Technical Analysis

The course is designed to help traders and risk managers in the energy industry gain a thorough understanding of the most popular and successful techniques and how they can be applied to their specific business. You will leave the course with an integrated framework for incorporating technical analysis into energy trading and risk management.

This course is delivered by our learning alliance partner the Energy Management Institute (EMI).

Course Information

Price $1995.0
Duration 2 days
Location New York
Available Dates

Who Should Attend

This course is applicable to all levels of the energy industry. Individuals whose decisions have significant financial impact will benefit from this program. Managers from areas such as marketing, sales, manufacturing, engineering, supply and distribution, trading risk management, purchasing and financial and accounting will find the course highly beneficial.

Booking Information

Tel: +44 (0) 20 7065 7706

Course Content

Topics covered include:

  • The technical tools and techniques at your disposal to trade and manage the ongoing volatility and the price impact of the various energy markets.
  • A view of the main elements of technical analysis used for trading discipline, quantifying and managing risk, and coordinating with fundamental analysis.
  • Using trend lines, Japanese Candlesticks, support and resistance and retracement levels.
  • How to analyze and use volume and open interest.
  • The characteristics of the Elliott Wave Theory.
  • Calculating and using moving averages and MACD.
  • Using DMI, Parabolics, Stochastics, RSI, %R, Momentum, MarketProfile and Bollinger Bands.
  • How to combine indicators and approaches.
  • Hedging and speculating with technical analysis.
  • Mechanical trading system development: trend-following, counter-trend and combining non correlated trading systems.
  • Candlestick reversal patterns.
  • How to limit downside risk without eliminating upside potential.
  • Knowledge through real-world trading and hedging examples using real-time data with a marked-to-market evaluation.