Follower Accounts Allegedly Closed at a Loss While Master Account Profited
A Tickmill user is alleging that differences between a master account and two copied accounts caused a $421.51 loss, raising a more specific execution question than a typical complaint about poor trading performance.
The complaint was posted on WikiFX by a reviewer identified as Pankaj Peshwani. WikiFX currently timestamps the underlying post Sept. 9 and labels the submission unverified, meaning the reviewer has not proved to WikiFX that they are a Tickmill trader.
According to the customer, the same trades were copied from a master account into two separate follower, or “slave,” accounts using Tickmill’s copy-trading service. The trader claims positions on the follower accounts were closed at a loss while the corresponding trades on the master account closed profitably, producing an alleged combined loss of $421.51.
The customer also said the master account used the same Raw account type and alleged that Tickmill had not responded to an email sent eight days earlier.
Those assertions have not been independently verified through account statements, order IDs, server logs or correspondence with Tickmill. The complaint does not publicly provide the instruments involved, master and follower execution prices, timestamps, lot sizes or market conditions at the time of the disputed closes.
Those details are critical because Tickmill’s own Social Trading disclosures explicitly warn that copied trades do not necessarily receive the same execution as the strategy provider.
Tickmill says that during periods of high market volatility, follower accounts may experience larger positive or negative slippage. It also states that orders may be executed at different prices from those received by the signal provider.
That disclosure means a profitable master trade and an unprofitable copied trade are technically possible without demonstrating that the copying system malfunctioned.
The issue is whether the size and timing of the alleged divergence can be explained by normal market execution.
Tickmill describes Social Trading as an integrated service in which a Strategy Provider acts as the source account and Followers automatically copy its trades. Once accounts are connected and the subscription is active, copying takes place automatically.
Its user manual also says Social Trading can connect accounts from different servers and account types, while Followers can configure copying strategies and risk-management settings. Those variables can potentially affect the resulting positions.
The customer’s statement that all accounts used the same Raw structure therefore removes one obvious explanation for different pricing conditions, but it does not guarantee identical executions.
Tickmill’s Raw account uses variable spreads, which the broker says can change with underlying liquidity and market volatility. The account currently advertises spreads from 0.0 pips and a $3-per-lot-per-side commission.
Execution differences are particularly important in fast-moving markets because even a short delay between the master order and copied order can alter the available bid or ask. A sufficiently small profit in the master account could theoretically become a loss in the follower account after spread changes or adverse slippage.
That is why the complaint is more comparable to disputes over historical execution data than to a generic allegation that a broker caused a trading loss. The decisive evidence is the timestamp-level record showing how each trade was handled.
Similar questions about trade-level explanations have emerged in other broker disputes, where the underlying account records matter far more than the customer’s description of the final financial loss.
Tickmill’s disclosure also distinguishes this case from recent copy-trading complaints involving proprietary trading firms. Those disputes largely concern whether traders copied one another and consequently breached platform rules. Here, the customer says copy trading was intentionally being performed through a service provided by the broker itself.
The complaint therefore centers on execution rather than whether copying was permitted.
There is currently no public Tickmill response attached to the WikiFX complaint establishing what happened in the individual accounts.
There is also no evidence from the single complaint that Tickmill has a wider problem with its Social Trading system.
The strongest next step would be to obtain the master and follower account statements containing the disputed order IDs and compare the opening and closing timestamps, requested prices, actual execution prices, spreads and lot sizes. Tickmill could then be asked whether each difference falls within the behavior its Social Trading disclosure describes.
A $421 Difference Could Be Normal Slippage or a Copying Problem — The Logs Would Show Which
This complaint is interesting because both sides of the possible explanation are plausible.
Copy trading is not the same thing as duplicating a historical trade.
The master account executes first. That information then has to trigger corresponding orders on follower accounts. Even if that process happens extremely quickly, markets can move during the interval.
If the master closes a position with a narrow profit and the follower receives a worse bid or ask, the copy can close with a smaller gain or even a loss.
That becomes much easier to understand during volatile conditions, which is exactly why Tickmill warns followers that negative slippage and different execution prices can occur.
But a disclosure that differences are possible should not make every difference automatically acceptable.
The scale matters.
If the customer’s $421.51 loss resulted from a few tenths of a pip across large positions during a violent market move, the discrepancy might be entirely consistent with ordinary execution. If the follower accounts instead closed seconds later at prices far outside the contemporaneous market while the master received normal fills, that would raise a very different question.
This is where volatile news-event trading provides a useful comparison. Fast markets can create execution behavior that looks alarming after the fact without necessarily proving broker misconduct. What matters is whether the execution can be reconstructed against actual market conditions.
The fact that the customer says the accounts shared the same Raw account type is useful, but not decisive.
Same account type does not mean same order.
The positions can reach the execution engine at different times. Available liquidity can change. Spread can move. A follower’s risk settings or proportional trade size can differ. Even account equity and margin conditions may affect how copied positions behave.
That is why the two follower accounts are potentially the most valuable evidence in this case.
If both received nearly identical bad fills while the master received a much better price, that pattern deserves explanation. If each account shows slightly different executions consistent with market movement, the complaint becomes much easier to reconcile with Tickmill’s published warning.
The same evidence-first approach matters in larger copy-trading disputes, where screenshots or conclusions are much less useful than the underlying transaction history.
Customer support is the other part worth watching.
Even when a broker has a valid technical explanation, silence can turn an ordinary execution dispute into a reputational problem. Other recent broker cases involving customers waiting for detailed responses show how quickly public complaints escalate when traders receive little information about what is happening to their accounts.
For Tickmill, a useful response would be relatively straightforward: identify the disputed orders, provide the master and follower execution times and prices, and explain whether the differences resulted from spread, slippage, copying latency or another documented factor.
Until that evidence is available, calling the $421.51 loss proof of faulty execution would go too far.
But dismissing it simply because Tickmill warns that follower prices can differ would also miss the point.
The real question is measurable: were the follower-account fills consistent with the market at the moments those copied orders reached execution?
The order logs should be able to answer it.
Shane Neagle is a financial markets analyst and digital assets journalist specializing in cryptocurrencies, memecoins, prediction markets, and blockchain-based financial systems. His work focuses on market structure, incentive design, liquidity dynamics, and how speculative behavior emerges across decentralized platforms.
He closely covers emerging crypto narratives, including memecoin ecosystems, on-chain activity, and the role of prediction markets in pricing political, economic, and technological outcomes. His analysis examines how capital flows, trader psychology, and platform design interact to create rapid market cycles across Web3 environments.
Alongside digital assets, Shane follows broader fintech and online trading developments, particularly where traditional financial infrastructure intersects with blockchain technology. His research-driven approach emphasizes understanding why markets behave the way they do, rather than short-term price movements, helping readers navigate fast-evolving crypto and speculative markets with clearer context.