Lorette used to research endlessly, watch screens all day, and overthink every trade. After moving to one mechanical edge with fixed risk and rule-based execution, she now trades calmly, follows alerts without negotiation, and judges results across a series of trades rather than any single outcome.

Background

Lorette has an engineering background and now works shift work driving trains. She has enjoyed the markets, and has even funded two investment property deposits from trading profits. But it always felt like hard work: “I was constantly on my phone… on margin at one stage… very nerve-wracking on bad days,” she says. “Without experience, you end up over-analysing in circles. It’s exhausting.”

She tried the classic dividend/DRP approach, held names too long, and admits she sometimes sold winners too early and held losers too long. Success came in bursts, then give-back — lots of effort, low peace. Without a single edge and fixed risk, stress filled the gaps, a pattern similar to how Ron B. transformed his trading consistency after 20 years of struggle.

Before SWS

The old pattern: Constant phone-checking, trading on margin, over-analysing in circles, holding losers too long, and selling winners too early to “recycle” gains into the next quick move.

The desired shift: Less screen time, no more margin anxiety, a way to execute without overthinking, and habits she could carry into life outside the markets.

The Turning Point

Lorette heard about Share Wealth Systems through a trusted colleague and completed the Learn To Trade Properly (LTTP) program. Trusting the process over a longer period changed how trading felt for her.

“Reading the books you recommended and listening to you speak, trusting the process over a longer period, gave me calm. Sometimes I don’t even look at my portfolio… I know it’s doing what it has to do.”

— Lorette, SWS member

The SWS Process She Adopted

Lorette moved from ad-hoc decisions to a mechanical system built around one tested edge, predefined risk, and habits that turned execution into something she could measure rather than feel her way through.

One tested edge

Entries, stops, and exits are set in advance with predefined risk per position — no mid-trade edits. “The exit fires because the rule says so.”

Rule-based execution

Alerts are acted on without debate, and predefined losses are accepted as part of the process rather than fought against.

Journaling and weekly review

She tracks win rate, profit ratio, and expectancy (the edge, not the last trade), adherence, and drawdown, using a pre-trade checklist and a “no negotiation” card at the desk.

A routine built for shift work

Lorette fits the scan cadence into her schedule. If a valid alert hits while she’s asleep, she acts next session — no chasing, no rewriting the plan.

Implementation Timeline

Week 1 — Set the risk unit and rule card. Set a risk unit small enough to sleep at night, print the rule card (entry, stop, exit), and start a journal for adherence and notes.

Week 2 — Run the scan on a kept schedule. Run the scan on a schedule that fits around shift work, even if short, and place orders with fixed risk and no edits.

Week 3 — First weekly review. Review win rate, profit ratio, expectancy, drawdown, and adherence. Make one small process adjustment if needed.

Week 4 — Repeat the loop. Aim for 20+ rule-clean trades. If adherence is 90% or higher and drawdown stays inside plan, maintain size — don’t scale yet.

Outcomes

Lorette doesn’t pitch miracle numbers. Instead, she reports lower stress, cleaner execution, and the confidence to add capital: “I’ve started adding to my investing because I began at the bare minimum. Over the next three years, I want to grow that, accepting the good and the bad along the way.”

Lower stress, cleaner execution, confidence to add capital. This case study reports Lorette’s own qualitative account of her results — reduced stress, more consistent adherence, and a willingness to grow her position size gradually. No specific performance percentages are published for this member.

Gary’s Commentary

Calm is a process outcome.

Lorette’s story is a good reminder that calm isn’t a personality trait — it’s what happens when negotiation is taken out of the trade. She didn’t need a better forecast; she needed one edge, fixed risk, and the discipline to let the exit fire because the rule said so. Judging yourself by adherence across a series of trades, not by any single outcome, is exactly what LTTP is built to teach.

— Gary Stone, founder of Share Wealth Systems

Frequently Asked Questions

What was Lorette's trading background before SWS?

Lorette has an engineering background and works shift work driving trains. She traded on and off, at times using margin, and often felt exhausted by constant over-analysis.

What problem did Lorette face with her trading?

Lorette was constantly checking her phone, over-analysing in circles, holding losers too long, and selling winners too early, which left her stressed rather than confident.

What process helped Lorette trade with more calm?

Lorette completed the Learn To Trade Properly (LTTP) program, which gave her one tested mechanical edge, predefined risk per position, and a weekly review routine.

Is Lorette's experience typical of every SWS member?

No. This case study reports Lorette's own qualitative account. Individual results vary, and no specific return figures are published for this member.

Ready to trade with more structure and less guessing?

SWS combines mechanical trading rules with the mindset and process training needed to execute those rules through real market pressure.

See How SWS WorksNo personal advice. Explore the process and decide whether it fits your circumstances.
Gary Stone, founder of Share Wealth Systems

About Gary Stone

Gary Stone is the founder of Share Wealth Systems and creator of the SPA3 trading methodology, with over 30 years of market experience and 8,000+ hours of R&D.

Share Wealth Systems holds Australian Financial Services Licence AFSL 250900.