Financial data made easy cost-effective solutions for on-demand data

Flexible susbscriptions to help you finding the right solution: from a fully-managed web offer to on-premises data solution, through API access

Data products

Rich data coverage with extensive range of trusted data sources and capacity of client data integration

Reference data

Robust cross-validation workflow with an open architecture to easily integrate new data sources. Request commonly used instrument specification codes, benefit from a unified symbology mapping and run analysis using specific provider fields.

Corporate actions

Intuitive tools to collect and manage accurate market events such as splits, dividends. Integrate corporate actions data within your workflow and visualize market events coupled with other data types such as daily and intraday prices.

Daily data

Scalable daily data collection and normalization with extensive connectors to trusted sources. Samples and building blocks are provided to design bespoke calculations and analytics on top of providers and exchages daily data.

Tick data

Cost effective tick data sourcing, normalization and exploitation solution. Tick data exploitaton capabilities include intraday querying samples, raw provider data extractions in a normalized format, bespoke calculations and much more.

Data solutions

Flexible solutions sitting on the same technology and made available differently to best meet your needs

Ganymede

Web access to on-demand data

  • Access a fully managed web service making available normalized and cross-validated data from trusted sources.

  • Call a wide range of bespoke data extraction and calculation services through our API within a jupyterlab environment.

  • Use your preferred implementation language to request, design and run bespoke data transformations.

  • Get user login and request on-demand data.

API

API access to on-demand data

  • Use your preferred implementation language to call our API.

  • Seamlessly integrate normalized datasets within your workflow.

  • Request a wide range of data calculation, transformation and visualization services.

  • Get API token and request on-demand data.

                          
# import required module to call tick bars service
import systemathics.apis.services.tick_bars as tick_bars

# create the tick bars request
request = tick_bars.TickBarsRequest(instrument_id, bar_size, time_constraints)

# create channel, instantiate the tick bars service and process request
with grpc.secure_channel("apis.systemathics.cloud", credentials) as channel:
    service = tick_bars.TickBarsServiceStub(channel)
    response = service.TickBars(bars_request, token)
                          
                          
                          
// Import required module to call tick bars service
using Systemathics.Apis.Services.TickBars;

var request = new TickBarsRequest 
{
  InstrumentId = instrumentId, 
  BarSize = barSize,
  Constraints = timeConstraints
};

// Create channel, instantiate the tick bars service and process request
var channel = GrpcChannel.ForAddress("https://apis.systemathics.cloud");
var service = new TickBarsService.TickBarsServiceClient(channel);
var response = service.TickBars(request, token);
                          
                          

Managed-solution

Full data management solution

  • Data collection , normalization and cross-validation robust workflow.

  • Extensive data providers connectors and capacity to integrate internal datasets.

  • Rich samples and building blocks of data services: reference data, corporate actions and daily/intraday data.

  • Get license for end-to-end data management on-premises solution.

FAQ

Ganymede is one of Jupiter moons and represents the largest moon in our solar system and the only moon with its own magnetic field.

We continually partner with exchanges and data vendors to provide a representative coverage of trusted financial data. Our robust workflow enables us to have a provider-agnostic approach and better meet our clients expectations: collect raw provider data, normalise, cross-validate and make available on-demand data.

We have a multi-asset approach including including: Equities, Futures, Forex.

Yes, processing tick-by-tick data is a natural result as our mother company provides automated trading solutions covering the whole investment process from strategy selection to orders execution, through backtest and execution simulation on tick by tick data.

Yes, our open and secure data workflow ensures seamless integration of new datasets. Client dataset will be integrated as a provider data; normalized, cross-validated with trusted data sources and made available in a secure manner to respect client privacy and data ownership.

Yes, we provide several easy ways to use our data API using the the language of your choice. In addition to the web-portal access where the API is available within a jupyterlab environment, we provide direct access to the API from your internal and 3rd party tools.

We provide instant access to the on-demand data based on your request. Please do not hesitate to reach out and provide few coverage elements: asset classes, exchanges, data types (daily, intraday, reference data, corporate actions..).

We provide a flexible subscription to historical on-demand data. Our approach consists on defining a watchlist coupled with a history depth so you access the data you need in a normalized and validated format that enables bespoke calculations, analytics and seamless integration within your own workflow.

Trusted by financial industry leaders