Computer Academy

STOCK TRADING ANALYSIS WITH PYTHON

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Course Information

Schedules
  • 7 Feb 2022 (Mon) - 12 Feb 2022 (Sat) 10:00 AM - 5:00 PM
  • 15 Feb 2022 (Tue) - 12 Apr 2022 (Tue) 7:00 PM - 10:00 PM
Registration period
29 Nov 2021 (Mon) - 14 Feb 2022 (Mon)
Price
HKD 10,600
Course Level
Study Mode
Duration
8 Day(s)
Language
Cantonese
Location
Room 603 Dominion Centre, 43-59 Queen's Road East Wanchai, Hong Kong
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Course Overview

The Stock trading analysis with Python is a course to teach students to write python algorithms to quantify the trading discipline and identify opportunities.

Stock trading using algorithm brings us several advantages. It allows traders to backtest their trading strategies before putting them to work, evaluating and customizing a wide range of stocks against multiple indicators is feasible which cannot be done using off-shelf software. And the biggest advantage is to help traders make objective decisions as they are governed by a set of well tested rules and not by human emotion from the markets.

Python is one of the best computer languages in developing Fintech products. We will use it throughout the course. After completing the course, students can write codes to download historical stock data from internet, save time by scraping trade information from other websites, calculate technical indicators, back test trading strategies, evaluate strategies performance, calculate return, plot stock data against different technical indicators ( such as MA, RSI and MACD ) and placing real trade order to the brokerage firmsl.

Those people who are interested in stock trading and want to trade realtime using algorithm will find the course useful.

What You’ll Learn


  • Python
  • Working with historical data
  • Technical analysis indicators calculation
  • Stock Charts
  • Backtesting trading strategies
  • Strategies evaluation
  • Stocks selection and web scraping
  • Algorithm Trading using Futu's API
  • Python
  • Working with historical data
  • Technical analysis indicators calculation
  • Stock Charts
  • Backtesting trading strategies
  • Strategies evaluation


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