aat
Unverified Other strategy on Crypto by AsyncAlgoTrading. BotFinder score 18 out of 100.
Asynchronous, event-driven algorithmic trading in Python and C++
Source: github
BotFinder analysis pending.
aat
aat is an asynchronous, event-driven framework for writing algorithmic trading strategies in python with optional acceleration in C++. It is designed to be modular and extensible, with support for a wide variety of instruments and strategies, live trading across (and between) multiple exchanges, fully integrated backtesting support, slippage and transaction cost modeling, and robust reporting and risk mitigation through manual and programatic algorithm controls. Like Zipline and Lean, aat exposes a single strategy class which is utilized for both live trading and backtesting. The strategy class is simple enough to write and test algorithms quickly, but extensible enough to allow for complex slippage and transaction cost modeling, as well as mid- and post- trade analysis. aat is in active use for live algorithmic trading on equities, commodity futures contracts, and commodity futures spreads by undisclosed funds. Overview A complete overview of the core components of aat is provided in the GETTINGSTARTED file. Internals aat's engine is composed of 4 major parts. - trading engine - ris
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Drawdown profile
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Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)