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tradesimr  

Execution and Simulation Engine for Trading Strategies
View on CRAN: Click here


Download and install tradesimr package within the R console
Install from CRAN:
install.packages("tradesimr")

Install from Github:
library("remotes")
install_github("cran/tradesimr")

Install by package version:
library("remotes")
install_version("tradesimr", "0.18.7")



Attach the package and use:
library("tradesimr")
Maintained by
Oliver Zhou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-10-08
Latest Update: 2026-10-08
Description:
An R-native trading simulation package with a C++ execution core that turns strategy intentions and explicit orders into simulated trades, positions, cash, profit and loss, risk, and performance outputs under configurable execution, margin, funding, and cost assumptions. The package provides historical replay, incremental exchange stepping, durable event tables, append-only agent command logs, registered assets, per-agent shared-cash cross-margin live accounts, AI agent competitors, scheduled live-feed stepping, strategy-backed AI agents with diagnostics, calibrated and coordinated multi-asset market simulation with static covariance, AR-GARCH, factor, and regime models, durable per-feed simulation state, profile-aware heterogeneous inventory and margin execution with atomic mixed-profile order groups, optional portfolio-margin enforcement through a multi-asset C++ step kernel, local live-service APIs, import/export helpers, separate replay, live-state, and agent dashboard exports, and installed local orchestration scripts. It is designed to consume signals, order intents, or target exposure decisions from compatible strategy packages and market data from compatible adapters.
How to cite:
Oliver Zhou (2026). tradesimr: Execution and Simulation Engine for Trading Strategies. R package version 0.18.7, https://cran.r-project.org/web/packages/tradesimr. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Full tradesimr package functions and examples
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