Audit Excel workbooks before you trust, send, or deliver them. Detect formula, structure, data-quality, hidden-content, dependency, validation, and consistency risks with traceable evidence — without modifying the original file.
Build auditable Excel financial models with live formulas, sourced inputs, automated checks, and sensitivity analysis—all generated headlessly with openpyxl.
markdown／text ファイル末尾の KNOWLEDGE_ENTRY_V1 ブロックを抽出し、ジャンル別 xlsx 台帳の該当シート末尾へ自動追記します。ID重複検出（冪等）＋非破壊書込（既定は新ファイル出力・--in-place で上書き）。AIセッション横断で研究ノート／チャット要約／ビジネスアイデアを蓄積する knowledge worker 向け。ローカル処理のみ・LLM呼び出しゼロ・ネットワーク不要。
Turn Excel or CSV research data into editable Origin projects, publication-ready figures, reusable templates, and QA reports.
Paste your broker statement and get an institutional-grade performance review: win rate, profit factor, expectancy, drawdown, and the one fix that matters most — delivered as a beautiful interactive HTML report.
Prepare CSV, TSV, Excel and JSONL files before sharing with AI, clients or vendors. Preview candidate matches, redact, use consistent pseudonyms or remove fields, then export separate copies with an audit report. Local processing; no API required. English edition.
Find hidden P&L, cost, and record inconsistencies before you trust your backtest. Get clear findings, evidence, and repair candidates you can verify.
Know if your backtest is a real edge or overfit noise. Runs bar-permutation MCPT, Deflated Sharpe, PBO/CSCV, Hansen SPA, Romano-Wolf StepM, a stationary bootstrap and an out-of-sample split on your own returns — no market feed, no API keys.