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Bighead's Algorithm Notes

Focused on AI applications in the fintech sector

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Latest from Bighead's Algorithm Notes

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Bighead's Algorithm Notes

Oct 9, 2025 · Artificial Intelligence

Paper Review: TradingGroup – A Multi‑Agent Quantitative Trading System with Self‑Reflection and Data Synthesis

The paper introduces TradingGroup, a five‑agent LLM‑based quantitative trading framework that incorporates a self‑reflection mechanism, dynamic risk management, and an automated data‑synthesis pipeline, and demonstrates superior cumulative returns, Sharpe ratios, and lower drawdowns than rule‑based, ML, RL, and existing LLM strategies on five real‑world stock datasets.

LLMdata synthesisfinancial AI

0 likes · 14 min read

Paper Review: TradingGroup – A Multi‑Agent Quantitative Trading System with Self‑Reflection and Data Synthesis

Bighead's Algorithm Notes

Oct 2, 2025 · Artificial Intelligence

FinZero: Multimodal Large‑Model Reasoning for Financial Time‑Series Forecasting

FinZero is a multimodal large‑model that leverages a 30‑billion‑parameter Qwen2.5‑VL backbone fine‑tuned with the UARPO strategy on the FVLDB dataset, enabling accurate financial time‑series prediction, uncertainty quantification, and outperforming larger models such as GPT‑4o by about 13.5% in high‑confidence groups.

FinZeroGPT-4o comparisonQwen2.5-VL-3B

0 likes · 10 min read

FinZero: Multimodal Large‑Model Reasoning for Financial Time‑Series Forecasting

Bighead's Algorithm Notes

Sep 29, 2025 · Artificial Intelligence

AlphaAgents: BlackRock’s LLM‑Driven Multi‑Agent System for Stock Portfolio Management

AlphaAgents introduces a role‑based multi‑agent framework—Fundamental, Sentiment, and Valuation agents—leveraging LLMs to analyze 10‑K reports, news, and price data, with a debate mechanism via Microsoft AutoGen; experiments on 15 tech stocks show superior cumulative returns and Sharpe ratios under risk‑neutral and risk‑averse settings compared to single‑agent baselines.

AlphaAgentsLLMMulti-agent

0 likes · 10 min read

AlphaAgents: BlackRock’s LLM‑Driven Multi‑Agent System for Stock Portfolio Management

Bighead's Algorithm Notes

Sep 27, 2025 · Artificial Intelligence

Weekly Time-Series Paper Digest (Sep 20‑26, 2025)

This digest summarizes three recent arXiv papers that propose novel diffusion‑based generation, a channel‑independent convolution for multivariate forecasting, and a style‑guided diffusion framework, each demonstrating improved realism, coherence, and diversity of synthetic time‑series data through extensive experiments.

DS-DiffusionDiffusion ModelsIConv

0 likes · 8 min read

Weekly Time-Series Paper Digest (Sep 20‑26, 2025)

Bighead's Algorithm Notes

Sep 26, 2025 · Artificial Intelligence

Paper Summaries: Recent AI-Driven Finance Research (Sep 20‑26, 2025)

This article presents concise English summaries of four recent arXiv papers that explore AI-driven trading frameworks, dual‑view risk‑relation identification from 10‑K filings, multimodal language models for financial forecasting, and credit‑spread prediction enhanced by non‑financial data, highlighting their methods, datasets, and performance results.

AICredit SpreadsRisk Modeling

0 likes · 9 min read

Paper Summaries: Recent AI-Driven Finance Research (Sep 20‑26, 2025)

Bighead's Algorithm Notes

Sep 25, 2025 · Artificial Intelligence

How MARS Uses Risk‑Aware Multi‑Agent RL to Master Portfolio Management

This article reviews the MARS framework, a risk‑aware multi‑agent reinforcement‑learning system for automated portfolio management that tackles market non‑stationarity and proactive risk control, detailing its hierarchical architecture, formal MDP formulation, training process, and superior experimental results on DJIA and HSI benchmarks.

Multi-agentdeep learningfinancial markets

0 likes · 13 min read

How MARS Uses Risk‑Aware Multi‑Agent RL to Master Portfolio Management

Bighead's Algorithm Notes

Sep 23, 2025 · Artificial Intelligence

One-Embedding-Fits-All: Selecting the Best Time-Series Forecasting Model from a Model Zoo

The paper introduces ZooCast, a framework that builds a model zoo of time‑series foundation models and uses a One‑Embedding‑Fits‑All paradigm to embed models and tasks into a unified space, enabling efficient zero‑shot selection that outperforms single models and full‑model ensembles on the GIFT‑Eval benchmark while remaining computationally lightweight.

GIFT-EvalOne-Embedding-Fits-AllTSFM

0 likes · 10 min read

One-Embedding-Fits-All: Selecting the Best Time-Series Forecasting Model from a Model Zoo

Bighead's Algorithm Notes

Sep 21, 2025 · Artificial Intelligence

FinKario: Event‑Enhanced Financial Knowledge Graphs Boost A‑Share Sharpe Ratio to 4.9

This article reviews the FinKario paper, which introduces an event‑augmented financial knowledge graph and a two‑stage RAG retrieval strategy that together enable real‑time knowledge updates and efficient integration of long‑form research reports, yielding a Sharpe ratio of 4.9 and outperforming baseline LLMs and institutional strategies in back‑testing.

FinKarioLLMRAG

0 likes · 10 min read

FinKario: Event‑Enhanced Financial Knowledge Graphs Boost A‑Share Sharpe Ratio to 4.9

Bighead's Algorithm Notes

Sep 20, 2025 · Artificial Intelligence

Recent Time-Series Paper Summaries (Sep 13‑19, 2025)

This article summarizes four recent time‑series forecasting papers, covering a universal delay‑embedding foundation model, a dual causal network that leverages exogenous variables, a distribution‑aware alignment plug‑in called TimeAlign, and a shapelet‑based framework for interpretable directional forecasting in noisy financial markets.

causal networkfinancial marketsforecasting

0 likes · 9 min read

Recent Time-Series Paper Summaries (Sep 13‑19, 2025)

Bighead's Algorithm Notes

Sep 20, 2025 · Artificial Intelligence

Weekly Quantitative Finance Paper Digest (Sep 13‑19, 2025)

This digest summarizes seven recent arXiv papers that apply reinforcement learning, multi‑agent frameworks, dynamic factor models, high‑frequency trading LLMs, quantum GANs, multi‑LLM sentiment analysis, and context‑aware language models to advance quantitative finance and AI‑driven market prediction.

large language modelsmulti-agent systemsportfolio optimization

0 likes · 12 min read

Weekly Quantitative Finance Paper Digest (Sep 13‑19, 2025)