// endpoints

Summary

Comprehensive factual snapshot for a single asset

GET https://api.tickerdb.com/v1/summary/AAPL

Returns the full factual state of a single asset: categorical facts first, with optional stability metadata for trend, momentum, volatility, volume, patterns, support/resistance context, sector context, and fundamentals (stocks). No bias, no score, no recommendation.

The summary endpoint handles four modes depending on the parameters you provide:

Mode	Parameters	Description
Latest	`ticker`	Most recent snapshot for the asset
Historical	`ticker` + `date`	Snapshot for a specific past date
Date Range	`ticker` + `start` + `end`	Bulk historical series across a date range
Event Lookup	`ticker` + `field` + `band`	Historical band transition events with aftermath data

Tier Access

Starter Core technical sections: trend, momentum, extremes, volatility, volume, patterns.
Plus Adds support/resistance context and basic fundamentals.
Pro Adds sector_context and advanced fundamentals.

Band Stability Metadata

Plus Pro Summary keeps sibling _meta objects off by default so the primary band label stays front-and-center. Add meta=true to include them across the response, or explicitly request a *_meta field in fields. Each _meta object can include stability (fresh, holding, established, or volatile), periods_in_current_state, flips_recent, and flips_lookback. Not available on Starter tier. See Band Stability.

Freshness And Methodology

Every summary includes as_of_date so you can see which market session the snapshot represents, plus an ohlcv object for that same daily or weekly candle. Use data_status for the high-level freshness mode, and Categorical Bands when you need the exact band definitions behind labels like deep_value or oversold. For update timing, coverage, and data-quality notes, see Data Quality.

Parameters

Parameter	Type	Default	Description
`ticker`	`string`	—	Required. Asset symbol (e.g. `AAPL`). Path parameter.
`timeframe`	`string`	`daily`	`daily` or `weekly`
`date`	`string`	latest	Historical mode. Snapshot for a specific date (`YYYY-MM-DD`). Starter 30 days. Plus 2 years. Pro 5+ years.
`start`	`string`	—	Date range mode. Inclusive start date (`YYYY-MM-DD`). Requires `end`. Sequential ranges must fit within your plan cap: Starter 3 rows. Plus 10 rows. Pro 50 rows.
`end`	`string`	—	Date range mode. Inclusive end date (`YYYY-MM-DD`). Requires `start`.
`fields`	`string`	full summary	Snapshot and history modes only. JSON array or comma-separated list of sections and dotted paths to return, such as `ohlcv.close`, `trend`, `momentum.rsi_zone`, `support_level.level_price`, `fundamentals.valuation_zone`, or `levels.support_levels`.
`meta`	`boolean`	`false`	Snapshot and history modes only. Add `meta=true` to include sibling `_meta` / `status_meta` stability objects in the response. Explicit `*_meta` field paths in `fields` still work without this flag.
`sample`	`string`	—	Date range mode only. Use `even` to evenly distribute snapshots across the full filtered range.
`limit`	`integer`	plan max (sample) / `10` (events)	Date range mode: only valid with `sample=even`, where it requests sampled rows up to your plan cap (Starter 3, Plus 10, Pro 50). Event mode: max events, max `100`.
`field`	`string`	—	Event mode. Band field name to query. Prefer the full schema/search name (e.g. `momentum_rsi_zone`, `extremes_condition`, `trend_direction`, `trend_stage`, `trend_ma20_slope`, `trend_ma_crossover_event`, `trend_distance_ma40`, `pattern_bull_flag`, `fundamentals_valuation_zone`). Short aliases like `rsi_zone` still work for common fields.
`band`	`string`	—	Event mode. Filter to a specific band value (e.g. `deep_oversold`). MA distance event fields also accept grouped aliases `above` and `below`, which expand to the three corresponding granular MA bands.
`context_ticker`	`string`	—	Event mode. Second ticker for cross-asset correlation. Requires `context_field` and `context_band`. Plus Pro
`context_field`	`string`	—	Event mode. Band field to check on the context ticker
`context_band`	`string`	—	Event mode. Only return events where context ticker was in this band. MA distance context fields also accept grouped aliases `above` and `below`.

Naming Model

Summary responses are nested JSON, so the docs use dotted paths like trend.direction and fundamentals.valuation_zone. Search and /v1/schema/fields use canonical flat snake_case names like trend_direction and fundamentals_valuation_zone. Watchlist diffs keep short top-level technical names like rsi_zone and trend_direction, but keep dotted fundamentals names like fundamentals.valuation_zone. When you pass field=... in Summary event mode, use the canonical flat names from Schema.

Field Selection

Use fields when you want smaller, more LLM-friendly summary payloads. The endpoint always keeps top-level identity keys like ticker, timeframe, market_cap, and market_cap_tier, then returns only the requested sections or dotted paths. Summary omits _meta by default even when you request a whole section like trend; add meta=true for full-section stability metadata, or explicitly request just the few *_meta paths you need. In historical range mode, the duplicate top-level levels block is only returned when you explicitly request levels or a child path like levels.support_levels.

Response Sections

Identification

Field	Type	Description
`ticker`	`string`	Asset symbol
`timeframe`	`string`	`daily` or `weekly`
`asset_class`	`string`	`stock`, `crypto`, or `etf`
`sector`	`string`	Sector or category
`market_cap`	`number \| null`	Raw stock market capitalization in USD when available
`market_cap_tier`	`string \| null`	Market-cap bucket: `nano`, `micro`, `small`, `mid`, `large`, `mega`, or `ultra_mega`
`data_status`	`string`	`"eod"`
`as_of_date`	`string`	The session date represented by this snapshot (`YYYY-MM-DD`)
`performance`	`string`	Candle performance vs. asset's own history. Per-ticker percentile-based: `sharp_decline` through `sharp_gain`. See Bands.

ohlcv

Latest, historical, and range summary rows include the OHLCV candle for the same timeframe and as_of_date. Daily summaries expose the daily candle; weekly summaries expose the Monday-through-Sunday aggregate candle. For longer paginated bar history, use OHLCV.

Field	Type	Description
`ohlcv.open`	`number \| null`	Candle open
`ohlcv.high`	`number \| null`	Candle high
`ohlcv.low`	`number \| null`	Candle low
`ohlcv.close`	`number`	Candle close
`ohlcv.volume`	`integer \| null`	Candle volume

trend

Field	Type	Description
`trend.direction`	`string`	`strong_uptrend` through `strong_downtrend`
`trend.duration_days`	`integer`	Days current trend has persisted
`trend.ma_alignment`	`string`	`aligned_bullish`, `mixed`, or `aligned_bearish`
`trend.stage`	`string`	Conservative 40-week stage analysis label: `stage_1_base`, `stage_2_growth`, `stage_3_topping`, or `stage_4_decline`. Populated on weekly candles when the evidence is sufficient; otherwise `null`.
`trend.ma_slopes`	`object \| null`	5-period slope state for `ma_8`, `ma_20`, `ma_40`, `ma_50`, `ma_100`, and `ma_200`: `steep_up`, `shallow_up`, `flat`, `shallow_down`, or `steep_down`. Individual flat search/schema fields are `trend_ma8_slope` through `trend_ma200_slope`.
`trend.ma_compression_band`	`string \| null`	Spread between the 8, 50, and 200 moving averages: `ultra_compressed`, `compressed`, or `fanned_out`
`trend.ma_crossover_event`	`string \| null`	Highest-priority MA cross for the candle: 50/200 golden or death cross, 20/50 trend cross, or 8/20 sharp/lazy momentum cross. `none` means enough data existed and no cross occurred.
`trend.moving_average_values`	`object \| null`	Raw SMA values for `ma_8`, `ma_20`, `ma_40`, `ma_50`, `ma_100`, and `ma_200`. Individual flat search/schema fields are `ma8` through `ma200`.
`trend.distance_from_ma_band`	`object`	MA distance bands for ma_8, ma_20, ma_40, ma_50, ma_100, ma_200
`trend.volume_confirmation`	`string`	`confirmed`, `diverging`, or `neutral`

momentum

Field	Type	Description
`momentum.rsi_zone`	`string`	Current RSI zone
`momentum.stochastic_zone`	`string`	Current Stochastic zone
`momentum.xtrm_score`	`float`	XTRM pressure score
`momentum.rsi_stochastic_agreement`	`boolean`	RSI and Stochastic agree?
`momentum.macd_state`	`string`	MACD histogram state
`momentum.direction`	`string`	`accelerating`, `steady`, `decelerating`, `bullish_reversal`, or `bearish_reversal`
`momentum.divergence_detected`	`boolean`	Price diverging from momentum?
`momentum.divergence_type`	`string`	`bullish_divergence`, `bearish_divergence`, or `null`

extremes

Field	Type	Description
`extremes.condition`	`string`	`deep_oversold` through `deep_overbought`, or `normal`
`extremes.days_in_condition`	`integer`	Consecutive days in extreme. 0 if normal
`extremes.historical_median_duration`	`float`	Median duration for this asset
`extremes.historical_max_duration`	`integer`	Longest streak for this asset
`extremes.occurrences_1yr`	`integer`	Occurrences in past year
`extremes.condition_percentile`	`float`	Rarity of current conditions. 0–100
`extremes.condition_rarity`	`string`	Human-readable rarity: `extremely_rare`, `very_rare`, `rare`, `uncommon`, `occasional`, or `common`

volatility

Field	Type	Description
`volatility.regime`	`string`	`low`, `normal`, `above_normal`, `high`, or `extreme`
`volatility.regime_trend`	`string`	`compressing`, `stable`, or `expanding`
`volatility.squeeze_active`	`boolean`	Bollinger squeeze currently active
`volatility.squeeze_days`	`integer`	Days squeeze active. 0 if not
`volatility.historical_avg_squeeze_duration`	`float`	Average squeeze duration for this asset

volume

Field	Type	Description
`volume.ratio_band`	`string`	Today vs. 50-day average
`volume.percentile`	`float`	Rank in 1-year history
`volume.accumulation_state`	`string`	Accumulation/distribution state
`volume.climax_detected`	`boolean`	Volume climax in last 5 bars
`volume.climax_type`	`string`	`buying_climax`, `selling_climax`, or `null`
`volume.price_direction_on_volume`	`string`	Price direction on the elevated-volume bar, typically `up`, `down`, or `flat`
`volume.consecutive_elevated_days`	`integer`	Current streak length of elevated-volume sessions
`volume.historical_avg_elevated_streak`	`float`	Average elevated-volume streak length for this asset

support_level / resistance_level

Each is an object (or null if no level found). Both share the same fields:

Field	Type	Description
`status`	`string`	`intact`, `approaching`, or `breached`
`level_price`	`number \| null`	Raw support or resistance level price in USD
`status_meta`	`object \| null`	Optional level-status stability metadata on paid tiers when `meta=true` or when explicitly requested
`consecutive_closes_beyond`	`integer`	Consecutive closes past the level. 0 if `intact` or `approaching`
`distance_band`	`string`	`at_level` through `very_far`
`touch_count`	`integer`	Times tested (past year)
`held_count`	`integer`	Times level held
`broke_count`	`integer`	Times level broke
`last_tested_days_ago`	`integer`	Days since last test
`type`	`string`	`horizontal` or `ma_derived`
`ma_name`	`string \| null`	Moving-average name when the level is MA-derived, otherwise `null`
`volume_at_tests_band`	`string`	Typical volume at tests

levels.support_levels / levels.resistance_levels

Date range mode can also return a top-level levels object when you explicitly request levels, levels.support_levels, or levels.resistance_levels. These arrays expose the tracked candidate levels for each historical row using the same public structure as the current support_level and resistance_level objects, including raw USD level_price values.

Field	Type	Description
`levels.support_levels` / `levels.resistance_levels`	`object[]`	Ordered arrays of support or resistance candidates for that historical date
`level_price`	`number \| null`	Raw level price in USD
`distance_band`	`string`	`at_level` through `very_far`
`touch_count`	`integer`	Times tested (past year)
`held_count`	`integer`	Times level held
`broke_count`	`integer`	Times level broke
`last_tested_days_ago`	`integer \| null`	Days since the level was last tested
`type`	`string \| null`	`horizontal` or `ma_derived`
`ma_name`	`string \| null`	Moving-average name when the level is MA-derived, otherwise `null`
`volume_at_tests_band`	`string \| null`	Typical volume at tests
`status`	`string \| null`	`intact`, `approaching`, or `breached`
`consecutive_closes_beyond`	`integer`	Consecutive closes past the level
`status_meta`	`object`	Level-status stability metadata when transition history exists for that row and `meta=true` is enabled

range_position

Top-level field: lower_third, mid_range, or upper_third.

patterns

Rules-based chart pattern setup states. These fields are scan conditions, not breakout or breakdown guarantees.

Field	Type	Description
`patterns.bull_flag`	`string \| null`	Bull flag setup state: `no_setup`, `immature`, `mature`, or `failed`. Flat schema/search field: `pattern_bull_flag`.
`patterns.bear_flag`	`string \| null`	Bear flag setup state: `no_setup`, `immature`, `mature`, or `failed`. Flat schema/search field: `pattern_bear_flag`.

sector_context Pro

Field	Type	Description
`sector_context.rsi_zone`	`string`	Sector aggregate RSI zone
`sector_context.trend`	`string`	Sector aggregate trend
`sector_context.asset_vs_sector_rsi`	`string`	`weaker`, `aligned`, or `stronger`
`sector_context.asset_vs_sector_trend`	`string`	`weaker`, `aligned`, or `stronger`
`sector_context.agreement`	`boolean`	Whether the asset and sector are directionally aligned across the tracked sector states
`sector_context.oversold_count`	`integer`	Peers oversold (if applicable)
`sector_context.overbought_count`	`integer`	Peers currently overbought
`sector_context.breakout_count`	`integer`	Peers currently in breakout-style conditions
`sector_context.total_count`	`integer`	Total peers
`sector_context.valuation_zone`	`string`	Sector aggregate valuation band when available
`sector_context.elevated_volume_count`	`integer`	Peers currently showing elevated volume

fundamentals Stocks Only

Omitted entirely for crypto and ETFs — keys are absent, not null.

Plus

Field	Type	Description
`fundamentals.valuation_zone`	`string`	`deep_value` through `deeply_overvalued`
`fundamentals.growth_zone`	`string`	YoY revenue/EPS growth band
`fundamentals.growth_zone_meta`	`object \| null`	Optional band stability metadata for `growth_zone` on paid tiers when requested
`fundamentals.earnings_proximity`	`string`	Next earnings timing
`fundamentals.analyst_consensus`	`string`	Aggregate analyst recommendation

Pro Only Pro

Field	Type	Description
`fundamentals.valuation_percentile`	`float`	Rarity in asset's 5yr history. 0–100
`fundamentals.pe_vs_historical_zone`	`string`	P/E vs. 5yr range
`fundamentals.pe_vs_sector_zone`	`string`	P/E vs. sector median
`fundamentals.pb_vs_historical_zone`	`string`	P/B vs. 5yr range
`fundamentals.revenue_growth_direction`	`string`	Revenue trend direction
`fundamentals.revenue_growth_direction_meta`	`object \| null`	Optional band stability metadata for `revenue_growth_direction` when requested
`fundamentals.eps_growth_direction`	`string`	EPS trend direction
`fundamentals.eps_growth_direction_meta`	`object \| null`	Optional band stability metadata for `eps_growth_direction` when requested
`fundamentals.last_earnings_surprise`	`string`	`big_beat`, `beat`, `met`, `missed`, or `big_miss`
`fundamentals.analyst_consensus_direction`	`string`	`upgrading`, `stable`, or `downgrading`
`fundamentals.insider_activity`	`object \| null`	Derived insider activity summary. `null` when no recent insider dataset is available for that asset/date.
`fundamentals.insider_activity.zone`	`string`	`heavy_buying`, `moderate_buying`, `neutral`, `moderate_selling`, `heavy_selling`, or `no_activity`
`fundamentals.insider_activity.net_direction`	`string`	`strong_buying`, `buying`, `neutral`, `selling`, or `strong_selling`
`fundamentals.insider_activity.quarter`	`string \| null`	Reporting quarter for the recent insider activity snapshot

Usage Examples

Latest snapshot

curl

curl "https://api.tickerdb.com/v1/summary/AAPL" \
  -H "Authorization: Bearer YOUR_API_KEY"

Latest snapshot with stability metadata

curl

curl "https://api.tickerdb.com/v1/summary/AAPL?meta=true" \
  -H "Authorization: Bearer YOUR_API_KEY"

Historical snapshot (specific date)

curl

curl "https://api.tickerdb.com/v1/summary/AAPL?date=2025-06-15" \
  -H "Authorization: Bearer YOUR_API_KEY"

Date range (bulk history)

curl

curl "https://api.tickerdb.com/v1/summary/AAPL?start=2025-01-05&end=2025-01-16" \
  -H "Authorization: Bearer YOUR_API_KEY"

Date range mode returns full sequential history in ascending date order, but only when the row count stays within your plan cap. Starter up to 3 rows. Plus up to 10 rows. Pro up to 50 rows. Lookback depth still applies separately: Starter 30 days. Plus 2 years. Pro 5+ years.

Condensed Range Sampling

If a sequential range would exceed your cap, narrow the dates or use sample=even. Sampled ranges spread snapshots across the entire matching series and return sample, row_count, and total_rows in the response.

Date range (evenly sampled)

curl

curl "https://api.tickerdb.com/v1/summary/AAPL?start=2025-01-01&end=2025-12-31&sample=even&limit=10" \
  -H "Authorization: Bearer YOUR_API_KEY"

LLM-friendly range with selected fields

curl

curl "https://api.tickerdb.com/v1/summary/AAPL?start=2025-01-01&end=2025-12-31&sample=even&limit=10&fields=["trend.direction","momentum.rsi_zone","fundamentals.valuation_zone"]" \
  -H "Authorization: Bearer YOUR_API_KEY"

This returns the same sampled date series, but trims each snapshot down to the requested state fields. Add levels.support_levels or levels.resistance_levels only when you specifically need the detailed historical level arrays.

Single stability field without full meta

curl

curl "https://api.tickerdb.com/v1/summary/AAPL?fields=["trend.direction","trend.direction_meta"]" \
  -H "Authorization: Bearer YOUR_API_KEY"

Use this when you only need a narrow stability signal instead of every _meta object in the full payload.

Event lookup (band transitions)

curl

curl "https://api.tickerdb.com/v1/summary/AAPL?field=momentum_rsi_zone&band=deep_oversold&limit=5" \
  -H "Authorization: Bearer YOUR_API_KEY"

Event mode returns historical band transition events. Starter 30-day lookback. Plus 2-year lookback + aftermath data. Pro 5+ years of lookback + aftermath data.

Paid-tier aftermaths include both the existing per-ticker performance bands and exact close-to-close percentage returns. Daily events expose return_5d_pct, return_10d_pct, return_20d_pct, return_50d_pct, and return_100d_pct. Weekly events expose the equivalent return_2w_pct through return_16w_pct. A value is null until that horizon has completed.

Event aftermath shape

{
"aftermath": {
"5d": { "performance": "moderate_gain" },
"20d": { "performance": "slight_gain" },
"return_5d_pct": 6.418327,
"return_20d_pct": 3.107942
}
}

Event lookup (extreme-state entries)

curl

curl "https://api.tickerdb.com/v1/summary/AAPL?field=extremes_condition&band=deep_oversold&limit=5" \
  -H "Authorization: Bearer YOUR_API_KEY"

Use extremes_condition when you care about entries into extreme states like deep_oversold or deep_overbought rather than the broader RSI zone transitions.

Event lookup with cross-asset correlation

curl

curl "https://api.tickerdb.com/v1/summary/AAPL?field=momentum_rsi_zone&band=deep_oversold&context_ticker=SPY&context_field=trend_direction&context_band=downtrend" \
  -H "Authorization: Bearer YOUR_API_KEY"

Cross-asset correlation costs 2 credits per request. Available on Plus and Pro plans.

Event lookup with grouped MA aliases

curl

curl "https://api.tickerdb.com/v1/summary/BTCUSD?field=trend_distance_ma50&band=below&context_ticker=SPY&context_field=trend_distance_ma50&context_band=above&limit=5" \
  -H "Authorization: Bearer YOUR_API_KEY"

For MA distance event fields only, band=above expands to proximity_above, extended_above, and extreme_extension_above. band=below expands to proximity_below, extended_below, and extreme_extension_below. The stored and returned event rows still use the granular MA band labels.

Latest Mode Response

The default latest response is band-first and does not include sibling _meta objects. Add meta=true when you want the paid-tier stability context inline.

GET /v1/summary/AAPL

{
  "ticker": "AAPL",
  "timeframe": "daily",
  "asset_class": "stock",
  "sector": "Technology",
  "market_cap": 4345621456500,
  "market_cap_tier": "ultra_mega",
  "data_status": "eod",
  "as_of_date": "2026-04-11",
  "performance": "slight_gain",
  "ohlcv": {
    "open": 190.42,
    "high": 195.8,
    "low": 189.12,
    "close": 194.27,
    "volume": 52100400
  },
  "trend": {
    "direction": "uptrend",
    "duration_days": 18,
    "ma_alignment": "aligned_bullish",
    "stage": "stage_2_growth",
    "ma_slopes": {
      "ma_8": "steep_up",
      "ma_20": "shallow_up",
      "ma_40": "shallow_up",
      "ma_50": "flat",
      "ma_100": "shallow_up",
      "ma_200": "steep_up"
    },
    "ma_compression_band": "compressed",
    "ma_crossover_event": "none",
    "moving_average_values": {
      "ma_8": 193.84,
      "ma_20": 194.02,
      "ma_40": 181.35,
      "ma_50": 178.94,
      "ma_100": 169.72,
      "ma_200": 156.43
    },
    "distance_from_ma_band": {
      "ma_8": "proximity_above",
      "ma_20": "touching",
      "ma_40": "extended_above",
      "ma_50": "extended_above",
      "ma_100": "extended_above",
      "ma_200": "extended_above"
    },
    "volume_confirmation": "confirmed"
  },
  "momentum": {
    "rsi_zone": "neutral_high",
    "stochastic_zone": "overbought",
    "rsi_stochastic_agreement": false,
    "macd_state": "contracting_positive",
    "direction": "decelerating",
    "divergence_detected": false,
    "divergence_type": null
  },
  "extremes": {
    "condition": "normal",
    "days_in_condition": 0,
    "historical_median_duration": 3.5,
    "historical_max_duration": 11,
    "occurrences_1yr": 4,
    "condition_percentile": 45.2,
    "condition_rarity": "common"
  },
  "volatility": {
    "regime": "normal",
    "regime_trend": "stable",
    "squeeze_active": false,
    "squeeze_days": 0,
    "historical_avg_squeeze_duration": 8.2
  },
  "volume": {
    "ratio_band": "normal",
    "percentile": 52.1,
    "accumulation_state": "accumulation",
    "climax_detected": false,
    "climax_type": null,
    "price_direction_on_volume": "up",
    "consecutive_elevated_days": 2,
    "historical_avg_elevated_streak": 1.7
  },
  "support_level": {
    "level_price": 182.45,
    "status": "intact",
    "consecutive_closes_beyond": 0,
    "distance_band": "near",
    "touch_count": 6,
    "held_count": 5,
    "broke_count": 1,
    "last_tested_days_ago": 12,
    "type": "horizontal",
    "ma_name": null,
    "volume_at_tests_band": "above_average"
  },
  "resistance_level": {
    "level_price": 195.8,
    "status": "approaching",
    "consecutive_closes_beyond": 0,
    "distance_band": "very_close",
    "touch_count": 3,
    "held_count": 3,
    "broke_count": 0,
    "last_tested_days_ago": 2,
    "type": "horizontal",
    "ma_name": null,
    "volume_at_tests_band": "high"
  },
  "range_position": "upper_third",
  "patterns": {
    "bull_flag": "mature",
    "bear_flag": "no_setup"
  },
  "sector_context": {
    "rsi_zone": "neutral",
    "trend": "uptrend",
    "asset_vs_sector_rsi": "stronger",
    "asset_vs_sector_trend": "aligned",
    "agreement": true,
    "oversold_count": 2,
    "overbought_count": 6,
    "breakout_count": 1,
    "total_count": 45,
    "valuation_zone": "fair_value",
    "elevated_volume_count": 4
  },
  "fundamentals": {
    "valuation_zone": "fair_value",
    "valuation_percentile": 52.8,
    "pe_vs_historical_zone": "average",
    "pe_vs_sector_zone": "premium",
    "pb_vs_historical_zone": "above_average",
    "growth_zone": "moderate_growth",
    "revenue_growth_direction": "steady",
    "eps_growth_direction": "accelerating",
    "earnings_proximity": "this_month",
    "last_earnings_surprise": "beat",
    "analyst_consensus": "buy",
    "analyst_consensus_direction": "stable",
    "insider_activity": {
      "zone": "moderate_buying",
      "net_direction": "buying",
      "quarter": "2026-Q1"
    }
  }
}