Research
Research you can check
Every test published here shows how it was done, not just how it turned out. If a result can't meet the standard below, it doesn't get published.
Crypto / Digital-era research
Research the structure, not just the setup.
Question-driven protocols for on-chain flows, derivatives leverage and liquidity. A research agenda—not completed findings or live signals.
Explore the digital-assets agenda → · Technical examples with charts → · Read the lab notes →Education and untested playbooks are open now. Verified results and membership remain pending; the target date is not a promise of availability. No result is published until it meets the research standard.
The research standard
Every strategy result published from launch day must include all of the following. Results that are missing any item stay unpublished.
Data source and date range
Which market, which exchange or data vendor, which timeframe, and the exact start and end dates tested.
Cash flows and returns
Separate deposits and withdrawals from gains. State the return method and show returns net of deposits, fees and costs; never treat contributed capital as performance.
Sample size
The number of trades. Small samples are labeled as small, and no conclusions are drawn from a handful of trades.
Entry, exit, and risk rules
Written precisely enough that someone else could repeat the test: entry trigger, stop, target or exit, and risk per trade.
Fees and slippage
The cost assumptions used (trading fees, spread, slippage, and funding where relevant). Results before costs are not shown alone.
In-sample vs out-of-sample
Which period the rules were built on and which period they were tested on afterwards, without changing the rules.
Drawdown
Maximum drawdown and the longest losing streak, shown next to the return, never hidden below it.
Wins and losses
Win rate, average win and average loss in R, expectancy, and the full trade list, losers included.
Type of result
Every result is labeled: hypothetical backtest, paper trading (simulated, forward in time), or live trading with real money. These are never blended.
Limitations
What the test cannot tell you: overfitting risk, market regimes not covered, data quality, and execution differences. No result is a guarantee.
Hypothetical results have limits. A backtest is a simulation run on past data. It assumes fills, costs, and discipline that real trading may not deliver. Past results, real or hypothetical, do not guarantee future results.
How losses are documented
Losing trades get the same detail as winners, and they are never removed from the record. Every loss write-up includes:
- The plan before entry: setup, thesis, entry, stop, target, and planned risk (1R).
- What happened: actual exit and the result in R, including fees and any slippage past the stop.
- Classification: a good trade that lost (rules followed, the idea just didn't work) or a mistake (a rule was broken). These are reported separately.
- The lesson and any rule change, with the date it takes effect. Rules are not changed after the fact to make old trades look better.
- Type label: backtest, paper, or live.
Hypothetical illustration · not Josh's trade · not a real result
Plan: sweep-and-reclaim long, stop below the sweep wick, target 2R, risk 1R. What happened: price reclaimed, then broke the sweep low and gapped through the stop; exit at −1.2R after fees and slippage. Classification: rules followed; the idea failed. Lesson: fills past the stop are part of the real risk, so size for them. Type: made-up teaching example.
Published results
No strategy results are published before launch. The first ones will appear here once they are verified against the standard above.
Notes
RSSHow to Become a Consistent Trader: Process Over Profits
Consistent trading is built on process, not on chasing profits. Here's how to judge your work, avoid the usual traps, and keep your rules intact.
Nov 13, 2026Accepting Risk Before You Enter: The Mindset Behind Consistent Trading
Consistency starts with accepting the cost of being wrong before you enter. Here's the mindset, the traps to avoid, and a checklist you can use.
Nov 13, 2026Trading vs. Gambling: The Real Difference Is Your Process
Trading vs gambling comes down to process: a defined invalidation, a known cost, and risk you accept before you click. Here's how to tell.
Oct 26, 2026Introducing Ratigan Capital, trading education built in public
What this site is, what launches on January 1, 2027, and the rules it holds itself to. No results yet, on purpose.
Education only, not financial advice. This is a personal record of one trader’s decisions, including the mistakes. Trading crypto carries a real risk of losing money. Full disclaimer.