FTMO Free trial 100k 2 step Challenge

The swing method kept you calm and more precise in your execution. The day-trading method seems to be making you put yourself under pressure. But I'm quite sure you'll adjust, just keep pushing. Next week we go again.
Good risk management. Now it's for you to keep it consistent.

I dont think the day trading is the issue, maybe its a lack of diversification across asset classes, and over-concentration on minor pairs. These minor pairs are very unpredictable.

Trading Summary — Monday, September 7

Today was another difficult session on the FTMO account. I closed 4 trades with a 25% win rate, finishing the closed trades at -$1,314.16.

The trades were:

* EURGBP Sell: -$583.10

* EURUSD Sell: -$394.24

* XAUUSD Buy: -$391.47

* CADCHF Sell: +$54.65

Three losses and one small winner meant the winning trade wasn't nearly enough to offset the losing positions. The profit factor of 0.04 makes that pretty clear.

The account is now around $92.7k balance, with equity around $92.4k at the time of the screenshots. Overall drawdown has reached approximately 7.6%, leaving roughly 2.4% before the 10% maximum-loss threshold. That means protecting the remaining capital has become much more important than trying to recover the losses quickly.

The biggest lesson for me today is that I cannot afford to chase recovery. My recent results have been poor, but increasing aggression now would only make the remaining drawdown more vulnerable. I need to reduce my exposure, become much more selective with setups, and allow my edge enough trades to play out without putting the account at unnecessary risk.

I'm currently sitting at a 23.81% overall win rate, 0.78 average RRR, -$347.61 expectancy, and 0.24 profit factor after 21 trades. Those numbers tell me something needs adjustment—not necessarily that the strategy has no edge, but that my current combination of trade selection, execution, risk and R:R isn't producing positive expectancy.

Today was another red day. No point hiding it.

The objective now isn't to make everything back tomorrow. It's to stop the bleeding, protect what's left, review the losing trades, and trade smaller until performance stabilizes.

Today's result: -$1,314.16

Win rate: 25%

Trades: 4

Overall drawdown: ~7.6%

Bad trading periods happen. The real test is whether I can manage the downside long enough to recover when my edge starts performing again.

This is really challenging. But its a good experience to know areas to work on or improve within yourself.
It's good you're keeping risk below 0.5%. keep it up.

I dont think the day trading is the issue, maybe its a lack of diversification across asset classes, and over-concentration on minor pairs. These minor pairs are very unpredictable.

I will keep trying

Yeah. The goal is to keep getting better.

Trading Summary — 8 September 2026

Today was another mixed trading day. I closed two losing trades for a combined -$606.79, but I currently have two open positions running at +$1,229.89, which has helped recover the losses from earlier in the session.

Closed Trades

XAUUSD Buy — Loss ❌

I took the Gold buy based on the bullish setup I had identified earlier, but price failed to deliver the continuation I expected.

Result: -$323.22

GBPUSD Sell — Loss ❌

I also took the GBPUSD sell after waiting for the bearish setup to activate. The trade eventually failed to follow through as expected.

Result: -$283.57

That left my closed P&L for today at -$606.79, with a 0% win rate across the two closed trades.

Open Trades

The day improved considerably with my two current positions:

GBPCAD Sell: +$668.46, approximately +44.3 pips

EURGBP Buy: +$561.43, approximately +14.4 pips

Combined floating profit: +$1,229.89.

If both positions were closed around the values shown, they would more than offset today's -$606.79 realized loss, leaving roughly +$623 net for the day before costs/slippage.

Account Position

My account currently stands at:

Balance: $91,712.39

Equity: $92,936.23

Unrealized P&L: +$1,223.84

Account drawdown from $100K: roughly 7.1% based on equity

The account is still alive, but I'm getting fairly close to the overall drawdown limit, so capital preservation has to remain the priority. I don't need to recover everything quickly; I need to give my strategy enough room to work without allowing another losing streak to breach the account.

My Takeaway From Today

Today reminded me why I switched to a more dynamic approach to risk. I started with two losses, but I didn't need to force larger trades to recover them. GBPCAD and EURGBP eventually moved strongly in my favor and brought my floating P&L back above the day's realized losses.

The biggest lesson is still the same: I can't control the outcome of individual trades. I can control my risk, execution and response to losing streaks.

At this stage of the account, survival matters more than trying to recover the entire drawdown in one or two trades. I need to stay selective, protect the downside, and allow the edge to play out over enough trades.

Nice Lessons.

Today’s Trading Summary — 9 September 2026

Today was a much better trading day for me, especially from a risk-management and execution perspective. I finished my closed positions with 2 wins from 2 trades, a 100% win rate, and +$305.18 realized profit.

My two closed trades were:

EURGBP Buy: +$254.28. This was the main trade of the day. Price reacted from the area I had been monitoring and moved in my direction. Since supply was still controlling the broader structure, I didn't get greedy. I trailed my stop as price moved higher and secured partial profits.

GBPCAD Sell: +$50.90. Another profitable position, adding a smaller but important gain to the day.

I also still have a XAUUSD sell running, which was approximately +$66.96 (+7.4 pips) at the time of the screenshot. Because that position is still open, I don't count it as realized profit yet. This explains why the dashboard's floating "Today's profit" figure is higher than the +$305.18 shown for today's closed trades.

The biggest positive today wasn't simply making money—it was trade management. After the difficult drawdown on this trial account, I'm focusing more on protecting the downside, taking what the market gives me, and avoiding unnecessary exposure. On EURGBP especially, trailing my stop and taking partials meant I secured profit instead of holding stubbornly for the full target while supply remained in control.

The account is still deep in drawdown, with equity around $92,097.73 and the maximum-loss metric around -8.3%, so capital preservation remains the priority. I don't need one massive trade to recover everything. I need a sequence of disciplined trading days.

Today's result: +$305.18 realized | 2 trades | 2 wins | 100% win rate.

Small recovery, but a good day in terms of execution. Now the goal is simple: don't give it back.

Today’s Trading Summary — 11 September 2026 📊

Today was a much better trading day for me. After the losses I've experienced recently, the main focus was execution, patience, and protecting the account rather than trying to recover everything at once.

I closed one EURUSD sell for +$435.20, giving me a 100% win rate on the closed trades recorded for the day. I also had profitable positions showing on EURUSD buys (+$365.84 each) and NZDCAD sells (+$67.42), which explains why my dashboard showed today's floating/overall profit around +$1,224.40 at the time of the screenshot.

The important thing for me wasn't just being profitable—it was the improvement in execution. I took fewer trades, allowed the setups to develop, and wasn't forcing entries simply because I wanted to recover previous losses.

My account is still in significant drawdown, with the balance around $91,487.61 and equity around $92,289.44, so there's still a long way to go. The account is roughly 8.9% into the 10% maximum-loss limit, meaning capital preservation has to remain the priority.

Today reminded me that I don't need one massive trade to recover an account. I need consistent execution, controlled risk, and enough time for my edge to play out.

Today's lesson:

Don't trade the drawdown. Trade the setup.

One good day doesn't erase the previous losses, but it can be the beginning of better execution. Tomorrow isn't about making more because I won today—it's about repeating the same discipline.

You are doing exceedingly great , capital preservation is essential not just taking trades, just be careful and don't over leverage the account so you don't hit the 10% max drawdown

14-Day FTMO Free Trial — Final Trading Summary

The 14-day FTMO Free Trial has officially ended. The account started at $100,000 and finished with a balance/equity of $91,936.39, giving a final net result of -$8,063.61 (-8.06%). The trial therefore finished Not Passed, but importantly, I did not breach either of the main drawdown rules during the challenge.

The account recorded 35 trades across 10 trading days, with a total volume of 176.34 lots. My final win rate was 34.29%, average winning trade was +$295.44, while my average losing trade was -$504.73. The final discipline score was 76% (Good).

The biggest issue becomes very obvious from those numbers: my losses were substantially larger than my wins. My average loss was about 1.71× my average profit. With a 34.29% win rate, that payoff structure made profitability mathematically very difficult. I either needed a much higher win rate or, more realistically for my style, significantly larger average winners relative to my losses.

There were still some encouraging periods. I had profitable days such as September 2 (+$300.58), September 9 (+$314.97) and September 11 (+$435.20). Toward the latter part of the trial, my execution also started improving. I became more selective with setups and began recovering from the deeper drawdown instead of continuing the same aggressive trajectory.

The early part of the challenge did most of the damage. For example, September 1 finished -$2,602.36, September 3 -$1,726.44, and September 4 -$619.47. These large losing days meant that later profitable days were simply too small to compensate. My maximum daily loss reached -$2,825.31 (-2.8%), which remained within the -$5,000 daily-loss limit.

At the account's worst point, the FTMO statistics recorded maximum loss at -$8,968.54 (-8.9%). That put me dangerously close to the -$10,000 maximum-loss limit—only about $1,031 away from breaching it. However, I managed to recover part of that drawdown and eventually finished at -$8,063.61, roughly $905 better than the account's maximum recorded drawdown.

One important detail about the final result is that the 14-day Free Trial expired overnight and FTMO automatically closed my remaining open positions. So the final $91,936.39 balance reflects those automatic closures rather than me manually deciding to close every remaining position at that point.

What I learned from this challenge

This trial exposed something more important than whether I passed or failed: my biggest weakness wasn't necessarily finding setups—it was managing the downside of my edge.

I can have good SMC/liquidity reads and still lose money if my losing trades are allowed to outweigh my winning trades. The statistics make that undeniable: 34.29% win rate + $295 average winner + $505 average loser isn't sustainable.

The next trial therefore shouldn't be about finding more trades. It should be about improving the economics of the trades I already take: cutting risk during losing streaks, avoiding unnecessary exposure, being more selective with setups, and allowing high-quality winners enough room to pay for multiple losses.

Most importantly, I shouldn't approach the next account thinking:

> “I need to recover the $8,063 I lost on this one.”

It's a completely new sample.

The goal should be to prove that my dynamic-risk approach can keep me alive long enough for my SMC/liquidity edge to express itself. If I can prevent a few -$1,500 to -$2,600 days from occurring, the entire equity curve could look dramatically different even without increasing my win rate.

Final result: $100,000 → $91,936.39 | -$8,063.61 (-8.06%) | 35 trades | 34.29% win rate | 76% discipline score | No daily/max-loss breach.

Not the result I wanted, but the data from these 14 days gives me something concrete to fix before the next challenge.

It only shows that you should improve in your strategy and your risk management plan

14-Day FTMO Free Trial — Final Trading Summary

The 14-day FTMO Free Trial has officially ended. The account started at $100,000 and finished with a balance/equity of $91,936.39, giving a final net result of -$8,063.61 (-8.06%). The trial therefore finished Not Passed, but importantly, I did not breach either of the main drawdown rules during the challenge.

The account recorded 35 trades across 10 trading days, with a total volume of 176.34 lots. My final win rate was 34.29%, average winning trade was +$295.44, while my average losing trade was -$504.73. The final discipline score was 76% (Good).

The biggest issue becomes very obvious from those numbers: my losses were substantially larger than my wins. My average loss was about 1.71× my average profit. With a 34.29% win rate, that payoff structure made profitability mathematically very difficult. I either needed a much higher win rate or, more realistically for my style, significantly larger average winners relative to my losses.

There were still some encouraging periods. I had profitable days such as September 2 (+$300.58), September 9 (+$314.97) and September 11 (+$435.20). Toward the latter part of the trial, my execution also started improving. I became more selective with setups and began recovering from the deeper drawdown instead of continuing the same aggressive trajectory.

The early part of the challenge did most of the damage. For example, September 1 finished -$2,602.36, September 3 -$1,726.44, and September 4 -$619.47. These large losing days meant that later profitable days were simply too small to compensate. My maximum daily loss reached -$2,825.31 (-2.8%), which remained within the -$5,000 daily-loss limit.

At the account's worst point, the FTMO statistics recorded maximum loss at -$8,968.54 (-8.9%). That put me dangerously close to the -$10,000 maximum-loss limit—only about $1,031 away from breaching it. However, I managed to recover part of that drawdown and eventually finished at -$8,063.61, roughly $905 better than the account's maximum recorded drawdown.

One important detail about the final result is that the 14-day Free Trial expired overnight and FTMO automatically closed my remaining open positions. So the final $91,936.39 balance reflects those automatic closures rather than me manually deciding to close every remaining position at that point.

What I learned from this challenge

This trial exposed something more important than whether I passed or failed: my biggest weakness wasn't necessarily finding setups—it was managing the downside of my edge.

I can have good SMC/liquidity reads and still lose money if my losing trades are allowed to outweigh my winning trades. The statistics make that undeniable: 34.29% win rate + $295 average winner + $505 average loser isn't sustainable.

The next trial therefore shouldn't be about finding more trades. It should be about improving the economics of the trades I already take: cutting risk during losing streaks, avoiding unnecessary exposure, being more selective with setups, and allowing high-quality winners enough room to pay for multiple losses.

Most importantly, I shouldn't approach the next account thinking:

> “I need to recover the $8,063 I lost on this one.”

It's a completely new sample.

The goal should be to prove that my dynamic-risk approach can keep me alive long enough for my SMC/liquidity edge to express itself. If I can prevent a few -$1,500 to -$2,600 days from occurring, the entire equity curve could look dramatically different even without increasing my win rate.

Final result: $100,000 → $91,936.39 | -$8,063.61 (-8.06%) | 35 trades | 34.29% win rate | 76% discipline score | No daily/max-loss breach.

Not the result I wanted, but the data from these 14 days gives me something concrete to fix before the next challenge.

Yessir i will

Go deep into liquidity you have SMC knowledge already continue searching deep , although it's a continuous process