Tool · Any market
Build trade journal analytics from your real broker fills.
Super Algo Kit can build trade journal analytics from your real broker fills, not from memory. The tool pairs fills into round trips and reports expectancy, payoff, streaks, cost share, results by setup and rule breaches. It makes no return claim. Studies reported that the busiest traders kept the least after costs, so honest numbers are often the most useful first deliverable.
strategy facts
Trade journal analytics from broker statements
- Family
- Tool, from published literature
- Markets
- Any: equities, futures, options, forex, CFDs, crypto and prediction markets
- Timeframes
- Any; it reads your trade history
- Evidence grade
- N: a tool with no return claim, tested for correctness rather than results
- Status
- Literature: described in published work, not yet tested by the kit
- Data needed
- Trade confirmations or statements with times, quantities, prices, fees and currency, plus instrument specs
- Privacy
- Your account data is private, so the journal stores it on your machine, never in shared files
From the kit's own card. Not investment advice.
Paper first
Test it before you trade it.
Super Algo Kit runs inside the coding agent you already use. It interviews you, writes the spec with pass marks set first, then builds, backtests and paper-tests. Real money starts only when you type the authorize command.
The plan, step by step
Tick them off as you go.
How does trade journal analytics work?
The journal reads fills from your statements or a read-only API connection, which is the venue's own record. It pairs them into round trips with a declared matching rule, such as first-in first-out or average cost.
Statistics come from the kit's metrics command, never from hand sums. Each trade can carry its setup, its planned stop and whether you followed the plan.
What a trading journal built on fills shows you
The report shows what your trading actually produced, split by setup with sample-size warnings. Costs appear as a share of gross results, including commissions, fees, spread estimates, funding and swaps.
- Expectancy and payoff per trade
- Cost share of gross results
- Winning and losing streaks
- Rule breaches against your own plan
- Results by setup, with a warning below 30 trades per tag
Where trade journals mislead
A journal is only as good as its import. Skipped partial fills, transfers, corporate actions or rolls skew every number, and pairing fills the wrong way invents winners and losers.
Too many tags is the other trap. The top setup among twenty tags on eighty trades is likely chance, so the kit treats per-tag differences as ideas to test, not findings.
How Super Algo Kit checks a journal tool
A tool is tested for correctness, not returns. Totals must reconcile with the broker statement to the cent.
Fixtures cover partial fills, reversals and rolls. A per-tag pattern that looks promising goes to a strategy card for proper testing, with pass marks set first.
Before you rely on it
Where it fails.
- Gaps in the import, such as missed partial fills, transfers, corporate actions or rolls.
- Pairing fills into round trips the wrong way creates winners and losers that never existed.
- Mixing currencies without converting at the trade date.
- Selective journaling: only the trades you chose to record.
- Too many tags: a standout setup among many tags is often chance.
- Your account data is private: store it on your machine, never in shared files.
FAQ
Trade journal analytics: questions.
Why build a trading journal from broker statements?
Memory is selective, and broker statements record what really happened. Super Algo Kit's journal imports fills from statements or a read-only API, then reconciles totals to the cent. That turns impressions into numbers you can check.
What should a trading journal measure?
The kit's journal reports expectancy, payoff, streaks, cost share, results by setup and rule breaches. Costs include commissions, fees, spread estimates, funding and swaps. Each per-setup result carries a sample-size warning below 30 trades.
Can I vibe code a trading journal?
Yes, with your AI coding agent and Super Algo Kit. The kit adds checks that plain vibe coding skips: a declared matching rule, fixtures for partial fills and rolls, and reconciliation against your statement. The code lives in your own project.
How many trades do I need before trusting a setup's results?
The kit's metrics command warns below 30 trades per tag. Even above that, a standout setup among many tags may be chance. Super Algo Kit treats it as a hypothesis for a strategy card, not a finding.
Is my trading data shared?
The journal is built in your own project and keeps account data on your machine, out of shared files. Super Algo Kit is software you run yourself, not a hosted service or a managed account.
Keep reading
More guides.
India · Broker APIZerodha KiteSuper Algo Kit helps you build a Zerodha algo trading bot on Kite Connect inside your own AI coding agent.
United States · Broker APIAlpacaSuper Algo Kit helps you build an Alpaca trading bot inside your own AI coding agent.Claude Code · Coding agentClaude CodeSuper Algo Kit turns Claude Code into an algo trading team, so you can build your own Claude Code trading bot.Sources the kit's card cites
- Barber and Odean (2000). Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Journal of Finance.
- Chague, De-Losso and Giovannetti (2019). Day Trading for a Living? SSRN working paper 3423101 (reported).
Build it with Super Algo Kit.
15 specialist roles and 35 skills inside your coding agent. Paper first, live only when you say.
Super Algo Kit is development software. It is not investment advice, a signal service or a promise of performance. Trading involves substantial risk, including the loss of all capital you trade with.