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QUANT_MEDIA: US Financial Intelligence, Quantitative Research & Market Analysis

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QUANT_MEDIA Intelligence March 2026
Market News March 12, 2026
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Top Movers S&P 500
Sectors
Macro Calendar This Week
Mon 8:30
Core CPI YoY — Feb 2026
Wed 14:00
FOMC Rate Decision
Thu 8:30
Initial Jobless Claims
Thu 8:30
PPI MoM — Feb 2026
Fri 10:00
UMich Consumer Sentiment
Research & Analysis Quant Research Lab
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Microstructure
VPIN and Order Flow Toxicity: A Practical Microstructure Signal
Volume-synchronized probability of informed trading identifies when order flow becomes dangerous for liquidity providers.
Infrastructure
Building a Low-Latency Trading Stack with RTX 5090
Why GPU-accelerated financial modeling still requires CPU-class hardware. A split-path architecture analysis for real trading systems.
Portfolio Theory
Hierarchical Risk Parity (HRP) for Portfolio Optimization
Cluster-based allocation that avoids covariance inversion for more stable out-of-sample diversification.
Quantitative
Probabilistic Sharpe Ratio & Backtest Overfitting
A statistically rigorous alternative to raw Sharpe adjusting for non-normality, sample length, and multiple testing bias.
Execution
Slippage & Latency Modeling in Backtesting
Why PnL arises from signal after implementation. Fill models, latency decomposition, and market impact as strategy-defining parameters.
AI Trading
Claude AI in Trading: How LLMs Are Reshaping Financial Markets
From the $14K Polymarket trade to Goldman Sachs automation — how Claude is disrupting Wall Street.
Deep Analysis 11 Papers + Special Report
Full library →
01
VPIN and Order Flow Toxicity
Volume-synchronized probability of informed trading as a microstructure regime signal for liquidity providers.
VPINMicrostructureOrder Flow
Micro
02
Low-Latency Stack: RTX 5090 & Core Ultra 9
Split-path CPU/GPU architecture analysis for real-world trading systems and batched ML inference.
InfrastructureLatencyGPU
Infra
03
Hierarchical Risk Parity (HRP)
Cluster-based portfolio allocation avoiding covariance matrix inversion for stable out-of-sample diversification.
HRPPortfolioClustering
Port
04
Probabilistic Sharpe Ratio & Backtest Overfitting
Rigorous Sharpe inference under non-normality, fat tails, and multiple testing selection bias.
PSRBacktestStatistics
Quant
05
Bid-Ask Spread Dynamics
Quoted, effective, and realized spreads as microstructure state variables for execution models.
SpreadsExecutionMarket Making
Micro
06
Sentiment Analysis with Qwen & Llama
Building a time-aware, language-native NLP pipeline for financial news signal extraction with open-weight LLMs.
NLPLLMSentiment
AI
07
Sovereign AI: Local LLMs for Quant Research
Self-hosted language models as the structural future of investment research and data governance.
Sovereign AILLMPrivacy
AI
08
Alpha Discovery with Genetic Algorithms
Evolutionary search as an automated alpha hypothesis generator with fitness design and rigorous validation.
GAAlphaOptimization
Alpha
09
Slippage & Latency Modeling in Backtesting
Fill models, latency decomposition, and square-root market impact as strategy-defining parameters.
SlippageImpactBacktest
Exec
10
The Role of Alternate Data in Quant Finance
Satellite imagery, transaction panels, and e-commerce data as nowcasting signals with proper governance.
Alt DataMLNowcasting
Data
11
Optimization of HF Analytical Operations
From vectorization to predictive modeling. Rolling-window math, GPU analytics, and feature engineering.
VectorizationGPUAnalytics
Eng
Claude AI in Trading: How LLMs Are Reshaping Markets
$14K Polymarket return, Goldman Sachs automation, trillion-dollar selloff — quantitative analysis of AI in finance.
ClaudeAI TradingAgentic AI
Special