Professional Trader
Essential Technical Analysis
Overview
Gain a strong foundation in technical analysis, from price action to momentum strategies, and build skills for smarter trading decisions.
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30 Hours of Learning
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1.5K+ Learners
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20,000+ GST
Skills You Will Learn
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Technical chart reading
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Strategy development
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Market entry timing
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Risk assessment
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Trade execution discipline
Course Key Highlights
- Master candlestick patterns for precise market entries
- Identify demand and supply zones to spot trade opportunities
- Use moving averages for long and short-term strategies
- Apply momentum indicators to confirm trend strength
- Develop mean reversion techniques for range-bound markets
- Manage trading risk with proven technical tools
- Create a comprehensive, actionable trading plan
Course Time
Includes:
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Self-paced
Modules -
Case studies & examples
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Quizzes & assessments
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30 Hours of Learning
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Essential Technical Analysis
Build a strong foundation in market trends, price action, and indicators to make informed trading decisions.
Key Highlights:
- Candlestick patterns & trend analysis
- Demand and supply zones and strategies
- Moving averages & momentum indicators
- Momentum and mean reversion strategies
- Risk management using technical indicators
- Developing a comprehensive trading plan
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
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Advanced Technical Analysis
Master complex indicators, patterns, and trading psychology to refine precision trading strategies for dynamic markets.
Key Highlights:
- Elliott Wave Theory & market cycles
- Harmonic patterns & Fibonacci extensions
- Advanced candlestick, OI & volume analysis
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- Live market trading & strategy optimization
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Tools: Excel, Solver, Power Query
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Quantitative Trading Strategies using Python
Learn to design systematic, data-driven trading strategies using statistical models, ML, and backtesting in Python.
Key Highlights:
- Statistical arbitrage & mean reversion strategies
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Algorithmic Trading & Strategies using Python
Develop and execute automated trading strategies using Python, with advanced modeling and risk management.
Key Highlights:
- Build automated trading systems for equities, FX & crypto
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- Backtest and optimize strategies in Python
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
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NLP for Text Processing
Leverage NLP and deep learning to extract insights from text data and build AI-driven trading tools.
Key Highlights:
- Fundamentals of NLP, text preprocessing, tokenization
- NER, POS tagging & language parsing
- Sentiment analysis & classification models
- Word embeddings: Word2Vec, GloVe, FastText
- Topic modeling with LDA and NMF
- Build chatbots & fine-tune NLP models
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FAQs
Who is this course for?
This course is suitable for traders looking to strengthen their technical analysis skills for better decision-making.
Do I need prior trading experience?
While prior exposure to trading is helpful, the course covers fundamentals to support all learners.
What topics are covered in price action strategies?
You’ll learn to identify trends, recognize patterns, and apply support/resistance levels.
Are the concepts applicable to all markets?
The strategies taught can be applied across different asset classes where technical analysis is relevant.
Will I develop a trading plan during the course?
Yes, you will work on creating a comprehensive trading plan by the end of the course.
