Both discretionary (manual) and algorithmic trading have their pros and cons. Which is right for you and why?

In this episode, we discuss precisely this and more!

Learn how Darwinex empowers Traders:
https://www.darwinex.com/?utm_source=soundcloud&utm_medium=podcast-description-above-fold&utm_content=one-trader-to-another-podcast-roman-ep2

The Alpha Team at Darwinex is composed of retail traders just like you, individuals who’ve navigated through many a backtest and trading strategy, style, news release, economic crisis, and traded most financial asset classes.

Their trading histories are publicly available for anyone to see on the DARWIN Exchange, verified and certified by Darwinex.

Learn how Darwinex empowers Traders:
https://www.darwinex.com/?utm_source=youtube&utm_medium=video-description-above-fold&utm_content=one-trader-to-another-podcast-ep1

They’ve been at several Brokers before arriving at Darwinex, making it their home, trading environment and capital raising ecosystem all in one.

They’ve built track records over many years and invested tens of thousands of hours (and continue to) in improving both their trading process and their psychologies to match.

They’ve used most popular trading platforms and APIs, and experimented with various different types of trading strategies in the Stocks, Futures, FX and CFD markets.

They’ve seen practically all there is to see in the world of commercial trading bots, expert advisors, indicators, CTAs, education, forums, courses and prop firms.

Leveraging Darwinex’s “Hedge Fund as a Service” offering, these same individuals can monetize their edge by attracting investor capital and charging for success - without the crippling legal and infrastructural costs that would otherwise prevent them from scaling their efforts.

In this podcast - the first of its kind at Darwinex - these traders get together to interview themselves!

Whether you’re a professional or just starting out in the financial markets, listening to this podcast means being a fly on the wall in a room full of people from whom you can glean information otherwise extremely difficult to find in the public domain.

If you aspire to scale as they strive to every day, tune in and hear them share what they’ve learned, for the benefit of traders and investors everywhere.

Enjoy the content and thank you in advance for your support and feedback!

If it brings you any kind of value, please consider leaving a like and comment on this video, share it on your social networks with anyone and everyone who aspires to scale their trading.

It takes one lone nut to start a movement.

Welcome to "One Trader to Another" - a podcast like no other.

#Darwinex #Trading #AlwaysEvolving #TraderMovement #Trading #TradingEducation #TradingStrategy #AlgorithmicTraders #SystematicTraders #TechnicalAnalysis #FundamentalAnalysis #Stocks #Futures #StockMarket #FuturesMarket #StockTrading #FuturesTrading #DiscretionaryTrading #ManualTrading #AlgorithmicTrading

Content Disclaimer: Past performance is not a reliable indicator of future results. The contents of this video (and all other videos by the presenter(s)) are for educational purposes only and are not to be construed as financial and/or investment advice.

Risk disclosure:
https://www.darwinex.com/legal/risk-disclaimer

Discretionary (Manual) vs Algorithmic Trading | One Trader To Another (2)

FREE DOWNLOAD LINK:
http://thehusk.ca/gate.asp?t=407341200

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• Track Info:

Title: I Like It!
Artist: NOWË
Genre: Travel Vlog
Mood: Relaxing
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You’re free to use this song in any of your videos, but you must include the following in your video description (Copy & Paste):

I Like It! by NOWË @nowemusic
Music provided by FREE MUSIC FOR VLOGS AND VIDEOS  http://bit.ly/freemusicforvlogs


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@nowemusic
www.instagram.com/nowemusic/
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FREE MUSIC FOR VLOGS AND VIDEOS

NOWË - I Like It [BUY BUTTON = FREE DOWNLOAD]

In previous episodes we talked about how liquidity aggregation works at Darwinex with every trade hitting the market, how our incentives are to always get you the best price and how we are a pure broker and not a market maker.

In this episode we talk bout the investor replica process.

After touching upon some basics (both traders and their followers/investors trade with our with FCA regulated brokerage, followers replicate, but do NOT know, underlying trades thus cannot bypass payment of 20% success fee of the trader) we discuss the following:

- Sequence of the replica process
- Divergence (difference between leader & replica price)
- Capacity of the trading strategy to get replicated bu investors (the more market liquidity you take, the more you move market price against you)

Every strategy gets to a point where it can’t take more capital. That’s when it’s reached full capacity.

In the case of news trading in retail, it's tens / hundreds of thousands before liquidity providers refuse to price either you or your broker. 

Or we can go all the way up to Bridgewater Associates, Renaissance Technologies etc., given that some of the biggest asset managers stop accepting new investors. As a matter of fact, some of them have even STOPPED accepting investors altogether!

In this episode, yo'll be also able to undrstand:

- How we measure capacity.
- How we provide traders with choices when managing their DARWIN's capacity.
- How traders can make the most of the market, i.e. encounter te optimal debt vs. capital mix (how much leverage do you borrow to boost return on your own capital and how much investor capital is ideal to top things off on the above).

How traders' trades get replicated for investors

Javier Colón shares his experiences with DARWIN portfolio creation, his considerations, investment criteria etc.

He states that these findings are in no way the ONLY ways to construct DARWIN portfolios, and encourages the audience and the wider community to leverage the DARWIN API to improve upon the New D-Score, create their own if they so wish!

Is there a best way to invest in DARWINs?

Warning: this is a #TraderMovement in progress. Includes raw, experimental, (but ZERO bullshit) content.

Discretionary (Manual) vs Algorithmic Trading | One Trader To Another (2)

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