Follow One Alpha Through the System
Map the complete BTC/USD research-to-paper pipeline and its trust boundaries.
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.
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.
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.
Map the complete BTC/USD research-to-paper pipeline and its trust boundaries.
Bind configuration, provider code, source data, policy, and outputs to stable identities.
Detect malformed, missing, duplicated, and out-of-order data before research.
Turn the opening-range rule into a tracked run without same-bar lookahead.
Build embargoed walk-forward folds and decide from out-of-sample evidence only.
Verify the Alpaca paper environment and produce sanitized readiness proof.
Derive idempotent intent from exposure, position, and working-order facts.
Handle uncertain order outcomes without blind retries and restore paper exposure.
Bind an approved bundle to a schedule with deadlines, heartbeats, and receipts.
Detect missing and unhealthy runs before treating the paper system as ready.
Replay the evidence chain and prove no stage or artifact was skipped.
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.
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.
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.
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.
Get the self-paced course, guided labs, platform-specific package, pipeline snapshot, evidence tooling, and founding-cohort materials archive.
One-time purchase
$249
Educational paper-trading course. No profitability claim. No live-capital authorization.
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.
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Founding Member
Lock in $25/mo forever ($300/yr). Price goes to $35/mo after the first 100 members.
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