Builds a polished Excel financial model for any company. Give it a public company ticker (data pulled automatically from Yahoo Finance and SEC EDGAR) or a private company spreadsheet, and it outputs a fully formatted .xlsx with a 3-statement model (Income Statement, Balance Sheet, Cash Flow) plus DCF valuation — 5 years historical, 5 years projected, WACC build-up, and a sensitivity table.
Turn local research hypotheses into traceable evidence. Validate daily CSVs, compare predeclared moving-average strategies with chronological holdouts, stress transaction costs, and independently audit results. Includes a Python standard-library lab, visual HTML reports and optional local Vibe-Trading helpers. Analysis and offline simulation only; no access to real user accounts.
Screens your watchlist for VCP/CANSLIM breakout setups, then backtests each candidate before presenting it — a graded shortlist, not a raw stock tip.
Paste financial statement data and get a professional-grade diagnostic in minutes: Seeking-Alpha-style factor grades (A+ to F, sector-relative), a thesis-led variant view, earnings quality with accruals screening and a YoY profit bridge, 5-step DuPont ROE, cash conversion cycle, valuation multiples vs sector with a what's-priced-in check, graded risks, catalysts, analyst questions — plus a print-ready infographic one-page HTML report. Analysis only, never investment advice.
Professional multi-timeframe stock analysis with conviction scoring, market regime context, risk assessment, and buy/sell/hold signal. Just type a ticker — no setup needed.
A historical backtesting and validation-research protocol for algorithmic trading strategies: it treats your entry/exit/TP-SL/capital/leverage as fixed test inputs, stress-tests them with real costs and anti-overfit gates (plateau rule, walk-forward, random control, per-year robustness), and reports a research verdict (VALIDATION GATES PASSED / FAILED / INSUFFICIENT EVIDENCE). Analysis only: never deployment, sizing, leverage, or allocation advice.
Academic sanity-check with interactive HTML dashboard. Detects look-ahead bias, over-parameterization, and benchmarks against 10 canonical blueprints via animated SVG gauges and color-coded KPI cards. Parses natural language, code, or CSV uploads. Output auto-adapts (EN/ZH-TW/ZH-CN). Built on De Prado (2018). For students and strategy developers. Not financial advice.
Multi-factor market analysis where every number is computed from real data — never estimated. Deep dives, a daily radar, comparisons and risk statistics across Asia (Tokyo, Singapore, Hong Kong, Seoul, Taipei, Shanghai, India), the US, Europe and the Gulf, plus commodities, metals and forex. Explainable 0-100 score with visible sub-scores, evidence-alignment scores per horizon, candlestick and comparison charts, and a self-contained HTML report you can keep offline. Answers in 12 languages.
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.