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:
Institutional-Grade Risk Management Techniques:
#trading #algotrading #fundedtrader
==========================
👉 GET MY FREE BOLLINGER BANDS REVERSAL STRATEGY COURSE:
==========================
💬 LET’S CONNECT ON SOCIAL MEDIA
Forex Trader Community (Facebook Group):
Facebook:
Twitter: @desiretotrade
IG: @etiennecrete
🔕 Beware of other fake accounts
==========================
🛠️ RECOMMENDED TRADING RESOURCES
Forex Broker (Pepperstone):
Forex Broker for Canada (Axi):
Best Platform:
Backtesting Tool:
VPS (for algo trading):
Trading Journal:
Link do Vídeo
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.
Great guy, great interview. – 👍
TRADE like a machine in the building!!
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
Amazing interview – Thank you!
Hey , I am new in trading .I want to be a full time trader. I am working on it hardly but I badly need a mentor to make my trading skill a sharp knife. Anybody please suggest me a good mentor to level up my skills.
Commodore 64! Had you down as a Speccy guy like me, Martin.
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.
Excellent material. I am developing my own algo for 4years and I clearly can tell that this lad knows what he's talking about
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" 💪
Quality material. 🙏🎉
Excellent interview.
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
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.
Great interview. It's always good to hear about the genuine algo traders and their techniques.
I like your interviews. I hope you will interview Bob Volman who wrote Forex Price Action Scalping. His books are great.
Seems like he was just unlucky to hit a losing streak when the markets were very correlated. If they had been more correlated during the winning period the orange line would been way above the blue. In other words win big lose big vs win small lose small. So long term its just about the mental game or you personal taste.
There's already a ton of research being done in Ai eg. Neural Networks. They tend to heavily overfit
No beaches involved? I'm disappointed now…
No dude… this is not only for also traders, this is hard to understand if you only glance over this content. It requires a deep desire to understand otherwise you never will.
Gem packed this one… wish Martyn was my next door buddy.