The TRADE 68 - Q2 2021 | Page 78

[ A L G O R I T H M I C T R A D I N G S U R V E Y ]

JP Morgan

JP Morgan offers clients a variety of equity algos , including Aqua for equities , Aqua Blocks for accessing block liquidity and JPM-X , a fully dark continuous crossing platform . In the first half of 2020 , the bank ’ s FX algos saw a 45 % increase in transactions via Execute , JP Morgan ’ s mobile channel . The New York-headquartered investment bank received 35 responses from hedge fund managers in this year ’ s survey , ranking the bank fifth place amongst its peers . Respondents came from Europe , North America and the Asia-Pacific . Nearly half of the participant funds using JP Morgan ’ s algos manage over US $ 10 billion in assets and twothirds of them trade at least half of their portfolios ’ value algorithmically . This year , JP Morgan ’ s average score of 5.72 dropped by 0.05 compared with 2020 and underperforms the survey average by 10 basis points . Compared to category averages , the bank failed to meet the benchmarks in all but execution consulting (+ 0.16 ), algo monitoring capabilities and order routing logic or analysis , both of which score just four basis points above the category averages . The firm received its highest score of 5.99 in dark pool access , whereas price improvement scored lowest at 5.41 . Year-on-year comparisons were mixed , the bank recorded its highest year-on-year growth in increase trader productivity (+ 0.44 ) and execution consulting (+ 0.35 ), yet recorded declines across eight categories , including customer support ( -0.56 ), price improvement ( -0.37 ), and cost ( -0.35 ). Despite this , scores across all categories remain in the Good range ( 5.00 – 5.99 ). When asked what additional features are wanted , hedge fund clients commented that they are in need of a better automated feedback loop for TCA , more advice regarding habits or approaches to certain types of execution , global cash market access in lit and dark markets and the ability to trade single-name swaps in global markets . In addition , features such as smart / auto auction engagement are highly desired .

JP MORGAN RATINGS FOR ALGORITHMIC PERFORMANCE
Increase trader productivity
Reduce market impact
Execution consistency
Cost Speed Anonymity
Price improvement
Customisation
Ease of use
5.97 5.46 5.57 5.62 5.82 5.78 5.41 5.64 5.98
Order routing logic / analysis
Customer support
Execution consulting
Dark pool access
Flexibility / sophistication of SOR
Algo monitoring
Average score
5.80 5.65 5.76 5.99 5.62 5.74 5.72
KEY STATS Category Outperformer : X3

5.99 Highest score

( dark pool access )

5.41

Lowest score ( price improvement )

0.44

Most improved ( increase trader productivity )

-0.56

Least improved ( customer support )
78 // TheTRADE // Summer 2021