Tag Archive for: Green Day

Week 11 Recap: Locking in the Gains

There are some weeks where trading feels unusually clean. Not easy, exactly, but clean. The decisions are clearer. The setups stand out. Losses do not sting in the same way because everything sits inside the process.

Week 11 felt like that.

From Monday through Wednesday, the rhythm was strong. The week started green, stayed calm, and carried that tone through the first half of the session block. By Wednesday, it genuinely felt like things were clicking. Trades were being selected with more care. Marginal setups were passed on without much internal debate. There was less noise, less forcing, less need to be involved in every move.

In other words, I was sticking to the plan.

That showed up in a few obvious ways. There were fewer trades overall. Adherence to the trade planner was better. The early-week win rate was strong. More importantly, losing trades were handled without frustration. They happened, they were accepted, and then the focus returned to the next decision.

That emotional shift matters more than it might seem.

When a strategy has a real edge across a large sample size, individual trades lose a lot of their emotional weight. They still matter, of course, but they stop feeling personal. A loss becomes a business expense rather than a verdict. That was probably the biggest improvement this week. There was less attachment to each outcome and more trust in the process itself.

For the first few days, everything felt controlled. Measured. Ordinary, in the best sense of the word. That kind of trading is rarely dramatic, but it is usually where the best work gets done. It fits closely with the broader philosophy behind The Ordinary Trader: calm, process-led execution without hype or emotional exaggeration. 

Discipline is never permanent. It has to be renewed in real time.

The day discipline slipped

Then Thursday arrived and offered a useful reminder: discipline is never permanent. It has to be renewed in real time.

At around 9am, I had taken one trade and was already up +2.2R for the day. My daily target is 2R. So the correct decision was not complicated. The day had done its job. My job was to close the laptop and walk away.

I did not do that.

Instead, I started negotiating with myself. There was still plenty of session left. More movement might come. Another good setup could appear. None of that sounds especially reckless on paper, which is partly why this kind of mistake is so common. It rarely arrives as a dramatic impulse. More often, it shows up as a small, reasonable-sounding exception to a rule you already made for yourself.

By the end of the session, I had turned a strong day into -2.37R.

That is a swing of more than  4R in the wrong direction, caused entirely by ignoring the framework that was supposed to protect the day once the target had been met.

That is the frustrating part. Not the loss itself, but how unnecessary it was.

 

 

Overconfidence rarely looks loud

While journaling the losses later that day, another pattern became clearer. Some of the decisions were sloppy. Not wildly reckless. Not completely detached from the plan. Just a little looser than they should have been.
That distinction matters.

The biggest trading mistakes are not always explosive. Sometimes they are subtle. A setup that is almost good enough. A management decision that is almost justified. A trade that gets taken not because it is clearly there, but because you have been in rhythm all week and quietly start to trust yourself a little too much.

That was probably the real issue on Thursday: overconfidence.

After several green days and a strong win streak, there was likely a slight relaxation in standards. Nothing dramatic. Just enough to matter. And in trading, just enough to matter is more than enough to do damage.

Honestly, that is one of the stranger parts of this work. Good performance can create its own risk. When you have been seeing the market well, the temptation is to believe that the next decision will also be sharp. But markets do not reward confidence on its own. They reward discipline, and discipline often means stopping while you still feel good.

Friday’s reset: protect the week

Friday felt different. Not because the market was easier, but because the lesson from Thursday was still close enough to shape the decisions.

Two strong trades appeared and both delivered more than 3R. In another mood, there might have been a temptation to squeeze more from them, trail more aggressively, and try to extract every last bit of movement available. And yes, in hindsight, they may have gone further.

But that was not the point.

After what happened the day before, the better decision was to lock in the profits and close the laptop.

Sometimes protecting the week matters more than maximising the day.

That can feel slightly unsatisfying in the moment. Traders are conditioned to think in terms of missed potential. Could it have run further? Could more have been made? Maybe. But that line of thinking is not always helpful. A well-managed green day does not become a bad one simply because a market moved further after you exited.

There is a lot of freedom in accepting that.

The real lesson from Week 11

Week 11 closed at +11.16R, which is super encouraging. But the most useful takeaway had very little to do with entries, analysis, or market reads.

It was about protecting gains.

Growing a trading account is not only about finding winning trades. It is about keeping the money when it is made. It is about refusing to turn good days into average ones, and average ones into red ones. It is about letting the positive asymmetry work in your favour over time.

That is not flashy, but it is the work.

Minimise losses. Protect gains. Let the edge compound.

The equity curve becomes more stable when losses stay contained and green days are allowed to remain green. Not every opportunity needs to be taken. Not every move needs to be captured. And not every strong day needs to be pushed further.

That last part is easy to forget. A lot of trading advice focuses on pressing advantage, scaling up, or making the most of momentum. There is a place for that. But there is also a quieter skill that matters just as much: knowing when enough is enough.

That was the lesson this week.

Not how to chase more, but how to keep what was already earned.

Minimise losses. Protect gains. Let the edge compound.

Week 10 Recap: Slow Down to Speed Up

March 2 – March 6

Week 10 started with a red day.

Not the ideal way to begin a new week or a new month. The session closed -1.36R (-$1.25K), which was a small confidence knock if I am honest. But the important thing is what happened next. I did not change the strategy. I did not try to force trades to make the loss back.

I simply stayed with the strategy and the trading plan.

What followed were four straight green days, each closing with a 100 percent win rate. Across those four sessions I put together a 10 trade win streak, bringing the week to +7.34R (+$16.6K).

The numbers are nice, but the bigger story this week was a shift in how I am reading the market.

 

R Values
R Values
$ Values
$ Values

 

A Timeframe Shift

This week I experimented trading less on the 15 minute TF for structure with 1 minute entries and began working with 1 hour structure and 5 minute entries.

The difference has been noticeable almost immediately.

Market structure simply feels more reliable. Breaks on the 5 minute and 1 hour charts carry slightly more weight due to their HTF mature. On the 1 minute chart, moves could feel a bit noisy and erratic, which made it easy to react to price movements that ultimately did not matter.

With the higher timeframe perspective, everything slows down.

Trades are now lasting four to six hours, compared with the 15 to 60 minutes that was typical before. That extra time creates a calmer environment. Instead of constantly searching for the next entry, there is space to observe price behaviour and manage trades more deliberately.

There is a trade off though. Holding positions longer means greater exposure to scheduled news events, which is something I now need to manage more carefully.

Quality Over Quantity

Another clear change is the number of trades.

When I was working from the 1 minute chart it was easy to take five to eight trades per day, which sometimes led to rushed decisions and lower quality setups.

With the new approach, opportunities appear less frequently. But when they do, the structure is clearer and the reasoning behind the trade is stronger.

Risk to reward is improving as well. Previously many trades capped out around 1.5R, but this week I captured a 4R trade, something that was far less common under the faster approach.

The result is straightforward.

Fewer trades.
Better trades.

The Key Takeaway

Week 10 reinforced an important lesson.

Speed creates noise.
Slowing down creates clarity.

The move to higher timeframe structure has changed the rhythm of the trading day. Decisions feel calmer, setups feel more intentional, and the overall environment is far less reactive.

Week 10 closed +7.34R (+$16.6K), but the more important shift is in the process.

The charts are quieter.
The decisions are calmer.
And the trades carry more weight.

Month 2 Recap: Surviving the Drawdown, Protecting the Process

February wasn’t a headline month.
It was a character month.

On paper, the summary looks simple:

  • Monthly P&L: -$6.45K
  • Monthly R: +0.95R
  • Trading days: 20
  • Green weeks: 3 out of 4
  • Red weeks: 1 significant (Week 2)

Depending on the lens you use, this month tells two different stories.

In dollars, it’s red.
In R, it’s slightly green.

That disconnect matters more than it first appears.

As I’ve written before, this project isn’t about performance theatre. It’s about documenting ordinary work done consistently over time . February fits that philosophy perfectly.

 

$ Values
$ Values
R Values
R Values

 

The Bigger Picture: When One Week Tries to Define the Month

Here’s the R breakdown:

  • Week 1: +1.27R
  • Week 2: -8.10R
  • Week 3: +8.49R
  • Week 4: -0.71R

Week 2 did the damage. A concentrated drawdown. No drama, but real impact.

Week 3, though, showed what happens when structure, patience, and selectivity align. +8.49R across five days isn’t noise. That’s execution.

Week 4? A “good loss.” -0.71R. Contained. Controlled. Boring, almost.

And boring is often good.

If you’ve followed the previous updates, you’ll recognise the theme. This wasn’t about chasing big weeks. It was about containment. When risk stayed defined, the account stabilised. When discipline slipped, losses clustered.

That’s not a revelation. It’s just reinforcement.

What Went Well (And Why It Matters)

1. Risk Containment Improved

There were red days. Several.

But very few spirals.

The guardrails held up better than earlier months:

  • Max 5 trades per day
  • Max 2R daily loss

February could have turned messy. It didn’t.

The -8R week stayed in its lane. It didn’t bleed into Weeks 3 and 4. That separation is growth. Not flashy growth. Structural growth.

And in trading, structural growth compounds faster than excitement ever will.

2. Recovery Without Revenge

Week 3 delivered +8.49R. That wasn’t emotional trading. It wasn’t trying to “get back” at the market.

It was alignment.

When conditions suited the strategy, execution was clean:

  • Higher-timeframe bias was clear
  • Lower-timeframe entries were defined
  • Liquidity sweeps made sense
  • Trade frequency dropped

The recovery wasn’t dramatic. It was mechanical. Follow the plan. Let it work.

This is something I’ve talked about before — the idea that most mistakes don’t come from bad analysis, but from trying to improve a trade that’s already working . The same applies at the weekly level. Over-managing a drawdown often causes more damage than the drawdown itself.

3. Selective Days Were the Strongest Days

Some of the best sessions in February were single-trade days.

  • One trade. 100% win rate.
  • $4.31K on one position.
  • 0.99R, clean and simple.

That’s not volume. That’s precision.

There’s a quiet lesson here: more trades rarely equal more profit. In fact, the opposite is often true. The higher trade-count days were statistically weaker — lower win rates, more mid-range losses, less clarity.

Fewer trades. Better structure.

It keeps repeating for a reason.

What Needs Tightening Up

February wasn’t a setback. But it wasn’t flawless either.

1. Drawdown Clustering

Week 2 came in at -8.10R. Not catastrophic. But concentrated.

Looking at those losing days, the pattern is clear:

  • Mid-range losses between -1R and -4R
  • Win rates around 20–40%
  • Higher trade counts

Translation? Forcing flow in less optimal conditions.

It’s likely discretion crept in — over-trusting continuation without enough higher-timeframe confirmation. The setups weren’t terrible. They just weren’t strong enough to justify the frequency.

The solution isn’t complexity. It’s patience.

2. Dollar Volatility vs R Consistency

Here’s the uncomfortable part.

The month finished slightly positive in R but negative in dollars.

That suggests uneven sizing. Possibly scaling inconsistently on higher-conviction days. Or exposure spread across multiple accounts in a way that diluted R-to-dollar alignment.

For Project 1 Million, R is the anchor. R defines expectancy. Dollars follow.

But the gap is a reminder: structure first. Size second.

Scaling should reflect edge strength, not confidence level.

3. Neutral Days That Could Have Been Zero

There were a handful of small bleed days:

  • -0.59R
  • -0.06R
  • -1.17R
  • -1.65R

Individually small. Collectively meaningful.

The question is simple: did those sessions require participation?

Not every day needs action. Some days are better observed than traded. The discipline to sit out is often harder than the discipline to cut a loss.

And yet, it may be the more important skill.

Statistical Observations: What the Data Actually Says

Looking across the calendar, a few patterns stand out:

  • High win-rate days were often green — but not always large.
  • Some strong green days had moderate win rates, supported by solid R:R.
  • The worst days combined higher trade counts and lower win rates.
  • One strong week can offset a poor week — if risk stays stable.

Win rate alone is irrelevant.

Structure and R:R define survival.

That’s not new information. But it’s easy to forget when a week goes red.

The Honest Summary

February did not materially move Project 1 Million forward.

But it didn’t erode the structure either.

The account absorbed:

  • An -8R week
  • Multiple red days
  • Uneven market conditions

And still finished roughly flat in R.

That matters.

This is the middle phase. No hero months. No implosions. Just process under pressure.

And if the philosophy is to treat trading as ordinary work — done consistently, without hype or drama — then February fits.

No celebration. No panic. Just review.

Focus for March: Quiet Adjustments

March doesn’t require reinvention. It requires refinement.

The priorities are clear:

  • Protect against clustered drawdowns
  • Be willing not to trade
  • Scale only with clean higher-timeframe alignment
  • Continue prioritising structure over frequency

The goal isn’t explosive growth.

It’s asymmetry:

  • Small red
  • Contained flat
  • Occasional strong green

That’s how compounding works. Not through heroics. Through containment.

February was not impressive.

But it was controlled.

And sometimes, control is the most underrated edge in trading.

Week 8 Recap: Structure, Restraint, and Quiet Progress

15th – 21st February

Week 8 felt different.

Not explosive.
Not dramatic.
Just steady.

After the turbulence of previous weeks, the focus coming into this one was simple: tighten execution, reduce noise, and behave like a professional.

The Plan

Going into the week, I set five clear rules:

  • Maximum 5 trades per day. Use the trade planner properly.

  • Only take true A+ zones.

  • Keep risk fixed at 1 percent. No oversizing. If resizing, it must be down, never up.

  • Validate structure on at least one timeframe higher before committing.

  • Reassess trailing stop placement relative to the timeframe of entry.

Nothing new. Nothing revolutionary.
Just better discipline.

The Reality

For the first time in a while, I felt genuine alignment between higher timeframe and lower timeframe structure.

Instead of marking up charts mechanically, I began to see how they overlapped.

A protected low on the higher timeframe could also serve as a shared protected low inside a lower timeframe zone. When those two lined up, the setup carried more weight. More confluence. More confidence.

That shift alone changed the quality of trades I was willing to take.

Fewer Trades, Better Decisions

I did not oversize once this week.

That matters more than it sounds.

Keeping risk fixed at 1 percent created emotional stability. There was no internal pressure to “make it back faster.” No temptation to lean heavier on volatile instruments.

Trade frequency also improved. I passed on many setups that I would have taken a few weeks ago. Patience is starting to feel less like restraint and more like strategy.

Ironically, I also identified multiple setups that went on to be great winners without me.

That is an important lesson.

There is a difference between patience and being too demanding on the pullback. If price does not retrace perfectly into your preferred level, sometimes the market simply moves without you. That is an area to refine moving forward. Not by lowering standards, but by avoiding greed in the entry refinement.

Performance Overview

In R terms, Week 8 closed +8.22R across 5 trading days.

In dollar terms, that translated to approximately +$5.18K.

After a difficult Week 7, that kind of rebound feels significant. Not because of the number itself, but because of how it was achieved.

  • No oversized positions

  • Reduced trade count

  • Better structural alignment

  • Cleaner execution

The process improved first. The results followed.

That is the order it should always be in.

Exit Strategy Experiments

One of the most valuable developments this week has been the start of structured exit testing.

I’ve begun comparing:

  • Fixed 1R

  • Partials

  • 1.5R targets

  • Full runners

  • Trailing scenarios

Instead of guessing, I’m running the data.

The goal is not to find the most exciting outcome.
It is to find the most consistent, repeatable one.

Over time, this testing should remove another layer of emotional decision making. Exits should be predefined, not improvised.

Bonus: A Milestone

Quietly, and slightly unbelievably, I passed three prop firm challenges this week.

Not one.
Not two.
Three.

Current funded capital now sits at $250K.

That is real progress.

It is easy to get distracted by daily PnL swings, but zooming out shows something else entirely. Structure is improving. Risk management is tightening. Emotional reactions are decreasing.

Funding is increasing.

The Bigger Picture

Week 8 was not about chasing big numbers.

It was about:

  • Respecting higher timeframe structure

  • Trusting confluence

  • Keeping risk consistent

  • Letting the edge play out

Ordinary discipline produced extraordinary stability.

And that is the direction this project needs to continue.

Trade well. Stay ordinary.

Month 1 Recap : What Real Progress Actually Looks Like

This is the first post in a new monthly series where I share my real trading results.

Not highlights. Not best days only. Not a sales pitch.

Just the numbers, the behaviour behind them, and what I am learning as I go.

The aim is simple. To track progress over time, stay accountable to my own rules, and hopefully provide something more realistic than the polished versions of trading that usually get shared.

This is Month 1.

How to Read the Images

Before getting into the results, a quick note on how to interpret the screenshots.

Each day shows both R and dollar PnL.
R measures performance relative to risk. Dollars show the real-world impact of those decisions.

Green and red days are not the story on their own. What matters more is trade count, win rate, and how losses behave when things are not going well.

If you are new to this, think of R as the decision-making lens, and dollars as the consequence.

Both matter, but they play different roles.

R Values
R Values
$ Values
$ Values

Why I Still Think in R First

R remains my primary metric because it keeps the focus on process rather than outcome.

It standardises risk, removes position size bias, and makes performance comparable across days, weeks, and months. A +3R day achieved cleanly is far more useful information than a random dollar figure taken out of context.

The dollar view exists to keep things honest. It reminds me that risk is real and that behaviour has consequences. But it is not what drives decisions in the moment.

R governs the process. Dollars reflect the result.

The worst red days tend to follow periods of over-engagement, often driven by trying to make something back within the same session.

The Big Picture

This month was uneven, but instructive.

Firstly, I only started journalling from Monday the 12th. The 19th was a stock market holiday, and I took the 26th off to attend a person training course. So this was not a full, uninterrupted trading month.

Even so, clear patterns emerged.

There was one difficult drawdown week early on, followed by two strong weeks where execution, discipline, and consistency improved noticeably. The contrast between those periods is the most important takeaway from this review.

The Difficult Start

Week 3 finished down -6.17R, or roughly -$1.6K.

More important than the number is how it happened.

This was before I was properly journalling, and it shows. Win rates were low, trade counts were high, and patience was thin. Losses clustered, not because the strategy stopped working, but because behaviour slipped.

There was some overtrading, some forcing, and a tendency to try to recover losses within the same session. In hindsight, the red days were not surprising.

At the time it felt frustrating. In review, it feels useful.

What Changed

From the 12th onwards, things began to stabilise.

Not perfectly, and not immediately, but enough to notice. Journalling introduced friction. It forced me to slow down, articulate reasons for entries, and reflect on exits rather than rushing to the next setup.

Even later red days still finished negative, but the damage was contained. Losses did not spiral, and trade behaviour stayed more deliberate.

That shift alone feels like progress.

The Stronger Weeks

Weeks 4 and 5 were the most encouraging.

Together they produced +23.79R, or just over $24K, with win rates regularly in the 60 to 80 percent range. These were not single outsized trades or lucky spikes. They came from multiple trades executed reasonably well, without stretching size or forcing targets.

What stood out most was not the PnL, but how repeatable those sessions felt. The process was clearer, entries were more selective, and exits were more disciplined.

When I slow down, the edge shows up.

A Few Honest Observations

One ongoing issue is trade volume.

On several green days I exceeded my own five trades per day rule. It worked out this time, but that does not make it good behaviour. The data suggests my best days tend to come from fewer, higher-quality trades rather than maximum participation.

Another clear pattern is how losses cluster. The worst red days tend to follow periods of over-engagement, often driven by trying to make something back within the same session.

Again, this is behavioural, not technical.

Common Misreads of the Dollar View

A few things are worth addressing directly.

This was not a straight line up.
The dollar results reflect both good weeks and difficult ones.

The strong days did not come from oversized risk.
Position sizing stayed consistent. The gains came from execution, not leverage.

The red weeks were not failures.
They were part of the learning curve, and they exposed issues that are now being addressed.

If anything, the dollar view reinforces why discipline matters. Behaviour shows up very quickly when the numbers are real.

What This Month Reinforced

This first month made a few things very clear.

  • Journalling improves execution.
  • Slowing down improves win rate.
  • Drawdowns are usually behavioural.
  • Consistency comes from repetition, not intensity.

None of that is exciting. All of it matters.

Why I’m Sharing This

I’m sharing these posts partly for accountability, but also because trading often lacks transparency.

Most people only ever see the best days or the biggest months. Real progress looks different. It includes red weeks, missed sessions, rule breaks, and gradual improvement rather than sudden breakthroughs.

If this series shows anything over time, I hope it is that progress is possible without hype, without shortcuts, and without pretending the hard parts do not exist.

This was Month 1.

On to the next, with fewer trades, better notes, and more patience.