ml4t-strategy-workflow skillA
ml4t-strategy-workflow is agent-read markdown (skill) from ml4t/skills: End-to-end strategy development lifecycle from hypothesis to live trading. Use when starting a new strategy project or onboarding to the ML4T workflow..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Strategy Development Workflow
Strategies fail because developers skip straight to modeling. The correct process spends most time on hypothesis and data, with modeling as a small fraction.
## The Problem
A researcher downloads data, fits a model, runs a backtest, and sees a 2.5
Sharpe ratio. They deploy, then lose money because there was no documented
hypothesis, no feature validation, no cost model, and no holdout.
## The Pattern
### WRONG
```python
# Jump straight to modeling - no hypothesis, no validation gates
import lightgbm as lgb
data = load_data()
features = data[["momentum", "volatility", "volume"]]
labels = data["next_day_return"]
model = lgb.LGBMRegressor().fit(features, labels)
predictions = model.predict(features) # Predicting on training data!
# "Looks great, ship it"
print(f"R2: {r2_score(labels, predictions):.3f}") # 0.95 - overfitting
```
### CORRECT
```python
# Seven stages with quality gates between each
hypothesis = {
"mechanism": "Momentum persists due to slow institutional rebalancing",
"signal": "12-month risk-adjusted return predicts 1-month forward return",
"kill_criteria": "IC < 0.02 or non-monotonic quintiles",
…Read the whole file at its exact version.
How to install
mdr add ml4t/skills/ml4t-strategy-workflow@git:20260901.1323bf4mdr add ml4t/skills/ml4t-strategy-workflow@sha256:611ef4ab31eaddedPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_aw4emh4we4wk435b)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260901.1323bf4 latest | 2026-09-01 | 1323bf4 | 4,368 B | A | view · diff |
| git:20260901.297789f | 2026-09-01 | 297789f | 4,299 B | A | view · diff |
| git:20260901.85fc79b | 2026-09-01 | 85fc79b | 4,238 B | A | view · diff |
| git:20260901.c415df0 | 2026-09-01 | c415df0 | 4,219 B | A | view · diff |
| git:20260528.303089e | 2026-05-28 | 303089e | 4,191 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4368 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ml4t/skills · 19 stars · license Apache-2.0 · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_aw4emh4we4wk435b GET https://markdownregistry.com/api/v1/resolve?ref=ml4t/skills/ml4t-strategy-workflow GET https://markdownregistry.com/api/v1/blob/611ef4ab31eadded8d6e700d703290f2ad19a85768a5415096b24e426630029e
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.