Deterministic long‑only order‑flow trading bot with offline paper simulation
It evaluates order‑flow setups using a Context‑Location‑Confirmation model and emits auditable long‑only signals. The Python engine runs locally, validates risk/reward, and can simulate trades via a paper‑trading lifecycle without any broker connection. Traders and developers can use the CLI to test samples, validate setups, and track decisions in JSON journals. Its deterministic design and built‑in safety guards make it a reliable sandbox for strategy research.
View on GitHub →Mohammad-Maraqa/OrderFlow_Trading_Bot