ChartIQ Secures Undisclosed Investment from Citi
- With the addition of the Series B capital, and before Citi’s investment, ChartIQ had raised a total of $20 million since 2012.
HTML5-based financial charting provider ChartIQ has secured an undisclosed strategic investment from US banking giant Citi.
The new funding round comes a few months after ChartIQ raised over $17.0 million in Series B funding, led by Germany-based investment firm Digital+ Partners, which focuses exclusively on backing B2B tech startups that generate revenues between €5 million to €25 million.
With the addition of the Series B capital, and before Citi’s investment, ChartIQ has raised a total of $20 million since its founding in 2012.
The latest infusion of new capital focuses on ChartIQ’s Finsemble platform, which allows clients to combine third-party applications into their in-house systems with no additional development work required.
The new funds will allow the Charlottesville-based company to hire more employees and invest heavily in strategic growth areas such as cryptocurrency-related products. ChartIQ currently employs a total of 50 workers globally.
“Citi believes in our vision to unify the desktops of financial institutions. We’re honored that they selected Finsemble as a digital transformation project worth investing in,” said Dan Schleifer, CEO and co-founder of ChartIQ.
ChartIQ provides financial charting and data visualization software to banks, brokerages, financial portals, trading platforms, and research Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Read this Term providers.
Expanding into Crypto Space
ChartIQ has recently expanded its product suite for cryptocurrency traders with a crypto-specific analysis and trading toolkit. The product is considered a charting tool but is bundled with many other features to help traders develop and execute their strategies.
The new offering is the latest in a spate of deals since the trading software maker expanded into the cryptocurrency market, culminating in partnerships with leading bitcoin exchanges like Coinone, BitStamp, and Bittrex, amongst others.
Powered by the HTML5 Charting Library, ChartIQ’s Market Depth Market Depth Market Depth is a characteristic of a given market and its ability to handle large order sizes without materially affecting the price of the underlying asset or currency pair. Broad-based definitions of market depth characterize it as a function of liquidity and trading volume.In its most simplistic sense, market depth reflects a real-time list displaying the quantity to be sold versus unit price. This in turn is organized by price level and is reflective of real-time market activity. In theory, Market Depth is a characteristic of a given market and its ability to handle large order sizes without materially affecting the price of the underlying asset or currency pair. Broad-based definitions of market depth characterize it as a function of liquidity and trading volume.In its most simplistic sense, market depth reflects a real-time list displaying the quantity to be sold versus unit price. This in turn is organized by price level and is reflective of real-time market activity. In theory, Read this Term chart lets traders get access to live streamed price, volume, and order book data from tens of crypto exchanges in real-time.
For the B2B side, it offers a powerful charting engine that can handle heavy loads of cryptocurrency data, together with 100 technical indicators, drawing tools, social sharing and saving capabilities that improve engagement and retention rates for brokerages.
HTML5-based financial charting provider ChartIQ has secured an undisclosed strategic investment from US banking giant Citi.
The new funding round comes a few months after ChartIQ raised over $17.0 million in Series B funding, led by Germany-based investment firm Digital+ Partners, which focuses exclusively on backing B2B tech startups that generate revenues between €5 million to €25 million.
With the addition of the Series B capital, and before Citi’s investment, ChartIQ has raised a total of $20 million since its founding in 2012.
The latest infusion of new capital focuses on ChartIQ’s Finsemble platform, which allows clients to combine third-party applications into their in-house systems with no additional development work required.
The new funds will allow the Charlottesville-based company to hire more employees and invest heavily in strategic growth areas such as cryptocurrency-related products. ChartIQ currently employs a total of 50 workers globally.
“Citi believes in our vision to unify the desktops of financial institutions. We’re honored that they selected Finsemble as a digital transformation project worth investing in,” said Dan Schleifer, CEO and co-founder of ChartIQ.
ChartIQ provides financial charting and data visualization software to banks, brokerages, financial portals, trading platforms, and research Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Read this Term providers.
Expanding into Crypto Space
ChartIQ has recently expanded its product suite for cryptocurrency traders with a crypto-specific analysis and trading toolkit. The product is considered a charting tool but is bundled with many other features to help traders develop and execute their strategies.
The new offering is the latest in a spate of deals since the trading software maker expanded into the cryptocurrency market, culminating in partnerships with leading bitcoin exchanges like Coinone, BitStamp, and Bittrex, amongst others.
Powered by the HTML5 Charting Library, ChartIQ’s Market Depth Market Depth Market Depth is a characteristic of a given market and its ability to handle large order sizes without materially affecting the price of the underlying asset or currency pair. Broad-based definitions of market depth characterize it as a function of liquidity and trading volume.In its most simplistic sense, market depth reflects a real-time list displaying the quantity to be sold versus unit price. This in turn is organized by price level and is reflective of real-time market activity. In theory, Market Depth is a characteristic of a given market and its ability to handle large order sizes without materially affecting the price of the underlying asset or currency pair. Broad-based definitions of market depth characterize it as a function of liquidity and trading volume.In its most simplistic sense, market depth reflects a real-time list displaying the quantity to be sold versus unit price. This in turn is organized by price level and is reflective of real-time market activity. In theory, Read this Term chart lets traders get access to live streamed price, volume, and order book data from tens of crypto exchanges in real-time.
For the B2B side, it offers a powerful charting engine that can handle heavy loads of cryptocurrency data, together with 100 technical indicators, drawing tools, social sharing and saving capabilities that improve engagement and retention rates for brokerages.