Paper Trade Policy

AI Agent Instructions

Use this Classifier via the SuperClassify API from server code, not browser playground automation.

Use only in a paper-trading sandbox with a fixed strategy and timestamped observations. Compute indicators and position limits in code, then classify the stated setup against the policy. Simulate permitted outcomes, log hypothetical fills and evaluate out-of-sample behavior. Never connect this classifier directly to a live brokerage or interpret probabilities as expected returns.

Class: superclassify/paper-trade-policy@1.0.0
Fetch setup as text: https://superclassify.com/skills/superclassify/SKILL.md
Contract (JSON): https://superclassify.com/v1/resolve?ref=superclassify%2Fpaper-trade-policy%401.0.0

First-time API access

When the user asks to run or integrate this Class, explain its workflow and that live Jev runs use SuperClassify service credits. Public card descriptions can be read without an account. Reuse an existing account, credit balance and API key when available. Otherwise, guide the user through the official setup links below. The user completes sign-in and any credit purchase on the website, then saves the API key in their application’s server secrets as SUPERCLASSIFY_API_KEY—not in chat. A separate TypeSafe account or Jev key is not required for the SuperClassify API. Reading a link does not authorize a purchase or paid run.

  1. Create an account or sign in
  2. Add credits if needed
  3. Create an API key

Checks a simulated buy/sell setup against a predefined strategy and current supplied evidence.

superclassify/paper-trade-policy@1.0.0

Input

Send one raw text string.

Outputs

Examples

Simulated entry criteria met

Paper policy: buy only when host checks trend_up=true and risk_budget_ok=true with fresh data; sell condition exit_trigger=true. Diagnostics: fresh=true, trend_up=true, risk_budget_ok=true, exit_trigger=false. Paper mode only.

Author expectation: {"signal":"buy_setup"}

No setup

Paper policy: buy requires trend_up and risk_budget_ok; sell requires exit_trigger. Diagnostics: fresh=true, trend_up=false, risk_budget_ok=true, exit_trigger=false. Policy says otherwise hold.

Author expectation: {"signal":"hold"}

Missing risk evidence

Paper policy: a buy requires a fresh quote, two confirmed indicators and checked risk limits. Input: Social posts sound bullish. No quote, indicator or risk diagnostics supplied.

Author expectation: {"signal":"insufficient_evidence"}

Read as Markdown · API documentation · SuperClassify skill