Data

AlphaEar Logic Visualizer creates Draw.io XML diagrams that explain complex finance transmission chains or finance logic flows, and renders them into viewable HTML files for users.

AlphaEar News fetches hot finance news and unified trend reports from multiple sources (Weibo, Zhihu, WallstreetCN) and retrieves Polymarket prediction market data.

AlphaEar Predictor forecasts financial market time-series using the Kronos model and adjusts predictions based on news sentiment. Use it when you need market trend forecasting or news-aware market adjustments.

AlphaEar Sentiment analyzes financial text and news to determine sentiment polarity and score using local FinBERT or an LLM prompt. Use it when you need positive, negative, or neutral labels with scores for market-related content.

AlphaEar Signal Tracker tracks the evolution of finance investment signals by assessing new market information to determine if a signal is strengthened, weakened, falsified, or unchanged. Use it when monitoring finance signals and updating their logic based on new market data.

AlphaEar Stock searches A-share, HK, and US stock tickers and retrieves historical price data (OHLCV) and fundamentals. Use when a user asks about financial stock codes, recent price changes, or specific company stock info.

Session Insights computes session analytics, learning patterns, correction trends, heatmaps, and productivity metrics from project memory and session history. Use it when asking for stats, progress, coding history, or a dashboard.

Experimental Design plans experiments and studies before data collection, choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable. Use it when assigning subjects to groups, screening factors, or setting up factorial or response-surface designs.

Exploratory Data Analysis performs comprehensive exploratory data analysis on scientific data files in over 200 formats, detecting file type, assessing quality, and generating markdown reports. Use it to understand structure, content, and quality before downstream analysis.

Hypothesis Generation formulates testable hypotheses from observations and data, proposes mechanisms, and designs experiments to test them. Use it for scientific inquiry, literature synthesis, and experimental planning across domains.

Paper Lookup searches 10 academic literature APIs—PubMed, PMC, bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, and Unpaywall—and returns reproducible results with provenance. Use it to find papers, citations, DOIs, abstracts, full text, open-access PDFs, preprints, or author publications.

Scientific Visualization creates publication-ready scientific figures with multi-panel layouts, error bars, significance annotations, and colorblind-safe palettes. Use it when preparing journal submissions with specific formatting requirements for Nature, Science, or Cell.