Advanced Technical Analysis (VIRTUAL) - ATAV
Course Schedule
| Date |
Time |
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Price* |
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*Prices do not include VAT, GST, or any other local taxes. All applicable taxes will be added to the invoice.
**Please register by the deadline to help us ensure sufficient attendance and avoid postponing the course.
Course Summary
Taught by Mr. Richard Weissman, a world-renowned author and technical trader, this three-day live via Zoom course is filled with techniques, analysis and insights that only his 35 plus years of trading experience can bring. This 3-day program will provide you with a comprehensive understanding of various strategies employed in the field of advanced technical analysis, and how and when to use them.
Topics covered include:
- Integrating volatility studies with traditional mathematical technical analysis.
- Weissman’s Risk Management Pyramid: stop losses, volumetric limits, VaR limits, correlation analysis, stress testing and fixed fractional money management.
- High-Frequency (aka “scalping”) Techniques: Timeframe divergence, cycles in volatility
- Timing Inefficiency edges: NR7, IDNR4, Turtle Soup, Market Profile, Chicago Pivots, Opening Range Breakout
- Icebergs, VWAP, TWAP, and low latency trading
- Historical Algo Trading simulation
- Combining non-correlated trading systems.
- Regret Minimization Techniques: What they are and how to apply them to trend-following and countertrend models.
- Market Cycle Trading Simulation
Who Should Attend?
This course applies to individuals at all levels of the commodities industry including producers, consumers, physical traders, derivatives traders and trade support staff. Professionals from: commercial hedgers, marketers, end-users, banks, hedge funds, employees of futures exchanges, futures commission merchants, data vendors, pricing publications and government agencies.
Course Content
Day One
Session 1: Trader Psychology and Technical Analysis
- Behavioral finance and technical analysis - How technical analysis exploits irrational markets
- Trader Psychology, Market Cycles & Risk Attitudes:
- How various risk attitudes map to phases in a market cycle: doldrums, trending, euphoric, crashing, choppy
- The four attitudes towards Risk:
- Risk Avoidant
- Risk Averse
- Recklessness
- Risk Seeking: How building a rule-based techno-fundamental system fosters healthy risk seeking
Session 2: Risk Management
- Weissman’s Risk Management Pyramid:
- Volumetric and stop loss methods
- Portfolio-level Risk Management
- VaR (volatility, correlations & probability)
- Stress Testing
- Anti-Martingales (including Fixed Fractional position sizing)
Session 3: Regret Minimization Techniques
- What can we do to make it easier to follow our trading rules? Since the most common reason traders abandon discipline is regret over losses and /or missed opportunities this session offers various methods to counter these self-destructive tendencies. Particular emphasis is placed on techniques to minimize regret for trend-following as well as short-term traders.
Day Two
Session 1: Algo & System Driven Markets: What Changed & How Humans Adapt
- How Algos Think: Liquidity‑seeking vs arbitrage vs execution algos.
- The Rise of CTA/Systematic Flows: Momentum triggers, volatility targeting.
- Human Edge in an Automated Market: Narrative interpretation, cross‑market synthesis, optionality insight.
- Tactics for Human Traders: Patience vs aggression, execution strategy, gaming liquidity cycles.
Session 2: Algo Trading Simulation
- This interactive trading simulation examines real and false technical breakouts. Participants will be evaluated on systematic execution, disciplined drawdown control, and risk-adjusted decision-making as price action and volatility evolve.
Session 3: Optimization, Curve Fitting, Backtesting and Forward Testing
- This session examines various methods to ensure the robustness of a mechanical trading system including backtesting and forward testing. Emphasis will be placed on elimination of suboptimal parameter sets, data integrity issues, liquidity risk as well as various curve-fitting problems (parameter and data curve-fitting). The session closes with an in-depth examination of backtesting and forward testing as well as the development and implementation of trading system “failsafes” based on losses, drawdowns and paradigm shifts.
Day Three
Session 1: Trader Psychology and Matching the Trading System to the Trader
- This session explores trader psychology, the importance of even-mindedness, non-attachment to the trade’s outcome and elimination of conflicting beliefs regarding trading for a living. In addition, it dispels the myth of trading systems as a, “one size fits all” proposition through a detailed exposition of various long-term, intermediate-term, swing and day trading systems. Special focus is placed on psychological issues such as, “fading the crowd”, “screen burnout”, “buying new highs” and “selling new lows”. We’ll close the session by examining realistic performance expectations for various systems based on peak-to-valley equity drawdowns, winning percentages, average trade duration, average “flat” time and longest drawdown duration prior to achievement of new equity highs.
Session 2: Technical Analysis for Modern Markets
- Market Microstructure 2.0: Order book dynamics, sweepers, iceberg replenishment, spoofing indicators.
- Trend, Momentum & Positioning: Understanding CTA/system behavior – comparing structural edges (long-term trend-following) vs. tactical edges (ORB, IDNR4, NR7, Turtle Soup)
- Volatility‑Based Analysis: ATR, implied vs realized vol, incorporating volatility studies into breakout analysis
- Pattern Recognition in Algorithmic Markets: Identifying false breaks, stop-runs and volume-weighted signals.
Session 3: Enhancing Performance by Combining Non-Correlated Trading Systems
- The session shows how performance can be enhanced through three types of diversification: asset class, parameter set and trading system. We then explore the pros and cons of each type of diversification method. Finally, we examine how combining uncorrelated trading systems allows us to expand beyond our natural comfort zones as traders, thereby allowing us to systematically overcome psychological limitations regarding the type of market action we can capitalize on.
Session 4: Market Cycle Trading Simulation
- We’ll close the course with this interactive trading simulation that examines a CTA -driven liquidation cycle - the transition from orderly trending to parabolic acceleration and ultimately to a market crash. Participants will be evaluated on their ability to execute trades systematically with minimal slippage, enforce disciplined drawdown control and optimize risk-adjusted returns across a diversified portfolio as price action, technical indicators, correlations and volatility evolve throughout the exercise.
