All Projects → josw123 → Dart Fss

josw123 / Dart Fss

Licence: mit
한국 금융감독원에서 운영하는 다트(Dart) 시스템 크롤링을 위한 라이브러리

Programming Languages

python
139335 projects - #7 most used programming language
python3
1442 projects

Labels

Projects that are alternatives of or similar to Dart Fss

Pipeline Live
Pipeline Extension for Live Trading
Stars: ✭ 154 (-12.99%)
Mutual labels:  finance
Bdgt
Big finance tools in a small package
Stars: ✭ 159 (-10.17%)
Mutual labels:  finance
Ynab Sdk Js
YNAB API JavaScript Library
Stars: ✭ 167 (-5.65%)
Mutual labels:  finance
Pyportfolioopt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Stars: ✭ 2,502 (+1313.56%)
Mutual labels:  finance
Bot18
Bot18 is a high-frequency cryptocurrency trading bot developed by Zenbot creator @carlos8f
Stars: ✭ 157 (-11.3%)
Mutual labels:  finance
Presentations
Slide show presentations regarding data driven investing.
Stars: ✭ 162 (-8.47%)
Mutual labels:  finance
Py Market Profile
A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
Stars: ✭ 153 (-13.56%)
Mutual labels:  finance
Fireflymobile
Mobile Application for Firefly III written in Kotlin
Stars: ✭ 172 (-2.82%)
Mutual labels:  finance
Algorithmictrading
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
Stars: ✭ 157 (-11.3%)
Mutual labels:  finance
Mixture model trading public
Stars: ✭ 166 (-6.21%)
Mutual labels:  finance
Datagene
DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
Stars: ✭ 156 (-11.86%)
Mutual labels:  finance
Math Php
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Stars: ✭ 2,009 (+1035.03%)
Mutual labels:  finance
Learnpythonforresearch
This repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (-7.91%)
Mutual labels:  finance
Langxdblog
一名项目兼产品管理老鸟的心得体会
Stars: ✭ 153 (-13.56%)
Mutual labels:  finance
Alpha Mind
quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
Stars: ✭ 171 (-3.39%)
Mutual labels:  finance
Tiingo Python
Python REST Client for interacting with the Tiingo Financial Data API
Stars: ✭ 152 (-14.12%)
Mutual labels:  finance
Simfin
Simple financial data for Python
Stars: ✭ 162 (-8.47%)
Mutual labels:  finance
Machine Learning And Reinforcement Learning In Finance
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
Stars: ✭ 173 (-2.26%)
Mutual labels:  finance
Piecash
Pythonic interface to GnuCash SQL documents
Stars: ✭ 172 (-2.82%)
Mutual labels:  finance
Pandas Datareader
Extract data from a wide range of Internet sources into a pandas DataFrame.
Stars: ✭ 2,183 (+1133.33%)
Mutual labels:  finance

Dart-Fss

PyPI PyPI - Python Version Build Status Coverage Codacy Badge

대한민국 금융감독원에서 운영하는 다트(DART) 사이트 크롤링 및 재무제표 추출을 위한 라이브러리

Features

  • Open DART의 오픈 API를 이용한 전자공시 조회
  • DART의 전자공시 정보를 이용한 재무제표 추출

Installation

pip install dart-fss

Plugins

Usage

Dart API Key 설정

  • OPEN DART API 신청
  • 환경 변수 DART_API_KEY 설정 또는 패키지 사용전 아래와 같이 설정

Quick Starts

import dart_fss as dart

# Open DART API KEY 설정
api_key='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
dart.set_api_key(api_key=api_key)

# DART 에 공시된 회사 리스트 불러오기
corp_list = dart.get_corp_list()

# 삼성전자 검색
samsung = corp_list.find_by_corp_name('삼성전자', exactly=True)[0]

# 2012년부터 연간 연결재무제표 불러오기
fs = samsung.extract_fs(bgn_de='20120101')

# 재무제표 검색 결과를 엑셀파일로 저장 ( 기본저장위치: 실행폴더/fsdata )
fs.save()

주의사항

  • Open DART 및 DART 홈페이지의 경우 분당 100회 이상 요청시 서비스가 제한될 수 있음
  • 관련 공지사항: [FAQ]->[오픈API 이용한도는 어떻게 되나요?]

License

This project is licensed under the MIT License

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].