Quantitative Approach for Crypto Trading for Intermediate to Advanced Learners Bundle

In this advanced course, you will learn to apply machine learning, statistical arbitrage, and other such quantitative techniques in cryptocurrency trading. You will also learn to use Python to analyze real market data to come up with trading opportunities and to manage risk better. This course aims to equip you with the knowledge to get an edge over others using a quantitative and programmatic approaches in trading.

"Access 11 lectures & 3.5 hours of interactive content at your own convenience.

• Create a Long-Only Momentum strategy
• Backtest Pairs Trading on Cryptocurrencies
• Create a K-Means Clustering trading strategy
• Optimize the entry points using Hurst Exponent
• Define quantitative trading strategy framework
• Implement strategies in the live markets and analyze the performance"

In this intermediate course, you can start creating algorithmic bots to trade cryptocurrencies using Python, understand how cryptocurrencies are traded, and learn about the risks involved. You will also learn to create three different intraday trading strategies in Python. This course is perfect for programmers and quants, who wish to explore cryptocurrency trading. Use Pandas and packages in Python on the exclusive learning platform, created especially for traders and quants who wish to use programming and a quantitative approach in the financial markets.

"Access 7 lectures & 2.5 hours of interactive content at your own convenience.

• Explain how Cryptocurrencies work
• Create and backtest three different types of strategies:
  1. Ichimoku Cloud strategy
  2. Calendar Anomalies
  3. Divergence Strategy
• Explain risk associated with intraday trading
• Paper trade and live trade your strategies from your local computer"

Quantitative Trading Strategies and Models is a recommended course for those who want to start their journey in quantitative trading. This course includes topics like Time Series Analysis, ARIMA GARCH as well as the implementation of Options and Derivatives. Here, you will learn how to think quantitatively, and to create different trading strategies in Python. Implement your trades in a cloud-based live trading environment that is integrated within the learning platform. No downloads or installations are needed to implement your strategies in a real market scenario.

• Access 7 lectures & 4.5 hours of training 24/7
• Explain the difference between Quantitative trading & Technical trading
• Code 3 different trading strategies based on technical indicators
• Explain the econometric models such as ARIMA & GARCH
• Explain the BSM Options pricing model & the options' greeks
• Apply & analyze strategies in the live markets without any installations or downloads