Risk before execution
Interactive position-size and risk/reward calculators, a shared rules framework, and a curriculum that treats losing trades as part of the process.
Try the position-size calculator →Ratigan Capital / personal proprietary lab
Financial freedom through a repeatable process,
not promises.
Free lessons and untested playbooks are open now. Verified results and a deeper journal will be published only after they meet the research standard (target: January 1, 2027). Crypto-focused. No signals. No made-up numbers.
Financial freedom is something to learn toward, not something promised. “AI-driven” here means proposed research assistance, not operating trading bots. No verified P&L is published yet.
- Risk accepted before the click
- Each trade is one outcome in a series
- Losses stay in the record
- Evidence before results
System architectureDesign map · not live telemetry
01 / Evidence
AvailableData and research intake
Research pages are published · no live data feed
Start with a question and inspect the source, including what is uncertain or missing, before a rule is treated as a finding. This is the data and research intake for the lab—not a market signal.
Research →Research standard →Technical examples →Digital-assets study →Full explanation on Lab / Systems →
PUBLIC BUILD / PRE-RESULTSRead the evidence standard →
How to use this site
A recommended starting path.
Free lessons and untested playbooks are open now. Verified results are not. Begin with risk, then the formula, then the rules, then the publication standard.
01
Start the free risk lessons
Invalidation, the stop, and accepting the cost before you enter.
02
Size the trade
The position-sizing formula, then try it in the interactive calculator.
03
Read the core rules
The shared risk protocol behind every untested playbook.
04
The research standard
What a result must show before it is published. Target: January 1, 2027.
- New to charts? Begin with Josh at What a market is, then follow the ten-lesson path.
- Want the tools now? Open the position-size and risk/reward calculators.
- Want the person behind the work? Read The story or the lab notes.
Learn with Josh
A beginner path, hosted by Josh.
Ten short lessons on what a market is, how to read a chart, and how to accept risk before you enter. Education only — no signals and no promised results.
Pictures of the ideas
Sweep, size, and R — in one pass.
Three teaching diagrams for the setups and math this lab uses. They are illustrations, not market data and not results.
See the liquidity sweep playbook (explicitly untested), the position-sizing lesson, and thinking in R.
01 / The system
Build the process. Expose the assumptions.
Rules before conviction
8 written playbooks with explicit entries, exits, invalidation and limits. A written rule is not evidence of an edge.
Read the playbooks →AI as a research assistant
A design for source-linked summaries, contradiction checks and journal review. Human verification and risk decisions remain mandatory.
See the proposed AI layer →02 / Membership
The open lab is the proof layer.
Planned membership goes deeper into the reasoning: the playbook as it is built rule by rule, and the full series of outcomes, losses included—not trade signals.
Available · free
Open
The public proof and education layer.
- 10 learning lessons and risk calculators
- Four explicitly untested playbooks
- Systems documentation and public lab notes
Planned · not available
Member
The proposed deeper context layer.
- A full journal with decision context
- Post-mortems with costs and mistakes
- System documentation and moderated community
Planned · not available
Inner Lab
A proposed closer look at the research process.
- Deeper system walkthroughs
- Research review and process discussion
- Scope and access still to be defined
Membership is the planned main product, not an offer currently for sale. No pricing or opening date is confirmed. Applications, payments and accounts are off. No signals, trade copying or promised returns at any tier.
03 / Journey
An implementation record.
Not a highlight reel.
Document what exists, what remains a design, and what failed to meet the publication standard. The first notes describe this site’s real infrastructure; they do not invent a trading history.
Read the lab notes
Build note / November 6, 2026
A public lab without a pretend track record
Static publishing, browser-local lesson progress and deliberate gates on accounts, applications and results. What is implemented, what is not, and why the distinction matters.
Read the implementation note →04 / Digital-era research
Study the market beneath the chart.
A crypto research agenda for on-chain flows, leverage, liquidity and market structure. Start with a question, document the data limits, and never treat a wallet transfer as a trade signal.
01 On-chain flows ≠ investor intent
02 Open interest ≠ directional conviction
03 Displayed liquidity ≠ guaranteed fills
Frameworks and questions only. No live feeds, findings or alpha claims.
05 / Publication contract
The numbers have to earn their place.
Returns net of deposits
Separate contributions and withdrawals from investment results. Define the return method, period and costs before publishing.
Losses stay on the board
Keep mistakes, losing trades and failed hypotheses alongside favorable outcomes. Label backtest, paper and live separately.
Results in R
Report outcomes against initial planned risk, including fees and slippage. Show sample size, drawdown and limitations.
These are publication requirements, not claims about existing results. There is no verified performance record here yet. Read the complete methodology.
From the founder
I don't trade to be right.
I'm Josh Ratigan. My job isn't to be right about the market. It's to execute a process — an edge I'm still testing — and then report what actually happened, losses included.
Consistency, for me, doesn't come from calling direction. It comes from accepting the risk in full before I click, so that no single result can shake me off the plan. The fuller story, including the life behind it, will be told in Josh's own words.
Join the lab list
Occasional notes about this public lab — new pages and implementation notes. Not signals, not a membership account, and not an application.
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.