Koregaon Park, Pune, India - 411001.
Details verified of Amol Snehadeep✕
Identity
Education
Know how UrbanPro verifies Tutor details
Identity is verified based on matching the details uploaded by the Tutor with government databases.
English Mother Tongue (Native)
Hindi Proficient
Pune University 2000
Bachelor of Engineering (B.E.)
Koregaon Park, Pune, India - 411001
ID Verified
Phone Verified
Email Verified
Report this Profile
Is this listing inaccurate or duplicate? Any other problem?
Please tell us about the problem and we will fix it.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Stock Market Trading Classes
8
Teaches
Derivatives Trading, Commodities Trading, Intraday Trading
Derivatives Trading Types
Futures Trading Course, Options Trading Course, Forwards
Teaching Experience in detail in Stock Market Trading Classes
Introduction to Day Trading: Definition of day trading and its distinguishing features. Explanation of the difference between day trading and other forms of trading/investing. Overview of the advantages and risks associated with day trading. Stock Market Basics: Understanding how the stock market functions. Introduction to different types of financial instruments (stocks, options, futures, etc.). Explanation of key stock market terminology (bid/ask, volume, liquidity, etc.). Technical Analysis: Introduction to chart patterns, candlestick analysis, and technical indicators. Identification of support and resistance levels. Overview of trend analysis and its significance in day trading. Fundamental Analysis: Explanation of fundamental factors that can impact stock prices. Evaluation of company financials, earnings reports, and news events. Integration of fundamental analysis with technical analysis in trading decisions. Risk Management: Importance of risk management and setting realistic expectations. Methods to determine position size and calculate risk-reward ratios. Utilization of stop-loss orders and risk mitigation techniques. Trading Strategies: Overview of different day trading strategies (e.g., momentum trading, scalping, breakout trading). Detailed explanation of selected strategies, including entry and exit criteria. Case studies and real-world examples to illustrate strategy implementation. Trading Tools and Platforms: Introduction to trading platforms, order types, and execution methods. Overview of charting software and analysis tools. Demonstration of order entry, trade management, and portfolio tracking. Psychological Factors and Emotional Control: Discussion of common psychological pitfalls in day trading. Techniques for managing emotions and maintaining discipline. Importance of self-assessment, maintaining a trading journal, and continuous improvement. Market Analysis and Research: Methods for conducting market research and staying informed. Understanding economic indicators, sector analysis, and market trends. Utilization of news sources and financial websites for information gathering. Legal and Regulatory Considerations: Overview of trading regulations and compliance requirements. Discussion of potential legal and ethical issues in day trading. Importance of understanding tax implications and record-keeping. Practical Exercises and Simulation: Incorporation of hands-on exercises and simulated trading sessions. Application of learned concepts in real-time market scenarios. Feedback and guidance on trade analysis and performance improvement. Remember, day trading involves substantial risks, and it's crucial to emphasize the importance of thorough education, practice, and risk management to students. Encourage them to continue their learning journey beyond the course and seek professional guidance if needed.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
20
Course Duration provided
1-3 months
Seeker background catered to
Individual, Educational Institution, Corporate company
Certification provided
No
Python applications taught
Web Development with Python , Data Analysis with Python , Data Extraction with Python , Automation with Python , Web Scraping with Python , Data Science with Python
Teaching Experience in detail in Python Training classes
I have been teaching about python programming for finance application since 2018 and have very good knowledge about implementation of trading algorithms for automated system. My course is having live projects and simulated applications for throughout learning.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Stock Market Investing classes
12
Teaches
Fundamental Analysis
Teaching Experience in detail in Stock Market Investing classes
I have been teaching and helping students to invest and trade in stock markets since 2016.
1. Which classes do you teach?
I teach Python Training, Stock Market Investing and Stock Market Trading Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 8 years.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Stock Market Trading Classes
8
Teaches
Derivatives Trading, Commodities Trading, Intraday Trading
Derivatives Trading Types
Futures Trading Course, Options Trading Course, Forwards
Teaching Experience in detail in Stock Market Trading Classes
Introduction to Day Trading: Definition of day trading and its distinguishing features. Explanation of the difference between day trading and other forms of trading/investing. Overview of the advantages and risks associated with day trading. Stock Market Basics: Understanding how the stock market functions. Introduction to different types of financial instruments (stocks, options, futures, etc.). Explanation of key stock market terminology (bid/ask, volume, liquidity, etc.). Technical Analysis: Introduction to chart patterns, candlestick analysis, and technical indicators. Identification of support and resistance levels. Overview of trend analysis and its significance in day trading. Fundamental Analysis: Explanation of fundamental factors that can impact stock prices. Evaluation of company financials, earnings reports, and news events. Integration of fundamental analysis with technical analysis in trading decisions. Risk Management: Importance of risk management and setting realistic expectations. Methods to determine position size and calculate risk-reward ratios. Utilization of stop-loss orders and risk mitigation techniques. Trading Strategies: Overview of different day trading strategies (e.g., momentum trading, scalping, breakout trading). Detailed explanation of selected strategies, including entry and exit criteria. Case studies and real-world examples to illustrate strategy implementation. Trading Tools and Platforms: Introduction to trading platforms, order types, and execution methods. Overview of charting software and analysis tools. Demonstration of order entry, trade management, and portfolio tracking. Psychological Factors and Emotional Control: Discussion of common psychological pitfalls in day trading. Techniques for managing emotions and maintaining discipline. Importance of self-assessment, maintaining a trading journal, and continuous improvement. Market Analysis and Research: Methods for conducting market research and staying informed. Understanding economic indicators, sector analysis, and market trends. Utilization of news sources and financial websites for information gathering. Legal and Regulatory Considerations: Overview of trading regulations and compliance requirements. Discussion of potential legal and ethical issues in day trading. Importance of understanding tax implications and record-keeping. Practical Exercises and Simulation: Incorporation of hands-on exercises and simulated trading sessions. Application of learned concepts in real-time market scenarios. Feedback and guidance on trade analysis and performance improvement. Remember, day trading involves substantial risks, and it's crucial to emphasize the importance of thorough education, practice, and risk management to students. Encourage them to continue their learning journey beyond the course and seek professional guidance if needed.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
20
Course Duration provided
1-3 months
Seeker background catered to
Individual, Educational Institution, Corporate company
Certification provided
No
Python applications taught
Web Development with Python , Data Analysis with Python , Data Extraction with Python , Automation with Python , Web Scraping with Python , Data Science with Python
Teaching Experience in detail in Python Training classes
I have been teaching about python programming for finance application since 2018 and have very good knowledge about implementation of trading algorithms for automated system. My course is having live projects and simulated applications for throughout learning.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Stock Market Investing classes
12
Teaches
Fundamental Analysis
Teaching Experience in detail in Stock Market Investing classes
I have been teaching and helping students to invest and trade in stock markets since 2016.
Post your Learning Need
Let us shortlist and give the best tutors and institutes.
or
Send Enquiry to Amol Snehadeep
Let Amol Snehadeep know you are interested in their class
Reply to 's review
Enter your reply*
Your reply has been successfully submitted.