65 Services from cryptyx.ai

Returns queued trading setups ranked by proximity to trigger threshold (distance-to-fire in sigma units), enabling cheap polling for imminent signal detection across 200+ crypto assets.

Backtests a specific trading signal over a historical date range, returning daily trigger events, confidence scores, trigger rate, and total event count.

Returns a per-composite breakdown of triggered signal stats across 200+ crypto assets, including triggered asset count, breadth percentage, and top-triggering assets for each of the 9 IC-weighted composites.

Returns a 90-day z-score and percentile timeseries for a single (metric_id, asset) pair, suitable for sparklines, chart tooltips, and rapid metric screening.

Returns a regime cascade divergence analysis for one crypto asset — showing how out-of-step it is with macro/market regime, with score delta, per-horizon breakdown, severity, and a plain-English interpretation.

Accepts an arbitrary user-defined trigger predicate (z_score, z_differential, or composite) and returns a full institutional-grade backtest evidence envelope including 5-year performance stats, walk-forward IS/OOS, and regime context

Returns per-asset regime state across all 8 time horizons plus divergence flags comparing the asset's regime to the broader crypto market at each timescale.

Returns all canonical trading setup evaluations for a given day across 200+ crypto assets, with z-scores, distance-to-trigger in sigma, confidence, and state filters (fires, boundary, silent, first_ever).

Returns a filtered list of up to 150 founder-approved, multi-metric trading setups organized across 8 factor families, each with composition, primary horizon, and backtest snapshot pointer

Returns a canonical orientation tear-sheet for crypto assets — totals counts, top-5 fires by confidence, first-ever prints, boundary watchlist, and silent fade setups — in a single call.

Returns per-asset metric health grades for a given crypto symbol, diagnosing which metrics actually work on that specific asset via TS vs CS grade divergence, per-metric information coefficient, and hit rate.

Returns a bundled BTC price, macro regime history, and high-conviction signal density timeseries in a single call for cycle orientation

Returns return-distribution asymmetry metrics for a digital asset, including skew, tail ratio, and expected shortfall.

Returns historical performance statistics for a specific (horizon, regime_label) pair — including occurrence count, mean forward return, hit rate, and the last 5 instances — to answer 'what happened next when this regime appeared before?'

Decomposes crypto market regimes across tactical, strategic, and secular timescales (1–1900 day lookback) and returns a Supertrend score showing cross-horizon alignment or divergence.

Returns the implied volatility surface (IV, delta, expiry, strike) for a given cryptocurrency asset

Returns current perpetual futures funding rates with z-score and annualized rate for a given digital asset

Returns the top-ranked cryptocurrency trading signals with grades, hit rates, and forward return metrics for a specified time horizon

Scans all tracked digital assets for those exceeding a specified z-score threshold on a given metric, returning the statistical extremes

Returns the highest-graded, statistically-backtested trading setups for a given digital asset and forward-return horizon, ranked by hit rate and mean forward return.

Returns a composite intelligence thesis for a given digital asset, including ranked signals, a composite score, and the dominant market factor driving the asset.

Returns all trading setups that have fired for the very first time in CRYPTYX's prospective history — the rarest, highest-signal events in the canonical catalog.

Returns triggered trading/market signals with confidence scores for specified digital assets based on multi-metric intelligence analysis

Returns quantitative factor scores (t-scores) for a given digital asset over a specified forward return horizon (7d, 14d, or 30d)

Returns currently triggered intelligence signals with confidence grades for a given digital asset

Retrieves a detailed explanation of whether a specific crypto trading signal triggered for a given asset on a given date, including confidence score and contributing factors.

Returns historical OHLCV (open, high, low, close, volume) price data for a specified digital asset over a given number of days

Returns the peer cluster and similarity scores for a given crypto asset, grouping it with similar assets by behavioral and market metrics

Returns the current market regime classification (e.g. expansion, contraction) and confidence score for a given digital asset symbol

Returns multi-metric performance snapshots or time-series data for digital assets, including returns, composite scores, and rankings across hundreds of signals.

Returns current market regime classifications (expansion, consolidation, etc.) with confidence scores for digital assets over a configurable lookback and forward horizon

Returns currently triggered trading signals for a specified digital asset, optionally filtered by signal class (e.g. trend, volatility, futures)

Returns a ranked leaderboard of top-performing trading signals for digital assets, graded by information coefficient, hit rate, and forward return horizon.

Returns AI-generated ranked trade ideas for digital assets with composite signals, market regime context, and configurable return horizons

Returns a real-time intelligence snapshot across digital assets, including top-ranked assets, bullish/bearish factor breadth, and aggregated signal trigger counts

Returns the highest-information-coefficient metrics and signals for a given digital asset over a specified forward return horizon

Returns service health status including build version, last pipeline run timestamp, and current signal/composite/asset counts for the Cryptyx AI platform.

Returns a historical journal of daily thesis scores, market regime labels, and signal counts for a specified digital asset over a lookback window.

Retrieves historical signal-triggered events for a digital asset over a specified lookback window, indicating which intelligence signals fired on which days

Returns ranked digital assets by composite conviction score, surfacing the strongest and weakest signals across hundreds of crypto metrics

Evaluates a composite set of user-defined metric conditions on a digital asset and returns historical hit rate, trigger count, and mean forward return statistics

Answers natural language questions about digital asset intelligence using multi-factor signals, momentum metrics, and quantitative scores across hundreds of crypto assets

Returns an aggregated crypto market sentiment pulse showing positive/negative signal counts and net score across digital asset classes over a configurable lookback period

Returns multi-dimensional intelligence metrics (z-scores, percentiles, t-scores, trend signals) for specified crypto assets

Evaluates a specific crypto metric against a Z-score threshold using a comparison operator and returns historical hit rate, trigger count, and mean forward return for the given asset

Returns aggregate bullish/bearish breadth counts across digital asset signal classes for a specified forward return horizon and score threshold

Backtests a weighted composite of digital asset signals over a specified date range and returns daily composite returns

Evaluates a named digital asset signal across a universe of assets for a given date, returning how many assets triggered that signal

Returns factor-level attribution scores showing which signal classes drive an asset's composite intelligence score over a chosen forward return horizon

Returns a ranked cross-section of digital assets or a single asset scored across quantitative factor dimensions (e.g. trend, momentum) with t-scores.

Returns taker-side order flow metrics for a digital asset, including buy/sell volumes and buy-sell ratio

Generates a custom-weighted composite signal ranking of digital assets across configurable return horizons and metric classes

Computes pairwise correlation coefficients between specified digital assets over a configurable time window

Returns order book depth metrics (bid and ask depth at 100bps) for a specified digital asset, providing a liquidity snapshot for trading intelligence.

Returns a day-by-day market regime classification (e.g. expansion, contraction) with confidence scores for a specified crypto asset over a lookback window.

Returns composite momentum scores and delta values across multiple digital assets for a specified lookback window and forward return horizon

Returns the current market regime (e.g. expansion, contraction) with a confidence score for a given digital asset symbol

Returns recently triggered intelligence signals for a specified digital asset, such as volatility compression or other quantitative indicators

Returns a composite signal heatmap scoring digital assets by intensity across trend/risk classes for a given lookback and forward return horizon

Returns cross-metric divergences between asset signal classes (e.g. trend vs. volatility) across configurable time horizons for digital assets

Forks an existing trading signal with new parameter values, creating a customized variant of a digital asset intelligence signal

Simulates a crypto trading signal against historical data to estimate how often it would have triggered across digital assets

Returns an AI-generated intelligence brief summarizing current crypto market conditions across hundreds of metrics and signals

Generates structured intelligence reports on digital assets using a specified template such as daily digest, asset deep dive, or signal summary

Returns a catalog of available intelligence signals, metrics, and digital asset data feeds offered by CRYPTYX