results

Elgont offers advanced trading strategies, based on algorithms that have undergone three years of in-depth retrospective testing and more than 11 months of actual activity in the financial markets. The results demonstrate a sequence of consistent profitability, while avoiding monthly losses, which guarantees our clients peace of mind and security in their long-term investments.
YEAR
Jan
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
DEC
2024
5.58
4.58
4.05
4.54
0.19
-6.71
2.12
-5.05
5.01
13.2
2.1
N/A
2023
-3.76
6.10
8.95
7.12
8.40
9.80
6.24
5.18
-3.89
-4.84
5.84
5.21
2022
9.50
-9.30
13.16
6.76
7.76
11.69
11.17
16.08
11.3
12.00
5.45
3.54
2021
4.14
5.42
5.62
-2.46
6.47
6.70
5.08
5.89
10.84
2.89
5.50
8.99

Projected Trading Performance

Outlined below are the results from our simulated trading scenarios. These simulations employ real-time market data, providing a highly accurate representation of potential performance
YEAR
Jan
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
DEC
2020
7.50
6.10
5.20
4.80
-4.00
5.00
4.20
4.70
6.00
5.10
4.00
5.60
2019
4.80
5.30
-3.80
4.20
6.40
5.80
-2.20
5.70
4.90
5.10
-5.60
6.20
2018
3.50
2.80
3.70
2.80
-4.40
4.10
5.10
4.50
6.50
2.40
3.20
5.40
2017
2.90
3.90
2.90
-2.10
3.40
4.50
4.00
3.90
5.10
3.20
3.70
4.40
2016
2.10
2.80
3.50
1.80
-5.40
3.20
3.00
2.40
3.70
3.30
2.80
3.50
2015
1.90
2.30
2.60
2.00
1.80
2.20
-1.90
3.10
2.50
2.30
2.70
2.90

FAQ

What does the "Yearly Total" represent?

The "Yearly Total" is the percentage return achieved by our algorithm for the entire year. It reflects the overall performance of the algorithm across both winning and losing months.

Why do the returns vary so much between years?

The variation in yearly returns reflects market conditions, economic factors, and changes in trading strategies. Some years offer more opportunities for high returns, while others require more conservative approaches.

What is the significance of the "Average Winning Month Win"?

This figure shows the average percentage return during months when the algorithm generated positive returns, providing insight into the potential gains during profitable months.

What does the "Average Loss During Losing Months" mean?

This shows the average percentage loss during months where the algorithm recorded a negative return. It indicates the level of risk and potential downturns during poor market conditions.

How is the "Chances of a Winning Month" determined?

This metric calculates the percentage of months that resulted in a positive return. It gives an indication of how frequently the algorithm is successful in generating gains.

How do you calculate risk management in the algorithm?

Our algorithm is designed with built-in risk management strategies to limit losses during unfavorable conditions while maximizing returns during profitable periods. This is why you see both winning and losing months.

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