Most traders don’t struggle because they lack strategy.
They struggle because they don’t trust themselves when it matters most.
In this solo episode of Talking Trading, Louise Bedford unpacks one of the most overlooked edges in trading: self-trust. Not hype. Not bravado. And not confidence borrowed from headlines, hot tips, or social media.
This episode explores why hesitation, overconfidence, emotional swings, and system-hopping all stem from the same root issue — and how self-trust is built through behaviour, not prediction.
You’ll learn why confidence isn’t something you ‘feel’ before a trade, but something you earn after the trade, by doing what you said you would do — especially when it’s uncomfortable.
In this episode, you’ll learn:
- Why hesitation isn’t a discipline problem, but a confidence gap
- The critical difference between confidence and overconfidence — and how to spot it in your own trading
- How self-trust is built after execution, not before entry
- Why borrowed confidence collapses during volatility and drawdowns
- How needing to be right quietly destroys consistency
- Why drawdowns don’t break traders — doubt does
- The Swedish concept of Lagom (“just enough”) and how excess undermines execution
- How over-effort, over-analysis, and over-trading backfire through the law of reversed effort
- Why short-term comfort sabotages long-term success (hyperbolic discounting explained)
- A simple self-trust checklist to identify where confidence is leaking from your process
Louise also shares personal stories from her early trading years, including how expectations – not losses – almost pushed her out of the markets, and why longevity, not intensity, is the real marker of trading success.
This episode is for you if:
- You hesitate on trades you know meet your rules
- Wins push you into aggression, and losses knock you off balance
- You follow your system on good days, but abandon it under pressure
- You’re tired of system-hopping, second-guessing, or fighting yourself
This is not an episode about predicting markets.
It’s about building the quiet confidence that lets you execute cleanly, stay consistent, and remain in the game long enough for skill to compound.
Because the market doesn’t reward intelligence.
It doesn’t reward opinions.
And it doesn’t reward borrowed confidence.
It rewards traders who trust themselves enough to act — even when it feels uncomfortable.
Next Steps:
- Grab a copy of Louise’s book Trading Secrets for more step-by-step trading guidance.
- Check out the Trading Made Simple video course, free at tradinggame.com.au, to move from beginner to confident trader at your own pace.
- Do Louise’s survey so she can shine a light into your blindspots and book a call with her using this link: survey.tradinggame.com.au
About Louise Bedford
Louise Bedford has traded, taught, and written extensively about the financial markets for over 30 years, building a reputation as a highly accomplished and experienced trader, educator, and author.
She co-founded The Trading Game and has gained recognition for her unique approach to teaching trading psychology and market analysis.
Louise has authored several successful trading books. In particular, her titles include Trading Secrets, Charting Secrets, The Secret of Candlestick Charting, and Investing Psychology Secrets.
Louise runs her hugely popular, repeat-for-free Mentor Program Pro online course. Through this course, she shows you how to automate your trading so you can retire early and get on with your life.
Did you know you can book a free 30-minute call with Louise to discuss your current trading strategies?
Just click the button below to take the quick survey, and then you’ll be able to choose a time to talk to Louise.
Other ways to get in touch with Louise
Facebook: https://www.facebook.com/TradingGame/
Twitter: https://twitter.com/TheTradingGame
LinkedIn: https://linkedin.com/in/louise-bedford/
Youtube: https://www.youtube.com/tradinggame
TikTok: https://www.tiktok.com/@tradinggame.com.au
Instagram: https://www.instagram.com/tradinggame.com.au/
Image by DC Studio on Freepik
Image by AI Google Labs



