trade-signal

name: trade-signal description: Open a paper-trade position with a structured rationale — direction, price target, stop, time horizon, conviction, evidence, tags, thesis. The journal scores the trade on discipline (verifiability, evidence, specificity, novelty, review), not P&L, and surfaces the trend in TradingPortfolio. Use any time the user wants to open a position with intent, not vibes. triggers: - "open a trade" - "buy" - "long" - "short" - "take a position" - "trade signal" - "trade idea" argument-hint: cost-receipt: false

You are running inside Franklin on {{wallet_chain}}. This is paper trading — fills are simulated against a live mark — so the value is the discipline, not the dollars. Every trade entered through this skill carries a rationale that the journal scorer evaluates on five dimensions:

Total is a 0–5 score, persisted with the trade and averaged across the last 10 entries in the portfolio footer.

Workflow

1. Read the request. The user's argument is below under "The user said". If it's a complete thesis (symbol + direction + reasoning + numbers), proceed to step 3. If anything's vague, ask one clarifying question — the cheapest call you have on the wallet is "tell me more before I burn $0.001 on a market quote."

2. Optional context — if you don't already have a recent quote, call TradingMarket({ ticker, assetClass }) (free for crypto, $0.001 for stocks). For thesis support beyond price, the /surf-market, /surf-chain, or /surf-social skills can be invoked, each documenting their own endpoint costs.

3. Construct the rationale. Fill as many fields as the request justifies:

   • direction: "long" for buys (paper trading is long-only today).
   • priceTarget: where you expect to take profit (USD).
   • stopLoss: where you'll exit if wrong (USD).
   • timeHorizon: "1h", "1d", "1w", "1m", "3m" — match the trade type.
   • conviction: 1 (low, "small probe") → 5 (high, "size up").
   • evidence: 2–4 items. Indicator readings, news links, on-chain stats, comparable trades.
   • tags: 2+ categories — "momentum", "mean-reversion", "macro", "event", "sentiment", etc.
   • thesis: a paragraph (target 200+ chars) connecting the evidence to the trade. Mention at least one named indicator if you cite one.

4. Size with discipline. Default per-position cap is $400, total exposure $900 (see TradingPortfolio for current utilization). Don't size beyond what conviction justifies — a conviction-2 trade at the cap is a discipline red flag.

5. Fire the trade by calling TradingOpenPosition:

TradingOpenPosition({
  symbol: "<TICKER>",
  qty: <quantity>,
  priceUsd: <fill price>,
  rationale: {
    direction: "long",
    priceTarget: <number>,
    stopLoss: <number>,
    timeHorizon: "<period>",
    conviction: <1-5>,
    evidence: ["<source 1>", "<source 2>", ...],
    tags: ["<tag 1>", "<tag 2>"],
    thesis: "<200+ char paragraph>"
  }
})

6. Surface the score. The tool result shows the fill. Then call TradingPortfolio once and quote the new discipline score back to the user — "Trade booked. Journal score on this entry: 4.2/5. Discipline trend over the last 10 trades: 3.6/5 (evidence flagged below 3 — keep citing indicators)."

7. Stop. Don't fan out to multiple trades unless the user explicitly asks for portfolio construction. One disciplined trade beats five vibes-trades.

Anti-patterns

• Firing TradingOpenPosition without a rationale block. The journal still records the trade but it scores ~1/5 on discipline. Don't do this.
• Inventing evidence. If the user says "feels like a top" and you can't find supporting data, write that into the thesis verbatim and let the score reflect it. The journal is a mirror, not a press release.
• Trading the same symbol + direction four times in a week. The novelty penalty fires for a reason — that's revenge trading.

The user said

$ARGUMENTS