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---
language:
- en
license: other
extra_gated_prompt: "To get access to this dataset, you must subscribe to Papers With Backtest. To subscribe, go to https://paperswithbacktest.com/ > Login > Choose Your Plan > Subscribe."
dataset_info:
features:
- name: symbol
dtype: string
- name: datetime
dtype: string
- name: missed_liquidity
dtype: int64
- name: exhausted_liquidity
dtype: int64
- name: routed_liquidity
dtype: int64
- name: volume_opportunity
dtype: int64
- name: average_daily_vol
dtype: float64
- name: rolling_daily_vol
dtype: float64
- name: buy_pressure_log
dtype: float64
- name: buy_pressure_pct
dtype: float64
- name: missed_liquid_pct
dtype: float64
- name: exhausted_liquid_pct
dtype: float64
- name: vol_uncaptured
dtype: float64
- name: retail_pressure
dtype: float64
- name: institutional_pressure
dtype: float64
- name: algorithmic_pressure
dtype: float64
- name: retail_institute_ratio
dtype: float64
- name: algo_institute_ratio
dtype: float64
- name: retail_algo_ratio
dtype: float64
---
# Dataset Information
Weekly **Liquidity Market Opportunity** metrics for publicly traded companies, provided by **SOV.AI**.
This dataset describes missed, routed, and exhausted liquidity alongside order flow pressure signals.
- **Coverage**: 10,800+ tickers available from 2022-11-25 onwards
- **Update cadence**: Weekly, after US market close (EST)
- **Fields**:
- `missed_liquidity`: Volume of liquidity missed during the period
- `exhausted_liquidity`: Volume exhausted by executed orders
- `routed_liquidity`: Liquidity routed to venues or market makers
- `volume_opportunity`: Aggregate opportunity volume identified by SOV models
- `average_daily_vol`: Historical average daily volume reference
- `rolling_daily_vol`: Rolling average of daily volume
- `buy_pressure_log`: Logarithmic representation of buying pressure
- `buy_pressure_pct`: Percentage-based buying pressure
- `missed_liquid_pct` / `exhausted_liquid_pct`: Percent of missed and exhausted liquidity
- `vol_uncaptured`: Portion of volume not captured
- `retail_pressure`, `institutional_pressure`, `algorithmic_pressure`: Participant-specific pressure metrics
- `retail_institute_ratio`, `algo_institute_ratio`, `retail_algo_ratio`: Ratios comparing participant pressures
## Data Source
Data provided by SOV.AI.