Our latest product features - Q3, 2022

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New Product Features in 2022

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Shadow Algos

(External + VWAP/TWAP/Participation)

Ability to combine “external” executions with “internal” Quod AI/ML algorithms. The latter can manage two quantities simultaneously: an internal “benchmark” quantity managed and sent in lit pools, and an “external” quantity sent to an external broker using their own logic.

The goal is to source as much liquidity as possible combining external strategy alongside standard internal lit execution. Quantities and prices are adjusted dynamically as progress is made, using real-time and predictive analytics to balance the quantities.

Explore Quod's Algos
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New Custom Calculated Columns in all blotters

As a trader, I want to view in a blotter a relative or calculated value on data that is available. This could be:

  • Date or Value relative to another
  • Alternative format such as increased or decreased decimals
  • Deviation from benchmark
  • Cumulative quantity of various values
  • Flag or Text field for values that match a formula

These new values can be easily introduced using custom columns with simple scripting language.

Temporary Code Two Factor Authentication

You can now configure a temporary code with an expiration time as a two-factor authentication for users logging into Quod. On login the user will be sent a random code to their preferred communication method (email, SMS, etc) which they must enter in their front end as part of the login process.
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Multi-Venue VWAP Curve Construction

For all multi-listed instruments, the VWAP volume curve is built based on the historical volume  observed on all venues the order is set to participate in, including the MTFs. The calculation then combines the volume for all of these to build the VWAP curve. The calculation can also exclude Auction and Dark volumes if necessary.

Execution Strategy Auction Volume Percentage Prediction

Ability to trade during auctions at a target participation rate against a theoretical auction volume. It allows early entry of auction slices and frequent order amendments, increasing in frequency towards the expected uncross. To enable an optimal queue management on amendments, the algorithm sends new orders rather than increasing the volume on existing orders, removing orders on a “last-in-first-out” basis. Many parameters are available to customise the behaviour during an auction phase, in particular the ability to send a Would price to trade aggressively in the last moments of the auction at a user-defined favourable price.

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New Product Features

What we're working on in Quod Financial

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New Product features 2022 Quod Financial

Key Product Features - Q2, 2022

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Data Science in Lille, France - Meet the Team - Quod Financial

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