Trade log

Trade log

A free journal for the trades you actually take. Lives at /log. Saves to your account, not your browser, so it survives device-switching.

What gets logged

Each row has:

• Date — the day you opened the trade.
• Symbol — anything you want; BTC, ETH, SPX, AAPL — the log is asset-agnostic.
• Side — Long or Short.
• Entry, SL, TP, Exit — the prices.
• Risk $ — how many dollars you had on the line for this trade.
• R — auto-computed from Entry / SL / Exit when you fill those three. You can override the auto-value by typing your own.
• Status — Open, Win, Loss, Breakeven, or Cancelled.

R-multiple is the most important field. It's the unit of measurement that lets you compare trades that risked $20 with trades that risked $2,000. Win-rate and average R together tell you whether you have an edge.

Cycles

A cycle is a chapter — a month, a market regime, a specific strategy you are testing. Every trade belongs to one. By default we open with "Cycle 1" and assign new trades there; pick a different cycle in the wizard, or click + New to start one. You can rename or delete cycles from the Cycles view.

Filters

Above the table:

• Period — All / 7D / 14D / 30D narrows by date.
• Cycle dropdown — All cycles, or any single cycle.
• View toggle — switch between Trades (the table) and Cycles (per-cycle summary cards).

The summary strip, the "How you compare" card, and the CSV export all respect the active filter.

Stats

The summary strip totals:

• Trades closed — count of rows with Status set to Win, Loss, or Breakeven.
• Win rate — percentage of closed trades that ended in Win.
• Avg R — average of all R values across closed trades.
• Cumulative — sum of all R values; positive in green, negative in red.

The numbers update as you type.

Visual analytics

Once you have at least two closed trades, the page shows a visual layer above the table:

• Equity curve — cumulative R over time, drawn as an area + line with one marker per closed trade. Green markers are wins, red are losses. Hover any marker for the symbol, date, R, and running total.
• Calendar — a 12-week heatmap, one cell per day. Cell colour reflects net R that day: brighter green for bigger green days, brighter red for bigger red days. Surface "I trade Mondays badly" or "this stretch was my best run" without scanning the whole table.
• R distribution — histogram of your closed trades in 0.5R buckets. Tells you where outcomes cluster: a healthy edge is asymmetric, with right-tail wins outweighing left-tail losses.
• Drawdown — running peak-to-trough R as a filled area chart. The bottom of the worst dip is your max drawdown; the right edge is your current drawdown. Use it to size the next bet honestly.
• By weekday — average R per closed trade for each day of the week, sorted best-to-worst. Bars centre on zero so positive and negative directions read at a glance.
• By symbol — same chart shape, grouped by symbol. Top eight symbols by volume.
• By tag — same again, grouped by tag (see Tags below). Empty until you start tagging.

All charts respect the active filter. Switch period or cycle and they re-render from the visible slice.

Tags

Each trade row has a free-form tag input. Type a word, hit Enter (or comma), and it appears as a pill. Use them to track setups, mistakes, market regimes, or anything else you want to slice by — breakout, fomo, scalp, revenge, tested-strategy-a, whatever helps you. Eight per row max, 24 characters per tag, lower-cased and deduped.

The By tag chart aggregates avg R per tag across your closed trades. It's the bridge between numbers and self-awareness: if your #fomo trades average -1.2R and your #breakout trades average +0.8R, the data is telling you something.

Sharing a trade

Each row has a Share button (the upload arrow icon between the R column and the bin). Tap it to generate a 1080×1080 image of that trade — symbol, side, status, R, your cumulative-R sparkline, the tags, and a small Retired Today brand mark. No email or first name appears on the card. Use Share for the native share sheet, or Copy image link to paste it anywhere. Good for X / Discord / your trading-friends group chat.

How you compare

A "How you compare" card appears below the table once you have at least one logged trade with a date. It shows your win rate, average R, and trade count next to our strategy's same metrics over the same window. The comparison is informational — your numbers are what you actually did, ours are what the strategy did over the same window. The gap between the two tells you something about your discipline, your timing, or your edge — depending on which way it goes.

Import

Already keep a log somewhere else? Hit Import CSV in the toolbar and drop your file. We read the headers and auto-match them to RT fields — date, symbol, side, entry, stop-loss, take-profit, exit, risk $, R, status, notes. Anything we cannot match is flagged so you can fix it inline. Common header names work out of the box (open / entry / entry price all map to Entry; buy / long both become Long; closed loss / stopped out both become Loss; ISO and DD/MM/YYYY dates both work).

By default the import lands in a new cycle named after your filename, so it stays grouped and reversible. Pick an existing cycle in the dropdown if you would rather merge it in.

The modal shows a live count: 45 ready to import · 2 skipped, with the reason next to each skipped row (missing date, side not recognized, etc.). Need a template? Click Download sample.csv in the drop zone.

Export

The Export CSV button downloads the active filter as a comma-separated file (filter to a single cycle and export to grab just that slice). The file includes a cycle column with the human name. Use it to back up your log, move to another tool, or feed numbers into a spreadsheet for further analysis.