Architecture

Description

Dashboard: Angular based web UI for interacting with Sravz Analytics Platform

Data Lake: SQL and NoSQL databases to store data

Task Runners: Celery/Dask/NSQ Reader-Writers for running back ground tasks

Opensource tools used: Airflow, Angular, Celery, Dask, Docker, Express.JS, Redis, Infragistics Ignite UI, MD Bootstrap, NSQ, NodeJS, Gorilla Mux, Socket.io

Trading Broker: Interactive Brokers

Developed in: C++, Rust, GoLang, Python, Node, Typescript

Share

• Sravz Platform Provides these data sets
  • Stock, Futures, ETFs, Mutual funds etc
  • Economic calendar data
  • Various other data sets
  • Any other datasets can be easily onboarded

Research

• Sravz Platform Provides these analytics
  • PCA Analysis
  • Prophet Model Analysis
  • Pyfolio Returns Analysis
  • Rolling Statistics
  • Time Series Analysis
  • Covariance Analysis
  • Year To Date Analysis
  • Any other analytics can be easily onboarded

VisualiZe

• Sravz Platform Provides these Visualization tools
  • Charts (Dynamic & Static)
  • Email alerts

Sravz Component Details.

• Dashboard
  • Dynamic component developed with the latest version of Angular
  • Static component developed with Hugo and Wordpress
• Backend
  • Authentication module with social logins (Google and Facebook)
  • Authentication module issues JWT token for application integration
  • User and role management
  • Implemented in C++, Rust, GoLang, Python, Node, Typescript
    • C++:
      • Boost/Std libraries based websocket server
    • Rust
      • Historical Ticker Plant
    • Golang:
      • Gorrila Mux based REST API
    • Python:
      • Analytics using Pandas/Numpy etc
    • Node:
      • Authentication and Authorization
      • Issues JWT tokens
      • Express based REST API
    • Typescript
      • Angular/Infragistics Ignite UI components based UI
• Airflow & Dask based distributed task queue
• Data Stores:
  • MongoDB
  • MySQL
  • AWS S3
  • Redis
• Trading Broker - Interactive Brokers
• Docker Swarm for container Orchestration