Description:
Our Advanced Technical Analysis Stock Market Course is designed for experienced traders who want to take their technical analysis skills to the next level. The course covers a range of advanced topics, starting with the basics of technical analysis and progressing to the latest tools and techniques in the field.
We cover a range of charting tools, including point and figure charting and market profile analysis. In addition to common technical indicators, we also cover sentiment indicators, such as the VIX and put-call ratio, and the use of Ichimoku Clouds and Pivot Points.
Price and volume analysis is covered in greater detail, with topics such as volume spread analysis and cumulative volume analysis. We also cover the use of seasonality and cyclical analysis in trading.
Trading strategies are discussed in-depth, including swing trading strategies, quantitative trading strategies, and algorithmic trading. Advanced risk management techniques are also discussed, along with portfolio management strategies.
Finally, we cover the programming languages, data sources, and backtesting tools used in algorithmic trading. By the end of the course, you will have the advanced technical analysis skills needed to analyze the stock market and implement profitable trading strategies.
Here is the list of topics to be covered:
- Introduction to Technical Analysis
Definition of technical analysis
History and evolution of technical analysis
Advantages and limitations of technical analysis
Efficient market hypothesis and its implications
Types of charts (line, bar, candlestick)
Chart patterns (head and shoulders, double top/bottom, etc.)
Moving averages
Point and figure charting
Market profile analysis
Technical Indicators
Oscillators (RSI, Stochastic, MACD, Williams %R)
Volume indicators (OBV, Chaikin Money Flow, On-balance volume divergence)
Other indicators (Bollinger Bands, Fibonacci retracements, Pivot Points, Ichimoku Clouds)
Sentiment indicators (VIX, put-call ratio, etc.)
- Price and Volume Analysis
Market structure (trends, ranges, support, and resistance)
Price action analysis
Volume spread analysis
Cumulative volume analysis
Seasonality and cyclical analysis
Breakout strategies
Trend following strategies
Reversal strategies
Day trading strategies
Swing trading strategies
Quantitative trading strategies
- Advanced Risk Management and Trading Psychology
Position sizing and money management
Setting stops and targets
Trading psychology and emotions
Developing a trading plan
Risk management techniques and portfolio management
- Algorithmic Trading and Backtesting
Programming languages for trading (Python, R, C++)
Market data sources and API
Backtesting and optimization of trading strategies
Live trading and execution of trades using algorithms