Pattern Vista

Pattern Vista CLI

Command-line access to Pattern Vista — K-line pattern historical win-rates and MA200 deviation rankings — built to be called by AI agents as easily as by humans.

Output is JSON by default (so an agent can parse it directly); add --table for a human-readable view.

Install

pip install pattern-vista     # or: uvx pattern-vista whoami

Authenticate

Generate a key at https://www.pattern-vista.com (Account → API keys), then:

pv config set-key pv_live_xxxxxxxx# or, for ephemeral/agent use:export PATTERN_VISTA_API_KEY=pv_live_xxxxxxxx

Resolution order: --api-key flag → PATTERN_VISTA_API_KEY → stored config.

Commands

pv whoami                       # validate key, show account + tierpv deviation --over --limit 20  # stocks furthest ABOVE their 200-day averagepv deviation --under            # stocks furthest BELOW (mean-reversion longs)pv patterns --limit 20          # latest recommended patterns + 20-day win-ratepv ticker AAPL                  # one symbol: current deviation + recent patternspv stretch --days 120           # market breadth: % of the universe above its MA200
# add --table to any command for human output:pv deviation --under --table

Example (agent-friendly JSON)

$ pv deviation --under --limit 3{  "is_billed": true,  "rows": [    {"ticker": "XYZ", "snapshot_date": "2026-05-27", "close": 41.2, "ma200": 58.9, "deviation": -0.3005},    ...  ]}

Free vs. paid

A free account sees the top 2 rows of each list and patterns without the historical win-rate. A paid subscription unlocks the full lists (up to 100) and hist_win_w20. The tier is enforced server-side from the key — see is_billed in every response.

For agents / programmatic use

from pattern_vista import PatternVistaClient
pv = PatternVistaClient(api_key="pv_live_xxxx")under = pv.deviation("under", limit=20)   # dict: {"is_billed": ..., "rows": [...]}aapl = pv.ticker("AAPL")

The PatternVistaClient core has no CLI dependency — it is what backs the MCP server below, so the two can never return different things.

Use as an MCP server

The same data as tools your agent can call directly. No install needed if you have uv:

{  "mcpServers": {    "pattern-vista": {      "command": "uvx",      "args": ["--from", "pattern-vista[mcp]", "pattern-vista-mcp"],      "env": { "PATTERN_VISTA_API_KEY": "pv_live_xxxxxxxx" }    }  }}

Drop that into your MCP client's config (Claude Desktop, Claude Code, Cursor, or anything else that speaks MCP over stdio). If you would rather install it:

pip install 'pattern-vista[mcp]'   # then use "command": "pattern-vista-mcp"

Or run it in a container. -i is required — the transport is stdio, so without an attached stdin the server has nothing to read and exits straight away:

docker build -t pattern-vista-mcp .docker run -i --rm -e PATTERN_VISTA_API_KEY=pv_live_xxxxxxxx pattern-vista-mcp

Tools

Auth resolves exactly as the CLI's does: PATTERN_VISTA_API_KEY, else the key saved by pv config set-key. Tiering stays server-side — a free key gets 2 rows and a null hist_win_w20, so check is_billed in the response before treating a short list as a quiet market.

Works with both generations of the MCP Python SDK (mcp 1.x's FastMCP and 2.x's MCPServer).

Data notes

• Deviation = (close − MA200) / MA200, refreshed nightly over an S&P 500 + Nasdaq 100 + major-ETF universe. Split-distorted and implausible values are filtered out before ranking.
• Market breadth (pv stretch, market_stretch) is the share of that same universe closing above its own MA200, one reading per trading day, with the history behind it. Free for every tier — it is the same number the public page at https://www.pattern-vista.com/market/stretch publishes.
• Win-rate (hist_win_w20) is the share of settled past signals of the same pattern type, direction and shape that beat SPY over the following 20 trading days — the same per-signal record listed at https://www.pattern-vista.com/track-record. Null when fewer than 10 have settled.
• Past performance does not guarantee future results. Not investment advice.

License

MIT