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TrendingMomentumPulseExplore
  1. Home
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  3. wangzhe3224
  4. awesome-systematic-trading
HTMLNiche visibilityFresh activityNo linked package signalPartial snapshot

wangzhe3224/awesome-systematic-trading

Rank not captured·Top 100·All-time stars·◐Cached ranking snapshot·Updated Oct 10, 2026

A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资

Compare closest alternativesOpen GitHub

First read

Promising movement, but the picture is still partial

wangzhe3224/awesome-systematic-trading is active enough to inspect further, but the surrounding proof is thinner. Use the source repository and nearby comparisons to decide whether this is rising substance or just short-term visibility.

Visible

5.3K public stars in the current GitStar snapshot.

Needs a narrower context read

Active

Last commit Oct 5, 2026.

Fresh activity

Adopted

Treat stars as discovery context until a linked package appears.

No linked package mapping

Confidence

One or more key signals are partial, so GitStar keeps the interpretation conservative.

Partial snapshot

Snapshot facts

  • 5.3K stars
  • 707 forks
  • Last commit Oct 5, 2026
  • Package usage not mapped yet

Compare lens

wilsonfreitas/awesome-quant and paperswithbacktest/awesome-systematic-trading are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.

Signal trail

Trajectory

Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.

Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Oct 5, 2026

Package reality

No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.

No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.

Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read

Validation note

GitStar can summarize public signals for wangzhe3224/awesome-systematic-trading, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.

algorithmic-tradingalphaawesome-listbacktestingbitcoincryptocurrenciescryptocurrencyfinancefinancesgolangpythonquantquantitative-tradingrustsystematic-tradingsystematic-trading-strategiestradingtrading-algorithmstrading-bottrading-strategies
🎓The Professor🐙Polyglot
🛡️ Editorial Context

GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.

Why this rank

This repository stands out because it combines fresh update.

Fresh update
📈 Momentum & Adoption Signals
Approximate star trajectory

Reconstructed from current stars and cached daily/weekly/monthly deltas.

Now: 5.3K
30d ago7d ago1d agoNow
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars5.3K
🧭 Hype vs Reality
Insufficient Package Data

GitStar can see repository momentum, but it does not have a reliable linked package signal yet.

Treat stars and recent movement as discovery context only until npm or PyPI usage is available.

Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other HTML repos before treating stars as a moat.
📐 Read the Hype vs Reality heuristic
Related alternative

wilsonfreitas/awesome-quant

Shares the awesome-lists category footprint with wangzhe3224/awesome-systematic-trading, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

paperswithbacktest/awesome-systematic-trading

Shares the awesome-lists category footprint with wangzhe3224/awesome-systematic-trading, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

thuquant/awesome-quant

Shares the awesome-lists category footprint with wangzhe3224/awesome-systematic-trading, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

akfamily/akshare

Shares the libraries category footprint with wangzhe3224/awesome-systematic-trading, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Research links

Cross-links

Compare against related repos

GitStar picked awesome-quant + awesome-systematic-trading as the closest next comparison from the related repository set.

Open compare presetCompare with awesome-quantCompare with awesome-systematic-trading
Repo utility

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GitHub Repositorywangzhe3224/awesome-systematic-tradingExport Ranking DataDownload CSV

Wider nearby ecosystem

Compare with awesome-quantCompare with awesome-systematic-trading
HTML
30K stars
wilsonfreitas/awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Python
14.6K stars
paperswithbacktest/awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

Unknown
5.7K stars
thuquant/awesome-quant

中国的Quant相关资源索引

Python
22.9K stars
akfamily/akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Python
5.5K stars
google/tf-quant-finance

High-performance TensorFlow library for quantitative finance.

Python
326.2K stars
vinta/awesome-python

The definitive list that answers "I want to do X in Python, which tool should I use?"

Next step after the validation read

Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Compare the closest alternativesRead the heuristic

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

About This Page

This page provides a quick overview of wangzhe3224/awesome-systematic-trading based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.

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