Advanced Technical Analysis for Commodities

Advanced Technical Analysis for Commodities
Single User Price: $1,895.00


This 2-day program will give you a comprehensive understanding of the various strategies employed in the field of advanced technical analysis. You’ll examine a wide array of advanced technical tools and strategies, including what they are and how and when they should be used. In addition, you’ll gain an in-depth understanding of how various theories of trader psychology and behavioral finance can be integrated into technical trading strategies.

What You Will Learn

  • The principles of behavioral finance and how these principles can be fully integrated into a trading strategy.
  • Systematic irrationality of the markets and its application to technical analysis.
  • Decision-making behavior, prospect theory and cognitive dissonance theory.
  • Integrating volatility studies with traditional mathematical technical analysis.
  • Multiple-time-cycle analysis of the markets.
  • Risk management pyramid including stop losses, volumetric limits, VaR limits, correlation analysis, stress testing and fixed fractional money management.
  • How to use trend exhaustion indicators including TD Sequential and TD Combo.
  • How to combine DeMark’s Trend Exhaustion Indicators with “traditional” percentage oscillators.
  • How to implement DeMark’s TD Carrie and TD Setup Trend as Mechanical Trading Systems.
  • How to use TD Risk Lines as support, resistance and pivot levels.
  • Mechanizing Elliott Wave with the Elliott Wave Oscillator and Profit-Taking Indicator.
  • Neural networks.
  • Machine induction methods.
  • Applying fractals and self-similarity to technical analysis.
  • Genetic algorithms.
  • Chaos theory.
  • Fuzzy logic.
  • Applying fuzzy logic to candlestick patterns.
  • Applying neural nets, machine induction methods and genetic algorithms to mechanical trading systems.
  • Making money with mechanical trading systems. In this real-time trading simulation you will analyze the commodity markets with mathematical technical indicators, develop a short-term trading system to capitalize on probable market behavior over the next 24 hours and see how various trading strategies unfold in real time.
  • High-Frequency (aka “scalping”) Techniques: CQG’s TradeFlow, Timeframe divergence, Cycles in volatility
  • Developing trading models with CQG software.
  • Matching the system to your personality.
  • Cutting-edge insights in the field of trader psychology
  • Avoiding the pitfalls in model development.
  • Back-testing and forward-testing of models.
  • Optimization studies.
  • Development of trending: Following trading systems.
  • Development of mean reversion trading systems.
  • Development of mean reversion systems with trending-following filters.
  • Combining non correlated trading systems.
  • Black Box Arbitrage: What it is, how to develop models that will capture this kind of arbitrage opportunity and the risks inherent in the implementation of this strategy.

Who Should Attend

This course is applicable to full spectrum of commodity markets: Energy, Softs, Russell and Dollar Index. Individuals in every functional area of responsibility in all commodity contingent industries whose decisions have significant financial impact will benefit from this program. Individuals from areas such as trading, marketing, sales, manufacturing, supply and distribution, risk management, purchasing and financial and accounting will find the course highly beneficial. Some of the more specific areas follow:
  • Traders and hedgers of any of the commodity products
  • Major oil and large independents
  • Banking and Financial Institutions
  • Regulatory agencies
  • Retailers
  • End-Users: Commercial fleet managers, government agencies (federal, state and municipal), transportation companies.
  • Futures and OTC brokers – especially brokers catering to the above companies.
  • Utilities and power marketers.
  • Natural gas marketers.
  • Accounting and financial personnel.
  • Back office administrators of trading and hedging operations.

Class Details

Industry Segment
Natural Gas
Alternative Fuels
Course Level
Intermediate to Advanced
CPE Credits
Competency Path
Alternative Fuels
Natural Gas
Trading & Risk Management
Course Type
Course Times
Day 1: 8:00am–4:00pm
Day 2: 8:00am–4:00pm