bounce_scanner
Screen one or more US tickers for a mean-reversion 'bounce' setup on daily bars: price near support (recent pivot low) or the moving average, RSI oversold and turning up, a bullish latest candle, and volume at/above its recent average. Returns per-symbol {isBounce, score 0-100, reasons, price, rs...
This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/bounce-scanner.md
What bounce_scanner does on Livedatalink
AI agents call bounce_scanner 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 | — | A single ticker (e.g. 'AAPL'). Use this or `symbols`. |
symbols | array | — | Multiple tickers to scan (max 15). |
ma_period | number | — | Simple moving-average period used as a dynamic support reference (default 50). |
lookback_days | number | — | Trailing daily bars to analyze (default 180). |
proximity_pct | number | — | How close (percent) price must be to support/MA to count as 'near' (default 3). |
rsi_threshold | number | — | RSI(14) must be at or below this to qualify as oversold (default 35). |
Parameters from the server's own tool schema.
Why bounce_scanner is rated Low
Even though bounce_scanner 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 bounce_scanner 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 bounce_scanner, this is the rule to start with:
bounce_scanner 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 bounce_scanner call is checked against it from then on.
Questions about bounce_scanner
Screen one or more US tickers for a mean-reversion 'bounce' setup on daily bars: price near support (recent pivot low) or the moving average, RSI oversold and turning up, a bullish latest candle, and volume at/above its recent average. Returns per-symbol {isBounce, score 0-100, reasons, price, rsi, distanceToSupportPct, supportLevel}. ALL thresholds are tunable inputs (rsi_threshold, ma_period, proximity_pct, lookback_days) so calibration is a parameter change. HEURISTIC signal 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.
bounce_scanner accepts 6 parameters: symbol, symbols, ma_period, lookback_days, proximity_pct, rsi_threshold. 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 bounce_scanner: 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.
bounce_scanner 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 bounce_scanner 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 bounce_scanner. 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.
bounce_scanner 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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