Comprehensive Canadian Broker Analytics Dataset Package
Daily Stats
Daily stats provides insights into market share by broker through a more detailed view into trade volume by broker for various trading sessions and order types, subject to broker attribution.Leveraging broker attribution, Daily Stats generates insights on the trading activities of a broker such as dark percentage of volume and how many shares are traded in Market-on-Close and Market-on-Open.
Liquidity
Liquidity contains broker-specific quoting analytics at multiple order book levels beyond top of the book. This unique dataset provides an enhanced view into displayed liquidity by brokers to help understand liquidity dynamics and market share contributed by each broker, subject to broker attribution.
Summary
Liquidity Summary contains ETFs only; Broker Summary contains spread and volume metrics segmented by broker on each ETF name.
Specifications
![Delivery Format](/assets/application/img/icon-spec-delivery-format.png)
Delivery Format
- JSON
- Hive Tables
![Delivery Channels](/assets/application/img/icon-spec-delivery-channels.png)
Delivery Channels
- API
- Cloud (TMX Investments Analytics Workbench)
- Google Workspace Marketplace (available Q1 2025)
![Coverage](/assets/application/img/icon-spec-coverage.png)
Coverage
- All Canadian listed stocks and ETFs (4,300 equities)
![Frequency](/assets/application/img/icon-spec-frequency.png)
Frequency
- Daily (T+1)
![History](/assets/application/img/icon-spec-history.png)
History
- 5 years
![Product Launch Date](/assets/application/img/icon-spec-launch-date.png)
Launch Date
- 2019
Use Cases
ETF Issuers
How TMX Broker Analytics data addresses needs
Monitor the performance of market makers: Access the trusted source of information regarding broker-level trading activities and their performance including bid/ask spreads, volumes, and number of days traded for each ETF in a consolidated format. This helps ETF issuers gauge the performance of each market maker independently.
Asset Managers
How TMX Broker Analytics data addresses needs
Liquidity analytics at different levels of the order book: Gain insights into the liquidity measures including quoting percentage and bid/ask size at different notional values ($100K, $200K, $500K) of the order book. Portfolio managers can use these measures to make informed decisions regarding the ease of trading each asset in their portfolios.
Resources
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