Point In Time Python Packages

cnequity

中国 A 股数据基础设施。55个日更数据集：股票行情、基本面、期货数据、资金面、公告事件、指数行业、宏观与风险。行级溯源、PIT 语义、复权与历史成分内置，MCP 原生。自托管，零注册、零 API Token

traceguard

Point-in-time correct LLM instrumentation — tracing, version pinning and look-ahead-bias protection for research pipelines. pip install traceguard

arkleon

Point-in-time SEC EDGAR fundamentals: filing-dated XBRL facts as they were on any past date. Keyless Python client and API.

flowstate-asof-core

High-throughput, Rust-accelerated temporal join engine for quantitative finance ML pipelines. Engineered via PyO3 to eliminate look-ahead bias and accelerate point-in-time feature generation on massive time-series market datasets

tradevodata

Point-in-time US equity fundamentals from SEC EDGAR — as_of is a required argument, so lookahead bias is impossible to write by accident

vintage-mcp

Unifies free financial data of the web

ashare-lake

中国 A 股数据基础设施。55个日更数据集：股票行情、基本面、期货数据、资金面、公告事件、指数行业、宏观与风险。行级溯源、PIT 语义、复权与历史成分内置，MCP 原生。自托管，零注册、零 API Token

flowstate-asof

High-throughput, Rust-accelerated temporal join engine for quantitative finance ML pipelines. Engineered via PyO3 to eliminate look-ahead bias and accelerate point-in-time feature generation on massive time-series market datasets

pit-release-gate

Screen quant/ML feature pipelines for look-ahead bias from late-arriving data: measure each signal's leakage susceptibility and gate release until the cross-section is safe. Python, MIT.

alphaverdict

Adversarial research verdicts for stock strategies - deterministic reviewers that try to falsify your backtest before the market does

alphaagent-quant

Multi-agent stock & crypto screening with leakage-aware (point-in-time) LLM evaluation and an honest, mechanical backtest.

perception-xalpha-lite

Backtest overfitting audit for factor research: probability of backtest overfitting (PBO), deflated Sharpe ratio, point-in-time data, purged walk-forward. Searches published factor libraries and reports what actually survived costs.

timefence

Stop silent data leakage in ML training pipelines.

sciqnt

Local-first, agent-native portfolio tracker & cross-asset financial data layer — canonical PIT schema, deterministic money math, community broker connectors, TUI + JSON surfaces