
trader-budget
Budget Manager. Sizes every position to your budget and your max loss per trade. Reads the trade plan from trader-exit (entry, stop, target), finds the whole shares that fit inside four limits (max loss per trade, position cap, max order, cash after your buffer), says which limit decided it, and writes ONE bracket order (entry, stop-loss, take-profit) to trader/orders.json in the exact shape of Alpaca's placestockorder. A stop too far away for your max loss is a plain refusal, not a smaller order. Nothing is placed. Use when the user says "how many shares", "size this trade", "how much should I buy", "I have $5,000", "I only want to risk $50 a trade", "set my rules", "keep 10% in cash", or after /trader-exit writes a plan.
- Installs
- 90
- Last 24h
- +16
- Trending rank
- #6903
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/jakeschincariol/day-trader-skill --skill trader-budget- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads trader-budget automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
trader-budget
The Budget Manager turns a plan ("buy TSLA at 364.18, stop 358.32") into an exact order ("buy 8 shares"), inside rules the user sets once. The stop decides the size: the further away the stop, the fewer shares. It writes a proposal only. trader-risk checks it and trader-broker asks the user yes or no. Day trading loses most people money. Sizing to a max loss keeps each loss small; it does not make a trade win.
${CLAUDE_SKILL_DIR} below is this skill's folder (where this SKILL.md lives).
python3 "${CLAUDE_SKILL_DIR}/size.py" # trader/plan.json + trader/config.json
python3 "${CLAUDE_SKILL_DIR}/size.py" --write # write trader/orders.json
python3 "${CLAUDE_SKILL_DIR}/size.py" --limit --write # a limit order at the plan's entry
python3 "${CLAUDE_SKILL_DIR}/size.py" --limit 364.00 --json # a limit order at 364.00
python3 "${CLAUDE_SKILL_DIR}/size.py" --weights AAPL=40,KO=60 --config split.json # weights mode, below
--now "2026-10-19 10:15" pins the clock (New York time). A plan for
another day is refused: make a new one with trader-exit.
What it reads and writes
| file | what |
|---|---|
trader/config.json | the rules (start from config.example.json in this folder) |
trader/plan.json | the trade: entry, stop, target, setup, flat-by time (trader-exit writes it) |
trader/prices.json | optional: a fresh price above the plan's entry means a bigger risk (trader-alerts writes it) |
trader/portfolio.json | optional: its cash caps the size (trader-broker keeps it) |
trader/orders.json | the one proposed bracket order it writes with --write |
Step 1: set the rules once
If trader/config.json does not exist, copy config.example.json into
trader/config.json and ask the user for each value in plain words:
- budget: how much money this is for. Only money they can afford to lose.
- cash_buffer_pct: how much always stays in cash (default 10).
- max_loss_per_trade_usd: the most one trade may lose if the stop fills at the stop (default 50).
- max_position_pct, max_order_usd, min_order_usd: the biggest position (75% of the budget), the biggest order ($4,000) and the smallest order ($5).
- The day limits trader-risk enforces: max_daily_loss_usd (150), max_trades_per_day (3), min_reward_risk (1.0), require_stop (true), no_entries_before / no_entries_after ("09:45" / "15:30") and flat_by ("15:55"), all New York time.
- blocked: tickers they never want to trade.
- Keep paper true until they have watched it work on a paper account.
Step 2: size the trade
python3 "${CLAUDE_SKILL_DIR}/size.py" --write
Whole shares only: Alpaca takes no fractions in a bracket order. The size is the smallest of four limits:
| limit | shares |
|---|---|
| max loss | max_loss_per_trade_usd / risk a share (entry minus stop) |
| position cap | budget x max_position_pct / entry |
| max order | max_order_usd / entry |
| cash | (budget minus the cash buffer) / entry, never more than the cash in trader/portfolio.json |
The entry it sizes at: the limit price with --limit. For a market order, the
plan's entry, or the price in trader/prices.json if it is fresh (under 15
minutes old) and higher. A price that ran up since the plan means a bigger
loss at the same stop, so fewer shares. A lower price never shrinks the risk.
It refuses, and writes no order, when: the size is zero shares, the order is
under the minimum, reward:risk is under min_reward_risk, the stop is not
below the entry, the target is not above it (the move already happened), the
plan is for another day, the ticker is blocked, or the plan is a short. Say
the reason to the user in one line.
Step 3: show the user
Show the four limits, which one decided the size, the shares, the dollars
and the max loss at the stop. Say plainly that a stop is an order, not a
promise: in a fast market it can fill below the stop. Then hand over to
/trader-risk.
Example: the reel
TSLA on Monday 2026-10-19. Opening-range breakout: entry 364.18 at 10:15 AM, stop 358.32 (the opening-range midpoint), target 370.04 (1R). Risk 5.86 a share. The example config: $5,000 budget, 10% cash buffer, $50 max loss.
| limit | the math | shares |
|---|---|---|
| max loss | $50 / 5.86 | 8 (decides it) |
| position cap | 75% of $5,000 = $3,750 / 364.18 | 10 |
| max order | $4,000 / 364.18 | 10 |
| cash | $5,000 minus $500 = $4,500 / 364.18 | 12 |
8 shares = $2,913.44. Max loss at the stop: 8 x 5.86 = $46.88. It writes:
{"symbol": "TSLA", "side": "buy", "qty": "8", "type": "market", "time_in_force": "day",
"order_class": "bracket", "take_profit_limit_price": "370.04", "stop_loss_stop_price": "358.32",
"why": "opening-range breakout on TSLA: 8 shares, bound by your $50 max loss per trade (8 x 5.86 = $46.88 at the stop)",
"plan": {"entry": 364.18, "stop": 358.32, "target": 370.04, "risk_per_share": 5.86, "max_loss": 46.88,
"setup": "orb", "entry_time": "10:15 AM", "flat_by": "15:55"}}
why and plan are notes for trader-risk and trader-broker. They are never
sent to Alpaca. With the stop at 300.00 instead, one share would risk 64.18,
more than the $50 max loss: no order. At 10:52 the real quote was 366.48, so
the same plan sizes to 6 shares at 8.16 a share, and reward:risk falls to
0.44: refused, because the move it was waiting for has mostly happened.
Weights mode (kept from v1)
--weights AAPL=22.04,KO=10.86 or --targets FILE (targets.example.json
here) splits a budget across a list by weight: the cash buffer comes off the
top, weights are renormalised to 100, any stock over max_position_pct is
pinned at the cap and its excess shared out, slices under the minimum order
are dropped, and amounts round to whole dollars so nothing is left idle by
accident. With "max_position_pct": 25 and "fractional": true, the example
file gives AAPL $1,250 (capped), AXP $1,119, GOOGL $823, KO $708, BAC $600.
With "fractional": false (the example config) it buys whole shares and
needs prices (--prices trader/prices.json). These are plain buys with no stop: trader-risk blocks them while
require_stop is true and counts each one against max_trades_per_day. Use
a separate config (--config) for a long-term split.
Rules
- Proposals only. This skill never calls a broker tool.
- Never size money the user has not said is for this. Ask for the budget and the max loss.
- Every number comes from the config, the plan or the prices. Nothing is guessed.
- No projections: never say what a trade will make. A target is a plan, not a forecast.
- Free Yahoo prices are unofficial and can lag. The broker's price is the one that fills.
What it never does
It never places, approves or schedules an order, never raises a limit on its own, never shrinks a stop to fit more shares, and never sizes options, margin or short positions.
Safety
- Education and tooling, not financial advice. A PASS is a rules check, not a recommendation.
- Paper trading by default (
"paper": true). Going live is the user's own decision, in their own config. - Nothing in this pack places an order except trader-broker, and only when all three hold: trader-risk passed that exact order today, the user typed an explicit yes for that one order in the chat, and the user clicked Allow once on Claude's own card because the order tool is set to "Needs approval" (Customize > Connectors > tool permissions). Never set an order tool to "Always allow".
- No options, margin, short selling or leverage unless the config allows it and the user confirms.
- Broker keys live in environment variables or the Claude Desktop config, never in the chat.
FAQ
What does the trader-budget skill do?
Budget Manager. Sizes every position to your budget and your max loss per trade. Reads the trade plan from trader-exit (entry, stop, target), finds the whole shares that fit inside four limits (max loss per trade, position cap, max order, cash after your buffer), says which limit decided it, and writes ONE bracket order (entry, stop-loss, take-profit) to trader/orders.json in the exact shape of Alpaca's placestockorder. A stop too far away for your max loss is a plain refusal, not a smaller order. Nothing is placed. Use when the user says "how many shares", "size this trade", "how much should I buy", "I have $5,000", "I only want to risk $50 a trade", "set my rules", "keep 10% in cash", or after /trader-exit writes a plan.
How do I install trader-budget?
Run npx skills add https://github.com/jakeschincariol/day-trader-skill --skill trader-budget in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/trader-budget/ (personal) or .claude/skills/trader-budget/ (project).
Which AI agents can use trader-budget?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is trader-budget safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains trader-budget?
It is published by jakeschincariol in jakeschincariol/day-trader-skill. It has 90 recorded installs.
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jakeschincariol/day-trader-skill
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Open the skill to read its SKILL.md instructions.
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Risk Manager. Checks every trade against your limits and stops anything over them, before it can reach the broker. For a day trade: a stop is required, the loss at the stop must fit your max loss per trade (measured from the higher of the plan's entry and a fresh price), reward:risk must meet your minimum, the day's total risk must fit your daily loss limit, no more than your trades per day, and no new entries outside your entry window or when the market is closed. It also keeps the basics: blocked tickers, order size, position cap, cash buffer, margin, short sales, options and crypto, malformed or bad bracket orders, duplicates and a daily order limit. Getting out is never blocked by a day limit. Prints PASS or BLOCK with the reason and records the verdicts so trader-broker only shows an order that passed. Use when the user says "check my order", "is this safe", "risk check", "does this break my rules", "can I take this trade", "how much have I risked today", or before /trader-broker,
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Exit Planner. Sets your stop and your target before you enter, so you know when to get out. Reads the entry from trader-entry (or a price you give), puts the stop at the opening-range midpoint by default (or the range low, your price, a percent, or a multiple of the ATR), rounds it down to the cent, and sets the target at 2R (or 1R, or your price). Refuses a stop at or above the entry, a target at or below it, or a stop too tight to survive the spread, and says why. Writes trader/plan.json for the Time Machine, the Budget Manager and Price Alerts. Long side only. Use when the user says "where's my stop", "set my stop and target", "plan the exit", "when do I get out", "stop loss", "what's my R", "risk reward", or right after /trader-entry triggers, before /trader-timemachine.
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The Earnings Analyst. Reads a company's reported numbers straight from SEC EDGAR (XBRL company facts from its 10-Qs and 10-Ks, plus the latest earnings 8-K and its press release) and sums up what changed: revenue, gross, operating and net margins, net income and diluted EPS, quarter by quarter, each against the same quarter a year earlier, with the trailing twelve months. Reads an earnings call transcript when you paste one. Use when the user says "how did Tesla's earnings look", "analyze the earnings", "what changed this quarter", "is revenue growing", "check the 10-Q", "compare margins", "sum up the call", "does it report this week", or before trading a stock around its earnings.
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Open the skill to read its SKILL.md instructions.
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