Let an AI Trader Handle the Screen-Watching

Market scans, price alerts, trade journaling, and performance reporting. Describe the task in one sentence, the agent does it across your apps.

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TRADING AGENT

Scan your watchlist for setups before the open

Pull the catalyst behind an unusual move on a ticker

Watch my key levels and ping me the moment one breaks

Log a trade with full context the moment I close it

Break down this week's trading performance without the math

Refresh my watchlist and drop the names that went dead

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Any Trading Task. One Message. Done.

A market to scan, a level to watch, a journal to fill. Tell the AI Trader what you need and it works across your market data, Google Sheets, Slack, and 1,500+ apps.

Get Work Done With Simple Chat Messages
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Pre-market scan complete. 5 names flagged from your watchlist.

Pre-Market Scan — Jun 11, 8:15 AM

FlagTickerPre-MktChangeCatalyst
🟢 Gap upNVDA$1,184+4.2%Analyst upgrade overnight
🟢 Gap upSMCI$52.10+6.8%Raised guidance after close
🔴 Gap downTGT$138.40-5.1%Earnings miss
🟡 At levelAAPL$228.90+0.8%Approaching $230 resistance
🟡 CatalystAMD$171.20+1.4%Product event today

Summary: 2 names gapping up on fresh catalysts (NVDA upgrade, SMCI guidance raise). TGT gapping down hard on an earnings miss, watch for a reversal setup. AAPL is testing your noted $230 resistance. AMD has a product event that could move it intraday. Full scan logged in the 'Pre-Market' tab.

👇 Here's what your team could do with a single message.
1.Scan your watchlist for setups before the open

Take the tickers in my watchlist in Google Sheets. Search the web for each one's pre-market price, percent change, and any overnight news or earnings. Flag any name gapping more than 3 percent, sitting near a key level from my notes, or carrying a fresh catalyst. Rank them by how actionable they look. Add the morning scan to the 'Pre-Market' tab in Google Sheets and post the top movers with their catalysts to my trading channel in Slack.

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2.Pull the catalyst behind an unusual move on a ticker

Take this ticker: [paste symbol]. It's moving and I want to know why before I act. Search the web for the latest news, filings, analyst notes, and social chatter from the last 24 hours. Identify the most likely driver of the move and whether it looks like a durable catalyst or a one-day reaction. Summarize the finding with the source links, save it to a Google Doc, and post a one-line read to my trading channel in Slack.

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3.Build a sector watchlist from today's strongest movers

Search the web for the top gaining and losing sectors today and the leading names driving each. For the sector I name [paste sector], pull the 10 strongest stocks by percent change and volume, note the catalyst behind each, and check each against the levels in my Google Sheets notes. Add them to a new 'Sector Watch' tab in Google Sheets with price, change, volume, and catalyst, and post the list to my trading channel in Slack.

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1.Watch my key levels and ping me the moment one breaks

Take the tickers and price levels in the 'Levels' tab of my Google Sheets. Check the current price of each against its level. For any ticker that has broken above resistance or below support, note the price, the level it crossed, and the volume on the move. Log the break in the 'Level Breaks' tab in Google Sheets and post an alert to my trading channel in Slack with the ticker, the level, and how far past it traded.

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2.Flag unusual volume spikes across my watchlist

Take the tickers in my watchlist in Google Sheets. Search the web for each one's current volume versus its average daily volume. Flag any trading more than twice its normal volume this early in the session. For each, pull a quick read on what's driving the volume. Log the spikes in Google Sheets and post the list to my trading channel in Slack so I can decide whether to act.

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3.Alert me to earnings and events on names I hold

Take my open positions and watchlist from Google Sheets. Search the web for any earnings dates, ex-dividend dates, or scheduled events in the next 5 trading days for those names. List each event with the date and the ticker it affects. Add them to an 'Upcoming Events' tab in Google Sheets and post the week's events to my trading channel in Slack so nothing catches me holding into a surprise.

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1.Log a trade with full context the moment I close it

Take this trade: [paste the ticker, entry, exit, size, and direction]. Calculate the profit or loss, the percent return, and the R multiple against the stop I noted. Pull the setup type and reason from what I described. Add a complete row to the 'Trade Journal' tab in Google Sheets with the date, ticker, direction, entry, exit, size, P&L, R multiple, setup, and reason. Post a one-line recap to my trading channel in Slack.

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2.Reconstruct today's trades from my broker activity

Take my fills export for today: [paste or link the data]. Group the fills into round-trip trades by ticker and direction. For each completed trade, calculate the entry, exit, size, P&L, and percent return. Match each to the setup notes in my Google Sheets where I have them. Add every trade as a row to the 'Trade Journal' tab in Google Sheets and post the day's net P&L and trade count to my trading channel in Slack.

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3.Tag and categorize my recent trades by setup type

Take the last 30 trades in my 'Trade Journal' tab in Google Sheets. For each one missing a setup tag, read the entry reason and notes and assign the right category: breakout, pullback, reversal, news, or range. Add a win rate and average R for each setup type at the bottom. Update the journal in Google Sheets and post which setups are carrying my results and which are dragging them to my trading channel in Slack.

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1.Break down this week's trading performance without the math

Take this week's trades from the 'Trade Journal' tab in Google Sheets. Calculate net P&L, win rate, average winner, average loser, profit factor, and largest drawdown. Break the results down by setup type and by day of the week. Flag the single biggest losing trade and what setup it was. Write the review to the 'Weekly Review' tab in Google Sheets and post the headline stats to my trading channel in Slack.

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2.Find the recurring mistake that's costing me money

Take the last 60 trades in my 'Trade Journal' tab in Google Sheets. Look across the losers for patterns: a setup with a poor win rate, trades taken outside my plan, sizing that's too big on certain names, or losses clustered at a time of day. Identify the single most expensive recurring mistake and quantify what it cost. Write the finding to a Google Doc and post the takeaway to my trading channel in Slack.

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3.Compare how my setups perform against each other

Take all trades from the last quarter in my 'Trade Journal' tab in Google Sheets. Group them by setup type and calculate the win rate, average R, profit factor, and total P&L for each. Rank the setups from best to worst by expectancy. Flag any setup that's net negative and any that's strong but underused. Update the 'Setup Stats' tab in Google Sheets and post the ranking to my trading channel in Slack.

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1.Refresh my watchlist and drop the names that went dead

Take the tickers in my watchlist in Google Sheets. Search the web for each one's recent price action and volume. Flag names that have gone quiet with no setup forming, and flag any that are setting up near a key level. Suggest names to remove and pull 5 fresh candidates from today's strongest movers to consider adding. Update the watchlist in Google Sheets and post the proposed changes to my trading channel in Slack.

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2.Show my current exposure and where my risk is concentrated

Take my open positions from the 'Positions' tab in Google Sheets. For each, calculate the position value, the percent of my account it represents, and the open risk against my stop. Total my exposure by sector and flag if any single position or sector is too large a share of the account. Update the 'Exposure' tab in Google Sheets and post the concentration flags to my trading channel in Slack.

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3.Check my open positions against their stops and targets

Take my open positions from the 'Positions' tab in Google Sheets with their stops and targets. Search the web for the current price of each. For each position, note how far it is from its stop and its target, and flag any sitting right at a decision point. Calculate the open P&L per position and in total. Update the 'Positions' tab in Google Sheets and post anything near a stop or target to my trading channel in Slack.

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jobs

Set It Once. The Screen-Watching Runs Itself.

Pre-market scans, level-break alerts, trade logging, weekly reviews. Running on schedule and on trigger whether you're at the desk or away from it.

Automate recurring processes in 30 seconds.
Run your pre-market scan before the bell every morning
When this happens...
Clock
Every weekday at 08:00 AM
Then do this...
👇 No workflow builder. Set it up in plain English.
1.
Run your pre-market scan before the bell every morning
Every weekday at 08:00 AM

Take the tickers in my watchlist in Google Sheets. Search the web for each one's pre-market price, percent change, and overnight news or earnings. Flag any name gapping more than 3 percent, near a key level, or with a fresh catalyst. Rank them by how actionable they look. Update the 'Pre-Market' tab in Google Sheets and post the top movers with their catalysts to my trading channel in Slack.

Read More
2.
Alert me the instant a watchlist name breaks a key level
When a tracked price crosses a set level

When the price of a ticker in my 'Levels' tab in Google Sheets crosses its noted support or resistance, note the price, the level, and the volume on the move. Log the break in the 'Level Breaks' tab in Google Sheets and post an alert to my trading channel in Slack with the ticker, the level it crossed, and how far past it traded so I can act fast.

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3.
Log every closed trade as soon as the fill comes through
When a position is closed in your broker data

When a round-trip trade closes, pull the entry, exit, size, and direction. Calculate the P&L, percent return, and R multiple against my noted stop. Match it to my setup notes in Google Sheets. Add a complete row to the 'Trade Journal' tab in Google Sheets and post a one-line recap to my trading channel in Slack.

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4.
Catch unusual volume spikes across your watchlist hourly
Every hour during market hours

Take the tickers in my watchlist in Google Sheets. Search the web for each one's current volume versus its average. Flag anything trading more than twice its normal volume and pull a quick read on the driver. Log the spikes in Google Sheets and post any new ones to my trading channel in Slack so I catch the move while it's live.

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jobs

Trading Playbooks You Can Run Every Session

Pre-market prep, trade reviews, watchlist builds, performance audits. Same process, same discipline, every single time.

Complete repetitive processes in clicks
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Run a full pre-market prep from watchlist to game plan
1. Scan Setup
Scan Setup

Fill fields below 👇

2. Scan and Rank the Watchlist
Agent

Pull the tickers in Watchlist Name from Google Sheets. Search the web for each one's pre-market price, percent change, and overnight news or earnings. Flag every name gapping more than Gap Threshold to Flag (%) percent or sitting near a key level from the notes. If a Sector to Prioritize was given, weight names in that sector higher. Rank the flagged names by how actionable the setup looks and note the catalyst behind each.

3. Log the Scan in Google Sheets
Add Rows to SheetinGoogle Sheets
4. Post the Game Plan to Slack
Send MessageinSlack
👇 See use cases.
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1.Run a full pre-market prep from watchlist to game plan
Question Mark
How this Playbook works?

Enter the watchlist to scan and the gap threshold to flag. The AI agent pulls each ticker's pre-market price, percent change, and overnight news from the web, flags every name gapping past your threshold or sitting near a key level from your notes, and ranks them by how actionable they look. The morning scan gets logged in a 'Pre-Market' tab in Google Sheets with the price, change, and catalyst for each name, and a ranked game plan with the top setups gets posted to your trading channel in Slack before the open.

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2.Reconstruct and journal a full session of trades
Question Mark
How this Playbook works?

Enter the trading date and the fills data to process. The AI agent groups the fills into round-trip trades by ticker and direction, calculates the entry, exit, size, P&L, percent return, and R multiple for each, and matches every trade to your setup notes in Google Sheets where they exist. Each completed trade gets added as a row to the 'Trade Journal' tab in Google Sheets with full context, and the day's net P&L, trade count, and win rate get posted to your trading channel in Slack.

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3.Run a weekly performance review and find the leaks
Question Mark
How this Playbook works?

Enter the week to review. The AI agent pulls that week's trades from the 'Trade Journal' tab in Google Sheets, calculates net P&L, win rate, average winner and loser, profit factor, and drawdown, then breaks the results down by setup type and day of week. It identifies the most expensive recurring mistake and quantifies what it cost. The full review gets written to a 'Weekly Review' tab in Google Sheets with the stats and the takeaway, and the headline numbers get posted to your trading channel in Slack.

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4.Build a fresh watchlist from the day's strongest movers
Question Mark
How this Playbook works?

Enter the sector or market to scan and how many names you want. The AI agent searches the web for the strongest gaining and losing stocks by percent change and volume, pulls the catalyst behind each, and checks them against the key levels in your Google Sheets notes. It ranks the candidates by setup quality. The new watchlist gets written to a 'Watchlist' tab in Google Sheets with price, change, volume, and catalyst for each name, and the list gets posted to your trading channel in Slack.

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Trade Your Plan. Let the Agent Watch the Tape.

Describe your trading task in one sentence. The agent does it across your apps.