Arlette

Position:

Advanced Trader

Trading Style:

Day Trading

About Arlette

Arlette is one of the most disciplined and experienced day traders in our community. She has over 8 years of experience and is a master in the high-volatility world of penny stocks, one of the most challenging, but also most rewarding areas of the stock market.

Her discipline, precision and strict risk management are key to her success. She’s not afraid to walk away from a trade if it doesn’t meet the criteria she’s set and it’s because of this discipline that she’s remained consistently profitable for nearly a decade.


Arlette’s Trading Expertise

Arlette is a day trader who specializes in trading penny stocks. She also trades small cap stocks and uses high probability setups with minimum 1:1 to 2:1 reward to risk ratio. She’s a habitual trader who maintains her strict risk management to ensure her money is protected and she consistently trade journals so she can review and optimise for future trades.


Outside of Trading

Arlette only trades 2-3 hours a day so she can center her time around the things that matter most in her life. She enjoys family time, fitness, travel, and she has a passion for global food cultures and culinary experiences. Trading for her isn’t about the money, it’s about the freedom is gives her.


Why Learn from Arlette

Most penny stock traders destroy their accounts within a month, but Arlette has been trading penny stocks for eight years with a 70% win rate. Arlette has thrived by mastering psychological and technical discipline that most traders never develop. If you want to learn how to trade penny stocks without sitting at a screen all day, Arlette is your mentor.


What Arlette Does at Atlantic Trading

  • Shares high probability penny stock setups with the community almost every day
  • Teaches price action and chart pattern recognition
  • Helps members develop the psychological discipline needed for consistent profitability
  • Available to guide members on risk management and trade journaling

 

Blogs by Arlette

  • Market Regimes Explained Blog Header Image
    Learn how to manage the markets and adapt to the conditions that determine your success.

    Market Regimes Explained: Why Trading Strategies Stop Working (And How to Adapt Like a Pro)

    Many traders blame themselves when strategies stop working—but the real reason is often changing market regimes. Learn how to identify trending vs ranging…

    Arlette Profile Image
    Image of Arlette, a day trading mentor at Atlantic Trading.

    Arlette

    March 1, 2026
    5 mins read

    Read Article →

  • why win rate is a terrible metric blog image
    Win rate is a terrible metric, instead there are many other metrics traders should be using to enhance their trading abilities.

    Why Win Rate Is a Terrible Metric (and What Traders Should Track Instead)

    Most developing traders obsess over win rate, believing that being “right” more often leads to profitability. In reality, win rate is one of the most

    Arlette Profile Image
    Image of Arlette, a day trading mentor at Atlantic Trading.

    Arlette

    February 27, 2026
    7 mins read

    Read Article →

  • Trading alerts aren't enough to make you successful blog post header image
    Learn how to use alerts and what will actually make you a profitable trader.

    Why Trade Alerts Alone Don’t Make You Profitable (And What Actually Does)

    Trade alerts are everywhere, but consistency is rare. Learn why alerts alone fail and how professionals use them as part of a larger trading framework….

    Arlette Profile Image
    Image of Arlette, a day trading mentor at Atlantic Trading.

    Arlette

    December 12, 2025
    11 mins read

    Read Article →

  • View All Blogs →

    How we calculate win rates

    We measure win rate using closed trades only, to reflect actual performance, in the past 12 months.

    A trade is classified as:

    • Win → profit after fees

    • Loss → negative result

    • Breakeven → no gain or loss, not included

    Formula

    Win rate % = Wins ÷ (Wins + Losses) × 100

    Example

    • Wins: 89

    • Losses: 11

    Win rate = 89 ÷ (89 + 11) × 100 = 89%

    What we include

    • All trades within the past 12 months from the most recent update

    • Fees and realistic execution

    • Consistent calculation across all our traders

    What we exclude

    • Open trades (trades that are still on-going)

    • Partial updates or scaling entries

    Important

    Win rate alone does not define performance.

    For example, a trader with a lower win rate can outperform if their winning trades are larger than their losses.

    Please remember current performance does not predict or guarantee future performance. You may loose money by following our traders and trading is still very risky.