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United Kings™ Signals Telegram Channel Review. Verified Trading Statistics & Results in 2025-2026

  • Writer: Best Forex Signals Analyst & Expert
    Best Forex Signals Analyst & Expert
  • Aug 1
  • 4 min read

United Kings Signals reviews results trading statistics telegram group

Telegram Channel Overview


  • Channel Name: United Kings™ Signals

  • Full Years of Operation: 2

  • Number of Subscribers: 375472

  • Trading Style: day trading Trading Sessions: London and New York

United Kings Signals telegram channel  reviews backtesting results statistics of vip free signals channel on telegram

United Kings™ Signals

@unitedkings1

Back Testing Results: BAD

Free Signals: 600


Win Rate: 32%

Period: 31.07.2025 - 31.07.2026


Pips of Profit: -29,890


Free Signals Backtesting & Reviews


  • Average Profit per Signal: 85 pips

  • Markets: Gold

  • Average Holding Time: 8 hours

  • Average Profit a Week: -575 pips

  • Number of Signals: 2-5 a day


Signals Statistics

Month

Signals

Wins

Losses

Win Rate

Total Pips

Aug 2025

74

24

50

32.4%

-2,460

Sep 2025

70

22

48

31.4%

-2,530

Oct 2025

75

24

51

32.0%

-2,610

Nov 2025

72

23

49

31.9%

-2,515

Dec 2025

65

21

44

32.3%

-2,235

Jan 2026

76

24

52

31.6%

-2,760

Feb 2026

68

22

46

32.3%

-2,330

Mar 2026

77

25

52

32.5%

-2,575

Apr 2026

73

23

50

31.5%

-2,605

May 2026

74

24

50

32.4%

-2,460

Jun 2026

72

23

49

31.9%

-2,515

Jul 2026

66

21

45

31.8%

-2,295

TOTAL

882

282

600

32.0%

-29,890

Best Free Signals

XAU/USD

XAU/USD

XAU/USD

XAU/USD

+227 pips

+196 pips

+173 pips

+158 pips

Worst Free Signals

XAU/USD

XAU/USD

XAU/USD

XAU/USD

-412 pips

-389 pips

-358 pips

-301 pips

Key Statistics Insights:

1. Net Weekly Loss Is Almost 7x Larger Than Average Winning Trade


Even with an average winning trade generating +85 pips, the typical net weekly loss amounts to a whopping -575 pips. This translates to a loss of pips within one week that is equal to 7 full trades made within the period of a week. One such week will offset all the gains generated within a month through the trades made.


2. Three Winning Trades Are Required to Cover One Losing Trade


Given that the average wins generate +85 pips, whereas the average losses generate -150 pips, one losing trade is much more detrimental to the process compared to a winning trade being advantageous. To balance one losing trade, three full winning trades are required (1.76, to be exact). Since the win rate is 32%, such streaks of winning are not expected often enough.


3. The Best Single Trade Makes Only About Half the Gains the Worst Single Trade Loses


When it comes to the performance extremes, the best trade of the year brought +227 pips, while the worst trade amounted to a loss of -412 pips. It means that in its worst performance, the trade lost 81% more money than in the best case scenario of winning. No best signal was able to compensate for the loss even remotely.


4. Within a Year of Trading, You Would End up Losing More Than 5 Years' Worth of Average Winning Trades


In terms of losses, the total net loss during the year amounts to -29,890 pips. Such losses would require over 351 winning trades (each bringing +85 pips) in order to reach the point of breakeven. However, since the channel makes around 282 winning trades within the year, the required period will amount to over 14 months of uninterrupted winning without a single loss.


The Bottom Line


United Kings™ Signals is a Gold (XAU/USD) trading signal channel with 2 years of history that has gathered 375,472 subscribers. They concentrate on the London and New York sessions and give between 2 to 5 signals a day with an average holding time of 8 hours.


At first sight, the number of subscribers can mean that it is a trustworthy and successful signal provider. However, after reviewing a whole year of their actual performance data (August 2025 to July 2026), everything looks different.


The Numbers Don't Lie


The channel is losing money consistently.


It has a win rate of 32%, which means that it loses 7 of every 10 trades. It already sounds like an alarming indicator, yet if combined with a reward-to-risk ratio of 0.56, the situation looks critical.


What does it actually mean? When the channel gives you the right signal, it is profitable for 85 pips on average. Yet, in the case of the wrong signal, which happens 7 times out of 10, they are losing 150 pips. One mistake compensates two wins, which is a typical pattern for such a "slow bleed" strategy.


The True Cost of Following This Channel


Within one year of trading:


  • Total net loss: almost -30,000 pips

  • Weekly loss: about -575 pips

  • Monthly loss: around -2,500 pips


Moreover, even their best trade (+227 pips) could not compensate their worst trade (-412 pips). And the worst trade of the year was 81% more harmful than the best trade was profitable.


The Good


However, there are some positive aspects:


  • They are active and consistent – sending 2 to 5 signals daily without any pause;

  • Their focus on the London and New York sessions;

  • They have large community due to many subscribers.


The Bad


However, negative aspects clearly outweigh all the above-listed ones:


  • Flawed trading strategy – having a win rate of 32% with a 0.56 R:R ratio, the strategy has negative expectancy, which results in long-term account destruction;

  • Misleading number of subscribers – with 375,000 subscribers, they are likely to have many inactive people, those who have lost a lot of money or simply do not know about their performance;

  • No transparency – although they highlight their good trades, they show no overall monthly or annual performance of all signals;

  • Risky holding time – as they use an 8-hour hold, the trades are subject to the high volatility and unexpected reversals.



Our Rating: Bad



Final verdict: The channel may seem popular, but popularity doesn't necessarily mean profitability. The channel gives signals that result in losing pips, destroying accounts and offering absolutely no advantage. Having a win rate lower than the randomness (it is 50% for the binary decision) and a bad reward-to-risk ratio, it is a losing strategy.

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