Proof Methodology
Case studies built around journals, risk and process.
This hub is the public structure for future member stories, anonymized journal reviews and backtest examples. The standard is simple: show the process, define the risk, avoid guarantees.
Template
Prop firm drawdown review
How to separate valid losses from rule breaks when a trader approaches a personal drawdown limit.
- Export the journal sample and filter by session.
- Mark every loss as valid setup, unclear setup, or rule break.
- Compare drawdown against the personal stop before the official firm limit.
- Decide whether the response is patience, reduced size, or rule correction.
Template
NAS100 backtest validation
How to judge whether a NAS100 setup has enough R/R and drawdown stability before forward testing.
- Define setup rules before scrolling forward.
- Record every qualified trade with TradingView links.
- Compare 1:2, 1:3 and 1:4 target assumptions.
- Move to forward testing only after a meaningful sample.
Template
Weekly journal feedback loop
How a trader can use weekly notes, session data and trade tags to change one behavior at a time.
- Review equity curve, R/R curve, streaks and best/worst session.
- Pick one repeated mistake instead of changing the whole system.
- Write the next week's rule in the journal.
- Review whether that rule changed actual behavior.
Evidence first
Every future case study should include the journal sample, rule set, period reviewed and what was excluded.
Risk always visible
Drawdown, invalidation, losing streaks and personal stop rules should sit next to any positive outcome.
No guarantees
Case studies are educational reviews. They must not imply that any trader will pass, earn payouts or avoid loss.
Case study FAQ
Are these case studies financial advice?
No. They are educational examples of journal review, risk control and trading process analysis. They do not recommend trades, products, investments or prop firm accounts.
Do the examples guarantee future results?
No. Trading involves substantial risk. Backtests, journal examples and member stories are not guarantees of future performance.
Why are some details anonymized?
Trading journals can contain private account, broker, prop firm and personal information. We anonymize details where needed while preserving the review process.