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Your personal team of AI market analysts.
Choose or build AI agents that follow your markets, track what matters to you, and deliver intelligence tailored to your trading and investment styles.
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Pre-market watchlist briefBuilt by you8:30 AM
NVDA back at $211 support after a 13% pullback; MSFT reports Wed after the close, options price ±5.3%.
Watcher: QQQ under yesterday's lowEvery minute11:42 AM
Triggered on 1.6× normal volume. One alert, sent to Telegram.
Earnings: implied vs actual movesLibrary3:30 PM
Options price a ±7.2% move for tonight's report; its last 8 reports moved 5.9% on average.
Big funds: what they bought and soldLibrary6:30 PM
2 new 13D stakes, and ARK added to a name on your watchlist.
Edge, your coachLearns your style7:05 PM
Your 8% trailing stop beat scaling out on 352 past breakout trades. Want it re-run with a 10% stop?
Delivered to AppEmailTelegramIllustrative example
How it works
Analysts that work for you, not the other way round
Each agent is a research analyst with one job and its own schedule. Put together the team you want, and it does the reading, the data work and the math while you get on with your day.
They follow your markets
Every morning, after the close, weekly, or as often as every minute for a watcher. Each run pulls live prices, options chains, futures, SEC filings and news, and works the numbers out in code.
Intelligence, not noise
Reports land in the app, by email and on Telegram, written around what you trade. Quiet days stay quiet: no filler. Ask a follow-up on any report and the analyst digs deeper.
They read the market for you
The hours you'd spend flipping through charts, options chains, filings and headlines, your analysts spend for you on every run. They do the reading, run the numbers and write up only what matters.
- ChartsTrend, moving averages, support and resistance, gaps and volume on every name you follow.
- Options chainsImplied moves, IV Rank, skew and how options are priced against what the stock really does.
- Filings13F, 13D and Form 4 filings and Congress trading disclosures, read straight from the source.
- News, earnings and economic dataHeadlines, analyst changes, earnings dates and the releases that move your markets.
Reading
- 1Down 13.3% from its Oct 6 high of $243.37
- 2Back at the Sep 14 low ($208.93), where it bounced last time
- 3Closed below a falling 10-day average ($218.62)
Also read this runOptions chainAnalyst changesHeadlinesForm 4 filings
→ 3-line note sent to Telegram · Mon 8:31 AMSample note
- 1Pulled back 4.8% from its Oct 13 high of $551.15
- 2Friday tagged $516–519, the Sep 25 breakout level
- 3Reports Wed after the close; options price ±5.3% by Oct 30
Also read this runOptions chainEarnings historyAnalyst estimatesHeadlines
→ Earnings preview sent by email · Tue 6:05 PMSample note
- 12.8% off the Oct 6 high of $781.62
- 2Friday closed just under the Oct 16 low of $760.64
- 3Fed Wed 2 PM, GDP and core PCE Thu: options price ±1.8% by Oct 30
Also read this runOptions chainEcon calendarSector ETFsMarket breadth
→ Fed-week brief sent to the app · Sun 7:00 PMSample note
- 1Sep 21: +7.2% breakout to $87,397; now 7% below that high
- 2Rejected at $84,856 on Oct 21, then −4.1% the next day
- 3Every October dip to the $80k area was bought; no close below $81.1k
Also read this runFunding ratesOpen interestBTC options (DVOL)Headlines
→ Weekend note sent to Telegram · Sat 9:15 AMSample note
- 1Oct 22: −2.2% on the heaviest volume since Sep 28
- 2Broke the Oct 7 & 14 lows and dipped under $4,000 (low $3,989.1)
- 3Lowest close on the chart, under a falling 10-day average ($4,134.8)
Also read this runTreasury yieldsUS dollarEcon calendarHeadlines
→ Breakdown alert sent by email · Fri 5:20 PMSample note
Not another chatbot. Every number is computed by running real code on real market data, never estimated and never from memory. Research and education only: your analysts show the evidence and never tell you to buy or sell.
Tailored to you
A team for the way you trade and invest
Start with a few analysts that suit your style, then tune each one in plain English: your tickers, your rules, your schedule, your format.
Day trader
Know what's moving before the open, and hear about your levels the moment they break.
- Pre-market gaps, news and analyst changes on your watchlistBUILD YOUR OWN · 8:30 AM ET
- Watcher on your price levels and volumeBUILD YOUR OWN · EVERY MINUTE
- High IV Rank: stocks & commoditiesLIBRARY · 9:30 AM ET
Swing trader
Ride the trends and rotations, and test your own entries and exits.
- Sector rotation & breadthLIBRARY · FRIDAYS
- Trend signals across marketsLIBRARY · SUNDAYS
- Edge tests your setups on real historyEDGE · WHEN IT MATTERS
Options trader
See where volatility is rich or cheap, and what earnings are really priced for.
- Volatility risk premium: implied vs realizedLIBRARY · WEEKDAYS
- Earnings: implied vs actual movesLIBRARY · WEEKDAYS
- High IV Rank: stocks & commoditiesLIBRARY · WEEKDAYS
Long-term investor
Follow the big money and the macro backdrop, without reading every filing.
- Big funds: what they bought and soldLIBRARY · WEEKDAYS
- Macro regime monitorLIBRARY · MONDAYS
- Activist watch: new 13D stakesLIBRARY · WEEKDAYS
Build your own
Describe an analyst. It starts working immediately 24/7.
No code, no settings screens. Tell your agent in plain English what you want watched and when, and it sets up a new member of your team. Change it any time by asking.
- Any market, any scheduleStocks, ETFs, options, futures, economic data, SEC filings and news. Before the open, after the close, weekly, or a watcher that checks as often as every minute and only speaks up when your condition hits.
- Written for how you tradeYour tickers, your rules, what you care about, in the format you like. Short and sharp, or the full tables.
- Change it by asking“Add TSLA.” “Make it shorter.” “Only on Fridays.” Copy any Library agent and make it yours, or share yours with a friend through a link.
You
Every weekday at 8:30 AM, check my watchlist (NVDA, AMD, AVGO, MSFT, META) for pre-market gaps over 2%, news and analyst changes, and anything reporting this week. Keep it short, and only send it if there's something worth knowing.
H
Done. Your new analyst:
Want me to add a watcher too? I can check every minute during the session and tell you if any of them moves 3% on heavy volume.
☀️ Pre-market watchlist brief ● Active
- Runs
- Weekdays, 8:30 AM ET
- Watches
- NVDA, AMD, AVGO, MSFT, META
- Looks for
- Gaps over 2%, news, analyst changes, earnings this week
- Sends
- Only when something qualifies · app, email, Telegram
You
Yes, add it.
Illustrative conversation. Building agents requires a free account.
Choose · Agent Library · free with every account
Hire from the Agent Library
Ready-made analysts, each built on a strategy real hedge funds run: trend following, global macro, volatility, activism, earnings, IPOs, fund positioning, crypto derivatives. Subscribe in one tap. Each agent runs on live market data and official filings on its own schedule, and sends you a plain-English report with tables, only when there's something to report.
One market, read from every angle.
Each dot is something your analysts watch: a price level, an options chain, a filing, a headline. Lines are the links they check; they tighten and loosen as the market moves.
- Strong link
- Weak link
- Crossing over
- Worth a report
Pick a family or click a cluster to see its agents. Illustrative: agents research and report; they never tell you to buy or sell.
Follow the money
Congress trades: what politicians bought and sold
WEEKDAYS 7 PM ET
New STOCK Act disclosures from the House and Senate: who traded what, how much, whose account and how late it was disclosed.
Strategy: alternative data
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Follow the money
Big funds: what they bought and sold
WEEKDAYS 6:30 PM ET
About 30 well-known funds, from Berkshire to Bridgewater: Form 4 trades, 13D/13G stakes, ARK's daily trades and new quarterly 13Fs.
Strategy: filings research
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Follow the money
Activist watch: new 13D stakes
WEEKDAYS 7:30 PM ET
Every new Schedule 13D on SEC EDGAR, from any investor: who crossed 5% of a company, the stake, and what they want (board seats, a sale, a proxy fight).
Strategy: event-driven, activism
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Follow the money
Hedge fund consensus & crowding
SATURDAYS 10 AM ET · IN 13F SEASON
Across ~30 funds' latest 13Fs: the most widely held stocks, the highest-conviction bets, consensus buys and crowded exits. The "hedge fund hotel" view.
Strategy: positioning & crowding
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Macro & markets
Trend signals across markets
SUNDAYS 6 PM ET
The trend in 19 markets CTAs follow (indexes, Treasuries, oil, gold, copper, grains, currencies, Bitcoin): 1/3/12-month returns, trend strength and this week's flips.
Strategy: managed futures (CTA)
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Macro & markets
Macro regime monitor
MONDAYS 7 AM ET
Yields and the curve, real yields, breakevens, credit spreads, copper vs gold and the dollar, read as one growth/inflation regime. Plus the week's key data.
Strategy: global macro
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Macro & markets
Sector rotation & breadth
FRIDAYS 5 PM ET
Which of the 11 S&P sectors lead and lag over 1 week to 6 months, their trends, and breadth: equal-weight vs cap-weight, small vs large caps.
Strategy: equity long/short, sector rotation
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Volatility
Volatility risk premium: implied vs realized
WEEKDAYS 6:15 PM ET
Are options pricing more movement than the market delivers? Implied vs realized vol for index, sector and mega-cap names, plus the VIX term structure.
Strategy: volatility arbitrage
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Volatility
High IV Rank: stocks & commodities
WEEKDAYS 9:30 AM ET
The liquid stocks, ETFs and commodities whose implied volatility is highest vs its own past year, with IV Percentile, this week's change and earnings flagged.
Strategy: options volatility
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Earnings · options
Earnings: implied vs actual moves
WEEKDAYS 3:30 PM ET
For large companies reporting tonight or tomorrow morning: the move options are pricing next to how much the stock really moved after its last 8 reports.
Strategy: event-driven, earnings
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IPOs
Upcoming IPOs: the week ahead
MONDAYS 7:30 AM ET
IPOs expected to price this week on the NYSE and Nasdaq: price range, money raised, implied market cap, lock-up and the business. Plus how last week's new listings trade vs their IPO price.
Strategy: event-driven, new issues
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IPOs
IPO lock-up expirations: insider shares unlocking
SUNDAYS 5 PM ET
Recent IPOs whose lock-up ends in the next two weeks: how many insider shares unlock vs the shares sold in the IPO and normal daily volume, and where the stock trades vs its IPO price.
Strategy: event-driven, lock-up expirations
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Crypto · derivativesNew
Crypto leverage & crowding: funding, open interest, liquidations
DAILY 8 AM ET · ALERTS 8 PM
How leveraged and crowded BTC, ETH, SOL and HYPE are: perpetual funding, open interest, long/short and liquidations, plus the futures basis. Flags crowded longs and leverage flushes.
Strategy: derivatives positioning, crowding
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Crypto · optionsNew
Bitcoin options desk: volatility, skew and the term structure
WEEKDAYS 3:45 PM ET
What Bitcoin options price: DVOL and the expected daily move, 25-delta skew, the 30D/7D term ratio and implied vs realized vol, with IBIT and MSTR skew next to Deribit's.
Strategy: crypto volatility, options skew
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Crypto · equitiesNew
Bitcoin treasuries: Strategy (MSTR) mNAV and holdings
WEEKDAYS 5:30 PM ET
Strategy (MSTR) vs the bitcoin it holds: mNAV and its 1-year range, BTC held and cost, new buys, stock sold, buybacks and BTC sales from the 8-Ks, and how MSTR, IBIT, COIN and MARA trade vs BTC.
Strategy: relative value, premium to NAV
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Crypto · trendNew
Crypto trend & regime: momentum across 11 coins
SUNDAYS 4 PM ET
Which of 11 large coins are trending once volatility is accounted for, which trends flipped this week, ETH/BTC leadership, breadth and the macro backdrop: dollar, real yields, BTC vs the Nasdaq.
Strategy: time-series momentum, trend following
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Prediction marketsNew
Prediction-market leaders: steady winners and their bets
WEEKDAYS 8 AM ET
The Polymarket traders with the steadiest profits: their track record, what they hold now, where several agree, their new bets, and the closest Kalshi market.
Strategy: prediction markets, alternative data
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1 · Subscribe in one tapPick the agents you want. Official agents' reports don't use your credit.
2 · Reports come to youIn the app, by email and on Telegram. Quiet days stay quiet: no filler reports.
3 · Dig deeper or make it yoursAsk a follow-up on any report, or copy an agent and change it in plain English. Members can share their own agents too; we review each one before it's listed.
Every number is computed from live market data and public filings at run time. Research and education only: the agents show evidence and never tell you to buy or sell.
✦ EDGEAI coach by Hedge AI Labs
Edge, the coach on your team
The one analyst built entirely around you. Edge learns how you trade from the questions you ask in the lab, tests your ideas on real market data, and writes to you only when something actually matters to what you trade.
- Learns your styleYour tickers, your rules, your open questions. Each note shows what Edge has learned about you, so you can correct it.
- Tests your ideasEvery number is computed fresh from live and historical data in that run. Never from memory, never made up.
- Writes only when it mattersNews, earnings or a big move on names you follow, a major economic release, a setup that matches your own rules. At most one note a day, and quiet days stay quiet.
Sign up free and turn on Edge
Included with every account. Notes don't use your credit.
Notes arrive in the lab and by email. Tap 👍 or 👎, ask for notes less often, or stop Edge, all with one tap and no login. Research and education only: Edge shows evidence and never tells you to buy or sell.
✦ Edge · your AI market coachYour exit rule, tested on 352 trades
Why now: last week you asked whether scaling out of winners beats your 8% trailing stop.
Swing trades large-cap growthHolds 1–4 weeksBreakout entriesFollows NVDA, AMD, AVGO
I ran both exits on every breakout that matched your entry rules since 2018: 352 trades. Your 8% trailing stop averaged +9.4% per trade. Scaling out in thirds averaged +1.9%. Nearly all of the gap came from the 40 biggest winners, which scaling out cut short.
Growth of $10k, same 352 entries
🧪 Want me to…
- Re-run it with a 10% stop
- Check which names match your breakout rule today
👍 Useful👎 Not for meLess oftenStop Edge
Illustrative example of a note's format. Results are historical tests, not predictions or advice.
Between reports
Ask your team anything
Ask a question in plain English and get an answer computed from real market data (stocks, options chains, futures, news) with the code, the charts and the honest caveats. Not remembered, not estimated: actually run.
Volatility
“Compare NVDA's realized volatility to the Nasdaq-100's over 3 months, and find the best convexity trade between NVDA and QQQ options.”
→ relative-vol structure with the actual IV vs realized numbers
Event study
“Why did this stock move so much recently? Pull the news around its biggest daily moves this quarter and show how similar moves resolved over the next 2 weeks.”
→ news-tagged moves + a historical base rate
Market health
“Where are SPY and QQQ vs their 50/200-day averages, how does the current drawdown compare to history, and what's realized vol doing?”
→ trend, drawdown percentile, vol regime, this week's headlines
Earnings
“What's the options market pricing for this week's earnings move, and how did the last 8 earnings moves actually resolve?”
→ implied move vs realized history, labeled as base rates
NVDA vs Nasdaq-100 volatility — is NVDA's optionality mispriced?
A user asked to compare NVDA's volatility to the Nasdaq-100's and find the best convexity structure between NVDA and QQQ. Realized vol from daily returns; implied vol from live option chains. 3-month window.
NVDA vol / QQQ vol — delivered2.35×realized, 3-month
NVDA vol / QQQ vol — priced1.83×from implied vol
NVDA implied vs realizedbelowoptionality looks cheap
QQQ implied vs realizedaboveoptionality looks rich
The readNVDA's options were priced at 1.83× the Nasdaq-100's vol but NVDA delivered 2.35× — with its implied vol sitting below its own realized. The structure the numbers point to: own the cheap NVDA convexity, finance it with the richer QQQ side.
Honesty in the loopThe analyst flagged an implausible 0.07 correlation between NVDA and QQQ as a bar-alignment error (the two price series were a day apart), fixed the alignment, and re-ran — rather than reporting the wrong number.
Where it stoppedIt presented the mispricing as evidence, then declined to pitch it as a trade. Analysis, never advice.
Every figure here came from executed code on live market data — not the model's memory. Ask your own question →
Analysis is historical evidence about a market or a strategy — never personalized advice or a recommendation to trade. Illustrative example of output format.
Also included · Backtesting
Test a strategy before you trust it
Have an idea, a rule you trade by, or a TradingView Pine Script? Your agent turns it into exact rules and tests it on real historical data (stocks, futures and real option prices) the way a hedge fund research desk would. You get a clear verdict with the numbers, including when the answer is no.
- Replicate as written
- Apply real costs
- Split in-sample and out-of-sample
- Bootstrap significance
- Check by exact timeframe
- Compare to buy and hold
No parameter search, no cherry-picked windows, bad results reported as bad. When a rule holds up, an agent can watch for the setup live and tell you when it fires.
strategy("My Setup", overlay=true)
fastLen = input.int(10, "Fast SMA")
slowLen = input.int(30, "Slow SMA")
fast = ta.sma(close, fastLen)
slow = ta.sma(close, slowLen)
longCondition = ta.crossover(fast, slow)
exitCondition = ta.crossunder(fast, slow)
if (longCondition)
strategy.entry("Long", strategy.long)
if (exitCondition)
strategy.close("Long")
plot(fast, color=color.teal)
plot(slow, color=color.orange)
// ...paste the whole script — we translate it
Verdict: no edge — +41% vs buy-and-hold +58%, and 60% of profit was one month. The crossover reacts too slowly to cushion drawdowns.
Opening gap fade with relative-volume filter
Fade gaps larger than 0.8× 20-day ATR when opening volume is under 0.7× average. SPY, QQQ, IWM. Daily bars, Sep 2023 to Sep 2026.
Return, 3y (SPY)+61.2%buy and hold +58.4%
Max drawdown−10.4%buy and hold −17.2%
Sharpe1.28buy and hold 1.19
Win rate63%94 trades
Profit factor1.47net of 1 bp round trip
Beats buy and hold?Marginally on return, clearly on drawdown. 3 of 3 instruments.
StabilityPositive all 3 years. Bootstrap P(net > 0) 96.4%. OOS Sharpe 1.19 vs IS 1.40.
CaveatRoughly 40% of profit came from April to May 2025. Sample is 94 trades in one dominant regime.
Illustrative example of report format, not the result of an actual submitted strategy. Not investment advice.
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