Yvictor

from keras.layers import Convolution2D, MaxPooling2D, Dense, Dropout, Activation, Flatten, Input
from keras.models import Model
from keras.optimizers import RMSprop

batchsize = 64
conv_num_filters_1 = 16
conv_num_filters_2 = 32
conv_num_filters_3 = 32

Yvictor

• wget http://interactivebrokers.github.io/downloads/twsapi_macunix.973.02.zip
• unzip twsapi_macunix.973.02.zip
• cd IBJts/source/pythonclient
• python setup.py install
• cd ../../samples/Python/Testbed/
• python Program.py -p 4002

Yvictor

execTime = new Date(2018, 10, 18, 15, 0, 0)
btn = document.querySelector(".winlink.detailSwitch")
setTimeout(() => {
  btn.click()
  console.log(new Date().getMilliseconds(), Date())
}, execTime.getTime() - new Date().getTime())

Yvictor

import shioaji as sj

api = sj.Shioaji(simulation=False)
person_id, passwd = 'your person id', 'your password'
api.login(person_id, passwd)

@sj.on_quote
def on_quote(topic, quote_dict):
    print(topic, quote_dict)

Yvictor

import shioaji as sj
import pandas as pd
import sys
import os
import datetime
from datetime import datetime as datetime2
from threading import Timer

'''user_information & barminute'''
min_k=1

Yvictor

import pandas as pd
import msgpack
import zlib

with open(f'/data/dataset/qc/msgpack/TXF20190703.msgpack', 'rb') as f:
    rawdata = msgpack.loads(zlib.decompress(f.read()), raw=False)
    
df_bidask = pd.DataFrame(rawdata['Q/TFE/TXFI9'])

df_bidask[df_bidask['Simtrade'] != 1][['Date', 'Time', 'AskPrice', 'AskVolume', 'BidPrice', 'BidVolume']]

Yvictor

#include <iostream>

int main(){
    std::cout << "simple executable program.\n";
}

Yvictor

simple:
	g++ main.cpp -o simple

clean:
	- rm simple

Yvictor

#include <iostream>

void expose_api_func();

Yvictor

#include "shioaji.h"

void expose_api_func(){
    std::cout << "user our library expose function\n";
}