Forge Learn

Build Your Algorithmic Trading
Pipeline From End to End

Stop stitching together disconnected scripts, courses, and tutorials. Follow one BTC/USD strategy from market data and reproducible research through walk-forward validation, Alpaca paper execution, scheduling, and monitoring.

Learn where trading pipelines silently break, how each component fits together, and how to operate and extend the finished pipeline without surrendering control to a black box.

One strategy. Eleven learning units. One complete research-to-paper workflow.

Self-paced. One-time purchase. Hands-on Python labs. No live capital required.

What You Will Build

Graduate From Isolated Backtests to a Complete System

Every unit advances the same pipeline. By the end, you will have followed one strategy from raw market data to a monitored paper operation and learned to explain, test, operate, improve, and replace its components.

The result is a testable, paper-operated system ready for disciplined evaluation. Forge teaches infrastructure and operating discipline; it does not promise profitability or authorize live trading.

Curriculum

11 Learning Units. One Cumulative System.

The core path is roughly 10.5 to 13.5 hours of focused work. Complete it at your own pace, in order, so every artifact has a verified upstream source.

00

Follow One Alpha Through the System

Map the complete BTC/USD research-to-paper pipeline and its trust boundaries.

01

Ownership and Artifact Identity

Bind configuration, provider code, source data, policy, and outputs to stable identities.

02

Data Meaning and Certification

Detect malformed, missing, duplicated, and out-of-order data before research.

03

From Alpha Rule to Reproducible Research

Turn the opening-range rule into a tracked run without same-bar lookahead.

04

Temporal Validation

Build embargoed walk-forward folds and decide from out-of-sample evidence only.

05

Certify the Paper Runtime

Verify the Alpaca paper environment and produce sanitized readiness proof.

06

Runtime Compatibility and Order Intent

Derive idempotent intent from exposure, position, and working-order facts.

07

Broker Uncertainty and Reconciliation

Handle uncertain order outcomes without blind retries and restore paper exposure.

08

Scheduled Paper Deployment

Bind an approved bundle to a schedule with deadlines, heartbeats, and receipts.

09

Monitoring Silence and Readiness

Detect missing and unhealthy runs before treating the paper system as ready.

10

End-to-End Capstone

Replay the evidence chain and prove no stage or artifact was skipped.

Delivery

Read It. Break It. Repair It. Prove It.

One connected system

Each unit begins with a plausible incident. You inspect the failure, repair the student implementation, run public checks, challenge shortcuts with adversarial fixtures, and retain a machine-readable handoff.

Technical independence

Understand where decisions belong and how to change components without quietly changing the meaning of the system. Use AI as a tool without treating its output as authority.

Included

  • Eleven ordered learning units and browser-based lessons
  • Guided Python repair labs, public checks, and hostile fixtures
  • Evidence artifacts and a cumulative progress ledger
  • Linux, Windows, Intel Mac, and Apple Silicon packages
  • Offline deterministic core labs and pinned dependencies
  • Required Alpaca paper practicum with no live capital
  • Founding-cohort recordings and materials archive
  • Member workspaces for lessons, workbooks, and feedback

Current protected downloads are the Forge Course 0.3.0 student testing release. Linux is published for x86-64; Windows and macOS packages are available with native validation pending.

Who It Is For

Built for Developers Who Want Evidence, Not Just Equity Curves

Forge is for Python-capable traders, researchers, and software engineers who want to understand the full system around an alpha idea. You should be comfortable reading basic Python and using a terminal. Prior experience with quantitative workflows, broker APIs, cloud platforms, or the Forge codebase is not required.

Requirements: Python 3.13 or newer. An Alpaca paper account is required for the networked broker practicum, but unavailable external access does not erase completed offline work.

Forge Learn

Stop Piecing Together the Pipeline. Build the Complete System.

Get the self-paced course, guided labs, platform-specific package, pipeline snapshot, evidence tooling, and founding-cohort materials archive.

One-time purchase

$249

Get Forge Learn →

Educational paper-trading course. No profitability claim. No live-capital authorization.

Forge Ship Alumni Access

New sales are closed. Existing access remains.

Forge Ship and the Learn + Ship bundle are no longer available to new buyers. Existing customers retain their protected releases, checksums, account routes, and fulfillment support.

Untilt — Forge Product Beta — Android

Behavioral Fitness for Traders

Untilt measures how you trade, not just what you make. Score your discipline across seven behavioral dimensions daily, detect drift before it costs you, and build consistency over time. Upload your broker CSV and see your process data in minutes.

  • 7-dimension daily behavioral scoring
  • Tradovate & TradingView CSV import
  • Revenge trading, FOMO & overtrading detection
  • Weekly behavioral report cards

Android Beta

Request access to the closed Android beta. We'll add you to the testing group.

iPhone — Coming Soon

iOS is on the roadmap. Get notified when it launches.

Founding Member

Lock in $25/mo forever ($300/yr). Price goes to $35/mo after the first 100 members.

Lock in founding price — $300/yr

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