RISK

Trading carries substantial risk of loss. Prop evaluation fees are typically non-refundable and the majority of traders do not pass first attempts. This comparison is for informational purposes only and does not constitute financial advice. Read full risk warning

HEAD-TO-HEAD COMPARISON · 2026

Matrix Executions vs XLtrade

Side-by-side comparison of trust scores, profit splits, payout speed, and real trader reviews. Independent data — no sponsored rankings.

MTRX

Matrix Executions

EST. 2018

XLTD

XLtrade

MATRIX EXECUTIONS

METRIC

XLTRADE

0/100TIE

TRUST SCORE

TIE0/100

0/5TIE

RATING

TIE0/5

—

PROFIT SPLIT

—

MAX FUNDING

—

MIN COST

—

PAYOUT DAYS

—

PASS RATE

—

0TIE

REVIEW COUNT

TIE0

MATRIX EXECUTIONS DETAILS

STEPS: -phase

XLTRADE DETAILS

STEPS: -phase

Matrix Executions PROS

+Founded in 2018, Matrix Executions has a longer operating history than most prop firms, suggesting stability.
+No additional data is available to identify further above-average metrics for Matrix Executions.
+No additional data is available to identify further above-average metrics for Matrix Executions.
+No additional data is available to identify further above-average metrics for Matrix Executions.

Matrix Executions CONS

−Almost no firm data is provided beyond founding year, making meaningful comparison to industry averages impossible.
−Without profit split, funding, or challenge cost data, traders cannot evaluate value against industry benchmarks.
−Lack of transparency on payout, drawdown, and trading rules limits trader decision-making confidence significantly.

XLtrade PROS

+No data is available to identify any above-average metrics for XLtrade
+Placeholder pro due to insufficient data — see cons for context
+Placeholder pro due to insufficient data — see cons for context
+Placeholder pro due to insufficient data — see cons for context

XLtrade CONS

−No firm data was provided, making any meaningful comparison impossible
−Without metrics, traders cannot evaluate this firm against industry averages
−Lack of data is itself a red flag for transparency and due diligence

PROPDNA VERDICT