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trader-alerts

@jakeschincariol⭐ 20 stars

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// RATINGS

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// README

The Day Trader skill

11 Claude skills for day trading: scan thousands of charts, track breaking news, time every entry and exit, and replay every outcome before you risk a dollar.

Free, MIT, no signup, no API key. The tools are plain Python that read free public data: Yahoo Finance charts, Nasdaq Trader's symbol lists, SEC EDGAR and the House Clerk.

One scans thousands of charts for setups. Another tracks breaking news on every stock you watch. One watches a setup bar by bar and tells you the moment to get in, and another sets your stop and your target before you do. And the craziest one is the Time Machine: before you risk a dollar, it replays the rest of the session 10,000 times from the stock's own recent bars, plus every past day the same setup fired, and tells you the honest odds.

And no trade goes through until you say yes. Nothing in this pack can place an order on its own. Paper trading is the default.

Looking for the original Trader skill? Copy an investor's 13F, the stock screener, tax lots and rebalancing live in github.com/Jakeschincariol/trader-skill. This repo is its day-trading sequel: the Trader skill v2.

Install

Paste this into Claude:

https://github.com/Jakeschincariol/day-trader-skill

install skill

Or as a plugin, in Claude Code:

/plugin marketplace add Jakeschincariol/day-trader-skill
/plugin install day-trader-skill@day-trader-skill

Claude Code namespaces plugin skills, so installed as a plugin they show up as /day-trader-skill:trader-scanner and so on. Copy the folders instead if you want plain /trader-scanner:

git clone https://github.com/Jakeschincariol/day-trader-skill.git
cp -r day-trader-skill/trader-* ~/.claude/skills/

Project-local instead of global: copy the same folders into your repo's .claude/skills/. No Claude Code at all? Paste any single SKILL.md at the top of a chat and it runs as a mode. You lose the Python tools, but the method works.

The tools need Python 3.8 or newer. Nothing to pip install. The SEC tools (news filings, the analyst) ask you to identify yourself: put your name and email in trader/config.json ("sec_user_agent": "Your Name [email protected]") or in the SEC_USER_AGENT environment variable.

The eleven

commandjobwhat it does
/trader-scannerChart ScannerScans thousands of charts for setups: opening-range breakouts, flags, oversold bounces.
/trader-newsNews MonitorTracks breaking news on every stock you watch and flags what moves it.
/trader-entryEntry TimerWatches a setup bar by bar and tells you the moment to get in.
/trader-exitExit PlannerSets your stop and your target before you enter, so you know when to get out.
/trader-timemachineTime MachineReplays every possible outcome of a trade before you risk a dollar: 10,000 simulated sessions plus every past time the setup fired.
/trader-riskRisk ManagerChecks every trade against your limits and stops anything over them.
/trader-budgetBudget ManagerSizes every position to your budget and your max loss per trade.
/trader-brokerOrder ExecutorSends approved orders to your broker, paper trading by default, never without your yes.
/trader-alertsPrice AlertsRings when a price, a stop or the opening bell hits.
/trader-analystEarnings AnalystReads earnings reports and sums up what changed.
/trader-pelosiPelosi TrackerReads Congress's stock-trade disclosures the minute they are filed.

How to use it

Everything lands in a trader/ folder in your project, and each skill reads what the last one wrote:

scanner -> news -> entry -> exit -> timemachine -> budget -> risk -> broker   (one trade)
alerts: stop, target, flat by the close                                       (while it is open)
news / analyst / pelosi                                                        (on a schedule)

An example, the trade in the reel: Tesla, Monday October 19 2026, real data.

  1. /trader-scanner at 10:15 AM ET: of the 231 charts in the reel's scan, 42 had closed above their 15-minute opening range. TSLA is one: range 354.47 to 362.18, the 10:10 candle closed at 364.18, 0.55 % over the top.
  2. /trader-news: the morning's TSLA headlines, in New York time ("Tesla-SpaceX Merger Mania Strikes Wall Street Ahead of Earnings", 8:04, tagged earnings and deal). Tesla reports this week: a day trade is out before the close, so it is not exposed to the report.
  3. /trader-entry watched TSLA bar by bar. At 10:12 it said waiting (the 10:10 bar was still forming). At 10:15 it said triggered: the first 5-minute close above the range, 364.18.
  4. /trader-exit set the plan before the entry: stop at the range's midpoint, 358.32, so 5.86 a share at risk; target one times that risk, 370.04; flat by 3:55 PM either way.
  5. /trader-timemachine replayed the rest of the day 10,000 times, each 5-minute candle drawn from TSLA's own candles at that time of day over the previous 59 sessions (seed 19, so anyone can repeat it): target first 29.4 %, stop first 25.5 %, still open at the close 45.1 %. It also re-ran the same rule on those 59 real sessions: it fired 33 times, 13 hit the target, 15 the stop, 5 neither. Its verdict: close to a coin flip. That is the point of looking before you risk a dollar.
  6. /trader-budget with a $5,000 account and a $50 max loss per trade: 50 / 5.86 = 8 shares ($2,913.44). If the stop fills at 358.32, the loss is $46.88. It writes one bracket order: buy 8 TSLA, stop-loss 358.32, take-profit 370.04.
  7. /trader-risk checks it against your limits: the max loss, the daily loss limit, trades per day, reward to risk, the entry window, position size and cash. PASS or BLOCK, with the reason.
  8. /trader-broker shows you the ticket in plain words. You type yes for that exact order. Claude calls your brokerage connector (Alpaca's MCP server, paper account by default), and Claude's own "Allow once / Deny" card asks you one more time.
  9. /trader-alerts rings on the stop, the target and at 3:55 PM to flatten whatever is still open.

The tools

All standard-library Python. The data tools read public endpoints and are polite about it.

python3 trader-scanner/scan.py universe                                # ~5,900 US stocks, Nasdaq Trader
python3 trader-scanner/scan.py daily                                   # pre-market setups, whole universe
python3 trader-scanner/scan.py orb --at 10:15                          # opening-range breakouts so far
python3 trader-news/news.py --tickers TSLA --hours 12                  # headlines, 8-Ks, today's move
python3 trader-entry/entry.py check TSLA --setup orb                   # waiting / triggered / expired
python3 trader-entry/entry.py watch TSLA --every 30                    # bar by bar until it triggers
python3 trader-exit/exit.py plan --stop or-mid --target 1R --write     # -> trader/plan.json
python3 trader-timemachine/timemachine.py run --write                  # 10,000 replays + the history
python3 trader-budget/size.py --write                                  # -> trader/orders.json
python3 trader-risk/check.py                                           # PASS / BLOCK per order
python3 trader-broker/ticket.py show                                   # the tickets, READY or not
python3 trader-alerts/alerts.py add --from-plan                        # stop, target, flat by close
python3 trader-alerts/alerts.py check                                  # rings what hit, once
python3 trader-analyst/facts.py TSLA                                   # quarters, growth, EPS
python3 trader-pelosi/ptr.py index --member pelosi                     # her PTRs this year
python3 -m unittest discover -s tests -v

The tests run

// HOW IT'S BUILT

KEY FILES

trader-alerts/SKILL.mdREADME.md

// REPO STATS

20 stars