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000-crypto_tarama_günlük.py
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000-crypto_tarama_günlük.py
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# -*- coding: utf-8 -*-
"""
Created on Thu Jun 6 13:55:45 2024
@author: Yunus
"""
# !pip install tradingview_screener
import pandas as pd
from tradingview_screener import Query, Column
def Tarama_1():
"""Bu Tarama Günlük Periyotta
Açılış Fiyatı Güncel Fiyatın Altında
RSI 30 ila 40 arasında
MACD Yukarı keser MACD Sinyal
MACD Sinyal < 0
Taramasıdır.
#RSI 30 seviyesinin üzerinde al verirken Macd 0 'ın altında al tarama
"""
Tarama = (Query().set_markets('crypto')
.select('name', 'change','close','volume','Perf.W')
.where(
Column('exchange')=='BINANCE',
Column('RSI').between(30,40),
Column('change').between(0,9.5),
Column('MACD.macd').crosses_above(Column('MACD.signal')),
Column('MACD.signal') < 0
)
.get_scanner_data())[1]
return Tarama
def Tarama_2():
"""Bu Tarama Günlük Periyotta
Haftalık Performansı < 15%
Göreceli Hacim > 1.5
Üstel Haraketli Ortalama 5 < Fiyat
Üstel Haraketli Ortalama 20 < Üstel Haraketli Ortalama 5
Üstel Haraketli Ortalama 50 < Üstel Haraketli Ortalama 20
MACD > MACD Sinyal
Parabolik SAR Aşağı Keser Fiyat
Emtia Kanal Endeksi >=90
Taramasıdır.
#Alternatif Düşeni kıran taramasa olarak da bilinir.
"""
Tarama = (Query().set_markets('crypto')
.select('name', 'change','close','volume','Perf.W')
.where(
Column('exchange')=='BINANCE',
Column('Perf.W') < 15,
Column('relative_volume_10d_calc') > 1.5,
Column('change') < 9.5,
Column('EMA5') < Column('close'),
Column('EMA20') < Column('EMA5'),
Column('EMA50') < Column('EMA20'),
Column('MACD.macd') > Column('MACD.signal'),
Column('P.SAR').crosses_below(Column('close')),
Column('CCI20') >= 90.0
)
.get_scanner_data())[1]
return Tarama
def Tarama_3():
"""Bu Tarama Günlük Periyotta
Haftalık Performansı < 15%
Göreceli Hacim > 1.0
Fiyat >= Basit Haraketli Ortalama 5
Basit Haraketli Ortalama 10 > Basit Haraketli Ortalama20
Macd Yukarı Keser MACD Sinyali
Taramasıdır.
#Swint Trade 2 nolu stratejisine uyan taramasa olarakda bilinir.
"""
Tarama = (Query().set_markets('crypto')
.select('name', 'change','close','volume','Perf.W')
.where(
Column('exchange')=='BINANCE',
Column('Perf.W') < 15.0,
Column('change') < 9.5,
Column('relative_volume_10d_calc')>1.0,
Column('close') >= Column('SMA5'),
Column('SMA10') >Column('SMA20'),
Column('MACD.macd').crosses_above(Column('MACD.signal'))
)
.get_scanner_data())[1]
return Tarama
def Tarama_4():
"""Bu Tarama Günlük Periyotta
Haftalık Performansı < 15%
Göreceli Hacim > 1.0
Macd Yukarı Keser Macd Sinyal
Stokastik RSI Hızlı Yukarı keser Stokastik RSI Yavaş
Taramasıdır.
#Macd ve Stokastik RSI hanüz al vermiş olan #bist hisselerinin taraması olarak da bilinir.
"""
Tarama = (Query().set_markets('crypto')
.select('name', 'change','close','volume','Perf.W')
.where(
Column('exchange')=='BINANCE',
Column('Perf.W') < 15.0,
Column('change') < 9.5,
Column('relative_volume_10d_calc')>1.0,
Column('MACD.macd').crosses_above(Column('MACD.signal')),
Column('Stoch.RSI.K').crosses_above(Column('Stoch.RSI.D'))
)
.get_scanner_data())[1]
return Tarama
def Tarama_5():
"""Bu Tarama Günlük Periyotta
Fiyat Yukarı Keser Hull Haraketl Ortalama
Ortalama Gerçek Aralık 0 ila 10 arasında
Basit Haraketli Ortalama Aşağı Keser Fiyat
Taramasıdır.
#Richards Dennis Kaplumbağası hull9 a göre oalrak da bilinir.
"""
Tarama = (Query().set_markets('crypto')
.select('name', 'change','close','volume','Perf.W')
.where(
Column('exchange')=='BINANCE',
Column('close').crosses_above('HullMA9'),
Column('change') < 9.5,
Column('ATR').between(0,10),
Column('SMA20').crosses_below('close'),
)
.get_scanner_data())[1]
return Tarama
def Tarama_6():
"""Bu Tarama Günlük Periyotta
RSI14 > 55
Üstel Hareketli Ortalama 5 < Kapanış Fiyatı
Üstel Hareketli Ortalama 20 < Basit Hareketli Ortalama 5
Üstel Hareketli Ortalama 50 < Basit Hareketli Ortalama 20
Emtia Kanal Endeksi CCI(20) Yukarı Keser 100
Hacim x Fiyat > 10 Milyon
Taramasıdır.
"""
Tarama = (Query().set_markets('crypto')
.select('name', 'change','close','volume','Perf.W')
.where(
Column('exchange')=='BINANCE',
Column('RSI') > 55.0,
Column('change') < 9.5,
Column('EMA5') < Column('close'),
Column('EMA20') < Column('SMA5'),
Column('EMA50') < Column('SMA20'),
Column('CCI20').crosses_above(100),
Column('Value.Traded') > 1E7
)
.get_scanner_data())[1]
return Tarama
def Tarama_7():
"""
ADX+CCI Taraması by Anka_Analiz
"""
Tarama = (Query().set_markets('crypto')
.select('name', 'change','close','volume','Perf.W',)
.where(
Column('exchange')=='BINANCE',
Column('Perf.W') < 10,
Column('change') < 9.5,
Column('ADX') > 20,
Column('CCI20').crosses_above(100),
Column('relative_volume_10d_calc')>1.5,
)
.get_scanner_data())[1]
return Tarama
def Tarama_8():
"""
MACD + Stokastik RSI Kesişimi by Anka_Analiz
"""
Tarama = (Query().set_markets('crypto')
.select('name', 'change','close','volume','Perf.W')
.where(
Column('exchange')=='BINANCE',
Column('Perf.W') < 10.0,
Column('change') < 9.5,
Column('relative_volume_10d_calc')>1.3,
Column('MACD.macd').crosses_above(Column('MACD.signal')),
Column('Stoch.RSI.K').crosses_above(Column('Stoch.RSI.D'))
)
.get_scanner_data())[1]
return Tarama
def Tarama_9():
"""
MACD 0 yukarı kesenler by Anka_Analiz
"""
Tarama = (Query().set_markets('crypto')
.select('name', 'change','close','volume','Perf.W')
.where(
Column('exchange')=='BINANCE',
Column('Perf.W') < 10.0,
Column('change') < 9.5,
Column('relative_volume_10d_calc')>1.5,
Column('MACD.macd').crosses_above(0),
Column('MACD.macd') > (Column('MACD.signal')),
)
.get_scanner_data())[1]
return Tarama
def Tarama_10():
"""
Düşeni Kıran by Anka_Analiz
"""
Tarama = (Query().set_markets('crypto')
.select('name', 'change','close','volume','Perf.W')
.where(
Column('exchange')=='BINANCE',
Column('Perf.W') < 10,
Column('change') <9.5,
Column('relative_volume_10d_calc')>1.0,
Column('EMA5') < Column('close'),
Column('EMA20') < Column('EMA5'),
Column('MACD.macd') > Column('MACD.signal'),
Column('P.SAR').crosses_below(Column('close')),
Column('CCI20') >= 90,
)
.get_scanner_data())[1]
return Tarama
Tarama1 = Tarama_1()
Tarama2 = Tarama_2()
Tarama3 = Tarama_3()
Tarama4 = Tarama_4()
Tarama5 = Tarama_5()
Tarama6 = Tarama_6()
Tarama7 = Tarama_7()
Tarama8 = Tarama_8()
Tarama9 = Tarama_9()
Tarama10 = Tarama_10()
tarama_dict = {
'Tarama 1': Tarama1, 'Tarama 2': Tarama2, 'Tarama 3': Tarama3, 'Tarama 4': Tarama4, 'Tarama 5': Tarama5, 'Tarama 6': Tarama6,
'Tarama 7': Tarama7, 'Tarama 8': Tarama8, 'Tarama 9': Tarama9, 'Tarama 10': Tarama10}
for name, df in tarama_dict.items():
df['Taramalar'] = name
tarama_list = [
Tarama1, Tarama2, Tarama3, Tarama4, Tarama5, Tarama6, Tarama7, Tarama8,
Tarama9, Tarama10]
combined_df = pd.concat(tarama_list, ignore_index=True)
print(combined_df.to_string())
combined_df = combined_df.groupby(['ticker', 'name', 'change', 'close', 'volume', 'Perf.W'], as_index=False).agg({'Taramalar': ','.join})
combined_df['close'] = round(combined_df['close'] ,2)
combined_df['Perf.W'] = round(combined_df['Perf.W'] ,2)
source_counts = combined_df['Taramalar'].value_counts()
combined_df['Tarama Sayısı'] = combined_df['Taramalar'].str.count('Tarama')
combined_df['Taramalar'] = combined_df['Taramalar'].str.replace('Tarama', 'T')
combined_df['change'] = round(combined_df['change'] ,2)
combined_df_2 = combined_df.sort_values(by='Tarama Sayısı', ascending=False).reset_index(drop=True)
print(combined_df_2.to_string())