Big bug found for Binance API bot development
Tag Archives: Intro to trend following technical analysis system with tutorial videos
Fun with Binance CCXT API trading
This sort of continues from the Python course
‘Crypto Currency trading idea with forward looking data tips for your strategy idea’
Registration of upcoming next Python Algo Trading course
Registration of upcoming next Python Algo Trading course
Huge China tariff in Oct healthcare outperform and Bitcoin largest bubble
Huge China tariff in Oct healthcare outperform and Bitcoin largest bubble
Smart money flow index intro
Smart money flow index intro
Continue reading
Introducing CFD analysis with automation from Oanda broker
Introducing CFD analysis with automation from Oanda broker
(Last Updated On: October 25, 2018)This is a big deal to showcase a new asset class in the Analytics service (see below to join if interested). This just adds value to this service. It also gives you true edge where capital is going into virtually unknown areas as the markets turn against you. I am pretty amazed with this.
Anyhow, if you don’t know what CFDs are but they pretty well the poor man’s way to get into commodities, futures/options, fixed income, and stock indices. Yo can find a definition here
https://www.cmcmarkets.com/en-ca/learn-cfd-trading/what-are-cfds
Do realize that this CFD market data is from Oanda. I still dislike them but I have 2 reasons why I stick with them:
- They are the only USA accessible forex broker who support Python. I get half of my user who are based out of the USA so I cannot ignore them.
- I do believe Oanda is more popular than a broker like Interactive Brokers according to Alexa.com
- You need to be careful of Oanda due to the market making division but I am not worried since my system does not depends on stop losses.
Download deepest analysis for crypto algo trading report
I have added the latest batch of reports in a ZIP file. Here you can find highly fresh reporting of automated deep technical analysis on the best trading opportunities. This is based on daily data with various reports showing different filtering techniques. This include volume or trend/momentum.
Python Algo Trading Infrastructure with Crypto Currency
NOTE that the LIVE component start Mon Jan 7! Notes of structure of LIVE class for 6 weeks
Billing
CRYPTO CURRENCY IS NOW ACCEPTED ! Get in touch to find out we can set you up via crypto payment
Overview and benefits but see below for detail content
Intro to Python 3
Topics covered in topic for Python version 2 or 3.
Part 1 CryptoCurrency Algo Trading Options with Python
1. Programming Language Overview
1.1 Coverage of scripting and interpretive languages
1.2 Legacy languages for live trading
1.3 Offer the pros and cons of typical languages you will use
1.4 Show how Python is most sensible and popular open source languages
2. Python tools and methodology
2.1 Python 2 vs 3
2.2 PIP the package manager
2.3 Python install options on operating systems
2.4 Tools like popular editors/IDEs e.g. Sublime
2.5 Simple Debugging techniques
2.6 Very high level concepts of popular machine learning frameworks and Jupyter use cases
Part 2 Market Data Wrangling
3. Options to capture market database
3.1 IEX and IQFeed
3.2 LMAX and Interactive Brokers broker overview options
3.3 Oanda market data source code demo
4. How to create Pandas dataframe to manipulate data
4.1 Read a comma separated value file (CSV)
4.2 Apply statistical calculation and manipulative row
4.3 Export data to CSV or Excel format
5. Redis NOSQL Overview and Sample
5.1 Why this is used
5.2 Open source and benchmarks
5.3 Compared against popular open source HFT project
5.4 Server and client edition
5.5 Python code demos
Part 3 Technical Analysis with Charting
6. Demo technical analysis indicator examples functions with TA-Lib
6.1 Bollinger bands
6.2 Exponential moving average
6.3 Standard deviation
6.4 Relative strength indicator
7. Intro to ChartDirector for Python
7.1 How to install Mac or Linux compliant like system
7.2 Advantages over open source Python packages including Matplotlib or Seaborn
7.3 Benefit of ChartDirector
7.4 Hints of developing interactive Self Standalone chart with potential live charting
Part 4 Introducing CryptoCurrency with Python
8. Cryptocurrency Outlook and CCXT Python Package overview
8.1 Intro to CoinBase.com to depend on volume
8.2 Reliable exchanges
8.3 Advantages of Python option vs web programming languages
8.4 Examples of CCXT Python Package
9. Funding Crypto Currency account
9.1 Different credit card option sources
9.2 Why banks block funding cryptocurrency via credit card
9.3 Round about way to fund anonymously via credit
10. Crypto Currency trading idea with forward looking data tips for your strategy idea
10.1 NVT Ratio
10.2 Futures and Options market
10.3 COT reports
10.4 Use of CoinMarketCap.com
Automated watchlist and position manager event details
How to use FED and other US government forward looking economic data
How to use FED and other US government forword looking economic data
This tutorial can be used in how to interpret these forward looking dataset from various US government agencies. This includes some manufacturing associations and the Federal Reserve
All this data is a tutorial of one of many report of my Analytics system can process. This is very useful to get a true outlook on how the American economic is doing from a fundamental point of view.
