Trading orders
Skill alpacahq/alpaca-skills/skills/broker-api/trading-orders
Place and manage orders on behalf of accounts via the Alpaca Broker API — order creation (qty vs notional, fractional shares, order types/TIF/classes), order status lifecycle, replace/cancel, positions, and trading-account buying power. Use when building trading, recurring-invest, or portfolio flows on Alpaca in any language.From its SKILL.md
npx -y skills add alpacahq/alpaca-skills --skill trading-ordersAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
9.2 KB, ~2.5k tokens by cl100k_base, as published. Nobody here has run it
Alpaca Broker API — Trading on Behalf of Accounts
Place, modify, cancel, and track orders for an end-user account, and read positions & buying power. The defining feature of Broker API trading: account_id is in the path — you act for a user account, not your own.
Read
alpaca-broker-integrationfirst. Broker API + HTTP Basic auth. (The standalone Trading API uses/v2/orderswith no account in the path; everything else here transfers.)
Reference
- Guides:
https://docs.alpaca.markets/docs/orders-at-alpaca,https://docs.alpaca.markets/docs/fractional-trading - API ref:
https://docs.alpaca.markets/reference/postorder - Live schema:
alpaca-docsMCP →get-endpointtitle"Broker API"path/v1/trading/accounts/{account_id}/orders
1. Endpoints
| Method | Path | Purpose |
|---|---|---|
| POST | /v1/trading/accounts/{id}/orders | Create order |
| GET | /v1/trading/accounts/{id}/orders | List orders (filter by status, symbols, after…) |
| GET | /v1/trading/accounts/{id}/orders/{order_id} | Get order by ID |
| GET | /v1/trading/accounts/{id}/orders:by_client_order_id?client_order_id=… | Get by your client ID |
| PATCH | /v1/trading/accounts/{id}/orders/{order_id} | Replace (modify) order |
| DELETE | /v1/trading/accounts/{id}/orders/{order_id} | Cancel one order (204) |
| DELETE | /v1/trading/accounts/{id}/orders | Cancel all (207 Multi-Status) |
| POST | /v1/trading/accounts/{id}/orders/estimation | Cost-estimate an order |
| GET / DELETE | /v1/trading/accounts/{id}/positions[/{symbol_or_asset_id}] | List / close positions |
| GET | /v1/trading/accounts/{id}/account | Trading-account details (buying power etc.) |
2. Create-order request
Schema-required: type and time_in_force. Conditionally required: symbol, side, and exactly one of qty/notional.
// notional market buy (dollar-based, fractional)
{ "symbol": "AAPL", "notional": "25.00", "side": "buy", "type": "market", "time_in_force": "day",
"client_order_id": "your-own-uuid" }
// limit qty sell
{ "symbol": "AAPL", "qty": "3", "side": "sell", "type": "limit", "limit_price": "190.00", "time_in_force": "gtc" }
| Field | Values / notes |
|---|---|
symbol | required (except mleg multi-leg options) |
qty | decimal string, up to 9 dp. Fractional only for market+day |
notional | decimal string, up to 9 dp. Mutually exclusive with qty |
side | buy, sell (plus advanced: sell_short, …) |
type | market, limit, stop, stop_limit, trailing_stop |
time_in_force | day, gtc, opg, cls, ioc, fok |
limit_price / stop_price | required for limit/stop variants |
trail_price / trail_percent | one required for trailing_stop |
extended_hours | bool; only with type=limit and TIF day/gtc |
client_order_id | ≤128 chars; your idempotency key (auto-generated if omitted) |
order_class | simple (default), bracket, oco, oto, mleg |
take_profit / stop_loss | {limit_price} / {stop_price, limit_price?} for bracket/oco/oto |
position_intent | buy_to_open, sell_to_close, … |
qty XOR notional (verbatim rule): pass one or the other — supplying both → 400. In the response, whichever you didn't use comes back null.
3. Fractional / notional rules
- On by default for all accounts (live + paper).
- Asset must have
fractionable: true(check the Assets API — seealpaca-broker-market-data), elserequested asset is not fractionable. - TIF must be
dayfor fractional/notional. - Notional is limited to
marketandlimit(day); onlylimitfor extended hours. Fractionalqtyadditionally allowsstop/stop_limitper the guide. - No shorting fractional — all fractional sells are marked long.
- Precision: up to 9 decimal places for both
qtyandnotional.
4. Order status lifecycle
OrderStatus (the order object's status): new, partially_filled, filled, done_for_day, canceled, expired, replaced, pending_cancel, pending_replace, accepted, pending_new, accepted_for_bidding, stopped, rejected, suspended, calculated.
Order
status≠ trade-eventevent. The order object'sstatusis the enum above. The SSE trade-update stream reports a richereventenum that adds operational events not present as a status — includingheld(multi-leg secondary legs awaiting trigger),trade_bust,trade_correct,restated,order_cancel_rejected,order_replace_rejected. Soheldexists as a trade event but never as an order status. Seealpaca-broker-sse-events.
Terminal: filled, canceled, expired, rejected (and replaced for the original order). Everything else is in-flight.
Early-state distinctions (these trip people up):
accepted— received by Alpaca, not yet routed to a venue (common outside market hours).new— received and routed to exchanges; the usual initial live state.pending_new— routed but not yet accepted for execution (rare).
So the typical opening sequence is accepted → pending_new → new, then fills. Lesson: treat new/accepted/pending_new as "exists but not done." Persist the order on submit, then update on fill/cancel/reject events — don't block the user waiting for a terminal state synchronously.
5. Positions & trading account
Position key fields: symbol, asset_id, qty, qty_available (free of open orders), side (long/short), avg_entry_price, market_value, cost_basis, unrealized_pl, unrealized_plpc, current_price, change_today.
TradeAccount key fields:
buying_power(with marginmultiplier1–4),cash,cash_withdrawable,equity,last_equity.- Blockers:
trading_blocked,account_blocked,transfers_blocked,trade_suspended_by_user. multiplier,regt_buying_power,non_marginable_buying_power,long_market_value,initial_margin,maintenance_margin,sma.
Lesson — check buying power before notional orders. For a "spend $X" UX, read buying_power/cash first and reject/notify on insufficient funds, rather than letting Alpaca reject the order. (Cache it per account within a batch run to avoid re-fetching.)
PDT/day-trade fields are deprecated (since 2026-04-27, sunset 2026-07-06) following FINRA's intraday-margin rule change:
daytrade_count,pattern_day_trader,daytrading_buying_power,bod_dtbp, plus configdtbp_check/pdt_check. They still exist in the schema today but stop relying on them.
6. Documented gotchas
- Wash-trade rejection (403): if a user's two orders could self-cross (opposite sides, crossable prices), Alpaca rejects. Opposing market/stop pairs are always rejected; opposing limits rejected when buy-limit ≥ sell-limit. Use
bracket/oco/trailing_stopfor simultaneous take-profit + stop-loss — they're exempt. - Bracket constraints: requires both
take_profit.limit_priceandstop_loss.stop_price; TP must be above SL for a buy; no extended hours; TIFday/gtc; child legs activate only after the entry fully fills; canceling one cancels the group. - Notional orders can't be replaced — cancel and resubmit (IPO-class notional is the exception). Fractional
qtycan't be changed on replace ("full shares only"). - Replace ≠ guaranteed: a
200from PATCH can still be rejected if the original fills first; watch the trade-updates stream. Can't replace whileaccepted/pending_new/pending_cancel/pending_replace. - Cancel semantics: single cancel →
204, or422if no longer cancelable; cancel-all →207per-order results; close-all positions →207. Close-single accepts mutually-exclusiveqtyorpercentage.
7. Idempotency & recurring-invest lessons
- Always set
client_order_idfrom your own transaction record. It's your dedup key and lets you look the order up (orders:by_client_order_id) if the create response is lost. Note it dedups lookup, not necessarily replay — combine it with a local "already-submitted?" guard. - Recurring/scheduled buys (lesson): the robust pattern is — fetch pending invest instructions from your DB → check buying power → place a
notionalmarket/dayorder per instruction → record the returned order → mark the instruction done only after a successful create. On insufficient funds, cancel the instruction and notify, don't silently skip. Schedule the batch shortly before market open and respect the market clock (alpaca-broker-market-data). - Track fills via the trade events SSE stream, not by polling each order — see
alpaca-broker-sse-events.
Related skills: prices/assets/clock → alpaca-broker-market-data; fills in real time → alpaca-broker-sse-events; rate limits on bulk placement → alpaca-broker-rate-limits-resilience; money formatting → alpaca-broker-money-precision.
What ships with it: 1 file
1.3 KB alongside SKILL.md
- reference.md1.3 KB
Gives 0 of the 12 instructions most finance skills give in ~2.5k tokens
Counted across 469 of the 469 authors here whose files we hold, read 2026-08-07
- Extract date vendor amount and descriptionin 15 of 469, across 3 files
- Scan folder for invoice filesin 14 of 469, across 2 files
- Rename files to standard formatin 14 of 469, across 2 files
- Show organization plan before movingin 14 of 469, across 2 files
- Generate summary CSVin 14 of 469, across 2 files
- Organize files by categoryin 13 of 469, across 1 file
- Preserve original filesin 13 of 469, across 1 file
- Flag files missing critical infoin 13 of 469, across 1 file
- Produce the requested output filein 9 of 469, across 4 files
- Build best, base, and worst case scenariosin 9 of 469, across 5 files
- Implement backoff if rate limit errors occurin 8 of 469, across 3 files
- Determine the weighted average cost of capitalin 8 of 469, across 4 files
Said here and by no other author read
- put account_id in the request path
- use basic auth
- include type and time_in_force in every order
- supply exactly one of qty or notional
- check buying power before placing notional orders
- set client_order_id for idempotency
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.