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Precious Lyna Anusiem
Precious Lyna Anusiem

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I was building my own tools" energy, since that audience responds to maker/builder framing

I blew a $3,000 account in six weeks.

Not because I didn't know what I was doing. I'd watched hundreds of hours of content, I understood support and resistance, I could explain R:R ratios in my sleep. The problem was simpler and more embarrassing than that: I had absolutely no idea what my actual numbers were.

I thought my win rate was around 60%. It was 41%.

I thought my average winner was bigger than my average loser. It wasn't — I was cutting winners short and letting losers run, classic textbook mistake, and I couldn't see it because I never actually looked.

That's the thing nobody tells you when you start trading: the market doesn't care how good your strategy looks on paper. What matters is whether your strategy, as you actually execute it, has positive expectancy. And the only way to know that is to track every single trade with enough detail to do the math.

The tracking problem

Most traders track trades in one of three ways:

They don't track at all (the majority)

They screenshot good trades for social media and quietly forget the bad ones

They use a broker's built-in history export, which gives you raw P&L but nothing about the quality of your trades

None of these tell you what you actually need to know. What's my profit factor? What's my expectancy in R? Which session am I most profitable in — London open or New York? Am I better on trend days or ranging markets? Is my win rate consistent, or did I just get lucky for three weeks?

These questions are what separate traders who survive from traders who blow up and quit.

What I built instead

After my second blown account I stopped trading live for two months and focused on one thing: understanding my own data. I built a backtesting spreadsheet in Excel that would do all the math automatically. I wanted to log a trade in 30 seconds and immediately see how it affected every key metric.

The result is something I've been refining for over a year. It has seven sheets:

The Trade Log is where everything starts. You fill in the blue cells — date, pair, direction, entry, stop loss, take profit, result, and P&L. That's it. Every other column calculates itself: your R:R ratio, your R multiple, your running equity, your drawdown percentage, consecutive wins and losses.

The Dashboard pulls everything together. Win rate, profit factor, expectancy, max drawdown, Sharpe ratio, average R:R — all live, all updated the moment you add a trade. There's a pass/fail benchmark system so you can see at a glance if your numbers meet the minimums a funded trader or prop firm would expect.

The Strategy Analyzer is where things get interesting. It breaks your performance down by strategy, by pair, by session, and by day of the week. When I first ran my own numbers through this, I discovered I was profitable on London session trades and consistently losing on Asian session trades. I stopped trading Asian session. My overall performance improved immediately.

The Equity Curve gives you a visual chart of your cumulative P&L so you can see the shape of your trading — smooth and consistent, or spikey and lucky. These look very different and they matter.

The R:R Calculator works out your ideal position size based on your account balance and your risk percentage per trade. It also shows you the minimum win rate required to be profitable at any given R:R ratio. (At 1:1, you need to win more than 50% of trades. At 2:1, you only need to win 34%. This is not a small difference.)

The Monthly Summary breaks everything down month by month, which is essential if you're trading a prop firm challenge or keeping a trading journal for tax purposes.

Settings is where you configure your account size, your risk percentage, and your performance benchmarks — then everything across the entire spreadsheet updates automatically.

The numbers that changed how I trade

Here's what I mean when I say this changed things concretely.

After three months of logging with this system, I knew:

My win rate was 54%, not the 60% I'd assumed

My profit factor was 1.3 — technically profitable, but fragile

My expectancy was 0.21R per trade — low, but positive

My max drawdown was 14% — acceptable

I won 68% of trades I took on Tuesday and Wednesday. I lost money net on Mondays and Fridays.

Monday and Friday trades disappeared from my plan. My profit factor went from 1.3 to 1.7 in the following two months without changing anything else about my strategy.

That's what data does. It removes the guesswork and the ego. You can't argue with your own numbers.

Who actually needs this

If you're a complete beginner who just opened a demo account last week, you probably don't need this yet. Come back when you have 50 trades to analyse.

But if you've been trading for three months or more — live or demo — and you can't immediately answer the following questions from memory, you need a proper tracking system:

What is your current win rate?

What is your profit factor over your last 100 trades?

What is your expectancy in R?

Which pair or asset are you most profitable on?

What is your maximum historical drawdown?

Most traders can't answer more than one of these. If that's you, you're trading blind. You might be profitable right now for reasons that have nothing to do with your edge, and you won't know until the market shifts.

One last thing

The spreadsheet is available for instant download. It works in Microsoft Excel and Google Sheets, costs less than a trading book, and you'll have data on your own performance within the first week of using it.

If you're serious about trading — not serious about watching trading content, but serious about actually improving — tracking your trades properly is the single highest-leverage thing you can do. Everything else is noise until you know your numbers.

Download Trade Backtest Pro here

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