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Quantzivo Academy

Live Bootcamps

Intensive, instructor-led programs where a cohort builds a real project together, with live sessions and code reviews at every stage.

Enrollment opening soon
Register your interestSee the bootcamps
What a bootcamp is

Build alongside instructors and peers

A bootcamp trades the flexibility of a self-paced course for momentum. You follow a fixed plan with a cohort, ship a project in stages and get direct feedback on your code and your reasoning.

  • One focused outcome per bootcamp, from data pipelines to research reports
  • Live instruction with time for questions and walkthroughs
  • Code reviews that catch bias, leakage and fragile logic early
  • Honest evaluation that includes costs, drawdowns and limitations
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Illustrative backtest report with sample performance and drawdown metrics, the kind of output reviewed in a bootcamp
Planned bootcamps

Five bootcamps, five things you will build

Each bootcamp is organized around a single project. Prerequisites are listed so you can judge whether you are ready.

Beginner to Intermediate

Python Algo Trading Bootcamp

Focus: the Python, pandas and NumPy workflow for loading market data, computing indicators and running a first rule-based backtest.

  • Python
  • pandas
  • Market data APIs
  • Indicators
  • You build: a validated daily price loader, a tested indicator library and a simple crossover backtest
  • Prerequisites: basic computer literacy; some exposure to programming and market concepts is helpful
Register interest
Advanced

AI Trading Systems Bootcamp

Focus: applying machine learning and NLP to market research with time-series-aware validation, and understanding why most models fail out of sample.

  • Feature engineering
  • NLP sentiment
  • Walk-forward testing
  • Leakage checks
  • You build: a feature pipeline, a headline sentiment classifier and a walk-forward evaluation with error analysis
  • Prerequisites: strong Python and pandas, introductory statistics, and experience with backtesting
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Advanced

Quant Research Bootcamp

Focus: the research process itself: forming hypotheses, testing factors, analyzing portfolio risk and documenting what the evidence does and does not show.

  • Regression
  • Factor portfolios
  • Risk decomposition
  • Robustness
  • You build: a factor study with sensitivity and regime analysis, written up as a peer-reviewed research report
  • Prerequisites: comfort with statistics and Python, plus experience building strategy backtests
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Intermediate

Financial Data Engineering Bootcamp

Focus: moving market data reliably from source to analysis: ingestion jobs, validation, corporate actions, time-series storage and serving data through an API.

  • Ingestion
  • Data validation
  • Time-series storage
  • API design
  • You build: a market data service with scheduled ingestion, validation checks, logging and a documented REST API
  • Prerequisites: working Python; basic SQL and web concepts are helpful
Register interest
Intermediate

Strategy Builder Bootcamp

Focus: turning a trading idea into precise entry, exit and sizing rules, then testing it with realistic costs before deciding whether it deserves more research.

  • Strategy rules
  • Position sizing
  • Cost modeling
  • Performance metrics
  • You build: two rule-based strategies with full backtest reports and a written comparison memo
  • Prerequisites: Python and pandas skills, and an understanding of basic market concepts
Register interest
For institutions

A bootcamp for your campus or team

Any of these bootcamps can be adapted for a college cohort or a professional team, with examples and pacing matched to the group.

Discuss a team cohort
Flagship programs

Our longest, most mentored tracks

Professional programs that combine several courses with live technical mentoring where included, code reviews and a capstone assessment.

Quantzivo Professional Algo Developer - Program course thumbnail
Intermediate12 weeks7 modules

Quantzivo Professional Algo Developer

A 12-week program that takes you from Python market data work to building, backtesting, validating and engineering algorithmic strategies as tested software.

Proposed fee$2,499
View details
Quantzivo AI & Quant Researcher Program - Program course thumbnail
Advanced16 weeks8 modules

Quantzivo AI & Quant Researcher Program

A 16-week research program covering statistics, time-series models, machine learning, factor research and NLP, applied through rigorous validation on historical data.

Proposed fee$3,499
View details
Quantzivo FinTech Systems Engineer - Program course thumbnail
Advanced16 weeks8 modules

Quantzivo FinTech Systems Engineer

A 16-week engineering program for building financial platforms end to end: backend APIs, React frontends, data pipelines, cloud infrastructure and systems architecture.

Proposed fee$3,999
View details
How bootcamps run

Structured, social and project-driven

01

Instructor-led sessions

Live teaching that introduces each stage of the project and works through examples together.

02

Cohort learning

You progress with a group, compare approaches and learn from how others solve the same problem.

03

Project milestones

The project is split into checkpoints, so problems surface early rather than at the end.

04

Code reviews

Reviews focus on correctness, look-ahead bias, data leakage and readable, testable code.

Who should join

Bootcamps suit learners who want accountability

If you learn best with deadlines, feedback and other people working on the same problem, a bootcamp is likely a better fit than a self-paced course.

Final-year students

Finish with a substantial project to discuss in interviews for quant, data or fintech roles.

Developers changing domain

Apply engineering skills you already have to market data and research tooling.

Analysts and data scientists

Learn the time-series validation and cost modeling that financial data demands.

Traders formalizing ideas

Turn discretionary rules into code and see how they hold up under testing.

Course graduates

Consolidate what you learned in Academy courses with a guided, end-to-end build.

Working professionals

Upskill with a structured cohort when self-study keeps slipping down the list.

Course or bootcamp?

How the two formats differ

AspectSelf-paced courseLive bootcamp
PaceFlexible, set by youFixed plan shared by the cohort
InstructionRecorded lessons, with live Q&A when run as a cohortInstructor-led live sessions throughout
Project workSeveral smaller projects across modulesOne substantial project built in milestones
FeedbackAutomated checks and project rubricsRegular code reviews and milestone feedback
PeersOptionalCentral to the format
Best forLearning a topic thoroughly around other commitmentsBuilding a portfolio project with accountability
Browse self-paced courses Explore learning paths
Bootcamp FAQs

Before you register interest

All FAQs

Dates, formats and pricing have not been announced yet. Register your interest and we will contact you as soon as cohorts are confirmed.

Compare the prerequisites with the related course curricula on the courses page. If you are unsure, mention your background when you register interest.

No. Projects use historical data, backtests and simulated results only. Bootcamps teach research and engineering skills, not investment advice, and they do not promise trading returns.

Bootcamps are planned to award a certificate of completion when you finish the project and its reviews. Like all Quantzivo certificates, it recognizes completion and is not a professional license or qualification.
Live bootcamps

Join the list for the first cohorts

Tell us which bootcamp interests you. We will share cohort formats, schedules and pricing as soon as they are confirmed.

Register your interest Bootcamps for teams
Not investment adviceEducation & software only