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43 | 7 | The main functions are as follows. 8 | 9 | * Stock Symbol listings: 'KRX' ('KOSPI', 'KODAQ', 'KONEX'), 'NASDAQ', 'NYSE', 'AMEX' and 'S&P500' 10 | * KRX delistings: 'KRX-DELISTING' 11 | * ETF Symbol listings: Support for ETF lists for multiple countries ('KR', 'US', 'JP') 12 | * Stock price(KRX): '005930'(Samsung), '091990'(Celltrion Healthcare) ... 13 | * Stock price(Word wide): 'AAPL', 'AMZN', 'GOOG' ... (you can specify exchange(market) and symbol) 14 | * Indexes: 'KOSPI', 'KOSDAQ', 'DJI', 'IXIC', 'US500'(S&P 500) ... 15 | * Exchanges: 'USD/KRX', 'USD/EUR', 'CNY/KRW' ... 16 | * Cryptocurrency price data: 'BTC/USD' (Bitfinex), 'BTC/KRW' (Bithumb) 17 | 18 | # Install 19 | 20 | ```bash 21 | pip install finance-datareader 22 | ``` 23 | 24 | # Quick Start 25 | 26 | ```python 27 | import FinanceDataReader as fdr 28 | 29 | # Apple(AAPL), 2017-01-01 ~ Now 30 | df = fdr.DataReader('AAPL', '2017') 31 | 32 | # Ford(F), 1980-01-01 ~ 2019-12-30 (40 years) 33 | df = fdr.DataReader('F', '1980-01-01', '2019-12-30') 34 | 35 | # AMAZON(AMZN), 2017 36 | df = fdr.DataReader('AMZN', '2017-01-01', '2019-12-31') 37 | 38 | # Samsung(005930), 1992-01-01 ~ 2018-10-31 39 | df = fdr.DataReader('068270', '1992-01-01', '2019-10-31') 40 | 41 | # country code: ex) 000150: Doosan(KR), Yihua Healthcare(CN) 42 | df = fdr.DataReader('000150', '2018-01-01', '2019-10-30') # KRX 43 | df = fdr.DataReader('000150', '2018-01-01', '2019-10-30', exchange='KRX') # KRX 44 | df = fdr.DataReader('000150', '2018-01-01', '2019-10-30', exchange='SZSE') # SZSE 45 | df = fdr.DataReader('000150', '2018-01-01', '2019-10-30', exchange='심천') # SZSE 46 | 47 | # KRX delisting stock data 상장폐지 종목 데이터 (상장일~상장폐지일) 48 | df = fdr.DataReader('036360', exchange='krx-delisting') 49 | 50 | # KOSPI index, 2015 ~ Now 51 | ks11 = fdr.DataReader('KS11', '2015-01-01') 52 | 53 | # Dow Jones Industrial(DJI), 2015 ~ Now 54 | dji = fdr.DataReader('DJI', '2015-01-01') 55 | 56 | # USD/KRW, 1995~Now 57 | usdkrw = fdr.DataReader('USD/KRW', '1995-01-01') 58 | 59 | # Bitcoin KRW price (Bithumbs), 2016 ~ Now 60 | btc = fdr.DataReader('BTC/KRW', '2016-01-01') 61 | 62 | # KRX stock symbol list and names 63 | krx = fdr.StockListing('KRX') 64 | 65 | # KRX stock delisting symbol list and names 상장폐지 종목 전체 리스트 66 | krx_delisting = fdr.StockListing('KRX-DELISTING') 67 | 68 | # S&P 500 symbol list 69 | sp500 = fdr.StockListing('S&P500') 70 | ``` 71 | 72 | ## Using FinanceDataReader 73 | * [Users-Guide](https://github.com/FinanceData/FinanceDataReader/wiki/Users-Guide) 74 | * [Quick-Reference (Symbol List)](https://github.com/FinanceData/FinanceDataReader/wiki/Quick-Reference) 75 | 76 | ## FinanceDataReader Notebooks 77 | * [S&P500 가격 데이터 수집과 수익률 분석](https://nbviewer.jupyter.org/710b8f0a4bd9a8df91ae1be6c7e838b1) 78 | * [S&P500 팩터 데이터 수집과 분석](https://nbviewer.jupyter.org/35a1b0d5248bc9b09513e53be437ac42) 79 | 80 | 81 | #### 2018-2020 [FinanceData.KR](http://financedata.kr) 82 | -------------------------------------------------------------------------------- /docs/_build/html/_static/translations.js: -------------------------------------------------------------------------------- 1 | Documentation.addTranslations({"locale": "ko", "messages": {"%(filename)s — %(docstitle)s": "", "© Copyright %(copyright)s.": "", "© Copyright %(copyright)s.": "", ", in ": "", "About these documents": "\uc774 \ubb38\uc11c \uc815\ubcf4", "Automatically generated list of changes in version %(version)s": "\ubc84\uc804 %(version)s\uc758 \ubcc0\uacbd \uc0ac\ud56d (\uc774 \ubaa9\ub85d\uc740 \uc790\ub3d9\uc73c\ub85c \uc0dd\uc131\ud569\ub2c8\ub2e4)", "C API changes": "C API\uc5d0 \ub300\ud55c \ubcc0\uacbd", "Changes in Version %(version)s — %(docstitle)s": "", "Collapse sidebar": "\uc0ac\uc774\ub4dc\ubc14 \ub2eb\uae30", "Complete Table of Contents": "\uc885\ud569 \ubaa9\ucc28", "Contents": "\ub0b4\uc6a9", "Copyright": "\uc800\uc791\uad8c", "Created using Sphinx %(sphinx_version)s.": "", "Expand sidebar": "\uc0ac\uc774\ub4dc\ubc14 \uc5f4\uae30", "From here you can search these documents. 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/investing/data.py:
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1 | from io import StringIO
2 | import json
3 | import requests
4 | import pandas as pd
5 | from pandas.io.json import json_normalize
6 | from FinanceDataReader._utils import (_convert_letter_to_num, _validate_dates)
7 |
8 | class InvestingDailyReader:
9 | def __init__(self, symbol, start=None, end=None, exchange=None, kind=None):
10 | self.symbol = symbol
11 | start, end = _validate_dates(start, end)
12 | self.start = start
13 | self.end = end
14 | self.exchange = exchange
15 | self.kind = kind
16 |
17 | def _get_currid_investing(self, symbol, exchange=None, kind=None):
18 | symbol = symbol.upper() if symbol else symbol
19 | exchange = exchange.upper() if exchange else exchange
20 |
21 | url = 'https://www.investing.com/search/service/searchTopBar'
22 | headers = {
23 | 'User-Agent':'Mozilla',
24 | 'X-Requested-With':'XMLHttpRequest',
25 | }
26 |
27 | # Exchage alias
28 | exchange_map = {
29 | 'KRX':'Seoul', '한국거래소':'Seoul',
30 | 'NASDAQ':'NASDAQ', '나스닥':'NASDAQ',
31 | 'NYSE':'NYSE', '뉴욕증권거래소':'NYSE',
32 | 'AMEX':'AMEX',
33 | 'SSE':'Shanghai', '상하이':'Shanghai', '상해':'Shanghai',
34 | 'SZSE':'Shenzhen', '심천':'Shenzhen',
35 | 'HKEX':'Hong Kong', '홍콩':'Hong Kong'
36 | }
37 | exchange = exchange_map[exchange] if exchange and exchange in exchange_map.keys() else exchange
38 |
39 | data = {'search_text': symbol}
40 | r = requests.post(url, data=data, headers=headers)
41 | jo = json.loads(r.text)
42 | if len(jo['quotes']) == 0:
43 | raise ValueError("Symbol('%s') not found" % symbol)
44 | df = json_normalize(jo['quotes'])
45 | df = df[df['exchange'].str.contains(exchange, case=False)] if exchange else df
46 | df = df[df['type'].str.contains(kind + ' - ', case=False)] if kind else df
47 |
48 | if len(df) == 0:
49 | raise ValueError("Symbol('%s'), Exchange('%s'), kind('%s') not found" % (symbol, exchange, kind))
50 | return df.iloc[0]['pairId']
51 |
52 | def read(self):
53 | start_date_str = self.start.strftime('%m/%d/%Y')
54 | end_date_str = self.end.strftime('%m/%d/%Y')
55 | curr_id = self._get_currid_investing(self.symbol, self.exchange, self.kind)
56 | if not curr_id:
57 | raise ValueError("Symbol unsupported or not found")
58 |
59 | url = 'https://www.investing.com/instruments/HistoricalDataAjax'
60 | data = {
61 | 'curr_id':curr_id,
62 | 'st_date': start_date_str,
63 | 'end_date': end_date_str,
64 | 'interval_sec':'Daily',
65 | 'sort_col':'date',
66 | 'sort_ord':'ASC',
67 | 'action':'historical_data',
68 | }
69 |
70 | headers = {
71 | 'User-Agent':'Mozilla',
72 | 'X-Requested-With':'XMLHttpRequest',
73 | }
74 |
75 | r = requests.post(url, data, headers=headers)
76 | dfs = pd.read_html(StringIO(r.text))
77 | df = dfs[0]
78 | if (len(df)==0) or ("No results found" == df.iloc[0]['Date']):
79 | return pd.DataFrame()
80 | df['Date'] = pd.to_datetime(df['Date'])
81 | df = df.set_index('Date')
82 | cols_dict = {'Price':'Close', 'Vol.':'Volume', 'Change %':'Change'}
83 | df = df.rename(columns=cols_dict)
84 | df['Change'] = df['Change'].str.replace(',', '')
85 | df['Change'] = df['Change'].str.rstrip('%').astype('float') / 100.0
86 | if 'Volume' in df.columns:
87 | df['Volume'] = df['Volume'].apply(_convert_letter_to_num)
88 | df = df.sort_index()
89 | return df
90 |
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49 |51 | From here you can search these documents. Enter your search 52 | words into the box below and click "search". Note that the search 53 | function will automatically search for all of the words. Pages 54 | containing fewer words won't appear in the result list. 55 |
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/docs/conf.py:
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1 | # -*- coding: utf-8 -*-
2 | #
3 | # Configuration file for the Sphinx documentation builder.
4 | #
5 | # This file does only contain a selection of the most common options. For a
6 | # full list see the documentation:
7 | # http://www.sphinx-doc.org/en/master/config
8 |
9 | # -- Path setup --------------------------------------------------------------
10 |
11 | # If extensions (or modules to document with autodoc) are in another directory,
12 | # add these directories to sys.path here. If the directory is relative to the
13 | # documentation root, use os.path.abspath to make it absolute, like shown here.
14 | #
15 | # import os
16 | # import sys
17 | # sys.path.insert(0, os.path.abspath('.'))
18 |
19 |
20 | # -- Project information -----------------------------------------------------
21 |
22 | project = 'FinanceDataReader'
23 | copyright = '2018, plusjune'
24 | author = 'plusjune'
25 |
26 | # The short X.Y version
27 | version = ''
28 | # The full version, including alpha/beta/rc tags
29 | release = '0.4.0'
30 |
31 |
32 | # -- General configuration ---------------------------------------------------
33 |
34 | # If your documentation needs a minimal Sphinx version, state it here.
35 | #
36 | # needs_sphinx = '1.0'
37 |
38 | # Add any Sphinx extension module names here, as strings. They can be
39 | # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
40 | # ones.
41 | extensions = [
42 | 'sphinx.ext.mathjax',
43 | 'sphinx.ext.viewcode',
44 | ]
45 |
46 | # Add any paths that contain templates here, relative to this directory.
47 | templates_path = ['_templates']
48 |
49 | # The suffix(es) of source filenames.
50 | # You can specify multiple suffix as a list of string:
51 | #
52 | # source_suffix = ['.rst', '.md']
53 | source_suffix = '.rst'
54 |
55 | # The master toctree document.
56 | master_doc = 'index'
57 |
58 | # The language for content autogenerated by Sphinx. Refer to documentation
59 | # for a list of supported languages.
60 | #
61 | # This is also used if you do content translation via gettext catalogs.
62 | # Usually you set "language" from the command line for these cases.
63 | language = 'ko'
64 |
65 | # List of patterns, relative to source directory, that match files and
66 | # directories to ignore when looking for source files.
67 | # This pattern also affects html_static_path and html_extra_path .
68 | exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
69 |
70 | # The name of the Pygments (syntax highlighting) style to use.
71 | pygments_style = 'sphinx'
72 |
73 |
74 | # -- Options for HTML output -------------------------------------------------
75 |
76 | # The theme to use for HTML and HTML Help pages. See the documentation for
77 | # a list of builtin themes.
78 | #
79 | html_theme = 'alabaster'
80 |
81 | # Theme options are theme-specific and customize the look and feel of a theme
82 | # further. For a list of options available for each theme, see the
83 | # documentation.
84 | #
85 | # html_theme_options = {}
86 |
87 | # Add any paths that contain custom static files (such as style sheets) here,
88 | # relative to this directory. They are copied after the builtin static files,
89 | # so a file named "default.css" will overwrite the builtin "default.css".
90 | html_static_path = ['_static']
91 |
92 | # Custom sidebar templates, must be a dictionary that maps document names
93 | # to template names.
94 | #
95 | # The default sidebars (for documents that don't match any pattern) are
96 | # defined by theme itself. Builtin themes are using these templates by
97 | # default: ``['localtoc.html', 'relations.html', 'sourcelink.html',
98 | # 'searchbox.html']``.
99 | #
100 | # html_sidebars = {}
101 |
102 |
103 | # -- Options for HTMLHelp output ---------------------------------------------
104 |
105 | # Output file base name for HTML help builder.
106 | htmlhelp_basename = 'FinanceDataReaderdoc'
107 |
108 |
109 | # -- Options for LaTeX output ------------------------------------------------
110 |
111 | latex_elements = {
112 | # The paper size ('letterpaper' or 'a4paper').
113 | #
114 | # 'papersize': 'letterpaper',
115 |
116 | # The font size ('10pt', '11pt' or '12pt').
117 | #
118 | # 'pointsize': '10pt',
119 |
120 | # Additional stuff for the LaTeX preamble.
121 | #
122 | # 'preamble': '',
123 |
124 | # Latex figure (float) alignment
125 | #
126 | # 'figure_align': 'htbp',
127 | }
128 |
129 | # Grouping the document tree into LaTeX files. List of tuples
130 | # (source start file, target name, title,
131 | # author, documentclass [howto, manual, or own class]).
132 | latex_documents = [
133 | (master_doc, 'FinanceDataReader.tex', 'FinanceDataReader Documentation',
134 | 'plusjune', 'manual'),
135 | ]
136 |
137 |
138 | # -- Options for manual page output ------------------------------------------
139 |
140 | # One entry per manual page. List of tuples
141 | # (source start file, name, description, authors, manual section).
142 | man_pages = [
143 | (master_doc, 'financedatareader', 'FinanceDataReader Documentation',
144 | [author], 1)
145 | ]
146 |
147 |
148 | # -- Options for Texinfo output ----------------------------------------------
149 |
150 | # Grouping the document tree into Texinfo files. List of tuples
151 | # (source start file, target name, title, author,
152 | # dir menu entry, description, category)
153 | texinfo_documents = [
154 | (master_doc, 'FinanceDataReader', 'FinanceDataReader Documentation',
155 | author, 'FinanceDataReader', 'One line description of project.',
156 | 'Miscellaneous'),
157 | ]
158 |
159 |
160 | # -- Extension configuration -------------------------------------------------
161 |
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/docs/_build/html/tickers.html:
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1 |
2 |
4 |
5 |
6 |
7 |
8 |
9 |
31 |
73 |
102 |
103 |
32 |
72 |
33 |
34 |
71 |
35 |
37 |
67 |
68 |
69 |
70 | 티커 코드¶
36 || A | 44 |B | 45 |A and B | 46 |
|---|---|---|
| False | 50 |False | 51 |False | 52 |
| True | 54 |False | 55 |False | 56 |
| False | 58 |True | 59 |False | 60 |
| True | 62 |True | 63 |True | 64 |
31 |
165 |
176 |
177 |
178 |
179 |
180 |
181 |
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/docs/_build/html/_static/doctools.js:
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1 | /*
2 | * doctools.js
3 | * ~~~~~~~~~~~
4 | *
5 | * Sphinx JavaScript utilities for all documentation.
6 | *
7 | * :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS.
8 | * :license: BSD, see LICENSE for details.
9 | *
10 | */
11 |
12 | /**
13 | * select a different prefix for underscore
14 | */
15 | $u = _.noConflict();
16 |
17 | /**
18 | * make the code below compatible with browsers without
19 | * an installed firebug like debugger
20 | if (!window.console || !console.firebug) {
21 | var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
22 | "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
23 | "profile", "profileEnd"];
24 | window.console = {};
25 | for (var i = 0; i < names.length; ++i)
26 | window.console[names[i]] = function() {};
27 | }
28 | */
29 |
30 | /**
31 | * small helper function to urldecode strings
32 | */
33 | jQuery.urldecode = function(x) {
34 | return decodeURIComponent(x).replace(/\+/g, ' ');
35 | };
36 |
37 | /**
38 | * small helper function to urlencode strings
39 | */
40 | jQuery.urlencode = encodeURIComponent;
41 |
42 | /**
43 | * This function returns the parsed url parameters of the
44 | * current request. Multiple values per key are supported,
45 | * it will always return arrays of strings for the value parts.
46 | */
47 | jQuery.getQueryParameters = function(s) {
48 | if (typeof s === 'undefined')
49 | s = document.location.search;
50 | var parts = s.substr(s.indexOf('?') + 1).split('&');
51 | var result = {};
52 | for (var i = 0; i < parts.length; i++) {
53 | var tmp = parts[i].split('=', 2);
54 | var key = jQuery.urldecode(tmp[0]);
55 | var value = jQuery.urldecode(tmp[1]);
56 | if (key in result)
57 | result[key].push(value);
58 | else
59 | result[key] = [value];
60 | }
61 | return result;
62 | };
63 |
64 | /**
65 | * highlight a given string on a jquery object by wrapping it in
66 | * span elements with the given class name.
67 | */
68 | jQuery.fn.highlightText = function(text, className) {
69 | function highlight(node, addItems) {
70 | if (node.nodeType === 3) {
71 | var val = node.nodeValue;
72 | var pos = val.toLowerCase().indexOf(text);
73 | if (pos >= 0 &&
74 | !jQuery(node.parentNode).hasClass(className) &&
75 | !jQuery(node.parentNode).hasClass("nohighlight")) {
76 | var span;
77 | var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
78 | if (isInSVG) {
79 | span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
80 | } else {
81 | span = document.createElement("span");
82 | span.className = className;
83 | }
84 | span.appendChild(document.createTextNode(val.substr(pos, text.length)));
85 | node.parentNode.insertBefore(span, node.parentNode.insertBefore(
86 | document.createTextNode(val.substr(pos + text.length)),
87 | node.nextSibling));
88 | node.nodeValue = val.substr(0, pos);
89 | if (isInSVG) {
90 | var bbox = span.getBBox();
91 | var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
92 | rect.x.baseVal.value = bbox.x;
93 | rect.y.baseVal.value = bbox.y;
94 | rect.width.baseVal.value = bbox.width;
95 | rect.height.baseVal.value = bbox.height;
96 | rect.setAttribute('class', className);
97 | var parentOfText = node.parentNode.parentNode;
98 | addItems.push({
99 | "parent": node.parentNode,
100 | "target": rect});
101 | }
102 | }
103 | }
104 | else if (!jQuery(node).is("button, select, textarea")) {
105 | jQuery.each(node.childNodes, function() {
106 | highlight(this, addItems);
107 | });
108 | }
109 | }
110 | var addItems = [];
111 | var result = this.each(function() {
112 | highlight(this, addItems);
113 | });
114 | for (var i = 0; i < addItems.length; ++i) {
115 | jQuery(addItems[i].parent).before(addItems[i].target);
116 | }
117 | return result;
118 | };
119 |
120 | /*
121 | * backward compatibility for jQuery.browser
122 | * This will be supported until firefox bug is fixed.
123 | */
124 | if (!jQuery.browser) {
125 | jQuery.uaMatch = function(ua) {
126 | ua = ua.toLowerCase();
127 |
128 | var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
129 | /(webkit)[ \/]([\w.]+)/.exec(ua) ||
130 | /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
131 | /(msie) ([\w.]+)/.exec(ua) ||
132 | ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
133 | [];
134 |
135 | return {
136 | browser: match[ 1 ] || "",
137 | version: match[ 2 ] || "0"
138 | };
139 | };
140 | jQuery.browser = {};
141 | jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
142 | }
143 |
144 | /**
145 | * Small JavaScript module for the documentation.
146 | */
147 | var Documentation = {
148 |
149 | init : function() {
150 | this.fixFirefoxAnchorBug();
151 | this.highlightSearchWords();
152 | this.initIndexTable();
153 |
154 | },
155 |
156 | /**
157 | * i18n support
158 | */
159 | TRANSLATIONS : {},
160 | PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; },
161 | LOCALE : 'unknown',
162 |
163 | // gettext and ngettext don't access this so that the functions
164 | // can safely bound to a different name (_ = Documentation.gettext)
165 | gettext : function(string) {
166 | var translated = Documentation.TRANSLATIONS[string];
167 | if (typeof translated === 'undefined')
168 | return string;
169 | return (typeof translated === 'string') ? translated : translated[0];
170 | },
171 |
172 | ngettext : function(singular, plural, n) {
173 | var translated = Documentation.TRANSLATIONS[singular];
174 | if (typeof translated === 'undefined')
175 | return (n == 1) ? singular : plural;
176 | return translated[Documentation.PLURALEXPR(n)];
177 | },
178 |
179 | addTranslations : function(catalog) {
180 | for (var key in catalog.messages)
181 | this.TRANSLATIONS[key] = catalog.messages[key];
182 | this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
183 | this.LOCALE = catalog.locale;
184 | },
185 |
186 | /**
187 | * add context elements like header anchor links
188 | */
189 | addContextElements : function() {
190 | $('div[id] > :header:first').each(function() {
191 | $('\u00B6').
192 | attr('href', '#' + this.id).
193 | attr('title', _('Permalink to this headline')).
194 | appendTo(this);
195 | });
196 | $('dt[id]').each(function() {
197 | $('\u00B6').
198 | attr('href', '#' + this.id).
199 | attr('title', _('Permalink to this definition')).
200 | appendTo(this);
201 | });
202 | },
203 |
204 | /**
205 | * workaround a firefox stupidity
206 | * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
207 | */
208 | fixFirefoxAnchorBug : function() {
209 | if (document.location.hash && $.browser.mozilla)
210 | window.setTimeout(function() {
211 | document.location.href += '';
212 | }, 10);
213 | },
214 |
215 | /**
216 | * highlight the search words provided in the url in the text
217 | */
218 | highlightSearchWords : function() {
219 | var params = $.getQueryParameters();
220 | var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
221 | if (terms.length) {
222 | var body = $('div.body');
223 | if (!body.length) {
224 | body = $('body');
225 | }
226 | window.setTimeout(function() {
227 | $.each(terms, function() {
228 | body.highlightText(this.toLowerCase(), 'highlighted');
229 | });
230 | }, 10);
231 | $('
32 |
122 |
163 |
164 |
33 |
121 |
34 |
35 |
120 |
36 |
41 |
42 |
44 |
94 |
95 | 상장종목 목록 (거래소별)¶
37 |거래소 별로 상장종목 목록을 가져옵니다
38 |df = fdr.StockListing('KRX')
39 | df
40 | 여기에 사용할 수 있는 거래소 심볼은 다음과 같습니다
43 || 심볼 | 51 |거래소 | 52 |비고 | 53 |
|---|---|---|
| KRX | 57 |KRX 종목 전체 | 58 |KOSPI,KOSDAQ,KONEX 모두 | 59 |
| KOSPI | 61 |KOSPI 종목 | 62 |63 | |
| KOSDAQ | 65 |KOSDAQ 종목 | 66 |67 | |
| KONEX | 69 |KONEX 종목 | 70 |71 | |
| KONEX | 73 |KONEX 종목 | 74 |75 | |
| NASDAQ | 77 |나스닥 종목 | 78 |79 | |
| NYSE | 81 |뉴욕 증권거래소 종목 | 82 |83 | |
| AMEX | 85 |AMEX 종목 | 86 |87 | |
| SP500 | 89 |S&P 500 종목 | 90 |91 | |
96 |
112 | 가격 데이터¶
97 |
98 |
104 | 국내 주식¶
99 |-
100 |
- 단축 코드(6자리)를 사용합니다. 예를 들어, '005930'(삼성전자), '215600'(신라젠) 101 |
- 전체 코드는 fdr.StockListing('KRX') 를 통해 얻을 수 있습니다 102 |
105 |
111 | 미국 주식¶
106 |-
107 |
- 티커를 사용합니다. 예를 들어, 'AAPL'(애플), 'AMZN'(아마존), 'GOOG'(구글) 108 |
- NASDAQ 티커 전체는 fdr.StockListing('NASDAQ') 를 통해 얻을 수 있습니다 109 |
113 |
117 |
118 |
119 | 참고¶
114 |FinanceDataReader 사용자 안내서 115 | * https://financedata.github.io/posts/finance-data-reader-users-guide.html
116 |' + _('Hide Search Matches') + '
') 233 | .appendTo($('#searchbox')); 234 | } 235 | }, 236 | 237 | /** 238 | * init the domain index toggle buttons 239 | */ 240 | initIndexTable : function() { 241 | var togglers = $('img.toggler').click(function() { 242 | var src = $(this).attr('src'); 243 | var idnum = $(this).attr('id').substr(7); 244 | $('tr.cg-' + idnum).toggle(); 245 | if (src.substr(-9) === 'minus.png') 246 | $(this).attr('src', src.substr(0, src.length-9) + 'plus.png'); 247 | else 248 | $(this).attr('src', src.substr(0, src.length-8) + 'minus.png'); 249 | }).css('display', ''); 250 | if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) { 251 | togglers.click(); 252 | } 253 | }, 254 | 255 | /** 256 | * helper function to hide the search marks again 257 | */ 258 | hideSearchWords : function() { 259 | $('#searchbox .highlight-link').fadeOut(300); 260 | $('span.highlighted').removeClass('highlighted'); 261 | }, 262 | 263 | /** 264 | * make the url absolute 265 | */ 266 | makeURL : function(relativeURL) { 267 | return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL; 268 | }, 269 | 270 | /** 271 | * get the current relative url 272 | */ 273 | getCurrentURL : function() { 274 | var path = document.location.pathname; 275 | var parts = path.split(/\//); 276 | $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() { 277 | if (this === '..') 278 | parts.pop(); 279 | }); 280 | var url = parts.join('/'); 281 | return path.substring(url.lastIndexOf('/') + 1, path.length - 1); 282 | }, 283 | 284 | initOnKeyListeners: function() { 285 | $(document).keyup(function(event) { 286 | var activeElementType = document.activeElement.tagName; 287 | // don't navigate when in search box or textarea 288 | if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT') { 289 | switch (event.keyCode) { 290 | case 37: // left 291 | var prevHref = $('link[rel="prev"]').prop('href'); 292 | if (prevHref) { 293 | window.location.href = prevHref; 294 | return false; 295 | } 296 | case 39: // right 297 | var nextHref = $('link[rel="next"]').prop('href'); 298 | if (nextHref) { 299 | window.location.href = nextHref; 300 | return false; 301 | } 302 | } 303 | } 304 | }); 305 | } 306 | }; 307 | 308 | // quick alias for translations 309 | _ = Documentation.gettext; 310 | 311 | $(document).ready(function() { 312 | Documentation.init(); 313 | }); -------------------------------------------------------------------------------- /docs/_build/html/index.html: -------------------------------------------------------------------------------- 1 | 2 | 4 | 5 | 6 | 7 | 8 | 9 |
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3 | // Underscore is freely distributable under the MIT license.
4 | // Portions of Underscore are inspired or borrowed from Prototype,
5 | // Oliver Steele's Functional, and John Resig's Micro-Templating.
6 | // For all details and documentation:
7 | // http://documentcloud.github.com/underscore
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10 | h)&&!f--)break;g=!f}}d.pop();return g}var r=this,G=r._,n={},k=Array.prototype,o=Object.prototype,i=k.slice,H=k.unshift,l=o.toString,I=o.hasOwnProperty,w=k.forEach,x=k.map,y=k.reduce,z=k.reduceRight,A=k.filter,B=k.every,C=k.some,p=k.indexOf,D=k.lastIndexOf,o=Array.isArray,J=Object.keys,s=Function.prototype.bind,b=function(a){return new m(a)};if(typeof exports!=="undefined"){if(typeof module!=="undefined"&&module.exports)exports=module.exports=b;exports._=b}else r._=b;b.VERSION="1.3.1";var j=b.each=
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147 | FinanceDataReader¶
37 |FinanceDataReader, The Ultimate Financial Data Reader
38 |
39 |
49 | -
40 |
- 상장종목 목록 (거래소별) 41 |
- 가격 데이터 45 | 46 |
- 참고 47 |
50 |
62 | Features¶
51 |금융 데이터를 다루는데 가장 기본이 되는 데이터는 거래소별 전체 종목 코드와 가격 데이터입니다.
52 |FinanceDataReader는 pandas-datareader 를 대체하기 보다 보완하기 위한 목적으로 만들어졌으며, 주요한 기능은 다음과 같습니다.
53 |-
54 |
- 해외주식 가격: AAPL(애플), AMZN(아마존), GOOG(구글) 등 55 |
- 국내주식 가격: 005930(삼성전자), 091990(셀트리온헬스케어) 등 56 |
- 지수: KS11(코스피), KQ11(코스닥), DJI(다우), IXIC(나스닥), US500(S&P 500) 57 |
- 환율: USD/KRX (원달러), USD/EUR(달러/유로화), CNY/KRW: 위엔화/원화 58 |
- 암호화폐: BTC/USD (비트코인/달러, Bitfinex), BTC/KRW (비트코인/원화, 빗썸) 59 |
- 거래소별 전체 종목 코드: KRX, NASDAQ, NYSE, AMEX, S&P 500 종목 60 |
63 |
66 |
67 |
68 | Installation¶
64 |pip install -U finance-datareader
65 |
69 |
76 |
77 |
78 | 설치 (wheel 설치)¶
70 |망분리 혹은 방화벽등의 이슈로 pip로 설치가어려운 경우 아래 디렉토리에서 whl 파일을 다운로드합니다.
71 |72 |73 |
.whl 파일을 다음과 같이 pip로 설치합니다.
74 |pip install finance_datareader-x.x.x-py3-none-any.whl
75 |
79 |
115 | Quick Start¶
80 |
81 |
88 |
89 |
90 | 종목과 종목코드 읽기¶
82 |# 한국거래소 상장종목과 코드명 전체
83 | df_krx = fdr.StockListing('KRX')
84 |
85 | # S&P 500 종목과 코드명 전체
86 | df_spx = fdr.StockListing('S&P500')
87 |
91 |
112 |
113 |
114 | 가격 데이터 읽기¶
92 |import FinanceDataReader as fdr
93 |
94 | # 애플(AAPL), 2017-01-01 ~ 현재
95 | df = fdr.DataReader('AAPL', '2017')
96 |
97 | # 셀트리온(068270), 2017-01-01 ~ 2018-05-30
98 | df = fdr.DataReader('068270', '2017-01-01', '2018-05-30')
99 |
100 | # KS11 (KOSPI 지수), 2015-01-01~현재
101 | df = fdr.DataReader('KS11', '2015')
102 |
103 | # 다우지수, 2015년~현재
104 | df = fdr.DataReader('DJI', '2015-01-01')
105 |
106 | # 원달러 환율, 1995-01-01 ~ 현재
107 | df = fdr.DataReader('USD/KRW', '1995')
108 |
109 | # 비트코인 원화 가격 (빗썸), 2016년~현재
110 | df = fdr.DataReader('BTC/KRW', '2016')
111 |
116 |
125 | Release¶
117 |2018-05-17 v0.2.0 118 | - StockListing, SP500 (S&P 500 Listings, wikipedia), 추가
119 |2018-05-16 v0.1.0 120 | - StockListing KRX, KOSPI, KODAQ, KONEX, 추가 121 | - StockListing NASDAQ, NYSE, AMEX, 추가
122 |2018-05-14 v0.0.1 123 | - DataReader 국내/매국 주가 데이터, 추가
124 |
126 |
132 | Contribute¶
127 |제안, 버그, 개선, 질문 등 이슈는 다음에 등록해 주시면 개선하는데 큰 도움이 됩니다
128 |-
129 |
- 이슈 트래커: https://github.com/FinanceData/FinanceDataReader/issues 130 |
133 |
136 | license¶
134 |MIT license를 따릅니다
135 |' + _('Searching') + '
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\ 701 |``code``, \ 704 | code blocks:::and an indented block after blank line