A Full Signals Checklist to Help AI Agents Conquer the Crypto Market

Thesis.io equips users and agent-space creators with powerful analytics through search and natural-language prompts. Use this checklist to query, combine, and compare signals to uncover both correlations and potential causal relationships.

Note: Some signals aren’t native in Thesis.io yet. You can still query them via Thesis.io’s deep web search (auto) to fetch the underlying data.

How to use this list:

Level 1: Single signal

→ E.g.: “What is sentiment of BTC over the last 24 hours?”

Level 2: Multi-signal reasoning

→ For example: “Is there a relationship between daily sentiment and whale positions over the past 7 days?”

Examples of known relationships (from research & industry)

• Stablecoin issuance/flows ↔ BTC price
• Attention (Google Trends, etc.) ↔ on-chain activity/returns
• Investor-network structure → future crash risk
• Twitter/X sentiment → short-horizon returns
• Influencer/KOL events → short-run price/volume spikes
• Google Trends spikes ↔ price/volume changes (feedback common)
• Funding rates ↔ near-term returns/liquidations risk
• Futures ↔ spot price discovery (two-way flow)
• Leverage shocks → liquidation cascades
• Order-flow imbalance (OFI) → returns/crash risk
• DEX transaction cost mix → slippage/impact dynamics
• BTC ↔ altcoins lead–lag patterns
• Crypto ↔ macro/other assets (time-varying spillovers)
• Developer signals ↔ longer-horizon repricing (context-dependent)

— — — -

FULL CHECKLIST

On-chain network & flow

• Active addresses (active, new)
• Transactions per block / total tx count
• Fees, gas price, block utilization
• Hash rate, difficulty (PoW)
• TVL (by protocol/chain)
• DEX volume, swaps count, unique traders
• Bridge flows (in/out, by chain)
• Stablecoin mint/burn, net issuance, velocity, peg deviation, on-chain reserves
• Exchange inflows/outflows (by asset & by cohort), netflows
• Whale transfer count/size, whale exchange deposits/withdrawals
• Whale accumulation/distribution (cohort-based)
• Wealth concentration: top-N holder share, share distribution
• Staking/validator metrics: staking ratio, unlock schedules, validator health/slashing
• DeFi risk state: borrow rates, utilization, liquidation queues, collateral mix, oracle deviation
• MEV extracted, priority fees

Off-chain & information

• Social sentiment indices (X/Reddit)
• KOL/influencer posts, engagement, reach
• Buzzword/Hypeword frequency & burstiness
• Google Trends (by keyword/ticker/region)
• News volume, headline polarity, source diversity
• Developer activity: commits, releases, contributors, issues closed
• Policy/regulatory events, lawsuits, approvals/rejections
• Exchange/platform incidents: outages, halts, security notices

Perps, futures & options

• Funding rate (level, changes), funding skew
• Open interest (absolute, delta), long/short ratio
• Basis/term structure (perp vs spot, futures curve)
• Liquidations (count/size, bursts)
• Implied volatility, vol surface/skew (options)
• Perp volume by venue/asset

Orderbook & microstructure (CeFi/DEX with LOB)

• Bid/ask spread, inside spread dynamics
• Depth at top-k levels, aggregated depth
• Order flow imbalance (buyer vs seller initiation)
• Market order volume, large trade prints
• Cancellation rate, spoofing/ layering flags
• Queue length/priority, fill ratio
• Slippage, realized price impact

Network graph & relations

• Who-transacts-with-whom edges (address/cluster graph)
• Cluster centrality (betweenness, eigenvector), PageRank
• Community detection labels & dynamics
• Exchange ↔ smart-money flow edges
• Cohort flows: miners/validators, funds/MMs, insiders/dev multisigs
• Graph connectivity: clustering coefficient, assortativity, diameter

Technical & derived indicators

• Returns (log/simple), momentum, trend strength
• Realized volatility/variance, realized skew/kurtosis
• RSI, OBV, MACD, KDJ, Stoch, ATR
• EMAs/SMA crossovers (e.g., 50/200), Bollinger bandwidth
• Market breadth (advancers/decliners), new highs/lows
• Composite scores (risk-on/off, mindshare, quality)

Market structure, sectors & stablecoins

• BTC dominance, ETH dominance
• Sector baskets: L1, L2, DeFi, NFT, Meme, AI, RWA
• Rotation pairs/spreads (e.g., ETH/BTC, SOL/ETH)
• CEX vs DEX volume share, venue concentration
• Stablecoin share by issuer, pool imbalances (Curve/etc.), redemption flows
• Cross-market: DXY, UST 2Y/10Y yields, CPI, VIX, SPX/NDX, gold, oil, SOX/semis

Events (time-stamped)

• Protocol upgrades/hard forks
• Token unlocks/vestings
• Airdrops, listings/delistings
• Hacks/exploits/bridge incidents
• Governance proposals & outcomes
• Chain congestion/outage episodes