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fintech Advanced 21 lessons

Algorithmic Trading

Automate trading strategies. Master quantitative analysis, backtesting frameworks, and execution algorithms using Python and Pandas.

Algorithmic trading removes emotion from investing. This advanced course teaches you to design, backtest, and deploy automated trading strategies. You will learn to process financial time-series data using Pandas, calculate technical indicators (RSI, MACD), and implement Mean Reversion and Momentum strategies. We cover execution algorithms to minimize slippage and connect to broker APIs like Interactive Brokers or Alpaca for live trading.

✅ 100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
Quants
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Secure Enrollment via SSL

Complete Course Syllabus

  • 1
    Market Data
    Fetching and cleaning OHLCV data from APIs.
  • 2
    Strategy Logic
    Coding simple moving average crossovers.
  • 3
    Backtesting
    Simulating performance over historical data.
  • 4
    Risk Management
    Calculating Sharpe Ratio and Max Drawdown.
  • 5
    Live Execution
    Connecting to a paper trading account.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$150k - $300k

Career Paths

Quantitative Developer $160k-$250k
Algorithmic Trader $150k-$300k+
Financial Data Scientist $140k-$200k

What You Will Learn

Design and backtest automated trading strategies using Python
Process financial time-series data with Pandas and NumPy
Implement Mean Reversion and Momentum trading logic
Connect to broker APIs for live trade execution
Manage risk using position sizing and stop-loss algorithms

Skills You Will Gain

Python Pandas Backtesting Financial APIs Risk Management

Who Is This For

Quant Developers
Traders
Data Scientists

Prerequisites

Python Proficiency
Finance Basics

Algorithmic Trading FAQs

Get rich quick?

No, this is about engineering, not gambling.

Math heavy?

Yes, statistics and probability are key.

Personal money?

We use paper trading (fake money) for safety.

Crypto?

Strategies apply to Stocks, Forex, and Crypto.

Need more info?
All Reork courses are 100% free, self-paced, and fully accessible on mobile devices. No prior experience is required. Read our full Platform FAQ.

Tech Stack & Tools

QuantConnect
Interactive Brokers API
Jupyter
Alpaca

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