$50.00 $497.00
Beginners fail at investing due to confusion, risks, and inexperience, but the right course can change that.
Trust us, we know what it’s like…
- Trying single-stock moving average crossover strategies (and “bleeding red”)
- Spending money on courses that do NOT work
- To feel like I could be growing my investments more (but not knowing how)
- To feel like I’m taking on too much risk
- To try every YouTube trading strategy there is, and still lose money
Build And Backtest A Profitable Investment Portfolio Responsibly WITHOUT Risky Single-Stock Strategies Or Algorithmic Trading Experience.
Step 1: Trading Project and Python Quant Lab Setup ($500 Value)
- Get the Quant Stack Python Software installed
- Set up your algorithmic trading project
- Create your Python environment
- Everything you need to begin building and backtesting portfolio trading strategies
Step 2: How to Create a Profitable Algorithmic Portfolio Trading Strategy ($2,500 Value)
- Get our top portfolio-based trading strategy: Volatility targeting with auto-rebalancing ($2,500 Value)
- Get our code template for how to construct a risk-managed portfolio with the Riskfolio-Lib Python library
- Discover how to increase returns using the “Ray Dalio Bridgewater Cheat Code”
Step 3: Learn how to Backtest the right way ($2,500 Value)
- Detailed walkthrough of event-based backtesting ($2,500 Value)
- Backtested portfolio strategies with Zipline Reloaded
- How to avoid mistakes in backtesting portfolios
- How to include rebalancing, slippage, and trading commissions
LISTEN, WE REALIZE THAT:
1. You need professional market data for high-quality backtests
2. You need free market data for when you are first beginning to backtest non-professionally
3. You need more portfolio trading strategies for different market conditions
Bonus #1: Code to Backtest 21,000+ US Equities using Premium Data ($1,500 Value)
Bonus #2: Code to Use Free Market Data for Backtesting ($1,500 Value)
Bonus #3: Top 3 Variations of Volatility Targeting Strategy ($3,000 Value)
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