Pelajari Ilmu Komputer dan Data dengan Perdagangan Algoritma

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intro:
Saya selalu terpesona oleh betapa cepatnya sistem komputer melakukan perhitungan dan sejak saya menemukan jual beli algoritmik, saya langsung menyukainya.. Namun saya dulu benar-benar salah tempat dengan banyak saran alternatif di seluruh subjek:
  1. Cash administration
  2. Making extra trades to be assured that system works
  3. Trading technique
  4. Trading Journal
  5. Bear in mind about statistical efficiency of trades
  6. Market Kind
  7. Again-testing science
  8. Bear in mind about macroeconomic occasions
  9. Be social
  10. Dan seterusnya ...

Every thing have to be thought-about so it might change into complete burden for anybody trying to climb this rock! ... however I'm a lazy particular person to be constant in these particulars

Pada saat yang sama [professionally] I've found the ability of R Statistical Software program. So I began to check each issues on the identical time! I made a decision to make my method in algorithmic buying and selling! I needed to create utterly automated system that will think about all above features by itself permitting dealer simply to oversee and verify the progress. I noticed that R [and Python too] are simply the nice instruments to assist me with my concept. Lastly I've spend a couple of 12 months to progressively create few constructing blocks utilizing mixture of MT4 and R...
akibatnya:
I discovered two issues:

  1. I used to be rapidly avoiding burden of guide operations inside algorithmic buying and selling
  2. I used to be creating superb content material that helped me to study and apply R abilities which I used to be effectively utilizing later to develop professionally

lastly:
I made a decision to make all my research public for each one to breed!
dan sekarang:
I've printed a number of e-learning programs as a step by -step information to re-create my system and study pc and knowledge science:

  1. Arrange your Residence Trading Surroundings - Learn Computer and Data Science by Algorithmic Trading, arrange your Trading Surroundings
  2. Arrange your Trading Technique Robotic - Learn how Trading Robotic Template is working and easy methods to modify it to work with Determination Assist System
  3. Arrange your automated Trading Journal - Construct your individual Interactive Trading Journal in R Shiny App
  4. Statistical Trading Evaluation and Management - Learn to arrange Automated Statistical Evaluation and Management of your Trading Techniques. Learn Reinforcement Studying!
  5. Foreign exchange Information and Sentiment Evaluation - Learn to cease your Algorithmic Trading System when particular Macroeconomic Occasions are anticipated
  6. Detect Market standing with AI - Learn to make use of Supervised Deep Studying modelling to detect patterns of Monetary Property
  7. Growing Self Studying Trading Robotic - Learn to assemble Good Studying Algorithms. Predict future value change primarily based on monetary knowledge patterns

Coloration Legend: Associated to Algorithmic Trading | Associated to Data and Computer Science

what's the message: I imagine that the core part of such complete system ought to be Determination Assist System. Expandable system composed of the constructing blocks.

I hope to debate these concepts right here and hopefully assist others to study pc and knowledge science to spice up your provider and have enjoyable [hopefully even have > Learn Computer and Data Science with Algorithmic Trading 1

] in buying and selling

Waspadalah: Please use this thread to debate concepts of:

  1. studying pc and knowledge science with algo - membeli dan menjual;
  2. utilizing Determination Assist System in Algo-trading;
  3. comparable examples already constructed by others

Advice is to not go in deep dialogue for every particular person subject as to keep away from 'data overload. If not exist but, I'd slightly create a separate thread
Click to Enlarge

Name: screenshot.png
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Peringatan: The strategies I'm sharing are fairly time consuming to breed. I've lately reproduced them on separate machine spending about 15 jam [3 hours on troubleshooting with Windows 10]

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Pengarang: Tim Wiki Forex
Kami adalah tim Trader Forex yang sangat berpengalaman [2000-2023] yang berdedikasi untuk menjalani hidup dengan cara kita sendiri. Tujuan utama kami adalah untuk mencapai kemandirian dan kebebasan finansial, dan kami telah mengejar pendidikan mandiri dan memperoleh pengalaman luas di pasar Forex sebagai sarana kami untuk mencapai gaya hidup mandiri.