umitanuki

do $$ declare declare begin for i in 1 .. 1000 loop execute 'create table myt' || i || '(check (id between ' || (i * 99) || ' and ' || (i * 100) || ' )) inherits(size_m)'; end loop; end; $$;

umitanuki

PROG = run
OBJS = main.o

all: $(PROG)

$(PROG): $(OBJS)
  $(CC) -o $(PROG) $(OBJS)

clean:
	rm -f $(OBJS) $(PROG)

umitanuki

PROG = run
OBJS = main.o

all: $(PROG)

$(PROG): $(OBJS)
  $(CC) -o $(PROG) $(OBJS)

clean:
	rm -f $(PROG) $(OBJS)

umitanuki

package main

import "log"
import "net"
import "os"

var gaddr *net.UDPAddr = &net.UDPAddr{IP: net.IPv4(224, 0, 0, 254), Port: 12345}
func listener(c chan int) {
  	logger := log.New(os.Stdout, "[L]", log.Ltime | log.Lshortfile)
	conn, err := net.ListenMulticastUDP("udp", nil, gaddr)

umitanuki

# For this example, we're going to write a simple momentum script.  
# When the stock goes up quickly, we're going to buy; 
# when it goes down we're going to sell.  
# Hopefully we'll ride the waves.

from collections import deque
import math
import talib

atr = ta.ATR(timeperiod=20) # used to calculate 20-day ATR

umitanuki

import matplotlib.pyplot as plt
from datetime import datetime
import alpaca_trade_api as tradeapi
import numpy as np

from positionhandling import positionHandler
import loader

api = tradeapi.REST()

umitanuki

import argparse
import sys
import tempfile
from time import time
import random
from os import listdir
from os.path import isfile, join


import pandas

umitanuki

import pandas as pd
'''
brew install phantomjs
or
brew tap homebrew/cask
brew cask install chromedriver
'''
# from selenium import webdriver
from selenium.webdriver.chrome.webdriver import WebDriver

umitanuki

import iexfinance
import pandas as pd

def iex_charts(symbols):
    partlen = 99
    result = {}
    for i in range(0, len(symbols), partlen):
        charts = iexfinance.Stock(symbols[i:i+partlen]).get_chart(range='1m')
        if type(charts) == list:
            charts = {symbols[i]: charts}

umitanuki