We at Quantitools strive to offer top-notch data which is cleaned and processed to be ready for analysis and can be grouped together or separated with other exchanges or markets for different analytic purposes.

data processing

Why Quantitools offers first-class data?

Granular orderbook deltas and tick by tick trades

Proprietary standardization process for combining orderbooks and trades datasets of different exchanges

Data consistency ensured by our strict validation procedure1

Redundant collectors to minimize the possibility of data loss2

By traders for traders leveraging years of experience in algorithmic trading

1We collect and store all missing events to facilitate the work of the data analyst.

2Exchange’s APIs are not 100% reliable at times. We minimize the risk of loss but there are things outside of control.


We are collecting our data from multiple exchanges across the globe so first we will talk about which exchanges we work with.

Data Process

After the data is collected from one of those exchanges the data starts getting processed to be reshaped and validated and ready to be offered, in the below figure it shows a general idea of how the data is being processed.

Exchange API

Both the raw data and the processed data are separated in a manner to offer the most granular data we can, we have separated the data by exchange then by type (Book or Trades) then by markets the exchange offers (like futures, spots, swap..etc) then we start separating them by time as in year- month – day , then within day we have all the updates and snapshots for orderbooks and all buy and sell action for trades.

The figure above shows how the data is being saved after collection.
Note: there are multiple machines used to collect to reduce any chance of missing data or issues.

All the data that is collected as shown in the figure above get through more processing to be reshaped into a single shape of data and down below is the data catalog that illustrates how the data looks like when its ready to be offered.

Data Catalog



IDs that are provided by the exchange to mark an entity for it to be unique



Type for action which may include updates, inserts, deletes, snapshots and trades



The local time provided by Quantitools machines



The time of the entity is provided by the exchange itself



The action that is made whether it is bids or asks for book or buys and sells for trades



The amount of the action



The price level of the action

Data Validation

Finally it is very important to mention that we in Quantitools aim to reach confidence in the data we offer that’s why we use multiple methods to validate the data we acquire from the exchanges. One of the methods we use is sequence validation which makes sure that we don’t have any gaps in the data we get by checking the sequence numbers on every record we receive.

A general idea of how the validation works

As shown above, the validation bot runs over the data to check if there are any gaps in the sequence of the data, if it detected any gap it starts filling those gaps from the other machines we have running on our servers then continue with the check back over the first machine and so on.

How Can We Help You?

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Quantitools is a proprietary trading firm specialized in algorithmic and high frequency trading.

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No. 5, 17/F Strand 50
50 Bonham Strand, Sheung Wan
Hong Kong