Jurnal - Trading Excel

The fluorescent hum of the overhead light was the only sound in David’s apartment at 2:00 AM. On his screen, a candlestick chart burned a jagged red line downward. David stared at his balance. It was 40% lighter than it had been that morning.

He rubbed his eyes, the dry itch of too much screen time setting in. He had "invested" in a cryptocurrency based on a hype thread on Twitter. He hadn't looked at the project’s whitepaper. He hadn't checked the market cap. He had simply clicked Buy because he was terrified of missing out.

Now, the crash was loud, and his silence was louder.

Desperate for a distraction, he opened a folder on his desktop labeled "Trading Resources." Inside, buried under a pile of PDFs and broken shortcuts, was a file he had downloaded months ago but never opened: Trading_Journal_Template_v1.xlsx.

He double-clicked.

The file opened to a tab named "Dashboard." It was mostly empty, populated by ominous #REF! errors and charts with no data. But the structure was there. David saw columns for Entry Price, Exit Price, Position Size, Strategy, and a large, daunting column labeled Post-Trade Analysis.

"I don't need this," he muttered. "I need a win."

But the red numbers on his exchange balance said otherwise. He created a new tab and named it "The Reckoning."

For the next three hours, David didn't trade. He typed. He scrolled through his exchange history, excavating the ghosts of trades past. He entered the data into the Excel sheet, row by brutal row.

Row 12: Bought the "MoonShot" token. Reason: "Gut feeling." Result: -15%. David typed into the Analysis column: No volume, bought the top. Stupid.
Row 24: Shorted Bitcoin. Reason: "Scared of news." Result: -5%. Analysis: Faded a strong trend. Emotional trade.

By the time the sun began to bleed through the blinds, the Excel sheet was no longer a template. It was a mirror. The pivot table he created on the "Dashboard" tab spun the data into a pie chart that made his stomach turn. jurnal trading excel

Win Rate: 34%. Average Loss: 3x larger than Average Win.

The Excel sheet didn't lie, and it didn't care about his feelings. It showed him, in black and white cells, that he wasn't an investor; he was a gambler paying rent to the market.

David closed the laptop. He didn't trade for two weeks.

When he finally returned to the markets, the Excel file was open on his second monitor. He sized up a trade on a tech stock. It was breaking out of a consolidation pattern. His finger hovered over the Buy button. The adrenaline spiked.

Just buy, his instinct screamed. It’s going to fly!

He paused. He alt-tabbed to the Excel sheet. He typed in the hypothetical entry price.

Strategy: Breakout.
Risk: 1% of account.
Stop Loss: Below previous support.

He stared at the "Risk/Reward Ratio" cell. It calculated automatically. 2.5 : 1.

He looked at the "Reason for Entry" column. He started typing “It looks strong...” then backspaced. He needed a better reason. He checked the volume. It was high. He checked the RSI. Not overbought.

He typed: “Volume breakout on daily chart. Clear support level defined.” The fluorescent hum of the overhead light was

He took the trade.

The trade went his way. The price hit his target. He sold.

Usually, David would feel a rush of euphoria, a "high" that would inevitably lead to an impulsive, losing trade immediately after. But this time, he didn't rush. He went straight to the Excel sheet.

He filled in the Exit Price. The cell turned green, automatically calculating a +2.5% gain.

He clicked over to the "Monthly Summary" tab. The pie chart shifted. The red slice of losses shrank slightly; the green slice of profits grew. The "Win Rate" ticked up to 36%. It wasn't pretty, but it was progress.

Months passed. The spreadsheet evolved. He added conditional formatting—if he lost money, the row turned a faint, shameful pink. If he followed his rules, the row turned a confident blue, even if he lost money on the trade (because sometimes, a good process yields a losing result).

He added a new column called Emotional State. He tracked his heart rate. He realized he lost money on 80% of the days he logged "Tired" or "Stressed" in that column.

The Excel file grew from a humble template into a relational database of David’s psychology. It knew him better than his friends did.

One year later, David sat in the same chair. The "Dashboard" tab was open. Row 12: Bought the "MoonShot" token

Win Rate: 58%. Profit Factor: 2.1. Net Profit: A number that allowed him to pay off his credit card.

There was no magic algorithm. No secret insider tip. Just the rows and columns. The journal forced him to pause, to breathe, and to treat trading like a business rather than a lottery ticket.

He looked at the empty row at the bottom of the sheet, cursor blinking in the Date column. He took a sip of coffee, cracked his knuckles, and typed in the date for today's session.

The market was volatile. The news was scary. But the Excel sheet was calm, organized, and waiting for the truth.

A. Identification Data

Ticket/ID: Unique number for every trade.
Date & Time: Crucial for session analysis (London vs. New York).
Instrument/Pair: BTC/USD, AAPL, EUR/GBP.
Direction: Long (Buy) or Short (Sell).

Recommended P&L Setup (Simpler)

Use two rows per round trade (one buy, one sell) and add a P&L (Net) column with:

=IF(Action="SELL", (Quantity*Price - Commission - Fees) - VLOOKUP(Ticker, BuyTransactions, TotalCostColumn, FALSE), "")

Or manually link Buy and Sell rows via Trade ID.

Step 2: The Risk Calculator Column

You shouldn't have to manually type your R-multiple. Create a helper column (Column M) titled R-Multiple. Formula: =IF(Net_PnL_Cell > 0, Net_PnL_Cell / Risk_Amount_Cell, (-1)* Net_PnL_Cell / Risk_Amount_Cell) Note: A great trade returns +2R; a bad loss returns -1R.

Contoh template singkat (header baris pertama untuk sheet Trades)

Part 7: Common Mistakes When Using an Excel Journal

Avoid these pitfalls that turn your journal into a graveyard:

Logging only wins: Humans naturally avoid writing down painful losses. You must log every single trade, even the $50 stop out.
Over-complicating it: Do not add 50 columns. Start with 15 core columns. You can add "Weather" or "Sleep quality" later if you have 1,000 trades of data.
Not saving backups: Excel files corrupt. Save a backup to OneDrive or Google Drive weekly. Losing 6 months of trading data is a tragedy.