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Agentic AI in Action

Smart Trading Assistant — Buy Low, Sell High

One amount. AI does the research, timing, execution, and monitoring.

The User Prompt

"I have $5,000 to invest. Find me the best buy-low opportunities right now and set up automatic sell targets."

One sentence triggers an 11-step agentic workflow — scanning market data, analyzing technical indicators, screening for undervalued stocks, validating your account, executing trades, setting stop-loss and take-profit orders, and monitoring positions with real-time alerts.

What ContextWeaver Does

1
Scan Market for Buy-Low Opportunities Market Data API AI Analysis
screen_stocks(criteria=["oversold_rsi", "near_52w_low", "strong_fundamentals", "high_volume_spike"], budget=5000)
"Scanned 3,500+ stocks. Found 12 oversold with strong fundamentals. Top 5 buy-low candidates:

CRWD CrowdStrike — $218 (down 15% this month, RSI 28) • Earnings beat, sector rotation dip
SHOP Shopify — $62 (near 52-week low, RSI 31) • Strong revenue growth, oversold on macro fears
AMD AMD — $142 (down 12%, RSI 33) • AI chip demand intact, temporary sell-off
NET Cloudflare — $78 (down 18%, RSI 27) • 30% revenue growth, beaten down with tech sector
DKNG DraftKings — $34 (near support level, RSI 30) • Sports betting expansion, profitable last quarter

Want me to break down any of these, or should I build a portfolio?"
2
User Sets Strategy Voice Input
"Split it across the top 3. Set sells at 15% profit and stop losses at 8% down."
3
AI Builds Trade Plan AI Analysis
"Here's your trade plan for $5,000 split across 3 positions:

StockBuy PriceSharesCostSell Target (+15%)Stop Loss (-8%)Profit Target
CRWD$218.007$1,526$250.70$200.56+$228.90
SHOP$62.0027$1,674$71.30$57.04+$251.10
AMD$142.0012$1,704$163.30$130.64+$255.60
Total$4,904Cash reserve: $96+$735.60
Maximum risk: -$392 (8%) • Reward target: +$735 (15%) • Risk/Reward: 1:1.9
Shall I execute?"
4
Validate Brokerage Account Brokerage API
get_account(broker="alpaca") — API key from @vault:cw-pvt-ajay-alpaca-api-key
"Brokerage account verified:
• Buying power: $12,450 (sufficient for $4,904)
• Pattern day trader: No
• Account type: Individual margin
✅ Ready to execute."
Brokerage API key from locked connector vault — per-user, never exposed
5
User Confirms Voice Input
"Execute all three trades."
6
Execute Buy Orders Brokerage API
place_order(symbol="CRWD", side="buy", qty=7, type="limit", price=218.00)
place_order(symbol="SHOP", side="buy", qty=27, type="limit", price=62.00)
place_order(symbol="AMD", side="buy", qty=12, type="limit", price=142.00)
"All 3 orders submitted as limit orders (not market, to protect from slippage):
✅ CRWD: 7 shares @ $218.00 — FILLED @ $217.85
✅ SHOP: 27 shares @ $62.00 — FILLED @ $61.92
✅ AMD: 12 shares @ $142.00 — FILLED @ $141.80
Total invested: $4,897.39"
7
Set Stop-Loss & Take-Profit Orders Brokerage API
place_oco_order(symbol="CRWD", qty=7, take_profit=250.70, stop_loss=200.56)
place_oco_order(symbol="SHOP", qty=27, take_profit=71.30, stop_loss=57.04)
place_oco_order(symbol="AMD", qty=12, take_profit=163.30, stop_loss=130.64)
"OCO (One-Cancels-Other) orders set for all 3 positions:
🟢 CRWD: sell at $250.70 (profit) OR $200.56 (stop-loss)
🟢 SHOP: sell at $71.30 (profit) OR $57.04 (stop-loss)
🟢 AMD: sell at $163.30 (profit) OR $130.64 (stop-loss)

These are automatic — the broker executes them even if you're offline."
8
Set Up Real-Time Monitoring Market Data API Notifications
create_alert(symbols=["CRWD","SHOP","AMD"], conditions=["price_move_5pct", "volume_spike", "earnings_date", "analyst_upgrade"])
"Monitoring active. I'll alert you via Teams/SMS when:
• Any position moves ±5% in a day
• Unusual volume spike detected
• Earnings date approaching (7 days before)
• Analyst upgrade or downgrade
• Stop-loss or take-profit triggered"
9
Daily Portfolio Check-In Voice Input (next day)
"How are my trades doing?"
"Portfolio update (Day 2):

CRWD $223.40 +2.5% ($38.85 gain) — recovering nicely, RSI improving
SHOP $63.20 +2.1% ($34.56 gain) — bouncing off support, volume increasing
AMD $139.50 -1.6% ($27.60 loss) — sector still weak, but within range

Overall: +$45.81 (+0.9%) • No stop-losses triggered • All targets intact
Recommendation: Hold all positions — thesis unchanged."
10
Take-Profit Triggered! Auto-Alert
"🎉 SHOP hit your take-profit target!
Sold 27 shares @ $71.30
Bought @ $61.92 • Sold @ $71.30
Profit: +$253.26 (+15.2%) in 11 days

Remaining positions: CRWD ($231 +6%), AMD ($148 +4.4%)
Want me to reinvest the $1,925 from the SHOP sale?"
11
User Decides Next Move Voice Input
"Nice! Find me another buy-low opportunity with that money."
"Scanning for new opportunities with your $1,925... 🔍
The cycle continues — buy low, sell high, reinvest."

What Makes This Possible in ContextWeaver

CapabilityHow It's Used
AI stock screeningAnalyzes RSI, 52-week ranges, fundamentals, volume patterns, and sector trends to find oversold stocks with strong recovery potential
Multi-connector orchestrationOne plugin chains Market Data + Brokerage + Notifications + Calendar into a continuous trading workflow
Locked connector + vaultBrokerage API credentials are in a locked connector — each user's API key/secret resolved from their private vault scope. No one can see or override another user's trading credentials
OCO order managementAutomatically creates One-Cancels-Other orders (take-profit + stop-loss) so the broker executes even when the user is offline
Continuous monitoringMarket data connector watches positions in real-time, sends alerts on price moves, volume spikes, earnings, analyst changes
Conversational tradingUser speaks naturally ("split across top 3", "how are my trades doing?") — AI translates to precise trading actions
Risk managementAI calculates position sizing, risk/reward ratios, maximum drawdown, and enforces stop-losses before executing
Reinvestment loopWhen a take-profit triggers, the agent proactively suggests new opportunities — a continuous buy-low-sell-high cycle

Can Anyone Else Do This Today?

Platform Verdict Why Not
Robinhood / Webull ⚠️ Partial Can place trades and set price alerts, but no AI screening, no automated buy-low strategy, no voice, no risk analysis before execution
ChatGPT ⚠️ Partial Can discuss strategies and analyze stocks, but can't access live market data, can't execute trades, can't set real orders
TradingView ⚠️ Partial Excellent charting and screening, but no conversational AI, no automatic order placement, no voice interface, manual execution
Alpaca / IBKR Algo Trading ⚠️ Partial API for automated trading, but requires writing Python code, no natural language, no conversational refinement, no AI screening
Wealthfront / Betterment ⚠️ Limited Automated investing but index funds only, no individual stock picks, no buy-low-sell-high strategy, no user control
ContextWeaver ✅ Full Flow AI stock screening, risk analysis, automated trade execution, OCO orders, real-time monitoring, voice commands, continuous reinvestment loop — all with vault-secured brokerage credentials per user

The key differentiator: No other platform lets you say "invest $5,000 buy low sell high" and have AI screen 3,500 stocks, build a risk-managed portfolio, execute limit orders, set automatic take-profit and stop-loss, monitor in real-time, and reinvest profits — all in one voice conversation with each user's brokerage credentials secured in a locked vault connector.

Disclaimer: This scenario is for demonstration purposes. All trading involves risk. Past performance does not guarantee future results. Always consult a financial advisor before making investment decisions. ContextWeaver provides the orchestration platform — trading strategies are the user's responsibility.

Connectors Used in This Scenario

📈
Market Data
Polygon.io / Alpha Vantage
🔒 API key in vault
🏦
Brokerage
Alpaca / IBKR / TD
🔒 LOCKED connector
📅
Microsoft Graph
Calendar + email
🔒 OAuth in vault
🔔
Notifications
Teams / SMS / Email
🔒 Webhook in vault
Brokerage connector is LOCKED — each user's API key/secret resolved from their private vault scope. No extensions, no overrides, no credential sharing.
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