Enhancing Quantitative Investment Education
Teaching quantitative investment is challenging, especially with the rise of tools like ChatGPT that can distract students. Covering numerous complex topics in an engaging way is crucial. Traditional lectures and worksheets may not fully capture students’ attention or ensure they absorb the material, however. Equities Lab can simplify your teaching process, especially when time is limited.
Our platform allows your students to interact with a rich interface to demonstrate their understanding of quantitative concepts. Equities Lab’s auto-graded homework system provides your students with immediate feedback, enabling them to learn, experiment, and explore in a hands-on environment.
With Equities Lab, you can condense multiple semesters’ worth of content into one. Students no longer need to spend time finding, managing, and cleaning large datasets or perfecting quantitative backtesting algorithms. You can easily demonstrate complex concepts and engage your students through their coursework, either in projects, homework or simulated portfolios.
Sign up today–professor accounts are free! Student accounts are available for just $50 per student for a full-semester course or $30 for a half-semester. Payment can be made directly by students or the department.
Auto-Graded Interactive Assignments
- Provide instant feedback to students
- Specify Market time frames per assignment
- Customize public and hidden evaluation criteria
- Choose from a library of preconfigured assignments
- Rich analytics and visualizations allow students to understand and master the material
Virtual Stock Market Competitions
Students can…
- Buy and sell virtual stocks using real-time prices
- Place orders for next market open/close
- Utilize an optional web-based client for adding trades
- Add unlimited number of trades
Professors can…
- Restrict the stocks your students can invest in.
(e.g., no penny stocks, no mega-caps, only indexes, etc.) - Utilize rollup tables with metrics for quick and easy grading
- Run multi-portfolio reports for the whole class
- Examine and grade each portfolio individually
- Export grades and metrics into Excel by student id
- View your students’ portfolios as they appeared on any given day in the past, or over any covered time span (up to 25 years in the past)
Built-in Market Anomalies
Some of our most popular anomalies and formulas
Valuation metrics
- Fama-French Factors
- P/E, P/S, P/FCF, Price/Whatever
- EBITA/EV and variants
- PEG ratio
Safety and Fraud detection
- Piotroski F-score
- Altman Z-score
- Beneish M-score
- Ohlson O-score
Technical analysis
- SMA, DMA and EMA
- Ichimoku clouds
- Triangles/Wedges
Over 1,000 searchable built-in strategies
- More than 500 public formulas
- More than 500 public screeners
- Encourage deeper thinking, synthesis, and analysis in your students reports
- Combine valuation and momentum
- Easily modify and adapt even complex formulas like AQR’s Quality Minus Junk
Heat Maps
What’s happening here? During this backtest, the energy stocks sector (bottom right) significantly outperformed the rest, driving the performance of this portfolio.
Scatter Charts
Do yield curves matter? Observe the linear correlation between performance and yield curve steepness: the steeper the curve, the better the performance.
Line Graphs
The whole is greater than the sum of its parts. This strategy combines momentum, safety scores, valuation and income.
You can view each subcomponent tested alongside the set of stocks that meet all the criteria. Take note of the convenient stats and bar charts that break down performance year by year.
Pie Charts
Identify what is working–and what is not– in your portfolio. This disaster of a screen failed almost everywhere, except for industrials and energy.
Classroom Management
- View all your students by class and semester
- Index all your students using a student ID for easy merging
- Export all data to Excel
- Ample metadata for each homework, including risk taken, criteria passed/failed, performance, and custom metrics
- Utilize portfolio roll-up views for each class, including hand entered grades, performance, risk taken (Alpha, Sharp Ratio, Beta, etc.), and custom metrics for any chosen date range
A sampling of metrics for your homeworks
Outliers
- Best/Worst position
- Best/Worst month
- Maximum drawdown
- Conditional value at risk
Metrics
- Trailing performance
- Annualized performance
- Alpha and beta
- Sharpe ratio
- Average number held
Probabilities
- Positions by percentile
- Months by percentile
- Odds by month of outperformance
- Odds by position of outperformance
Leverage Morningstar Data
Equities Lab utilizes Morningstar, an industry-leading data provider, to deliver deep and comprehensive financial data on American, Canadian, and Australian equities. This enables us to accurately simulate trading strategies, with correct handling of splits and dividends, using both technical and fundamental criteria.
- 20,000+ companies, both alive and dead
- 1,000+ financial data points, from AccountsPayable, AdditionalPaidInCapital and OtherIntangibleAssets through WorkInProgress to fields like UnbilledReceivables and UnearnedIncome
- Data going back to 1995
Leverage Macroeconomic Data
Enhance your analysis by using any data series in the Federal Reserve of St Louis data set (FRED).
- Instant Integration: Simply cut and paste the URL into Equities Lab for immediate use.
- Curated Indicators: Browse our handpicked list of valuable FRED indicators.
- Custom Search: Use our custom search feature to find the specific data series you need.
Additionally, you can also use Quandl data the same way. (Fair warning; most of the good feeds from Quandl now require extra fees.)
Some of our schools
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