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Breaking Down the Trade Patterns Behind a $13,440 Withdrawable Profit

In this edition of Leveraged Success Stories, we analyze a trader who mastered the art of “Asymmetric Returns.” Unlike many scalpers who rely on high win rates to cover large losses, this trader built a money-printing machine where the winners were significantly larger than the losers. Trading on a $100,000 Funded Turbo account, this trader achieved a stunning Profit Factor of 4.05 – meaning for every dollar lost, four dollars were earned. The result? A massive $13,440.00 profit share withdrawn on October 27 via Crypto. And the best part? Unlike many who crash after a payout, this trader is still active, sitting on a balance of $109,409, ready for the next run. But what’s most interesting isn’t just the payout, it’s how he got there.

Profit Factor 4.05: Gold & Bitcoin Specialist
Case Study: Dual-Asset Specialist

THE $13,440 ASYMMETRIC EDGE

How a Gold & Bitcoin specialist achieved a 4.05 Profit Factor by mastering positive Risk/Reward — proving that winners twice the size of losers creates unstoppable momentum.

Total Payout

$13,440

Withdrawn via Crypto

Profit Factor

4.05

$4 Earned Per $1 Lost

Win Rate

64.7%

Consistency Meets Edge

Avg Win / Loss

$117 / $53

Positive 2.2:1 RRR

01 // THE WITHDRAWAL CLIFF

The equity curve shows steady growth from late October through November, peaking at $117,642 on Nov 27. The dramatic vertical drop represents the $13,440 withdrawal. Post-payout, the account remains healthy at $109,409.

02 // ASSET ALLOCATION

A specialist, not a generalist. 85% of trades on XAUUSD (Gold) with strategic Bitcoin positions for overnight swings.

03 // THE MATH EDGE

Average Win ($117) is 2.2x larger than Average Loss ($53). Combined with 64.7% accuracy, this creates a statistical fortress.

04 // THE HOME RUN TRADE

December 4, Ticket #2262947: A single 10-hour Gold position netted $2,825 — catching the bottom at $4,177 and riding to $4,217. This demonstrates the power of patience over panic.

Entry: 05:53 AM at $4,177.82 (within $3 of daily low)

Exit: 16:17 PM at $4,217.54 (near daily high)

Duration: 10 hours 24 minutes

Profit: +$2,825.20 (2.83% gain)

DATA BASED ON VERIFIED XAUUSD & BTCUSD TRADE HISTORY

Past performance is not indicative of future results. Trade responsibly.

The Journey: A Textbook Equity Curve

The Balance curve for this account is what every prop trader strives for: a steady, stair-step climb followed by a strategic exit. The “Cliff” of Success: Midway through the chart, you will see a dramatic vertical drop. As always, in the context of a funded account, this is the most beautiful sight on a chart. It represents the $13,440 withdrawal. The trader successfully transferred the risk from the market to their bank account, securing the win. Following the withdrawal, despite facing some volatility, the account remains healthy. The equity currently sits at $109,409.46, proving that the trader successfully reset their mental state after the payout.

prop trading success story

In the early days of the account, the trader kept his exposure light. His first series of positions on October 30 were longer-duration buys on XAUUSD, holding between 3–4 hours and netting steady gains like:

  • $202.95, $184.95, $129.96, $136.98 on clustered buys
  • Earlier that morning: +$312.66, +$205.29, +$204.84 on a structured accumulation sequence

This early activity set the tone: small clusters, moderate exposure, and a strong preference for letting price work into profit rather than over-trading. These early wins were instrumental in pushing the account toward the first major equity lift – ultimately allowing him to secure his first cycle of payouts.

The Mathematics: The “Holy Grail” Stats

If we look at the statistics, this trader differs significantly from the previous Gold scalper we analyzed who struggled with negative RRR.

  • Win Rate: 64.72%
  • Profit Factor: 4.05
  • Average Win: $117.04
  • Average Loss: -$52.97

The Positive RRR Edge: This is the key to the trader’s longevity. Their Average Win was more than double (2.2x) their Average Loss. When you combine a 64% Win Rate with a 2:1 Reward-to-Risk ratio, you create a statistical edge that is incredibly hard to break. This allowed the trader to absorb strings of small losses without ever threatening the Daily Loss Limit. The most distinct behavior that the trader displays a split personality in trading strategy. 80% of the ticket volume is trades lasting less than 15 minutes, which often result in small profits (10 – 50) or small losses. However, the real profit comes from holding or swing trading strategies.

prop trading success story

Asset Choice: The Dual-Asset Sniper

This trader did not stick to a single asset. They rotated capital between the two most volatile instruments on the board: XAUUSD (Gold) and BTCUSD (Bitcoin). Over 85% of his trades are on Gold trading and 15% are scattered in Bitcoin. This trader is a specialist, not a generalist. He treats Gold not just as an asset, but as a relationship because he understands its volatility profile intimately, which explains why he is willing to short it aggressively even when it is trading at record highs.

This mirrors the approach of the Bitcoin specialist we recently featured, but with an added twist: this trader used Bitcoin for overnight swings and Gold for intraday volatility.

  • Bitcoin: Used for longer-duration holds (e.g., Ticket #2106063 held for 9+ hours).
  • Gold: Used for rapid scalps and intraday trends (e.g., Ticket #2162536 held for 11 minutes).
prop trading success story

Case Study: The 10-Hour Gold Trend (+$2,825)

This trader has his most profitable trading period from mid-November through November 26. The equity chart confirms that nearly all of the account’s upward acceleration happened during this phase. However, on December 4, the trader executed their single best trade of the cycle, demonstrating patience that is rare among retail Forex traders.

  • Ticket: #2262947
  • Asset: XAUUSD (Buy)
  • Result: +$2,825.20
prop trading success story

The Setup: The trader entered a Long position at 05:53 AM (pre-London). Instead of taking a quick $200 profit when the London session opened, they held. They held through the London Open. They held through the New York Open.

The Payoff: By holding the position for 10 hours and 24 minutes, they caught the entire daily expansion, riding Gold from 4177.82 to 4217.25. This single trade, which risked very little (based on their average loss of $53), delivered a 50R return. The trader is significantly more profitable when they hold positions (Trend Following) than when they scalp. The scalping often looks like “noise” or anxiety while waiting for the big move.

prop trading success story

The Context: Sniping the Low After a Failed Asia Session

This trade wasn’t just about clicking a button; it was about adaptation and patience. Heading into the day, Gold (XAU/USD) was bullish, moving toward All-Time Highs after breaking the mid-November swing high. Price was consolidating just above the psychological level of $4,200. During the Asian session, the trader actually tried to buy this consolidation multiple times. Most of these attempts resulted in losses or scratch trades as the market chopped around.

When Gold finally broke below $4,200, the trader didn’t chase it. They stopped trading. They waited nearly 4 hours for the market to find a true bottom. This pause saved them from the drawdown that trapped other buyers. Just before the London Open, the trader identified a deep discount. They pulled the trigger at $4,177.82. The low of the entire day was $4,174. This means they caught the bottom of the daily range within $3. Because it was a relatively “slow day” compared to the previous week’s volatility, realized gains required holding time. The trader held through the London session and exited during the London/New York overlap. They closed the trade at $4,217.25 – almost exactly at the high of the day.

The Lesson: The trader failed to buy the breakout (above $4,200) but succeeded brilliantly by buying the pullback (at $4,177). Sometimes, the best trade comes after you stop trying to force the market and simply wait for price to come to you.

prop trading success story

The “Worst” Trade: Small Risk = Big Safety

Perhaps the most important statistic on the dashboard is the Worst Trade of -$309.60. On a $100,000 Turbo account, the Max Daily Loss Limit is $3,000 (3%). Many traders fail because they risk 1% or 1.5% per trade. If they lose just two trades in a row, they are already at the limit.

Why this account is still alive: This trader’s worst single loss was only 0.3% of the account. This granular position sizing acts as a massive buffer. To breach the Daily Limit, this trader would effectively need to lose 10 times in a row in the same day. This statistical buffer allows them to survive bad sessions without hitting the hard stop, keeping them in the game long enough for their edge to play out.

prop trading success story

Psychological Profile: The “Revenge” Trader

The behavior on December 3rd and 4th tells a story of panic, roughly around 23:45 PM, the trader exhibits classic “Tilt.” Even successful traders have their ‘Tilt’ moments. However, unlike amateurs who blow their accounts here, he stabilized. He took the small losses and survived to trade the next session. His success isn’t the absence of emotion, but the containment of it.

  1. Dec 3 (The Loss): They try to trade XAUUSD and take losses (Tickets 2234691, 2234692). They are down roughly -$600+. Because they don’t use SLs, one sudden news spike (like NFP or CPI) will wipe this account to zero instantly because they have so many open “layers” at once.
  2. Reaction: Immediately switched to BUY orders shortly after.
  3. Psychology: This is “Chasing Price.” The trader got stopped out (or panicked) on a short, felt the market was going up, and immediately aggressively bought. Both directions resulted in losses. This indicates a loss of emotional control and lack of clear trading bias at that moment.
  4. Dec 4 (The All-In): The very next day, at 05:53 AM, they open Ticket 2262947.
  5. The Tell: They upped the lot size to 7x normal size (based on commission). They decided to “win it all back” in one trade.
  6. Result: They got lucky and won $2,825.
  7. Aftermath: Immediately after that big win (Dec 5 onward), they went back to small lot sizes to “protect” the profit.
prop trading success story

What Traders Can Learn

  1. Fix Your RRR: This trader proved that longevity comes from math. A common theme in enduring trader success stories is the ability to ensure the average win ($117) was double the average loss ($52), building a robust buffer against market volatility.
  2. Diversify Volatility: By trading both Gold and Bitcoin, the trader always had a chart moving. When Gold was choppy in the Asian session, they looked at Bitcoin; when Bitcoin stalled, they switched to Gold for the NY session.
  3. Granular Risk Management: Don’t use up your entire daily limit on one trade idea. By risking only ~0.3% per trade (as seen in their worst loss), you give yourself multiple “bullets” to fire. You can afford to be wrong several times in a day and still finish green.
  4. Consistency Over Hero Trades: While he had a few strong runners, the majority of his account growth came from dozens of $30–$150 wins. This is what professional execution looks like.

Conclusion

With a Profit Factor of 4.05 and a $13,440 payout, this trader goes down as one of the most statistically efficient traders we have seen among our trader success stories. The withdrawable profit wasn’t the result of luck or a single oversized trade but it came from a structured, repeatable system on gold, executed with discipline for nearly a full month. They secured the bag, proved the power of positive Risk/Reward, and by keeping their individual trade risk microscopic, they have ensured their longevity in the markets.


Disclaimer: The analysis provided in this article is based on a retrospective look at the charts and represents the personal opinion of the author. At Leveraged, we do not dictate specific trading strategies. Our traders maintain full autonomy over their trading style and decisions, provided they operate within our Risk Management parameters and Terms & Conditions.

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