Technical Analysis Webinar for Energy: Understand It, Create It and Backtest It on Bloomberg.
This webinar is appropriate for both long-term and short-term strategies.
It is not necessary to have any previous experience in TA.
This event will include a brief survey at the start of the webinar.
You can also submit questions anonymously during the webinar.
We will cover five topics:
It is not necessary to have any previous experience in TA.
This event will include a brief survey at the start of the webinar.
You can also submit questions anonymously during the webinar.
We will cover five topics:
- What is Technical Analysis and how does it differ from Fundamental Analysis?
- Fair value trading (Efficient Market Hypothesis) versus non-rational sentiment (Behavioural Finance)
- One sample strategy, showing trending and mean-reversion signals, in any market and in any time-frame;
- When to trade a trending strategy and when to trade for mean-reversion and how to switch strategies;
- How to adjust for price gaps when futures contracts rollover, using GFUT ;
- Create advanced strategy factors, using STDY ;
- Scorecard to combine multiple TA indicators into one signal.
- TA strategy in one market to create and backtest signals in another market (eg TTF gas vs carbon emissions);
- Backtest these strategies for precise entry and exit, using BT ;
- Optimize your indicators and factors;
- Find the best market for your strategy;
- Find the best strategy for your market.
- Set alerts and scanning for signals, using TSIG ;
- Let Bloomberg find relevant charts for you;
- Reduce time looking at charts.
Speakers
Tim McCullough
Technical Analysis Application Specialist
Bloomberg
Tim McCullough is the charting specialist at Bloomberg LP in London. He has over 30 years’ experience in financial markets in trading, sales and technical analysis research. He manages the increasing demand for technical analysis and back-testing tools in EMEA. He advises clients on creating and testing appropriate methodologies on sentiment in all asset classes and in all conditions of volatility and liquidity.