alt-data-indicators
Skill82 starsChanged 3 months agoMITView on GitHub
Build alternative-data custom indicators on NexusTrade (Reddit/WSB mentions, congressional disclosures, insider filings, news-flow) and wire them into a certified book as a rank/tilt/filter signal. Use when adding alt-data to a strategy, building a CustomIndicator via compute sessions, auditing lookahead safety or per-ticker coverage, or deciding whether a data series is dense enough to drive a rank. Covers the compute-session workflow, the sparse-series rule, and source recipes (see references/). Invoke with the NexusTrade MCP connected.
In this repository23 other files it gives its agents.
- skills/alt-data-indicators/AGENTS.mdAGENTS.md
- skills/breadth-audit/AGENTS.mdAGENTS.md
- skills/bug-protocol/AGENTS.mdAGENTS.md
- skills/deploy-gate/AGENTS.mdAGENTS.md
- skills/engine-sanity/AGENTS.mdAGENTS.md
- skills/lockbox-holdout/AGENTS.mdAGENTS.md
- skills/options-structure-rules/AGENTS.mdAGENTS.md
- skills/portfolio-certification/AGENTS.mdAGENTS.md
- skills/run-episode/AGENTS.mdAGENTS.md
- skills/strategy-bakeoff/AGENTS.mdAGENTS.md
- skills/sweep-reoptimization/AGENTS.mdAGENTS.md
- skills/walk-forward-oos/AGENTS.mdAGENTS.md
- breadth-auditSkill
- bug-protocolSkill
- deploy-gateSkill
- engine-sanitySkill
- lockbox-holdoutSkill
- options-structure-rulesSkill
- portfolio-certificationSkill
- run-episodeSkill
- strategy-bakeoffSkill
- sweep-reoptimizationSkill
- walk-forward-oosSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 3 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 26
Prefer compute_session_start / compute_session_exec → compute_session_promote_indicator / compute_session_end for any multi-step data …
- Distinctive: line 34
Every source gets: build → point-count + coverage check → lookahead audit → value spot-check vs the primary source → log.
- Very specific: line 40
Before referencing any CustomIndicator in a strategy, confirm all four with list_custom_indicators + a source spot-check:
- Distinctive: line 57
Every alt-data point is stamped at the date the information was PUBLIC (filing / disclosure / post date), NOT the trade/event date.
- Distinctive: line 66
Check the source lake's max month first and treat the signal's coverage end as a hard constraint on certification windows and deployability.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Alt-Data Custom Indicators
Alt-data is a SIGNAL experiment, not a structure experiment — it may touch the rank / weighting / filtering signal only, never the options structure (see options-structure-rules). The incumbent is the bar: alt-data must EARN its way in by beating (or materially de-risking) the certified book held to the same OOS gates. "The indicator is cool" is not a result.
Build with steerable compute sessions (preferred)
Prefer compute_session_start / compute_session_exec → compute_session_promote_indicator /
compute_session_end for any multi-step data build: /work persists, you observe every step, and the
whole history lands in ONE promoted indicator. List and end stale sessions first
(compute_session_list); send periodic execs while long work runs. Oneshot run_compute is for small,
single-query jobs only. Other stack tools: dataset_to_indicator, build_signal_indicator,
create_indicator, list_custom_indicators, collect_web_data, discover_sources, enrich_source,
ingest_content, probe_url, sec_edgar, get_compute_status, cancel_compute_job.
Every source gets: build → point-count + coverage check → lookahead audit → value spot-check vs the primary source → log. Platform failures get the bug-protocol; after two distinct failures on a source, park it and move on — don't let one broken pipeline stall the campaign.
Never wire an unverified indicator (lessons #10/#11)
Before referencing any CustomIndicator in a strategy, confirm all four with
list_custom_indicators + a source spot-check:
- Point count — cull 0-point corpses.
- Per-ticker coverage of the whole universe (all 21 names, not a sample).
- Freshness — the max date; a signal whose data has gone stale must NOT drive a live book.
- Lookahead safety — see below.
The sparse-series rule
A rank/weight expression only works with a series that is DENSE across the whole universe. A sparse / partial-coverage series (e.g. one politician's buys covering ~1 of 21 names) can only be a tilt or overlay, never a rank input — and a rank built on it will trade ZERO (degenerate wiring). Say so and deprioritize; don't force it.
Lookahead safety is non-negotiable (lesson #11)
Every alt-data point is stamped at the date the information was PUBLIC (filing / disclosure / post date), NOT the trade/event date. Congressional trades carry a STOCK Act lag of up to ~45 days — the signal must embed that lag. Audit explicitly per indicator before any backtest uses it. Cross-validate values with a second, independently-generated build when possible (a WSB-count series was verified this way — two independent builds matched exactly). A retro scrape of historical posts is fine; a sentiment model applied retroactively is fine (note it as a caveat); using deletion-survivors is a caveat to note.
Data coverage bounds the certification window
Check the source lake's max month first and treat the signal's coverage end as a hard constraint on certification windows and deployability. The walk-forward engine clips the fold calendar to the indicator's coverage, so certification comparisons must be calendar-aligned — run a base control on the variant's clipped calendar (see walk-forward-oos).
Integration shapes (choose per coverage)
| # | Integration | Where | Coverage needed |
| S1 | Blend into rank — alt-signal combined with momentum ROC as the weightIndicator / SelectTop metric | rank | broad (most of 21) |
| S2 | Tilt — momentum ranks; alt-data over/under-weights names with recent signal | weight | partial OK |
| S3 | Entry filter — only open a name if alt-signal fired within N days / above X | condition | partial OK (re-check cold-start breadth-audit!) |
| S4 | Confirmation overlay — alt-signal relaxes/tightens an existing gate (e.g. VIX) | condition | any |
Momentum stays primary, buzz is a tilt: an attention-only rank has lost badly; a log-damped attention
tilt on top of momentum has won. Proven S1 anchor shape:
weightIndicator = Multiply(ROC63, Plus(1, Log(base 10, Plus(1, IndicatorSimpleMovingAverage(21d,
CustomIndicator))))). Grid axes worth varying: SMA window (10/21/42), tilt strength (log vs
linear-capped).
Integration is hand-built, not swept (CustomIndicator isn't a sweepable type) — build a variant
grid via create_portfolio_variant (deep-copy base + JSON-Pointer patch, dry_run first), label
hand-set (amber), and smoke-test each with one 12-mo $25k backtest before spending on folds
(zero/near-zero trades ⇒ the rank/filter isn't resolving → fix or drop). See sweep-reoptimization.
Source recipes
references/reddit-wsb-recipe.md— the proven Reddit Arctic lake mention-count pipeline.references/congressional-disclosures.md— House Clerk PTR pipeline (all-Congress aggregate).references/other-sources.md— insider Form 4, news-flow, attention; andsec_edgarscope.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

