Sure Leverage Funding
EA Challenge
1-Step Challenge
Trailing Drawdown
Account Size
$100,000
Price
$759
$531
Save $228
Targets & Drawdowns
Profit Target Step 1
6.0%
Daily Drawdown
4.0%
Max Drawdown
8.0%
Drawdown Type
Trailing
Rules
Time Limit
Unlimited
Profit Split
80%
Payout Frequency
Bi-weekly
Additional Rules
The EA Challenge $100,000 is a 1-step evaluation that requires reaching a specific profit target in a single phase, offering a high-speed path to substantial funding for bot-driven strategies. A 6% trailing maximum drawdown is applied, meaning the loss limit follows the account's highest equity peak and "locks in." On a $100,000 balance, this requires EAs to have exceptionally precise drawdown management, as the liquidation floor moves up with every new high, creating a narrowing corridor for error during equity pullbacks. A static 3% daily loss limit is enforced, resetting at 00:00 UTC based on the higher of the starting balance or equity for that day, creating a firm daily boundary that the EA's logic must strictly respect. The primary challenge at this level is ensuring the EA’s risk settings are perfectly calibrated to the trailing drawdown; as the account grows, the margin for error remains fixed relative to the peak, not the starting balance. There are no minimum trading days, so an efficient algorithm can secure funding immediately upon reaching the target. With no time limits and the ability to hold through news and weekends, this model is ideal for institutional-style EAs that require a continuous, hands-off environment, provided they operate within the 3% daily and 6% trailing risk limits on a professional-grade capital base.
Scaling Plan
The scaling plan for the $100,000 EA Challenge account is designed to support the growth of automated strategies by increasing the initial capital by 25% every time a cumulative profit of 10% is achieved over a four-month period. To qualify, the trader must have successfully completed at least two payout cycles, and the account balance must be at the starting $100,000 capital at the time of the request. This systematic approach allows developers to scale their algorithms from a high-tier base level to multimillion-dollar capital allocations as the EA demonstrates stability and institutional-grade performance.
