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Releases: rsitech-ai/hlscreen

hlscreen v0.1.2

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@s1korrrr s1korrrr released this 21 Jul 03:18

hlscreen v0.1.2

Read-only Hyperliquid spot market-data recorder, feature engine, and terminal screener.

Built from the exact merged main commit 95d5aa63ba12f39ecfb6485bf208091b60effc83 (tag v0.1.2).

Install (Apple Silicon macOS)

shasum -a 256 -c hlscreen-aarch64-apple-darwin.tar.gz.sha256
tar -xzf hlscreen-aarch64-apple-darwin.tar.gz
./hlscreen-aarch64-apple-darwin/bin/hls --help
./hlscreen-aarch64-apple-darwin/bin/hls doctor --data-dir /tmp/hlscreen-v0.1.2

macOS Intel, Linux, and Windows remain source-build targets for this release.

Signature

  • Developer ID Application: Rafal Sikora (2NY8A789TN)
  • Hardened runtime enabled; secure-timestamped signature
  • Notarized by Apple: submission c32fafca-54f6-416f-a471-a59df596d93e Accepted with no issues; Gatekeeper assesses the binary as Notarized Developer ID (the ticket is validated online; a bare Mach-O in a tar.gz cannot carry a stapled ticket)
  • Development Team 63699R7MNH was not used for distribution signing

Changes

  • Public-tree and published-history hygiene: internal development tooling, internal audit reports, and a personal-email .mailmap remap removed from the repository and its history
  • Third-party attribution regenerated; all packaged Rust dependency licenses and notices preserved
  • CI installs uv from PyPI (pinned) so the workflow runs under a GitHub-owned-actions-only policy
  • Oversized boolean-filter regression test fixed for Linux argument-size limits
  • Fresh 15-minute supervised all-symbol soak evidence at the exact release source tree (oss-release-v012-20260721: clean shutdown, replay parity passed, 0 gaps)
  • See CHANGELOG.md and docs/releases/v0.1.2.md

Checksums

9d7bcdca014688a3fee77f68991e8aed6f738564abd7508fad1ce175c1b71b75  hlscreen-aarch64-apple-darwin.tar.gz

License: Apache-2.0. Copyright 2026 Rafal Sikora. Maintained by RSI Tech. Contact: info@rsitech.ai

hlscreen v0.1.1

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@s1korrrr s1korrrr released this 20 Jul 23:19

hlscreen v0.1.1

Read-only Hyperliquid spot market-data recorder, feature engine, and terminal screener.

Originally built from the pre-rewrite merged main commit 806fd374. The published history was later rewritten to remove internal development material; tag v0.1.1 now points to the equivalent sanitized commit 93ffb95fa48f1041514d97107c785af9de46af14.

Install (Apple Silicon macOS)

shasum -a 256 -c hlscreen-aarch64-apple-darwin.tar.gz.sha256
tar -xzf hlscreen-aarch64-apple-darwin.tar.gz
./hlscreen-aarch64-apple-darwin/bin/hls --help
./hlscreen-aarch64-apple-darwin/bin/hls doctor --data-dir /tmp/hlscreen-v0.1.1

Signature

  • Developer ID Application: Rafal Sikora (2NY8A789TN)
  • Hardened runtime enabled
  • Not notarized in this release
  • Development Team 63699R7MNH was not used for distribution signing

Changes

  • Public-tree hygiene: removed maintainer/agent journals while retaining Spec Kit tooling and product specs/
  • Workspace version 0.1.1
  • See CHANGELOG.md and docs/releases/v0.1.1.md

Checksums

a5065e1e548dc91f0f8fb6c69babcf09161c66e88a44b7d2e2664c4529554fab  hlscreen-aarch64-apple-darwin.tar.gz

License: Apache-2.0. Copyright 2026 Rafal Sikora. Maintained by RSI Tech (https://rsitech.ai). Contact: info@rsitech.ai

hlscreen v0.1.0

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@s1korrrr s1korrrr released this 20 Jul 21:02

hlscreen v0.1.0

hlscreen is a read-only Rust terminal workstation for recording, replaying,
and screening public Hyperliquid spot market data. It does not connect wallets,
handle private keys, read private account streams, or expose order, cancel, or
withdrawal routes.

Highlights

  • Adaptive Ratatui workstation with live public market, chart, book, tape,
    quality, and operational views.
  • Deterministic public-data recording, replay, confidence parity, screening,
    and why-ranked explanations.
  • Local SQLite/JSONL/Parquet evidence, bounded public backfill, health output,
    fixture benchmarks, and read-only localhost API helpers.
  • Native Apple Silicon macOS package with the project license, dependency
    licenses, project and third-party notices, README, changelog, and SHA-256
    checksum.

Install on Apple Silicon macOS

Download hlscreen-aarch64-apple-darwin.tar.gz and its adjacent .sha256 file,
then run:

shasum -a 256 -c hlscreen-aarch64-apple-darwin.tar.gz.sha256
tar -xzf hlscreen-aarch64-apple-darwin.tar.gz
./hlscreen-aarch64-apple-darwin/bin/hls --help
./hlscreen-aarch64-apple-darwin/bin/hls doctor --data-dir /tmp/hlscreen-v0.1.0

Rust 1.88 and source-build instructions remain available for macOS Intel,
Linux, and Windows. This release does not claim prebuilt binaries for those
targets because their hosted native-runner builds could not execute while the
GitHub Actions account was billing-blocked.

The Apple Silicon archive is not Developer ID-signed and is not notarized. Its
Mach-O binary carries only the linker-generated ad hoc signature and has no
Apple team identifier. This release does not claim Developer ID or Gatekeeper
validation.

Known limitations

  • This is a pre-1.0 research workstation, not a trading bot, execution system,
    hosted service, or source of financial advice.
  • Long-running unattended daemon operation, production alert delivery, and
    multi-day supervised soak proof remain outside the proven release boundary.
  • Hosted multi-platform installers, published SBOM/provenance, and native-runner
    verification remain pending.
  • Public exchange APIs can fail, throttle, disconnect, or change independently
    of this project; recording gaps remain visible and degrade confidence.

License and maintenance

hlscreen is licensed under Apache-2.0. Copyright 2026 Rafal Sikora. The
project is publicly maintained by RSI Tech; public and
confidential project contact is info@rsitech.ai.

Upgrade notes

This is the first public release. There is no migration from an earlier public
version. Local data remains under the operator-selected data directory; back it
up before changing schema-sensitive workflows.

Report vulnerabilities privately through the repository's
security policy. General questions belong in
GitHub Discussions.