Prop firm forTraders has expanded its product catalog by introducing a new $200,000 account under the Pay After Pass model. This modality allows traders to access large-scale evaluations with a reduced upfront cost, moving the bulk of the payment to the stage following a successful examination. With this addition, the company aims to provide a larger-scale alternative for users operating in simulation environments.
How the Pay After Pass Model Works
The Pay After Pass (PAP) system from forTraders differs from traditional evaluations through its cost structure. Instead of paying the full fee upfront, the trader pays a small registration fee to access the evaluation phase. For the new $200,000 account, the list price is $69, although it is currently offered at a promotional launch price of $9.
Once the user reaches the established profit target, they must pay an activation fee of $999 to formalize the transition to the next stage. This model allows operators to validate their strategy on a demo account with minimal initial financial risk.
Technical Specifications and Objectives
The new $200,000 account follows a single-phase evaluation process. The risk and performance parameters are designed for agile trading:
- Profit Target: 2% ($4,000).
- Daily Drawdown: 3% based on balance or equity.
- Maximum Drawdown: 6% trailing drawdown.
- Profit Split: The trader receives 80% of the virtual profits generated.
- Execution Time: There is no maximum time limit to complete the objective, and it is possible to pass the phase in a single trading day.
Platforms and Reward Management
Users can trade this new account through the TradeLocker and cTrader platforms. Regarding reward management, the firm allows on-demand requests, eliminating fixed waiting periods once withdrawal requirements are met.
forTraders Catalog Update
With the arrival of the $200,000 account, the forTraders Pay After Pass line is now structured into four levels of virtual capital: $25K, $50K, $100K, and $200K. All these options operate under the same evaluation principle in demo environments, where the capital provided is virtual and results are based on the trader's performance within these market simulators.
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