import FiinQuantX as fq
# Đăng nhập
username = 'REPLACE_WITH_YOUR_USER_NAME'
password = 'REPLACE_WITH_YOUR_PASS_WORD'
client = fq.FiinSession(username=username, password=password).login()
fi = client.FiinIndicator()
# Lấy dữ liệu có sẵn
tickers = ['HPG','SSI','VN30']
event = client.Fetch_Trading_Data(
realtime = False,
tickers = tickers,
fields = ['open','high','low','close','volume','bu','sd','fn','fs','fb'],
adjusted=True,
# period=10,
from_date='2024-12-04',
by = '1m'
)
df = event.get_data()
print(df)
fields = ['open','high','low','close','volume','bu','sd','fn','fs','fb']
import time
import pandas as pd
import FiinQuantX as fq
from FiinQuantX import RealTimeData
username = 'REPLACE_WITH_YOUR_USER_NAME'
password = 'REPLACE_WITH_YOUR_PASS_WORD'
client = fq.FiinSession(username=username, password=password).login()
fi = client.FiinIndicator()
df = []
tickers = ['SSI','ITC','HPG','VHM']
for i in range(len(tickers)):
df.append(pd.DataFrame())
df_total = pd.DataFrame()
def onEvent(data: RealTimeData):
global df_total
df_total = pd.concat([df_total, data.to_dataFrame()],ignore_index=True)
df_total.to_csv('data.csv', index = False)
for i in range(len(tickers)):
if data.Ticker == tickers[i]:
print(data.Ticker, data.Close)
df[i] = pd.concat([df[i], data.to_dataFrame()],ignore_index=True)
print(df[i])
TickerEvents = client.Trading_Data_Stream(tickers=tickers, callback = onEvent)
TickerEvents.start()
try:
while not TickerEvents._stop:
time.sleep(1)
except KeyboardInterrupt:
print("KeyboardInterrupt received, stopping...")
TickerEvents.stop()
import pandas as pd
from FiinQuantX import FiinSession
username = 'YOUR USERNAME HERE'
password = 'YOUR PASSWORD HERE'
client = FiinSession(
username=username,
password=password
).login()
VN30 = [
'ACB', 'BCM', 'BID', 'BVH', 'CTG', 'FPT', 'GAS', 'GVR', 'HDB', 'HPG',
'LPB', 'MBB', 'MSN', 'MWG', 'PLX', 'SAB', 'SHB', 'SSB', 'SSI', 'STB',
'TCB', 'TPB', 'VCB', 'VHM', 'VIB', 'VIC', 'VJC', 'VNM', 'VPB', 'VRE']
data = client.Fetch_Trading_Data(
tickers=VN30,
fields=['fn', 'fs', 'fb'],
adjusted=True,
period=10,
realtime=False,
by='1m',
).get_data()
filtered_data = data[data['timestamp'].str.endswith('14:45')]
filtered_data.to_excel('filtered_data.xlsx', index=False)
print("Data stored in filtered_data.xlsx")