Market Analysis & Research

🟢 Beginner friendly, read-only. No funds move.

Ask about any market and the agent activates the right combination of data providers, on-chain analytics, equity fundamentals, and macro indicators to give you a structured view. Coverage spans US stocks, pre-IPO and private companies, commodities, indices, FX, crypto, and other digital assets (DeFi, RWA, NFT). One agent, one interface, every asset class.

💡 New to the indicators? If "MVRV", "LTH P&L", or "funding rate" is unfamiliar, the Glossary has 1-line definitions for everything here.

What you can do

• US equity research: fundamentals, earnings, P/E and PEG, peer comparison, sector rotation (NVDA, AAPL, TSLA, AVGO, AMD, …)
• Pre-IPO and private companies: secondary-market valuations, funding rounds, IPO-readiness signals, and access mechanics (tender offers, SPVs, EquityZen / Forge / Hiive). Research-driven, sourced from press and secondary markets. See Deep Research for full reports
• Cross-market overview: sentiment across equities, crypto, commodities, and FX; fear & greed; trending sectors
• Commodity & FX: gold, oil, agricultural commodities, major FX pairs, rate differentials
• Index & ETF analysis: S&P 500, Nasdaq, sector and thematic ETFs, composition, weights, macro sensitivity
• Crypto deep-dive: on-chain flows, holder distribution, CEX/DEX activity, protocol revenue
• Macro analysis: BTC MVRV bands, LTH P&L ratio, Fed rate impact, DXY correlation, CPI trends
• DeFi analysis: TVL, yields, protocol comparisons, staking and lending opportunities
• Derivatives data: funding rates, open interest, liquidations, options max pain, ETF flows
• Crypto-TradFi crossover: MSTR NAV/mNAV, mining companies, crypto ETF flows, tokenized stocks

Example prompts

what's the market looking like today?
analyze NVDA — valuation, growth, and competitive position
is the AI capex story still favoring AVGO and AMD into next earnings?
show me S&P 500 sector performance and which look overvalued
what's the latest secondary-market valuation for OpenAI, and how do I get access?
compare the top pre-IPO AI chip names (Groq, Tenstorrent, Etched) on funding and traction
is SpaceX's latest tender-offer price a premium to its last round?
compare gold vs BTC as an inflation hedge this year
analyze MicroStrategy's BTC treasury premium (NAV/mNAV)
how does a strong dollar (DXY > 106) hit BTC, gold, and SPX?

Example output — US equity

Prompt: analyze NVDA — valuation, growth, competitive position

Agent response (abbreviated):

NVDA Analysis ($142.50, +0.8% today, mkt cap $3.49T)

Valuation

Metric	NVDA	Sector median	Peer median (AMD, INTC, AVGO)
P/E (trailing)	62	28	42
P/S	34	6	11
P/E (forward)	38	22	27
PEG ratio	1.1	1.4	1.8

Growth (YoY, latest quarter)

• Revenue: +122% ($35.08B)
• Data center segment: +154% (88% of total)
• Gross margin: 75.0% (up from 72.4%)
• EPS: +103%

Competitive position

• Data center GPU share: ~92% (vs. AMD Instinct ~6%, Intel Gaudi ~1%)
• CUDA moat: 20+ years, 4M+ developers, hard to replicate in <5y
• H200 → B100 → B200 roadmap fully booked through 2026
• Biggest risk: hyperscalers developing custom silicon (Google TPU, AMZN Trainium, MSFT Maia) — could erode share by 2027-28

Synthesis: priced for perfection but PEG ratio (1.1) is actually reasonable given growth rate. Primary downside risk is customer concentration — 4 hyperscalers are ~50% of data center revenue. Watch capex guidance from MSFT/META/GOOG next earnings.

Example output — pre-IPO AI labs

Prompt: compare the top pre-IPO AI foundation labs — valuations, raises, and IPO readiness

Agent response (abbreviated):

Pre-IPO AI foundation labs (private companies; figures are illustrative and drawn from press and secondary-market reports, not audited filings)

Company	Last reported raise	Secondary-market signal	IPO readiness
OpenAI	mega-round, multi-$100B range	active tender offers, strong demand	no public filing; revenue scaling fast
Anthropic	large raise, tens of $B	limited secondary supply	no filing; enterprise growth
xAI	recent multi-$B raise	thin secondary	early; tightly held
Mistral	EU-anchored round	scarce	early; European anchor

How to get exposure

• Secondary platforms (EquityZen, Forge, Hiive) and SPVs — accreditation required, minimums apply.
• Employee tender offers when a company opens a window.
• Caveat: marks go stale between rounds, liquidity is thin, and allocations are not guaranteed.

What moves the next mark: a new primary round, a marquee customer or model release, or concrete IPO-readiness signals (CFO hire, audited financials, S-1 chatter).

Synthesis: foundation-lab valuations are set by primary rounds, not a live order book, so treat secondary quotes as a range. For most investors the cleaner AI exposure is public proxies (NVDA, AVGO, MSFT) plus a small, liquidity-aware secondary allocation. Want me to pull one name's full round history and current access routes?

Example output — crypto token

Prompt: analyze ETH — on-chain, fundamentals, and sentiment

Agent response (abbreviated):

ETH Analysis (spot: $3,280, 24h: +1.8%)

1. On-chain (past 30 days)

• Active addresses: 510k/day avg (stable)
• Exchange reserves: -0.4% (mild outflow → accumulation signal)
• LTH supply: +1.2% of float (conviction rising)
• Staked ETH: 34.2M (~28% of supply; unstaking queue quiet)

2. Fundamentals

• Fee revenue (30d): $42M (Q3 avg $38M → slight uptick)
• L2 settlement volume: $24B/mo (+8% QoQ)
• ETH/BTC ratio: 0.051 (range-bound since Sep)

3. Sentiment

• Funding rate: +0.012% (neutral-positive, not crowded)
• Open interest: $9.2B (flat over 7d)
• Social volume: Z-score +0.3 (mildly above baseline)

Synthesis: constructive at current levels. On-chain shows mild accumulation without speculative froth. Watch the $3,350 resistance — a daily close above would likely trigger a momentum leg.

Glossary: LTH, funding rate, open interest, Z-score.

Example output — commodity + macro

Prompt: analyze gold — macro setup, technicals, and positioning

Agent response (abbreviated):

Gold Analysis (XAU/USD: $2,340, +18% YTD)

1. Macro setup

• Real yield (10y TIPS): -0.12% (falling; historically the strongest driver of gold)
• DXY: 103.4 (softening over 30d; inverse correlation -0.64)
• Central bank buying: 290t in Q1 (well above 10-year avg of 140t/quarter)
• CPI surprises: 3 consecutive months below consensus — inflation cooling but still above target

2. Technicals

• RSI (daily): 61 — positive momentum, not yet overbought
• MACD: bullish crossover 8d ago, histogram widening
• Key resistance: $2,380 (recent ATH); support: $2,270 (50d MA)

3. Positioning (CFTC COT)

• Net speculative longs: 82nd percentile — moderately crowded but not at extremes
• ETF flows (GLD + IAU): +$2.1B over 30d (accumulation trend intact)

Synthesis: macro and technical align. Real yield decline is the primary driver; DXY softness adds a tailwind. A weekly close above $2,380 would likely open a run toward $2,500. The main risk is a hot CPI print unwinding the real-yield thesis.

Example output — cross-asset: strong dollar impact

Prompt: how does a strong dollar (DXY > 106) affect my portfolio of BTC, gold, and SPX?

Agent response (abbreviated):

High-DXY regime analysis (DXY > 106; last 3 episodes: Aug 2022, Oct 2022, Sep 2023)

Asset	Median return in 30d window	Notes
BTC	-12%	Risk-off + USD denominated; crypto most sensitive
Gold (XAU)	-4%	Inverse DXY but partially offset by safe-haven bid
SPX	-3%	USD headwind for multinationals (~40% of S&P revenue is foreign)
NDX	-5%	Growth more rate-sensitive; strong USD tightens financial conditions

Why each moves:

• BTC: strong USD signals tighter financial conditions; crypto is the highest-beta risk asset in the set.
• Gold: direct mechanical pressure from USD pricing, but central bank demand creates a floor.
• SPX: earnings translation headwind; every 10-point DXY rise cuts ~2% from S&P EPS for large-caps.

Suggested hedges at DXY 106+:

1. Trim BTC and high-beta alts; hold or add stablecoins.
2. Rotate SPX toward domestic revenue names (XLP, XLV, XLU) — less FX drag.
3. Hold gold rather than adding; DXY above 108 historically breaks the gold bid.

Want me to run this scenario for your actual portfolio allocation?

Skills and tools involved

Pre-IPO and private-company research runs through Deep Research (web search plus knowledge base), since private names are not covered by structured market-data feeds.

Scenarios: SCENARIO_MARKET_ANALYSIS · SCENARIO_TOKEN_ANALYSIS · SCENARIO_DEFI_ANALYSIS · SCENARIO_STOCK_ANALYSIS · composable SCENE_STOCKS_VALUATION · SCENE_CRYPTO_TREASURY_VALUATION · SCENE_ETF_INDEX_VALUATION