u/Downtown_Extension_6

Semiconductors post-earnings: ran a multi-agent analysis across NVDA, MPWR, AVGO, QCOM, AEHR — here's what the data says

Ran a full technical + fundamental + sentiment analysis on the Semiconductors sector. Here's what stands out:

NVDA — strongest setup in the sector

  • VERY_EXPENSIVE at 43.8x PE but 95.6% earnings growth + 73.2% revenue growth justify the premium
  • Momentum score 8.5/10 — MACD bullish, RSI 65.86 (room to run)
  • Reddit sentiment 0.72 — bullish consensus
  • Entry zone: $199.14–$202.17 | Target: $214.11 | Stop: $193.17
  • Current price $215.20 sits 6.4% above zone — wait for pullback

MPWR — exceptional fundamentals, extreme valuation

  • 114.1x PE and 88.8x EV/EBITDA — you're paying for perfection
  • But: 39.5% earnings growth, 26.1% revenue growth, 0.005 debt-to-equity (fortress)
  • ADX 40.20, SMA20 > SMA50 > SMA200 — very strong trend confirmed
  • Entry zone: $1505.59–$1584.83 | Target: $1675.17 | Stop: $1460.42
  • Current price $1600.84 — 1% above zone, pullback entry setup

AVGO — monitor, not entry

  • Composite 84.7 but Bearish MACD with negative histogram contradicts bullish narrative
  • 84.0x PE and 0.83 debt-to-equity make this hard to justify at current levels
  • Strong margins (76.7% gross, 36.6% net) but need MACD confirmation before entry
  • Watch for retracement to $425.70 with RSI below 60

QCOM — extreme overbought, stay away

  • RSI 85.85 — 15+ points above overbought threshold
  • Current price 28.7% above entry zone of $156.30
  • Negative sentiment (-0.15) on top of overbought technicals = material downside risk
  • Strong fundamentals (22.3% net margin, $12.8B FCF) but declining revenue (-3.5% YoY) doesn't support chasing here

AEHR — avoid

  • Revenue down 43.7% YoY, net margin -25.2%, burning cash at -$12.4M FCF
  • 67.6x PS ratio on a loss-making company = pure speculation
  • Positive sentiment (0.68) and decent momentum don't override fundamental deterioration

Key takeaway: sector is broadly overbought post-earnings. Only 2 of 5 names have actionable entries, both requiring pullbacks. 60% cash reserve is the right call here.

Methodology: composite scoring across 13+ technical indicators, fundamental metrics, and Reddit sentiment. Allocations are deterministic, not gut feel.

Full report generated by ProspectAI (open source): prospect-ai.moisesprat.dev

reddit.com
u/Downtown_Extension_6 — 13 days ago

Semiconductors post-earnings: ran a multi-agent analysis across NVDA, MPWR, AVGO, QCOM, AEHR — here's what the data says

Ran a full technical + fundamental + sentiment analysis on the Semiconductors sector. Here's what stands out:

NVDA — strongest setup in the sector

  • VERY_EXPENSIVE at 43.8x PE but 95.6% earnings growth + 73.2% revenue growth justify the premium
  • Momentum score 8.5/10 — MACD bullish, RSI 65.86 (room to run)
  • Reddit sentiment 0.72 — bullish consensus
  • Entry zone: $199.14–$202.17 | Target: $214.11 | Stop: $193.17
  • Current price $215.20 sits 6.4% above zone — wait for pullback

MPWR — exceptional fundamentals, extreme valuation

  • 114.1x PE and 88.8x EV/EBITDA — you're paying for perfection
  • But: 39.5% earnings growth, 26.1% revenue growth, 0.005 debt-to-equity (fortress)
  • ADX 40.20, SMA20 > SMA50 > SMA200 — very strong trend confirmed
  • Entry zone: $1505.59–$1584.83 | Target: $1675.17 | Stop: $1460.42
  • Current price $1600.84 — 1% above zone, pullback entry setup

AVGO — monitor, not entry

  • Composite 84.7 but Bearish MACD with negative histogram contradicts bullish narrative
  • 84.0x PE and 0.83 debt-to-equity make this hard to justify at current levels
  • Strong margins (76.7% gross, 36.6% net) but need MACD confirmation before entry
  • Watch for retracement to $425.70 with RSI below 60

QCOM — extreme overbought, stay away

  • RSI 85.85 — 15+ points above overbought threshold
  • Current price 28.7% above entry zone of $156.30
  • Negative sentiment (-0.15) on top of overbought technicals = material downside risk
  • Strong fundamentals (22.3% net margin, $12.8B FCF) but declining revenue (-3.5% YoY) doesn't support chasing here

AEHR — avoid

  • Revenue down 43.7% YoY, net margin -25.2%, burning cash at -$12.4M FCF
  • 67.6x PS ratio on a loss-making company = pure speculation
  • Positive sentiment (0.68) and decent momentum don't override fundamental deterioration

Key takeaway: sector is broadly overbought post-earnings. Only 2 of 5 names have actionable entries, both requiring pullbacks. 60% cash reserve is the right call here.

Methodology: composite scoring across 13+ technical indicators, fundamental metrics, and Reddit sentiment. Allocations are deterministic, not gut feel.

Full report generated by ProspectAI (open source): prospect-ai.moisesprat.dev

reddit.com
u/Downtown_Extension_6 — 13 days ago

Ran a full technical + fundamental + sentiment analysis on the Energy sector this week. Here's what stands out:

VLO — strongest setup in the sector
• Fair valuation at 17.3x PE (rare in energy right now)
• Momentum score 8.8/10 — MACD bullish, RSI 47.8 (room to run)
• Reddit sentiment 0.78 — highest in the sector
• Entry zone: $228–$236 | Target: $250 | Stop: $221.85
• Brent at $138 directly benefits refining margins

CVX — interesting but expensive
• 32.3x PE with 44.4% earnings decline YoY is hard to justify
• Highest dividend yield in the group (3.70%) but payout
ratio >120% — not sustainable
• Only viable with a two-tranche entry to manage overpayment risk

XOM — fortress balance sheet, cyclical headwinds
• $23.61B free cash flow, debt-to-equity 0.18
• But 43.4% earnings decline YoY and 25x PE limit upside
• Valid entry $147–$150, conservative position sizing

WMB — wait
• Trading above entry zone, debt-to-equity 2.0,
current ratio 0.83
• $899M FCF trying to support $2.1B dividend — math doesn't work
• Only interesting below $72.27

COP — avoid for now
• Technical breakdown, MACD bearish, trading below entry zone
• -5.3% revenue, -20.2% earnings YoY
• Wait for stabilization signals

---

Methodology: composite scoring across technical indicators
(13+), fundamental metrics, and Reddit sentiment. Allocations
are deterministic, not gut feel.

Full report generated by ProspectAI (open source):
prospect-ai.moisesprat.dev

reddit.com
u/Downtown_Extension_6 — 13 days ago

Built ProspectAI, an open-source multi-agent system that runs a full investment analysis pipeline autonomously. Here's what it output for the Energy sector today (May 6):

PORTFOLIO (85% deployed, 15% cash reserve):
• VLO — 39% | LONG-BUY | Entry: $228–$236 | Target: $250
• CVX — 28% | SCALED-ENTRY | Two-tranche approach
• XOM — 18% | LONG-BUY | Entry: $147–$150 | Target: $159
• WMB — 0% reserved (15%) | WAIT-FOR-ENTRY below $72.27
• COP — MONITOR | Technical breakdown, not ready

Why VLO leads: highest composite score (88.9), sentiment 0.78, momentum score 8.8, fair valuation at 17.3x PE — rare combo in energy right now with Brent at $138.

Interesting output: the pipeline flagged CVX's 44.4% earnings decline and 32.3x PE as a risk, so instead of a normal buy it generated a two-tranche scaled entry to manage overpayment risk
automatically. That kind of nuance from an AI agent surprised me.

The pipeline runs: Reddit sentiment → Technical analysis (13+
indicators) → Fundamental analysis → Draft strategy → Adversarial
critic → Final strategy. The critic agent rejected the first draft
and forced a revision before output.

Open source, free to try:
👉 prospect-ai.moisesprat.dev

Not financial advice — built to demo agentic AI architecture.

u/Downtown_Extension_6 — 15 days ago

I’m a solo founder building RoadmapSnap — an AI-powered PMO governance platform. Happy to share where it’s at and get some honest feedback from people who think about product and monetization.

The problem I’m solving is that Enterprise PMOs are drowning in execution tools — Jira, MS Project, Smartsheet. None of them surface cross-program governance intelligence: dependency health, risk signals, or executive-ready status at the portfolio level. Leaders spend hours manually assembling reports that should be automatic.

RoadmapSnap Lite is live, MIT-licensed, and free. It’s a client-side dashboard (no backend, no database) that gives you:

• Visual Gantt roadmap with milestone tracking
• KPI dashboard with auto-calculated status
• Dependency graph with blocking relationship visualization
• Risk indicators and filtering
• Export to PNG, CSV, JSON

You configure it via a single config.js file. It’s been useful for real enterprise programs — but it’s clearly a power-user tool right now.

👉 Live url: roadmapsnapweb

What’s in progress — the SaaS layer

I’m now building the commercial SaaS tier on top of this foundation. The direction I’m exploring:

• OKR definition and tracking — linking strategic objectives to program-level delivery
• Weekly status report generation — AI-drafted, stakeholder-ready, based on actual program data
• Predictive risk scoring — anomaly detection before issues escalate
• Cross-program dependency intelligence — portfolio-level health view
• Jira integration — pull execution data in, surface governance insight out

What I’m genuinely unsure about

This is where I’d love your input:

  1. For those of you in enterprise or mid-market SaaS — would OKR tracking inside a PMO tool feel valuable, or is that already solved well enough by tools like Lattice or Notion?
  2. Is AI-generated weekly status reports a feature someone pays for, or a nice-to-have that loses to “I’ll just write it myself”?
  3. Open-core model (free OSS Lite → paid SaaS) — does this actually build trust with enterprise buyers in your experience, or does “free tier exists” undermine willingness to pay?

Not looking to pitch anyone — genuinely curious what resonates and what sounds like noise.

u/Downtown_Extension_6 — 18 days ago