Pinned Repositories
build-web-application-with-golang
A golang ebook intro how to build a web with golang
content
Official content for Harvard CS109
dewApiTrading
dew api trading use python.
easy_word_cloud
a very simple version of word_cloud
eight22er
joke hack: Twitter Direct Message POP3 gateway
gocentos
go lan centos backup
linuxdeploy
Easy installation and running GNU/Linux on Android | Простая установка и запуск GNU/Linux под Android
pip
The PyPA recommended tool for installing Python packages
resin-sdk-python
Resin SDK for Python
Trading-Platform
This project is the most awaited project in open source community where every user who belongs to Stock Trading always wanted to develop its own software. This project has been developed specifically for Indian Market Stock Trading. It encompasses end to end trading cycle for intraday trading but the design would be such that it can be easily extended for delivery trading. During the lifecycle of this project we will be using most advance technologies but the base code will always be C/C++. Development Methodology: ======================== We use "Incremental Life Cycle Model" along with Cross-Platform Development (Portable). Project Priorities and Assumptions: =================================== 1) Low Latency, High Performance all the time. 2) Wherever choice has to be made between memory and execution speed, we give preference to speed. 3) Every module devloped will be exhaustively tested. How the work Proceed: ===================== Before the beginning of any new project, we should know the "PROBLEM STATEMENT", so here it is "Problem Statement" ------------------- To Build a high performance, low latency, end to end Trading Platform for Indian Stock Market but not limited to which home users should be able use for trading which guarantees (99% of the times) the profit but does not guarantees maximized profit for intraday trading. First Step: ----------- To provide the optimal solution to any problem is "UNDERSTAING THE PROBLEM". To understand the above problem statement you need to really extract the explicit and implcit requirements from the statement. Here is the List of requirements: Explicit: --------- 1) High Performance 2) Low-Latency 3) End-to-End Trading Platform 4) Focus on Indian Stock Market but not limited to it. 5) Guarantees (99% of the times) the profit but does not guarantees maximized profit. 6) Only for Intraday Trading. Implicit: --------- 1) Book Keeping of the order and trade (Order Management System). 2) Availability of Market Data to End-Users on Demand for identifying the stock and placing the order. 3) User Account Management. Might be I missed something please suggest and after reveiw we add it here. Second Step: ------------ To understand the above Explicit/Implicit requirements, you should have the "KNOWLEDGE OF VARIOUS TECHNOLOGIES" and indepth undertstanding of the "PROBLEM DOMAIN" i.e. Stock Market. Once this is achieved we need to architect the solution in terms of Software and Hardware nodes and their integration. Third Step: ----------- To solve the problem statement, the above requirements should be "DECOMPOSED IN MODULES" and map to them with technolgoies/software/hardware used. Below is the list of modules we are able to identify: Modules Included: ================= Core Modules: -------------- 1) Core Libraries 2) Manual Order Entry System 3) Auto Order Entry System 4) Artificial Exchange 5) Algorithmic Trading Platform 6) Smart Order Router 7) Direct Trading Platform (Ooptional) Utility Modules: ---------------- 8) Logger Server 9) HeartBeat Server Technologies Used: ================= Software: --------- We always use freeware, Open Source Softwares or APIs which are the part of GPL, LGPL.xx licence. Any special requirement for building/using the modules will be detailed in specific module. For development, we generally use: ---------------------------------- Windows-7 for Operating System but any other OS ca be used. Our Code is Platform Indepandant. Visual Studio 2013 in built compiler for build or Intel@ Compilers which can be easily integrated with Visual Studio IDE. For real time, we generally use: -------------------------------- Linux-susse 10 or above with real time extensions. gcc 4.4.1 for build. vi editor Hardware: --------- No special requirement for development purpose. For real time use, it depands how much Stock you are interested in and the various configuration of modules. We prefer generally the below configuration for any number of Stock Trading: 256 GB RAM 16 core processor 1 TB of HDD/SDD Programming Languages and other Technologies: --------------------------------------------- C, C++99/c++11, Lua, ZeroMq, nanodbc, Lock-Free Data Structures, Intel TBB, Boost, Google Protobuf, MySql, Python. Fourth Step: ------------ Dcompose each module till it becomes entity to provide the useful functionality. We are going to explain this in each module detailed section. Fifth Step: ------------ We do design/develop/benchmark/unit test/integration testing of the above modules. Sixth Step: ------------ We deploy the delivered software on various hardware nodes as per the deployment architecture and integrate them. Seventh Step: ------------ Observe the behaviour of deployed software on live traffic and cut two branches at this level : 1st branch continue to do incremental development and 2nd branch fix the issues reported which can be later merged with 1st branch for another release. Any suggestions for improvement are most welcome.
ideas4u's Repositories
ideas4u/dewApiTrading
dew api trading use python.
ideas4u/aimoneyhunter
ai副业赚钱大集合，教你如何利用ai做一些副业项目，赚取更多额外收益。The Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English version for more insights.
ideas4u/AnimatableGaussians
Code of [CVPR 2024] "Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling"
ideas4u/Bert-VITS2
vits2 backbone with multilingual-bert
ideas4u/binance-api
ideas4u/bitcoinpricegoupforever
bitcoin price go up forever
ideas4u/deepfakes_faceswap
from deekfakes' faceswap: https://www.reddit.com/user/deepfakes/
ideas4u/flask_learning
ideas4u/GPT-SoVITS
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
ideas4u/gxb-core
gxb-core
ideas4u/hackp5g9
本项目可以帮助小鹏P5和小鹏G9开启adb和网络adb
ideas4u/IP-Adapter
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
ideas4u/jd-assistant
京东抢购助手：包含登录，查询商品库存/价格，添加/清空购物车，抢购商品(下单)，查询订单等功能
ideas4u/jd_mask
京东定时自动预约,抢购.(只针对性支持要先预约,到点抢购.然后直接下单的商品!)
ideas4u/listening_training
ideas4u/matplotlib
matplotlib: plotting with Python
ideas4u/ms
ms script
ideas4u/opencv
opencv example
ideas4u/Python
My Python Examples
ideas4u/Python-1
All Algorithms implemented in Python
ideas4u/python-binance
Binance Exchange API python implementation for automated trading
ideas4u/python-lnlr
python-demo代码
ideas4u/python-small-examples
Python有趣的小例子一网打尽。Python基础、Python坑点、Python字符串和正则、Python绘图、Python日期和文件、Web开发、数据科学、机器学习、深度学习、TensorFlow、Pytorch，一切都是简单易懂的小例子。
ideas4u/Streamer-Sales
Streamer-Sales 销冠 —— 卖货主播 LLM 大模型🛒🎁，一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。🚀⭐内含详细的数据生成流程❗ 📦另外还集成了 LMDeploy 加速推理🚀、RAG检索增强生成 📚、TTS文字转语音🔊、数字人生成 🦸、 Agent 使用网络查询实时信息🌐、ASR 语音转文字🎙️
ideas4u/tianxing
下载天行
ideas4u/Toon-Me
A Deep Learning project to Toon Portrait Images
ideas4u/wechat-app-unpack
微信小程序(.wxapkg)解包心得以及未开放API猜测
ideas4u/wxappUnpacker
Wechat App(微信小程序,.wxapkg)解包及相关文件(.wxss,.json,.wxs,.wxml)还原工具
ideas4u/wxappUnpacker-1
小程序反编译(支持分包)
ideas4u/yczs
洋葱OMALL助手