'Automated Trading Secrets' - Martyn Tinsley | Trader Interview

In this trader interview, Etienne sits down with Martyn Tinsley. He is a full-time algo trader funded by Darwinex. Martyn shares some great lessons on risk management for algo trading and how to build a good algorithmic trading portfolio.

Chapters:
0:00 Benefit of self-improvement
0:22 Introduction
0:45 How Martyn Tinsley began his trading journey
3:21 Why the transition from Software Development to trading
4:26 How Martyn transitioned to full-time trading
5:11 What was the turning point for Martyn
6:56 How to approach algo trading
8:36 How to adapt to market conditions
9:40 How to build the right algo portfolio
18:20 What factors show market correlation?
23:20 The efficiency frontier
26:58 What type of strategies do Martyn trades
29:42 How many strategies are enough for diversification
32:03 The daily work of an algo trader
34:18 How Martyn became one of the 1st funded traders in Darwinex
37:54 How much track record do you require to become a Darwinex trader
40:08 How trading large funds affects your mindset
43:32 Where to find Martyn

Playlist Mentioned by Martyn:

#trading #algotrading #fundedtrader

==========================

==========================

💬 LET'S CONNECT ON SOCIAL MEDIA
Twitter: @desiretotrade
IG: @etiennecrete

🔕 Beware of other fake accounts

==========================

🛠️ RECOMMENDED TRADING RESOURCES

[ControlTheGuh]

I occasionaly check in here. Most guys are discretionary dudes talking about bullshit mindset rules, this guys approach comes close to how real quants handle their business

[pleneuf]

Excellent material. I am developing my own algo for 4years and I clearly can tell that this lad knows what he's talking about

[SassyOnline]

Spent a significant part of my life programming and a decent portion of that was automation in one form or another, started programming trading algos about 3 months ago and going strong rn, can't wait until its "perfected" 💪

[Bmxwrx]

Great interview. It's always good to hear about the genuine algo traders and their techniques.

[pokerpokerfan]

When a trader has legit track records, it is definitely worth to listen to. Rather than wasting time listening to someone but has no track records, smells like a marketer than a trader

[JohnEnergy]

I love Martyn… specially how he overthinks everything.

[RobFerris]

Thank you !! Good information and interview

[supermarketfx]

This was encouraging to see. I’m currently in the process of building my portfolio and plan to be using them within the next few months. It was helpful to know that there are others out there building their basket of EAs in a similar fashion. Great video, thanks.

[OneCreator]

His tutorials (in Darwinex) are great as well!

[kgothatsobojosi]

TRADE like a machine in the building!!

[paulbrown]

Commodore 64! Had you down as a Speccy guy like me, Martin.

[etalo]

I like your interviews. I hope you will interview Bob Volman who wrote Forex Price Action Scalping. His books are great.

[anmayo]

Great interview, as always!
In case of a follow up, I'd be interested to hear more about how the algos detect the current market type & adjust their rules accordingly

I was going to ask how the algo calculates correlation between positions but martyn was kind enough to create a whole playlist on the concept - this made my day! 💛
I try to use the volatility of each position for risk management (as andreas clenow teaches) & martyn's concepts could be a fantastic addition to it

I'm stunned by how sophisticated (but still probably not over-optimized) his systems are. He's truely a role model for us rookie traders

[FighterFred]

Nice interview. I got funded at Darwinex a few years back, it took a rather long time. Perhaps because I didn't understand their home made criteria well enough, they're non-standard. Their broker platform is very good with low spreads. The profit split is very low compared to FTMO etc. As for multiple strategies, another option is to only use one low risk algo at a time on one asset. Then the correlation problem goes away. I've looked for such controling software with no luck. When it comes to predicting the market with AI, the big hedge funds have had zero success even though they employ dozens of PhD data scientists at a time. The problem I guess is over-fitting, you can fit historical data very well with all those parameters, but as the market is time dependent and never repeats the prediction power is low.

[spdrge]

@etinne Can you put me in touch with this guy? I love how he has his portfolio management system... it's exactly what I am trying to build for my algos. I'd like to see about collaborating with him on a dash that manages algo portfolios.

[mariejane]

As a statistician you've made my day!

[jonatassilva]

We let the data, not the intuition or instinct, to guide us. - Jim Simons. The best trader/investor/speculator whatever you wanna call it, ever.

[richunclejoey]

Where can one access Martyn's correlation data? He should code a correlation indicator for manual scalpers as myself to utilize. Great interview. Great guest. Always my fav tube/podcast. Keep up the great work Etienne.

[brucesmith]

Great interview E I know nothing about computer programming but it would be funny to learn and turn a profit

[garybooth]

Great interview with nice insight into how to get the best performance out of a portfolio of algo's, definitely something of intertest for me as an early stages / beginner algo trader with a few different strategies running.
As far as using AI for algo trading there has been a fair amount of research on this and from what I understand is that AI is much better at managing your portfolio rather than building strategies. Dr Ernest P Chan from predict now AI has done some really good work in this space, he may be a good person to interview for an in depth discussion on the future of algo trading.