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Overview

I have been developing startup applications and API for ecommerce, marketplaces and also stock markets using Python and Django. I will be able to help you learn more about Django and the advantage of using django for web development.
I will also teach more about production enviorments and how to manage codes and modify using GIT.

Languages Spoken

English Mother Tongue (Native)

Hindi Proficient

Education

Pune University 2000

Bachelor of Engineering (B.E.)

Address

Koregaon Park, Pune, India - 411001

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Teaches

Stock Market Trading Classes

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.

Python Training classes

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.

Stock Market Investing classes

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.

Courses

Reviews

No Reviews yet!

FAQs

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.

Teaches

Stock Market Trading Classes

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.

Python Training classes

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.

Stock Market Investing classes

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.

Courses

No Reviews yet!

Amol Snehadeep describes himself as Experienced Technical Trader using programming and finance knowledge for success.. He conducts classes in Python Training, Stock Market Investing and Stock Market Trading. Amol is located in Koregaon Park, Pune. Amol takes Online Classes- via online medium. He has 20 years of teaching experience . Amol has completed Bachelor of Engineering (B.E.) from Pune University in 2000. HeĀ is well versed in Hindi and English.

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