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The Quant Cartel Strategy Exchange

The Quant Cartel Strategy Exchange

Date de sortie : 2025-02-24
© David Martin
The Quant Cartel Strategy Exchange - QR Code
4 épisodes
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4 épisodes
Audio
Écouter sur Apple Podcasts
Date de sortie : 2025-02-24
© David Martin
L’épisode le plus récent
Quant Cartel Strategy Exchange Ep #4 - Brad Unger: Algo Trading for Beginners

Quant Cartel Strategy Exchange Ep #4 - Brad Unger: Algo Trading for Beginners

Every week we invite a guest to join the studio after the Live Trading action has settled down, with the goal of sharing their thoughts, experience, and strategies across all aspects of life. If you would like to unsubscribe from these emails, please d
Durée : 52:47
Every week we invite a guest to join the studio after the Live Trading action has settled down, with the goal of sharing their thoughts, experience, and strategies across all aspects of life. If you would like to unsubscribe from these emails, please do so here.
Brad was good enough to join us on the Quant Cartel a couple of weeks back, and the value he imparted on the group was invaluable.
As background, Brad transitioned from a 25-year career in IT to trading in 2020, leveraging his analytical skills and understanding of complex systems to spot trading opportunities. His strategy centers on identifying news catalysts that move individual stocks, using a proprietary platform for order flow analysis and execution. Over the past two years, Brad has broadened his approach by developing algorithmic trading systems for indexes like the ASX200, UK100, and SP500. He operates three main strategies: two based on momentum and catalysts, and one on mean reversion. This automation has significantly increased his trading efficiency and diversified his opportunities without increasing his workload.
Brad has also been good enough to provide some resources which he believes, will significantly turbocharge the learning curve of an aspiring algorithmic trader. I hope you find these helpful.
Here are the Slides Brad put together to help us with the basics of Algorithmic Trading:
Here is Brad’s curated list of links which he believes are most helpful for Beginners:
Comprehensive online training course - https://www.coursera.org/learn/algorithms-part1
I have always liked “Brilliant” for online learning, lees comprehensive than the Princeton course but could be a great starting point for beginners -
https://brilliant.org/courses/thinking-in-code/?from_llp=computer-science
https://brilliant.org/courses/programming-python/?from_llp=computer-science
Here are the best books I have read that give both the fundamental makeup of markets and the coding aspects, both of which are required to write profitable algos -
Algorithmic Trading and DMA: An Introduction to Direct Access Trading Strategies - https://amzn.asia/d/csEOYwv
Trading and Exchanges: Market Microstructure for Practitioners - https://amzn.asia/d/bfAu6cR
Kaufman Constructs Trading Systems - https://amzn.asia/d/2kr5IPw
Algorithms Illuminated - https://amzn.asia/d/7scOzGW (Author has some good videos available here - https://algorithmsilluminated.org/)
So you're not re-inventing the wheel, this article has some great links to some Python libraries that will assist with sourcing data, code for indicators and backtesting engines, the author has also provided a brief review of each resource - https://www.qmr.ai/best-python-libraries-for-trading/
On the same theme of not doing everything from scratch, the Quantconnect platform is a great turnkey type platform that can be used to develop, backtest and forward trade strategies. It is a paid service however should be considered as it lowers the barrier to entry - https://www.quantconnect.com/
Finally, here are some youtube channels that I feel offer value -
Kevin Davey (generalised algo trading) - https://www.youtube.com/@AlgoTradingWithKevinDavey
sentdex (Python programming) - https://www.youtube.com/@sentdex
Part Time Larry (algo trading with an AI flavour) - https://www.youtube.com/@parttimelarry/videos
SMB Capital (Prop firm that delivers great content for idea generation) - https://www.youtube.com/@smbcapital
Related Reads:
If you’re a Sophisticated Investor, I recommend checking out Trade Nation, who have been massive supporters of what I’m trying to do with improving the financial outcomes and risk management strategies of CFD traders through using Data and Statistics.
Get a complimentary month of my twice daily TGM Ai-Insights Substack, and up to $2,000 signup bonus by applying here.
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit sywbdt.substack.com/subscribe
Id. d’épisode : 1000699578502
GUID : substack:post:157771896
Date de publication : 24/2/2025 à 05:47:04

Description

I’ve always been interested in the “Turtle Trader” experiment run by Richard Dennis in the 1980’s. If you’re not familiar, Dennis recruited 23 individuals (the "Turtles"), from diverse backgrounds with little to no trading experience. He taught them a simple, rules-based system for trading, focusing on trend following, risk management, and probabilities. The goal was to ultimately to test whether trading success came from natural talent or if it could be taught using a systematic approach. The Turtles achieved massive success, turning a $1 million investment into over $175 million within a few years. The experiment proved that disciplined, systematic trading based on probabilities could be taught to anyone.
The Quant Cartel will be my attempt at bringing the “Turtle Traders” concept into the 21st Century using our set of historical data and the power of AI to trade statistical market edges via live, group trading each morning from about 9:30am - 10:30am.
As part of this, each Friday we invite a guest into the Studio for a Strategy Exchange, where we share our approach, and in return, our guest gives our team a different perspective on a particular subject, whether that be trading related, or something else entirely.
We look forward to sharing some of these episodes with you.
sywbdt.substack.com

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