If you are looking at for free video set to learn programming with Python from zero knowledge, you may be interested in this 13+ hour video. Crazy I know but it is free Check it out. Here is the description of this video
This Python 3 tutorial course aims to teach everyone the basics of programming computers using Python. The course has no pre-requisites and avoids all but the simplest mathematics.
This video is from 2014 but I am sure it is still relevant.
you have not been reading these emails, I have done revamped the store
to my old reactivated Shopify store. I am sure you are not interested in
the benefits, so I will just post the the highlighted links:
Interative Brokers 4.5 hour Workshop Bootcamp
Python Algo Trading Infrastructure with Crypto Currency
We are coming down to the wire. I will be reducing this ELITE trading membership from 3 year to 2 year. It will end on Monday Nov 11 as the last day! Benefits include:
Lifetime access to the private/anonymous chat server
A potentially winning bot for crypto exchange Binance. I plan to duplicate the same trading rules in Binance US markets which is fiat. This is testing with live money which will reported on CoinTracking.info for credibility.
Moving into Emini Micros which is a poor man’s gateway to the futures market on the regulated CME. No more unregulated FX retail bucket shop brokers!
There are many courses in this membership as described in the video to help you launch your success to the world of automated trading to secure your future!
This was NOT mentioned in the video for non programmers. This will include access to the Quant Analytics and live signals for bot trading!
There are so many benefits when you watch this video.
If you are interested, click the link below.
Time is definitely running out. 24 hours left before the lowest price you will! e.g. $333 x 3.
If you are an old school trader using a tool like Excel for analysis, you may be forced to use Python. Here are some topics that this career article will highlight:
Interested in this topic? Get some free books while you are it
If you are an old school trader using a tool like Excel for analysis, you may be forced to use Python.
“Python already replaced Excel,” said Matthew
Hampson, deputy chief digital officer at Nomura, speaking at last Friday’s
Quant Conference in London. “You can already walk across the trading floor
and see people writing Python code…it will become much more common in the
next three to four years.”…
As we reported previously, Hampson runs Nomura’s new and
growing e-trading strategy team, which was formed in May 2019. The team is
tasked with increasing Nomura’s fixed income trading revenues by 15% through
the integration of artificial intelligence into the bank’s systematic market
Hampson’s comments come amid suggestions that Excel is in
danger of dying out as sheets can be imported into Python where the computation
is much quicker….
“I can run an Excel model with a several hundred
interlocking formulas and a data table that has 50,000 rows and 100 columns and
it takes 15 min to update,” said one contributor to Wall Street Oasis last
month. “Or, I can run a Python based model with thousands of interlocking
corelation points and an underlying data structure that has 10,000,000 rows and
1,000 data attributes. Not to mention I can write scripts to infer missing data
points. All of this can be done in about a second.”…
Future traders will have hybrid skills covering finance,
quantitative knowledge and the ability to automate processes and extract data,
said Hampson. Today’s top traders already have, “much more universal
skillsets – they understand data, they understand finance, they understand how
to code. That brings an agility that you didn’t see until about five years
PMorgan is arming members of Hans Buehler’s 180-strong
‘Analytics, Automation & Optimization’ team with trading licenses as the
quants break into trading. ..
I speak about the multiple factors that will hinder your potential REAL lie profit when you go live with any forex or crypto asset class broker/exchange. Back testing will not help you here when you need to factor items like slippage or momentum of an instrument. There may be accusations if the broker/exchange can cheat you out. In essence, no matter what you trade it could be a struggle or even waste of time. This is why I am thinking USA future/options is better asset class since it is heavily regulated. On the strategy bot side, your win loss ratio will be the king to overcome all this stuff.
This conversation was on my Facebook including speculation of machine learning If you are interested in this type of topic, get some free books
Hey I didnt get a notification when it was time to start
So I missed it completely
are there any recorded videos
going up now
Are you putting up on the site or your fb
and just posted
11/20/18, 9:31 PM
Hi Bryan, I’m having an issue understanding how to generate
alphas and backtesting strategy do you have anything you recommend to watch or
seems quite a ague question. can you be more specific
11/21/18, 10:52 AM
how do I perform research like actual quant research to find
alphas in the market
tool! ? Python is beat
great I am currently using python with quantopian
Im just looking for some direction regarding the research
your questions on their forum. You may get specific answers to specific
sounds like an idea thanks
is what I’m here for
Thu 7:19 PM
Hey Brian hope you are doing well
What do you use to backrest your code
If you use python do you mind sharing it
Btw I love the page
I mean backtest as in put ur code through market like
conditions to test a strategy
find backtesting is a real waste since it will not factor in the actual fees
you pay out
just went through this in the last 24 hours
show 60% win ratio but wstill loses a tonne in live markets
Interesting so how do you test your strategy
I used to quantopiam but they don’t have a platform for
live in the market with minimal amount per trade to reduce loses when it don’t
work as well as you think
wonder why they got of live trading
many people probably lost from their backtesting to live….then they blame
quantopian most likely when things don’t work out
offense, back testhing they way you think is a total waste. i wasted about a
week b/c of this. also, get a decent journaling software service to track your
live trades. i use cointracking.info for my live tiny test trades live in the
market. this is for crypto
I figured I could just do a for loop to run thru a dataset
and pick n choose entry n exit points but I was wondering how to compensate for
the lack of minute data
U might be right about just trying different algos by
minimizing the risk to test multiple strategies
I guess that puts most machine learning algos in the trash
model might flop in live market data.
cannot say about machine learning models
Hey thank you for taking the time to walk me through this