Deploy your first strategy within
seconds
How to Deploy an Algorithmic
Trading Strategy without
code?
Deploy your first strategy
within seconds
When I first started trading,
I was literally
incapable
of even experimenting with
algorithmic trading…
Algorithmic trading is a
paradigm of utilizing computer
algorithms to help automate
your trading decisions.
The reason why I was
incapable of experimenting
with algorithmic trading is
simple…
I didn’t know how to
code.
Photo by Desola Lanre-Ologun on
Unsplash
Back in the day, even 5 years
ago, if you wanted to utilize
algorithms to automate your
trading decisions, you
needed to know how to code, at least to some
extent. There were quite
literally 0 tools that I could
find that could help me
develop trading
algorithms.
Eventually, after I gained
some programming experience in
Python and Java, I had
discovered new platforms like
Pluto.fi
and
Composor.trade.
But when I first started
trading and even before I
learned how to code, being a
great software developer and
data scientist was a
necessity.
Today, that is no longer the
case.
I’m going to show two easy
ways to create a highly
configurable automated trading
strategy within seconds. You
can backtest the strategy,
update the parameters, and
deploy it live for real-time
paper-trading.
It literally takes 3 clicks
to get started, and the best part is, you
don’t need to have
any
programming experience
whatsoever!
Option 1 (no effort) –
Copying an Existing
Strategy
First, you need to open
NexusTrade and go to the
strategy library.
Pre-configured active trading
strategies
The library allows you to
take pre-configured
strategies, backtest them, and
save them directly to your
account.
An active Apple Trading
Strategy
This page has a lot of
helpful information that may
be difficult to digest at
first glance. The first thing
you’ll notice is a chart. The
chart shows the strategy’s
performance across the past 5
years. The green line (or red)
line is the strategy’s
performance, and the grey line
is the performance of the
baseline (SPY). To the right
side, we have what the current
simulated positions and some
key portfolio statistics. Some
of these include
-
Percent change: How much
the portfolio gained over
the period
-
Sharpe ratio: A measure of
returns adjusted by how
volatile (or risky) the
portfolio is
-
Maximum drawdown: What is
the greatest loss the
portfolio experienced from
peak to trough
After you find a strategy
that you like, you can save it
to your profile, and click
“Launch to Market”.
The Portfolio Dashboard with
the “Launch to Market”
button
Then, voilá! You’ve just
deployed an algorithmic
trading strategy in exactly 3
clicks! 🥳 Maybe 4, but you
get the idea.
Option 2 (little
effort) — Create Your
Own
The library is a way for new
users to get inspired and get
started with algorithmic
trading. However, it alone
will not make you a successful
algorithmic trader.
Algorithmic traders are
capable of developing their
own strategies by utilizing
theories or hypothesis
testing, and seeing how well
those theories hold up over
time.
NexusTrade offers two ways a
trader can create their own
strategy. They can use the
traditional no-code UI, which
has the maximum amount of
configurability and can
express the most complicated
rules you can possibly
imagine.
The no-code NexusTrade UI
Or, users can create a
strategy using Aurora, the
AI-Powered Financial
Assistant. Aurora is capable
of reading plain English
statements and generating
NexusTrade trading
strategies.
Using Aurora to create an
algorithmic trading
strategy
Before creating a strategy
from scratch, it’s important
to fully understand how it
actually works. You can do
that by reading some articles
(like this one), playing
around with NexusTrade, or
even talking to Aurora and
asking her questions.
Talking with Aurora. She often
gives suggested responses for
the user
The most common error people
run into with NexusTrade is
not fully understanding the
tools that it offers. A
strategy in NexusTrade is
evaluated as a complex syntax
tree, that translate into the
rules you and I would actually
use for trading.
For a detailed guide for
how it works, check out this
article.
Getting Inspired
I can (and will) create an
entire article on how to
generate novel ideas and
create your own unique
algorithmic trading strategy.
In the meantime, you can get
inspiration based on what I’ve
already written.
I have a plethora of
resources available on social
media. For example, you can
read my other blogs on
Medium
or
Aurora’s Insights
to see the capabilities that
NexusTrade has to offer.
Algorithmic trading used to
be extremely hard. You needed
to be a data scientist, a
software engineer, and a
financial expert. You had to
build entire software systems
from scratch, and it was
extremely difficult.
But now, we have tools that
makes this objectively a lot
easier. A trader no longer
needs to know linear algebra
and Dijkstra’s algorithm –
they can focus on financials,
technical analysis, hypothesis
testing, and bringing their
ideas to life in the
market.