PULSE ANALYTICS

Pre-trade cost estimates for futures and US equities.

Pulse Analytics is BestEx Research's analytics platform. It delivers cost estimates for orders, as well as estimated and realized trade analytics, through our API, our Python SDK and our Algorithm Management System (AMS One).

from bestex_pulse import Pulse pulse = Pulse() est = pulse.equities.costs.fixed_duration( bestex_id=6386, shares=200_000, date="2026-06-23", start_time="13:31", end_time="14:30", ) est.predicted_total_cost_bps # 10.97 est.predicted_market_impact_cost_bps # 10.24 est.predicted_cost_vs_vwap_bps # 0.73

200,000 shares of AAPL over one hour. Estimates are subject to deviation from realized values.

Quick start

1

Request access

You need an account to use Pulse Analytics. Request access and our team will notify you once your account is enabled.

Request access

2

Install or get a token

With Python, install the SDK; it logs in for you. With any other language, log in for an API token.

pip install "bestex-pulse[pandas]" from bestex_pulse import Pulse pulse = Pulse() # asks for your login

Login options in the Python guide →

3

Price an order

Futures and US equities share the same account and token.

est = pulse.futures.costs.fixed_duration( exchange_symbol="CLZ23", exchange_mic_code="XNYM", ordersize=300, date="2023-10-03", start_time="10:00", end_time="19:00", ) est.total_bps

More examples in the Python guide →

Products

Futures

65+ actively traded futures base symbols

  • Cost estimates for a fixed duration or a fixed participation rate
  • Optimal participation rate with alpha decay
  • Estimated and realized interval analytics
  • Daily trading stats and volume estimates

US Equities

US common stocks and ETFs

  • Cost estimates, single or in batches of up to 500 orders
  • Intraday volume profile and liquidity forecasts
  • Daily and per-minute history
  • Reference data: instruments, exchanges, trading hours, calendar

Python SDK New

pip install bestex-pulse

  • Both products from one client, with login handled
  • Typed results your editor can complete
  • Baskets of any size and pandas tables

Methodology

For complete information about our model's methodology, estimation, and performance, request the research paper.

Support

Email api-support@bestexresearch.com. Your email will create a ticket and alert our API support team.