dear983604’s gists

dear983604 / Save_stock_info.ipynb

Last active September 24, 2022 06:32

Save stock information tutorial by csv & sql

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dear983604 / candlestick.ipynb

Created March 10, 2019 16:22

Candlestick and frame tutorial

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dear983604 / object_detection.py

Last active March 7, 2019 12:01

Using tensorflow model to realize object detection

	'''
	tensorflow model下載點 : https://github.com/tensorflow/models
	Model : ssd_mobilenet_v1_coco_11_06_2017
	webcam : inner webcam (default=0)
	python version : 3.5 in Anaconda
	tensorflow version : 1.13 cpu
	opencv version : 4.0
	os : windows 10
	'''
	#導入套件

dear983604 / Plot_frames.ipynb

Created March 3, 2019 14:05

Tutorial of add_subplot & add_axes

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dear983604 / KD_self_build.py

Created February 1, 2019 09:07

Self-build KD value

	#導入套件
	%matplotlib inline
	import datetime
	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt

	#專門做『技術分析』的套件
	from talib import abstract

dear983604 / KD_parameter.py

Created February 1, 2019 03:39

Modify KD parameter and evaluate the results

	#導入套件
	%matplotlib inline
	import datetime
	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt
	#專門做『技術分析』的套件
	from talib import abstract
	#專門抓台股的套件
	import twstock

dear983604 / Talib_practice.py

Last active July 27, 2019 16:09

TA-Lab套件教學

	#導入套件
	%matplotlib inline
	import datetime
	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt

	#專門做『技術分析』的套件
	from talib import abstract

dear983604 / pdr_fyf_ts.py

Last active September 24, 2022 05:08

Demontration of the differences between three libraries

	#導入套件
	import datetime
	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt

	#設定爬蟲股票代號
	sid = '0050'

	#設定爬蟲時間

dear983604 / Dow_stock_analysis.py

Last active December 23, 2018 16:43

Dow stock analysis

	#輸入套件
	%matplotlib inline
	import pandas as pd
	import numpy as np

	#輸入台股歷年股災資料
	TAIEX = {'TAIEX_H':[10328.98, 6484.93, 7135, 9859.65, 9220.69, 10014.28, 11270.18],
	'TAIEX_L':[3411.68, 3845.76, 5255.06, 3955.43, 6609.11, 7203.07, 9400.69]}
	df_TAIEX = pd.DataFrame(TAIEX, index=['2000', '2002', '2004', '2007', '2011', '2015', '2018'])
	df_TAIEX['TAIEX_dif'] = (df_TAIEX['TAIEX_H'] - df_TAIEX['TAIEX_L']) / df_TAIEX['TAIEX_H']

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