π Trading Journal β Tax Outlook
What the data on retail traders actually shows
Multiple peer-reviewed studies of real brokerage records consistently find that 70β97% of active retail traders lose money over multi-year periods, net of fees. The percentage isn't a guess β it's a range across three independent datasets, each drawing from years of audited account-level activity:
- Universidade de SΓ£o Paulo, 2020. 1,551 Brazilian retail equity-index futures traders tracked 2013β2015. Only 3% earned more than minimum wage; just 0.3% earned more than a bank teller. (Chague, De-Losso, Giovannetti β Day Trading for a Living?)
- UC Berkeley / National Taiwan University, 2014. Taiwan Stock Exchange records 1992β2006. Fewer than 1% of day traders consistently outperformed the market net of fees over multi-year windows. (Barber, Lee, Liu, Odean β multiple peer-reviewed papers.)
- European Securities and Markets Authority, ongoing. EU broker disclosures mandated under MiFID II report 70β85% of retail CFD accounts lose money in any given year. Audited regulatory data, published quarterly.
Why? It's rarely the strategy.
The pattern that separates the few who survive from the many who don't is behavioral, not technical. The same setups, the same indicators, the same charts β applied with very different outcomes. The differentiators are:
- Self-awareness. Knowing your real risk tolerance, your reactions to losses, your tendency to revenge-trade or chase a missed move. Most blowups are not skill problems β they are reactions to the trader's own emotional state.
- Money management. Tracking every dollar before it moves. Giving trading capital its own clear box, separate from rent, groceries, and emergency reserves. Most retail traders cannot answer "what is my current month's net?" without opening three apps and a calculator. That's the gap.
- Process repeatability. Making the same decision under the same setup every time, regardless of mood, recent results, or screen time. Consistency beats cleverness over a career.
Why this site starts with discipline
The program here is built around the data above. Crawl comes first β financial discipline, budget mastery, debt visibility β because the academic record says that's what separates the survivors. Walk and Run only come after.
The journal you're using is part of that crawl: track every trade, see your real win rate, watch your real reserve grow or shrink. The numbers shown are about you, not anyone else. No "Top X% of all traders" framing β that's the kind of fabricated benchmark that taught a generation of retail traders to feel like winners while losing money. You'll see your own win rate, your own monthly P&L, your own consistency. That's the only number that matters.
Sources:
Chague, De-Losso, Giovannetti (2020). Day Trading for a Living? Working paper, Universidade de SΓ£o Paulo. Search SSRN by title for the latest revision.
Barber, Lee, Liu, Odean. Multiple papers using Taiwan Stock Exchange data 1992β2006; see Do Day Traders Rationally Learn About Their Ability? (2014, peer-reviewed in Review of Financial Studies).
European Securities and Markets Authority (ESMA). Retail CFD disclosure requirement under MiFID II Product Intervention Measures, in force since August 2018; broker-level statistics published quarterly.
Year-to-date (actual + projected)
Quarterly estimated-tax schedule (Form 1040-ES)
Due dates per IRS Estimated Taxes. Safe-harbor rules: pay 100% of last year's tax (110% if AGI > $150k) OR 90% of this year's to avoid underpayment penalties.
Monthly outlook Β· 2026
STCG column auto-sums from your trade log for the month. Override by typing β useful if you haven't logged every trade. Future months start at $0; type a projection only if you want one modeled.
Tax configuration
Rate sources: IRS Rev. Proc. 2025-32 (2026 brackets) Β· Topic 409 (capital gains) Β· NIIT Β· Pub 550 (investment income)