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Financial Analysis

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Han-Yuan-Med/Language-Models-for-Finance

공식 코드

Exploring the Reliability of Self-explanation and its Relationship with Classification in Language Model-driven Financial Analysis

https://github.com/Secure-and-Intelligent-Systems-Lab/WPMixer

공식 코드

WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting

https://github.com/YY0649/ICE-PIXIU

공식 코드

No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks

https://github.com/YukiBear426/AEFIN

공식 코드

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism

https://github.com/ai4finance-foundation/finrobot

공식 코드

FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models

https://github.com/alphafin-proj/alphafin

공식 코드

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework

https://github.com/beanmah/egsteal

공식 코드

How Explanations Leak the Decision Logic: Stealing Graph Neural Networks via Explanation Alignment

https://github.com/eric991005/multitask-stockformer

공식 코드

Stockformer: A Price-Volume Factor Stock Selection Model Based on Wavelet Transform and Multi-Task Self-Attention Networks

https://github.com/eric991005/stockformer

공식 코드

Stockformer: A Price-Volume Factor Stock Selection Model Based on Wavelet Transform and Multi-Task Self-Attention Networks

https://github.com/gasolsun36/apollo

공식 코드

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning

https://github.com/jindongwang/transferlearning

공식 코드

AdaRNN: Adaptive Learning and Forecasting of Time Series

https://github.com/sakanaai/edinet-bench

공식 코드

EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements

https://github.com/sakanaai/edinet2dataset

공식 코드

EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements

https://github.com/the-finai/pixiu

공식 코드

No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks

https://github.com/tongjifinlab/cfgpt

공식 코드

CFGPT: Chinese Financial Assistant with Large Language Model

https://github.com/xll0328/timesieve

공식 코드

TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks

https://github.com/zdong104/fnspid

공식 코드

FNSPID: A Comprehensive Financial News Dataset in Time Series

https://huggingface.co/datasets/sohomghosh/MiMIC_Multi-Modal_Indian_Earnings_Calls_Dataset

공식 코드

MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices

https://github.com/aitomatic/openssa

DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy

https://github.com/baoyujing/NET3

Network of Tensor Time Series

https://github.com/benstaf/finrl_deepseek

FNSPID: A Comprehensive Financial News Dataset in Time Series

https://github.com/gasolsun36/dynamicrag

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning

https://github.com/gasolsun36/iter-cot

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning

https://github.com/lastmile-ai/aiconfig/tree/main/cookbooks/Chain-of-Verification

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

https://github.com/microsoft/qlib/tree/main/examples/benchmarks/ADARNN

AdaRNN: Adaptive Learning and Forecasting of Time Series

https://github.com/ruijian-zha/finrl-dapo-sr

FNSPID: A Comprehensive Financial News Dataset in Time Series

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