-06-07
Summary Today in AML, the top story is "Gov.uk has replaced Stripe with Dutch provider Adyen", which gathered 559 points on Hacker News -- nearly 13x higher than the average of other articl
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Nvidia RTX Spark -- 📈 STOCK 2026-06-02
Trending (HackerNews, 2026-06-02) Nvidia RTX Spark (discussion) (405 pts) OpenAI frontier models and Codex are now available on AWS (discussion) (326 pts) ChatGPT for Google Sheets exfiltrates wor
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Can the stockmarket swallow Anthropic, SpaceX and OpenAI? -- 🧬 SCIENCE 2026-06-02
Trending (HackerNews, 2026-06-02) Can the stockmarket swallow Anthropic, SpaceX and OpenAI? (discussion) (534 pts) Anthropic confidentially submits draft S-1 to the SEC (discussion) (508 pts) AI A
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Iran stops negotiations with U.S., vows to completely block Strait of Hormuz -- 🛡️ AML 2026-06-02
Trending (HackerNews, 2026-06-02) Iran stops negotiations with U.S., vows to 'completely' block Strait of Hormuz (discussion) (101 pts) Show HN: Eyeball (discussion) (60 pts) The Infosec Phraseboo
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Microsoft Office 2019 and 2021 for Mac view-only conversion -- 📈 STOCK 2026-06-01
Trending (HackerNews, 2026-06-01) Microsoft Office 2019 and 2021 for Mac view-only conversion (discussion) (998 pts) I put a datacenter GPU in my gaming PC (discussion) (318 pts) ChatGPT for Googl
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CRISPR-based gene therapy receives expanded FDA approval for five genetic disorders
FDA expands approval for CRISPR-based gene therapy to treat five additional genetic disorders, analyzing clinical trial outcomes, patient eligibility criteria, pricing models, and long-term safety monitoring requirements.
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Global Stock Markets Volatility Amid Interest Rate Uncertainty
Trending Topics (HackerNews, 2026-05-10) S&P 500 enters correction territory as inflation data surprises (discussion) (540 points) Retail investors pour money into AI ETFs despite warnings (di
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Quantum computing startups see record $4.2B in venture funding during Q1 2026
Quantum computing venture funding reaches $4.2B in Q1 2026, analyzing the major rounds, technology approaches (superconducting, trapped ion, photonic), and the path toward commercial quantum advantage.
Research
JWST detects unexpected atmospheric chemistry on temperate exoplanet in habitable zone
JWST reveals unexpected atmospheric composition on a temperate exoplanet in the habitable zone, including potential biosignature gases and unusual chemical disequilibrium that challenges current atmospheric models.
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EV battery supply chain diversification accelerates with 12 new gigafactories
Mapping the global EV battery supply chain as 12 new gigafactories break ground across North America, Europe, and Southeast Asia, reducing dependence on Chinese battery supply chains.
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EU AI Act Enters Force — Global Implications for Tech
Trending Topics (HackerNews, 2026-04-15) EU AI Act officially enters into force (discussion) (620 points) OpenAI releases GPT-5 with improved reasoning (discussion) (580 points) Google's new AI se
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AI hardware spending reaches $300B annual run rate: who benefits?
Analysis of the AI hardware investment boom as annual spending reaches $300B run rate, examining which companies capture value across the stack — from NVIDIA and AMD to custom ASIC designers and memory manufacturers.
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Neuralink first human trial results: 12 patients achieve brain-computer interface milestones
Detailed report on Neuralink's first human clinical trial results across 12 patients, examining cursor control accuracy, communication speeds for locked-in patients, and long-term implant biocompatibility.
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New room temperature superconductivity claim: LK-99 replication attempt yields unexpected results
Comprehensive analysis of the latest room temperature superconductivity claim, following rigorous replication attempts by 15 independent laboratories showing partial resistance drops but no definitive zero resistance.
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Global semiconductor supply chain reshuffling: the post-Taiwan scenario
Analysis of semiconductor supply chain diversification as companies accelerate fab construction in US, Europe, and Japan, examining timelines, costs, and technical challenges of geographic redistribution.
Research
AlphaFold 3 predicts 200 million protein structures in largest-ever validation study
DeepMind's AlphaFold 3 achieves unprecedented scale, predicting 200 million protein structures with experimental validation across 10,000 targets, accelerating drug discovery and structural biology.
Research
TSMC 2nm process enters volume production: what it means for global semiconductor supply
TSMC begins volume production of 2nm chips, examining the technical milestones achieved, production yields, customer allocations, and implications for the global semiconductor supply chain and geopolitics.