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LSEG Analytics LFA SDK for Python

Project description

LSEG Analytics SDK for Python

The LSEG Analytics SDK for Python provides access to LSEG Financials Analytics Services.

Getting Started

$ pip install lseg-analytics-pricing

Usage Examples

An example to create a FX Forward Curve.

from lseg_analytics.pricing.common import (
    TenorType
)

from lseg_analytics.pricing.market_data.fx_forward_curves import (
    create_from_fx_forwards,
    IndirectSourcesSwaps
)

create_from_fx_forwards(
            cross_currency="EURGBP",
            reference_currency="USD",
            sources=IndirectSourcesSwaps(base_fx_forwards="RFB"),
            additional_tenor_types=[TenorType.LONG, TenorType.END_OF_MONTH],
)

Modules Structure

  • async_handler - contains models for asynchronous handling
  • common - contains models that can be used in different API modules
  • helpers - utility functions
  • API modules
    • reference_data
      • calendars
      • floating_rate_indices
    • market_data
      • fx_forward_curves
      • commodities_curves
      • credit_curves
      • eq_volatility
      • fx_volatility
      • inflation_curves
      • interest_rate_curves
      • ipa_interest_rate_curves
      • ircaplet_volatility
      • irswaption_volatility
    • instruments
      • fx_spots
      • fx_forwards
      • bond
      • bond_future
      • cap_floor
      • cds
      • forward_rate_agreement
      • ir_swaps
      • loans
      • options
      • repo
      • structured_notes
      • structured_products
      • swaption
      • term_deposit
    • job_manager
    • templates
      • instrument_templates
    • yield_book_rest

Changelog

2.2.0b2

  • Added more workflow samples for Structured Products.
  • Added/updated below helper functions for Pandas DataFrame conversion in module helpers. Updated the samples to use the helper functions.
    • valuation_to_df
    • risk_to_df
    • cashflows_to_df
    • get_nested_attr
    • sort_by_tenor
    • surface_to_df
    • templates_to_df
  • Integrate with PriceIt v0.2.1
  • Added x-ap-sdk-operation and changed User Agent in request headers to support Telemetry

2.2.0b1

  • Support Telemetry in request headers.
  • Added new module priceit for structured product payoff definitions.

2.1.0

  • Added samples Inflation Swaps Valuation and Capped Floored Swaps Valuation for instruments.ir_swaps.
  • Added sample Structured Notes for instruments.structured_notes.

2.0.0

  • [Breaking Change] Removed Python 3.8 support.
  • [BREAKING CHANGE] Integrate with QPS API IrSwap and Loan 1.0.11810 with following changes:
    • Removed functions solve_polling and value_polling from module instruments.ir_swaps and class IrSwap, added new functions solve_result and value_result
    • Removed functions price_polling and value_polling from module instruments.loans and class Loan, added new functions price_result and value_result
  • Added new module async_handler with the new async classes AsyncRequestResponse and AsyncPollingResponse that originally in the lseg-analytics-core package
  • Integrate with QPS API Job Manager 1.0.11816, added new module job_manager for polling async request status
  • Integrate with QPS API Floating Rate Index 1.0.11469
  • Integrate with QPS API Structured Note 1.0.11162, added new module instruments.structured_notes

1.1.0

  • [BREAKING CHANGE] Integrate with QPS API Instrument Templates 1.0.11376 with following breaking changes:
    • Added new mandatory property underlying_spot_date to class StirFutureDefinition in module instrument_templates
  • Integrate with QPS API IrSwap and Loan 1.0.11406 to support async. The async return model will change in next release
  • Added authentication examples in HTML documentation for service account, user account, user provided token and proxy server
  • Added more API fundamental and workflows examples
  • Added helper functions for Pandas DataFrame conversion in module helpers
    • description_to_df
    • valuation_to_df
    • risk_to_df
    • cashflows_to_df
  • Fixed duplicated structured products examples in HTML documentation
  • Removed unnecessary libraries from dependencies

1.0.0

  • Added 4 new functions request_bond_search_async_get, request_bond_search_async_post, request_bond_search_sync_get and request_bond_search_sync_post in module yield_book_rest for Yield Book Rest APIs
  • Supported sorted samples categories and sorted samples of each category for samples meta json file
  • Integrated with QPS API FinancialContract 1.0.11382
  • Added more fundamental and workflows samples and updated existing samples
  • Package created to support QPS and Yield Book Rest only APIs based on Python SDK 2.1.0b5

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