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Quantitative Approach for Crypto Trading for Intermediate to Advanced Learners Bundle

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Courses
3
Lessons
25

What's Included

Product Details

Access
Lifetime
Content
3.5 hours
Lessons
11

Crypto Trading Strategies: Advanced

Learn to Use Machine Learning, Statistical Arbitrage & Other Techniques in Cryptocurrency Trading

By QuantInsti | in Online Courses

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.

4.0/5 average rating: ★ ★ ★ ★

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

The course enables the learners to:
  • 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"
Disclaimer: All featured courses are designed for educational purposes only and do not reflect our views or recommendations. Please note that all course purchasers invest at their own risk.
QuantInsti®
QuantInsti® is a pioneer institute in providing educational and technological courses and tools for Quants, Traders and Developers. The course creators are market practitioners with a combined experience of over 40 years in financial markets. It was founded and is powered by leading HFT firm in India, iRage.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: advanced

Requirements

  • Chrome browser

Access
Lifetime
Content
2.5 hours
Lessons
7

Crypto Trading Strategies: Intermediate

Understand Cryptocurrencies, Risks Involved & How to Trade Crypto

By QuantInsti | in Online Courses

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.

4.0/5 average rating: ★ ★ ★ ★

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

The course enables the learners to:
  • 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"
Disclaimer: All featured courses are designed for educational purposes only and do not reflect our views or recommendations. Please note that all course purchasers invest at their own risk.
QuantInsti®
QuantInsti® is a pioneer institute in providing educational and technological courses and tools for Quants, Traders and Developers. The course creators are market practitioners with a combined experience of over 40 years in financial markets. It was founded and is powered by leading HFT firm in India, iRage.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: intermediate

Requirements

  • Experience working with Dataframes

Access
Lifetime
Content
4.5 hours
Lessons
7

Quantitative Trading Strategies & Models

Learn about Time Series Analysis, ARIMA GARCH models & Implementations of Options and Derivatives

By QuantInsti | in Online Courses

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.

4.5/5 average rating: ★ ★ ★ ★

  • 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
Disclaimer: All featured courses are designed for educational purposes only and do not reflect our views or recommendations. Please note that all course purchasers invest at their own risk.
QuantInsti®
QuantInsti® is a pioneer institute in providing educational and technological courses and tools for Quants, Traders and Developers. The course creators are market practitioners with a combined experience of over 40 years in financial markets. It was founded and is powered by leading HFT firm in India, iRage.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: intermediate

Requirements

  • Experience in financial market
  • Familiarity with options & technical indicators
  • Experience using Pandas & DataFrames


Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.