> ## Documentation Index > Fetch the complete documentation index at: https://artemis.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # List All-Time-Low Insight Cards > Recent all-time-low events across the same coverage as ATH cards. Each card carries the new low (`NEW_VALUE`), the previous ATL for comparison (`PREVIOUS_ATL_VALUE` and `PREVIOUS_ATL_DATE`), and the percent below the prior low (`PERCENT_BELOW_PREVIOUS`). For equity metrics with a fiscal calendar, `FISCAL_YEAR` / `FISCAL_PERIOD` / `PERIOD_END_DATE` are populated. Cards are sorted by `PERCENT_BELOW_PREVIOUS` descending — biggest crashes first. Related: [`list_all_time_highs`](#tag/Insights/operation/listAthInsights), [`list_decline_streaks`](#tag/Insights/operation/listDeclineStreakInsights). ## OpenAPI ````yaml /openapi.documented.json get /insights/atl/ openapi: 3.1.0 info: title: Artemis API version: 1.0.0 description: > Enterprise API for Artemis metrics, stablecoins, and flows. ## Authentication All endpoints authenticate via an API key. The simplest pattern when using the Python SDK is to set the `ARTEMIS_API_KEY` environment variable — the SDK will pick it up automatically: ```bash export ARTEMIS_API_KEY="your-key-here" ``` ```python from artemis import Artemis client = Artemis() # reads ARTEMIS_API_KEY from env ``` Endpoints under `/data/api/*` and `/flows/top/` also accept the key as an `APIKey` query parameter — the snippets below pass `api_key=os.environ["ARTEMIS_API_KEY"]` to populate it explicitly. servers: - url: https://data-svc.artemisxyz.com security: [] tags: - name: Core Artemis Assets description: Endpoints for general asset data - name: Stablecoins description: Endpoints for stablecoin-specific metrics - name: Flows description: Endpoints for inflows, outflows, and netflows - name: Equities description: > Typed convenience endpoints for equity coverage, scoped to metrics that are **comparable across equities** (valuation ratios, core P&L line items, price). Symbols are prefixed with `eq-` — e.g. `eq-nvda`, `eq-meta`, `eq-coin`. Discover valid symbols via [List Supported Assets](#tag/Core-Artemis-Assets/operation/listAssetSymbols). Three methods: - [`fetch_price`](#tag/Equities/operation/fetchEquityPrice) — daily closing price - [`fetch_financials`](#tag/Equities/operation/fetchEquityFinancials) — 7 quarterly P&L line items (Revenue, Net Income, EBITDA, Operating Income, FCF, Basic EPS, Diluted EPS) - [`fetch_valuation_metrics`](#tag/Equities/operation/fetchEquityValuationMetrics) — 7 valuation ratios (EV/Revenue, EV/Earnings, EV/EBITDA, EV/FCF, P/FCF, Earnings Yield, FCF Yield) **The long tail lives elsewhere.** Artemis tracks many more equity metrics under the hood — company-specific KPIs (Trading Volume for COIN, DAP/ARPP for META, Data Center Revenue for NVDA), regional breakdowns, segment-level revenue, and so on. Discover what's available for a given symbol via [List Available Metrics](#tag/Core-Artemis-Assets/operation/listSupportedMetrics), then query via the generic [Fetch Metrics](#tag/Core-Artemis-Assets/operation/fetchMetrics) endpoint. - name: Insights description: > Pre-computed insight cards across Artemis's coverage — "asset X's metric Y hit a new all-time high", growth streaks, decline streaks, and accelerating trends. Each endpoint returns a feed of cards covering crypto protocols, stablecoins, and equities in one response. This is the same data rendered on [artemis.ai/insights](https://www.artemis.ai/insights). Five card-producing endpoints, all parameterless `GET`s: - [`list_all_time_highs`](#tag/Insights/operation/listAthInsights) — new ATH events - [`list_all_time_lows`](#tag/Insights/operation/listAtlInsights) — new ATL events - [`list_growth_streaks`](#tag/Insights/operation/listStreakInsights) — N consecutive periods of growth - [`list_decline_streaks`](#tag/Insights/operation/listDeclineStreakInsights) — N consecutive periods of decline - [`list_acceleration_signals`](#tag/Insights/operation/listAccelerationInsights) — rate of change itself accelerating **Caching.** Each endpoint is cached server-side for one hour. The first call after cache expiry can take up to a minute as the underlying Snowflake query runs; subsequent calls within the hour are sub-second. paths: /insights/atl/: get: tags: - Insights summary: List All-Time-Low Insight Cards description: > Recent all-time-low events across the same coverage as ATH cards. Each card carries the new low (`NEW_VALUE`), the previous ATL for comparison (`PREVIOUS_ATL_VALUE` and `PREVIOUS_ATL_DATE`), and the percent below the prior low (`PERCENT_BELOW_PREVIOUS`). For equity metrics with a fiscal calendar, `FISCAL_YEAR` / `FISCAL_PERIOD` / `PERIOD_END_DATE` are populated. Cards are sorted by `PERCENT_BELOW_PREVIOUS` descending — biggest crashes first. Related: [`list_all_time_highs`](#tag/Insights/operation/listAthInsights), [`list_decline_streaks`](#tag/Insights/operation/listDeclineStreakInsights). operationId: listAtlInsights responses: '200': description: A feed of all-time-low insight cards. content: application/json: schema: $ref: '#/components/schemas/InsightExtremeCardsResponse' example: rows: - DOMAIN: equity ENTITY_ID: RKT METRIC_NAME: gross_profit HORIZON: quarterly UNIT: CURRENCY METRIC_TYPE: snapshot NEW_VALUE: -54357000 NEW_DATE: '2024-07-01' PREVIOUS_ATL_VALUE: 18283000 PREVIOUS_ATL_DATE: '2023-01-01' PERCENT_BELOW_PREVIOUS: 397.31 PERIOD_END_DATE: '2024-09-30' FISCAL_YEAR: 2024 FISCAL_PERIOD: Q3 REPORT_DATE: '2024-09-30' SPARKLINE: - date: '2024-01-01' value: 41200000 - date: '2024-04-01' value: -12450000 - date: '2024-07-01' value: -54357000 x-codeSamples: - lang: python source: | from artemis import Artemis client = Artemis() response = client.insights.list_all_time_lows() # The 5 sharpest new lows: for card in response.rows[:5]: print( f"{card.entity_id} {card.metric_name} " f"hit {card.new_value:,.0f} on {card.new_date} " f"(-{card.percent_below_previous:.1f}% vs prior ATL)" ) components: schemas: InsightExtremeCardsResponse: type: object properties: rows: type: array items: $ref: '#/components/schemas/InsightExtremeCard' required: - rows InsightExtremeCard: type: object description: An insight card for a new all-time high or all-time low event. properties: DOMAIN: type: string description: >- Coverage bucket for the entity (e.g. `protocol`, `stablecoin_per_chain`, `equity`). ENTITY_ID: type: string description: Entity identifier (e.g. `ethereum`, `usdc-eth`, `RKT`). METRIC_NAME: type: string HORIZON: type: string description: 'Aggregation horizon: `daily`, `weekly`, `monthly`, or `quarterly`.' UNIT: type: string METRIC_TYPE: type: string NEW_VALUE: type: number NEW_DATE: type: string format: date PREVIOUS_ATH_VALUE: type: - number - 'null' description: >- Previous all-time-high value. Present only on `/insights/ath/` cards; null on ATL cards. PREVIOUS_ATH_DATE: type: - string - 'null' format: date PREVIOUS_ATL_VALUE: type: - number - 'null' description: >- Previous all-time-low value. Present only on `/insights/atl/` cards; null on ATH cards. PREVIOUS_ATL_DATE: type: - string - 'null' format: date PERCENT_ABOVE_PREVIOUS: type: - number - 'null' description: Percent above the previous ATH (ATH cards only). PERCENT_BELOW_PREVIOUS: type: - number - 'null' description: Percent below the previous ATL (ATL cards only). PERIOD_END_DATE: type: - string - 'null' format: date description: Fiscal period end date (equity cards only). FISCAL_YEAR: type: - number - 'null' description: Fiscal year (equity cards only). FISCAL_PERIOD: type: - string - 'null' description: Fiscal period label such as `Q3` (equity cards only). REPORT_DATE: type: - string - 'null' format: date SPARKLINE: type: array items: $ref: '#/components/schemas/InsightSparklinePoint' required: - DOMAIN - ENTITY_ID - METRIC_NAME - HORIZON - NEW_VALUE - NEW_DATE - SPARKLINE InsightSparklinePoint: type: object properties: date: type: string format: date value: type: - number - 'null' required: - date - value ````