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Python Trading Course

Python Trading Course
flexible workload of 4 to 360h
certificate recognized by MEC

What will I learn?

Unlock the power of algorithmic trading with our Python Trading Course, tailored for technology professionals keen to succeed in the Indian financial markets. Delve into trading strategy concepts, master risk management techniques (jokhim prabandhan), and explore a range of trading strategies suitable for the Indian market. Leverage Python for in-depth data analysis using Pandas and Matplotlib, and learn to backtest strategies with a focus on Indian market data. Gain expertise in data acquisition, management, and performance analysis relevant to Indian trading scenarios. Sharpen your skills by writing and optimising trading algorithms to generate accurate buy and sell signals (kharid-bikri signals).

Elevify advantages

Develop skills

  • Master risk management (jokhim prabandhan): Implement strategies to minimise trading losses, especially relevant in the Indian context.
  • Analyse data with Pandas: Manipulate and visualise data to glean insights specific to the Indian market.
  • Backtest trading strategies: Evaluate performance using historical Indian market data.
  • Optimise trading algorithms: Improve code efficiency and execution, considering the nuances of Indian market infrastructure.
  • Generate trading signals (kharid-bikri signals): Develop algorithms to produce buy and sell decisions based on Indian market conditions.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor of the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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