$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)
RELATED COURSES
VIEW ALL
-
Code 6: Dow Futures Course – Oil Trading Academy$50.00$500.00Code 6: Dow Futures Course – Oil Trading AcademyUpdate 14 Oct 2022AdvancedAfter learning the Code 6: Dow Futures Course by Oil Trading Academy, you will be able to use it every day to hit +40 to +100 tick trades on the Dow Futures (YM).
Add to wishlist -
Reading The Tape Class Sessions – Compassfx$12.00$99.00Reading The Tape Class Sessions – CompassfxUpdate 03 Jun 2024Learn to Trade Successful and Failed Auctions, Identifying Liquidity and Understanding Volume and Price.
Add to wishlist -
Think Like a Market Professional – Spectra Markets$120.00$1,200.00Think Like a Market Professional – Spectra MarketsUpdate 28 Jan 2025Spectra School’s course provides practical frameworks and insights from market professionals to help you understand and profit from financial markets.
Add to wishlist -
Self Study Programs Premium Package – Wall Street Prep$54.00$499.00Self Study Programs Premium Package – Wall Street PrepUpdate 21 Sep 2022All LevelsSelf Study Programs Premium Package by Wall Street Prep provides a step-by-step guide on financial statement modeling along with real case studies. So, both students and professionals find the course’s content understandable and practical.
Add to wishlist -
Wall Street Self-Study Course (All Levels)$69.00$4,000.00Wall Street Self-Study Course (All Levels)Update 21 Sep 2022All LevelsWall Street Self-Study Course (All Levels) highlights the power of analysis for insight generation in the development of financial modeling. The A-Z guide comes along with illustrations of case studies and examples, so you find the course much more understandable.
Add to wishlist -
War Room Technicals Vol. 1 – Trick Trades$40.00War Room Technicals Vol. 1 – Trick TradesUpdate 21 Sep 2022All LevelsWar Room Technicals Vol. 1 by Trick Trades explains basic techniques and frameworks that a trader should learn. So, they can enjoy high profits without costly pitfalls. Coherent instructions come along with illustrated case studies and examples.
Add to wishlist
