Beginner-friendly radar for market news, filings, political trades, major companies, and macro context
Type a ticker and get the same beginner-friendly model logic used by Daily ideas. Powered by a Cloudflare Worker API when deployed.
Market-sensitive themes detected: ai, defense. Treat company mentions as watchlist triggers, not automatic trade signals.
| Ticker | Company | Evidence | Open |
|---|---|---|---|
| AAPL | Apple | … free speech to text transcription apps for iOS covers everything from the new Rev platform to Apple Voice Control and Dictanote. Nov 29, 2024 How to Test Speech Recognition Engine (ASR) Accuracy… | Yahoo ↗ |
| AMZN | Amazon | …ines & APIs There are three players when it comes to speech-to-text ASR's: Rev AI, Google, and Amazon. See how they compare in accuracy, price, and features. Apr 18, 2024 The 5 Best Open Source Sp… | Yahoo ↗ |
| GOOGL | Alphabet | …ognition Engines & APIs There are three players when it comes to speech-to-text ASR's: Rev AI, Google, and Amazon. See how they compare in accuracy, price, and features. Apr 18, 2024 The 5 Best Op… | Yahoo ↗ |
| MSFT | Microsoft | …choose between using human transcriptionists or automated transcriptions with Rev. Jun 4, 2024 Microsoft Azure Speech Recognition vs. Rev AI Speech to Text API Comparison of Microsoft Azure Cognitive… | Yahoo ↗ |
| MSTR | Strategy | …dustry insights Brett Pavony | Mar 19, 2025 Legal 4 Ways AI Tools Can Help Optimize Legal Case Strategy Explore how AI tools enhance legal case strategy through predictive analytics, contract redlin… | Yahoo ↗ |
This estimates how each mentioned stock may react to this specific post/speech using tone, sentiment, policy keywords, mention strength, source visibility, cached daily model scores, sector/filing context, and event-risk logic. Numbers are percentage scenarios, not guarantees.
Bullish headline pressure Confidence: Low-Medium Tone: Supportive / potentially positive
The event model sees bullish headline pressure for AAPL. Near-term reaction is modest upside bias because the detected tone is 'Supportive / potentially positive' and the item has a visibility score from Rev Transcript Library. For 1 month, the base case is +1.1%, but the range is wide because headline moves can fade if no real policy, earnings, or filing follow-through appears.
| Window | Bear | Base | Bull | Expected range |
|---|---|---|---|---|
| 1-3D | -0.37461344156948595 | +2.5% | 5.276778168780363 | -0.4% to +5.3% |
| 1W | -2.0 | +2.0% | 6.010862049536172 | -2.0% to +6.0% |
| 1M | -4.348095299982991 | +1.1% | 6.554069427227886 | -4.3% to +6.6% |
| 3M | -6.5196710654353724 | +0.7% | 7.892277189054417 | -6.5% to +7.9% |
| 6M | -8.064236199319106 | +0.4% | 8.946625850217066 | -8.1% to +8.9% |
| 12M | -9.593203536343536 | +0.2% | 10.083420009064623 | -9.6% to +10.1% |
Bullish headline pressure Confidence: Low-Medium Tone: Supportive / potentially positive
The event model sees bullish headline pressure for AMZN. Near-term reaction is modest upside bias because the detected tone is 'Supportive / potentially positive' and the item has a visibility score from Rev Transcript Library. For 1 month, the base case is +1.1%, but the range is wide because headline moves can fade if no real policy, earnings, or filing follow-through appears.
| Window | Bear | Base | Bull | Expected range |
|---|---|---|---|---|
| 1-3D | -0.36216778610876155 | +2.5% | 5.334028183899696 | -0.4% to +5.3% |
| 1W | -2.0000000000000004 | +2.0% | 6.067885780010766 | -2.0% to +6.1% |
| 1M | -4.367261609392506 | +1.1% | 6.604598788398428 | -4.4% to +6.6% |
| 3M | -6.54127672331519 | +0.7% | 7.933397634696651 | -6.5% to +7.9% |
| 6M | -8.086475454204198 | +0.4% | 8.981410325806568 | -8.1% to +9.0% |
| 12M | -9.615854629282053 | +0.2% | 10.113040669061148 | -9.6% to +10.1% |
Bullish headline pressure Confidence: Low-Medium Tone: Supportive / potentially positive
The event model sees bullish headline pressure for GOOGL. Near-term reaction is modest upside bias because the detected tone is 'Supportive / potentially positive' and the item has a visibility score from Rev Transcript Library. For 1 month, the base case is +1.1%, but the range is wide because headline moves can fade if no real policy, earnings, or filing follow-through appears.
| Window | Bear | Base | Bull | Expected range |
|---|---|---|---|---|
| 1-3D | -0.36216778610876155 | +2.5% | 5.334028183899696 | -0.4% to +5.3% |
| 1W | -2.0000000000000004 | +2.0% | 6.067885780010766 | -2.0% to +6.1% |
| 1M | -4.367261609392506 | +1.1% | 6.604598788398428 | -4.4% to +6.6% |
| 3M | -6.54127672331519 | +0.7% | 7.933397634696651 | -6.5% to +7.9% |
| 6M | -8.086475454204198 | +0.4% | 8.981410325806568 | -8.1% to +9.0% |
| 12M | -9.615854629282053 | +0.2% | 10.113040669061148 | -9.6% to +10.1% |
Bullish headline pressure Confidence: Medium Tone: Supportive / potentially positive
The event model sees bullish headline pressure for MSFT. Near-term reaction is modest upside bias because the detected tone is 'Supportive / potentially positive' and the item has a visibility score from Rev Transcript Library. For 1 month, the base case is +1.9%, but the range is wide because headline moves can fade if no real policy, earnings, or filing follow-through appears.
| Window | Bear | Base | Bull | Expected range |
|---|---|---|---|---|
| 1-3D | -0.25800111944209503 | +2.8% | 5.813194850566363 | -0.3% to +5.8% |
| 1W | -1.7000000000000002 | +2.6% | 6.845158507283492 | -1.7% to +6.8% |
| 1M | -3.831678276059174 | +1.9% | 7.723515455065094 | -3.8% to +7.7% |
| 3M | -4.274110056648523 | +3.2% | 10.725564301363319 | -4.3% to +10.7% |
| 6M | -2.5326118178405626 | +6.2% | 15.01254668944293 | -2.5% to +15.0% |
| 12M | 1.894562037384615 | +12.0% | 22.060957335727814 | +1.9% to +22.1% |
Bullish headline pressure Confidence: Low-Medium Tone: Supportive / potentially positive
The event model sees bullish headline pressure for MSTR. Near-term reaction is modest upside bias because the detected tone is 'Supportive / potentially positive' and the item has a visibility score from Rev Transcript Library. For 1 month, the base case is +1.2%, but the range is wide because headline moves can fade if no real policy, earnings, or filing follow-through appears.
| Window | Bear | Base | Bull | Expected range |
|---|---|---|---|---|
| 1-3D | -0.3329994565545671 | +2.6% | 5.468202499848992 | -0.3% to +5.5% |
| 1W | -2.0 | +2.1% | 6.201529762695438 | -2.0% to +6.2% |
| 1M | -4.412180836905967 | +1.2% | 6.723022206388458 | -4.4% to +6.7% |
| 3M | -6.5919129434212715 | +0.7% | 8.02976979554371 | -6.6% to +8.0% |
| 6M | -8.13859660745122 | +0.5% | 9.062933155244217 | -8.1% to +9.1% |
| 12M | -9.668940989070688 | +0.3% | 10.18246129340013 | -9.7% to +10.2% |
| Sector | ETF | Evidence |
|---|---|---|
| AI / Semiconductors | SMH | …ity. Learn more about the biggest trends shaping the industry. Sarah Hollenbeck | May 27, 2026 Artificial Intelligence 5 Challenges For Law Enforcement + Their Tech Solutions Click to read how Rev breaks down five… |
| Banks / Financials | XLF | …nd Dictanote. Nov 29, 2024 How to Test Speech Recognition Engine (ASR) Accuracy and Word Error Rates Find out how to use Rev's free developer tools to test speech recognition accuracy and word er… |
| Defense / Aerospace | ITA | …ordings. See how Rev keeps your sensitive data secure. Luke Daugherty | Dec 11, 2025 Legal DUI Defense Strategies + Using AI to Investigate There are a variety of DUI defenses available for defense… |
| Media / Social Platforms | XLC | …ognition Engines & APIs There are three players when it comes to speech-to-text ASR's: Rev AI, Google, and Amazon. See how they compare in accuracy, price, and features. Apr 18, 2024 The 5 Best Op… |
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