Forex Algorithmic Trading with Python : Build a DCA Bot
The Complete Algorithmic Trading Bootcamp with Python (2024)
★★★★★
$509.00 in stock
Udemy.com
as of October 3, 2026 11:42 am
Algorithmic Trading on QuantConnect: Backtesting, Live Trading, Trading Bots for Stocks, Options, Futures, Forex, Crypto
Created by:
Cheng Li
QuantConnect Integration Partner, Fiverr Top Rated Seller
QuantConnect Integration Partner, Fiverr Top Rated Seller
Created by:
CSAT Team
Empowering Through Education and Technology
Empowering Through Education and Technology
Rating:4.73 (134reviews)
1335students enrolled
What Will I Learn?
- Code a stock market scanner and use it to generate trading signals.
- Analyze LIVE news releases for real-time trading signals.
- Trade an unlimited number of stocks with just 1 trading bot.
- Backtest with historical stock data dating back to 1998.
- Work with high-frequency data up to the second.
- Run your trading bot LIVE with 1-CLICK.
- Use an unlimited number of indicators for entry and exit signals.
- Backtest your trading bot with 1-CLICK.
- Develop multi-functional coding skills applicable across multiple asset classes.
- Master backtesting and live trading.
- Explore bonus chapters covering options, futures, forex, and crypto for expanded trading possibilities.
Requirements
- Have a computer and an internet connection.
- No prior programming experience needed, I will teach you everything you need!
Target audience
- Beginner traders curious about mastering real-world algorithmic trading and practical, example-based learning for stocks, options, futures, forex, and crypto.
- Experienced traders seeking to enhance their quantitative research skills by mastering core algorithmic trading concepts, including robust backtesting across multiple asset classes.
- Finance and banking professionals interested in transitioning into quantitative finance with data-driven trading techniques, including market scanners and news analysis.
- Programmers excited about leveraging Python to build and automate trading bots for stocks, options, futures, forex, and crypto.
- Undergraduate finance majors looking to bridge theory and practice by applying academic knowledge to hands-on algorithmic trading and backtesting with real market data.
- Fintech entrepreneurs keen on understanding algorithmic trading concepts to develop innovative financial products for diverse markets.
- QuantConnect users seeking a comprehensive, step-by-step tutorial that covers everything from basic setup to advanced trading and backtesting strategies.
- Technical analysts interested in automating technical analysis and validating trading ideas using algorithmic tools and backtesting techniques.
- Day traders eager to streamline their processes by automating trading strategies and exploring data-driven backtesting methods for stocks, options, futures, and crypto.


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