What is the reward share and payout cycle?

The payout cycle is bi-weekly and the trader is entitled to 80% reward.

The trader has the option to increase the reward up to 90% with add-on.

Hence, if all rules are followed by the trader, they can request a reward split every 14 calendar days following the first executed trade on the account, as long as the below given criteria is met:

• Biggest Loss Cannot Exceed Biggest Win: The biggest loss recorded in this account must not exceed the biggest gain achieved in the same account. If this condition is not met, the trader must continue trading until the largest loss no longer surpasses the largest gain.
  
  

• 15% Consistency Requirement: The Consistency score should be up to 15%. The consistency score is calculated as follows: Consistency Score = (Biggest Winning Day / Current Total Account Profit) × 100%. In simple words, it means that the biggest winning day cannot exceed 15% of the total profits made in the account. If the score exceeds 15%, the trader must continue trading until this Score is reduced to 15% or lower. 
  
  For example, the highest profit earned in a day is $5,000, and total profit earned so far is $25,000, then Consistency score = (5000/25000)*100% = 20%. In this case, the trader must keep trading and earn a total profit of at least $33,333 (Additional profit of $8,333), so that the consistency score is brought down to 15%.
  
  
• 3 Profitable Days: By the end of each 14-day period, the trader must achieve at least 3 profitable trading days. The 14-day cycle begins on the date of the first trade executed in the account. A day is considered profitable only if the daily profit equals or exceeds 0.3% of the account balance. If this condition is not met, the trader must continue trading until they have achieved 3 profitable days. After that, he can request a payout. The 14-day period resets at the conclusion of each bi-weekly cycle or upon the processing of a reward.

These criteria ensure disciplined and consistent trading performance, aligning with the Model’s objectives.