OFP

1. Inconsistency Score Rule
The Inconsistency Score is a measure of your consistency. The Inconsistency Score cannot be equal to or higher than the selected account Max Inconsistency Score. The Inconsistency Score can be calculated as the total profit of your best day divided by the total PnL of your reference period. The value of the Max Inconsistency Score depends on the selected model. Having a high Inconsistency Score will NOT result in the closure of the account. Example: The account balance at the start of your trading period (after the first deposit or after a payout) is $154,000. After 13 days of trading, the account balance has increased to $164,132, with a PnL of $10,132. During this period, the best trading day had a profit of $3,200. The Inconsistency Score is 3,200/10,132 = 31,6%. If the following day, the trader closes the day with a profit of $2,000, the new Inconsistency Score is 3,200/12,132= 26,4%. 2. Prohibited trading strategies NB: trading during news is permitted. However, news straddling methods are prohibited as they are not replicable in live market conditions. For this reason, we suggest you avoid trading from 2 minutes before until 2 minutes after the release of a high-risk volatility news. Martingale+hedging (0/3): Martingale involves initiating a larger position in either direction to the original one after experiencing a loss or while the initial position remains open. Hedging, which involves opening opposing positions on the same asset, undermines fair trading and disrupts the integrity of our platform. Failure to adhere to this rule 3 times will result in the closure of your account. Arbitrage: Arbitrage is the practice of exploiting price differences of an asset across different markets or platforms to generate risk-free profit by buying low and selling high simultaneously. Failure to adhere to this rule will result in the closure of your account. High Frequency trading: HFT aims to profit from small price movements in the market by placing trades at extremely high speeds. Failure to adhere to this rule will result in the closure of your account. Gambling: This involves excessive use of leverage and risking a large portion of your account on a limited number of trades. For example, using over x3.5 your most used lot size on a certain pair. Failure to adhere to this rule will result in denial of payout. If a denial happens, the trader will still be able to trade in order to gain profit during the following month. Copy Trading: This involves mirroring trades from any of our accounts to another. Failure to adhere to this rule will result in the closure of your account. News Straddling: News straddling is a strategy where traders open long and/or short positions on an asset just before a major economic news announcement. It is considered prohibited by trading platforms because it can distort real market conditions. To avoid this, it is prohibited to open trades within a specific 4-minute window, starting two minutes before and ending two minutes after a major news event (see list of events in the dashboard). Additionally, this rule does not prevent you from entering a trade before the 4-minute window, holding it throughout, and closing the trade after this window. Failure to adhere to this rule will result in denial of payout. If a denial happens, the trader will still be able to trade in order to gain profit during the following month. Cross Hedging: Hedging across multiple accounts, even those belonging to the same trader, is strictly prohibited. Failure to adhere to this rule will result in the closure of your account. Usage of Public Third-Party Expert Advisors (EAs). Failure to adhere to this rule will result in the closure of your account. Exploiting Inefficiencies of Trading Platforms and Other Practices: This involves exploiting data feeds, including latency arbitrage, reverse arbitrage, gap trading, toxic order flow, account management, tick scalping, and server execution. Failure to adhere to this rule will result in the closure of your account. 3. Trading Behaviour OFP conducts a thorough manual review of accounts when a payout is requested to ensure ethical trading practices have been followed. While OFP proudly supports legitimate traders worldwide, we do not tolerate those seeking shortcuts through system manipulation, hidden software, or gambling behavior. We promote a healthy, long-term trading style that fosters both professional and financial growth. Ethical example: This trader primarily focuses on BTC/USD and prefers to maintain a fixed lot size. His losses are consistently well-managed, as he typically risks around 1% of his capital per trade. He aims for a minimum risk-to-reward ratio of 1.5x to 3x, showcasing a solid approach to risk management. As you can see, both his losses and profits remain controlled, along with the duration of his trades, which are quite similar. This trader has demonstrated exceptional skills and discipline in managing risk. Unethical example: Here, you can see an example of an unhealthy trading style. This trader experienced two significant losing trades: one with a loss of $1405 and another with a loss of $1423. When comparing these to their winning trades, we notice that the losses are approximately 2.5 times larger than their wins. Not only that, but the losses exceed the size of each winning trade. What does this indicate? Lack of a clear trading plan focused on long-term profitability rather than short-term payouts. Poor risk management, contributing to an imbalanced loss-to-profit ratio and inadequate loss control. What could they have done better to qualify for this payout? Avoiding losses that exceed the size of the majority of winning trades. Adopting a consistent risk management approach, with an emphasis on the long-term viability of the account, rather than focusing solely on immediate gains.