Step-by-step guides covering prop firm rules, challenge models, risk control, payouts, and funded trading basics.
AI forex trading uses machine-learning, language or statistical systems to support research, signals, execution, monitoring or review. It can organise data and detect patterns faster than a manual workflow, but...
You are ready for a prop firm challenge when your strategy has enough demo evidence, your personal loss limits are stricter than the account’s failure limits, you can explain every...
Backtesting in trading means applying a defined strategy to historical market data to estimate how its rules would have performed. A useful backtest includes realistic costs, a representative sample, drawdown...
A 30-day demo trading plan should test whether your process is repeatable before you pay for a challenge. Spend Week 1 on platform and setup discipline, Week 2 on stable...
Risk of ruin in trading is the estimated probability that a strategy reaches a defined failure threshold before it recovers. For a personal account, ruin may mean a chosen capital...
An Expert Advisor (EA) is software that runs in MetaTrader and follows programmed rules to analyse markets, generate alerts, manage positions or place trades automatically. An EA is not a...
Paper trading usually records hypothetical trades manually, while demo trading uses a platform account with virtual funds and simulated order execution. Paper trading is useful for testing strategy logic; demo...
Trading expectancy is the average amount a strategy is expected to gain or lose per trade over a representative sample. Calculate it as (win rate × average win) − (loss...
Choose between a prop firm reset fee and a new challenge by comparing future cost, rule fit and the probability of needing another attempt. Ignore the fee already lost—it is...
Join AIFO and get access to structured challenges, fast payouts, and a transparent trading environment.
