How traders can compete in the markets and find profitable edges - Jason Strimpel

In this episode, Jason Strimpel from PyQuantNews joins me to discuss how traders can find profitable edges and compete effectively in today's fast-paced markets. Whether you're a seasoned trader or just starting out, Jason's strategies and insights are invaluable for anyone looking to up their trading game.
Here’s just some of the points you’ll discover:
- How some traders get into trouble by confusing skill with luck,
- Why charts and basic trading platforms aren’t enough to compete in the markets,
- The importance of looking outside the charts for genuine market inefficiencies,
- The dangers of brute-force data mining for strategy design and what to do instead,
- Creative approaches to finding robust trading edges,
- The impact of behavioral patterns and structural market inefficiencies on trading strategies,
- How data-driven strategies can help you identify and capitalize on market inefficiencies,
- Identifying areas in the market where inefficiencies may exist,
- And much more.
Next Steps
If you’re interested in learning Python for Algo trading and Quant finance, Jason has kindly provided a special Better System Trader deal for his Getting Started With Python for Quant Finance program. It closes in a few days, get more details here: bettersystemtrader.com/python
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[00:00] Introduction
[0:02] Welcome and Overview: Jason Strimple
[1:06] Background: From Hedge Funds to Quantitative Analysis
[4:23] Challenges Faced by Traders in Competitive Markets
[7:21] Evolution from Discretionary to Algorithmic Trading
[11:17] Demonstrating a Profitable Trading Strategy
[16:36] Analyzing the Validity of Trading Strategies
[21:01] Importance of Economic Linkages in Trading
[24:48] Expanding Trading Strategies Across Markets
[28:50] The Importance of Simplicity and Sophistication in Trading
[34:07] Fundamental Principles of Algorithmic Trading
[38:27] Techniques for Finding Signals in Noisy Markets
[43:17] Effective Methods for Idea Generation in Trading
[48:51] Starting Points for New Quant Traders
[53:07] Overview of Jason's Python Training Course
[57:46] Handling Variance Between Open and Closed Profits
[59:06] Key Practices Once Becoming a Profitable Trader
🎓🎓🎓 MORE TRADING EDUCATION & CONTENT FROM BST/BTA 🎓🎓🎓
► Better System Trader website: bettersystemtrader.com
► Interviews With Pro Traders: interviewswithprotraders.com
► The Breakout Trading Revolution: thebreakouttradingrevolution.com
► Smashing False Breakouts: smashingfalsebreakouts.com
► Trading Market Internals: tradingmarketinternals.com
Disclaimer:
Trading in the financial markets involves a substantial risk of loss. All content produced by Better System Trader is for informational or educational purposes only and does not constitute trading or investment advice.

[@RichardDalePerth]

So many gems in this one - well done Jason and Andrew.

[@BetterSystemTraderPodcast]

thanks Richard!

[@ragstoriches919]

Phenomenal episode

[@BetterSystemTraderPodcast]

Glad you enjoyed it!

[@kaisylin6265]

luck surface area, that's pretty high level concept

[@BetterSystemTraderPodcast]

agreed, very cool!

[@keith2774]

love this

[@BetterSystemTraderPodcast]

thanks keith

[@goodoboyde]

How much capital do I need to trade a profitable trading system?