Market Pulse. Read the Signals.
Build Strategies.
Three research lenses in one platform — fundamental analysis, news & sentiment signals, and rules-based strategy backtesting. No live trading, no AI recommendations. Just data-driven research tools.
Three Research Lenses
Each lens answers a different question before you invest
Market Pulse & Stock Analysis
Track sector capital flow using Chaikin Money Flow, monitor index performance, and drill into any stock for a 3-question evaluation: Health, Valuation, and Trend.
- Sector capital flow (CMF)
- Health · Valuation · Trend scores
- Business model + market position
News & Sentiment
AI-powered news catalyst analysis with 7 pre-built research toolkits. Identify stocks with meaningful catalysts, rising attention, or headline risks before they move.
- Catalyst type & materiality
- 9-score signal framework
- 7 pre-built toolkits
Strategy Builder
Describe a trading idea in plain language. The AI parser converts it to a validated backtest, then an independent reviewer pushes back on overfit risk.
- Natural language → strategy JSON
- Deterministic backtester
- AI explainer + sandbox review
Market Snapshot
Click any asset for full analysis · End-of-day prices
Asset Explorer
Search any stock, ETF, or commodity to view price history and build strategies
Describe Your Strategy, We Handle the Rest
Write a trading idea in plain language. The AI parser converts it to structured strategy JSON, runs a deterministic backtest, and delivers an AI-powered analysis.
What You Can Build
Livermore supports price-based strategies. Here's exactly what's available — so you know before you type.
Supported Strategy Types
Hold when price is above its N-day moving average; exit when it falls below.
Buy when a fast MA crosses above a slow MA (golden cross); sell on death cross.
Rank assets by N-month return and hold the top N — rebalance monthly.
Buy oversold conditions (low RSI); sell into overbought strength (high RSI).
Enter on an N-day high breakout; exit on N-day low or stop loss.
Hold a fixed-weight portfolio, rebalanced on a schedule.
Available Asset Universe
- Any NYSE / NASDAQ ticker (e.g. AAPL, MSFT, NVDA)
- Sector ETFs: XLK, XLE, XLF, XLV, …
- Index ETFs: SPY (S&P 500), QQQ (Nasdaq 100), IWM (Russell 2000), DIA (Dow Jones)
- GLD (Gold)
- SLV (Silver)
- USO (Crude Oil)
- UNG (Natural Gas)
- DBA (Agriculture)
- DBC (Broad Commodities)
- CPER (Copper)
- TLT (20Y Treasury)
- IEF (7-10Y Treasury)
- SHY (1-3Y Treasury)
- Shanghai stocks: use .SHH suffix (e.g. 600519.SHH)
- Shenzhen stocks: use .SHZ suffix
- CSI 300 ETF: 510300.SHH (default benchmark)
Not Yet Supported
- Cross-asset signals — using asset A's price to trade asset B (e.g. buy gold when oil rises)
- Fundamental data — P/E ratio, earnings, revenue, book value
- Macro & sentiment — VIX, CPI, Fed rate, news sentiment, economic indicators
- Short selling, leverage, or options
- Intraday data — signals defined in minutes or hours
- Real-time streaming prices
How It Works
From discovery to stress-tested strategy — four steps
Screen & Discover
Track sector capital flow, monitor index performance, and evaluate any stock across Health, Valuation, and Trend — plus commodities with physical market signals.
Analyze the Fundamentals
Drill into any ticker for financial health scores — revenue growth, margins, cash flow, balance sheet strength, and valuation risk.
Read the News Signals
AI extracts catalyst type, sentiment trend, and signal quality from recent news. See what's driving attention and whether it's material.
Build & Stress-Test a Strategy
Describe a rules-based strategy in plain English. Run a deterministic backtest, then apply parameter sensitivity and sub-period stress tests.
Strategy Templates
Pre-built frameworks — click to run instantly
Cross-Sectional Momentum
Rank a universe by return, rotate into top performers
Use this template →Ready to start researching?
Screen for opportunities, analyze the fundamentals, read the news signals, then backtest a strategy.