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A Surya Pratap Singh Experience

  • About Me
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    • English Poetry
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Latest

Large Language Models in Crypto Trading Bots: Hype or Reality?

Generative AI for Predicting Market Regime Shifts

Reinforcement Learning Meets Generative Models in Equity Markets

How Gen AI is Powering Next-Gen Quant Trading Strategies

Transformer Architectures for Real-Time Crypto Price Prediction

Generative AI in Stock Trading: Building Autonomous Market Makers

Generative AI in Stock Trading: Building Autonomous Market Makers

Synthetic Market Data: Solving the Liquidity Problem in AI Trading Models

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

Energy-Based Models for Forecasting Regime Transitions

Thursday, October 16, 2025

Category: Tidbits

Cross-Market Arbitrage with Multimodal AI: NLP + Price Action

In today’s fast-paced financial environment, staying ahead of the curve often requires innovative strategies and deep dives into vast amounts of data. One exciting approach that has gained significant traction … Read More

Risk Modeling with Diffusion Models: Replacing Monte Carlo with Generative AI

The financial landscape has always thrived on the accurate assessment of risks. This is especially true when it comes to Value at Risk (VaR) calculations, where precision and timeliness are … Read More

Anomaly Detection in Trading Volumes Using Self-Supervised Transformers

In the fast-paced world of trading, understanding fluctuations in trading volumes can prove essential for making informed decisions. Here, I want to explore a cutting-edge approach to anomaly detection in … Read More

Multi-Agent Reinforcement Learning in Market Simulations

Markets are chaotic, dynamic, and often unpredictable. Yet, within this apparent randomness lies an intricate web of behaviours, strategies, and interactions that can reveal valuable insights, especially when viewed through … Read More

RLHF in Finance: Using Human Feedback to Fine-Tune Trading Bots

In the ever-evolving landscape of finance and trading, traditional methods of algorithm development have transformed dramatically thanks to advancements in artificial intelligence (AI). One of the leading-edge approaches making waves … Read More

AutoML for Trading Strategy Discovery: Let the Machine Find the Alpha

In the ever-evolving world of finance, finding the next big trading strategy can feel like searching for a needle in a haystack. With markets moving faster than ever and traditional … Read More

Graph Neural Networks for Fraud Detection in Payment Networks

In the fast-evolving world of payment networks, the threat of fraud looms large, affecting businesses and consumers alike. Traditional methods of detecting fraudulent activity often fall short, grappling with the … Read More

Transformer Models for High-Frequency Tick Data Forecasting

In the ever-evolving world of finance, high-frequency trading (HFT) is at the forefront of innovation. The ability to predict price movements in real-time is paramount for traders looking to capitalize … Read More

Synthetic Financial Data and Privacy-Preserving AI in Banking

In the ever-evolving world of finance, banks face a daunting challenge: how to use data effectively while safeguarding customer privacy. With the General Data Protection Regulation (GDPR) setting stringent rules … Read More

Deep Reinforcement Learning for Multi-Asset Strategy Learning

In recent years, deep reinforcement learning (DRL) has emerged as a transformative force in finance, especially when it comes to developing multi-asset trading strategies. While traditional approaches often focus on … Read More

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Recent Posts

  • Large Language Models in Crypto Trading Bots: Hype or Reality?
  • Generative AI for Predicting Market Regime Shifts
  • Reinforcement Learning Meets Generative Models in Equity Markets
  • How Gen AI is Powering Next-Gen Quant Trading Strategies
  • Transformer Architectures for Real-Time Crypto Price Prediction
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