Created
April 6, 2022 05:13
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CandleStick pattern recognition in python
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import talib | |
import yfinance as yf | |
from datetime import date | |
today = date.today().strftime("%Y-%m-%d") | |
stockticker = '^BSESN' | |
dataframe = yf.download(stockticker, start='2021-03-31', end=today) | |
open = dataframe['Open'] | |
high = dataframe['High'] | |
low = dataframe['Low'] | |
close = dataframe['Adj Close'] | |
threeLineStrike = talib.CDL3LINESTRIKE(open,high,low,close) | |
threeBlackCrow = talib.CDL3BLACKCROWS(open,high,low,close) | |
eveningStar = talib.CDLEVENINGSTAR(open,high,low,close) | |
engulfing = talib.CDLENGULFING(open,high,low,close) | |
dragonflyDoji = talib.CDLDRAGONFLYDOJI(open,high,low,close) | |
gravestoneDoji = talib.CDLGRAVESTONEDOJI(open,high,low,close) | |
tasukigap = talib.CDLTASUKIGAP(open,high,low,close) | |
hammer = talib.CDLHAMMER(open,high,low,close) | |
darkCloudCover = talib.CDLDARKCLOUDCOVER(open,high,low,close) | |
piercingLine = talib.CDLPIERCING(open,high,low,close) | |
dataframe['3 Line Strike'] = threeLineStrike | |
dataframe['3 Black Crow'] = threeBlackCrow | |
dataframe['Evening Star'] = eveningStar | |
dataframe['Engulfing'] = engulfing | |
dataframe['Dragonfly Doji'] = dragonflyDoji | |
dataframe['Gravestone Doji'] = gravestoneDoji | |
dataframe['Tasuki Gap'] = tasukigap | |
dataframe['Hammer'] = hammer | |
dataframe['DarkCloudCover'] = darkCloudCover | |
dataframe['Piercing Line'] = piercingLine | |
topCandles = ["3 Line Strike","3 Black Crow","Evening Star","Engulfing","Dragonfly Doji","Gravestone Doji","Tasuki Gap","Hammer","DarkCloudCover","Piercing Line"] | |
for x in dataframe.index: | |
for cd in topCandles: | |
if dataframe.loc[x, cd] == -100: | |
dataframe.loc[x, cd] = "Bearish" | |
if dataframe.loc[x, cd] == 100: | |
dataframe.loc[x, cd] = "Bullish" | |
dataframe.drop('Open', axis=1, inplace=True) | |
dataframe.drop('High', axis=1, inplace=True) | |
dataframe.drop('Low', axis=1, inplace=True) | |
dataframe.drop('Close', axis=1, inplace=True) | |
dataframe.drop('Adj Close', axis=1, inplace=True) | |
dataframe.drop('Volume', axis=1, inplace=True) | |
dataframe.to_csv("dataf.csv") |
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