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Detailed overview of building Python algo trading system with Bitcoin an crypto currency focus
Remember this is the first draft of this:
COURSE NAME - Cryptocurrency and Algo Trading Infrastructure with Python: A Practical tutorial for Python developers
Sub-title - Discover the secrets behind trading infrastructure components, high speed in-memory NOSQL database options, cryptocurrency exchanges and simple technical indicators, and more. And use the same techniques in your Python code.
AUTHOR NAME - Bryan Downing
DURATION -
OVERVIEW – As Bitcoin ruled the financial news cycle in recent times, many have had a peak interest in cyrpto currency along with systematic trading. There are many advanced trading research techniques including machine learning, AI, or quant. This course was created for the ‘newbie’ who has a basic understand in popular programming languages but easy to learn such as Python. A focus of technical analysis was chosen since it is popular among retail traders. It is also seems to offer more predictable results as opposed to harder to learn concepts such as quant or machine learning. In essence, a simpler with more effective techniques were purposely chosen to get someone with basic programming knowledge (eg. Python) to get ramped up faster! It is very hopeful any student will become more confident in their capabilities to complete this without the unnecessary complexities that usually hold back their success.
TARGET AUDIENCE - Python programmers (including data scientists etc.) who want to understand algo techniques and apply them into a primitive automated trading system. Pro or Retail traders who have an interest in learning the basics of Python and systematic trading.
KEY FEATURES
Infrastructure modern component implementation fo an algo trading system
Basic coverage of crypto currency Python packages and crypto currency exchanges
Technical analysis library package use for strategy idea development
APPROACH –
Videos and sample Python source code scripts are made available at time of presentation. Note that scripts are meant to to be small and simple for easiest consumption. Advanced techniques are stripped out to ensure completion of this course. This can be used as a launching to pad to understand the components of a primitive algo trading system In short, it is devised in a way to get you up and running as quickly as possible.
http://quantlabs.net/blog/2018/03/new-course-building-python-algo-trading-system-with-bitcoin-an-crypto-currency-focus/
WHAT WILL YOU LEARN
- The major components in any trading system
- Broker and asset class options
How crypto currency (e.g. Bitcoin) has becomes a hotbed of profit potential
Strategy coding basics to help in analyzing using popular techncial analysis techniques
All software mentioned is open and source with the exception of ChartDirector whi
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By QuantLabs.net
2.5
66 ratings
Remember this is the first draft of this:
COURSE NAME - Cryptocurrency and Algo Trading Infrastructure with Python: A Practical tutorial for Python developers
Sub-title - Discover the secrets behind trading infrastructure components, high speed in-memory NOSQL database options, cryptocurrency exchanges and simple technical indicators, and more. And use the same techniques in your Python code.
AUTHOR NAME - Bryan Downing
DURATION -
OVERVIEW – As Bitcoin ruled the financial news cycle in recent times, many have had a peak interest in cyrpto currency along with systematic trading. There are many advanced trading research techniques including machine learning, AI, or quant. This course was created for the ‘newbie’ who has a basic understand in popular programming languages but easy to learn such as Python. A focus of technical analysis was chosen since it is popular among retail traders. It is also seems to offer more predictable results as opposed to harder to learn concepts such as quant or machine learning. In essence, a simpler with more effective techniques were purposely chosen to get someone with basic programming knowledge (eg. Python) to get ramped up faster! It is very hopeful any student will become more confident in their capabilities to complete this without the unnecessary complexities that usually hold back their success.
TARGET AUDIENCE - Python programmers (including data scientists etc.) who want to understand algo techniques and apply them into a primitive automated trading system. Pro or Retail traders who have an interest in learning the basics of Python and systematic trading.
KEY FEATURES
Infrastructure modern component implementation fo an algo trading system
Basic coverage of crypto currency Python packages and crypto currency exchanges
Technical analysis library package use for strategy idea development
APPROACH –
Videos and sample Python source code scripts are made available at time of presentation. Note that scripts are meant to to be small and simple for easiest consumption. Advanced techniques are stripped out to ensure completion of this course. This can be used as a launching to pad to understand the components of a primitive algo trading system In short, it is devised in a way to get you up and running as quickly as possible.
http://quantlabs.net/blog/2018/03/new-course-building-python-algo-trading-system-with-bitcoin-an-crypto-currency-focus/
WHAT WILL YOU LEARN
- The major components in any trading system
- Broker and asset class options
How crypto currency (e.g. Bitcoin) has becomes a hotbed of profit potential
Strategy coding basics to help in analyzing using popular techncial analysis techniques
All software mentioned is open and source with the exception of ChartDirector whi