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A Surya Pratap Singh Experience

  • About Me
  • Tidbits
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  • Poetry
    • English Poetry
    • Hindi Poetry

Latest

Meta-Learning in Finance: Training Models That Learn to Trade Faster

Energy-Based Models for Forecasting Regime Transitions

Vision Transformers in Chart Pattern Mining at Scale

Deep RL for ESG Portfolio Construction under Dynamic Constraints

Self-Supervised Embeddings for Company Similarity Search in Investment Screening

Transformers for Risk-on/Risk-off Signal Prediction

Contrastive Learning for Market Regime Detection

Diffusion Models in Option Pricing: Beyond Black-Scholes

Agentic AI for Treasury Management: Automating Cash Flow Decisions

Zero-Shot Transfer of Trading Strategies Across Asset Classes

Friday, July 04, 2025

Meta-Learning in Finance: Training Models That Learn to Trade Faster

In recent times, the world of finance has witnessed a seismic shift in how trading strategies are developed and executed. The advent of advanced machine learning techniques has opened new … Read More

Energy-Based Models for Forecasting Regime Transitions

In today’s ever-evolving financial landscape, the need for accurate forecasting tools has never been more critical. Enter energy-based models, a cutting-edge approach that is making waves in predicting regime transitions … Read More

Vision Transformers in Chart Pattern Mining at Scale

Chart patterns play a pivotal role in technical analysis, guiding traders and analysts in making informed decisions in the fast-paced world of financial markets. The evolution of technology has brought … Read More

Deep RL for ESG Portfolio Construction under Dynamic Constraints

In today’s rapidly evolving financial landscape, the importance of Environmental, Social, and Governance (ESG) investing has reached an unprecedented peak. Investors are increasingly looking not only for financial returns but … Read More

Self-Supervised Embeddings for Company Similarity Search in Investment Screening

In the rapidly evolving landscape of investment management, the ability to efficiently sift through massive amounts of data and extract meaningful insights has become more crucial than ever. The integration … Read More

Transformers for Risk-on/Risk-off Signal Prediction

In today’s volatile financial landscape, the ability to accurately gauge market sentiment and anticipate regime shifts is crucial. Investors and analysts continually search for robust methodologies to understand when to … Read More

Contrastive Learning for Market Regime Detection

Understanding market dynamics has always been a fundamental challenge in the world of finance. Investors regularly seek foolproof methods to differentiate between bull, bear, and sideways markets to make informed … Read More

Diffusion Models in Option Pricing: Beyond Black-Scholes

In recent years, the world of finance has seen a significant shift in how we approach option pricing. The classic Black-Scholes model has long been a staple for traders and … Read More

Agentic AI for Treasury Management: Automating Cash Flow Decisions

The world of treasury management is undergoing a significant transformation, driven by the advent of Agentic AI. These self-directed AI agents are stepping in to revolutionize the way organizations manage … Read More

Zero-Shot Transfer of Trading Strategies Across Asset Classes

In the fast-paced world of trading, being able to adapt quickly to various asset classes can make or break a strategy. Enter the revolutionary concepts of zero-shot and few-shot learning, … Read More

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Recent Posts

  • Meta-Learning in Finance: Training Models That Learn to Trade Faster
  • Energy-Based Models for Forecasting Regime Transitions
  • Vision Transformers in Chart Pattern Mining at Scale
  • Deep RL for ESG Portfolio Construction under Dynamic Constraints
  • Self-Supervised Embeddings for Company Similarity Search in Investment Screening
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