Volatility, delta buckets, screeners, charts, daily reports, and trade ideas.
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IntraAlpha gives investors and AI agents a shared workspace for reports, market data, options context, research memory, community signals, and repeatable decision workflows.
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Universe, watchlists, company coverage, trade history, and thesis pages.
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Backtests, NTRA positions, real-time trades, performance, and agent workflows.
Explore our trades
Historical fillsRKT Equity Buy
Position increased 2.6% at $14.81, with portfolio weight changing from 14.40% to 15.12%.
- Position
- +2.63%
- Portfolio
- +0.72 pts
- Avg cost
- $15.05
- Last trade
- $14.06
- Performance
- −6.58%
Best Options Report
Issue2026-09-10
Expiration2026-10-23
Horizon45 DTE
Universe691
ViewCheap Calls
MRNA
- Call IV / upside HV
- 0.24×
- Put IV / downside HV
- 0.84×
- Call strike / mid
- $146.00 / $8.13
- Put strike / mid
- $129.00 / $10.88
- Efficiency
- 65
- Earnings
- Unknown
Investigate a company report
Historical · Issuer sourcesRKT Q1 2026 earnings
Rocket Companies · Q1 2026 · Historical issuer release
- Reporting period
- Q1 2026
- Release date
- 2026-05-07
- Revenue
- $2,941M
- Net income (loss)
- $297M
- Release
- Source checked (UTC)
- Numbers
- USD millions · Issuer precision
- Evidence
- Public release · No delivery receipt
Options are complicated. The read should be simple.
IntraAlpha turns option chains into clear delta buckets, risk ranges, expected moves, and volatility-richness signals. The result is readable by a trader and structured enough for an agent.
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The IntraAlpha toolkit.
Best Options Report
Find cheap calls, expensive puts, and other options candidates using explicit ranking criteria.
SPYExp 2026-10-02
Ranked opportunitiesEfficiency
01
SPYMost Efficient
99.402
MRNAMost Bullish
80.103
MRNACheap Calls
80.104
SNOWExpensive Puts
71.0Sample · Published BOR snapshot
Trade Chart
Inspect our actual executions in the price context around them.
RKT
Filled$14.812026-07-30
Daily closes · before fillBasis $15.05
Historical sample
Delta Buckets
Spot call and put pricing differences at comparable delta and expiration.
SPYExp 2026-10-16
Matched delta premiums0.20 → 0.80
UnitCall / put
Delta bucket →Solid call · dashed put
Sample · Representative delta bucket premiums
Market Heatmap
Spot where gains, losses, and market activity are concentrated.
Daily change · equal tiles
MSTX▼ -0.67%
GME▼ -0.93%
SPY▼ -1.20%
IBM▼ -1.97%
SNOW▼ -3.00%
MRNA▼ -4.30%
▲ 0 advancing▼ 6 declining
Historical sample
Opportunity Screener
Find candidates that meet your chosen market and options criteria.
Ranked by efficiency
01SPY99.4
02MRNA80.1
03SNOW71.0
04IBM68.7
Liquidity qualityHighest first →
Historical sample
Watchlist
Find noteworthy changes in the names you choose to follow.
Daily change
◇MSTX▼ -0.67%
◇GME▼ -0.93%
◇SPY▼ -1.20%
◇IBM▼ -1.97%
Historical sample
NTRA Portfolio
See where our capital is allocated and where exposure is concentrated.
NTRA2026-09-07
Position snapshotWeight
RKT20.66%
PL15.75%
LUNR10.10%
3 of 59 positions · concentration
Source · Published NTRA aggregate
Portfolio Performance
Measure how deployed capital performed after accounting for deposits and withdrawals.
Model portfolio2026-09-08
Time-weighted return▲ 5.1%
Max drawdown▼ 2.0%
2026-09-012026-09-08 · dashed benchmark
Sample · Representative portfolio · end-of-period flows
Equity Fill Alerts
Catch an equity trade we actually executed and its recorded position impact.
Position change◇ +2.6%
- Weight change
- +0.72 pts
- Portfolio weight
- 15.12%
Position change◇ −3.0%
- Weight change
- −0.25 pts
- Portfolio weight
- 2.04%
Screener
Matches5 / 56
Median IV : HV—
Cached universe686
As of2026-09-10
| Open | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MRNAMRNA | Unknown | $132.82 | — | -2.06% | +74.50 | $10.88 | $8.13 | 0.84× | 0.24× | — | — | 65 | — | → |
| ANFANF | Unknown | $148.40 | — | -2.42% | +50.30 | $8.30 | $6.55 | 1.83× | 0.52× | — | — | 65 | — | → |
| PLTRPLTR | Unknown | $165.88 | — | -2.15% | +16.80 | $9.13 | $6.92 | 1.65× | 0.57× | — | — | 94 | — | → |
| TEAMTEAM | Unknown | $180.64 | — | +1.63% | +47.80 | $13.85 | $9.15 | 1.93× | 0.58× | — | — | 61 | — | → |
| MSFTMSFT | Unknown | $488.67 | — | -0.61% | +16.00 | $13.43 | $12.38 | 1.91× | 0.58× | — | — | 85 | — | → |
NTRA Portfolio
Published weights · 2026-09-07- Equity names
- 58
- Top five
- 64.91%
- Cash
- 1.25%
- RKT
20.66% - PL
15.75% - LUNR
10.10% - RKLB
10.00% - NET
8.40% - UUUU
8.31% - RDW
3.54% - SOFI
3.00%
Allocation basis
- Source
- Published NTRA aggregate
- As of
- 2026-09-07T20:59:10.153799+00:00
- Captured UTC
- 2026-09-11T06:36:24.431371+00:00
- Option exposure names
- KOPN, LUNR, MIAX, NET, PL, RKT, SOFI, SPIR, UUUU, UWMC
- Weights
- Equity and cash value percentages · source rounding retained
Credit Lab
SPY · Retrospective OOS · Modeled- Sample sessions
- 50
- Modeled trades
- 64
- Modeled return
- 9.43%
- Maximum drawdown
- 1.94%
- Session modeled P&L · USD
- 15.9
- Modeled equity · USD
- 10,015.9
- Session drawdown
- 0%
- Entry basis
- simultaneous gate midpoint
- Fee per completed spread · USD
- 2.6
- Contracts per trade
- 1
- Policy frozen
- 2026-08-29T19:50:19.255472+00:00
- Scored
- 2026-08-29T19:52:02.735505+00:00
- Selection limitation
- The settings are overfit to the three selection cohorts. The named OOS50 membership and dates after this freeze may not alter the policy.
- Test classification
- Policy and membership were frozen before this single score. Dates were locally available but excluded from all three policy-selection cohorts; this is retrospective OOS, distinct from Monday-forward prospective evidence.
Frozen setup rules
- calls
- Agents: expected_move, flow_regime, trend · Minimum credit: 0.25 · Maximum width: 7 · Gates: 15, 60, 180, 300, 360
- puts
- Agents: news, ols, trend · Minimum credit: 0.1 · Maximum width: 10 · Gates: 15, 60, 180, 300, 360
SPY Historical Replay
2026-01-02 · Modeled retrospective OOS
- Session modeled P&L · USD
- 15.9
- Modeled equity · USD
- 10,015.9
- Drawdown
- 0%
- Fee / completed spread · USD
- 2.6
- Entry basis
- simultaneous gate midpoint
Evidence we can stand behind.
Reports, coverage updates, strategy explainers, and track-record views are archived so readers can inspect how the work changes over time.
Daily reports, issue history, watchlists, and market context preserved for review.
Public conversations and feedback summarized only when provenance is clear.
Documented mentions, outcomes, and review windows with live/backtest labels.
Company pages, thesis changes, source notes, and coverage updates that make the process inspectable.
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Programmatic API, MCP, custom-alert, and agent-integration access is in development. Quant checkout opens when these workflows are production-ready.
24 features included · Includes Pro access- API access (Planned)
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IntraAlpha, plainly
Questions people and agents ask.
Short, direct answers with links to the underlying product, methodology, and policy pages.
What is IntraAlpha?
IntraAlpha is a financial research and market-intelligence workspace for retail investors and the AI agents that assist them. It combines options reports, market context, company research, portfolio records, education, and repeatable analysis workflows.
What can retail investors use IntraAlpha for?
Retail investors can use IntraAlpha to review the Best Options Report, follow model-portfolio weights and performance, research covered companies, screen options, study market data, test credit-spread ideas, and learn options concepts.
Can AI agents use IntraAlpha?
Yes. IntraAlpha publishes agent-readable documentation and offers beta alerts and agent-assisted market research. Direct customer API and MCP access are in development. The public agent index identifies useful pages and the meaning of each surface.
Does IntraAlpha provide investment advice?
No. IntraAlpha provides financial information, research tools, education, and documented analysis. It does not provide personalized investment advice, and options involve substantial risk.
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