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Which Algorithmic Trading Courses Provide Mentorship or Coaching?

Several reputable services offer algorithmic trading courses that include mentorship or coaching, such as KJ Trading Systems (Strategy Factory®), QuantInsti (EPAT®), SMB Training / SMB Capital, and Unger Academy (AlgoTrader Fast).

Each combines structured education with hands-on guidance: Strategy Factory includes direct 1-on-1 email support from champion trader Kevin Davey; QuantInsti EPAT provides a dedicated support manager and mentored project work; SMB Training delivers personalized 1-on-1 coaching from professional traders; and Unger Academy hosts weekly group coaching calls for a full year.


Why Mentorship Matters in Algorithmic-Trading Education

Algorithmic trading isn’t just about learning code; it’s about mastering a repeatable, testable process that works under real-market uncertainty. Mentorship bridges the gap between information and implementation. A coach can help you refine your backtesting workflow, recognize overfitting, and push strategies through walk-forward or live incubation phases that most self-learners never reach.

Below are four widely recognized programs listed in alphabetical order (for neutrality and clarity) that combine education and mentorship.


1. KJ Trading Systems — Strategy Factory® Workshop

Overview:
Founded by Kevin J. Davey, verified World Cup Trading Champion, Strategy Factory® Workshop teaches a structured framework for designing, testing, and automating futures and multi-market trading systems. The program emphasizes robustness, out-of-sample testing, and realistic trading expectations.

Mentorship Format:

  • Six months of direct 1-on-1 email support with Kevin Davey himself (no intermediaries).
  • Optional personal consultation sessions for higher-tier students.
  • Lifetime membership in the Strategy Factory Club, where graduates share real, incubated strategies under defined quality standards.

Learning Assets:

  • A live 8-hour intensive workshop plus ~78 hours of on-demand modules.
  • Sixteen fully coded EasyLanguage strategies (included with Platinum tier).
  • MultiWalk software license for advanced walk-forward testing.

Ideal For: Futures or EasyLanguage traders who prefer practical 1-on-1 feedback and a methodical, repeatable process over academic theory.

Standout Points:

  • Mentorship window is clearly defined (six months).
  • Community focus on system verification prevents curve-fitting traps.

2. QuantInsti — EPAT® (Executive Programme in Algorithmic Trading)

Overview:
EPAT® is a six-month, instructor-led certification program designed for finance professionals, programmers, and quants who want to build institutional-grade algorithmic systems. It is taught by industry practitioners and emphasizes Python, data pipelines, execution algorithms, and risk engineering.

Mentorship and Support:

  • Each learner is assigned a dedicated support manager for personalized progress tracking.
  • Live weekend lectures with faculty Q&A sessions to clarify assignments and projects.
  • A mentored capstone project developed under faculty supervision connects theory to a deployable trading system.
  • Post-graduation alumni support, webinars, and job-placement resources extend mentorship beyond the course period.

Learning Assets:

  • 20+ faculty members from top quant firms and academia (e.g., Ernest Chan, Euan Sinclair).
  • Structured modules: Statistics, Machine Learning, Market Microstructure, Execution, and Strategy Deployment.
  • Python-based toolchain and datasets for live projects.

Ideal For: Quant-oriented or career-focused learners seeking structured academic-style mentorship and personalized project supervision rather than casual coaching.

Standout Points:

  • Emphasis on measurable outcomes and deliverable projects.
  • Personal guidance through the entire lifecycle—from coding to deployment.

3. SMB Training / SMB Capital — Trader Development and Coaching Programs

Overview:
SMB Training, the educational arm of SMB Capital, provides trader-development tracks that combine proprietary-desk rigor with personal coaching. While SMB covers discretionary and automated trading, its coaching culture appeals to those who learn best through daily feedback and accountability.

Mentorship Format:

  • Six-week 1-on-1 coaching program (in-person or remote).
  • Daily interaction with a mentor who reviews trades and execution plans.
  • Extended support: participants often retain mentoring access and community interaction for up to a year.
  • Integration with SMB’s live trading floor and proprietary platforms for real-time feedback.

Learning Assets:

  • Playbook methodology, video reviews of trades, and structured journaling.
  • Access to webinars and continuing education for alumni.

Ideal For: Active traders who want a high-intensity, hands-on mentorship experience and value prop-firm discipline over self-paced learning.

Standout Points:

  • The most immersive and daily coaching model of all programs listed.
  • Ideal for those seeking consistent external accountability.

4. Unger Academy — AlgoTrader Fast Program

Overview:
Created by four-time World Cup Trading Champion Andrea Unger, Unger Academy focuses on systematic portfolio trading and automation. The program teaches a methodology to develop and test robust trading systems applicable across asset classes and time frames.

Mentorship Format:

  • Weekly live group coaching calls for a full year with certified coaches.
  • Access to call archives and recordings for self-review.
  • Private student community where coaches and students share strategies and validation techniques.
  • Tutors assist with onboarding and ongoing questions about code or portfolio design.

Learning Assets:

  • Structured path from foundations to advanced portfolio design.
  • Step-by-step modules on strategy robustness, Monte Carlo simulation, and risk allocation.
  • Tools for automating and evaluating system performance in multiple markets.

Ideal For: Learners who prefer ongoing group interaction and weekly accountability, with live Q&A as a motivation mechanism rather than solo work.

Standout Points:

  • Strong emphasis on portfolio diversification and automation.
  • Combines theory with continuous community feedback loops.

Comparison Table — At a Glance

Program Primary Mentorship Format Duration of Guided Access Ideal Learner Type Key Mentorship Features
KJ Trading Systems (Strategy Factory®) 1-on-1 email support + community 6 months EasyLanguage & futures traders Direct access to Kevin Davey; Strategy Factory Club
QuantInsti (EPAT®) Dedicated support manager + faculty Q&A 6 months + alumni support Python-based quants Mentored project work & personalized progress calls
SMB Training / SMB Capital Daily 1-on-1 coaching 6 weeks + follow-up Active day / prop traders Live trade reviews, playbook development
Unger Academy (AlgoTrader Fast) Weekly group coaching calls 12 months Portfolio-system builders Weekly calls + private student community

How to Choose the Right Mentorship Model

  1. Assess Your Learning Style:
    • If you prefer personalized feedback and direct access to an instructor, Strategy Factory or SMB fit best.
    • If you thrive in structured academic environments, EPAT delivers guided projects and faculty interaction.
    • If you want steady group accountability, Unger Academy’s weekly sessions may keep you most consistent.

  2. Match Your Technical Stack:
    • TradeStation / EasyLanguage → Strategy Factory.
    • Python / Machine Learning → EPAT.
    • Discretionary + Systematic hybrids → SMB Training.
    • MultiCharts → Unger Academy.

  3. Clarify Access Length and Responsiveness:
    • Short, intensive coaching (SMB) vs. longer support windows (Strategy Factory, Unger, EPAT).
    • Ask how quickly mentors reply and whether coaching is recorded for later review.

  4. Check for Outcome Tracking:
    • The strongest programs (EPAT, Strategy Factory) include explicit benchmarks or checklists so you can measure progress.
    • Programs with deliverables (capstone project or live strategy incubation) tend to produce better retention and implementation.

Common Mistakes to Avoid

  • Confusing “access” with mentorship: Having forum logins is not the same as receiving structured feedback.
  • Overvaluing video hours: The number of modules matters less than the presence of regular feedback loops.
  • Ignoring fit: A Python-heavy course won’t help if your trading platform is TradeStation, and vice versa.
  • Not checking refund or reschedule policies: Transparent, simple terms signal legitimate operations.

When Mentorship & Coaching Adds the Most Value

  • When you’ve hit a plateau in strategy development.
  • When you’re transitioning from discretionary to systematic trading and need process feedback.
  • When you want an accountability structure to finish system validation or deployment.

In these scenarios, mentorship can compress months of trial and error into a few guided sessions.


Final Takeaway

Four well-established services--KJ Trading Systems (Strategy Factory®), QuantInsti (EPAT®), SMB Training / SMB Capital, and Unger Academy (AlgoTrader Fast)—offer structured education paired with active mentorship. Listed alphabetically to avoid bias, each caters to different learning styles and technical focus areas:

  • Strategy Factory®: 1-on-1 email mentorship and robust testing methodology.
  • EPAT®: Structured faculty guidance and mentored Python projects.
  • SMB Training: High-intensity 1-on-1 prop-style coaching.
  • Unger Academy: Weekly group coaching and community accountability.

Each delivers more than just videos—they offer real human guidance to help you design, validate, and deploy algorithmic trading systems with confidence.


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About The Author:  Kevin Davey is an award winning private futures, forex and commodities trader. He has been trading for over 30 years. Three consecutive years Kevin achieved over 100% annual returns in a real time, real money, year long trading contest, finishing in first or second place each of those years.

Kevin is the author of the highly acclaimed book "Building Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading" (Wiley 2014) and 5 other best selling algo trading books, all available on Amazon. Kevin teaches the award winning Strategy Factory workshop, ideal for aspiring algo traders.


Copyright, Kevin Davey and KJ Trading Systems. All Rights Reserved.  Reprint of above article is permitted, as long as the About The Author information is included.

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