Backtesting Arena

Daily 0-100 heat score for the Bitcoin market, aggregated from 8 components (BTC-Cycle, F&G, Altcoin-Season, Bullmarket-Ampel, Funding-Rate, Hash-Ribbons, Mayer-Multiple, MVRV-Z). Returns score, band label, color, 7d/30d delta, verdict, components breakdown, plus score_percentile ranking today’s sco

Crypto cycle position — where are we in the cycle? Default BTC: point-in-time 10-indicator aggregation (MVRV-Z, NUPL, Puell, Pi-Cycle, Funding, Hash-Ribbons, Power-Law, Rainbow, F&G, Mayer). Pass asset=ETH or asset=SOL for a per-coin cycle read built from the transferable price-derived indicators (M

Current BTC, ETH and SOL spot price — what is Bitcoin (or ETH/SOL) worth right now? Live USDT-quoted last price plus 24h change %, high and low from Binance. Use this to anchor the connector’s own analytics (cycle, historical-analog, gem scores) with the current market price instead of switching to

Aggregate stablecoin supply (crypto-liquidity proxy) — is the liquidity impulse turning or accelerating? macro_regime only gives the 30d delta; this exposes the trend: current supply, 30d/90d change (USD + %), and acceleration (last-30d vs prior-30d change) plus a compact time series so direction an

Spot-ETF net flows (USD millions) — is the flow impulse turning or accelerating? The summary only gives point-in-time deltas; this exposes the trend: 30d/90d net flow, acceleration (last-30d vs prior-30d net flow), a direction label (inflows/outflows/flat) and a compact cumulative-inflow time series

Daily Altcoin-Season indicator (v7 Native-Filter methodology). Returns BTC-Dominance, Alt-Dominance, 4 Layer-1 signals (USDT.D, USDC.D, BTC-DOM, ETH-DOM), overall color (red/amber/green) + Top-50 CoinGecko snapshot. [Free tier]

Crypto Fear & Greed Index from alternative.me with historical context. Returns current value 0-100, classification (extreme fear/fear/neutral/greed/extreme greed), recent history, plus arena-specific cadence cache for change-detection. [Free tier]

Bitcoin Bullmarket-Ampel current state (0-5 active stages). Returns active_count, stage_history, stage breakdown. Higher count = more bull-market signals firing. [Free tier]

Latest aggregate Binance Perpetual Funding Rate (8h cadence). Returns value, 30d moving average and Z-Score. Positive = longs pay shorts (bullish bias), negative = shorts pay longs (bearish bias). [Free tier]

Latest Hash Ribbons indicator (Charles Edwards). Returns 30d and 60d hashrate moving averages — when 30d > 60d after a capitulation, signals miner recovery (bullish). [Free tier]

Returns the current Mayer Multiple — BTC price divided by its 200-day SMA — with the underlying price and SMA. Trace Mayer (2014) bands: <0.7 capitulation, 0.7–1.5 neutral, 1.5–2.4 bullish, >2.4 euphoria. One ratio, not a regime call: for the multi-indicator cycle read use arena_get_cycle, for the s

Daily Macro Regime snapshot from 18 components in 6 tiers (Liquidity 30%, Financial Conditions 20%, Risk Appetite 15%, Crypto Liquidity 10%, Business Cycle 15%, Inflation/Real Rates 10%). FRED-sourced. Returns composite_score (0-100), regime_label (risk_off/neutral/risk_on_leaning/risk_on), cycle_ph

Pre-aggregated weekly correlations between Bitcoin and 13 macro components (Fed Net Liquidity, VIX, DXY, Real Yield 10Y, NFCI, HY Credit Spread, Yield Curve, etc.) + 4 asset classes (Gold, SPX, Nasdaq, DXY). Returns quadrant_performance (BTC return stats per 2D-matrix quadrant — annualized return, v

Daily Bitcoin market structure from 1000-bar Phantomflow adaptation (BTCUSDT 1d). Returns current_trend (up/down/sideways), last trend change timestamp, counts of waves + fractals, last-5 fractals on each side (up = pivot highs, down = pivot lows), and trend_context: previous trend + its duration, f

Reproducible Bitcoin support/resistance zones — where do past swing pivots cluster? Aggregates the market-structure swing fractals (pivot highs + lows) into price zones within a tolerance band, each with a touch-count (how often the zone was tested), band, last-touch date and signed distance from th

Latest Deribit volatility snapshot for BTC or ETH. Returns DVOL (30d vol index), constant-maturity ATM implied vol (30/60/90/180d via options chain), 30d realized vol, and vol risk premium (IV - RV). Useful for position sizing, options strategies, and market regime assessment. Backfill: BTC from 202

Returns the Arena-Pulse TIME SERIES: one row per day with date, 0–100 score and band, in ascending date order. Use it for trend, turning points and "how did we get here"; for today's value alone call arena_get_pulse (cheaper, one row). Range capped by tier. [Free 30d / Pro 365d / Power unlimited]

Returns the BTC-Cycle TIME SERIES: one row per day with adj_score and z_adj_score, ascending by date. The scores are point-in-time — each day carries the value computed from data available on that day, so the series can be used for look-ahead-free analysis. For the current cycle reading alone call a

Returns the Altcoin-Season TIME SERIES: one row per day with overall_color, BTC / alt / stablecoin dominance and BTC price, ascending by date. Use it to see whether capital has been rotating into or out of alts over time; for today's state alone call arena_get_altcoin_season. Range capped by tier. [

Returns the funding-rate TIME SERIES for Binance perpetuals, aggregated at the 8h funding cadence, ascending by date. Positive funding means longs pay shorts (crowded long positioning) and vice versa; sustained extremes are a positioning signal, single prints are noise. For the latest funding value

Returns the Mayer-Multiple TIME SERIES (BTC price ÷ its 200-day SMA), one row per day, ascending by date. Values around 1 mean price sits at its 200d average; historically high readings clustered near cycle tops and low ones near bottoms — a descriptive ratio, not a trigger. For the current value al

Lists all available Bitcoin Research Kit (BRK) on-chain series (21 metrics like MVRV, NUPL, SOPR, Realized-Price, Mayer, Puell, STH/LTH SOPR, Hash-Ribbons). Returns id + label + group. Use the id with arena_get_onchain_latest / _history. [Free tier]

Returns the most recent value of ONE on-chain series from the Bitcoin Research Kit as { series_id, metric_name, date, value }. Cheapest way to answer "what is X right now" (MVRV, SOPR, realized price, hash rate, …). Discover valid series_ids with arena_list_onchain_series; for the history behind the

Latest BTC short-term-holder cost basis (realized price of coins younger than ~155 days, BRK brk_sth_realized_price) plus derived STH-MVRV (spot ÷ STH cost basis) and an in_loss flag (spot below cost basis = recent buyers underwater in aggregate, historically stress / near local bottoms). Descriptiv

Returns the full TIME SERIES of one on-chain metric from the Bitcoin Research Kit — date/value pairs in ascending order, with history back to 2009 for most series. Use it for trend and percentile work; for the single current reading call arena_get_onchain_latest, and to discover valid series_ids cal

Last finalized Deribit BTC options expiry: max_pain_strike, spot_at_expiry, %-diff, put_call_ratio, notional. Plus up to 10 upcoming expiries, each with current live max-pain level, days_to_expiry and open_interest_contracts. Read the OI: a max-pain level is only as meaningful as the open interest b

Historical finalized Deribit BTC options expiries in one call — a complete base rate, not a page. Each row: expiry_date, max_pain_strike, spot_at_expiry, %-diff, P/C ratio, notional, expiry-type flags. With include_open_snapshots=true it also returns the DAILY observation series of still-open expiri

Daily drift log comparing bgeometrics (legacy) vs BRK (canonical-soon) pilot metric pairs. Returns mean / max / outlier counts per pair for the requested window. Used by BRK-migration review (every 4 weeks). [API Pro tier]

Lists all backtest strategies (key, label, plan, supported asset classes, primary indicators). Filterable by asset class and plan. Use this before calling arena_run_backtest to discover valid strategy names. [Free tier]

Lists all crypto asset universes (BTC, top-10 crypto, top-50 crypto, etc.) — the underlying pair-sets used by custom-report and universe-backtest endpoints. [Free tier]

Returns one pair universe in full: its id, label, selection rule and the complete list of pairs it currently contains. Use it to see what you are about to test BEFORE handing a universe_id to arena_run_universe_backtest, or to resolve a universe into explicit pairs. For the list of available univers

Aggregated backtest performance per (strategy × interval) cell. If `strategy` AND `interval` provided, returns detail with per-asset breakdown + param variants. Otherwise returns the full matrix (Top-10 cells for Free tier; full for Pro+). [Free Top-10 / Pro+ full]

Lift analysis of entry filters (200WMA, Altcoin-Season, ATR-Volatility, Bullmarket-Stage) per strategy combo — baseline vs filtered CAGR/win-rate/drawdown. [API Pro tier]

Breaks realized strategy performance down by VOLATILITY PHASE (low / normal / high) per asset and timeframe, so you can see whether an edge only exists in one volatility regime. Answers "when does this work", not "does this work" — for the overall verdict use arena_get_strategy_insights, for the mac

PLATFORM ACTIVITY, NOT MARKET SENTIMENT — despite the name, this reports what is being backtested on Backtesting Arena, not how the market feels. Returns hotAssets, hotStrategies, trendingUp/trendingDown, profitTrend (share of profitable runs per pair), dailyActivity, assetDistribution, strategyAsse

Aggregated backtest performance for ONE specific (strategy, asset, interval) combination. Returns run_count, avg_cagr, avg_win_rate, avg_drawdown, effective_years, and vs_buy_hold comparison (beats_buy_hold, cagr_delta). For multi-strategy overview use arena_get_strategy_insights. Use this to answer

Per-(strategy, asset, interval) filter-effect analysis. Returns baseline-stats (no filters) + each observed filter-variant's stats with cagr_delta / drawdown_delta / win_rate_delta vs the time-overlap-matched baseline + best_by_cagr pick + not_applicable_filters list (e.g. altcoin_season excluded on

Historical backtest performance for ONE (strategy, asset, interval) combination SPLIT BY macro market regime (sweet_spot / late_cycle_warning / crisis / recovery — classified at each trade's entry date), PLUS a recommendation for the CURRENT live regime. Answers the killer question 'Should I trade t

Platform-wide aggregated analysis: how each Pro+ entry filter (200 WMA, ATR low/high/expansion, Altcoin Season, Bullmarket confirm/strict) affects strategy CAGR — baseline vs. filtered, median across all real backtest runs for a given market. Verdict: helps (Δ>+1pp, ≥30 runs) / neutral / hurts / ins

Public leaderboard: the highest-CAGR backtest results across all users, with anonymized usernames, pair, strategy, interval and period. Answers "what has scored best on this platform so far". Read it as a selected extreme, not as a recommendation — a top-of-leaderboard entry is the winner of a large

Lists the backtest runs belonging to the authenticated user — newest first, with id, strategy, pair, interval, date range and headline metrics per run. Use it to find a run_id, then call arena_get_backtest for its detail or arena_get_backtest_trades for the individual trades. Only your OWN runs; for

Returns the full record of ONE backtest run by id: strategy, pair, interval, date range, parameters, filters and the aggregate metrics (CAGR, total return, win-rate, max drawdown, trade count, Buy & Hold comparison, net-of-fees figures). Only your own runs (admins may read others). Get ids from aren

Returns the individual round-trips of one of your backtest runs: entry and exit date, entry and exit price, per-trade P&L and the running equity after each trade. Use it when the aggregate metrics are not enough — to see whether a result rests on a handful of outlier trades, how long positions were

Fetches a backtest that someone published via a share link, addressed by its share_id — no ownership and no Pro tier required, which is what makes it the right tool when a user pastes a /shared/backtests URL. Returns the same result shape as arena_get_backtest (config plus aggregate metrics). Use ar

Current signal-status (green/yellow/red) for a strategy on a pair+interval. Backed by the daily check-signals cron — needs at least one user with an active Ampel on this combination. [Free tier]

Backtest a trading strategy honestly — look-ahead-aware validation with Deflated-Sharpe-Ratio / multiple-testing correction (Bailey & López de Prado). Returns an EVIDENCE verdict (insufficient_evidence | anecdote | failed_oos | passed_oos) plus metrics, flags and caveats — NOT a buy/sell recommendat

Run ONE strategy on ONE pair over a date range and get the full result: CAGR, total return, max drawdown, win-rate, trade count, Buy & Hold comparison, net-of-fees figures, and a run_id for later retrieval. Synchronous, typically 3–10s. Use this when the user wants a concrete result for a specific s

Run 2–5 strategies against the SAME pair, interval and date range and return per-strategy metrics plus a comparison summary (best by CAGR, best by win-rate, worst by drawdown). Use this when the user asks which of several strategies fits a market — it holds every variable but the strategy fixed, whi

Backtests one strategy on up to 50 pairs at once. Returns immediately with a job_id; poll arena_get_job_status to check progress. Provide either universe_id (e.g. 'crypto-top-10') OR explicit pairs[]. Background runtime: ~1.5s × n_pairs. Per-day quota: Pro=5, Power=50. [API Pro tier]

Polls an async job by job_id (created via arena_run_universe_backtest). Returns status (pending/running/completed/failed), progress_pct, pairs_completed, and once completed: the full result (summary + per-pair results). [Free tier]

Simulate a GRID BOT (buy-low / sell-high ladder inside a fixed price range) on historical candles. Returns final value, return %, CAGR, trade count, fees paid and a Buy & Hold comparison. This is a different machine from the strategy backtester: grid bots earn from oscillation inside a range, not fr

Get a pricing quote for a custom report (universe-backtest PDF + Excel) without committing to a purchase. Returns price, universe size + preview, excluded pairs, and filter config. Crypto universes use top-N tiers (top-10 … top-250) or a custom pair list. [API Pro tier]

Poll the status of a Custom-Report job. Lifecycle: pending_payment → queued → running → generating → success/failed. Returns progress_pct, succeeded/failed counts, plus pdf_url / xlsx_url when done. [API Pro tier]

Fires when an existing Ampel-Config's signal flips (BUY ↔ SELL). Prerequisite: the user must have created that ampel-config in the web UI (`/dashboard/ampel`) — pass its UUID here; this tool cannot create one. Optional signal_types filter narrows to BUY-only or SELL-only. For the current signal stat

Fires when the BTC-Cycle band changes (capitulation → risk-off → neutral → constructive → euphoric). Optional bands filter restricts to specific target bands. For the current band without subscribing, call arena_get_cycle. Creates a standing subscription; it does not return a value now — collect fir

Fires when the daily 0–100 Arena-Pulse score crosses threshold_above (upward) or threshold_below (downward). At least one threshold is required. For the current score without subscribing, call arena_get_pulse. Creates a standing subscription; it does not return a value now — collect fired updates wi

Fires when the Bullmarket-Ampel active stage count (0–5) changes. Optional direction filter (up/down/any) plus specific stages of interest. For the current stage count without subscribing, call arena_get_bullmarket_ampel. Creates a standing subscription; it does not return a value now — collect fire

Returns every ACTIVE subscription belonging to the current API key: id, type, trigger configuration, delivery method and expiry. Use it to see what is already running before creating a duplicate, and to get the subscription_id that arena_cancel_subscription needs. Does not return fired updates — tha

Returns all undelivered updates for the API key, then marks them as delivered. Call regularly to consume the polling queue. Updates contain payload with subscription_type, current value, previous value, and trigger context. [API Pro tier]

Deactivates one subscription by id, so it stops firing and frees a slot against the per-tier limit. Returns the deactivated subscription. Idempotent — cancelling an already-cancelled one is a no-op, not an error. Get ids from arena_list_subscriptions. Undelivered updates already queued are not remov

Altcoin screener ranking — which altcoins look strong right now? Today's CoinGecko Top-200 scored by a composite of 3 factor groups: Mean-Reversion (A), Tokenomics (B), Market-Structure (C). Backtest-validated factors, not a hype list. Limit gated by tier: Free top-10, Pro top-50, Power top-200. [Fr

Returns the Altcoin-Screener score for ONE coin, addressed by its CoinGecko id: the composite score, its group breakdown and — for Pro+ — the 9 raw factor values across groups A/B/C. Use it once a candidate is known; to rank or filter the whole screened universe use arena_get_gem_scores (plural), an

Bi-weekly equal-weight basket backtest for Top-N screener picks vs BTC and market average. Shows CAGR, max drawdown, win-rate. Free: top-10 default. Pro+: custom N. [Free tier]

Daily Bitcoin volatility time series: realized volatility (30d & 90d, √252-annualized, close-to-close) and ATR% (Wilder EMA-14, captures intraday range + gaps), on the same scale. Ranks come in two flavours and they answer different questions — `rvRank`/`atrPctAnnRank` expand from the start of histo

Current ATR-based volatility phase (low/normal/high/expansion) per tracked pair, updated daily at 08:00 UTC. This is a single current state — for the time series behind it use arena_get_volatility_history, and for what the phase implies for strategy choice use arena_get_volatility_recommendations. F

Top-3 strategies ranked by historical win-rate for the current volatility phase of a given pair. Phase comes from the latest snapshot (arena_get_volatility_phases); minimum 20 trades per phase required for inclusion. Answers "which strategies did well in a phase like the current one?" — a historical

Discover what Knowledge Objects exist: lists all published types + their subjects (with min_tier, api_path, seo_slug, latest as_of). Use this BEFORE arena_get_knowledge to learn valid type/subject pairs instead of guessing. New types appear automatically. [Free tier]

Fetch a versioned, explainable Knowledge Object by type + subject (e.g. type='market_regime', subject='GLOBAL'). Returns the current published envelope: payload, explanation (factors + weights + confidence), provenance (inputs + params), ontology binding, compute version. ONE tool covers ALL knowled

Resolve a knowledge-platform term to its canonical definition (e.g. term='regime'). Returns label, definition (EN/DE), calculation, unit, source + source_ref, version, related terms. Use this to resolve the onto:<term>@<version> references inside Knowledge Objects. [Free tier]

Buy now or wait for the dip? Decision-math over the user's OWN assumptions (target/dip prices, probabilities, capital). Two modes: "compare" = expected value of Buy-Now vs Wait vs Split + the breakeven dip probability (prices as MULTIPLES of today); "allocate" = the risk-adjusted (Kelly / risk-avers

What happened historically after the Bitcoin cycle looked like this? Conditional forward-return distribution for a named preset cycle state — over N DISTINCT historical episodes matching that state, returns median/IQR/positive-share forward returns (30/90/180/365d) with effective-n, small-n warnings

Frame a dip/accumulation thesis WITHOUT a recommendation. Given an asset (BTC/ETH/SOL), a named cycle-state preset and a thesis horizon, returns: (1) a tranche LADDER anchored to STRUCTURAL marks (200-week MA, support clusters) below spot — not calendar-DCA, not a price forecast; (2) the cited histo

Assess one backtest result against its neighborhood instead of trusting a single "+X% CAGR" cell. Given a (strategy, interval, pair) and YOUR result (user_cagr, optional user_sharpe), returns: the cross-asset distribution of the SAME strategy+interval across every pair the backtest factory ran it on

Check for additional tools whenever your task might benefit from specialized capabilities - even if existing tools could work as a fallback.