- 칠월 31, 2018
- 게시자: 외환 위키 팀
- 범주: 외환 거래 시스템
I'm starting this thread in the hopes that it may be useful to a different particular person later who would possibly decide to go the identical route. To be reliable, I benefit from information trading and each little factor that comes with it. I've spent a majority of my time trading Shares and Decisions nevertheless I've always been involved about FX (The no PDT rule actually attracted me).
That talked about, as a software program program engineer by day, I'm naturally drawn to the side of algorithmic trading merely for the love of the science behind it. As a result of it encompasses each little factor I am involved about equal to programming, 거래, 자금, 알고리즘, 및 통계.
Oddly adequate, over the years I've coded in further languages than I care to itemizing proper right here 
. Nonetheless I've coded prolonged adequate to experience that there comes a level when most languages seem the comparable; it's the frameworks used with them that may drive you nuts. 비록 그렇다 하더라도, the solely time you would possibly uncover variations language-wise is that if you end up attempting to do one factor terribly superior, streamlined, and or with fast execution.
Nonetheless as future would have it, I've in no way coded in Python. I had always deliberate to pick it up nevertheless in no way obtained spherical to it. Go decide. So this could be a good different to pick up the language on the fly. I decide a few days...each week tops. The language seems quite simple.
As far as my targets, I already commerce with Oanda and I've been reviewing the API docs over at QuantConnect . I've moreover organize an account over at Quantopian as properly. Merely making an attempt out the communities and gauging their whole train ranges. Better than probably I'll most certainly spend the majority of my time initially finding out by means of QuantConnect simply because I'll have the means to run my scripts in direction of my very personal account, in the end. 그리고, QuantConnect moreover affords C# as a language different; that was initially participating to me. 그럼에도 불구하고, I promised myself I won't lower than give Python a go as a result of it seems to be the "favorite" in numerous algorithmic trading circles. To not level out, there are a ton of examples in Python and the majority of various platforms affords that language as properly. (Bear in mind: I am nonetheless up in the air though, I would take into consideration that C# executes faster with a additional superior script on account of python has some bloat...nevertheless that's one different dialogue and that's what bench checks are for.)
Additional importantly, I need to maintain this thread updated with information detailing how "나" obtained from A to B and each little factor in between alongside the method. I am truly starting from scratch and have no idea what the heck I'm doing or the finest approach to get started aside from opening an account at QuantConnect 
.
Regardless, much like another seller, I want to flip into additional educated about FX and work on turning into continuously worthwhile. The motivating subject behind this endeavor is an easy one. I am making the assumption that I might get hold of a level of information that I will not have if I had merely continued casually trading and rising by means of which have. 하지만, one would possibly argue that I would obtain the comparable or the identical diploma of information over time regardless. I would merely attain it faster taking this route. For what it's worth, I am not talking about the data gained from trading per se, as nothing can change taking fairly just a few keep trades. I'm roughly talking about the data of FOREX and trading as a result of it pertains to FOREX as a subject 
그래도, please be comfortable to go away any suggestions, ask questions, or current advice. I'm new proper right here so I'm positively making an attempt to make buddies as properly.
And if this was a TL;DR state of affairs that's cool too!
As I suspected Python is pretty straightforward to review . I admit that I'm most certainly additional biased than most on the topic of accessing subject on account of I write code all day. So what is easy for me may be barely robust for a further. Using that as a given. I would nonetheless merely advocate a mannequin new coder start with Python first as as compared with totally different languages on the market. If for no totally different motive you are going to get to the enterprise of creating functions so much faster -- creating one factor that is actually doing work.
Additional importantly, early on in the e-book, I will see why Python will be such a super language to put in writing down algorithms with as the language merely seems constructed for it. 하지만, I'm nonetheless holding my reservations about the whole execution tempo in comparison with totally different languages.
As far as the e-book, this may be very BASIC, as soon as extra biased. Nonetheless it is doable for what I would like.
One amongst my favorite communities is over at StackOverFlow. I uncover myself there as soon as I've to get clarification on programmatic syntax. So I'll say this so much, there's such an element as being "Pythonic" and when you want your code to be accepted in the neighborhood in a important method, then it's best to objective to do points the "Python method".
Anyway...
My current environment stack looks as if this:
1. Put in the latest mannequin of Python 3.x
2. Elegant Textual content material 3
3. Anaconda Plugin for Elegant Textual content material
Elegant Textual content material is an superior textual content material editor. It actually works natively with Python allowing you to assemble your code and execute it in the editor. Executed outcomes appear in the console window beneath. Very useful.
You most likely have ever achieved any coding sooner than and also you acknowledge what intellisense is (Seen Studio) you'll positively want to arrange Anaconda. The anaconda plugin principally means you can dot off an object and see all of the obtainable methods, 기타 등등. Saves you time from having to seek for stuff in the API. Very useful.
At the price I'm going I would most certainly be achieved with this e-book in a few days. Nonetheless I'm flying out of metropolis for 2 days subsequent week for work. So I assume we'll see the method it goes.
At most interesting, by subsequent weekend I decide I ought to easily have the means to navigate my method spherical the Quantconnect docs using Python.
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