Tag Archives: fast

New minute trimeframe analysis on fast trading down crypto currency market

As explained in this video, there are many reasons why I am using minute timeframe. It is a very tough environment to trade within crypto but there are many opportunities. As the market is either too volatile or flat, it makes you wonder if it is worth trading in. You could use the classic risk on/off mode to enter trading when the markets allow it. You could also experiment with better technical analysis indicators like harmonics or candles to improve. I am not sure if either will work.

Fibonacci levels may be useful for entry and exit moves. Who know but let me know what you think could work?

I show to use these charts and techniques I demonstrate in this video

Python Algo Trading Infrastructure with Crypto Currency

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Std C++ streaming fast or slow

I heard from the last posting it was slow thanks to a Facebook group comment

http://www.codeproject.com/Articles/1113332/Streaming-with-Cplusplus-is-brilliant

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Fast numerical computing with Python NumPy

Sent over by a member in Facebook groups so thanks to them

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From kdb+ to monetDB open source fast database

After seeing job posts, this article lead me to this database choice:

We’ve created a roundup of the top column-oriented database systems: http://www.timestored.com/time-series-data/column-oriented-databases

This includes kdb+ and some open source alternatives.

We have done some initial work at benchmarking common time-series queries and found open source monetDB to be particularly fast…we will hopefully be able to publish some of those results at a later date.

http://quant.stackexchange.com/questions/3156/is-there-any-thing-out-there-as-a-substitute-for-kdb

So that lead me to MonetDB (same as kdb+ which is an in memory column store)

http://www.timestored.com/time-series-data/column-oriented-databases

http://dev.monetdb.org/hg/MonetDB/graph/

This is also compatible with FreeBSD

vs my fave Redis NOSQL but these are completely different animals

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Is 100% Redis fast than GPU/FPGA cluster for HFT?

I am looking for any expert opinion in this field for potential high frequency trading use the performance of a FPGA vs 100% Redis. All according to something similar to this link:

IBM Accelerates Power8 Clusters With GPUs, FPGAs, And Flash

[11:58:45 AM] Bryan Downing: there is this http://www.enterprisetech.com/2014/10/02/ibm-accelerates-power8-clusters-gpus-fpgas-flash/
[11:58:52 AM] Bryan Downing: the closest i could find
[11:59:02 AM] Bryan Downing: fpga is complicated but redis is easy to setup and maintain
[11:59:18 AM] Bryan Downing: it is free to so i think the performance could be adequate for 100% redis

Question is: could this FPGA/GPU cluster faster if you choose to be 100% Redis? Or at least is there the potential?

Please let me know by getting in touch via my contact form lower right. Thanks

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Fast C++ implementation for order book HFT

This is a decent article on applying the order book in an efficient C++ implementation. The authors does the same with calling Matlab charts as well. I may explore this blog further

Limit Order Book Implementation for Low Latency Trading (in C++)

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