candlestick_signals
Detect classic candlestick patterns on a ticker's recent daily bars: hammer, inverted hammer, bullish/bearish engulfing, doji, morning/evening star, and shooting star. Returns each detected pattern with {pattern, date, direction (bullish/bearish/neutral), barIndex}. HEURISTIC pattern detection wi...
This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/candlestick-signals.md
What candlestick_signals does on Livedatalink
AI agents call candlestick_signals to retrieve information from Livedatalink without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
symbol | string | Yes | US ticker (e.g. 'MSFT'). |
lookback_days | number | — | Trailing daily bars to scan for patterns (default 60). |
Parameters from the server's own tool schema.
Why candlestick_signals is rated Low
Even though candlestick_signals only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs candlestick_signals safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Livedatalink, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For candlestick_signals, this is the rule to start with:
candlestick_signals is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Livedatalink, apply this rule, and every candlestick_signals call is checked against it from then on.
Questions about candlestick_signals
Detect classic candlestick patterns on a ticker's recent daily bars: hammer, inverted hammer, bullish/bearish engulfing, doji, morning/evening star, and shooting star. Returns each detected pattern with {pattern, date, direction (bullish/bearish/neutral), barIndex}. HEURISTIC pattern detection with conservative default thresholds; for research, not investment advice. It is categorised as a Read tool in the Livedatalink MCP Server, which means it retrieves data without modifying state.
candlestick_signals accepts 2 parameters: symbol, lookback_days. Required: symbol. The full parameter table on this page comes from the server's own tool schema.
Register the Livedatalink MCP server in PolicyLayer and add a rule for candlestick_signals: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Livedatalink. Nothing to install.
candlestick_signals is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the candlestick_signals rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for candlestick_signals. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
candlestick_signals is provided by the Livedatalink MCP server (https://livedatalink.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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