Mobius connects to multiple financial data providers on your behalf. You do not configure these yourself — all API access is handled at the platform level and is included in your subscription. This page covers every data source, what it provides, and example use cases.Documentation Index
Fetch the complete documentation index at: https://docs.joinmobius.com/llms.txt
Use this file to discover all available pages before exploring further.
Price and OHLCV data
Alpaca Markets — US equities and ETFs
Historical and real-time OHLCV bars for US equities and ETFs. This is the foundation of every equity backtest and paper trading deployment. Data is available for the full price history of most NYSE, NASDAQ, and AMEX listed securities. Bar frequencies available: 1 min, 5 min, 15 min, 30 min, 1 hour, daily, weeklyAlpaca Markets — Cryptocurrency
Real-time and historical OHLCV data for major crypto pairs (BTC/USD, ETH/USD, SOL/USD, and others). Used for crypto backtests and intraday chart visualizations.Yahoo Finance — Crypto daily history
Long-history daily OHLCV for crypto assets. Used as a supplement when Alpaca crypto history is insufficient for a backtest’s date range.Macro and economic data
Federal Reserve Economic Data (FRED)
Hundreds of US macroeconomic time series from the St. Louis Federal Reserve. Available for use as indicators in strategies and as data sources in the Chart Studio. Key series available:- Fed Funds Rate
- Consumer Price Index (CPI)
- US Unemployment Rate
- 10Y–2Y Treasury Yield Spread
- 10-Year and 2-Year Treasury Yields
- M2 Money Supply
- PCE Price Index (Fed’s preferred inflation measure)
- US GDP Growth Rate
- ISM Manufacturing PMI
- Housing Starts, Retail Sales, and more
Alternative data
Quiver Quantitative — Reddit / WallStreetBets sentiment
Daily mention counts and sentiment scores from r/wallstreetbets for US equities. Available from 2020 onwards. Example: “Buy when WSB mentions exceed 100 per day and sentiment is positive.”Quiver Quantitative — Congressional trading
Buy and sell transactions reported by members of the US Congress (House and Senate) under mandatory public disclosure rules. Example: “Buy when a senator has purchased shares in the last 30 days.”Polygon.io — News sentiment
Aggregated news article sentiment scores for US equities, sourced from financial news publishers. Covers the last two years. Example: “Avoid buying when news sentiment score is below 0.”Fundamental data
Financial Modeling Prep (FMP)
Quarterly fundamental metrics for publicly traded US equities: P/E ratio, earnings growth, revenue growth, debt-to-equity, profit margin, free cash flow, and more. Also powers the stock screener. Available for most NYSE and NASDAQ listed stocks. Not available for ETFs, indexes, or crypto. Example: “Buy when P/E ratio drops below 15 and earnings growth is positive.”SEC filing data
SEC EDGAR
Annual (10-K) and quarterly (10-Q) filing data for all publicly traded US companies. Used in the Chart Studio for fundamental visualizations and multi-company comparisons. Available metrics: revenue, net income, EPS, gross margin, operating income, total assets, total debt, free cash flow, capex. Example: “Compare Apple, Google, and Microsoft revenue from their annual 10-K filings.”Data availability and limitations
| Data type | Provider | Available from |
|---|---|---|
| US equity OHLCV | Alpaca Markets | Full history |
| Crypto OHLCV (intraday) | Alpaca Markets | 2019 onwards |
| Crypto OHLCV (daily) | Yahoo Finance | 2015 onwards |
| Macro series | FRED | Varies by series; most go back 20–50+ years |
| WSB sentiment | Quiver Quantitative | 2020 onwards |
| Congressional trades | Quiver Quantitative | Varies by disclosure date |
| News sentiment | Polygon.io | Last 2 years |
| Fundamentals | Financial Modeling Prep | Varies by metric; most go back 10+ years |
| SEC filings | SEC EDGAR | Full 10-K/10-Q history |