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MauricioLetelier / gme1.py
Last active February 1, 2021 19:55
import matplotlib.pyplot as plt
from datetime import timedelta
import seaborn as sns
from celluloid import Camera
camera = Camera(plt.figure(figsize=(17, 9)))
sns.set()
df1_train["type"] = "lightcoral"
df1_test["type"] = "mediumblue"
new = pd.concat([df1_train, df1_test])
@MauricioLetelier
MauricioLetelier / gme2.py
Created February 1, 2021 19:54
import matplotlib.pyplot as plt
from datetime import timedelta
import seaborn as sns
from celluloid import Camera
camera = Camera(plt.figure(figsize=(17, 9)))
sns.set()
df1_train["type"] = "lightcoral"
df1_test["type"] = "mediumblue"
new = pd.concat([df1_train, df1_test])
@MauricioLetelier
MauricioLetelier / gme_complete.py
Last active February 1, 2021 19:51
import matplotlib.pyplot as plt
import seaborn as sns
from celluloid import Camera
from datetime import timedelta
camera = Camera(plt.figure(figsize=(17, 9)))
sns.set()
df1_train["type"] = "lightcoral"
df1_test["type"] = "mediumblue"
new = pd.concat([df1_train, df1_test])
@MauricioLetelier
MauricioLetelier / amnz_plot.py
Created February 1, 2021 19:49
import yfinance as yf
import pandas as pd
import ta
data = yf.download("AMZN", start="2020-01-01", end="2021-01-29", interval='1d',
group_by="ticker")
df = pd.DataFrame(data)
df1 = ta.add_all_ta_features(
df, open="Open", high="High", low="Low", close="Close", volume="Volume")
@MauricioLetelier
MauricioLetelier / amc_plot.py
Created February 1, 2021 19:49
import yfinance as yf
import pandas as pd
import ta
data = yf.download("AMC", start="2020-01-01", end="2021-01-29", interval='1d',
group_by="ticker")
df = pd.DataFrame(data)
df1 = ta.add_all_ta_features(
df, open="Open", high="High", low="Low", close="Close", volume="Volume")
@MauricioLetelier
MauricioLetelier / kodak_plot.py
Created February 1, 2021 19:48
import yfinance as yf
import pandas as pd
import ta
data = yf.download("KODK", start="2020-01-01", end="2021-01-29", interval='1d',
group_by="ticker")
df = pd.DataFrame(data)
df1 = ta.add_all_ta_features(
df, open="Open", high="High", low="Low", close="Close", volume="Volume")
@MauricioLetelier
MauricioLetelier / nokia_plot.py
Created February 1, 2021 19:47
import yfinance as yf
import pandas as pd
import ta
data = yf.download("NOK", start="2020-01-01", end="2021-01-29", interval='1d',
group_by="ticker")
df = pd.DataFrame(data)
df1 = ta.add_all_ta_features(
df, open="Open", high="High", low="Low", close="Close", volume="Volume")
@MauricioLetelier
MauricioLetelier / hertz_plot.py
Created February 1, 2021 19:45
import yfinance as yf
import pandas as pd
import ta
data = yf.download("HTZGQ", start="2018-01-01", end="2021-01-29", interval='1d',
group_by="ticker")
df = pd.DataFrame(data)
df1 = ta.add_all_ta_features(
df, open="Open", high="High", low="Low", close="Close", volume="Volume")
@MauricioLetelier
MauricioLetelier / gme_plot2.py
Created February 1, 2021 19:44
import yfinance as yf
import pandas as pd
import ta
data = yf.download("GME", start="2018-01-01", end="2021-01-29", interval='1d',
group_by="ticker")
df = pd.DataFrame(data)
df1 = ta.add_all_ta_features(
df, open="Open", high="High", low="Low", close="Close", volume="Volume")
@MauricioLetelier
MauricioLetelier / gme_plot1.py
Created February 1, 2021 19:43
import yfinance as yf
import pandas as pd
import ta
data = yf.download("GME", start="2021-01-01", end="2021-01-29", interval='90m',
group_by="ticker")
df = pd.DataFrame(data)
df1 = ta.add_all_ta_features(
df, open="Open", high="High", low="Low", close="Close", volume="Volume")