I cannot type what I talk about here but there are quite a number of gems I have never publicized before. This is an important 30+ minute video. I especially highlight you do not need to trade 24/7. If you set a certain target of daily percent moves against your overall portfolio, you can easily reduce risk by overtrading. This takes place in both up and down markets for the crypto currency asset class.
There are lessons in this 30 minute video
Please watch this video with all the others I have highlighted on Youtube channel at youtube.com/quantlabs.
Lessons learned about CCXT Python package for 3 largest crypto exchanges Bitmex Binance OKex
Please be advised
Using CCXT with a recent script I sourced to download generically from various exchanges is powerful. I have thought come across some severe limitations in the process.
Binance appears to be the most reliable since you have the widest selection of timeframes you can use. Also, you can download up to 1000 rows into a comma separated value file as well.
Both Bitmex and OKEx offer some form downloading limit of 500 which really messes up my analytical Python script. When downloading, you can only seem to have a limit of 400 to just under 500. This seems to work only work for lower time frames like 1 or 5 minutes. As the timeframe selection is very limited compared to Binance.
I am unsure of other crypto currency exchanges what limitations offer but I will stick with Binance for now as the only exchange of interest. It seems that the others offer much lower daily volume which means slower fills due to lower liquidity. Also the other exchanges have weird download exceptions which also means the charting will not work as well.
Further note about Bitfinix
I just execute 5 request no different than Binance, Bitfinex starts thinking it is being attacked where it responds:
5 cryptocurrency lessons for a new trader or investor
Yes it has nearly triple in 2 months but will it do it again
Ignore the marketing hype of this video
Description of video:
This is the hottest I’ve ever seen the cryptocurrency markets, so I wanted to do a video on the top lessons to help new traders and investors navigate this exciting space. This recent bubble makes the China bubble of 2013 look tiny. And anytime there’s a lot of hype, I get really concerned because I see people make emotional investments and trades.
Lessons from trader who made 6200% on China stocks
Learn so let’s automate?
Huang Weimin, the hedge fund manager whose Chinese stock-index futures wagers returned more than 6,200 percent last year, has some advice for investors in 2016: Sell your shares now, before it’s too late.
To read the entire article, go to http://bloom.bg/1PO6Jnq
I have put together a set of lessons on what I learned from the IQFeed API presentation a few nights ago. In short, if you’re serious about trading and market depth analysis this is the service you really need!
Over the last few days, I have come to learn about pushing the limits of Redis. It can tolerate a lot since it is quite fast. I really do think that this is a game changer in how you deliver your market data through an AUTOMATED trading system.
I had to switch over from Postgres database to MySQL so I posted all the ways to connect into it via C Matlab and Java. Source code examples of each have been posted
A working demo of Simulink code generated C source with Interactive Brokers market data Java source via fast Redis NOSQL message queue
As you can tell, these last two postings will lay solid foundation for my upcoming high-frequency trading potential system that is being currently being worked on for my members. As said all source code is provided which is rather highly affordable.