<\/span><\/h3>\n\u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634 \u06cc\u06a9 \u062f\u0627\u0634\u0628\u0648\u0631\u062f \u0628\u0631\u0627\u06cc \u062a\u062d\u0644\u06cc\u0644 \u0633\u0647\u0627\u0645 \u062e\u0648\u0627\u0647\u06cc\u0645 \u0633\u0627\u062e\u062a. Dash \u06cc\u06a9 \u0686\u0627\u0631\u0686\u0648\u0628 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a \u06a9\u0647 \u06cc\u06a9 \u0627\u0646\u062a\u0632\u0627\u0639 \u0628\u0631 \u0631\u0648\u06cc Flask ( \u06cc\u06a9 \u067e\u0627\u0631\u0686\u0648\u0628 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 ) \u0648 react.js \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0628\u0647 \u0633\u0627\u062e\u062a \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0648\u0628 \u062a\u062d\u0644\u06cc\u0644\u06cc \u0648\u0627\u06a9\u0646\u0634 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n
\u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u062c\u0644\u0648\u062a\u0631 \u0628\u0631\u0648\u06cc\u062f\u060c \u0628\u0627\u06cc\u062f \u062f\u0627\u0634\u0628\u0648\u0631\u062f \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f. \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u062f\u0631 \u06a9\u0627\u062f\u0631 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f.<\/p>\n
pip3 install dash\npip3 install dash-html-components\npip3 install dash-core-components\n<\/pre>\n\u0627\u06a9\u0646\u0648\u0646 \u06cc\u06a9 \u067e\u0631\u0648\u0646\u062f\u0647 \u062c\u062f\u06cc\u062f \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0647 \u0646\u0627\u0645 stock_app.py \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f \u0648 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u062f\u0631 \u0622\u0646 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n
import dash\nimport dash_core_components as dcc\nimport dash_html_components as html\nimport pandas as pd\nimport plotly.graph_objs as go\nfrom dash.dependencies import Input, Output\nfrom keras.models import load_model\nfrom sklearn.preprocessing import MinMaxScaler\nimport numpy as np\napp = dash.Dash()\nserver = app.server\nscaler=MinMaxScaler(feature_range=(0,1))\ndf_nse = pd.read_csv(\".\/NSE-TATA.csv\")\ndf_nse[\"Date\"]=pd.to_datetime(df_nse.Date,format=\"%Y-%m-%d\")\ndf_nse.index=df_nse['Date']\ndata=df_nse.sort_index(ascending=True,axis=0)\nnew_data=pd.DataFrame(index=range(0,len(df_nse)),columns=['Date','Close'])\nfor i in range(0,len(data)):\n new_data[\"Date\"][i]=data['Date'][i]\n new_data[\"Close\"][i]=data[\"Close\"][i]\nnew_data.index=new_data.Date\nnew_data.drop(\"Date\",axis=1,inplace=True)\ndataset=new_data.values\ntrain=dataset[0:987,:]\nvalid=dataset[987:,:]\nscaler=MinMaxScaler(feature_range=(0,1))\nscaled_data=scaler.fit_transform(dataset)\nx_train,y_train=[],[]\nfor i in range(60,len(train)):\n x_train.append(scaled_data[i-60:i,0])\n y_train.append(scaled_data[i,0])\n \nx_train,y_train=np.array(x_train),np.array(y_train)\nx_train=np.reshape(x_train,(x_train.shape[0],x_train.shape[1],1))\nmodel=load_model(\"saved_model.h5\")\ninputs=new_data[len(new_data)-len(valid)-60:].values\ninputs=inputs.reshape(-1,1)\ninputs=scaler.transform(inputs)\nX_test=[]\nfor i in range(60,inputs.shape[0]):\n X_test.append(inputs[i-60:i,0])\nX_test=np.array(X_test)\nX_test=np.reshape(X_test,(X_test.shape[0],X_test.shape[1],1))\nclosing_price=model.predict(X_test)\nclosing_price=scaler.inverse_transform(closing_price)\ntrain=new_data[:987]\nvalid=new_data[987:]\nvalid['Predictions']=closing_price\ndf= pd.read_csv(\".\/stock_data.csv\")\napp.layout = html.Div([\n \n html.H1(\"Stock Price Analysis Dashboard\", style={\"textAlign\": \"center\"}),\n \n dcc.Tabs(id=\"tabs\", children=[\n \n dcc.Tab(label='NSE-TATAGLOBAL Stock Data',children=[\n html.Div([\n html.H2(\"Actual closing price\",style={\"textAlign\": \"center\"}),\n dcc.Graph(\n id=\"Actual Data\",\n figure={\n \"data\":[\n go.Scatter(\n x=train.index,\n y=valid[\"Close\"],\n mode='markers'\n )\n ],\n \"layout\":go.Layout(\n title='scatter plot',\n xaxis={'title':'Date'},\n yaxis={'title':'Closing Rate'}\n )\n }\n ),\n html.H2(\"LSTM Predicted closing price\",style={\"textAlign\": \"center\"}),\n dcc.Graph(\n id=\"Predicted Data\",\n figure={\n \"data\":[\n go.Scatter(\n x=valid.index,\n y=valid[\"Predictions\"],\n mode='markers'\n )\n ],\n \"layout\":go.Layout(\n title='scatter plot',\n xaxis={'title':'Date'},\n yaxis={'title':'Closing Rate'}\n )\n }\n ) \n ]) \n ]),\n dcc.Tab(label='Facebook Stock Data', children=[\n html.Div([\n html.H1(\"Facebook Stocks High vs Lows\", \n style={'textAlign': 'center'}),\n \n dcc.Dropdown(id='my-dropdown',\n options=[{'label': 'Tesla', 'value': 'TSLA'},\n {'label': 'Apple','value': 'AAPL'}, \n {'label': 'Facebook', 'value': 'FB'}, \n {'label': 'Microsoft','value': 'MSFT'}], \n multi=True,value=['FB'],\n style={\"display\": \"block\", \"margin-left\": \"auto\", \n \"margin-right\": \"auto\", \"width\": \"60%\"}),\n dcc.Graph(id='highlow'),\n html.H1(\"Facebook Market Volume\", style={'textAlign': 'center'}),\n \n dcc.Dropdown(id='my-dropdown2',\n options=[{'label': 'Tesla', 'value': 'TSLA'},\n {'label': 'Apple','value': 'AAPL'}, \n {'label': 'Facebook', 'value': 'FB'},\n {'label': 'Microsoft','value': 'MSFT'}], \n multi=True,value=['FB'],\n style={\"display\": \"block\", \"margin-left\": \"auto\", \n \"margin-right\": \"auto\", \"width\": \"60%\"}),\n dcc.Graph(id='volume')\n ], className=\"container\"),\n ])\n ])\n])\n@app.callback(Output('highlow', 'figure'),\n [Input('my-dropdown', 'value')])\ndef update_graph(selected_dropdown):\n dropdown = {\"TSLA\": \"Tesla\",\"AAPL\": \"Apple\",\"FB\": \"Facebook\",\"MSFT\": \"Microsoft\",}\n trace1 = []\n trace2 = []\n for stock in selected_dropdown:\n trace1.append(\n go.Scatter(x=df[df[\"Stock\"] == stock][\"Date\"],\n y=df[df[\"Stock\"] == stock][\"High\"],\n mode='lines', opacity=0.7, \n name=f'High {dropdown[stock]}',textposition='bottom center'))\n trace2.append(\n go.Scatter(x=df[df[\"Stock\"] == stock][\"Date\"],\n y=df[df[\"Stock\"] == stock][\"Low\"],\n mode='lines', opacity=0.6,\n name=f'Low {dropdown[stock]}',textposition='bottom center'))\n traces = [trace1, trace2]\n data = [val for sublist in traces for val in sublist]\n figure = {'data': data,\n 'layout': go.Layout(colorway=[\"#5E0DAC\", '#FF4F00', '#375CB1', \n '#FF7400', '#FFF400', '#FF0056'],\n height=600,\n title=f\"High and Low Prices for {', '.join(str(dropdown[i]) for i in selected_dropdown)} Over Time\",\n xaxis={\"title\":\"Date\",\n 'rangeselector': {'buttons': list([{'count': 1, 'label': '1M', \n 'step': 'month', \n 'stepmode': 'backward'},\n {'count': 6, 'label': '6M', \n 'step': 'month', \n 'stepmode': 'backward'},\n {'step': 'all'}])},\n 'rangeslider': {'visible': True}, 'type': 'date'},\n yaxis={\"title\":\"Price (USD)\"})}\n return figure\n@app.callback(Output('volume', 'figure'),\n [Input('my-dropdown2', 'value')])\ndef update_graph(selected_dropdown_value):\n dropdown = {\"TSLA\": \"Tesla\",\"AAPL\": \"Apple\",\"FB\": \"Facebook\",\"MSFT\": \"Microsoft\",}\n trace1 = []\n for stock in selected_dropdown_value:\n trace1.append(\n go.Scatter(x=df[df[\"Stock\"] == stock][\"Date\"],\n y=df[df[\"Stock\"] == stock][\"Volume\"],\n mode='lines', opacity=0.7,\n name=f'Volume {dropdown[stock]}', textposition='bottom center'))\n traces = [trace1]\n data = [val for sublist in traces for val in sublist]\n figure = {'data': data, \n 'layout': go.Layout(colorway=[\"#5E0DAC\", '#FF4F00', '#375CB1', \n '#FF7400', '#FFF400', '#FF0056'],\n height=600,\n title=f\"Market Volume for {', '.join(str(dropdown[i]) for i in selected_dropdown_value)} Over Time\",\n xaxis={\"title\":\"Date\",\n 'rangeselector': {'buttons': list([{'count': 1, 'label': '1M', \n 'step': 'month', \n 'stepmode': 'backward'},\n {'count': 6, 'label': '6M',\n 'step': 'month', \n 'stepmode': 'backward'},\n {'step': 'all'}])},\n 'rangeslider': {'visible': True}, 'type': 'date'},\n yaxis={\"title\":\"Transactions Volume\"})}\n return figure\nif __name__=='__main__':\n app.run_server(debug=True)\n<\/pre>\n\u0627\u06a9\u0646\u0648\u0646 \u0641\u0627\u06cc\u0644 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0631\u062f\u0647 \u0648 \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u0627 \u062f\u0631 \u0648\u0628 \u0628\u0627\u0632 \u06a9\u0646\u06cc\u062f:<\/p>\n
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python3 stock_app.py\n<\/pre>\n<\/div>\n\n\n![\"\u067e\u0631\u0648\u0698\u0647](\"https:\/\/shahaab-co.ir\/mag\/wp-content\/uploads\/2020\/05\/%D9%BE%D8%B1%D9%88%DA%98%D9%87-%D9%BE%DB%8C%D8%B4-%D8%A8%DB%8C%D9%86%DB%8C-%D9%82%DB%8C%D9%85%D8%AA-%D8%B3%D9%87%D8%A7%D9%85-%D8%AF%D8%B1-%D9%BE%D8%A7%DB%8C%D8%AA%D9%88%D9%86.gif\" "\\"\\"")
<\/figure>\n\n\n<\/span>\u062c\u0645\u0639 \u0628\u0646\u062f\u06cc<\/b><\/span><\/h2>\n\u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u06cc\u06a9 \u067e\u0631\u0648\u0698\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0645\u0628\u062a\u062f\u06cc\u0627\u0646 \u0627\u0633\u062a. \u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0645\u0627 \u06cc\u0627\u062f \u06af\u0631\u0641\u062a\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u06cc\u06a9 \u0645\u062f\u0644 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0632\u06cc\u0646\u0647 \u0633\u0647\u0627\u0645 \u0648 \u0646\u062d\u0648\u0647 \u0633\u0627\u062e\u062a \u06cc\u06a9 \u062f\u0627\u0634\u0628\u0648\u0631\u062f \u062a\u0639\u0627\u0645\u0644\u06cc \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0647\u0627\u0645 \u0628\u0633\u0627\u0632\u06cc\u0645. \u0645\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0628\u0627\u0632\u0627\u0631 \u0633\u0647\u0627\u0645 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 LSTM \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0631\u062f\u06cc\u0645. \u0627\u0632 \u0637\u0631\u0641 \u062f\u06cc\u06af\u0631 \u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0686\u0627\u0631\u0686\u0648\u0628 \u067e\u0627\u06cc\u062a\u0648\u0646 Plotly Dash \u06cc\u06a9 \u062f\u0627\u0634\u0628\u0648\u0631\u062f \u0628\u0631\u0627\u06cc \u067e\u0631\u0648\u0698\u0647 \u0637\u0631\u0627\u062d\u06cc \u06a9\u0631\u062f\u06cc\u0645.<\/p>\n
\u0622\u06cc\u0627 \u0645\u0627\u06cc\u0644 \u0647\u0633\u062a\u06cc\u062f \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u062f\u06cc\u06af\u0631\u06cc \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0647 \u0647\u0645\u0631\u0627\u0647 \u06a9\u062f \u0647\u0627\u06cc \u0622\u0646 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645\u061f \u0644\u0637\u0641\u0627 \u062f\u0631 \u0646\u0638\u0631\u0627\u062a \u062f\u06cc\u062f\u06af\u0627\u0647 \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u0645\u0627 \u0628\u0647 \u0627\u0634\u062a\u0631\u0627\u06a9 \u0628\u06af\u0630\u0627\u0631\u06cc\u062f.<\/p>\n\n
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\u0627\u0645\u062a\u06cc\u0627\u0632 \u062f\u0647\u06cc\u062f!<\/span>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0645\u0647\u0645\u06cc \u062f\u0631 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u062f\u0627\u0631\u062f. \u062f\u0631 \u0627\u06cc\u0646 \u067e\u0631\u0648\u0698\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u062f\u0631 \u0645\u0648\u0631\u062f \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0628\u0627\u0632\u062f\u0647 \u0633\u0647\u0627\u0645 \u0635\u062d\u0628\u062a \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f. \u0627\u06cc\u0646 \u06cc\u06a9 \u06a9\u0627\u0631 \u0628\u0633\u06cc\u0627\u0631 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0627\u0633\u062a \u0648 \u0628\u0627 \u0639\u062f\u0645 \u0642\u0637\u0639\u06cc\u062a \u0647\u0645\u0631\u0627\u0647 \u0627\u0633\u062a. \u0645\u0627 \u0627\u06cc\u0646 \u067e\u0631\u0648\u0698\u0647 \u0631\u0627 \u0628\u0647 \u062f\u0648 \u0628\u062e\u0634 \u0628\u0633\u0637 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645: \u0627\u0648\u0644\u060c \u0646\u062d\u0648\u0647 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc LSTM \u0631\u0627 …<\/p>\n","protected":false},"author":17,"featured_media":7207,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","footnotes":""},"categories":[195,18],"tags":[96,84,147,126],"class_list":["post-7192","post","type-post","status-publish","format-standard","has-post-thumbnail","","category-ml","category-edu","tag-jupyter-notebook","tag-84","tag-147","tag-126"],"_links":{"self":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/7192","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/comments?post=7192"}],"version-history":[{"count":0,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/7192\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/media\/7207"}],"wp:attachment":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/media?parent=7192"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/categories?post=7192"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/tags?post=7192"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"\u062f\u0627\u0634\u0628\u0648\u0631\u062f](\"https:\/\/shahaab-co.ir\/mag\/wp-content\/uploads\/2020\/05\/\u062f\u0627\u0634\u0628\u0648\u0631\u062f-\u067e\u0631\u0648\u0698\u0647-\u067e\u06cc\u0634-\u0628\u06cc\u0646\u06cc-\u0642\u06cc\u0645\u062a-\u0633\u0647\u0627\u0645-\u062f\u0631-\u067e\u0627\u06cc\u062a\u0648\u0646.gif\" "\\"\\"")
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