Presenting the product, Tapaas Founder and CEO, David Hall, explained that the idea behind the creation of Tapaas was to “bring tick data analytics that had been typically only available to the biggest banks and making it available to retail brokers.” Doing this, Tapaas targets two main areas of risk analysis required by forex brokers; monitoring reconciliation of trades sent for straight-through processing (STP) and reviewing customer order flow when warehousing risk (market making).
Go to 1:07 mark to go directly to the presentation or click here
In terms of market making, Hall explained that in theory, warehousing is a profitable endeavor for brokers as over the long-term “the house wins”. But, the reality is that there might be toxic traders that are eating into a broker's profits that need to be identified.
Hall explained that for many MetaTrader brokers, monitoring order flow and reconciliation is the act of downloading reports from the MetaTrader Manager and uploading them to Excel. However, the fault of this system is that it isn’t based on real-time monitoring and is time consuming.
To provide a solution, Hall explained that Tapaas connects directly to the data centers in order to create a real-time platform for analyzing order flow. The result is a visual display of hedged trades and monitoring of warehoused trades. On the surface, the platform draws from the simplicity of Excel, using the familiar rows, columns, and cell structure. But, Hall stated that early broker users have referred to Tapaas as “Excel on Steroids” for its ability to display data in real-time.
In creating Tapaas, the product has two main components which work together but can be displayed independently; reconciliation and risk exposure. For reconciliation, the system matches data from MetaTrader with executions from liquidity providers. The alerting engine then lets brokers know if there is an error with hedging risk as well as displaying the data visually.
Non-hedged order flow is also analyzed to provide real-time calculation of risk and exposure. Customers can customize exposure levels to receive alerts when risk limits are breached. In addition, the platform displays customer positions and overall risk exposure visually, with brokers being able to click on any cell box for a deeper explanation of the risk and positions.
Among other features, Hall demoed the historical analysis features available with Tapaas. Examples include being able to review select time periods to review how often customers were trading and what were the most profitable securities being traded. Filters can also be made to analyze specific client sets, such as those who trade ten a day or during a specific period. The data is useful for brokers to better understand their clients in terms of where their risk is occurring from and who best to STP.
Beyond the risk side of things, the visual data could also be used by marketing teams to review customer trading habits. The information could then be used to provide more alerts to customers around popular trading periods, such as news releases or promote less active securities.
Presenting the product, Tapaas Founder and CEO, David Hall, explained that the idea behind the creation of Tapaas was to “bring tick data analytics that had been typically only available to the biggest banks and making it available to retail brokers.” Doing this, Tapaas targets two main areas of risk analysis required by forex brokers; monitoring reconciliation of trades sent for straight-through processing (STP) and reviewing customer order flow when warehousing risk (market making).
Go to 1:07 mark to go directly to the presentation or click here
In terms of market making, Hall explained that in theory, warehousing is a profitable endeavor for brokers as over the long-term “the house wins”. But, the reality is that there might be toxic traders that are eating into a broker's profits that need to be identified.
Hall explained that for many MetaTrader brokers, monitoring order flow and reconciliation is the act of downloading reports from the MetaTrader Manager and uploading them to Excel. However, the fault of this system is that it isn’t based on real-time monitoring and is time consuming.
To provide a solution, Hall explained that Tapaas connects directly to the data centers in order to create a real-time platform for analyzing order flow. The result is a visual display of hedged trades and monitoring of warehoused trades. On the surface, the platform draws from the simplicity of Excel, using the familiar rows, columns, and cell structure. But, Hall stated that early broker users have referred to Tapaas as “Excel on Steroids” for its ability to display data in real-time.
In creating Tapaas, the product has two main components which work together but can be displayed independently; reconciliation and risk exposure. For reconciliation, the system matches data from MetaTrader with executions from liquidity providers. The alerting engine then lets brokers know if there is an error with hedging risk as well as displaying the data visually.
Non-hedged order flow is also analyzed to provide real-time calculation of risk and exposure. Customers can customize exposure levels to receive alerts when risk limits are breached. In addition, the platform displays customer positions and overall risk exposure visually, with brokers being able to click on any cell box for a deeper explanation of the risk and positions.
Among other features, Hall demoed the historical analysis features available with Tapaas. Examples include being able to review select time periods to review how often customers were trading and what were the most profitable securities being traded. Filters can also be made to analyze specific client sets, such as those who trade ten a day or during a specific period. The data is useful for brokers to better understand their clients in terms of where their risk is occurring from and who best to STP.
Beyond the risk side of things, the visual data could also be used by marketing teams to review customer trading habits. The information could then be used to provide more alerts to customers around popular trading periods, such as news releases or promote less active securities.
Liquid Embeds Trading in ChatGPT, Challenging Traditional Broker Platforms
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Watch the highlights and hear directly from the people behind the experience
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Watch the highlights and hear directly from the people behind the experience
#tradingrading #Brokerage #ClientExperience #Networking #PSG
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Attendees shared their thoughts on the VIP PSG matchday experience, while WeTrade executives spoke about the growing importance of trust, community, and real-world connections in today’s brokerage space.
Watch the highlights and hear directly from the people behind the experience
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You are listening to Finance Magnates Daily Brief. Brought to you by Finance Magnates Intelligence. Today's Thursday, the twenty first of May 2026, and these are our main stories: CFD broker CMC Markets and Binance both target SpaceX exposure on the same day, IG Japan pauses retail vanilla options trading, and prediction markets expand across brokers and exchanges.
You are listening to Finance Magnates Daily Brief. Brought to you by Finance Magnates Intelligence. Today's Thursday, the twenty first of May 2026, and these are our main stories: CFD broker CMC Markets and Binance both target SpaceX exposure on the same day, IG Japan pauses retail vanilla options trading, and prediction markets expand across brokers and exchanges.
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