Pandas-ta-classic 0.6.52: SMC liquidity sweep detector, Ichimoku fixes
Pandas TA Classic version 0.6.52 has been released, adding an SMC liquidity sweep detector and fixing Ichimoku calculations. The library provides 193 technical indicators and 62 native candlestick patterns, totaling 253 unique tools without requiring TA‑Lib. It supports installation via both uv and pip, offers optional TA‑Lib acceleration, and can be speed‑enhanced with numba.
- ▪The new release introduces an SMC liquidity sweep detector and updates the Ichimoku indicator implementation.
- ▪Pandas TA Classic includes 193 category indicators and 62 native candlestick patterns, all implemented in pure Python.
- ▪Users can optionally enable TA‑Lib or tulipy for accelerated calculations on 59 core indicators.
- ▪Installation is supported through modern uv or traditional pip package managers, with optional dependencies for Oracle parity libraries.
- ▪Performance can be boosted 6–230× on hot‑loop indicators by installing numba.
Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/xgboosted/pandas-ta-classic |
| Publication time | Fri, 26 Jun 2026 07:48:22 +0000 |
| Retrieval time | 2026-06-26T08:07:31.019Z |
| Last seen | 2026-06-26T08:07:31.019Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | rav7iyn4FPrE |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Pandas TA Classic - Technical Analysis Library Pandas TA Classic is an easy-to-use library that leverages the Pandas package with 193 indicators and utility functions and 62 native candlestick patterns (253 total unique — no TA-Lib required). Many commonly used indicators are included, such as: Simple Moving Average (sma), Moving Average Convergence Divergence (macd), Hull Exponential Moving Average (hma), Bollinger Bands (bbands), On-Balance Volume (obv), Aroon & Aroon Oscillator (aroon), Squeeze (squeeze) and many more. This is the classic/community maintained version of the popular pandas-ta library.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.