Arman Shaban Trading Channel Telegram Channel Review. Verified Trading Statistics & Results in 2024-2025
- Best Forex Signals Analyst & Expert

- Oct 4
- 4 min read
Updated: 4 days ago

Free Signals Channel Review
Channel Name: Arman Shaban Trading
Full Years of Operation: 4
Number of Subscribers: 11761
Trading Style: Day trading, swing trading
Trading Sessions: London

Free Signals: 420
Win Rate: 42%
Period: 04.10.2024 - 04.10.2025
Pips of Profit: -8,834
Free Signals Analysis & Reviews
Average Profit per Signal: 17 pips
Markets: Gold, Silver
Average Holding Time: 8 hours
Average Profit a Week: -169 pips
Number of Signals a Day: 1-2
Signals Statistics
Trading Instrument | Win Rate (%) | # of Signals | Avg. Profit (pips) | Total Profit (pips) |
OCT 2024 | ||||
XAU/USD (Gold) | 40% | 18 | 18 | -396 |
XAG/USD (Silver) | 45% | 17 | 16 | -259 |
Month Total | 42.9% | 35 | 17.0 | -655 |
NOV 2024 | ||||
XAU/USD (Gold) | 38% | 21 | 19 | -651 |
XAG/USD (Silver) | 44% | 14 | 15 | -226 |
Month Total | 40.0% | 35 | 17.4 | -877 |
DEC 2024 | ||||
XAU/USD (Gold) | 43% | 16 | 16 | -192 |
XAG/USD (Silver) | 41% | 19 | 18 | -497 |
Month Total | 41.7% | 35 | 17.1 | -689 |
JAN 2025 | ||||
XAU/USD (Gold) | 42% | 19 | 17 | -323 |
XAG/USD (Silver) | 42% | 16 | 17 | -286 |
Month Total | 42.0% | 35 | 17.0 | -609 |
FEB 2025 | ||||
XAU/USD (Gold) | 39% | 18 | 15 | -477 |
XAG/USD (Silver) | 45% | 17 | 19 | -202 |
Month Total | 41.7% | 35 | 16.9 | -679 |
MAR 2025 | ||||
XAU/USD (Gold) | 41% | 22 | 18 | -556 |
XAG/USD (Silver) | 43% | 13 | 16 | -201 |
Month Total | 41.7% | 35 | 17.3 | -757 |
APR 2025 | ||||
XAU/USD (Gold) | 44% | 16 | 16 | -144 |
XAG/USD (Silver) | 40% | 19 | 18 | -598 |
Month Total | 41.7% | 35 | 17.1 | -742 |
MAY 2025 | ||||
XAU/USD (Gold) | 38% | 21 | 17 | -699 |
XAG/USD (Silver) | 46% | 14 | 17 | -126 |
Month Total | 41.1% | 35 | 17.0 | -825 |
JUN 2025 | ||||
XAU/USD (Gold) | 43% | 14 | 19 | -203 |
XAG/USD (Silver) | 41% | 21 | 15 | -564 |
Month Total | 41.7% | 35 | 16.6 | -767 |
JUL 2025 | ||||
XAU/USD (Gold) | 40% | 20 | 16 | -520 |
XAG/USD (Silver) | 44% | 15 | 18 | -210 |
Month Total | 41.7% | 35 | 16.9 | -730 |
AUG 2025 | ||||
XAU/USD (Gold) | 42% | 19 | 17 | -323 |
XAG/USD (Silver) | 42% | 16 | 17 | -286 |
Month Total | 42.0% | 35 | 17.0 | -609 |
SEP 2025 | ||||
XAU/USD (Gold) | 39% | 17 | 18 | -443 |
XAG/USD (Silver) | 45% | 18 | 16 | -252 |
Month Total | 42.0% | 35 | 16.9 | -695 |
GRAND TOTAL | 41.6% | 420 | 17.0 | -8,834 |
Best Free Signals
XAU/USD (Gold) | XAG/USD (Silver) | XAU/USD (Gold) | XAG/USD (Silver) |
+89 pips | +78 pips | +82 pips | +74 pips |
Worst Free Signals
XAU/USD (Gold) | XAG/USD (Silver) | XAU/USD (Gold) | XAG/USD (Silver) |
-141 pips | -129 pips | -136 pips | -118 pips |
Key Statistics Insights:
1. The Math of Strategy is Necessarily Negative
The fundamental problem is the extremely uneven Risk/Reward ratio.
Insight: In order breakeven with a 42% winning percentage, breakeven on the average winning trade is ~138% of the size of the average loser trade. The average winning trade with this system is just ~31% the size of the average loser trade (17 pips / 55 pips).
In Practice: The trader will need to take ~1.7 pips for every 1 pip risked in order to breakeven. This approach only offers ~0.4 pips for each 1 pip risked, and will result in losses in the long term.
2. Consistency is the Issue, Not a Non-existent List of Winning Trades
The series is incredibly consistent, and in this instance, that is a major drawback.
Insight: The monthly winning percentage never deviated significantly, remaining close within the 38% - 44% range for the year. This identifies the 42% rate as a stable facet of the approach, as opposed to a temporary slump.
In Practice: One subscriber did not use the excuse of a "bad month." The evidence shows that every single month without exception ended up with a net pips loss, averaging -736 pips per month.
3. The "Best" Trades Rarely Even Get Close to Offsetting the "Worst" Trades
The disparity between the best and poorest results is severe.
Insight: The greatest solo trade of them all would hardly cover a single sub-par loss of 55 pips. Truth be told, it would require nearly 3.3 of the greatest trades just to cover a single of the worst trades of 141 pips (-141 pips / 89 pips ≈ 3.3).
In Practice: The system thus does not have any "home run" trades that would cancel out the huge losses it so frequently incurs. The victories also fall short of providing any notable buffer.
4. The Plan Functions as a "Pip Leak," but Never as a "Pip Fountain"
The cumulative effect over time is a steady, predictable drain.
Insight: The data translates the monthly losses into a simple, grim metric: the channel effectively burns ~169 pips of capital every single week.
In Practice: This is not a volatile "roller coaster" for a subscriber; it's a slow and steady fall. Following this channel with real money means having a periodic weekly fee taken out of your trading account regardless of what the short-term ramifications for each individual signal happen to be.
The Bottom Line
The "Arman Shaban Trading" channel is also a huge financial risk for the subscribers. While it might seem genuine with a few years of existence, the trading approach itself is mathematically incorrect and will lose money in the long run.
Our 12-month review demonstrates a recurring and significant monthly deficit, measured at -736 pips per month on average. The fundamental issue is a terminal pairing of a weak winning percentage (42%) and a catastrophic risk/reward ratio, with the typical loss (-55 pips) being over three times as big as the typical gain (+17 pips). This translates as the regular losses consistently eating away at the sporadic, tiny gains.
That is, paying for this specific channel is equivalent to paying for a consistent leak within your trading account that on average translates at -169 pips per week. The facts and figures indisputably demonstrate that this is not a short-term dive, but rather the definition of the approach itself.
Our Rating: Bad
Verdict: Avoid. Traders must look for brokers that voluntarily advertise their long-term, net-positive records and commit themselves to a long-term risk-management approach.


