Menü
Weekly stock recommendation digest using mixed signals - trending tickers, fundamentals, and price momentum. Scans for stocks under $20 and delivers recommendations via email.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
| name | stock-recommendations |
| description | Weekly stock recommendation digest using mixed signals - trending tickers, fundamentals, and price momentum. Scans for stocks under $20 and delivers recommendations via email. |
| version | 1.1.0 |
| author | Jason Crabtree |
| license | MIT |
| metadata | {"hermes":{"tags":["stocks","finance","investing","weekly-digest","cron"],"related_skills":[]}} |
Weekly stock scan using multiple data sources to identify investment opportunities under $20.
mkdir -p ~/.hermes/secrets && echo "YOUR_KEY" > ~/.hermes/secrets/finnhub_api_key| Source | Purpose | Limit |
|---|---|---|
| Yahoo Finance Trending | Momentum/trending tickers | None (be reasonable) |
| Yahoo Finance Chart | Price quotes, change % | None (be reasonable) |
| Finnhub | Fundamentals, metrics, profile | 60 calls/min free tier |
Note: Reddit r/wallstreetbets JSON scraping died in June 2026 (403 on all no-auth endpoints). Replaced with Yahoo Finance trending tickers as the momentum/sentiment signal.
The weekly scan runs as a no_agent=True script-only cron job — no LLM is involved. The script (~/.hermes/scripts/weekly_stock_scan.py) runs the full pipeline: scan → format → email via AgentMail.
0 16 * * 0 in UTC = 16:00 UTC = 12:00 ET)no_agent=True)For ad-hoc scans (user asks "scan for stocks now"):
python3 ~/.hermes/scripts/weekly_stock_scan.py
For modifying the scan logic: Edit ~/.hermes/scripts/weekly_stock_scan.py — this is the source of truth. The code below in this SKILL.md is reference documentation, not the running code.
Fetches https://query1.finance.yahoo.com/v1/finance/trending/us for the current list of trending US tickers. Filters out crypto (BTC-USD, XRP-USD), futures (NQ=F), forex, and indices (^KS11). These are the "momentum" candidates.
A maintained list of known small-cap stocks historically under $20. Updated June 2026 to remove delisted tickers (NAKD→CENN, MULN delisted, CTRM merged). This list needs periodic review — tickers move above $20 or get delisted.
For each candidate ticker:
sources=2), then sorted by market capdef get_yahoo_quote(symbol):
"""Get quote from Yahoo Finance chart API."""
url = f"https://query1.finance.yahoo.com/v8/finance/chart/{symbol}?interval=1d&range=5d"
resp = requests.get(url, headers=HEADERS, timeout=10)
meta = resp.json()['chart']['result'][0]['meta']
price = meta.get('regularMarketPrice', 0)
# CRITICAL: previousClose is None from this endpoint; use chartPreviousClose
prev = meta.get('chartPreviousClose') or meta.get('previousClose') or price
return {
'symbol': symbol,
'name': meta.get('shortName', symbol),
'price': price,
'change_pct': round(((price - prev) / prev * 100), 2) if prev and prev > 0 else 0
}
def get_finnhub_metrics(symbol):
"""Get fundamentals from Finnhub. marketCapitalization is in MILLIONS."""
url = f"https://finnhub.io/api/v1/stock/metric?symbol={symbol}&metric=all&token={FINNHUB_KEY}"
m = requests.get(url, timeout=10).json().get('metric', {})
profile = requests.get(
f"https://finnhub.io/api/v1/stock/profile2?symbol={symbol}&token={FINNHUB_KEY}",
timeout=10
).json()
return {
'market_cap': m.get('marketCapitalization', 0), # in MILLIONS
'pe_ratio': m.get('peBasicExclExtraTTM'),
'sector': profile.get('finnhubIndustry', 'Unknown'),
'name': profile.get('name', symbol),
'52w_high': m.get('52WeekHigh'),
'52w_low': m.get('52WeekLow'),
}
Yahoo previousClose returns None — the v8 chart endpoint does NOT populate previousClose. Use chartPreviousClose for change calculations. This was broken for months — every stock showed +0.00% change. Fixed June 2026.
Reddit JSON endpoints return 403 — as of June 2026, reddit.com/r/*/hot.json blocks all unauthenticated requests. The nanogpt_reddit_scraper tool or Reddit API with auth (PRAW) are alternatives if sentiment data is needed again. Currently replaced with Yahoo Finance trending tickers.
Finnhub marketCapitalization is in MILLIONS — compare with > 50 (meaning $50M), NOT > 50_000_000.
Finnhub quote c field often returns 0 for NASDAQ stocks — use Yahoo for price data.
Yahoo batch quotes (v7) requires auth (401) — use per-symbol chart endpoint (v8) instead.
Yahoo trending includes crypto/futures — filter out symbols containing =, -USD, or starting with ^.
Curated small-cap list goes stale — tickers get delisted, merge, or move above $20. Prune periodically. Removed in June 2026 update: AMC (near bankruptcy), NAKD (became CENN in 2023), MULN (delisted from Nasdaq 2024), CTRM (merged), SQ (now Block, trades above $20), MRNA (trades above $100).
Finnhub free tier has no price-target or sentiment data — don't rely on those endpoints.
Rate limiting on rapid scans — running scan() twice in quick succession will get rate-limited by Finnhub (60 calls/min) and Yahoo (undocumented but strict). Space out manual runs by at least 60 seconds.
SKILL.md code drifts from the running script — The cron job runs ~/.hermes/scripts/weekly_stock_scan.py as no_agent=True. The SKILL.md contains a reference copy of the key functions, but the script is the source of truth. When fixing bugs, edit the script first, then update the SKILL.md reference copy. The June 2026 review found the SKILL.md had a broken previousClose code example that the script also had — both needed fixing. Always check both files when modifying logic.
Silent failures in bare except blocks — The script uses bare except Exception: pass in several places. This means broken API fields (like previousClose returning None) fail silently and produce 0 or empty values rather than errors. When debugging "everything shows 0" issues, check each except block for swallowed errors.
Track an existing brokerage portfolio (not just scan for new picks). Uses the same Yahoo Finance v8 chart endpoint for live prices.
pdftotext for text-based broker statements (fast, no dependencies). For scanned/image PDFs, use pymupdf or marker per the ocr-and-documents skill.vision_analyze to extract holdings from brokerage app screenshots. PITFALL — see below.0 16 * * 1-5) delivers updates to Discord/Telegram.Mobile brokerage apps (Revolut, Robinhood, etc.) display position cards with a specific format:
[Large number] ← Total POSITION MARKET VALUE (shares × current price)
[quantity] TICKER · $[price] ← shares, ticker, CURRENT MARKET PRICE per share
[arrow] [+/-XX.XX]% ← Gain/loss from ACTUAL cost basis (NOT the price shown above)
The "detail" price is the current market price, NOT the cost basis. To recover the actual cost basis:
cost_price = current_price / (1 + gain_pct / 100)
cost_basis = shares * cost_price
This is critical — treating the displayed price as cost basis produces wildly wrong P&L numbers.
def fetch_price(ticker: str) -> float | None:
"""Single price from Yahoo Finance chart API."""
url = f"https://query1.finance.yahoo.com/v8/finance/chart/{ticker}?interval=1d&range=1d"
headers = {"User-Agent": "Mozilla/5.0"}
req = urllib.request.Request(url, headers=headers)
try:
with urllib.request.urlopen(req, timeout=10) as resp:
data = json.loads(resp.read())
return data["chart"]["result"][0]["meta"]["regularMarketPrice"]
except Exception:
return None
Run AI coding agents on disposable repo clones. The agent works on a clone — it can't touch your real repo. An optional container (Podman or Docker) provides build/test isolation. You review the diff and decide what (if anything) to apply.
Create Deezer playlists programmatically from any query — similar artists, genre mixes, festival lineups, mood-based collections. Four-tier data pipeline: Deezer public REST API + Last.fm scrobble data for discovery, GQL Pipe API for smart mixes and playlist creation, web search for subjective curation. Uses ARL cookie auth — no OAuth app required.
Generate compact AI-readable context maps from codebases — tools like codesight, repomix, agentic-context that pre-compute project structure to save tokens in AI coding sessions.
Research-focused query handling with multi-source synthesis, citations, and Obsidian persistence. Like a self-hosted Perplexity/Vane but CLI-native. Best for quick-to-medium lookups using Kagi. Use when the user asks factual questions, needs citations, or wants a direct answer — not a full research report (use deep-research) or social sentiment (use last30days). Triggers on: research, look into, what's the latest on, compare, explain, investigate.
Write articles, guides, blog posts, tutorials, newsletter issues, research reports, and deep research outputs in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, deep research on a topic, or a research report — especially when voice consistency, structure, and credibility matter. Triggers on: 'write an article', 'research report', 'deep research', 'long-form', 'blog post', 'guide', 'newsletter', 'white paper', 'research paper'.
Systematic research methodology for major consumer durables (appliances, HVAC, power tools, outdoor equipment) and smart garden/outdoor devices (bird feeder cameras, bird baths, smart outdoor gadgets). Emphasis on real reliability data, failure mode analysis, and head-to-head comparison. Use when the user asks to research, review, compare, or evaluate major purchases where longevity and repair risk matter, or when researching smart bird feeders, bird bath cameras, and similar connected outdoor devices. Triggers on: washer/dryer, refrigerator, dishwasher, HVAC, furnace, AC, generator, power tool, appliance reviews, appliance reliability, which [appliance] to buy, compare models, bird feeder camera, bird bath camera, smart garden devices.