Why Institutions Use
Algorithmic Trading?

In the early 2000s, algo trading consisted of just roughly 15% of market volume in the U.S. stock market. However, algo trading is now used in most large institutional firms and 80% of the daily moves in U.S. stocks are machine-led. Machines are causing sharp drops and rallies based on immediate data releases. Long-term investors may stand a better chance as algos are focused more on extreme short term (microseconds or minutes).

Why AI Autotrade™?

AI Autotrade™ invested in multi year research and development to solve the market challenges of traditional human and quantitative trading. Autonomous trading must solve same challenges as autonomous driving, both need to make critical decision in real time, combining deep awareness of environment, enormous data flow and complex learning.

In AI Autotrade™ we are building Waymo of capital markets, fully autonomous trading machines. It combines deep researched price action technical analysis with next generation deep reasoning AI models using Graphs inspired by Causal AI.

The World Is Changing,
So Are Traders

Discover the current adoption of Algorithmic trading

and the next generation of machine learning

54

Title

54%

Increased Electronic Trading

According to Coherent Market Insights, global algo trading market was valued at US$ 9,297.24 million in 2017 and is projected to exhibit CAGR of 10.1% over the forecast period of 2018 – 2026.

23

Title

23%

Increased Algorithmic Trading

80% of banks already use algo trading.

15

Title

15%

Increased Revenue

Electronic trades account for almost 45% of revenues in cash equities trading.

8

Title

8%

Increased Voice Trading

A study in 2019 showed that around 92% of trading in the Forex market was performed by trading algorithms rather than human trading.

8

Title

8%

Expected No Changes

According to Coherent Market Insights, global algo trading market was valued at US$ 9,297.24 million in 2017 and is projected to exhibit CAGR of 10.1% over the forecast period of 2018 – 2026.

18% of respondents reported that their execution style will continue to change going forward, and 100% of these respondents reported a predicted increase in electronic trading.

When Asked About Artificial Intelligence And Machine Learning, Traders Agreed That They:

Deep Data Analytics

72%

Optimize Trade Execution

54%

Hone Trading Decisions

49%

15% More..

When asked “What percentage of your FX trading/will be done via algorithmic order?”, traders predict that an additional 15% of their FX trading will be done via FX algos over the next two years. This ongoing increase is reflected in our own client FX volumes  which are up 46% YoY*.

*Total J.P Morgan Client Algo Volume traded Jan – Dec 2019 vs. Jan – Dec 2020