nguyenhieuec

Adding 4swap to CCXT

This is the first time we’re integrating an exchange on the Mixin network into CCXT, but the process is actually more straightforward than expected.

Overview

CCXT started as an SDK to simplify connecting to various centralized exchanges. However, with the recent addition of Hyperliquid—a decentralized exchange on an EVM network—CCXT is expanding its reach, paving the way for more DEX integrations across different networks.

To add a new exchange to CCXT, we create a file under /ts/src/ named [exchange-name].ts. This file defines the methods available when initializing an instance of the exchange. It inherits the base class in /ts/src/base/Exchange.ts, which contains all possible methods for an exchange. We implement only the necessary ones for the new exchange in the new file.

nguyenhieuec

import numpy as np
import cvxpy as cp
import itertools

# Problem data
global_indices = list(range(4))

# 0 = TOKEN-0
# 1 = TOKEN-1
# 2 = TOKEN-2

nguyenhieuec

So you've cloned somebody's repo from github, but now you want to fork it and contribute back. Never fear!

Technically, when you fork "origin" should be your fork and "upstream" should be the project you forked; however, if you're willing to break this convention then it's easy.

* Off the top of my head *

1. Fork their repo on Github
2. In your local, add a new remote to your fork; then fetch it, and push your changes up to it

    git remote add my-fork [email protected]

nguyenhieuec

# https://www.quantopian.com/posts/technical-analysis-indicators-without-talib-code

import numpy  
import pandas as pd  
import math as m

#Moving Average  
def MA(df, n):  
    MA = pd.Series(pd.rolling_mean(df['Close'], n), name = 'MA_' + str(n))  
    df = df.join(MA)  

nguyenhieuec

curl 'https://finance.vietstock.vn/derivatives/cwtradinginfo' \
-X 'POST' \
-H 'Content-Type: application/x-www-form-urlencoded; charset=UTF-8' \
-H 'Accept: */*' \
-H 'Accept-Language: en-us' \
-H 'Accept-Encoding: gzip, deflate, br' \
-H 'Host: finance.vietstock.vn' \
-H 'Origin: https://finance.vietstock.vn' \
-H 'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/14.0.1 Safari/605.1.15' \
-H 'Connection: keep-alive' \

nguyenhieuec

import pandas as pd

def _map_to_pandas(rdds):
    """ Needs to be here due to pickling issues """
    return [pd.DataFrame(list(rdds))]

def toPandas(df, n_partitions=None):
    """
    Returns the contents of `df` as a local `pandas.DataFrame` in a speedy fashion. The DataFrame is
    repartitioned if `n_partitions` is passed.

nguyenhieuec

#!/usr/bin/env python3
import os
import re
import logging
import click

# don't index these
excludes = {
    'single_files',
    'Icon',

nguyenhieuec

df['hash'] = (
    (df['col1'].astype(str) + df['col2'].astype(str) + df['col3'].astype(str))
    .pipe(pd.util.hash_pandas_object)
)

nguyenhieuec

class QueryBuilder:
     def __init__(self):
          self.select_value = ''
          self.from_table_name = ''
          self.where_value = ''
          self.groupby_value = ''

     def select(self, select_arg):
          self.select_value = select_arg
          return self

nguyenhieuec

import requests
from bs4 import BeautifulSoup

page = requests.get('https://tiki.vn/dien-thoai-may-tinh-bang/c1789?src=c.1789.hamburger_menu_fly_out_banner&_lc=Vk4wMjMwMDcwMTA=')
soup = BeautifulSoup(page.text, 'html.parser')
with open("tiki_page.html", mode='w') as f:
    f.write(soup.prettify())

rating = soup.findAll('p', {"class": "rating"})
for p in rating: