Slatemark.

Market research. In your AI.

Ask about a stock. See the facts behind the answer.

Connect a supported AI client. Slatemark supplies prices, calculations, filings, and economic data with sources and available times. Your AI writes the reply. Private notes and rules are optional.

Built first for swing traders: people who hold individual stocks for days or weeks.

Brokerage access is read-only. Slatemark cannot place orders or move funds. Journal and rule edits stay in Slatemark. Not investment advice. Slatemark is not a registered investment adviser. Default rules are not personal recommendations.

One question, sourced results

Start on Free. No journal, brokerage connection, or paid plan needed.

AAPL Quote Daily move

You ask
What is AAPL's latest price, and how much does it usually move each day?
Slatemark supplies
Latest available quote and its timestamp. Daily calculations come from price history.
Your AI explains
The result in your connected client, with sources and available times.

Illustrative flow. No market value or user data is shown.

Connection and plan details

Slatemark connects through Model Context Protocol (MCP), the open standard supported AI clients use to call data tools. Your external AI client creates the reply.

Free includes one active AI-client connection to market data, technical calculations, primary-source research, the optional journal, and framework rules. Strategy Scorecard is free on every plan. Plus adds read-only brokerage Account Data, imports your available past booked activity into the trade journal, and picks up newly available booked activity periodically.

See where each result came from Free core

Quotes and calculations keep their own source and available time. Your AI client can use that evidence in its reply.

Copy the detailed AAPL question

RSI (Relative Strength Index) compares recent gains and losses. ATR (Average True Range) shows a stock's typical daily price range.

Show AAPL's latest available quote and latest non-null daily RSI(14) and ATR(14). Keep quote and indicator timestamps separate, and include each tool's source plus available as_of, fetched_at, and data_quality fields.

Quote

A stock price with its source and available time.

Daily calculation

Daily move comes from price history, separate from the quote.

Illustrative response shape. No market value or user data is shown.

Illustrative AAPL source map Free

Ask for AAPL's latest available quote and daily RSI(14) and ATR(14). This shows how to read a result, not an observed price or an AI-client answer.

Quote: get_quote reports its Yahoo-backed source, retrieval time, and available freshness fields. Its as_of may equal fetched_at; that is not an exchange trade timestamp.

Daily calculation: run_technical_analysis uses one raw, unadjusted price-history fetch. Its source identifies that history; as_of names the last retained candle when available. The input_sample_count, input_first_datetime, and input_last_datetime fields describe the full fetched input before any indicator tail, not the separate quote. RSI is unitless; ATR follows the input price unit, whose currency is not supplied by this tool.

Reading dates and freshness: a price-bar date marks its observation, fetched_at marks retrieval, and neither establishes publication time. delayed and data_quality describe available freshness, not an exact exchange delay. Missing history or a failed source is left missing.

Keep the context you want to revisit. Free core

Save the reason behind a trade and compare it with what happened. Your notes and rules stay private.

Trade journal

Add entries by hand or through your AI. At your direction, journal tools can create, update, tag, or delete user-authored records, but only inside Slatemark. Plus can import available booked activity; you still add the reason and notes.

Framework rules

Start with editable rules, then make them yours. Journal entries preserve the version you used.

Strategy Scorecard

Review past closed trades by date or tag: win rate, dollar expectancy, total P&L, and holding period. Figures appear after five scored trades. Free on every plan.

The Strategy Scorecard describes your own past trades. It is not a recommendation, a signal, or a performance claim, and past performance doesn't guarantee future results.

Ready-made questions Free core

Start with a Free stock question, then see more example questions for other research tasks. Some require Plus.

Go beyond one stock Free core

Ask about price history, SEC filings, or public economic data. Free starts with one symbol at a time. Compare plans for broader analysis.

Bring your own AI client

Free supports one active connection to a supported AI client. Plus supports additional connections.

Research coverage

Plus adds option chains, multi-symbol and portfolio analysis, and optional FINRA API-key access. Brokerage Account Data stays separate.

See coverage and limits

Prices and analysis. Single-symbol quotes include their source and available time information. Intraday history and extended hours are available where listed. Option-chain snapshots start on Plus where listed; midpoint marks are indicative, not executable, and carry no Greeks. Slatemark has no order entry.

Public-source research. Free includes single-symbol technical indicators, primary-source EDGAR filings and company facts, FRED release data, the published FOMC calendar, Treasury auctions, CFTC positioning, and EIA energy data. Plus adds multi-symbol data fetches, portfolio risk, factor, and scenario analysis, combined release schedules, and optional FINRA API-key access.

Illustrative three-symbol basket Plus

Ask how daily log returns for AAPL, MSFT, and TLT moved together over a one-year lookback. The supported call is analyze_correlation with symbols=["AAPL","MSFT","TLT"], period_type="year", period=1, frequency_type="daily", and frequency=1. No prices or correlations are fetched for this illustration.

The tool aligns price bars on shared timestamps before calculating a Pearson correlation matrix of log returns. first_datetime and last_datetime bound those shared price bars; n_bars counts the aligned return observations, one fewer than the shared bars. Correlation coefficients are unitless and describe that historical window, not a forecast.

The envelope's source, backend, as_of, delayed, and data_quality reflect only the final successful symbol fetch. They do not establish separate provenance or freshness for every symbol, or the freshness of the aligned window. If too few bars overlap, the tool returns an error instead of a matrix.

Keep the record in view

Catalyst calendar Plus

Put market dates and available watchlist or linked-holding events in your calendar. Choose reminder lead times, including none.

Read-only at your brokerage Plus

Let your AI read authorized accounts, balances, positions, orders, and activity. Brokerage connections provide Account Data, not market data.

Account context, without order access

Slatemark cannot place, modify, or cancel orders or move funds. Plus imports available past booked activity, then picks up newly available activity periodically. You add the reason and notes.

Disconnect and delete

Disconnecting removes the connection and its broker-derived data. Manual and CSV-imported journal entries remain.

Wondering whether an AI trading claim is credible? Read the red-flag and due-diligence guide.

Availability: Weekly Slate is not yet available.

Bring market research into your AI.

Start on Free with market research in one supported AI client. Add Plus only if you want read-only brokerage context.