From a $8.88 Start to $8,350 in Two Payouts: The Ultimate Turbo Success Story
In this edition of Leveraged Trader Success Stories, we travel to the Philippines to spotlight a trader who proves that in this industry, your ego is your biggest enemy, and math is your best friend. While many trader success stories focus on flawless accuracy and high win rates, this trader took an entirely different path.
Trading on a $150,000 Refuel Turbo Funded account, this trader recently secured their second payout of $4,957.60. Combined with their first payout of $3,392.80, they have now withdrawn a total of $8,350.40.
But what makes this performance truly spectacular is the pathway they took to get there. They didn’t win most of their trades. In fact, their win rate was under 50%. Yet, by utilizing the unique structure of the Leveraged Turbo program and executing with ruthless discipline during the Asia/London crossover, they crushed their targets.
$8,350 IN 2 PAYOUTS
The Philippines-based trader who proved that winning fewer than half your trades is not a liability — it’s a feature. With a 47.62% win rate, a 2.0 profit factor, and ruthless discipline during the Asia/London crossover, they extracted $8,350 from a $150,000 Refuel Turbo account through asymmetric risk management.
Total Payouts
$8,350.40
$3,392.80 + $4,957.60
Win Rate
47.62%
10 Wins / 11 Losses
Avg Win / Loss
$1,256.70 / $569.81
2.21 Win Ratio
Profit Factor
2.00
21 Total Trades Executed
01 // THE EQUITY JOURNEY — STEADY DRIFT TO $156,197
02 // BUY VS. SELL PERFORMANCE — THE DIRECTIONAL EDGE
03 // HOLD TIME PARADOX — PATIENCE PAYS
04 // INSTRUMENT BREAKDOWN — GBPAUD DOMINANCE
| Asset | Trades | W / L | Win Rate | Net PnL | Notes |
|---|---|---|---|---|---|
| GBPAUD | 9 | 5 / 4 | 56% | +$3,151.80 | Bread & Butter |
| XAUUSD | 3 | 2 / 1 | 67% | +$2,690.40 | Heavy Hitter |
| BTCUSD | 7 | 2 / 5 | 29% | -$122.26 | Probe Asset |
| GBPJPY | 1 | 1 / 0 | 100% | +$1,029.21 | Single Win |
| US30 | 1 | 0 / 1 | 0% | -$450.00 | Single Loss |
05 // THE 60-SECOND BIAS FLIP — PSYCHOLOGY MASTERY
THE LOSS — Ticket #3605224
Asset: XAUUSD (Buy)
Time: Feb 10, 14:44:20 PM
Duration: 58 seconds
Loss: -$865.20
Trigger: Rejected at HTF resistance
THE WIN — Ticket #3606952
Asset: XAUUSD (Sell)
Time: Feb 10, 14:45:35 PM (+17s)
Duration: 52 minutes 6 seconds
Profit: +$3,453.60
Setup: Bearish momentum reversal
06 // THE EDGE — ASYMMETRIC RISK MASTERY
- Average Win ($1,256.70) is 2.21x larger than Average Loss ($569.81)
- 47.62% win rate proves strike rate is irrelevant with proper sizing
- Profit factor of 2.0 confirms robust statistical edge across 21 trades
The Vehicle: The “Turbo & Refuel” Advantage
Before we dive into the charts, we have to understand the account type this trader used to achieve these results: the Leveraged Turbo program combined with Unlimited Refuel.
Most traditional prop firms require large, upfront evaluation fees, forcing traders to risk heavy capital before they even know if they will pass.
- The Turbo Difference: This program allows traders to start their evaluation for just $8.88. You only pay the full simulation fee after you successfully pass Phase 1. It removes the upfront financial barrier.
- The Unlimited Refuel: In standard prop trading, a “hard breach” sends you all the way back to the beginning of the evaluation phase. But with the Refuel feature, if a trader breaches their funded limits, they can simply pay an activation fee to bypass the evaluation entirely. Their $150,000 funded account is instantly restored to its initial balance, allowing them to get straight back to earning.
Like other notable trader success stories, this trader used the Refuel feature to maintain their momentum and skip the line, leading directly to this $4,957.60 payout. This is the exact same compounding approach we witnessed in 2 Payouts, 1 Strategy: How a “Refueled” Trader Banked Over $11,000 in 10 Days.
The Journey: The Upward Drift
The Equity Curve from February 4 onward is a beautiful display of steady progression. Instead of wild spikes and deep valleys, the account shows a smooth upward drift, peaking at $156,197.16. The trader generated nearly $6,300 in gross profit before requesting the withdrawal. This is what controlled trading looks like. The trader stayed close to the baseline early on, then slowly stacked gains – avoiding unnecessary risk while letting momentum build over time.
Unlike most retail traders who only trade EURUSD or indices, this trader’s “cash cow” is GBPAUD, an exotic/minor cross pair known for high volatility. Furthermore, they display a rare psychological trait: the ability to instantly “Stop-and-Reverse” a bias when proven wrong.
The Mathematics: Losing More Often Than Winning
If you look at the dashboard statistics, you will see a trading profile that perfectly illustrates the concept of “Asymmetric Risk.” This trader’s trading edge comes from balance – not extremes.
- Total Trades: 21
- Win Rate: 47.62%
- Profit Factor: 2.0+
- Average Win: $1,256.70
- Average Loss: -$569.80
The Edge: This trader won fewer than half of their trades (47.62%). If they traded with a 1:1 risk-reward, they would be losing money. However, their Average Win ($1,256) is more than double (2.2x) their Average Loss (-$569). Because they cut their losers fast and let their winners run, they can afford to be “wrong” most of the time and still generate an $8,350 income. This perfectly mirrors the mathematical principles we saw in Surviving 100+ Losses to Earn $30,521 in Just 2 Payouts With Just 20% WR.
Visualizing Consistency: Inside the Trading Calendar
How does a trader with a sub-50% win rate actually make money? The answer lies in the Trading Calendar. While they may lose individual trades, they almost never lose the day. A look at their February activity reveals incredible daily consistency:
- The 8-Day Run: The trader was active for 8 distinct trading days between Feb 5 and Feb 13.
- 7 Out of 8 Green Days: They finished in the green on 7 of those days, consistently banking roughly ~$1,000 per session.
- The Single Red Day: Their only losing day was Saturday, Feb 7, where they took a microscopic -$225.20 loss and was driven entirely by four BTC long trades going wrong.
- The standout day is 10 February – which saw 5 consecutive losses before a rescue trade, netting +$234 on the day. An extraordinary day from a behavioural standpoint.
This calendar proves that their daily risk management is elite. They stop trading when they hit their daily profit goal, and they cut their days short if the market isn’t cooperating – a powerful habit shared by the trader in How a UAE Scalper Scaled Up to $6,791 in 3 Payouts.
Asset Choice & The Timezone Edge
Trading from the Philippines provides a unique geographical advantage: perfect alignment with the Asia and London sessions. This is important because these trading sessions often provide early range setups (Asia) and breakout and expansion moves during the London open. A review of the trading history PDF reveals that the trader exploited this timezone overlap perfectly. Instead of forcing trades in a sleepy market, they heavily targeted GBP crosses (GBPAUD, GBPJPY) during the London Open, alongside volatility plays on XAUUSD (Gold) and BTCUSD.
Note: Trading pairs like GBPAUD and GBPJPY is not for the faint of heart. The fact that this Forex trader prefers these over standard majors like EURUSD shows they specifically hunt for high Average True Range (ATR) instruments where their winners will run fast and far.
Instrument Performance Breakdown
GBPAUD dominates the portfolio by trade count (43%) and is the primary profit engine ($3,151). XAUUSD contributes the highest single-trade return. BTCUSD is the only net-losing instrument, with a 29% win rate across 7 trades. GBPJPY and US30 each appear once, suggesting opportunistic rather than systematic participation.
| Symbol | Trades | W | L | WR | Net PnL | Notes | Trading |
| GBPAUD | 9 | 5 | 4 | 56% | $3,151.80 | High Commission | The Bread and Butter. |
| BTCUSD | 7 | 2 | 5 | 29% | −$122.26 | ⚠ Loss-Making | The “Probe” Asset. |
| XAUUSD | 3 | 2 | 1 | 67% | $2,690.40 | High Value | The Heavy Hitter. |
| GBPJPY | 1 | 1 | 0 | 100% | $1,029.21 | Single Win | Perfect execution. |
| US30 | 1 | 0 | 1 | 0% | −$450.00 | Single Loss | One short-lived failed trade. |
Hold Duration vs. Performance
The relationship between hold time and outcome in this dataset is one of the clearest signals visible. The shorter the hold, the worse the performance – with dramatic consistency.
| Hold Duration | Trades | Wins | Losses | Win Rate | Net PnL | Signal |
| < 15 minutes | 6 | 1 | 5 | 17% | −$3,022.47 | CRITICAL DANGER |
| 15 – 60 minutes | 7 | 4 | 3 | 57% | $3,543.14 | ✓ STRONG |
| 1 hour – 7 hours | 4 | 3 | 1 | 75% | $4,216.07 | ★ BEST ZONE |
Critical takeaway: Trades under 15 minutes generated a collective loss of $3,022 – nearly wiping out the entire period’s profit. This trader’s proven edge is in patient, held positions. Every impulse entry under 2 minutes is destroying alpha.
Buy vs. Sell Performance
The directional split reveals one of the most important structural insights of this analysis: SELL trades generate 6.9x more profit per trade than BUY trades, yet 76% of all positions are taken long.
| Direction | Trades | Wins | Win Rate | Net PnL | Avg PnL/Trade |
| BUY (Long) | 16 | 7 | 43.8% | $1,997.85 | $124.87 |
| SELL (Short) | 5 | 3 | 60.0% | $4,301.30 | $860.26 |
Structural concern: The trader’s five SELL trades achieved 60% win rate and averaged $860/trade. The 16 BUY trades achieved only 43.8% and $125/trade. If the trader redirected even 30% of BUY allocations toward SELL setups, projected portfolio profit would increase significantly. This is the single most actionable structural improvement available.
Case Study (The Masterclass): The 60-Second “Bias Flip”
To truly understand why this trader is successful, we only need to look at two specific trades that occurred on February 10. These two trades highlight the trader’s “Best” and “Worst” trades of the cycle, and they happened almost simultaneously, executed within seconds of each other. This rapid psychological pivot is a trait we see frequently in the best trader success stories, echoing the adaptability found in One Day, One Trade War, One Payout: The Power of the Sprint Challenge.
The Macro Context:
Since the start of February, Gold had been steadily recovering from a historical crash (dropping from a $5,602 ATH to a $4,402 low). However, on February 10, the short-term rally was approaching a massive Higher Time Frame (HTF) resistance level near $5,090.
The Setup (The “Worst” Trade):
At 14:44:20 PM, the trader bought Gold (XAUUSD), anticipating a breakout higher.
Almost immediately, the market rejected the move and began to drop. Most traders would freeze, hoping it comes back. This trader didn’t. They cut the loss in just 58 seconds.
- Result: -$865.20 (Ticket #3605224)
The setup: Seeing a clean intraday support/resistance zone on a minor pullback, the trader bought Gold, expecting the rally to continue. However, they overlooked the HTF resistance looming above. The price rejected violently and began to drop fast. Most retail traders freeze here, hoping for a bounce so they can exit at breakeven. Not this trader. Recognizing the velocity of the drop, they cut the loss in just 58 seconds.
The Reversal (The “Best” Trade):
Here is where the magic happens. Exactly 17 seconds after cutting that loss, the trader realized the momentum was aggressively bearish. They abandoned their bullish bias instantly and went Short on Gold at 14:45:35 PM, riding the downside momentum they had just fallen victim to. They held this short position for 52 minutes as the market tumbled.
- Result: +$3,453.60 (Ticket #3606952)
This sequence is a masterclass in trading psychology. The trader took an $865 hit, swallowed their pride, flipped their bias in 17 seconds, and caught a $3,450 ride in the opposite direction.
The Perfect Exit: They didn’t get greedy. They closed the short right at a key intraday support level just above the massive psychological barrier of $5,000. The market proved this exit was flawless, as Gold bounced from that exact support area the very next day.
Spotlight: The February 10 Spiral & Recovery
February 10 is the single most revealing trading session in this dataset. In the space of approximately 2 hours, the trader executed 5 consecutive losing trades across 4 different instruments, then reversed into the largest single win of the entire period. This sequence merits forensic examination.
| Ticket | Symbol | Side | Duration | PnL | Narrative |
| #3601623 | GBPAUD | SELL | 43m12s | −$778.13 | Loss #1 – wrong-way GBPAUD sell |
| #3603728 | US30 | SELL | 12m7s | −$450.00 | Loss #2 – switched to US30, wrong direction |
| #3604913 | BTCUSD | BUY | 3m1s | −$544.22 | Loss #3 – switched to BTC, quick loss |
| #3605007 | BTCUSD | BUY | 1m25s | −$581.94 | Loss #4 – doubled BTC immediately, loss again |
| #3605224 | XAUUSD | BUY | 58s | −$865.20 | Loss #5 – switched to XAU, biggest loss yet |
| #3606952 | XAUUSD | SELL | 52m6s | +$3,453.60 | RECOVERY – reversed XAU, biggest single win |
Diagnosis: This is a textbook loss-recovery spiral. After the initial GBPAUD sell loss, the trader switched instruments (US30, then BTC, then XAU) – each time increasing urgency and risk. The trades became progressively shorter in duration (43m → 12m → 3m → 1.4m → 58s), indicating escalating panic. The recovery trade worked, but this was not a strategy – it was a gamble at elevated size that happened to succeed. In another scenario, this sequence ends in the account’s largest drawdown.
Unique Trading Behaviors (The Secret Sauce)
This trader displays several highly advanced behavioral traits that separate them from average retail traders:
“Bottom-Fishing” with Hard Stops (GBPAUD Layering)
Similar to the “Volatility Farmer” analyzed previously, this trader probes for entries, but with much stricter risk management.
- Evidence: Look at the GBPAUD trades on February 13:
- 01:06:30 AM: Buys GBPAUD (Stopped out in 1m 11s for -$752.83).
- 01:06:37 AM: Buys again (Stopped out in 1m 4s for -$362.23).
- 01:08:27 AM: Buys a third time. This time, it catches the exact bottom. They hold the trade for 4 hours and 7 minutes, netting +$2,109.37.
- Takeaway: They took two sharp, paper-cut losses to find the exact reversal point, ultimately generating a massive net positive return on the sequence.
Professional Pre-Defined Risk (SL / TP Usage)
Unlike many scalpers who trade “naked” (relying on manual exits), a look at the SL (Stop Loss) and TP (Take Profit) columns shows that this trader uses hard limits on almost every single trade.
What Traders Can Learn
- Zero Ego Trading: The Gold trade sequence proves that elite traders don’t care about being “right” – they care about making money. If the market shows you your trading thesis is wrong, cut the loss short and trade the price chart in front of you.
- Math Beats Strike Rate: You do not need a 70% or 80% win rate to secure payouts. A 47% win rate is highly profitable if your winners are 2x the size of your losers.
- Maximize Your Timezone: Living in Asia gives you prime access to the London Open. By focusing on GBP pairs during this crossover, the trader capitalized on peak liquidity without having to stay awake through the middle of the night for the US close.
- Leverage the Right Program: By utilizing the $8.88 Turbo start and the Unlimited Refuel bypass, this trader minimized their upfront risk and maximized their time spent in a funded environment.
- HTF Context Trumps LTF Setups: The trader’s initial loss happened because an intraday (LTF) setup was crushed by a major (HTF) resistance level. Always zoom out before entering a trade.
- Let Winners Work: The best trade ($3.4K+) shows the importance of holding positions long enough for the move to develop.
Conclusion
With $8,350.40 withdrawn across two payouts, this Philippines-based trader exemplifies the power of structural discipline. They used the Leveraged Refuel feature to stay in the game, applied a strict 1:2 Risk-Reward ratio, and proved that an elite mindset can turn a 47% win rate into a five-figure income stream. This performance is a strong example of controlled consistency all starting from a Turbo account model that requires just $8.88 to begin.
This is one of the most mechanically sound trader success stories evaluated so far. They do not rely on a high win rate (47.6%) to be profitable. Instead, they rely on Asymmetric Risk. They pre-define their stop losses, take small hits probing for the perfect entry, and when they catch the trend, they possess the patience to hold it for hours (as seen in the 4-hour GBPAUD and 6-hour BTCUSD holds). Their defining trait is Mental Fluidity – the rare ability to immediately stop and reverse a position when the market proves their initial bias wrong, turning a potential disaster into a $3,400 windfall.
If you enjoyed this analysis and want to see how other traders aggressively utilize the Refuel feature to compound their payouts, check out $34,621 in Payouts: The “Refuel King” Hits a 44.11 Profit Factor.
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.