commit first

.gitattributes

@@ -0,0 +1,34 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,3 @@
+templates/news.html
+**/__pycache__/**
+news/**

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2022 sod723
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -0,0 +1,62 @@
+# Stock News Analysis
+
+This project uses Natural Language Processing (NLP) techniques and machine learning models to analyze stock news, extract valuable insights, and provide visualizations to help users make informed investment decisions.
+
+## Features
+1. Named Entity Recognition (NER) - This feature identifies and extracts important entities such as company names, people, and locations from news articles to help users stay up-to-date with the latest news related to their investments.
+2. Tk-instruct Model - This feature allows users to ask questions about the stock market and receive answers in a conversational format. The Tk-instruct model uses machine learning algorithms to understand natural language queries and provides relevant information to the user.
+3. Stock Chart Visualization - This feature provides users with an interactive chart that visualizes the historical performance of a stock. Users can customize the time frame and chart settings to view the information that is most relevant to them.
+4. News Crawler - This feature enables users to keep track of the latest news related to their investments. The news crawler regularly scans news websites and automatically extracts articles that mention specific companies or industries.
+
+
+## Installation
+1. Clone the repository
+    ```console
+    git clone https://github.com/mdj1412/Stock_News_Analysis.git
+    ```
+2. Install the required packages
+    ```console
+    pip install -r requirements.txt
+    ```
+3. Run the application
+    ```console
+    python app.py
+    ```
+
+
+## Dependency
+* pandas
+* beautifulsoup4
+* Flask
+* torch
+* transformers
+* accelerate
+* bitsandbytes
+* spacy
+* yfinance
+
+
+## Demo
+* You can check a little faster through the demo [here](https://huggingface.co/spaces/mdj1412/stock_news_summaries_AI).
+
+
+## License
+This project is licensed under the MIT [License]() file for details.
+
+
+
+
+
+
+---
+title: Stock News Summaries AI
+emoji: 👁
+colorFrom: blue
+colorTo: red
+sdk: gradio
+sdk_version: 3.17.0
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,348 @@
+import os
+from bs4 import BeautifulSoup
+import pandas as pd
+
+from flask import Flask, jsonify, request, render_template
+
+import spacy
+from spacy import displacy
+
+# 모델을 적용시키는 파일
+from modules.inference import Tk_instruct
+
+# Stocks Data
+from dataset_creation.nasdaq_data import get_list, get_data
+
+
+# Flask Object 생성
+# __name__은 현재 실행 중인 모듈 이름을 전달하는 것이다.
+app = Flask(__name__)
+
+
+# def stocks() 사용 & News Data
+# Pandas DataFrame : ticker, name, sector, industry, diff, open, close, date
+demo_dic = get_list()
+
+
+
+
+
+##### Home #####
+@app.route('/')
+def home_page():
+    example_embed = 'This website analyzes stock market news and provides answers to questions related to news articles.'
+    return render_template('index.html', embed=example_embed)# html을 불러올 때,
+
+
+
+##### Data fetch #####
+@app.route('/submit', methods=['GET', 'POST'])
+def submit():
+    input_text = request.args.get('input_text')
+    return jsonify(result={"output":"My output is a summary of: "+input_text})
+
+
+
+
+@app.route('/model', methods=['GET', 'POST'])
+def model():
+    print("\t\t Start model !!!")
+
+    # Javascript 에서 받은 메시지
+    text_input = request.args.get('text_input')
+
+    print(f"Fetch from Javascript /inference, text_input : {text_input}")
+
+    # modules/reference.py 에서 모델 적용
+    output = Tk_instruct(text_input)
+    
+    text_output = {"text_output": output}
+    print(f"Fetch from Javascript /inference, text_output : {text_output}")
+    return jsonify(result=text_output)
+
+
+
+
+# Show Ticker's Table
+@app.route('/stocks', methods=['GET', 'POST'])
+def stocks():
+    result = demo_dic.to_dict() # dictionary 형태로 변환
+    return jsonify(result=result)
+
+
+
+
+
+
+
+
+
+################################################################################################
+
+
+# {ticker1: [{날짜1: [제목1, 제목2, ...]}, {날짜2: [제목3, 제목4, ...]}, ...], ticker2: [{날짜3: [제목5, 제목6, ...]}, {날짜4: [제목7, 제목8, ...]}, ...], ... }
+ticker_dic = dict.fromkeys(demo_dic.ticker, []) # ticker1: [{날짜1: [제목1, 제목2, ...]}
+
+
+
+dir = './news'
+if not os.path.exists(dir):
+    raise NotImplementedError("Not exists News Data")# 오류 강제 발생
+
+# News Data List 가져오기
+for key in os.listdir(dir):
+    if key not in ticker_dic.keys():
+        raise NotImplementedError("Not exists Ticker")# 오류 강제 발생
+
+    dir2 = os.path.join(dir, key)
+    ticker_dic[key] = dict.fromkeys(os.listdir(dir2), []) # 날짜1: [제목1, 제목2, ...]
+
+    for date in os.listdir(dir2):
+        dir3 = os.path.join(dir2, date)
+        title_list = [title for title in os.listdir(dir3)]
+
+        # 해당 날짜에 News가 없을 수도 있음
+        if len(title_list) != 0:
+            ticker_dic[key][date] = title_list # [제목1, 제목2, ...]
+        else:
+            ticker_dic[key].pop(date)
+
+
+# from IPython import embed; embed()
+
+
+
+# Show Ticker's Title
+@app.route('/<ticker>', methods=['GET', 'POST'])
+def ticker(ticker):
+    example_embed = "%s Chart" % (ticker)
+
+    return render_template('chart.html', embed=example_embed)
+
+
+# Show Ticker's Data
+@app.route('/chart', methods=['GET', 'POST'])
+def chart():
+    print("Start /chart ")
+
+    # Javascript 에서 받은 메시지
+    ticker = request.args.get('ticker')
+    
+    # Implement Module
+    chart_data = get_data(tickers=[ticker], numOfDay=120)[0]
+
+    # 날짜 형식 바꾸기
+    chart_data.index = [k.strftime("%Y-%m-%d") for k in chart_data.index]
+
+    result = chart_data.to_dict()
+    return jsonify(result=result)
+
+
+@app.route('/news', methods=['GET', 'POST'])
+def news():
+    print("Start /news ")
+
+    # Javascript 에서 받은 메시지
+    ticker = request.args.get('ticker')
+
+    news_dir = os.path.join('./news', ticker)
+
+    # 해당 Ticker의 날짜별 뉴스 제목을 가져온다.
+    result = {}
+    for key in os.listdir(news_dir):
+        title_list = os.listdir(os.path.join(news_dir, key))
+        if len(title_list) != 0:
+            result[key] = os.listdir(os.path.join(news_dir, key))
+
+    # 최근 뉴스부터 보이게 (정렬)
+    sorted_result = {}
+    for key, value in sorted(result.items(), reverse=True):
+        sorted_result[key] = value
+
+    return jsonify(result=sorted_result)
+    
+
+
+
+
+################################################################################################
+
+# 1. 기본 url
+# 2. 쿼리 스트링이 존재하는 url
+#       : request.args.get('변수이름')을 사용하여 /user?변수=값&변수=값&...에서 원하는 변수의 값을 얻을 수 있다.
+# 3. clean URL
+
+
+
+# Show Ticker's Title and News's Title
+@app.route('/info', methods=['GET', 'POST'])
+def ticker_title():
+    print("app.py : /info Start ")
+
+    # Javascript 에서 받은 메시지
+    ticker = request.args.get('ticker')
+    date = request.args.get('date')
+    title = request.args.get('title')
+    andSymbolInTitle = request.args.get('andSymbolInTitle')
+
+
+    # Title 에서 '&'로 표시되어 있는데 따로 구별해야 된다.
+    # andSymbolInTitle 에서 가져온 '&' 위치 index를 title과 합쳐준다.
+    if andSymbolInTitle != '':
+        andSymbolInTitle = andSymbolInTitle.split(',')
+        for i in range(len(andSymbolInTitle)): # String -> int
+            andSymbolInTitle[i] = int(andSymbolInTitle[i])
+        for idx in andSymbolInTitle:
+            title = title[0:idx] + '&' + title[idx:len(title)]
+
+
+
+    # 해당 Ticker, Date, Title의 URL을 가져오기
+    url_dir = "dataset_creation/save_news_url.tsv"
+
+    if not os.path.exists(url_dir):
+        raise NotImplementedError("Not exists {} directory", url_dir)
+    else:
+        df = pd.read_csv(url_dir, sep='\t', index_col=0)
+    
+    filt = (df['ticker'] == ticker) & (df['date'] == date) & (df['title'] == title)
+    url = list(df.loc[filt, 'url'].values)
+
+    if len(url) != 1:
+        from IPython import embed; embed()
+        raise NotImplementedError("There exists many URL or empty")
+    else:
+        url = url[0]
+
+    example_embed1 = ticker
+    example_embed2 = "Date: %s" % (date)
+    example_embed3 = "Title: %s" % (title)
+    example_embed4 = url
+
+
+    return render_template('news_analysis.html', embed1=example_embed1, embed2=example_embed2, embed3=example_embed3, embed4=example_embed4)
+
+
+
+
+
+
+@app.route('/ner', methods=['GET', 'POST'])
+def ner():
+    print("Start /ner")
+
+    # Javascript 에서 받은 메시지
+    ticker = request.args.get('ticker')
+    date = request.args.get('date')
+    title = request.args.get('title')
+
+    print(ticker, date, title)
+
+    # 뉴스 데이터 위치 찾기 ( in directory )
+    dir = os.path.join('./news', ticker, date, title+'.txt')
+
+    f = open(dir, 'r')
+    news_data = f.read()
+
+
+
+    # NER
+    nlp = spacy.load("en_core_web_sm")
+    doc = nlp(news_data) # News Data Analysis
+
+
+    # 필요없는 용어들 버리기
+    print("=====================================================================")
+
+    ents = {'text': [], 'start_char': [], 'end_char': [], 'label_': []}
+    for ent in doc.ents:
+        # print(ent.text, ent.start_char, ent.end_char, ent.label_)
+
+        # 버리는 용어들
+        if ent.label_ == 'DATE':
+            continue
+        if ent.label_ == 'TIME':
+            continue
+        if ent.label_ == 'CARDINAL':
+            continue
+        if ent.label_ == 'MONEY':
+            continue
+        if ent.label_ == 'PERCENT':
+            continue
+        if ent.label_ == 'ORDINAL':
+            continue
+            
+
+        print(ent.text, ent.start_char, ent.end_char, ent.label_)
+
+        ents['text'].append(ent.text)
+        ents['start_char'].append(ent.start_char)
+        ents['end_char'].append(ent.end_char)
+        ents['label_'].append(ent.label_)
+
+    print("=====================================================================")
+
+    ents['news'] = news_data
+
+    # ents = {'text': [], 'start_char': [], 'end_char': [], 'label_': [], 'news': []}
+    return jsonify(result=ents)
+
+
+
+
+
+
+@app.route('/newsQuestions', methods=['GET', 'POST'])
+def newsQuestions():
+    # Javascript 에서 받은 메시지
+    ticker = request.args.get('ticker')
+    date = request.args.get('date')
+    title = request.args.get('title')
+    andSymbolInTitle = request.args.get('andSymbolInTitle')
+    questions = request.args.get('questions')
+
+
+
+    # Title 에서 '&'로 표시되어 있는데 따로 구별해야 된다.
+    # andSymbolInTitle 에서 가져온 '&' 위치 index를 title과 합쳐준다.
+    if andSymbolInTitle != '':
+        andSymbolInTitle = andSymbolInTitle.split(',')
+        for i in range(len(andSymbolInTitle)): # String -> int
+            andSymbolInTitle[i] = int(andSymbolInTitle[i])
+        for idx in andSymbolInTitle:
+            title = title[0:idx] + '&' + title[idx:len(title)]
+
+
+
+    # 뉴스 데이터 위치 찾기 ( in directory )
+    dir = os.path.join('./news', ticker, date, title+'.txt')
+
+    # 뉴슫 데이터 가져오기
+    f = open(dir, 'r')
+    text = f.read()
+    f.close()
+
+    # 모델 적용
+    answer = Tk_instruct(text, questions)
+
+    result = {}
+    result['answer'] = answer
+
+    return jsonify(result=result)
+
+
+
+# Terminal : Flask : 수정하면 터미널 재실행
+# Elements : HTML : 수정하면 터미널 재실행
+# Console : javascript : 사이트 동기화
+# Sources : File : 사이트 동기화
+# CSS : 사이트 동기화
+
+
+
+if __name__ == "__main__":
+    # run app
+    # host : 모든 IP에 대해 접근 허용, ( Default. localhost = 127.0.0.1 )
+    # port : 접속시 open될 http port, ( Default. port = 5000 )
+    app.run(host='0.0.0.0', port='7860') #http://0.0.0.0:5001
+    # app.run(debug=True) #http://0.0.0.0:5001

dataset_creation/SP500_crawling.py

@@ -0,0 +1,67 @@
+from bs4 import BeautifulSoup
+import urllib.request
+import pandas as pd
+
+url = "https://en.wikipedia.org/wiki/List_of_S%26P_500_companies"
+
+def get_SP500():
+    # Set List
+    SP500_list = []
+
+    # html 정보 가져오기
+    html = urllib.request.urlopen(url).read()
+    soup = BeautifulSoup(html, 'html.parser')
+
+    # html에서 table 정보 가져오기
+    table = soup.find("table", {"class": "wikitable sortable"})
+
+    for row in table.findAll("tr")[1:]:
+
+        ticker = get_ticker(row)
+        name = get_name(row)
+        sector = get_sector(row)
+        industry = get_industry(row)
+
+        SP500_list.append(return_comment_form(ticker, name, sector, industry))
+
+    return SP500_list
+
+
+
+
+
+def return_comment_form(ticker, name, sector, industry):
+    comment = {'ticker': ticker,
+               'name': name,
+               'sector' : sector,
+               'industry' : industry
+               }
+    return comment
+
+
+
+
+
+
+def get_ticker(row):
+    return row.select('td')[0].text.strip()
+
+def get_name(row):
+    return row.select('td')[1].text.strip()
+
+def get_sector(row):
+    return row.select('td')[3].text.strip()
+
+def get_industry(row):
+    return row.select('td')[4].text.strip()
+
+
+
+
+if __name__ == '__main__':
+    a = get_SP500()
+
+    print(pd.DataFrame(a))
+    print("Finish")
+
+

dataset_creation/crawling_nasdaq_news.py

@@ -0,0 +1,578 @@
+from bs4 import BeautifulSoup
+import urllib.request
+import pandas as pd
+from tqdm import trange
+import datetime
+import os
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+import nasdaq100_crawling
+
+nasdaq_url = "https://www.marketscreener.com/quote/index/NASDAQ-100-4946/components/col=7&asc=0&fpage={}"
+
+
+
+# Ticker 마다 뉴스 기사 목록 사이트 확인하기
+def get_codezb():
+    # Execute "nasdaq100_crawling" Module
+    nasdaq_dic = pd.DataFrame(nasdaq100_crawling.get_nasdaq100())
+    # Get Nasdaq 100 List
+    nasdaq100_codezb = pd.DataFrame(index=nasdaq_dic.ticker, columns=['url'])
+
+    count=0
+    for page in trange(1, 4):
+        print("page : ", page)
+        url = nasdaq_url.format(page)
+
+        # html 정보 가져오기
+        html = urllib.request.urlopen(url).read()
+        soup = BeautifulSoup(html, 'html.parser')
+
+        # 한 페이지에 50개 목록
+        row = soup.select('table [class="tabBodyLV17"] tr')
+        for idx in trange(1, len(row)):
+            count+=1
+            # 해당 회사의 url
+            idx_url = "https://www.marketscreener.com" + row[idx].select('td')[1].find('a')['href']
+
+            # html 정보 가져오기
+            idx_html = urllib.request.urlopen(idx_url).read()
+            idx_soup = BeautifulSoup(idx_html, 'html.parser')
+
+            ticker = idx_soup.select('span [class=fvTitleInfo]')[0].text
+
+            nasdaq100_codezb.loc[ticker, 'url'] = idx_url + "news-quality/"
+    
+    nasdaq100_codezb.to_csv('./dataset_creation/nasdaq_url.tsv', index=True, sep='\t')
+    print("{} / {}".format(count, len(nasdaq_dic.ticker)))
+    from IPython import embed; embed()
+
+
+
+
+# 문자열 길이 확인 그리고 뉴스 기사 길이
+def get_textLength_and_newsCount():
+    total_count=0
+    ranking = {}
+    newsTextLengthList = []
+
+    dir = './news'
+    for ticker in os.listdir(dir):
+        ticker_count=0
+        tickerTextLength_avg=0.0
+
+        dir2 = os.path.join(dir, ticker)
+        if ticker == ".DS_Store":
+                os.remove(dir2) #파일삭제
+                continue
+
+        for date in os.listdir(dir2):
+
+            dir3 = os.path.join(dir2, date)
+            if date == ".DS_Store":
+                os.remove(dir3) #파일삭제
+                continue
+
+            if date < "2023.01.01":
+                for title in os.listdir(dir3):
+                    remove_dic = os.path.join(dir3, title)
+                    os.remove(remove_dic) #파일삭제
+                os.rmdir(dir3) #해당 directory 삭제
+                continue
+
+            # print(date)
+            for title in os.listdir(dir3):
+                dir4=os.path.join(dir3, title)
+
+                f = open(dir4, 'r')
+                data = f.read()
+                length = len(data)
+
+                newsTextLengthList.append(length)
+                tickerTextLength_avg+=length
+                
+                ticker_count+=1
+                total_count+=1
+
+        avg = 0.0
+        if ticker_count != 0:
+            avg = tickerTextLength_avg/ticker_count
+        ranking[ticker]=[ticker_count, avg]
+
+    print("Ranking\t| Ticker\t| # of news\t| Average of News Text Length")
+    sorted_pairs = sorted(ranking.items(), key=lambda x: -x[1][0])
+    tickers, values = [], []
+    for i, (ticker, element) in enumerate(sorted_pairs, start=1):
+        tickers.append(ticker)
+        values.append(element[0])
+        print("{}\t{}\t{}\t{:.2f}".format(i, ticker, element[0], element[1]))
+
+
+
+    # Draw Graph
+    x = np.arange(len(os.listdir(dir)))
+
+    plt.figure(figsize=(14, 6)) # Size of Window
+
+    plt.bar(x=x, height=values, color='C2') # 막대그래프 그리기
+    plt.xticks(ticks=x, labels=tickers, rotation=90, fontsize=5) # X값 표시
+    plt.tick_params(axis='x', direction='in', length=3, pad=6, labelcolor='blue')
+
+    plt.title("Number of News Data ( NASDAQ 100 )") # Write Title
+    plt.xlabel('Tickers') # Write X-axis
+    plt.ylabel('# of News') # Write Y-axis
+    plt.show()
+
+    # Show Total Number of News and News Text Length
+    print("======================================================")
+    print("{} : {}".format("전체 뉴스 갯수", total_count))
+    
+    df = pd.DataFrame(ranking, index=["Number of News", "Average of News Text Length"])
+    df = df.transpose()
+    df.to_excel("dataset_creation/tickers_numAndAvg.xlsx")
+    print(df["Number of News"].describe())
+
+    text_length_df = pd.DataFrame(newsTextLengthList, columns=["News Text Length"])
+    print(text_length_df.describe())
+    text_length_df.to_excel("dataset_creation/textLength.xlsx")
+
+    from IPython import embed; embed()
+
+
+
+
+
+
+
+
+def get_news(tickers, boundary_date='2023.01.01'):
+    if not os.path.exists('./news'):
+        os.mkdir('./news')
+
+    # NASDAQ Tickers List 가져오기
+    nasdaq100_codezb = pd.read_csv('./dataset_creation/nasdaq_url.tsv', sep='\t', index_col='ticker')
+    nasdaq_tickers = list(nasdaq100_codezb.index)
+
+    total_count=0
+    for ticker in tickers:
+        num=0
+        print("============================== {} ==============================".format(ticker))
+        # 해당 Ticker 의 Directory 가 존재하는지 확인
+        if not os.path.exists('./news/' + ticker):
+            os.mkdir('./news/' + ticker)
+
+        # 해당 Ticker 가 NASDAQ Tickers List 에 존재하지 않을 때, 
+        if ticker not in nasdaq_tickers:
+            print("[ Check NASDAQ Tickers List ]")
+            print(ticker, "is not in NASDAQ 100")
+            from IPython import embed; embed()
+
+        # 해당 Ticker 가 News URL 을 가지고 있지 않을 때, 
+        if pd.isna(nasdaq100_codezb.loc[ticker, 'url']):
+            print("[ Check get_codezb() Method ]")
+            print(ticker, "has not News URL")
+
+            if ticker == "TEAM":
+                nasdaq100_codezb.loc[ticker, 'url']="https://www.marketscreener.com/quote/stock/ATLASSIAN-CORPORATION-25531314/news-quality/"
+            elif ticker == "BKR":
+                nasdaq100_codezb.loc[ticker, 'url']="https://www.marketscreener.com/quote/stock/BAKER-HUGHES-COMPANY-40311111/news-quality/"
+            elif ticker == "CSGP":
+                nasdaq100_codezb.loc[ticker, 'url']="https://www.marketscreener.com/quote/stock/COSTAR-GROUP-INC-8923/news-quality/"
+            elif ticker == "FANG":
+                nasdaq100_codezb.loc[ticker, 'url']="https://www.marketscreener.com/quote/stock/DIAMONDBACK-ENERGY-INC-11732858/news-quality/"
+            elif ticker == "ENPH":
+                nasdaq100_codezb.loc[ticker, 'url']="https://www.marketscreener.com/quote/stock/ENPHASE-ENERGY-INC-10335237/news-quality/"
+            elif ticker == "GFS":
+                nasdaq100_codezb.loc[ticker, 'url']="https://www.marketscreener.com/quote/stock/GLOBALFOUNDRIES-INC-128691269/news-quality/"
+            elif ticker == "RIVN":
+                nasdaq100_codezb.loc[ticker, 'url']="https://www.marketscreener.com/quote/stock/RIVIAN-AUTOMOTIVE-INC-129226108/news-quality/"
+            elif ticker == "WBD":
+                nasdaq100_codezb.loc[ticker, 'url']="https://www.marketscreener.com/quote/stock/WARNER-BROS-DISCOVERY-I-136094563/news-quality/"
+            else: from IPython import embed; embed()
+            
+
+
+
+        # 해당 Ticker News URL 가져오기
+        url = nasdaq100_codezb.loc[ticker, 'url'] + "&&fpage={}"
+
+        page=0
+        stop=False
+        while (True):
+            page+=1
+            print("URL : {}".format(url.format(page)))
+
+            # html 정보 가져오기
+            html = urllib.request.urlopen(url.format(page)).read()
+            soup = BeautifulSoup(html, 'html.parser')
+
+
+            # 한 페이지에 있는 뉴스 리스트
+            news_list = soup.select('td[class="std_txt th_inner"]')[0].select('table[class="tabBody"] tr')
+            for news in news_list:
+                # 1. Date
+                date = news.select('td')[0].text
+
+                if ':' in date:
+                    today = datetime.datetime.now()
+                    today = today.strftime("%Y.%m.%d")
+                    date = today
+                elif '/' in date:
+                    date = date.replace('/', '.')
+                    today = datetime.datetime.now()
+                    today = today.strftime("%Y")
+                    date = today + "." + date
+                else:
+                    # XXX : 전년도는 해결하지 못함
+                    date = date + ".12.12"#임시날짜
+
+
+                # boundary_date 이후만 크롤링
+                if date < boundary_date:
+                    stop=True
+                    break
+                
+
+
+                # 2. URL
+                news_url = "https://www.marketscreener.com/" + news.select('td')[1].select('a')[0]['href']
+                
+
+                # 3. Title
+                news_title = news.select('td')[1].text
+
+                if '…' in news_title:
+                    news_title = news_title.replace('/…', '')
+                if '/' in news_title:
+                    news_title = news_title.replace('/', '|')
+
+
+                # 4. News Form
+                news_form = news.select('td')[2].text
+
+
+                # A) 크롤링하기 전에, Directory 존재하는지 확인해보기
+                if not os.path.exists('./news/{}/{}'.format(ticker, date)):
+                    os.mkdir('./news/{}/{}'.format(ticker, date))
+
+
+                # B) 해당 Ticker, Date, Title의 URL을 따로 저장
+                save_news_url(ticker, date, news_url, news_title)
+
+
+                # C) 여기서부터 뉴스 내용 크롤링
+                if news_form == 'MT':
+                    # 제목만 있고 뉴스 기사는 없음
+                    # 일단 Pass
+                    pass
+
+                elif news_form == 'MD':
+                    get_md(ticker, date, news_url, news_title)
+                    num+=1
+
+                elif news_form == 'RE':
+                    get_re(ticker, date, news_url, news_title)
+                    num+=1
+
+                elif news_form == 'AQ':
+                    get_aq(ticker, date, news_url, news_title)
+                    num+=1
+
+                elif news_form == 'DJ':
+                    # 뉴스 기사들을 요약한 내용들을 모아둔거여서
+                    # 크롤링을 안해도 괜찮을 것 같음
+                    # => 일단 보류
+                    pass
+
+                elif (news_form == '') or (news_form == 'PR')or (news_form == 'PU'):
+                    get_(ticker, date, news_url, news_title)
+                    num+=1
+
+                elif news_form == 'AN':
+                    get_an(ticker, date, news_url, news_title)
+                    num+=1
+
+                elif news_form == 'CI':
+                    # 구독을 해야지 확인할 수 있음
+                    # 크롤링이 안됨
+                    pass
+
+                elif news_form == 'BU':
+                    get_bu(ticker, date, news_url, news_title)
+                    num+=1
+
+                else:
+                    print('Pass. {}'.format(news_form))
+                    continue
+                    
+            if stop: break
+        print("\nNumber of Crawling News : {}".format(num))
+        total_count+=num
+    
+    return total_count
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+# 해당 Ticker, Date, Title의 URL을 따로 저장
+def save_news_url(ticker, date, url, title):
+    dir = "dataset_creation/save_news_url.tsv"
+
+    if not os.path.exists(dir):
+        df = pd.DataFrame(columns=['ticker', 'date', 'title', 'url'])
+    else:
+        df = pd.read_csv(dir, sep='\t', index_col=0)
+
+    filt = (df['ticker'] == ticker) & (df['date'] == date) & (df['title'] == title)
+
+    # 처음으로 저장할 때
+    if len(df[filt]) == 0:
+        df.loc[len(df)] = [ticker, date, title, url]
+    # 기존에 저장되어 있었다면, 다시 업데이트
+    else:
+        df.loc[filt, 'url'] = url
+
+    df.to_csv(dir, sep='\t')
+    
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+def get_md(ticker, date, url, title):
+    # 제목이 존재한다면, Pass
+    if os.path.exists('./news/{}/{}/{}.txt'.format(ticker, date, title)):
+        return
+
+    # html 정보 가져오기
+    html = urllib.request.urlopen(url).read()
+    soup = BeautifulSoup(html, 'html.parser')
+
+    # 검사
+    a=soup.select('span[class=clearfix]')
+    if len(a) != 1:
+        print("ticker : {}, date : {}, url : {}, title : {}".format(ticker, date, url, title))
+        from IPython import embed; embed()
+        return
+    a=soup.select('span[class=clearfix]')[0].select('div[id=grantexto]')
+    if len(a) != 1:
+        print("ticker : {}, date : {}, url : {}, title : {}".format(ticker, date, url, title))
+        from IPython import embed; embed()
+        return
+    a=soup.select('span[class=clearfix]')[0].select('div[id=grantexto]')[0].select('p')
+    if len(a) != 1:
+        print("ticker : {}, date : {}, url : {}, title : {}".format(ticker, date, url, title))
+        from IPython import embed; embed()
+        return
+
+    # 시작
+    text = soup.select('span[class=clearfix]')[0].select('div[id=grantexto]')[0].select('p')[0].text
+
+    file = open('./news/{}/{}/{}.txt'.format(ticker, date, title), 'w')
+    file.write(text)
+    file.close()
+
+
+
+def get_re(ticker, date, url, title):
+    # 제목이 존재한다면, Pass
+    if os.path.exists('./news/{}/{}/{}.txt'.format(ticker, date, title)):
+        return
+
+    # html 정보 가져오기
+    html = urllib.request.urlopen(url).read()
+    soup = BeautifulSoup(html, 'html.parser')
+
+    # 검사
+    a=soup.select('div[id=grantexto]')
+    if len(a) != 1:
+        print("ticker : {}, date : {}, url : {}, title : {}".format(ticker, date, url, title))
+        from IPython import embed; embed()
+
+    # 시작
+    text_list=soup.select('div[id=grantexto] p')
+    text = ''
+    for i in range(len(text_list)):
+        text = text + text_list[i].text
+
+    file = open('./news/{}/{}/{}.txt'.format(ticker, date, title), 'w')
+    file.write(text)
+    file.close()
+
+
+
+def get_aq(ticker, date, url, title):
+    # 제목이 존재한다면, Pass
+    if os.path.exists('./news/{}/{}/{}.txt'.format(ticker, date, title)):
+        return
+
+    # html 정보 가져오기
+    html = urllib.request.urlopen(url).read()
+    soup = BeautifulSoup(html, 'html.parser')
+
+    # 검사
+    a=soup.select('div[id=grantexto]')
+    if len(a) != 1:
+        print("ticker : {}, date : {}, url : {}, title : {}".format(ticker, date, url, title))
+        from IPython import embed; embed()
+
+    # 시작
+    text_list=soup.select('div[id=grantexto] p')
+    text = ''
+    for i in range(len(text_list)):
+        text = text + text_list[i].text
+
+    file = open('./news/{}/{}/{}.txt'.format(ticker, date, title), 'w')
+    file.write(text)
+    file.close()
+
+
+
+
+def get_(ticker, date, url, title):
+    # 제목이 존재한다면, Pass
+    if os.path.exists('./news/{}/{}/{}.txt'.format(ticker, date, title)):
+        return
+
+    # html 정보 가져오기
+    html = urllib.request.urlopen(url).read()
+    soup = BeautifulSoup(html, 'html.parser')
+
+    # 검사
+    a=soup.select('div[id=grantexto]')
+    if len(a) != 1:
+        print("ticker : {}, date : {}, url : {}, title : {}".format(ticker, date, url, title))
+        from IPython import embed; embed()
+    
+    # 시작
+    text = a[0].text
+
+    file = open('./news/{}/{}/{}.txt'.format(ticker, date, title), 'w')
+    file.write(text)
+    file.close()
+
+
+
+def get_an(ticker, date, url, title):
+    # 제목이 존재한다면, Pass
+    if os.path.exists('./news/{}/{}/{}.txt'.format(ticker, date, title)):
+        return
+
+    # html 정보 가져오기
+    html = urllib.request.urlopen(url).read()
+    soup = BeautifulSoup(html, 'html.parser')
+
+    # 검사
+    a=soup.select('div[id=grantexto]')
+    if len(a) != 1:
+        print("ticker : {}, date : {}, url : {}, title : {}".format(ticker, date, url, title))
+        from IPython import embed; embed()
+
+    # 시작
+    text_list=soup.select('div[id=grantexto] p')
+    text = ''
+    for i in range(len(text_list)):
+        text = text + text_list[i].text
+
+    file = open('./news/{}/{}/{}.txt'.format(ticker, date, title), 'w')
+    file.write(text)
+    file.close()
+
+
+def get_bu(ticker, date, url, title):
+    # 제목이 존재한다면, Pass
+    if os.path.exists('./news/{}/{}/{}.txt'.format(ticker, date, title)):
+        return
+
+    # html 정보 가져오기
+    html = urllib.request.urlopen(url).read()
+    soup = BeautifulSoup(html, 'html.parser')
+
+    # 검사
+    a=soup.select('div[id=grantexto]')
+    if len(a) != 1:
+        print("ticker : {}, date : {}, url : {}, title : {}".format(ticker, date, url, title))
+        from IPython import embed; embed()
+
+    # 시작
+    text_list=soup.select('div[id=grantexto] p')
+    text = ''
+    for i in range(len(text_list)):
+        text = text + text_list[i].text
+
+    file = open('./news/{}/{}/{}.txt'.format(ticker, date, title), 'w')
+    file.write(text)
+    file.close()
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+if __name__ == '__main__':
+    get_textLength_and_newsCount()
+
+
+    # get_codezb()
+
+    nasdaq_dic = pd.DataFrame(nasdaq100_crawling.get_nasdaq100())
+    nasdaq100_tickers = list(nasdaq_dic.ticker)
+    # total_count=get_news(nasdaq100_tickers)
+    total_count=get_news(nasdaq100_tickers, boundary_date="2023.01.01")
+
+
+    # tickers = ['ADP', 'AAPL', 'META']
+    # total_count=get_news(tickers)
+
+
+    print("total_count : ", total_count)
+    print("Finish")

dataset_creation/nasdaq100_crawling.py

@@ -0,0 +1,67 @@
+from bs4 import BeautifulSoup
+import urllib.request
+import pandas as pd
+
+url = "https://en.wikipedia.org/wiki/Nasdaq-100"
+
+def get_nasdaq100():
+    # Set List
+    SP500_list = []
+
+    # html 정보 가져오기
+    html = urllib.request.urlopen(url).read()
+    soup = BeautifulSoup(html, 'html.parser')
+
+    # html에서 table 정보 가져오기
+    table = soup.findAll("table", {"class": "wikitable sortable"})[2]
+
+    for row in table.findAll("tr")[1:]:
+
+        ticker = get_ticker(row)
+        name = get_name(row)
+        sector = get_sector(row)
+        industry = get_industry(row)
+
+        SP500_list.append(return_comment_form(ticker, name, sector, industry))
+
+    return SP500_list
+
+
+
+
+
+def return_comment_form(ticker, name, sector, industry):
+    comment = {'ticker': ticker,
+               'name': name,
+               'sector' : sector,
+               'industry' : industry
+               }
+    return comment
+
+
+
+
+
+
+def get_ticker(row):
+    return row.select('td')[1].text.strip()
+
+def get_name(row):
+    return row.select('td')[0].text.strip()
+
+def get_sector(row):
+    return row.select('td')[2].text.strip()
+
+def get_industry(row):
+    return row.select('td')[3].text.strip()
+
+
+
+
+if __name__ == '__main__':
+    a = get_nasdaq100()
+
+    print(pd.DataFrame(a))
+    print("Finish")
+
+

dataset_creation/nasdaq_data.py

@@ -0,0 +1,126 @@
+import pandas as pd
+from datetime import datetime
+from datetime import timedelta
+import yfinance as yf
+from dataset_creation import nasdaq100_crawling
+
+
+# Execute "nasdaq100_crawling" Module
+nasdaq_dic = pd.DataFrame(nasdaq100_crawling.get_nasdaq100())
+# Get Nasdaq 100 List
+nasdaq100_symbols = list(nasdaq_dic.ticker)
+
+
+
+
+
+
+
+
+
+# 데모에서 메뉴에서 필요한 정보들
+# Ticker, Name, Diff, Open, Close, Sector, Industry, Date
+def get_list(tickers=nasdaq100_symbols):
+    demo_dic = pd.DataFrame(nasdaq100_crawling.get_nasdaq100())
+
+    for i in range(len(demo_dic.index)):
+        ticker = demo_dic.loc[i, 'ticker']
+
+        # ticker의 주식 정보 데이터를 가져온다.
+        data = get_data(tickers=[ticker], numOfDay=3)[0]
+
+
+        yesterday = data.iloc[-2, 3]
+        today = data.iloc[-1, 3]
+        demo_dic.loc[i, 'diff'] = round(((today-yesterday)/today) * 100.0, 2)
+        demo_dic.loc[i, 'open'] = round(data.iloc[-1, 0], 2) # Open
+        demo_dic.loc[i, 'close'] = round(data.iloc[-1, 3], 2) # Close
+        date = str(data.index[-1].year) + "-" + str(data.index[-1].month) + "-" + str(data.index[-1].day)
+        demo_dic.loc[i, 'date'] = date # Date
+
+    return demo_dic
+
+
+
+# 주식 데이터 가져오기
+def get_data(tickers=nasdaq100_symbols, numOfDay=2):#numOfDay: 날짜 간격
+    output = []
+
+    # 시작 날짜 ~ 최근까지 데이터 가져오기
+    now = datetime.now() # 오늘 날짜
+    date = now.weekday() # 요일 확인
+
+    if date == 5: # Saturday
+        start_date = datetime(now.year, now.month, now.day, 0, 0) - timedelta(days=numOfDay+4)
+        end_date = datetime(now.year, now.month, now.day, 0, 0)
+    elif date == 6 or date == 0 or date == 1: # Sunday or Monday or Tuesday
+        start_date = datetime(now.year, now.month, now.day, 0, 0) - timedelta(days=numOfDay+5)
+        end_date = datetime(now.year, now.month, now.day, 0, 0)
+    else: # Others
+        start_date = datetime(now.year, now.month, now.day, 0, 0) - timedelta(days=numOfDay+3)
+        end_date = datetime(now.year, now.month, now.day, 0, 0)
+
+
+    # Check if it is included in the Nasdaq_100
+    for ticker in tickers:
+        ticker = ticker.upper()
+        if ticker not in nasdaq100_symbols:
+            print("Nasdaq 100 안에 포함되지 않습니다 ")
+        else:
+            print("[ {} Finance Data ]".format(ticker))
+            ticker_yf = yf.Tickers(ticker)
+
+            
+            abc = ticker_yf.tickers[ticker].history(start=start_date, end=end_date, period='max')
+            
+            # abc = ticker_yf.tickers[ticker].history(period='max', interval='1m')
+            # abc = ticker_yf.tickers[ticker].history(start=start_date, end=end_date, interval='1m')
+            # abc = ticker_yf.tickers[ticker].history(start=start_date, end=end_date)
+
+            # print(abc)
+            # from IPython import embed; embed()
+            output.append(abc)
+
+    # print("Output : ", output)
+    return output
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+if __name__ == '__main__':
+    print(get_list())
+
+    start_date = datetime(2021,1,1) 
+    end_date = datetime(2023,2,3)
+    
+    get_data(['meta'], numOfDay=2)
+    get_data(tickers=nasdaq100_symbols, numOfDay=2)

dataset_creation/nasdaq_url.tsv

@@ -0,0 +1,110 @@
+ticker	url
+ATVI	https://www.marketscreener.com/quote/stock/ACTIVISION-BLIZZARD-INC-3780631/news-quality/
+ADBE	https://www.marketscreener.com/quote/stock/ADOBE-INC-4844/news-quality/
+ADP	https://www.marketscreener.com/quote/stock/AUTOMATIC-DATA-PROCESSING-11713/news-quality/
+ABNB	https://www.marketscreener.com/quote/stock/AIRBNB-INC-116310849/news-quality/
+ALGN	https://www.marketscreener.com/quote/stock/ALIGN-TECHNOLOGY-INC-8316/news-quality/
+GOOGL	https://www.marketscreener.com/quote/stock/ALPHABET-INC-24203373/news-quality/
+GOOG	https://www.marketscreener.com/quote/stock/ALPHABET-INC-24203385/news-quality/
+AMZN	https://www.marketscreener.com/quote/stock/AMAZON-COM-INC-12864605/news-quality/
+AMD	https://www.marketscreener.com/quote/stock/ADVANCED-MICRO-DEVICES-I-19475876/news-quality/
+AEP	https://www.marketscreener.com/quote/stock/AMERICAN-ELECTRIC-POWER-C-11546/news-quality/
+AMGN	https://www.marketscreener.com/quote/stock/AMGEN-INC-4847/news-quality/
+ADI	https://www.marketscreener.com/quote/stock/ANALOG-DEVICES-INC-10345717/news-quality/
+ANSS	https://www.marketscreener.com/quote/stock/ANSYS-INC-40311135/news-quality/
+AAPL	https://www.marketscreener.com/quote/stock/APPLE-INC-4849/news-quality/
+AMAT	https://www.marketscreener.com/quote/stock/APPLIED-MATERIALS-INC-4850/news-quality/
+ASML	https://www.marketscreener.com/quote/stock/ASML-HOLDING-N-V-12012067/news-quality/
+AZN	https://www.marketscreener.com/quote/stock/ASTRAZENECA-PLC-11745/news-quality/
+TEAM	
+ADSK	https://www.marketscreener.com/quote/stock/AUTODESK-INC-40246776/news-quality/
+BKR	
+BIIB	https://www.marketscreener.com/quote/stock/BIOGEN-INC-4853/news-quality/
+BKNG	https://www.marketscreener.com/quote/stock/BOOKING-HOLDINGS-INC-41613106/news-quality/
+AVGO	https://www.marketscreener.com/quote/stock/BROADCOM-INC-42668543/news-quality/
+CDNS	https://www.marketscreener.com/quote/stock/CADENCE-DESIGN-SYSTEMS-I-8724/news-quality/
+CHTR	https://www.marketscreener.com/quote/stock/CHARTER-COMMUNICATIONS-I-27738754/news-quality/
+CTAS	https://www.marketscreener.com/quote/stock/CINTAS-CORPORATION-4861/news-quality/
+CSCO	https://www.marketscreener.com/quote/stock/CISCO-SYSTEMS-INC-4862/news-quality/
+CTSH	https://www.marketscreener.com/quote/stock/COGNIZANT-TECHNOLOGY-SOLU-23219296/news-quality/
+CMCSA	https://www.marketscreener.com/quote/stock/COMCAST-CORPORATION-4864/news-quality/
+CEG	https://www.marketscreener.com/quote/stock/CONSTELLATION-ENERGY-CORP-131860757/news-quality/
+CPRT	https://www.marketscreener.com/quote/stock/COPART-INC-8879/news-quality/
+CSGP	
+COST	https://www.marketscreener.com/quote/stock/COSTCO-WHOLESALE-CORPORAT-4866/news-quality/
+CRWD	https://www.marketscreener.com/quote/stock/CROWDSTRIKE-HOLDINGS-INC-59783691/news-quality/
+CSX	https://www.marketscreener.com/quote/stock/CSX-CORPORATION-25500636/news-quality/
+DDOG	https://www.marketscreener.com/quote/stock/DATADOG-INC-65956839/news-quality/
+DXCM	https://www.marketscreener.com/quote/stock/DEXCOM-INC-9115/news-quality/
+FANG	
+DLTR	https://www.marketscreener.com/quote/stock/DOLLAR-TREE-INC-4868/news-quality/
+EBAY	https://www.marketscreener.com/quote/stock/EBAY-INC-4869/news-quality/
+EA	https://www.marketscreener.com/quote/stock/ELECTRONIC-ARTS-INC-9664624/news-quality/
+ENPH	
+EXC	https://www.marketscreener.com/quote/stock/EXELON-CORPORATION-13963/news-quality/
+FAST	https://www.marketscreener.com/quote/stock/FASTENAL-COMPANY-4901/news-quality/
+FISV	https://www.marketscreener.com/quote/stock/FISERV-INC-4873/news-quality/
+FTNT	https://www.marketscreener.com/quote/stock/FORTINET-INC-60103137/news-quality/
+GILD	https://www.marketscreener.com/quote/stock/GILEAD-SCIENCES-INC-4876/news-quality/
+GFS	
+HON	https://www.marketscreener.com/quote/stock/HONEYWELL-INTERNATIONAL-I-4827/news-quality/
+IDXX	https://www.marketscreener.com/quote/stock/IDEXX-LABORATORIES-INC-9641/news-quality/
+ILMN	https://www.marketscreener.com/quote/stock/ILLUMINA-INC-9659/news-quality/
+INTC	https://www.marketscreener.com/quote/stock/INTEL-CORPORATION-4829/news-quality/
+INTU	https://www.marketscreener.com/quote/stock/INTUIT-INC-23277275/news-quality/
+ISRG	https://www.marketscreener.com/quote/stock/INTUITIVE-SURGICAL-INC-9740/news-quality/
+JD	https://www.marketscreener.com/quote/stock/JD-COM-INC-16538052/news-quality/
+KDP	https://www.marketscreener.com/quote/stock/KEURIG-DR-PEPPER-INC-44644712/news-quality/
+KLAC	https://www.marketscreener.com/quote/stock/KLA-CORPORATION-40328827/news-quality/
+KHC	https://www.marketscreener.com/quote/stock/KRAFT-HEINZ-22816979/news-quality/
+LRCX	https://www.marketscreener.com/quote/stock/LAM-RESEARCH-CORPORATION-4877/news-quality/
+LCID	https://www.marketscreener.com/quote/stock/LUCID-GROUP-INC-112589428/news-quality/
+LULU	https://www.marketscreener.com/quote/stock/LULULEMON-ATHLETICA-INC-40449575/news-quality/
+MAR	https://www.marketscreener.com/quote/stock/MARRIOTT-INTERNATIONAL-I-14633490/news-quality/
+MRVL	https://www.marketscreener.com/quote/stock/MARVELL-TECHNOLOGY-GROUP-4934/news-quality/
+MELI	https://www.marketscreener.com/quote/stock/MERCADOLIBRE-INC-58469/news-quality/
+META	https://www.marketscreener.com/quote/stock/META-PLATFORMS-INC-10547141/news-quality/
+MCHP	https://www.marketscreener.com/quote/stock/MICROCHIP-TECHNOLOGY-INC-4887/news-quality/
+MU	https://www.marketscreener.com/quote/stock/MICRON-TECHNOLOGY-INC-13639/news-quality/
+MSFT	https://www.marketscreener.com/quote/stock/MICROSOFT-CORPORATION-4835/news-quality/
+MRNA	https://www.marketscreener.com/quote/stock/MODERNA-INC-47437573/news-quality/
+MDLZ	https://www.marketscreener.com/quote/stock/MONDELEZ-INTERNATIONAL-I-11499018/news-quality/
+MNST	https://www.marketscreener.com/quote/stock/MONSTER-BEVERAGE-CORPORAT-22497283/news-quality/
+NFLX	https://www.marketscreener.com/quote/stock/NETFLIX-INC-44292425/news-quality/
+NVDA	https://www.marketscreener.com/quote/stock/NVIDIA-CORPORATION-57355629/news-quality/
+NXPI	https://www.marketscreener.com/quote/stock/NXP-SEMICONDUCTORS-N-V-6467512/news-quality/
+ORLY	https://www.marketscreener.com/quote/stock/O-REILLY-AUTOMOTIVE-INC-10363/news-quality/
+ODFL	https://www.marketscreener.com/quote/stock/OLD-DOMINION-FREIGHT-LINE-10317/news-quality/
+PCAR	https://www.marketscreener.com/quote/stock/PACCAR-INC-4893/news-quality/
+PANW	https://www.marketscreener.com/quote/stock/PALO-ALTO-NETWORKS-INC-11067980/news-quality/
+PAYX	https://www.marketscreener.com/quote/stock/PAYCHEX-INC-4894/news-quality/
+PYPL	https://www.marketscreener.com/quote/stock/PAYPAL-HOLDINGS-INC-23377703/news-quality/
+PEP	https://www.marketscreener.com/quote/stock/PEPSICO-INC-39085159/news-quality/
+PDD	https://www.marketscreener.com/quote/stock/PINDUODUO-INC-45049866/news-quality/
+QCOM	https://www.marketscreener.com/quote/stock/QUALCOMM-INC-4897/news-quality/
+REGN	https://www.marketscreener.com/quote/stock/REGENERON-PHARMACEUTICALS-10649/news-quality/
+RIVN	
+ROST	https://www.marketscreener.com/quote/stock/ROSS-STORES-INC-4927/news-quality/
+SGEN	https://www.marketscreener.com/quote/stock/SEAGEN-INC-10808/news-quality/
+SIRI	https://www.marketscreener.com/quote/stock/SIRIUS-XM-HOLDINGS-INC-14962202/news-quality/
+SBUX	https://www.marketscreener.com/quote/stock/STARBUCKS-CORPORATION-4905/news-quality/
+SNPS	https://www.marketscreener.com/quote/stock/SYNOPSYS-INC-4908/news-quality/
+TMUS	https://www.marketscreener.com/quote/stock/T-MOBILE-US-24717887/news-quality/
+TSLA	https://www.marketscreener.com/quote/stock/TESLA-INC-6344549/news-quality/
+TXN	https://www.marketscreener.com/quote/stock/TEXAS-INSTRUMENTS-9730651/news-quality/
+VRSK	https://www.marketscreener.com/quote/stock/VERISK-ANALYTICS-INC-5628469/news-quality/
+VRTX	https://www.marketscreener.com/quote/stock/VERTEX-PHARMACEUTICALS-11321/news-quality/
+WBA	https://www.marketscreener.com/quote/stock/WALGREENS-BOOTS-ALLIANCE-19356230/news-quality/
+WBD	
+WDAY	https://www.marketscreener.com/quote/stock/WORKDAY-INC-37866670/news-quality/
+XEL	https://www.marketscreener.com/quote/stock/XCEL-ENERGY-39742648/news-quality/
+ZM	https://www.marketscreener.com/quote/stock/ZOOM-VIDEO-COMMUNICATIONS-57086220/news-quality/
+ZS	https://www.marketscreener.com/quote/stock/ZSCALER-INC-42379366/news-quality/
+BIDU	https://www.marketscreener.com/quote/stock/BAIDU-INC-8563/news-quality/
+MTCH	https://www.marketscreener.com/quote/stock/MATCH-GROUP-INC-24949016/news-quality/
+VRSN	https://www.marketscreener.com/quote/stock/VERISIGN-INC-4912/news-quality/
+NTES	https://www.marketscreener.com/quote/stock/NETEASE-INC-10259/news-quality/
+SWKS	https://www.marketscreener.com/quote/stock/SKYWORKS-SOLUTIONS-INC-11014/news-quality/
+SPLK	https://www.marketscreener.com/quote/stock/SPLUNK-INC-10454129/news-quality/
+OKTA	https://www.marketscreener.com/quote/stock/OKTA-INC-34515216/news-quality/
+DOCU	https://www.marketscreener.com/quote/stock/DOCUSIGN-INC-43180302/news-quality/

modules/inference.py

@@ -0,0 +1,287 @@
+import os
+import torch
+import numpy as np
+
+import spacy
+from spacy.tokens import Span
+from spacy.attrs import ENT_IOB, ENT_TYPE
+from spacy import displacy
+
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+from transformers import pipeline
+
+
+if torch.cuda.is_available():
+    device = 'cuda'
+elif torch.backends.mps.is_available():
+    device = 'mps'
+else:
+    device = 'cpu'
+print(f"inference.py -> DEVICE : {device}")
+
+
+
+summarizer = pipeline(
+    "summarization",
+    "pszemraj/long-t5-tglobal-base-16384-book-summary",
+    device=0 if torch.cuda.is_available() else -1,
+)
+long_text = "Here is a lot of text I don't want to read. Replace me"
+
+
+
+# [ Practice ]
+# result = summarizer(long_text)
+# print(result[0]["summary_text"])
+
+
+
+tokenizer = AutoTokenizer.from_pretrained("allenai/tk-instruct-base-def-pos")
+model = AutoModelForSeq2SeqLM.from_pretrained("allenai/tk-instruct-base-def-pos")
+# k = pipeline("text2text-generation", model="allenai/tk-instruct-3b-def")
+
+
+
+# [ Practice ]
+# input_ids = tokenizer.encode("Definition: return the currency of the given country. Now complete the following example - Input: India. Output:", 
+#         return_tensors="pt")
+# output = model.generate(input_ids, max_length=10)
+# output = tokenizer.decode(output[0], skip_special_tokens=True)   # model should output 'Indian Rupee'
+# print(output)
+
+# input_ids = tokenizer.encode("Definition: negate the following sentence. Input: John went to school. Output:", 
+#         return_tensors="pt")
+# output = model.generate(input_ids, max_length=10)
+# output = tokenizer.decode(output[0], skip_special_tokens=True)   # model should output 'John did not go to shool.'
+# print(output)
+
+
+
+# text = "Alphabet's results also missed forecasts on revenue and earnings per share, as advertising declined year-over-year. The numbers come after the company laid off about 12,000 employees in January, a move CEO Sundar Pichai blamed on Alphabet overhiring during the pandemic boom. \
+# Q: Why did Alphabet's stock go down?"
+# input_ids = tokenizer.encode(text, return_tensors="pt")
+# output = model.generate(input_ids, max_length=10)
+# output = tokenizer.decode(output[0], skip_special_tokens=True)   # model should output 'John did not go to shool.'
+# print(output)
+
+
+
+def Tk_instruct(text, questions):
+    # Summary 했는지 안했는지
+    summarized = False
+    summarized_data = ""
+
+    text = text + "\n\nQ: " + questions
+    print("Model's input : ", text)
+
+
+    if len(text) >= 512:
+        print(f"===================== Apply Summarization : length = {len(text)} =====================")
+        text = summarizer(text)[0]["summary_text"]
+        print(f"===================== Summary text : {text} =====================")
+        summarized = True
+        summarized_data = text
+
+
+
+    input_ids = tokenizer.encode(text, return_tensors="pt")
+    output = model.generate(input_ids, max_length=10)
+    output = tokenizer.decode(output[0], skip_special_tokens=True)
+
+
+    if summarized:
+        output = "Summary News : " + summarized_data + "\n\n" + "Answer : " + output
+
+
+    return output
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+# NER 연습
+def practice1():
+    print(f"======================={ 1. }=======================")
+    nlp = spacy.load("en_core_web_sm")
+    doc = nlp("Apple is looking at buying U.K. startup for $1 billion")
+
+    print(doc)
+    print(doc.ents)
+
+    for ent in doc.ents:
+        print(ent.text, ent.start_char, ent.end_char, ent.label_)
+
+
+    title = "2. Accessing entity annotations and labels"
+    print(f"======================={ title }=======================")
+    nlp = spacy.load("en_core_web_sm")
+    doc = nlp("San Francisco considers banning sidewalk delivery robots")
+    
+    # document level
+    ents = [(e.text, e.start_char, e.end_char, e.label_) for e in doc.ents]
+    print(ents)
+
+    # I - Token is inside an entity.
+    # O - Token is outside an entity.
+    # B - Token is the beginning of an entity.
+
+    # token level
+    ent_san = [doc[0].text, doc[0].ent_iob_, doc[0].ent_type_]
+    ent_francisco = [doc[1].text, doc[1].ent_iob_, doc[1].ent_type_]
+    print(ent_san)
+    print(ent_francisco)
+
+
+
+    title = "3. Setting entity annotations"
+    print(f"======================={ title }=======================")
+    nlp = spacy.load("en_core_web_sm")
+    doc = nlp("fb is hiring a new vice president of global policy")
+    ents = [(e.text, e.start_char, e.end_char, e.label_) for e in doc.ents]
+    print('Before', ents)
+    # The model didn't recognize "fb" as an entity :(
+
+    # Create a span for the new entity
+    fb_ent = Span(doc, 0, 1, label="ORG"); print(fb_ent)
+    orig_ents = list(doc.ents)
+
+    # Option 1: Modify the provided entity spans, leaving the rest unmodified
+    doc.set_ents([fb_ent], default="unmodified")
+
+    # Option 2: Assign a complete list of ents to doc.ents
+    doc.ents = orig_ents + [fb_ent]
+
+    ents = [(e.text, e.start, e.end, e.label_) for e in doc.ents]
+    print('After', ents)
+    # [('fb', 0, 1, 'ORG')]
+
+
+
+    title = "4. Setting entity annotations from array"
+    print(f"======================={ title }=======================")
+    nlp = spacy.load("en_core_web_sm")
+    doc = nlp.make_doc("London is a big city in the United Kingdom.")
+    print("Before", doc.ents) # []
+
+    header = [ENT_IOB, ENT_TYPE]; print(header)
+    attr_array = np.zeros((len(doc), len(header)), dtype="uint64"); print(attr_array)
+    attr_array[0, 0] = 3 # B
+    attr_array[0, 1] = doc.vocab.strings["GPE"]
+    doc.from_array(header, attr_array); print(attr_array)
+    print("After", doc.ents) # [London]
+
+
+
+    title = "5. Visualizing named entities"
+    print(f"======================={ title }=======================")
+    text = "When Sebastian Thrun started working on self-driving cars at Google in 2007, few people outside of the company took him seriously."
+
+    nlp = spacy.load("en_core_web_sm")
+    doc = nlp(text)
+    # displacy.serve(doc, style="ent")
+    displacy.serve(doc, port=3, style="ent")
+
+
+
+
+
+
+
+
+
+
+
+
+
+############################################################################
+
+# news_analysis.html + ner.html => news.html 만드는 연습
+
+
+from flask import Flask, jsonify, request, render_template
+from bs4 import BeautifulSoup
+app = Flask(__name__)
+
+@app.route('/')
+def practice2():
+    title = "1. Rendering HTML"
+    print(f"======================={ title }=======================")
+    nlp = spacy.load("en_core_web_sm")
+    doc1 = nlp("This is a sentence.")
+    doc2 = nlp("This is another sentence.")
+    ner_html = displacy.render([doc1, doc2], style="dep", page=True)
+    
+    print("ner_html : ", ner_html)
+    
+    
+    # NER html code
+    soup = BeautifulSoup(ner_html, 'html.parser')
+    ner_figure_list = soup.select('figure')
+    ner_html = ""
+    for i in range(len(ner_figure_list)):
+        ner_html = ner_html + str(ner_figure_list[i])
+
+
+
+    f = open("./templates/news_analysis.html", 'r')
+    f2 = open("./modules/templates/example.html", 'w')# read and write
+
+    html = f.read()
+    idx = html.find("ner-box") + 9 # NER html 삽입되는 부분
+
+    html = html[:idx] + ner_html + html[idx:]
+
+    f2.seek(0) # open하면 
+    f2.write(html)
+    # f2.seek(0)
+    # print(f2.read())
+    
+    # from IPython import embed; embed()
+
+    # f2.write(f.read())
+    # f2.seek(0) # 가장 앞으로
+
+    return render_template("example.html")
+
+
+
+
+    
+
+
+
+if __name__ == "__main__":
+    # app.run(host='0.0.0.0', port='777')
+    
+    practice1()

requirements.txt

@@ -0,0 +1,11 @@
+pandas
+beautifulsoup4
+Flask
+torch
+transformers
+accelerate
+bitsandbytes
+spacy
+yfinance
+https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl
+https://github.com/explosion/spacy-models/releases/download/en_core_web_md-3.5.0/en_core_web_md-3.5.0-py3-none-any.whl

static/css/chartStyle.css

@@ -0,0 +1,132 @@
+/* id : "#" */
+.myChart-container {
+    /* 속성의 요소 너비를 지정 */
+    width: 60vw;
+
+    /* 속성의 요소의 높이를 지정 */
+    height: 30vh;
+
+    /*
+        [ margin 태그 ]
+        margin-top (상단 여백)
+        margin-right (오른쪽 여백)
+        margin-bottom (아래 여백)
+        margin-left (왼쪽 여백)
+
+        지정값은 px, cm, %로 지정할 수 있다.
+        음수값도 지정 가능(ex. -10px)
+
+        * 4면 한꺼번에 margin 지정하기
+            ex) margin: 5px 7px 3px 0px;
+                (위, 오른쪽, 아래, 왼쪽)
+        * 4면이 모두 같을 때 margin 지정하기
+            ex) margin: 5px;
+        * 위, 오른쪽&왼쪽, 아래 margin 지정하기
+            ex) margin: 5px 10px 0px;
+        * 위&아래, 오른쪽&왼쪽 margin 지정하기
+            ex) margin: 5px 10px;
+        * margin 자동 지정하기
+            ex) margin: auto 0;
+                (위아래 값이 자동, 좌우가 0px)
+            ex) margin-left: auto;
+
+    */
+    margin: 40px auto;
+    padding-bottom: 13%;
+}
+
+
+.table {
+    /* 
+        [ align-items 태그 ]
+        flex-box 요소의 수직 방향 정렬 방식을 설정
+        ex. flex-start, flex-end, center        
+    */
+    align-items: center;
+
+    /* 
+        [ justify-content 태그 ]
+        flex-box 요소의 수평 방향 정렬 방식을 설정
+        ex. flex-start, flex-end, center        
+    */
+    justify-content: center;
+
+
+    /*
+        [ margin 태그 ]
+        margin-top (상단 여백)
+        margin-right (오른쪽 여백)
+        margin-bottom (아래 여백)
+        margin-left (왼쪽 여백)
+
+        지정값은 px, cm, %로 지정할 수 있다.
+        음수값도 지정 가능(ex. -10px)
+
+        * 4면 한꺼번에 margin 지정하기
+            ex) margin: 5px 7px 3px 0px;
+                (위, 오른쪽, 아래, 왼쪽)
+        * 4면이 모두 같을 때 margin 지정하기
+            ex) margin: 5px;
+        * 위, 오른쪽&왼쪽, 아래 margin 지정하기
+            ex) margin: 5px 10px 0px;
+        * 위&아래, 오른쪽&왼쪽 margin 지정하기
+            ex) margin: 5px 10px;
+        * margin 자동 지정하기
+            ex) margin: auto 0;
+                (위아래 값이 자동, 좌우가 0px)
+            ex) margin-left: auto;
+
+    */
+    margin: 20px auto;
+
+
+    /*
+        [ text-align 태그 ]
+        텍스트의 정렬 방향을 설정
+
+        left: 왼쪽 정렬
+        right: 오른쪽 정렬
+        center: 중앙 정렬
+        justify: 양쪽 정렬 (자동 줄바꿈시 오른쪽 경계선 부분 정리)
+    */
+    text-align: center;
+
+
+    padding-top: 50px;
+}
+
+
+.table .title-width {
+    width: 10px;
+    text-align: center;
+}
+
+
+.table .table-title {
+    font-size: 50px;
+}
+
+
+
+
+
+
+
+
+
+
+
+
+/* h1, h2 태그 부분 */
+.gohome, .goticker {
+    text-decoration: none;
+}
+
+
+
+.table .news-table .news.diff.up {
+    color: #ed2a61;
+}
+.table .news-table .news.diff.down {
+    color: #3c6ffa;
+}

static/css/news.css

@@ -0,0 +1,207 @@
+/* ner 관련 */
+
+.ner-box {
+    width: calc(92%); /* 속성의 요소 너비를 지정 */
+    height: 500px; /* 속성의 요소의 높이를 지정 */
+
+
+    /* 
+        [ align-items 태그 ]
+        flex-box 요소의 수직 방향 정렬 방식을 설정
+        ex. flex-start, flex-end, center        
+    */
+    align-items: center;
+
+    /* 
+        [ justify-content 태그 ]
+        flex-box 요소의 수평 방향 정렬 방식을 설정
+        ex. flex-start, flex-end, center        
+    */
+    justify-content: center;
+
+    /*
+        [ text-align 태그 ]
+        텍스트의 정렬 방향을 설정
+
+        left: 왼쪽 정렬
+        right: 오른쪽 정렬
+        center: 중앙 정렬
+        justify: 양쪽 정렬 (자동 줄바꿈시 오른쪽 경계선 부분 정리)
+    */
+    text-align: center;
+
+
+    /*
+        [ margin 태그 ]
+        margin-top (상단 여백)
+        margin-right (오른쪽 여백)
+        margin-bottom (아래 여백)
+        margin-left (왼쪽 여백)
+
+        지정값은 px, cm, %로 지정할 수 있다.
+        음수값도 지정 가능(ex. -10px)
+
+        * 4면 한꺼번에 margin 지정하기
+            ex) margin: 5px 7px 3px 0px;
+                (위, 오른쪽, 아래, 왼쪽)
+        * 4면이 모두 같을 때 margin 지정하기
+            ex) margin: 5px;
+        * 위, 오른쪽&왼쪽, 아래 margin 지정하기
+            ex) margin: 5px 10px 0px;
+        * 위&아래, 오른쪽&왼쪽 margin 지정하기
+            ex) margin: 5px 10px;
+        * margin 자동 지정하기
+            ex) margin: auto 0;
+                (위아래 값이 자동, 좌우가 0px)
+            ex) margin-left: auto;
+
+    */
+    margin: 1rem;
+
+
+    min-height: 1.2rem;
+    border: 0.5px solid grey;
+    padding: 0.5rem 1rem;
+}
+
+
+
+/* NER label_ */
+.entities .entity_person {
+    background-color: #aa9cfc;
+}
+
+.entities .entity_org {
+    background-color: #7aecec;
+}
+
+.entities .entity_fac {
+    background-color: #9cc9cc;
+}
+
+.entities .entity_gpe {
+    background-color: #feca74;
+}
+
+.entities .entity_product {
+    background-color: #bfeeb7;
+}
+
+.entities .none {
+    background-color: transparent;
+}
+
+/* 마우스 올렸을 때, 보이게 하는 것 */
+.entities .show-label {
+    display: none;
+}
+
+.entities .entity_person:hover .show-label,
+.entities .entity_org:hover .show-label,
+.entities .entity_fac:hover .show-label,
+.entities .entity_gpe:hover .show-label,
+.entities .entity_product:hover .show-label {
+    display: block;
+}
+
+
+
+
+
+/* Model 관련 */
+
+/* id : "#" */
+#model {
+    text-align: center;
+}
+
+/* id : "#" */
+#text-input {
+    width: calc(100% / 2); /* 속성의 요소 너비 */
+    height: 78px;
+    word-break: break-all;
+}
+
+
+.text-output {
+    width: calc(100% * (2/3)); /* 속성의 요소 너비 */
+    min-height: 10rem;
+
+
+
+    /*
+        [ margin 태그 ]
+        margin-top (상단 여백)
+        margin-right (오른쪽 여백)
+        margin-bottom (아래 여백)
+        margin-left (왼쪽 여백)
+
+        지정값은 px, cm, %로 지정할 수 있다.
+        음수값도 지정 가능(ex. -10px)
+
+        * 4면 한꺼번에 margin 지정하기
+            ex) margin: 5px 7px 3px 0px;
+                (위, 오른쪽, 아래, 왼쪽)
+        * 4면이 모두 같을 때 margin 지정하기
+            ex) margin: 5px;
+        * 위, 오른쪽&왼쪽, 아래 margin 지정하기
+            ex) margin: 5px 10px 0px;
+        * 위&아래, 오른쪽&왼쪽 margin 지정하기
+            ex) margin: 5px 10px;
+        * margin 자동 지정하기
+            ex) margin: auto 0;
+                (위아래 값이 자동, 좌우가 0px)
+            ex) margin-left: auto;
+
+    */
+    margin: 20px auto;
+
+    /* 
+        [ border 태그 ]
+        해당 태그의 테두리를 설정
+        width - style - color
+        border-width - border-style - border-color
+
+        border-width : 테두리의 두께로, 주로 px 단위를 사용
+        border-style : 테두리의 스타일로 실선, 점선, 이중선 등의 옵션이 존재
+        border-color : 테두리의 색상으로, 값은 color 속성의 포맷을 사용
+    */
+    border: 0.5px solid grey;
+
+    /*
+        [ padding 태그 ]
+        지정값은 px, cm, %로 지정할 수 있다.
+        margin은 음수값이 지정 가능하지만 padding은 음수값 지정이 안된다.
+        
+        padding 태그와 비슷한 태그
+        : padding-top, padding-right, padding-bottom, padding-left
+
+        * 4면 한꺼번에 padding 지정하기
+            ex) padding: 5px, 7px, 3px, 0px;
+                (위, 오른쪽, 아래, 왼쪽)
+        * 4면 모두 같을 때 padding 지정하기
+            ex) padding: 5px;
+        * 위, 오른쪽&왼쪽, 아래 padding 지정하기
+            ex) padding: 5px 10px 0px;
+        * 위&아래, 오른쪽&왼쪽 padding 지정하기
+            ex) padding: 5px, 10px;
+
+    */
+    padding: 0.5rem 1rem;
+}
+
+
+
+
+
+
+
+
+
+
+
+
+/* h1, h2 태그 부분 */
+.gohome, .goticker {
+    text-decoration: none;
+}

static/css/style.css

@@ -0,0 +1,287 @@
+/*
+    [ CSS 기본 문법 ]
+    AND 연산자 : 선택자 사이에 공백이 제거되는 경우 여러 선택자를 동시에 만족하는 태그의 스타일을 적용
+    OR 연산자 : 두 선택자 중 하나라도 만족시 적용되는 조건 (쉼표를 통해 두 선택자 중 하나라도 만족시 적용)
+
+
+    ".a .b .c" : a클래스 내부의 b클래스 내부의 c클래스 요소에만 스타일 적용
+    ".a.b.c" : 클래스 속성 내에 a, b, c 모두 설정된 모든 요소들을 선택
+    ".a, .b, .c" : 일치하는 모든 요스들을 선택
+*/
+
+
+.sec_cal {
+    width: 360px; /* 속성의 요소 너비 */
+    margin: 0 auto;
+    font-family: "NotoSansR";
+}
+
+/* ".a .b .c" : a클래스 내부의 b클래스 내부의 c클래스 요소에만 스타일 적용 */
+.sec_cal .cal_nav {
+    display: flex;
+    justify-content: center; /* 가로 축을 기준으로 좌우에 대한 정렬 */
+    align-items: center; /* 세로 축을 기준으로 정렬 위아래에 대한 정렬 */
+    font-weight: 700; /* 폰트(font)의 가중치(weight)나 굵기(boldness)를 명시 */
+    font-size: 48px; /* 폰트(font)의 크기를 지정 */
+    line-height: 78px; /* Sets the height of a line box (줄간격) */
+}
+
+.sec_cal .cal_nav .year-month {
+    width: 300px; /* 속성의 요소 너비 */
+    text-align: center;
+    line-height: 1;
+}
+
+.sec_cal .cal_nav .nav {
+    display: flex;
+    border: 1px solid #333333;
+    border-radius: 5px;
+}
+
+.sec_cal .cal_nav .go-prev,
+.sec_cal .cal_nav .go-next {
+    display: block;
+    width: 50px; /* 속성의 요소 너비 */
+    height: 78px;
+    font-size: 0;
+    display: flex;
+    justify-content: center;
+    align-items: center;
+}
+
+.sec_cal .cal_nav .go-prev::before,
+.sec_cal .cal_nav .go-next::before {
+    content: "";
+    display: block;
+    width: 20px; /* 속성의 요소 너비 */
+    height: 20px;
+    border: 3px solid #000;
+    border-width: 3px 3px 0 0;
+    transition: border 0.1s;
+}
+
+.sec_cal .cal_nav .go-prev:hover::before,
+.sec_cal .cal_nav .go-next:hover::before {
+    border-color: #ed2a61;
+}
+
+.sec_cal .cal_nav .go-prev::before {
+    transform: rotate(-135deg);
+}
+
+.sec_cal .cal_nav .go-next::before {
+    transform: rotate(45deg);
+}
+
+.sec_cal .cal_wrap {
+    padding-top: 40px;
+    position: relative;
+    margin: 0 auto;
+}
+
+.sec_cal .cal_wrap .days {
+    display: flex;
+    margin-bottom: 20px; /* 요소 하단의 margin 하단의 영역을 설정 (여유 공간 설정) */
+    padding-bottom: 20px; /* 요소의 바닥에서 패딩 영역의 높이를 설정 */
+    border-bottom: 1px solid #ddd;
+}
+
+.sec_cal .cal_wrap::after {
+    top: 368px;
+}
+
+.sec_cal .cal_wrap .day {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    width: calc(100% / 7); /* 속성의 요소 너비 */
+    text-align: left;
+    color: #999;
+    font-size: 12px;
+    text-align: center;
+    border-radius: 5px;
+}
+
+
+/* <div class="day current today">1</div> */
+.current.today {
+    /* background: rgb(3, 179, 65); */
+    background: rgb(242 242 242);
+}
+
+.sec_cal .cal_wrap .dates {
+    display: flex;
+    flex-flow: wrap;
+    height: 290px;
+}
+
+/* Pseduo-Classes ( 그 중에서 Structural pseudo-classes ) */
+.sec_cal .cal_wrap .day:nth-child(7n -1) {
+    color: #3c6ffa;
+}
+
+/* Pseduo-Classes ( 그 중에서 Structural pseudo-classes ) */
+.sec_cal .cal_wrap .day:nth-child(7n) {
+    color: #ed2a61;
+}
+
+.sec_cal .cal_wrap .day.disable {
+    color: #ddd;
+}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+/* Model 관련 */
+
+/* id : "#" */
+#model {
+    text-align: center;
+}
+
+/* id : "#" */
+#text-input {
+    width: calc(100% / 2); /* 속성의 요소 너비 */
+    height: 78px;
+    word-break: break-all;
+}
+
+.text-output {
+    width: calc(100% / 2); /* 속성의 요소 너비 */
+    min-height: 1.2rem;
+    margin: 1rem;
+    border: 0.5px solid grey;
+    padding: 0.5rem 1rem;
+}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+/* Stocks 관련 */
+
+
+/* .sec_cal { */
+.stocks_wrap {
+    width: 580px; /* 속성의 요소 너비 */
+    margin: 0 auto;
+    font-family: "NotoSansR";
+}
+
+
+/* .sec_cal .cal_wrap { */
+.stocks_wrap {
+    padding-top: 40px;
+    position: relative;
+    margin: 0 auto;
+}
+
+
+/* .sec_cal .cal_wrap .days { */
+.stocks_wrap .stocks_columns {
+    display: flex;
+    margin-bottom: 20px; /* 요소 하단의 margin 하단의 영역을 설정 */
+    padding-bottom: 20px; /* 요소의 바닥에서 패딩 영역의 높이를 설정 */
+    border-bottom: 1px solid #ddd;
+}
+
+
+/* .sec_cal .cal_wrap .day { */
+.stocks_wrap .stocks_columns .column,
+.stocks_wrap .stocks .stock {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    width: 50px;
+    text-align: left;
+    color: #999;
+    font-size: 12px;
+    text-align: center;
+    border-radius: 5px; /* rounds the corners of an element's outer border edge. */
+}
+
+
+
+
+.stocks_wrap .stocks_columns .column {
+    font-size: 17px;
+    /* width: 70px; */
+}
+.stocks_wrap .stocks .stock {
+    font-size: 13px;
+    /* width: 35px; */
+}
+
+
+.name {
+    margin-right: 30px;
+    margin-left: 30px;
+}
+.sector, .industry{
+    margin-right: 18px;
+    margin-left: 48px;
+}
+.dff, .open, .close {
+    margin-right: 5px;
+    margin-left: 5px;
+}
+
+.stocks_wrap .stocks .ticker {
+    color: #04b70d;
+    text-decoration: underline;
+}
+.stocks_wrap .stocks .up {
+    color: #ed2a61;
+}
+.stocks_wrap .stocks .down {
+    color: #3c6ffa;
+}
+
+
+
+/* .sec_cal .cal_wrap .dates { */
+.stocks_wrap .stocks {
+    display: flex;
+    flex-flow: wrap;
+    height: 5000px; /* 높이 간격 */
+}
+
+
+
+
+
+
+
+
+
+
+
+
+/* h1 태그 부분 */
+.gohome {
+    text-decoration: none;
+}

static/js/chartIndex.js

@@ -0,0 +1,246 @@
+
+// jQuery
+// $(document).ready(function() { });
+$(function() {
+    chartInit();
+});
+
+
+
+
+function handleReturn(output) {
+    return output;
+}
+
+
+
+
+
+function chartInit() {
+    // Ticker 이름 가져오기
+    // 해당 class의 text 가져오기
+    let ticker = document.querySelector('.tickerName').textContent;
+    // console.log(ticker.indexOf(' '));
+    idx = ticker.indexOf(' ');
+    ticker = ticker.substring(0, idx);
+
+
+    // Javascript -> Flask (Python) -> Javascript
+    chart_data = sendAjax_async("/chart", {"ticker": ticker}, "json", handleReturn);
+    console.log(chart_data);
+    console.log(Object.keys(chart_data.Close));
+
+
+    // x축과 data 설정
+    // data: [{'x': date, 'o': open, 'h': high, 'l': low, 'c': close}, { }, { }, ... ]
+    data = [];
+    key_list = Object.keys(chart_data.Close);
+    for (var i=key_list.length-15; i<key_list.length; i++) {
+        key = key_list[i];
+        const [year, month, day] = key.split("-");
+        const x = new Date(parseInt(year), parseInt(month), parseInt(day), 9, 0, 0, 0).getTime();
+        data.push({'x': x, 'o': chart_data.Open[key].toFixed(2), 'h': chart_data.High[key].toFixed(2), 'l': chart_data.Low[key].toFixed(2), 'c': chart_data.Close[key].toFixed(2)})
+    }
+    console.log("data : ", data);
+
+
+    
+    
+
+
+    // Javascript chart.js candlestick
+    let mychart = document.getElementById('myChart');
+    new Chart(mychart, {
+        type: 'candlestick',
+        data: {
+            datasets: [{
+                label: 'CHRT - '.concat(ticker),
+                data: data
+            }]
+        }
+    });
+
+
+
+
+
+    //////////////////////////////////////////////////////////////////
+
+    // Javascript를 이용해 HTML에 동적으로 태그 추가
+
+    // a 태그 onclick 적용
+    const goTicker = document.querySelector('.goticker');
+    let goTickerURL = '/'.concat(ticker)
+    goTicker.setAttribute('href', goTickerURL);
+
+    //////////////////////////////////////////////////////////////////
+
+
+
+
+
+    //////////////////////////////////////////////////////////////////
+
+    // table title 표시
+    // 해당 class의 text 집어넣기
+    const table_title = document.querySelector('.table-title');
+    $('.table .table-title').text(ticker.concat(' News'));
+
+
+
+
+    // Javascript -> Flask (Python) -> Javascript
+    news = sendAjax_async(url="/news", data={"ticker": ticker}, dataType="json", handle=handleReturn);
+
+    news_table = document.querySelector('.table .news-table');
+    // console.log(news_table.innerHTML);
+
+
+    // console.log(news);
+    // console.log(Object.keys(news)); // key 배열 만들기
+    // console.log(typeof Object.keys(news));
+
+
+
+
+    /* 
+        [ 날짜 정렬 ]
+        "news"에서 index에 대해서 정렬을 하고 reduce() 함수를 적용.
+
+        reduce() : 배열의 각 요소에 대해 주어진 reducer 함수를 실행하고, 하나의 결과값을 반환
+    */
+    sorted_news = {}
+    sorted_news = Object.keys(news).sort(function (a, b) {
+        if (a < b) { return 1; }
+        else if (a > b) { return -1; }
+        else { return 0; }
+    }).reduce((sorted_news, key) => {
+        sorted_news[key] = news[key];
+        return sorted_news;
+    }, {});
+    // console.log(sorted_news);
+
+    var key_list = Object.keys(chart_data.Open);
+    var open_list = Object.values(chart_data.Open);
+    var close_list = Object.values(chart_data.Close);
+
+    for (var i=0; i<key_list.length; i++) {
+        const [year, month, day] = key_list[i].split("-");
+        key_list[i] = year + '.' + month + '.' + day;
+    }
+    console.log(key_list);
+
+    // List 안의 value를 뽑을 때, (Python) => for item in list:
+    Object.keys(sorted_news).forEach(key => {
+        var idx = key_list.indexOf(String(key));
+
+        if (idx != -1) { var diff = ((open_list[idx]-close_list[idx-1])/(open_list[idx]) * 100.0).toFixed(2); }
+        else { var diff = '.'; }
+
+        if (diff == '.') {
+            var diff_html = '<th class="news diff">' + diff + '</th>';
+        }
+        else if (diff > 0) {
+            var diff_html = '<th class="news diff up">+' + diff + ' %</th>';
+        }
+        else {
+            var diff_html = '<th class="news diff down">' + diff + ' %</th>';
+        }
+        var html = '<tr align="center" bgcolor="white"><th>+</th><th>' + key + '</th>' + diff_html + '<td style="text-align: left;">';
+
+        for (var i = 0; i < sorted_news[key].length; i++) {
+            var title = sorted_news[key][i].substring(0, sorted_news[key][i].length-4);
+            var sendTitle = title; // Javascript -> Python 보내기 위한 title
+
+            
+            // title에서 & 표시가 있을 수 있음.
+            // Title 에서 '&'로 표시되어 있는데 따로 구별해야 된다.
+            // andSymbolInTitle 에서 가져온 '&' 위치 index를 title과 합쳐준다.
+            andSymbolInTitle = [];
+            let idx = 0;
+            // title = "asdf&asdf&AS&DF&&";
+            // sendTitle = title;
+
+            while (true) {
+                idx = sendTitle.indexOf('&', idx);
+                if (idx == -1) { break; }
+                sendTitle = sendTitle.substring(0, idx) + sendTitle.substring(idx+1, sendTitle.length);
+                // console.log(sendTitle);
+                andSymbolInTitle.push(idx + andSymbolInTitle.length);
+            }
+
+            var link = String('"/info?ticker='.concat(ticker, '&date=', key, '&title=', sendTitle, '&andSymbolInTitle=', andSymbolInTitle, '"'));
+            // console.log(link);
+            html = html + '<a href=' + link + '>' + title + '</a><br>';
+        }
+        html = html + '</td>';
+
+        news_table.innerHTML = news_table.innerHTML + html;
+    });
+}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+/**
+ * 
+ * @param {string} url from javascript to flask(python) with route
+ * @param {dictionary} data from javascript to flask(python) with data
+ * @param {function} handle 큰 의미 없음
+ */
+function sendAjax(url, data, handle) {
+    /*
+        jQuery.getJSON(url, [, data], [, success])
+
+        Load JSON-encoded data from the server using a GET HTTP request.
+    */
+
+    $.getJSON(url, data, 
+        function(response) {
+            handle(response.result);
+        });
+}
+
+
+/**
+ * 
+ * @param {string} url from javascript to flask(python) with route
+ * @param {dictionary} data from javascript to flask(python) with data
+ * @param {string} dataType The type of data that you're expecting back from the server. (ex. "json")
+ * @param {function} handle 큰 의미 없음
+ * @returns from flask(python) to javascript with data
+ */
+function sendAjax_async(url, data, dataType, handle) {
+    /*
+        jQuery.ajax(url, [, settings])
+
+        jQuery.getJSON => Asynchronous (비동기식)
+        
+        Synchronous => 동기식 : 코드 순서대로 진행
+    */
+
+    var search_var;
+    console.log("Internal : sendAjax async");
+
+    $.ajax(url=url, settings={data: data, dataType: dataType, async: false,
+        success: function(response) {
+            console.log("Success : ", typeof response);
+            search_var = handle(response.result); // handle, 큰 의미 없음
+        }
+    });
+    
+    return search_var
+}
+

static/js/chartjs-chart-financial.js

@@ -0,0 +1,525 @@
+/*!
+ * @license
+ * chartjs-chart-financial
+ * http://chartjs.org/
+ * Version: 0.1.0
+ *
+ * Copyright 2021 Chart.js Contributors
+ * Released under the MIT license
+ * https://github.com/chartjs/chartjs-chart-financial/blob/master/LICENSE.md
+ */
+(function (global, factory) {
+typeof exports === 'object' && typeof module !== 'undefined' ? factory(require('chart.js'), require('chart.js/helpers')) :
+typeof define === 'function' && define.amd ? define(['chart.js', 'chart.js/helpers'], factory) :
+(global = typeof globalThis !== 'undefined' ? globalThis : global || self, factory(global.Chart, global.Chart.helpers));
+}(this, (function (chart_js, helpers) { 'use strict';
+
+/**
+ * Computes the "optimal" sample size to maintain bars equally sized while preventing overlap.
+ * @private
+ */
+function computeMinSampleSize(scale, pixels) {
+	let min = scale._length;
+	let prev, curr, i, ilen;
+
+	for (i = 1, ilen = pixels.length; i < ilen; ++i) {
+		min = Math.min(min, Math.abs(pixels[i] - pixels[i - 1]));
+	}
+
+	for (i = 0, ilen = scale.ticks.length; i < ilen; ++i) {
+		curr = scale.getPixelForTick(i);
+		min = i > 0 ? Math.min(min, Math.abs(curr - prev)) : min;
+		prev = curr;
+	}
+
+	return min;
+}
+
+/**
+ * This class is based off controller.bar.js from the upstream Chart.js library
+ */
+class FinancialController extends chart_js.BarController {
+
+	getLabelAndValue(index) {
+		const me = this;
+		const parsed = me.getParsed(index);
+		const axis = me._cachedMeta.iScale.axis;
+
+		const {o, h, l, c} = parsed;
+		const value = `O: ${o}  H: ${h}  L: ${l}  C: ${c}`;
+
+		return {
+			label: `${me._cachedMeta.iScale.getLabelForValue(parsed[axis])}`,
+			value
+		};
+	}
+
+	getAllParsedValues() {
+		const meta = this._cachedMeta;
+		const axis = meta.iScale.axis;
+		const parsed = meta._parsed;
+		const values = [];
+		for (let i = 0; i < parsed.length; ++i) {
+			values.push(parsed[i][axis]);
+		}
+		return values;
+	}
+
+	/**
+	 * Implement this ourselves since it doesn't handle high and low values
+	 * https://github.com/chartjs/Chart.js/issues/7328
+	 * @protected
+	 */
+	getMinMax(scale) {
+		const meta = this._cachedMeta;
+		const _parsed = meta._parsed;
+		const axis = meta.iScale.axis;
+
+		if (_parsed.length < 2) {
+			return {min: 0, max: 1};
+		}
+
+		if (scale === meta.iScale) {
+			return {min: _parsed[0][axis], max: _parsed[_parsed.length - 1][axis]};
+		}
+
+		let min = Number.POSITIVE_INFINITY;
+		let max = Number.NEGATIVE_INFINITY;
+		for (let i = 0; i < _parsed.length; i++) {
+			const data = _parsed[i];
+			min = Math.min(min, data.l);
+			max = Math.max(max, data.h);
+		}
+		return {min, max};
+	}
+
+	_getRuler() {
+		const me = this;
+		const opts = me.options;
+		const meta = me._cachedMeta;
+		const iScale = meta.iScale;
+		const axis = iScale.axis;
+		const pixels = [];
+		for (let i = 0; i < meta.data.length; ++i) {
+			pixels.push(iScale.getPixelForValue(me.getParsed(i)[axis]));
+		}
+		const barThickness = opts.barThickness;
+		const min = computeMinSampleSize(iScale, pixels);
+		return {
+			min,
+			pixels,
+			start: iScale._startPixel,
+			end: iScale._endPixel,
+			stackCount: me._getStackCount(),
+			scale: iScale,
+			ratio: barThickness ? 1 : opts.categoryPercentage * opts.barPercentage
+		};
+	}
+
+	/**
+	 * @protected
+	 */
+	calculateElementProperties(index, ruler, reset, options) {
+		const me = this;
+		const vscale = me._cachedMeta.vScale;
+		const base = vscale.getBasePixel();
+		const ipixels = me._calculateBarIndexPixels(index, ruler, options);
+		const data = me.chart.data.datasets[me.index].data[index];
+		const open = vscale.getPixelForValue(data.o);
+		const high = vscale.getPixelForValue(data.h);
+		const low = vscale.getPixelForValue(data.l);
+		const close = vscale.getPixelForValue(data.c);
+
+		return {
+			base: reset ? base : low,
+			x: ipixels.center,
+			y: (low + high) / 2,
+			width: ipixels.size,
+			open,
+			high,
+			low,
+			close
+		};
+	}
+
+	draw() {
+		const me = this;
+		const chart = me.chart;
+		const rects = me._cachedMeta.data;
+		helpers.clipArea(chart.ctx, chart.chartArea);
+		for (let i = 0; i < rects.length; ++i) {
+			rects[i].draw(me._ctx);
+		}
+		helpers.unclipArea(chart.ctx);
+	}
+
+}
+
+FinancialController.overrides = {
+	label: '',
+
+	parsing: false,
+
+	hover: {
+		mode: 'label'
+	},
+
+	datasets: {
+		categoryPercentage: 0.8,
+		barPercentage: 0.9,
+		animation: {
+			numbers: {
+				type: 'number',
+				properties: ['x', 'y', 'base', 'width', 'open', 'high', 'low', 'close']
+			}
+		}
+	},
+
+	scales: {
+		x: {
+			type: 'timeseries',
+			offset: true,
+			ticks: {
+				major: {
+					enabled: true,
+				},
+				fontStyle: context => context.tick.major ? 'bold' : undefined,
+				source: 'data',
+				maxRotation: 0,
+				autoSkip: true,
+				autoSkipPadding: 75,
+				sampleSize: 100
+			},
+			afterBuildTicks: scale => {
+				const DateTime = window && window.luxon && window.luxon.DateTime;
+				if (!DateTime) {
+					return;
+				}
+				const majorUnit = scale._majorUnit;
+				const ticks = scale.ticks;
+				const firstTick = ticks[0];
+				if (!firstTick) {
+					return;
+				}
+
+				let val = DateTime.fromMillis(firstTick.value);
+				if ((majorUnit === 'minute' && val.second === 0)
+						|| (majorUnit === 'hour' && val.minute === 0)
+						|| (majorUnit === 'day' && val.hour === 9)
+						|| (majorUnit === 'month' && val.day <= 3 && val.weekday === 1)
+						|| (majorUnit === 'year' && val.month === 1)) {
+					firstTick.major = true;
+				} else {
+					firstTick.major = false;
+				}
+				let lastMajor = val.get(majorUnit);
+
+				for (let i = 1; i < ticks.length; i++) {
+					const tick = ticks[i];
+					val = DateTime.fromMillis(tick.value);
+					const currMajor = val.get(majorUnit);
+					tick.major = currMajor !== lastMajor;
+					lastMajor = currMajor;
+				}
+				scale.ticks = ticks;
+			}
+		},
+		y: {
+			type: 'linear'
+		}
+	},
+
+	plugins: {
+		tooltip: {
+			intersect: false,
+			mode: 'index',
+			callbacks: {
+				label(ctx) {
+					const point = ctx.parsed;
+
+					if (!helpers.isNullOrUndef(point.y)) {
+						return chart_js.defaults.plugins.tooltip.callbacks.label(ctx);
+					}
+
+					const {o, h, l, c} = point;
+
+					return `O: ${o}  H: ${h}  L: ${l}  C: ${c}`;
+				}
+			}
+		}
+	}
+};
+
+const globalOpts$2 = chart_js.Chart.defaults;
+
+globalOpts$2.elements.financial = {
+	color: {
+		up: 'rgba(255, 0, 0, 1)',
+		down: 'rgba(0, 0, 255, 1)',
+		unchanged: 'rgba(90, 90, 90, 1)',
+	}
+};
+
+/**
+ * Helper function to get the bounds of the bar regardless of the orientation
+ * @param {Rectangle} bar the bar
+ * @param {boolean} [useFinalPosition]
+ * @return {object} bounds of the bar
+ * @private
+ */
+function getBarBounds(bar, useFinalPosition) {
+	const {x, y, base, width, height} = bar.getProps(['x', 'low', 'high', 'width', 'height'], useFinalPosition);
+
+	let left, right, top, bottom, half;
+
+	if (bar.horizontal) {
+		half = height / 2;
+		left = Math.min(x, base);
+		right = Math.max(x, base);
+		top = y - half;
+		bottom = y + half;
+	} else {
+		half = width / 2;
+		left = x - half;
+		right = x + half;
+		top = Math.min(y, base); // use min because 0 pixel at top of screen
+		bottom = Math.max(y, base);
+	}
+
+	return {left, top, right, bottom};
+}
+
+function inRange(bar, x, y, useFinalPosition) {
+	const skipX = x === null;
+	const skipY = y === null;
+	const bounds = !bar || (skipX && skipY) ? false : getBarBounds(bar, useFinalPosition);
+
+	return bounds
+		&& (skipX || x >= bounds.left && x <= bounds.right)
+		&& (skipY || y >= bounds.top && y <= bounds.bottom);
+}
+
+class FinancialElement extends chart_js.Element {
+
+	height() {
+		return this.base - this.y;
+	}
+
+	inRange(mouseX, mouseY, useFinalPosition) {
+		return inRange(this, mouseX, mouseY, useFinalPosition);
+	}
+
+	inXRange(mouseX, useFinalPosition) {
+		return inRange(this, mouseX, null, useFinalPosition);
+	}
+
+	inYRange(mouseY, useFinalPosition) {
+		return inRange(this, null, mouseY, useFinalPosition);
+	}
+
+	getRange(axis) {
+		return axis === 'x' ? this.width / 2 : this.height / 2;
+	}
+
+	getCenterPoint(useFinalPosition) {
+		const {x, low, high} = this.getProps(['x', 'low', 'high'], useFinalPosition);
+		return {
+			x,
+			y: (high + low) / 2
+		};
+	}
+
+	tooltipPosition(useFinalPosition) {
+		const {x, open, close} = this.getProps(['x', 'open', 'close'], useFinalPosition);
+		return {
+			x,
+			y: (open + close) / 2
+		};
+	}
+}
+
+const globalOpts$1 = chart_js.Chart.defaults;
+
+class CandlestickElement extends FinancialElement {
+	draw(ctx) {
+		const me = this;
+
+		const {x, open, high, low, close} = me;
+
+		let borderColors = me.borderColor;
+		if (typeof borderColors === 'string') {
+			borderColors = {
+				up: borderColors,
+				down: borderColors,
+				unchanged: borderColors
+			};
+		}
+
+		let borderColor;
+		if (close < open) {
+			borderColor = helpers.valueOrDefault(borderColors ? borderColors.up : undefined, globalOpts$1.elements.candlestick.borderColor);
+			ctx.fillStyle = helpers.valueOrDefault(me.color ? me.color.up : undefined, globalOpts$1.elements.candlestick.color.up);
+		} else if (close > open) {
+			borderColor = helpers.valueOrDefault(borderColors ? borderColors.down : undefined, globalOpts$1.elements.candlestick.borderColor);
+			ctx.fillStyle = helpers.valueOrDefault(me.color ? me.color.down : undefined, globalOpts$1.elements.candlestick.color.down);
+		} else {
+			borderColor = helpers.valueOrDefault(borderColors ? borderColors.unchanged : undefined, globalOpts$1.elements.candlestick.borderColor);
+			ctx.fillStyle = helpers.valueOrDefault(me.color ? me.color.unchanged : undefined, globalOpts$1.elements.candlestick.color.unchanged);
+		}
+
+		ctx.lineWidth = helpers.valueOrDefault(me.borderWidth, globalOpts$1.elements.candlestick.borderWidth);
+		ctx.strokeStyle = helpers.valueOrDefault(borderColor, globalOpts$1.elements.candlestick.borderColor);
+
+		ctx.beginPath();
+		ctx.moveTo(x, high);
+		ctx.lineTo(x, Math.min(open, close));
+		ctx.moveTo(x, low);
+		ctx.lineTo(x, Math.max(open, close));
+		ctx.stroke();
+		ctx.fillRect(x - me.width / 2, close, me.width, open - close);
+		ctx.strokeRect(x - me.width / 2, close, me.width, open - close);
+		ctx.closePath();
+	}
+}
+
+CandlestickElement.id = 'candlestick';
+CandlestickElement.defaults = helpers.merge({}, [globalOpts$1.elements.financial, {
+	borderColor: globalOpts$1.elements.financial.color.unchanged,
+	borderWidth: 1,
+}]);
+
+class CandlestickController extends FinancialController {
+
+	updateElements(elements, start, count, mode) {
+		const me = this;
+		const dataset = me.getDataset();
+		const ruler = me._ruler || me._getRuler();
+		const firstOpts = me.resolveDataElementOptions(start, mode);
+		const sharedOptions = me.getSharedOptions(firstOpts);
+		const includeOptions = me.includeOptions(mode, sharedOptions);
+
+		me.updateSharedOptions(sharedOptions, mode, firstOpts);
+
+		for (let i = start; i < count; i++) {
+			const options = sharedOptions || me.resolveDataElementOptions(i, mode);
+
+			const lineColor = (elements[i]['close'] - elements[i]['open'] < 0)? "rgb(255, 0, 0, 1)" : "rgb(0, 0, 255, 1)";
+
+			const baseProperties = me.calculateElementProperties(i, ruler, mode === 'reset', options);
+			const properties = {
+				...baseProperties,
+				datasetLabel: dataset.label || '',
+				// label: '', // to get label value please use dataset.data[index].label
+
+				// Appearance
+				color: dataset.color,
+				borderColor: lineColor,
+				// borderColor: dataset.borderColor,
+				borderWidth: dataset.borderWidth,
+			};
+
+			if (includeOptions) {
+				properties.options = options;
+			}
+			me.updateElement(elements[i], i, properties, mode);
+		}
+	}
+
+}
+
+CandlestickController.id = 'candlestick';
+CandlestickController.defaults = helpers.merge({
+	dataElementType: CandlestickElement.id
+}, chart_js.Chart.defaults.financial);
+
+const globalOpts = chart_js.Chart.defaults;
+
+class OhlcElement extends FinancialElement {
+	draw(ctx) {
+		const me = this;
+
+		const {x, open, high, low, close} = me;
+
+		const armLengthRatio = helpers.valueOrDefault(me.armLengthRatio, globalOpts.elements.ohlc.armLengthRatio);
+		let armLength = helpers.valueOrDefault(me.armLength, globalOpts.elements.ohlc.armLength);
+		if (armLength === null) {
+			// The width of an ohlc is affected by barPercentage and categoryPercentage
+			// This behavior is caused by extending controller.financial, which extends controller.bar
+			// barPercentage and categoryPercentage are now set to 1.0 (see controller.ohlc)
+			// and armLengthRatio is multipled by 0.5,
+			// so that when armLengthRatio=1.0, the arms from neighbour ohcl touch,
+			// and when armLengthRatio=0.0, ohcl are just vertical lines.
+			armLength = me.width * armLengthRatio * 0.5;
+		}
+
+		if (close < open) {
+			ctx.strokeStyle = helpers.valueOrDefault(me.color ? me.color.up : undefined, globalOpts.elements.ohlc.color.up);
+		} else if (close > open) {
+			ctx.strokeStyle = helpers.valueOrDefault(me.color ? me.color.down : undefined, globalOpts.elements.ohlc.color.down);
+		} else {
+			ctx.strokeStyle = helpers.valueOrDefault(me.color ? me.color.unchanged : undefined, globalOpts.elements.ohlc.color.unchanged);
+		}
+		ctx.lineWidth = helpers.valueOrDefault(me.lineWidth, globalOpts.elements.ohlc.lineWidth);
+
+		ctx.beginPath();
+		ctx.moveTo(x, high);
+		ctx.lineTo(x, low);
+		ctx.moveTo(x - armLength, open);
+		ctx.lineTo(x, open);
+		ctx.moveTo(x + armLength, close);
+		ctx.lineTo(x, close);
+		ctx.stroke();
+	}
+}
+
+OhlcElement.id = 'ohlc';
+OhlcElement.defaults = helpers.merge({}, [globalOpts.elements.financial, {
+	lineWidth: 2,
+	armLength: null,
+	armLengthRatio: 0.8,
+}]);
+
+class OhlcController extends FinancialController {
+
+	updateElements(elements, start, count, mode) {
+		const me = this;
+		const dataset = me.getDataset();
+		const ruler = me._ruler || me._getRuler();
+		const firstOpts = me.resolveDataElementOptions(start, mode);
+		const sharedOptions = me.getSharedOptions(firstOpts);
+		const includeOptions = me.includeOptions(mode, sharedOptions);
+
+		for (let i = 0; i < count; i++) {
+			const options = sharedOptions || me.resolveDataElementOptions(i, mode);
+
+			const baseProperties = me.calculateElementProperties(i, ruler, mode === 'reset', options);
+			const properties = {
+				...baseProperties,
+				datasetLabel: dataset.label || '',
+				lineWidth: dataset.lineWidth,
+				armLength: dataset.armLength,
+				armLengthRatio: dataset.armLengthRatio,
+				color: dataset.color,
+			};
+
+			if (includeOptions) {
+				properties.options = options;
+			}
+			me.updateElement(elements[i], i, properties, mode);
+		}
+	}
+
+}
+
+OhlcController.id = 'ohlc';
+OhlcController.defaults = helpers.merge({
+	dataElementType: OhlcElement.id,
+	datasets: {
+		barPercentage: 1.0,
+		categoryPercentage: 1.0
+	}
+}, chart_js.Chart.defaults.financial);
+
+chart_js.Chart.register(CandlestickController, OhlcController, CandlestickElement, OhlcElement);
+
+})));

static/js/index.js

@@ -0,0 +1,274 @@
+/* 
+    [ jQuery ]
+    웹사이트에 자바스크립트를 쉽게 활용할 수 있도록 도와주는 오픈소스 기반의 자바스크립트 라이브러리
+
+    [ 최근 Trends + 비슷한 종류 ]
+    1. Lodash
+    2. Moment
+    3. jQuery
+    4. date-fns
+    5. RxJS
+*/
+
+
+
+
+
+/*
+    ".ready()"는 DOM(Document Object Model)이 완전히 불러와지면 실행되는 Event 이다.
+
+    일반적으로 브라우저가 HTML을 보여주기 위해서는 
+    먼저 문서 구조를 만들고 만들어진 문서 구조 위에 디자인을 입히는 형식을 취한다.
+
+    이 과정에서 디자인이 입혀지지 않은 상태로 문서 구조가 만들어진 시점에 시행되는 Event가 ".ready()" 이다.
+
+
+    jQuery 3.0 버전 이후부터는 "$(handler)" 구문만 권장
+    ".read()" Event는 1.8 버전에서는 deprecated 되었으며 3.0에서는 지원하지 않기 때문
+    ( 근데 여기서는 실행 문제 잘됨 )
+*/
+
+// $(document).ready(function() { });
+$(function() {
+    console.log("Start debug !!");
+
+    // 세 번째 인자 : 파이썬에서 return 값 처리
+    sendAjax("/submit", {"input_text": "This is a news article about Apple."}, handleOutput);
+    
+    stocksInit();
+    calendarInit();
+});
+
+
+
+
+
+
+function handleOutput(output) {
+    console.log(output["output"]);
+}
+function handleReturn(output) {
+    // console.log("handle return ");
+
+    // console.log("close : ", output.close);
+    // console.log("diff : ", output.diff);
+    // console.log("name[0] : ", output.name[0]);
+
+    return output;
+}
+
+
+
+function stocksInit() {
+    // Javascript -> Flask (Python) -> Javascript
+    output = sendAjax_async("/stocks", "json", handleReturn);
+
+    console.log("stocksInit() Output : ", output);
+    console.log(typeof output);
+    
+    // Ticker 길이 확인해보기
+    var object_length = Object.keys(output.ticker).length;
+    console.log(object_length);
+
+
+    // 랜더링 HTML 요소 생성
+    stocks = document.querySelector('.stocks');
+    stocks.innerHTML = '';
+
+    // "HTML"에 요소 추가
+    for (var i = 0; i < object_length; i++) {
+        stocks.innerHTML = stocks.innerHTML + '<div class="stock ticker"></div>';
+        stocks.innerHTML = stocks.innerHTML + '<div class="stock name">' + output.name[i] + '</div>';
+        if (output.diff[i] > 0) {
+            stocks.innerHTML = stocks.innerHTML + '<div class="stock diff up">' + '+' + output.diff[i] + ' %' + '</div>';
+        }
+        else { stocks.innerHTML = stocks.innerHTML + '<div class="stock diff down">' + output.diff[i] + ' %' + '</div>'; }
+        stocks.innerHTML = stocks.innerHTML + '<div class="stock open">' + output.open[i] + '</div>';
+        stocks.innerHTML = stocks.innerHTML + '<div class="stock close">' + output.close[i] + '</div>';
+        stocks.innerHTML = stocks.innerHTML + '<div class="stock sector">' + output.sector[i] + '</div>';
+        stocks.innerHTML = stocks.innerHTML + '<div class="stock industry">' + output.industry[i] + '</div>';
+
+        // Add ticker's chart link
+        link = String('"/'.concat(output.ticker[i], '"'));
+        stock = document.querySelectorAll('.stock.ticker')[i];
+        stock.innerHTML = '';
+        stock.innerHTML = stock.innerHTML + '<a href='.concat(link, '>') + output.ticker[i] + '</a>';
+    }
+}
+
+
+
+
+
+
+
+/*
+    달력 렌더링 할 때 필요한 정보 목록
+
+    현재 월 (초기값 : 현재 시간)
+    금월 마지막일 날짜와 요일
+    전월 마지막일 날짜와 요일
+*/
+
+function calendarInit() {
+
+    // 날짜 정보 가져오기
+    var date = new Date(); // 현재 날짜(로컬 기준) 가져오기
+    var utc = date.getTime() + (date.getTimezoneOffset() * 60 * 1000); // utc 표준시 도출
+    var kstGap = 9 * 60 * 60 * 100; // 한국 kst 기준시간 더하기
+    var today = new Date(utc + kstGap); // 한국 시간으로 date 객체 만들기(오늘)
+
+    console.log("Today : ", today)
+
+    // 달력에서 표기하는 날짜 객체
+    var thisMonth = new Date(today.getFullYear(), today.getMonth(), today.getDate());
+
+    var currentYear = thisMonth.getFullYear(); // 달력에서 표기하는 연
+    var currentMonth = thisMonth.getMonth(); // 달력에서 표기하는 월
+    var currentDate = thisMonth.getDate(); // 달력에서 표기하는 일
+
+    // kst 기준 현재시간
+    console.log("thisMonth");
+    console.log(currentYear);
+    console.log(currentMonth); // monthIndex
+    console.log(currentDate);
+    console.log(thisMonth);
+
+    // 캘린더 랜더링
+    renderCalender(thisMonth);
+
+
+    ////////////////////////////////////////////////////////////////
+
+    function renderCalender(thisMonth, help=0) {
+
+        // 랜더링을 위한 데이터 정리
+        currentYear = thisMonth.getFullYear();
+        currentMonth = thisMonth = thisMonth.getMonth();
+        if (help != 1) {
+            // currentDate = thisMonth.getDate(); // 1 - 31 : 1 - 31
+            currentDate = new Date(today.getFullYear(), today.getMonth(), today.getDate()).getDate();
+        }
+
+        // 이전 달의 마지막날 날짜와 요일 구하기
+        var startDay = new Date(currentYear, currentMonth, 0);
+        var prevDate = startDay.getDate(); // 1 - 31 : 1 - 31
+        var prevDay = startDay.getDay(); // Sunday - Saturday : 0 - 6
+
+        // 이번 달의 마지막날 날짜와 요일 구하기
+        var endDay = new Date(currentYear, currentMonth + 1 , 0);
+        var nextDate = endDay.getDate(); // 1 - 31 : 1 - 31
+        var nextDay = endDay.getDay(); // Sunday - Saturday : 0 - 6
+
+        // console.log(prevDate, prevDay, nextDate, nextDay, currentMonth);
+
+        // 현재 월 표기
+        $('.year-month').text(currentYear + '.' + (currentMonth + 1));
+
+        // 랜더링 html 요소 생성
+        calendar = document.querySelector('.dates')
+        calendar.innerHTML = '';
+
+        // 지난달
+        for (var i = prevDate - prevDay + 1; i <= prevDate; i++) {
+            calendar.innerHTML = calendar.innerHTML + '<div class="day prev disable">' + i + '</div>'
+        }
+
+        // 이번달
+        for (var i = 1; i <= nextDate; i++) {
+            calendar.innerHTML = calendar.innerHTML + '<div class="day current">' + i + '</div>'
+        }
+
+        // 다음달
+        for (var i = 1; i <= (7 - nextDay == 7 ? 0 : 7 - nextDay); i++) {
+            calendar.innerHTML = calendar.innerHTML + '<div class="day next disable">' + i + '</div>'
+        }
+
+        // 오늘 날짜 표기
+        if (today.getMonth() == currentMonth) {
+            todayDate = today.getDate();
+            var currentMonthDate = document.querySelectorAll('.dates .current'); // 중간 띄어쓰기 주의
+            // var currentMonthDate = document.querySelectorAll('div.day.current'); // 같은 의미
+
+            // console.log(currentMonthDate)
+            currentMonthDate[todayDate-1].classList.add('today');
+        }
+
+        // 이전달로 이동
+        $('.go-prev').on('click', function() {
+            if (help == 0) {
+                thisMonth = new Date(currentYear, currentMonth - 1, 1);
+                renderCalender(thisMonth, 1);
+            }
+            else {
+                renderCalender(thisMonth, 1);
+            }
+        })
+
+        // 다음달로 이동
+        $('.go-next').on('click', function() {
+            if (help == 0) {
+                thisMonth = new Date(currentYear, currentMonth + 1, 1);
+                renderCalender(thisMonth, 1);
+            }
+            else {
+                renderCalender(thisMonth, 1);
+            }
+        })
+    }
+}
+
+
+
+
+
+
+/**
+ * 
+ * @param {string} url from javascript to flask(python) with route
+ * @param {dictionary} data from javascript to flask(python) with data
+ * @param {function} handle 큰 의미 없음
+ */
+function sendAjax(url, data, handle) {
+    /*
+        jQuery.getJSON(url, [, data], [, success])
+
+        Load JSON-encoded data from the server using a GET HTTP request.
+    */
+
+    $.getJSON(url, data, 
+        function(response) {
+            handle(response.result);
+        });
+}
+
+
+/**
+ * 
+ * @param {string} url from javascript to flask(python) with route
+ * @param {dictionary} data from javascript to flask(python) with data
+ * @param {string} dataType The type of data that you're expecting back from the server. (ex. "json")
+ * @param {function} handle 큰 의미 없음
+ * @returns from flask(python) to javascript with data
+ */
+function sendAjax_async(url, data, dataType, handle) {
+    /*
+        jQuery.ajax(url, [, settings])
+
+        jQuery.getJSON => Asynchronous (비동기식)
+        
+        Synchronous => 동기식 : 코드 순서대로 진행
+    */
+
+    var search_var;
+    console.log("Internal : sendAjax async");
+
+    $.ajax(url=url, settings={data: data, dataType: dataType, async: false,
+        success: function(response) {
+            console.log("Success : ", typeof response);
+            search_var = handle(response.result); // handle, 큰 의미 없음
+        }
+    });
+    
+    return search_var
+}

static/js/news.js

@@ -0,0 +1,248 @@
+// jQuery
+// $(document).ready(function() { });
+$(function() {
+    console.log("Start News's Title !");
+    newsInit();
+});
+
+
+
+
+
+function newsInit() {
+    // Ticker 이름 가져오기
+    // 해당 class의 text 가져오기
+    let ticker = document.querySelector('.goticker .tickerName').textContent;
+    let date = document.querySelector('.titleDate').textContent;
+    let title = document.querySelector('.titleName').textContent;
+    let url = document.querySelector('.NewsURL').textContent;
+
+    ticker = ticker;
+    date = date.substring(6, date.length);
+    title = title.substring(7, title.length);
+    url = url.substring(5, url.length);
+
+    console.log(ticker);
+    console.log(date);
+    console.log(title);
+    console.log(url);
+
+
+    //////////////////////////////////////////////////////////////////////
+    
+    // Javascript를 이용해 HTML에 동적으로 태그 추가
+
+
+
+    // a 태그 onclick 적용
+    const goticker = document.querySelector('.goticker');
+    let stockURL = '/'.concat(ticker);
+    goticker.setAttribute('href', stockURL);
+
+
+    // a 태그에 URL 적용
+    const addURL = document.querySelector('.NewsURL .input-News-URL');
+    addURL.setAttribute('href', url);
+
+
+    // 모델에서 질문 예시 Ticker에 알맞게 작성하기
+    const example_value = document.querySelector('#model .text-form #text-input');
+    example = "Why did " + ticker + "'s stock go down?";
+    example_value.setAttribute('value', example);
+
+
+    //////////////////////////////////////////////////////////////////////
+    // NER 관련
+
+    ents = sendAjax_async('/ner', {'ticker': ticker, 'date': date, 'title': title}, dataType="json", handle=handleReturn);
+    // ents = {'text': [], 'start_char': [], 'end_char': [], 'label_': [], 'news': []}
+    console.log(ents);
+
+    let news = ents['news'];
+    let numOfNER = ents['text'].length;
+
+
+    // 랜더링 html 요소 생성
+    news_ner = document.querySelector('.entities');
+    news_ner.innerHTML = '';
+
+    for (i=0; i<numOfNER-1; i++) {
+        start_idx = (i == 0) ? 0 : ents['end_char'][i-1];
+        end_idx = ents['start_char'][i];
+        last_idx = ents['end_char'][i];
+
+        label = ents['label_'][i];
+        if (label == 'ORG') { class_name = "entity_org"; }
+        else if (label == 'PERSON') { class_name = "entity_person"; }
+        else if (label == 'FAC') { class_name = "entity_fac"; }
+        else if (label == 'GPE') { class_name = "entity_gpe"; }
+        else if (label == 'PRODUCT') { class_name = "entity_product"; }
+        else { console.log("[ Error !!! - New NER label_ ] : ", ents['label_'][i], ents['text'][i]); class_name = "none"; }
+
+        news_ner.innerHTML = news_ner.innerHTML + news.substring(start_idx, end_idx);
+        news_ner.innerHTML = news_ner.innerHTML + '<mark class=' + class_name
+            + ' style="margin: 0 0.25em; line-height: 1;">'
+            + news.substring(end_idx, last_idx) 
+            + '<span class="show-label" style="font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem">'
+            + label + '</span></mark>';
+    }
+    news_ner.innerHTML = news_ner.innerHTML + news.substring(ents['end_char'][numOfNER-1]);
+    
+
+
+
+
+
+
+
+
+
+
+
+    //////////////////////////////////////////////////////////////////////
+    // 모델 적용 내용 ( Submit )
+
+    var sendTitle = title; // Javascript -> Python 보내기 위한 title
+
+            
+    // title에서 & 표시가 있을 수 있음.
+    // Title 에서 '&'로 표시되어 있는데 따로 구별해야 된다.
+    // andSymbolInTitle 에서 가져온 '&' 위치 index를 title과 합쳐준다.
+    andSymbolInTitle = [];
+    let idx = 0;
+    // title = "asdf&asdf&AS&DF&&";
+    // sendTitle = title;
+
+    while (true) {
+        idx = sendTitle.indexOf('&', idx);
+        if (idx == -1) { break; }
+        sendTitle = sendTitle.substring(0, idx) + sendTitle.substring(idx+1, sendTitle.length);
+        console.log(sendTitle);
+        andSymbolInTitle.push(idx + andSymbolInTitle.length);
+    }
+
+    console.log(andSymbolInTitle);
+    console.log("Last String", sendTitle);
+
+
+
+    // function 앞에 "async"를 붙이면 해당 함수는 항상 프라미스를 반환한다.
+    const translateText = async (text) => {
+        // 목적 : Flask에 input을 보내주고 output을 받아오는 과정
+        console.log("Start translateText async");
+
+        // "await"는 "async" 함수 안에서만 동작한다.
+        // "await" 키워드를 만나면 Promise가 처리될 때까지 기다린다.
+        // Promise가 처리되길 기다리는 동안엔 엔진이 다른일(다른 스크립트를 실행, 이벤트 처리 등)을 할 수 있기 때문에, CPU 리소스가 낭비되지 않는다.
+        const inferResponse = await fetch(`newsQuestions?ticker=${ticker}&date=${date}&title=${sendTitle}&andSymbolInTitle=${andSymbolInTitle}&questions=${text}`); // Javascript -> Flask(python)
+        
+        // console.log("inferResponse : ", inferResponse);
+
+        const inferJson = await inferResponse.json(); // Flask(python) -> Javascript
+
+        // console.log(inferJson);
+        return inferJson.result['answer'];
+    };
+
+
+    /* 모델 Submit button 관련 내용 */
+    // form 태그의 class 이름
+    const textForm = document.querySelector('.text-form');
+
+
+    // addEventListener(type, listener)
+    // addEventListener(type, listener, options)
+    // addEventListener(type, listener, useCapture)
+    textForm.addEventListener('submit', async (event) => {
+        event.preventDefault();
+        // console.log(event);
+
+        // html -> javascript : input 받아와서 output 보내기
+        const textInput = document.getElementById('text-input');
+        const textParagraph = document.querySelector('.text-output');
+
+        console.log("textInput : ", textInput, textInput.value);
+        try {
+            // sendAjax("/inference", {"input_text" : textInput.value}, handleOutput);
+            
+            // "await"는 "async" 함수 안에서만 동작한다.
+            // "await" 키워드를 만나면 Promise가 처리될 때까지 기다린다.
+            // Promise가 처리되길 기다리는 동안엔 엔진이 다른일(다른 스크립트를 실행, 이벤트 처리 등)을 할 수 있기 때문에, CPU 리소스가 낭비되지 않는다.
+            const answer = await translateText(textInput.value); // Flask에 input을 보내주고 output을 받아오는 과정
+            
+            console.log("Answer : ", answer);
+            textParagraph.textContent = answer;
+        } catch (err) {
+            console.error(err);
+        }
+    });
+
+
+
+
+
+
+}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+/**
+ * 
+ * @param {string} url from javascript to flask(python) with route
+ * @param {dictionary} data from javascript to flask(python) with data
+ * @param {function} handle 큰 의미 없음
+ */
+function sendAjax(url, data, handle) {
+    /*
+        jQuery.getJSON(url, [, data], [, success])
+
+        Load JSON-encoded data from the server using a GET HTTP request.
+    */
+
+    $.getJSON(url, data, 
+        function(response) {
+            handle(response.result);
+        });
+}
+
+
+/**
+ * 
+ * @param {string} url from javascript to flask(python) with route
+ * @param {dictionary} data from javascript to flask(python) with data
+ * @param {string} dataType The type of data that you're expecting back from the server. (ex. "json")
+ * @param {function} handle 큰 의미 없음
+ * @returns from flask(python) to javascript with data
+ */
+function sendAjax_async(url, data, dataType, handle) {
+    /*
+        jQuery.ajax(url, [, settings])
+
+        jQuery.getJSON => Asynchronous (비동기식)
+        
+        Synchronous => 동기식 : 코드 순서대로 진행
+    */
+
+    var search_var;
+    console.log("Internal : sendAjax async");
+
+    $.ajax(url=url, settings={data: data, dataType: dataType, async: false,
+        success: function(response) {
+            console.log("Success : ", typeof response);
+            search_var = handle(response.result); // handle, 큰 의미 없음
+        }
+    });
+    
+    return search_var
+}

templates/chart.html

@@ -0,0 +1,164 @@
+<!-- html 태그 : HTML로 작성되어 있다는 것을 알려줌 -->
+<!-- html 태그 : html 파일 전체를 감싸는 태그 -->
+<html>
+    <!-- head 태그 : 머리말에 해당 -->
+    <!-- head 태그 : css나 javascript를 연결해줌 -->
+    <!-- head 태그 : 파비콘이나 문자열 인코딩과 같은 문서의 다양한 정보를 제공 -->
+    <head>
+
+        <!-- link 태그 : 주로 외부 css 파일을 연결할 때 사용 -->
+        <link rel="stylesheet" href="static/css/chartStyle.css" />
+
+
+        <!-- jQuery -->
+        <script src='//cdnjs.cloudflare.com/ajax/libs/jquery/3.6.0/jquery.min.js'></script>
+        <!-- script 태그 : 외부 js 파일을 연결하거나 javascript 코드를 입력할 때 사용 -->
+        <script type="text/javascript" src="static/js/chartIndex.js"></script>
+
+
+
+
+
+
+
+        <!-- Recharts -->
+        <!-- <script src="https://unpkg.com/react/umd/react.production.min.js"></script>
+        <script src="https://unpkg.com/react-dom/umd/react-dom.production.min.js"></script>
+
+        <script src="https://unpkg.com/prop-types/prop-types.min.js"></script>
+        <script src="https://unpkg.com/recharts/umd/Recharts.js"></script> -->
+
+        <!-- <script src="https://unpkg.com/recharts/umd/Recharts.min.js"></script> -->
+
+
+
+
+
+
+        <script src="https://cdn.jsdelivr.net/npm/luxon@1.26.0"></script>
+		<script src="https://cdn.jsdelivr.net/npm/chart.js@3.0.1/dist/chart.js"></script>
+		<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-luxon@1.0.0"></script>
+		<script src="static/js/chartjs-chart-financial.js" type="text/javascript"></script>
+
+
+
+
+        <!-- 보류 모르겠음 ... -->
+
+        <!-- ========================================================================================= -->
+
+
+        <!-- Include Chart.js from a CDN -->
+
+        <!-- <script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/4.2.1/chart.min.js"></script> -->
+        <!-- <script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/4.2.1/chart.js"></script> -->
+        <!-- <script src="https://cdn.jsdelivr.net/npm/chart.js"></script> -->
+
+
+        <!-- <script src="https://cdn.jsdelivr.net/npm/luxon@1.26.0"></script>
+		<script src="https://cdn.jsdelivr.net/npm/chart.js@3.0.1/dist/chart.js"></script>
+		<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-luxon@1.0.0"></script>
+
+
+        <script src="https://cdn.jsdelivr.net/npm/luxon@1.26.0"></script>
+		<script src="https://cdn.jsdelivr.net/npm/chart.js@3.0.1/dist/chart.js"></script>
+		<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-luxon@1.0.0"></script>
+
+		<script src="https://www.chartjs.org/chartjs-chart-financial/chartjs-chart-financial.js"></script> -->
+
+
+        
+        <!--
+            CDN : Content Delivery Network
+            지리적 제약 없이 전 세계 사용자에게 빠르고 안전하게 콘텐츠를 전송할 수 있는 '콘텐츠 전송 기술을 의미'
+            서버와 사용자 사이의 물리적인 거리를 줄여 콘텐츠 로딩에 소요되는 시간을 최소화한다.
+        -->
+    </head>
+
+
+
+
+
+    <!-- body 태그 : 본문에 해당하는 부분, 실제 보여지는 화면에 해당 -->
+    <body>
+        <h1><a class="gohome" href="/">Stock News Summaries AI</a></h1>
+        <a class="goticker"><h2 class="tickerName">{{embed}}</h2></a>
+        <h3 class="practice"></h3>
+
+        <div>
+            <div id="chart-container" width="974" height="486"></div>
+
+            <div class="myChart-container">
+                <canvas id="myChart"></canvas>
+            </div>
+
+        </div>
+
+
+
+
+
+        <!--
+            [ 속성 ]
+
+            align : 정렬을 지정한다. (left, center, right)
+            border : 테두리 선의 두께를 지정한다.
+            bgcolor : 배경색을 지정한다. (색은 "red", "black" 처럼 기존의 정의되어있는 색을 사용할 수도 있으며
+                        rgb형식의 #000000 으로도 색을 지정할 수 있다.)
+            bordercolor : 테두리 선의 색을 지정한다. 색을 지정하는 방법은 bgcolor와 동일하다.
+            cellspacing : 셀간의 간격을 지정한다.
+            width : 가로 길이를 지정한다. (상수 값을 입력할 수도, % 단위로 입력할 수 있다.
+                    %를 사용할 때는 웹브라우저 크기에 대한 % 이다.)
+            height : 세로 길이를 지정한다.
+            rawspan : 지정한 값만큼 행을 병합한다. (위아래로)
+            colspan : 지정한 값만큼 열을 병합한다. (좌우로)
+        -->
+
+
+
+
+
+
+        
+        <!-- table 태그 : 테이블을 만든다. -->
+        <table class="table"
+
+            text-align="center"
+            align-items="center"
+            justify-content="center"
+
+            border="1"
+            width="90%"
+            height="200"
+            cellspacing="5">
+
+
+            <!-- caption 태그 : 테이블 이름 표시 -->
+            <caption class="table-title"></caption>
+
+            <!-- 테이블의 헤더 영역 지정 -->
+            <thread>
+                <!-- tr 태그 : 테이블읠 행(가로 한줄)을 만든다. -->
+                <tr align="center" bgcolor="white">
+                    <!-- td 태그 : 테이블의 열을 만든다. -->
+                    <td width="5%"></td>
+
+                    <!-- th 태그 : 테이블(표)의 헤드 부분(자동으로 가운데 정렬, 굵게 적용) -->
+                    <th width="10%">Date</th>
+                    <th width="10%">Diff</th>
+                    <th class="title-width">Articles</th>
+                </tr>
+            </thread>
+
+            <!-- tbody 태그 : -->
+            <tbody class="news-table">
+
+                <!-- News: Date, Diff, Title 추가 -->
+
+            </tbody>
+
+        </table>
+
+
+    </body>
+</html>

templates/index.html

@@ -0,0 +1,106 @@
+<!-- html 태그 : HTML로 작성되어 있다는 것을 알려줌 -->
+<!-- html 태그 : html 파일 전체를 감싸는 태그 -->
+<html>
+
+
+    <!-- head 태그 : 머리말에 해당 -->
+    <!-- head 태그 : css나 javascript를 연결해줌 -->
+    <!-- head 태그 : 파비콘이나 문자열 인코딩과 같은 문서의 다양한 정보를 제공 -->
+    <head>
+
+        <!-- link 태그 : 주로 외부 css 파일을 연결할 때 사용 -->
+        <link rel="stylesheet" href="static/css/style.css" />
+
+        <!-- jQuery -->
+        <script src='//cdnjs.cloudflare.com/ajax/libs/jquery/3.6.0/jquery.min.js'></script>
+        <!-- script 태그 : 외부 js 파일을 연결하거나 javascript 코드를 입력할 때 사용 -->
+        <script type="text/javascript" src="static/js/index.js"></script>
+
+    </head>
+
+
+
+
+    <!-- body 태그 : 본문에 해당하는 부분, 실제 보여지는 화면에 해당 -->
+    <body>
+        <h1><a class="gohome" href="" onclick="sendAjax('/', undefined, undefined);"> Stock News NER & Analysis </a></h1>
+        <p id='embed'>{{embed}}</p>
+
+        <p id='mylog'/>
+        
+
+        <!-- [ id class 차이 ] -->
+        <!-- id : 한 문서에 단 하나의 요소에만 적용(중복X) -->
+        <!-- id : 특정 요소에 이름을 붙이는데 사용 -->
+        <!-- class : 동일한 값을 갖는 요소 많음 -->
+        <!-- class : 스타일의 분류에 사용 -->
+
+
+        <div class="stocks_wrap">
+            <div class="stocks_columns">
+                <div class="column ticker">Ticker</div>
+                <div class="column name">Name</div>
+                <div class="column dff">Diff</div>
+                <div class="column open">Open</div>
+                <div class="column close">Close</div>
+                <div class="column sector">Sector</div>
+                <div class="column industry">Industry</div>
+            </div>
+
+            <div class="stocks"></div>
+        </div>
+
+
+
+
+
+
+        <!-- div 태그 : 상자를 만듬 -->
+        <div class="sec_cal">
+
+            <div class="cal_nav">
+                <!-- a 태그 : 클릭시 다른 주소로 이동하는 태그 -->
+                <!-- a href는 통상 URL을 명시할 때 사용하지만 javascript를 사용할 때도 쓴다. -->
+                <a href="javascript:;" class="nav-btn go-prev">prev</a>
+                <div class="year-month"></div>
+                <a href="javascript:;" class="nav-btn go-next">next</a>
+            </div>
+
+            <div class="cal_wrap">
+                <div class="days">
+                    <div class="day">MON</div>
+                    <div class="day">TUE</div>
+                    <div class="day">WED</div>
+                    <div class="day">THU</div>
+                    <div class="day">FRI</div>
+                    <div class="day">SAT</div>
+                    <div class="day">SUN</div>
+                </div>
+
+                <div class="dates"></div>
+                    <!-- 
+                        <div class="day prev disable">
+                        <div class="day current"> or <div class="day current today">
+                        <div class="day next disable">
+                    -->
+            </div>
+
+
+            <form class="year-month-day-form">
+                <label for="year-month-day-input">날짜를 입력하시오. (예시. 2023-02-10) </label>
+                <input
+                    id="year-month-day-input"
+                    type="text"
+                    placeholder="2023-02-10"
+                    value="2023-02-10"
+                />
+
+                <button id="text-submit">Submit</button>
+            </form>
+        </div>
+
+
+        
+
+    </body>
+</html>

templates/news_analysis.html

@@ -0,0 +1,88 @@
+<!-- html 태그 : HTML로 작성되어 있다는 것을 알려줌 -->
+<!-- html 태그 : html 파일 전체를 감싸는 태그 -->
+<html>
+    <!-- head 태그 : 머리말에 해당 -->
+    <!-- head 태그 : css나 javascript를 연결해줌 -->
+    <!-- head 태그 : 파비콘이나 문자열 인코딩과 같은 문서의 다양한 정보를 제공 -->
+    <head>
+
+        <!-- link 태그 : 주로 외부 css 파일을 연결할 때 사용 -->
+        <link rel="stylesheet" href="static/css/news.css" />
+
+        <!-- jQuery -->
+        <script src='//cdnjs.cloudflare.com/ajax/libs/jquery/3.6.0/jquery.min.js'></script>
+        <!-- script 태그 : 외부 js 파일을 연결하거나 javascript 코드를 입력할 때 사용 -->
+        <script type="text/javascript" src="static/js/news.js"></script>
+    
+    
+    </head>
+
+
+
+    <!-- body 태그 : 본문에 해당하는 부분, 실제 보여지는 화면에 해당 -->
+    <body>
+        <h1><a class="gohome" href="/">Stock News Summaries AI</a></h1>
+        <a class="goticker"><h2 class="tickerName">{{embed1}}</h2></a>
+        <h3 class="titleDate">{{embed2}}</h2>
+        <h3 class="titleName">{{embed3}}</h2>
+        <h3 class="NewsURL">URL: <a class="input-News-URL" target=”_blank”>{{embed4}}</a></h2>
+
+
+
+        <!-- named entity recognition (NER) -->
+        <figure style="margin-bottom: 6rem">
+            <div class="entities" style="line-height: 2.5; direction: ltr">
+            
+            </div>
+        </figure>
+
+
+
+
+        <!-- section 태그 : HTML 문서에 포함된 독립적인 섹션을 정의할 때 사용 -->
+        <section id="model">
+            <h2>Questions about Stock's News</h2>
+
+            <!-- p 태그 : paragraph, 즉 문단의 약자로, 하나의 문단을 만들 때 사용 -->
+            <p>
+                Model : 
+
+                <!-- target="_blank" : 기본속성 중 하나로 클릭시 계속해서 새로운 창이 열리게 된다. -->
+                <a 
+                    href="https://huggingface.co/allenai/tk-instruct-base-def-pos"
+                    rel="noeferrer"
+                    target="_blank">Tk-instruct Model</a
+                >
+            </p>
+
+
+            <!-- form 태그 : 데이터를 전송하기 위한 태그 -->
+            <!-- form 태그 : 데이터를 전송할 url (action 속성) -->
+            <!-- form 태그 : 데이터 전달 방식이 get인지 post인지 결정 (method 속성) -->
+            <form class="text-form">
+
+                <!-- label 태그는 for 속성을 사용해서 input 태그의 id 속성에 연계해서 사용 -->
+                <label for="text-input">[ Questions ]</label> <br>
+                <input
+                    id="text-input"
+                    type="text"
+                    placeholder="Input Questions"
+                    value="Why did Alphabet's stock go down?"
+                />
+
+                <button id="text-submit">Submit</button>
+                <p> [ Answer ] </p>
+                <p class="text-output"></p>
+            </form>
+
+        </section>
+
+
+
+
+
+    </body>
+
+
+
+</html>