ada-trader

name	ada-trader
description	Automated daily swing trading strategy — scans pre-market movers, picks momentum stocks, buys at open, manages exits at afternoon check with stop-loss and profit targets. Designed for small cash accounts ($500) using Robinhood Agentic MCP.
metadata	{"author":"github.com/LeoSaucedo","version":"1.0.0","openclaw":{"emoji":"📈","requires":{"bins":["node","pnpm","python3"],"skills":["robinhood-agentic"]}}}

Ada Trader

Daily swing trading with dynamic stock selection. Scans pre-market movers, ranks by momentum, buys at open, manages exits with stop-loss and profit targets.

Account Requirements

• Cash account (no PDT rule)
• T+1 settlement
• Funded Robinhood Agentic account (separate from main)
• Complete investor profile (one-time Robinhood requirement)

Setup

1. Install Dependencies

The Robinhood Agentic skill must be installed and authenticated:

cd robinhood-agentic && pnpm install && node rh-client.mjs auth

2. Create Cron Jobs

Two crons required, both pointing at this skill:

Morning Routine (M-F, 9:30 AM ET):

schedule: "30 9 * * 1-5" (America/New_York)
payload: "Read the ada-trader skill and execute the Morning Routine. Post to your trading channel."
delivery: announce to your trading channel
timeout: 600s, thinking: medium

Afternoon Routine (M-F, 3:45 PM ET):

schedule: "45 15 * * 1-5" (America/New_York)
payload: "Read the ada-trader skill and execute the Afternoon Routine. Post to your trading channel."
delivery: announce to your trading channel
timeout: 600s, thinking: minimal

3. Customize

Adjust max positions in the Strategy Parameters table. Trade size is automatically set to 10% of total account value — no manual editing needed.

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Strategy Parameters

Parameter	Value
Chunk size	10% of account value (auto-calculated)
Max positions	5 (or until settled cash exhausted)
Stop-loss	-5% from entry
Profit target	+10% from entry
Daily sell rule	Close the oldest open position every afternoon

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Stock Selection

Pick fresh tickers each morning — no static watchlist. Use web_search for:

• "top pre-market movers today high volume"
• "stocks with biggest pre-market gains today"

Compile 10-15 tickers with an absolute move of at least ±0.5% in pre-market. Prefer stocks with clear catalysts (earnings, analyst upgrades, sector momentum, news). Flat market = fewer picks.

---

Morning Routine

1. Find Today's Movers

Search for pre-market movers and compile 10-15 tickers.

2. Rank With Scanner

echo "TICKER1,TICKER2,..." | python3 ~/.openclaw/workspace/skills/ada-trader/scripts/scanner.py

Pick the top-ranked symbol. The scanner calls the Robinhood MCP for live quotes and ranks by momentum (% change from prior close).

2.5 Check Recently Sold Blacklist

Before announcing a pick, check if the top-ranked symbol (or any candidate) was recently sold. Run:

node ~/.openclaw/workspace/skills/robinhood-agentic/rh-client.mjs call get_equity_orders "{\"account_number\":\"<ACCT>\",\"side\":\"sell\",\"state\":\"filled\",\"created_at_gte\":\"$(date -u -d '24 hours ago' +%Y-%m-%dT%H:%M:%SZ)\"}"

Extract symbols from filled sell orders in the last 24 hours. Skip any ticker that was sold within the last 24 hours — move to the next-ranked candidate instead. Post to channel: "Skipping {TICKER} — sold within last 24h." If all candidates are blacklisted, skip trading for the day and post why.

3. Announce the Pick

Post to channel: symbol, current price, % change, catalyst, target +10%, stop -5%.

4. Check Portfolio & Calculate Chunk

node ~/.openclaw/workspace/skills/robinhood-agentic/rh-client.mjs call get_portfolio '{"account_number":"<ACCT>"}'

Extract total_value. Calculate chunk = total_value × 0.10 (rounded to 2 decimals). Verify settled cash ≥ chunk. Get account_number from get_accounts if needed. If not enough cash, post why and skip.

5. Review & Place Buy Order

First, review the order to surface pre-trade warnings:

node ~/.openclaw/workspace/skills/robinhood-agentic/rh-client.mjs call review_equity_order '{"account_number":"<ACCT>","symbol":"<PICK>","side":"buy","type":"market","dollar_amount":"<CHUNK>","time_in_force":"gfd","market_hours":"regular_hours"}'

Post any alerts from the review output to the channel alongside the estimated cost and quote data.

⚠️ place_equity_order executes immediately — there is no Robinhood app confirmation step. The review step is the only preview; once placed, the order is sent directly.

Then place the order:

node ~/.openclaw/workspace/skills/robinhood-agentic/rh-client.mjs call place_equity_order '{"account_number":"<ACCT>","symbol":"<PICK>","side":"buy","type":"market","dollar_amount":"<CHUNK>","time_in_force":"gfd","market_hours":"regular_hours"}'

Replace <CHUNK> with the calculated 10% value (e.g. "50.00" for a $500 account). Advanced users may skip the review step if they understand the risks — but still get chat confirmation before placing.

---

Afternoon Routine

1. Check Positions

node ~/.openclaw/workspace/skills/robinhood-agentic/rh-client.mjs call get_equity_positions '{"account_number":"<ACCT>"}'

2. Get Current Quotes

node ~/.openclaw/workspace/skills/robinhood-agentic/rh-client.mjs call get_equity_quotes '{"symbols":["TICKER1","TICKER2"]}'

Calculate P&L: (current_price - avg_cost) / avg_cost × 100.

3. Apply Sell Rules

• P&L ≥ +10% → SELL (profit target)
• P&L ≤ -5% → SELL (stop-loss)
• OLDEST open position → SELL (maintain daily rhythm — sell at least 1 per day)
• P&L between -3% and -5% AND market weakening → SELL (EOD risk cut)

4. Review & Place Sell Orders

First, review the sell order to surface any pre-trade warnings:

node ~/.openclaw/workspace/skills/robinhood-agentic/rh-client.mjs call review_equity_order '{"account_number":"<ACCT>","symbol":"<TICKER>","side":"sell","type":"market","quantity":"<ALL SHARES FROM POSITIONS>","time_in_force":"gfd","market_hours":"regular_hours"}'

Post any alerts alongside the P&L and current quote.

⚠️ place_equity_order executes immediately — there is no Robinhood app confirmation step. The review step is the only preview; once placed, the order is sent directly.

Then place:

node ~/.openclaw/workspace/skills/robinhood-agentic/rh-client.mjs call place_equity_order '{"account_number":"<ACCT>","symbol":"<TICKER>","side":"sell","type":"market","quantity":"<ALL SHARES FROM POSITIONS>","time_in_force":"gfd","market_hours":"regular_hours"}'

Use quantity (number of shares), NOT dollar_amount, for sell orders. Advanced users may skip the review step if they understand the risks — but still get chat confirmation before placing.

5. Report

Post to channel: what sold, P&L per position, remaining positions.