Get Crypto Cycle Snapshot (BTC / ETH / SOL)
arena_get_cycleCrypto cycle position — where are we in the cycle? Default BTC: point-in-time 9-indicator aggregation (Pi-Cycle Top & Bottom, Mayer Multiple, weekly RSI, 200-week-MA distance, halving position, Fear & Greed, BTC-dominance trend, mining-difficulty trend — each indicator’s 0-100 sub-score is in the score_* fields; the weights are in drivers[] under fields="full"; components without input are excluded and weights renormalized, see indicator_coverage). Includes an ath block (E32): ATH on UTC daily-close basis with ath_date, days_since_ath and drawdown_from_ath_pct vs BOTH the scoring price and the live spot. Pass asset=ETH or asset=SOL for a per-coin cycle read built from the transferable price-derived indicators (Mayer, weekly-RSI, 200-week-MA distance) with renormalized weights; BTC-native indicators (halving, dominance, mining, F&G, Pi-Cycle) are returned as not_applicable rather than faked. All return raw + Z-Score, signal enum, and a percentiles block ranking each indicator against that asset’s own history. The signal enum is a FIXED SCORE-BAND LABEL (<25 accumulation · 25–45 recovery · 45–60 expansion · 60–75 distribution · ≥75 overheated), not an independent market-phase detection: the 45–60 band is the neutral middle, so a mid-band score reads "expansion" even in a drawdown market — the label describes the score band, not the market. BTC additionally returns highlights[] (rule-based markers for currently unusual indicator values — descriptive, versioned ruleset; empty array = nothing unusual) and price_context (price at scoring time vs live spot with drift % — the scores rest on the scoring-time price). Point-in-time scored — not reconstructable from a generic price API. The volatility series itself is arena_get_volatility_history; this tool carries the regime context around it. score_fields_note explains the four score fields: z_score/z_adj_score are the composite standardized against its own history and mapped back onto the 0-100 scale, NOT statistical z-values; halving_context.ath_days_after_halving puts the observed cycle high next to days_since_halving. Pass fields="full" (BTC) for drivers[]: each indicator sub-score with its renormalized weight, contribution (they add up to raw_score — the input of the z_adj_score that signal follows) and percentile_rank against its own history. Related: arena_get_historical_analog (what followed states like this one), arena_get_bullmarket_ampel, arena_get_pulse. [Free tier]
Tool call template
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "arena_get_cycle"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| asset | No | Which asset’s cycle. Default BTC. ETH/SOL return a price-derived cycle read with not_applicable fields for BTC-native indicators. | |
| fields | No | BTC only. 'full' adds `drivers[]` (indicator sub-scores with renormalized weight, contribution summing to raw_score, percentile_rank with basis and n) plus drivers_note. |