In just a few days, you can integrate and customize a lightning-fast financial table with your product. You can make changes or create a completely new interface. You want more? We offer a full access alternative. Data feeds with futures and indices, equities, FX and cryptocurrencies by default. Sign up now to get your data feeds. DXcharts can be integrated with any market data source, as it is data feed-agnostic. Native libraries for all platforms. Native web, native mobile & desktop. Get a solution that is specifically tailored to your product. Analyzing statistics from trading activity can help you evaluate securities and predict their future movements. You can create custom studies with the intuitive dxScript. You can adjust the layout of charts however you like and sync them by instrument, chart type and timeframe, range, studies & appearance.
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As fast as it takes to make a cup of coffee, grab powerful charts and add real-time financial information to your website. Simply copy and paste our iFrame codes, and you're good to go. Our display ratings make it easy to see the technical analysis of a symbol. This widget is ideal for macro-level analysis of the markets. This widget is especially useful on homepages. The widget displays the top five most active stocks, as well as the losing and winning stocks. It updates based upon current market activity so you always see the most relevant stocks. Keep an eye out for announcements and important economic events. You can also set up filters in just a few clicks. Our scrolling ticker tape allows you to go vintage Wall Street. This stock exchange-style ticker can be embedded in just a few clicks. You don't need a power suit or expensive watch.
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Axibase Time Series Database
A parallel query engine designed for efficient access to time- and symbol-indexed data. It incorporates an extended SQL syntax that allows for sophisticated filtering and aggregation capabilities. Users can unify quotes, trades, snapshots, and reference data within a single environment. The platform supports strategy backtesting using high-frequency data for enhanced analysis. It facilitates quantitative research and insights into market microstructure. Additionally, it offers detailed transaction cost analysis and comprehensive rollup reporting features. Market surveillance mechanisms and anomaly detection capabilities are also integrated into the system. The decomposition of non-transparent ETF/ETN instruments is supported, along with the utilization of FAST, SBE, and proprietary communication protocols. A plain text protocol is available alongside consolidated and direct data feeds. The system includes built-in tools for monitoring latency and provides end-of-day archival options. It can perform ETL processes from both institutional and retail financial data sources. Designed with a parallel SQL engine that features syntax extensions, it allows advanced filtering by trading session, auction stage, and index composition for precise analysis. Optimizations for aggregates related to OHLCV and VWAP calculations enhance performance. An interactive SQL console with auto-completion improves user experience, while an API endpoint facilitates seamless programmatic integration. Scheduled SQL reporting options are available, allowing delivery via email, file, or web. JDBC and ODBC drivers ensure compatibility with various applications, making this system a versatile tool for financial data handling.
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CRBN.Credit
CRBN.Credit serves as a comprehensive institutional platform for the Voluntary Carbon Market, consolidating real-time pricing information from both traditional registries and on-chain liquidity pools located on Polygon and Celo. This streamlined dashboard effectively connects EU ETS compliance markets with voluntary offsets, thus eliminating the complications associated with monitoring disparate data sources.
The service employs AI-enhanced VWAP price feeds sourced from centralized exchanges and decentralized pools, systematically filtering out wash trading to ensure the integrity of data provided to hedge funds, sustainability departments, and trading algorithms. Additionally, advanced machine learning models are utilized to project carbon credit prices for the year 2030, aiding institutions in developing long-term carbon strategies.
By tokenizing credits on the Polygon network, CRBN.Credit facilitates T+0 atomic settlements, which removes counterparty risks and offers cryptographic proof of retirement, thus addressing the issue of double-counting. Furthermore, its direct API integrations seamlessly fit into automated trading platforms and desk operations. The platform also adapts to the evolving landscape of carbon credits, including the transition from avoidance credits to removal credits such as Biochar and Direct Air Capture (DAC), ensuring it remains relevant in a dynamic market.
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