117 analyses, grouped by the AI scientist that runs each one, each with a page of its own. Where a written method is published, on 115 of them, the page states how the analysis is computed, the theory it rests on and what that theory cannot support. Readable without an account.
Examines price, volume, momentum, trend, volatility, breadth, correlation, and session data across crypto and equities. ATLAS describes technical conditions and relative strength without selecting entries or exits.
Identify correlation clusters among the chosen assets
Identify each tracked coin's 20-day support and resistance and contextualize its move against a combined BTC/ETH benchmark bias
Detect earnings-driven price gaps and classify as pre-earnings risk, volume-confirmed gap up, breakdown risk, or unconfirmed material gap
Rank each tracked crypto asset's 30-day strength against Bitcoin and Ethereum to surface leaders and laggards, standing in for ecosystem-category comparison until that data is available
Compute advance/decline ratio and % above SMA-20/50/200 across the full US equity market when available, or your tracked stocks otherwise
Flag equities approaching an ex-dividend date and estimate the technical price impact
Identify key SPY/QQQ/IWM support and resistance levels and contextualize individual equity moves
Test whether a new indicator would have improved past decisions
Describe where price sits within its most recent intraday range
Classify market internals across tracked assets as expanding, contracting, or mixed
Classify the market regime from trend, return and volatility shares across the analysed assets
Describe each asset's current momentum conditions
Score daily / weekly / monthly trend alignment per asset
Rank tracked assets by 30-day relative strength vs benchmark
Rank each tracked equity's return vs its GICS sector ETF over 1-month and 3-month windows
Read daily candle behavior (and true premarket/regular/after-hours volume when available) to describe session-specific volume behavior
Identify key price levels and trend direction
Classify the current volatility regime of each asset
Classify each asset's volume regime as accumulation, distribution, or neutral
Examines the derivatives market: implied-volatility surfaces and term structure, put/call skew, estimated dealer gamma, options flow, perpetual funding regimes, open-interest positioning, liquidation clustering, basis and carry, and the premium implied volatility carries over realized. DELTA describes observed derivatives pricing and positioning, and does not tailor conclusions to user holdings or identify a transaction.
Measure each coin's perpetual basis against its index and place its annualized funding carry in its funding band
Read what options and the stock did around a report that has just come out, and compare the options-priced move for an upcoming report with the stock's own average earnings-day move, stating the horizon and what was compared
Build implied volatility surface for tracked equities; identify IV rank vs 1-year history
Monitor unusual options activity for tracked equities (large call/put prints by notional value)
Compute stock-specific equity put/call ratios; track 10-day trend; classify sentiment regime
Estimate dealer gamma exposure for tracked equities; classify long/short gamma and pinning/amplification implications
Describe crypto options market structure and the volatility regime it implies
Detect crowded long/short positioning across major perp exchanges
Assess implied volatility structure across crypto options
Estimate liquidation cluster density above and below current price to flag price amplification zones
Classify each asset from OI vs price matrix as long buildup, short buildup, squeeze risk, or unwind
Classify per-coin perpetual liquidity depth as thin, adequate, or deep, based on open interest across venues
Compute 25-delta put/call skew at 7-day and 30-day tenors and classify options market regime
Detect large-trade activity in crypto options markets
Monitor VIX level, VIX term structure (VIX vs VIX3M), and VVIX; classify volatility regime
Derive VRP (IV minus realized vol) and classify whether options are rich, fair, or cheap
Examines tokenomics, protocol revenue, development and governance activity, equity financials, earnings quality, estimates, valuation, and macro regimes. FELIX organizes fundamental evidence without rating an asset for purchase or sale.
Aggregate analyst rating, price target, and estimate revision trends into a consensus score
Classify whether the covered assets are trading with, or independent of, Bitcoin
Assess debt-to-equity, current ratio, and interest coverage; classify balance sheet risk
Score free-cash-flow-to-net-income conversion and operating cash flow level
Evaluate competitive defensibility
Monitor HYG/LQD credit spreads, IG vs HY spread differential, and TLT; classify credit market stress
Compare this run's other completed equity analyses for the same ticker and call out where they agree or disagree
Estimate treasury runway, native-token concentration, and 60%-price-decline vulnerability
Evaluate project development momentum
Compute trailing dividend yield and classify it as no-dividend, payer, or yield of 3% or more
Pre-earnings brief: the upcoming report date, the quarterly guidance in the company's latest earnings release, and the same quarter a year earlier
Score earnings quality from the latest reported surprise, net margin, and free cash flow
Score overall fundamental health from growth, margins, cash flow, leverage, and returns
Track relative strength of S&P 500 GICS sector ETFs over 1-week and 1-month; classify risk-on/defensive posture
Track direction and magnitude of 30-day consensus EPS/revenue estimate revisions
Monitor Fed funds rate, dot plot, CPI/PCE prints, and Fed speech sentiment; classify monetary policy regime
Read each fund's expense ratios, net assets, structure, premium or discount to NAV and flows between filings from the fund's own SEC filings
Score crypto assets on fundamental quality
Review recent on-chain proposals and classify approval reliability as reliable, moderate, or poor
Assess governance risk level based on active proposals and economic keyword matches
Compute Nakamoto coefficient and top-10 voter share per protocol to flag dangerous concentration
Compare the guidance in each company's latest earnings release with its previous one: raised, lowered, narrowed, widened, repeated or withdrawn
Classify the macro regime for each asset class the run covers, equity and crypto, by a published rule with stated cutoffs
Classify macro liquidity environment as expanding, contracting, or stable
Score gross, operating, and net margin levels against healthy thresholds
Assess which narratives are strengthening / weakening
Evaluate fundamental valuation through protocol revenue
Compute real yield and subsidy dependency to identify organic vs emission-driven growth
Track stablecoin supply growth to classify on-chain liquidity as flush, neutral, or tight
Estimate token dilution risk from locked (non-circulating) supply
Score token design across emission, insider concentration, demand sinks, market rank, and liquidity
Flag equities trading at extreme valuation discounts or premiums vs sector peers
Score FDV/TVL, FDV/fees, and market-cap/revenue multiples against fixed valuation bands
Compares enabled scientist findings, maps agreement and conflict, and classifies broad market regimes. LYRA summarizes research relationships without evaluating a user's decisions, thesis, or performance.
Map where the scientists agree, disagree, and leave questions open across the run: per-asset agreement and disagreement, evidence age, and unresolved questions
Classify the crypto and stock market regimes, each from its own desks' published readings
Get a unified descriptive view across multiple scientific perspectives
Examines on-chain flows, holder distribution, network use, stablecoin liquidity, whale activity, and staking, alongside equity short interest, borrow fees, insider activity, and institutional positioning. NEXUS reports observed flows and positioning without tailoring conclusions to user holdings.
Flag stocks likely to be hard to borrow, using SEC settlement-fail and Reg SHO data as a proxy since real securities-lending rates aren't licensed to us
Describe Bitcoin holder behavior from network metrics, holder supply and valuation measures
Classify 7-day cross-chain capital flow direction as net inflow, net outflow, or balanced from on-chain bridge volumes
Flag stocks that are over-owned or under-owned by institutions relative to typical levels; compute a crowding score
Cross-reference the options market's implied earnings move against realized surprise history; flag where the two disagree
Read 24-hour net exchange in/outflows per coin to gauge near-term selling or accumulation pressure
Compute Gini coefficient and top-10/top-100 wallet concentration for ERC-20 and SPL tokens to classify supply concentration risk; native coins like Bitcoin and Solana aren't covered
Aggregate Form 4 SEC filings over a trailing 90-day window; compare insider buy vs. sell dollar value and flag clustered same-side activity; classify posture
Analyze 13F filing changes; identify new institutional positions, large liquidations, and conviction changes
Rank Ethereum L2s by TVL and classify each as expanding, stable, or contracting
Monitor daily active addresses and transaction volume with a day-over-day trend and composite health score 0–100
Bring NEXUS's own earlier positioning results together and classify overall pressure as building or monitor from the levels they computed
Track SEC settlement-fail data to flag stocks under short-covering pressure, using Fails-to-Deliver volume and Reg SHO threshold status as a proxy for squeeze risk
Assess Solana ecosystem health from live TPS and the TVL trend
Track aggregate USDT/USDC/DAI circulating supply and classify on-chain dollar liquidity as expanding, stable, or contracting
Score Solana's proof-of-stake security 0-100 based on its staking ratio and validator count
Compare current top-10/top-100 holder concentration for ERC-20 and SPL tokens; native coins like Bitcoin and Solana aren't covered by this analysis
Summarizes news, regulatory events, scheduled catalysts, analyst actions, earnings calls, social activity, and source quality across crypto and equities. NOVA describes narrative shifts and event context without labeling them trade setups.
Monitor SEC EDGAR 8-K filings; classify headline urgency as material event, routine, or low-impact
Monitor analyst upgrades, downgrades, initiations, and price target changes reported in the news; classify net analyst sentiment
Extract upcoming scheduled events per tracked asset and estimate impact
Classify the market impact of recent significant events as bullish, neutral, or bearish with magnitude
Aggregate recent crypto news coverage to classify research sentiment consensus per tracked asset
Read each company's latest filed earnings release for the outlook it gave and the tone it took, with every quote checked against the filing
Record whether each company's reported EPS and revenue beat, missed or matched expectations at recent quarterly releases, as news coverage stated it
Compute pre-event price drift and post-event outcome to assess whether the market priced the event correctly
Produce a composite fear/greed reading with historical percentile
Read the direction and strength of each asset's news coverage in the current window
Surface crypto regulatory headlines that mention tracked assets
Quantify current market sentiment per asset
Identify unusual spikes in news-mention frequency across tracked assets
Audit news coverage and source reliability for your tracked assets
Builds liquid crypto and equity universes and runs standardized screens for momentum, breakouts, earnings momentum, emerging themes, new listings, IPOs, sector context, and watchlist research. SCOUT surfaces candidates for further research, not investment recommendations.
Find crypto assets approaching key breakout levels
Map emerging market themes from current equity and crypto news and identify the assets explicitly associated with them
Score equities on earnings surprise, revenue and EPS growth, and analyst estimate revisions
Build or update a structured view of the crypto ecosystem
Identify narratives whose news mentions are rising fastest
Scan for equities making 52-week highs with above-average volume; classify breakout quality
Score the investable equity universe (S&P 500, Russell 1000, and NASDAQ-100) by multi-timeframe price momentum and surface the top 20 leaders
Build the investable equity universe from S&P 500, Russell 1000, and NASDAQ-100 with liquidity filters
Identify equities approaching S&P 500 / Russell addition or deletion thresholds; classify expected price impact
Monitor recent IPOs (<180 days) and upcoming SPAC completions, ranked by early return, relative strength, volume and float
Build the investable liquid universe by filtering the tracked crypto market on size, volume, and price
Rank crypto assets by recent relative strength over 7-day and 30-day returns
Surface recently listed crypto assets, ranked by early market activity
Screen a user-defined sector for best-in-class names by a mix of technical, fundamental, and momentum criteria
Produce a prioritized descriptive review of the watchlist
Published reports are readable without an account. The newest is Ether (ETH) and XRP extend a month-long slide as Bitcoin falls below $75,000: trend, momentum and news (Nov 9, 2026). Create an account to run research on the stocks and crypto you choose.