27 articles
A rule-safe guide to using multi-agent LLMs in prop trading: point-in-time data, anti-overfit testing, decision logs, and risk management to stay funded.
Use AI as a prop trading coach for planning, journaling, trading psychology, and risk management—without copying signals. Build guardrails to pass and stay funded.
Use a risk-first prop trading framework to pass evaluations, control drawdown, and build funded trader habits with better trading psychology and risk management.
Learn how prop traders should evaluate AI trading agents, backtest and forward-test properly, and set risk limits to protect a funded account.
Hong Kong excludes prop trading firms from tax breaks. Learn what changes (and what doesn’t) for prop trading, funded traders, trading psychology, and risk management.
Use AI in prop trading without overfitting: a funded-trader framework for validation, risk management, and trading psychology.
Identify whether strategy, execution, or risk management is breaking your prop trading results—then rebuild a funded-trader plan for consistency.
Stop guessing the open. Use one key level and two if/then scenarios to reduce FOMO, improve risk management, and protect drawdown as a funded trader.
Build a Bloomberg-lite news stack for prop trading: real-time headlines, calendars, alerts, and rules to avoid headline traps and protect drawdown.
