discover

name

discover

description

Find investment opportunities. Combines AI Arena trades (what Bloom's AI models are doing with real money), today's movers, screener picks, and curated collections into one actionable summary. Triggers: "find me something to buy", "what should I invest in", "what's looking good", "any good opportunities", "what are the AIs buying", "what's trending", "show me ideas", "discover stocks", "what's worth looking at", "give me investment ideas"

discover — Find Opportunities

Every number comes from Bloom's financial data. Not a language model's training data.

Trigger: /discover — when a user wants investment ideas or to see what's moving.

No input required. Just run it.

---

Read bloom-data Skill First

Before running anything, check that bloom is installed and authenticated. See the bloom-data skill for prerequisites and output rules.

mkdir -p /tmp/bloom

---

Steps (Run in Order)

1. AI Arena trades

bloom ai-trades --limit 10 -o /tmp/bloom/discover-ai-trades.json

2. AI Arena current portfolios

bloom ai-portfolio -o /tmp/bloom/discover-ai-portfolio.json

3. Today's biggest movers

bloom market --type top_movers --limit 10 -o /tmp/bloom/discover-movers.json

4. Value collection

bloom collections --section VALUE -o /tmp/bloom/discover-value.json

5. Growth collection

bloom collections --section GROWTH -o /tmp/bloom/discover-growth.json

6. Screener — value + growth filter

bloom screen "market_cap > 10B" "pe_ratio < 20" "revenue_growth > 10" -o /tmp/bloom/discover-screen.json

7. Market sentiment

bloom sentiment -o /tmp/bloom/discover-sentiment.json

8. Extract key fields

# AI trades
cat /tmp/bloom/discover-ai-trades.json | jq '.trades[:5] | .[] | {model, ticker, direction, return_pct}'

# AI portfolios (who's winning)
cat /tmp/bloom/discover-ai-portfolio.json | jq '.portfolios | to_entries[] | {model: .key, total_return: .value.total_return, top_holding: .value.holdings[0]}'

# Top movers
cat /tmp/bloom/discover-movers.json | jq '.[:5][] | {ticker, change_pct, price, reason}'

# Screener picks
cat /tmp/bloom/discover-screen.json | jq '.[:5][] | {ticker, pe_ratio, revenue_growth, market_cap}'

# Curated collections
cat /tmp/bloom/discover-value.json | jq '.[:3]'
cat /tmp/bloom/discover-growth.json | jq '.[:3]'

# Sentiment
cat /tmp/bloom/discover-sentiment.json | jq '{fear_greed_index, fear_greed_label, aaii_bull, aaii_bear, vix}'

---

Sentiment Context

Use this to frame the "Market Mood" section:

Fear & Greed	AAII Bull%	What It Means
0-25 (Extreme Fear)	<30%	Market is panicking — historically good time to buy quality names
25-45 (Fear)	30-40%	Cautious market — look for beaten-down quality
45-55 (Neutral)	~40%	Normal conditions — look for value
55-75 (Greed)	>50%	Market is optimistic — be selective
75-100 (Extreme Greed)	>60%	Euphoria — proceed carefully, valuations stretched

---

Output Format

## What's Worth Looking At

### 🤖 AI Arena — What Bloom's AIs Are Doing With Real Money
*These are real portfolios with real money. Use the model names returned by `bloom ai-portfolio`; do not hardcode a fixed model list.*

| Model | Position | Direction | Ticker | Return |
|-------|----------|-----------|--------|--------|
| [Model from data] | [Last trade] | 🟢 Long / 🔴 Exit | [TICKER] | [+X%] |
| [One row per returned model] | [Last trade] | 🟢 Long / 🔴 Exit | [TICKER] | [+X%] |

**Who's winning:** [Model] is up [X]% overall.
**What they agree on:** [If 2+ models hold the same stock, call it out]

---

### 📈 Today's Big Movers
| Ticker | Change | Why |
|--------|--------|-----|
| [TICKER] | +X% | [One-line reason if available] |
| [TICKER] | -X% | [One-line reason if available] |
*[Top 5 movers, both up and down]*

---

### 🔍 Screener Picks
*Stocks with market cap >$10B, P/E under 20, and revenue growing >10%. The "boring but solid" list.*

| Ticker | P/E | Revenue Growth | Market Cap |
|--------|-----|----------------|------------|
| [TICKER] | [X] | [+X%] | [$XB] |
*[Up to 5 results. If none pass the filter, say so and relax one criterion.]*

---

### 🎯 Curated Collections
**Value picks:** [Top 2-3 from bloom collections VALUE]
**Growth picks:** [Top 2-3 from bloom collections GROWTH]

---

### 🌡️ Market Mood
**Fear & Greed:** [X] ([Label — e.g. "Fear"])
**Investors:** [X]% bullish / [X]% bearish (AAII survey)
**VIX:** [X]

[One sentence: what does this mean for the ideas above?
Example: "Market is in Fear territory — historically a decent time to add to quality positions."]

---
*Data from Bloom CLI. Source commands: bloom ai-trades, bloom ai-portfolio, bloom market, bloom collections, bloom screen, bloom sentiment.*

---

Notes

• The AI Arena is the most unique section — lead with it. Real AI models, real money, real returns.
• If a stock appears in both AI Arena trades AND the screener, call that out explicitly as a double signal.
• Don't invent reasons for movers. If bloom market doesn't return a reason, just show the price change.
• The screener is intentionally conservative (large cap, cheap, growing). Mention this so users understand what they're looking at.

---

Related Skills

• bloom-data — Prerequisites and CLI reference (read this first)
• research — Deep dive on any name that catches your eye here
• check — Before acting on any idea, run /check on the trade thesis
• briefing — For broader market context on what's driving today's movers