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From analyst to professional investor and quant: advanced valuation, factor investing, derivatives, machine learning, and a committee defended deliverable.
8 modules · 48 lessons
Advanced valuation and deep research, quantitative investing and factors, derivatives hedging and options, portfolio theory and risk management, machine learning and alternative data, a minor project researching a quantitative factor strategy, fund management behaviour and governance, and a major project delivering a professional investment deliverable.
Stock Market and Investment Analysis with Ucanly, Level 3 Advanced, takes you from analyst to professional investor and quant. This is an advanced educational program in investment analysis and quantitative research. Ucanly and its mentors are not registered investment advisers, this course is not investment advice, and nothing in it is a recommendation to buy or sell any security. Any strategy, backtest, or simulated result implies future returns, and all markets carry genuine risk of loss. Every project in this level uses simulated data, historical data, backtesting, and simulated portfolios only, with no real money. Built for practitioners who have completed the Intermediate level or have hands on experience building valuation models, research reports, and backtested strategies, this program goes deep into advanced DCF and reverse DCF, valuing difficult businesses, and factor investing across value, momentum, quality, and size. In your minor project in week eight, you will research a complete quantitative factor strategy, backtested and validated end to end, with a defined hypothesis, factor construction, out of sample testing, risk and transaction cost modelling, and a defended research report. You will then study options, hedging, and derivatives, modern portfolio theory and risk models, and machine learning and alternative data applied honestly to investing. You will graduate having delivered a full professional investment deliverable in your week twelve major project, either a deep buy side thesis with a valuation and catalyst model, or a systematic fund strategy with backtests, a risk framework, and attribution, defended to Ucanly mentors acting as an investment committee.
Complete this course to earn a verified Ucanly certificate you can add to your profile, share on LinkedIn, and showcase to employers as proof of the skills you've built.
No. This is an advanced educational program in investment analysis and quantitative research. Ucanly and its mentors are not registered investment advisers, this course is not investment advice, and nothing in it is a recommendation to buy or sell any security. Any strategy, backtest, or simulated result implies future returns, and real decisions should be based on your own judgement and, where needed, a SEBI registered adviser.
It is recommended, but hands on experience building valuation models, research reports, and backtested strategies is sufficient to start.
Yes, your minor project is a complete quantitative factor strategy researched, backtested, and validated end to end, with a defined hypothesis, factor construction, out of sample testing, risk and transaction cost modelling, and a defended research report.
A full investment research and portfolio management deliverable, either a deep buy side thesis with a valuation and catalyst model, or a systematic fund strategy simulated fund with backtests, a risk framework, and attribution, defended to Ucanly mentors as an investment committee.