Chimelem Akani

My 2024/2025 Trading Portfolio myfxbook.com/members/Tradin…

@breakoutprop This isn’t all true, the idea of prop firms has always been to reward genuine traders, now most prop firms just gamify the system to punish traders as much as possible.

Every "prop firms are a scam" post is just someone who treated a funded account like a slot machine and got the slot machine outcome. Trade it like live capital and respect your process, it's a cheat code for getting real size behind you. What you put in = what you get out.

@Propfirmedge @atlasfunded @CianHansardAF I am also suspicious of the fact that these people create fake payout receipts, I visited their discord channel, and checked on one of the crypto addresses they claimed they made a payout to, and it doesn’t exist.

🚨@atlasfunded & @CianHansardAF need to answer traders, not attack review pages. Instead of addressing the growing list of trader complaints, payout disputes, and negative reviews, @CianHansardAF is busy blaming review pages for highlighting publicly available information. Let’s be clear: Nobody needs attention from a bottom tier firm whose reputation is already collapsing. Review pages don’t create complaints out of thin air. Traders leave reviews because they have issues that remain unresolved. If nearly 40% of your Trustpilot reviews are 1-star, maybe the problem isn’t review pages. Maybe the problem is the experience traders are having. The worst excuse possible is claiming that every critic, reviewer, or page discussing complaints is “paid.” That’s not an explanation. It’s a deflection. Atlas Funded seems comfortable rejecting payouts, banning criticism, and questioning anyone who asks tough questions. But when traders ask for transparency, suddenly they’re “paid actors” or part of some agenda? So let me get this straight: ✅ Firms can reject payouts. ✅ Firms can ignore trader complaints. ✅ Firms can attack review pages. ❌ But traders can’t ask questions? ❌ Review pages can’t discuss public complaints? ❌ Anyone who criticizes the firm is automatically “paid”? That’s not accountability. That’s damage control. Instead of worrying about who is posting complaints, focus on solving them. Respond to traders. Provide evidence. Resolve cases. Because blaming review pages won’t restore trust, and calling every critic “paid” won’t make the complaints disappear. #propfirmedge

@Propfirmedge @atlasfunded @CianHansardAF Another firm you seriously need to look at after this is @InstantFunding_ if you check their website FAQ and rules, there is no where that states VPS is prohibited, yet they breach traders accounts for using VPS citing their terms and conditions PDF. That’s fraud.

@propfirmeye @atlasfunded It’s 2.8 now, no longer 2.9 soon it’ll be 1.0 😂😂

PropFirm: You engaged in coordinated trading. Your payout is rejected and your account is permanently disabled. Trader: Sir, where's the proof? PropFirm: Trust us, man That's exactly what @atlasfunded did. They rejected this trader payout, accused him of coordinated trading and permanently disabled his account – yet failed to provide any clear evidence. Hey @LAntonioAF – If this trader actually violated any rule, then provide transparent and verified proof. Traders don't believe in "Trust me" source. They believe in evidence.

@PropFirmsGuru @upcomers_com @Random_trader1 Bro, with all these limitations and why don’t they just trade the accounts themselves and pay themselves 😂😂

Scam alert ⚠️ @upcomers_com Scam exposed⬇️ The trader @Random_trader1 payout rejected three time each time citing different accusations. All his accounts have been suspended without any response or explanation from the platform. In the first payout rejection, trader executed only a single trade with no repeated entries or excessive risk exposure, yet it was still declined, @JakubUPC For the second payout rejection, the trader took positions in both directions, not opened buy and sell at once,but according to his analysis,There was no rapid entry or overtrading, and no rule prohibited this approach. Every trade was executed with proper risk and sound management. Knowing they might reject it anyway, he strictly followed all protocols. he delayed re-entries after losses, avoided repeating the same pair, switched instruments, and complied with every requirement. The trader notes that the "gambling" rule is vague and can be applied to any trading style, including one-sided positions. No specific ratio is stated on their website. Placing just one trade per day should not qualify as one-sided betting. Nevertheless, all his accounts were suspended. For the third payout rejection, the trade history shows no clear violations. Upcomers contacted him via WhatsApp, urging him not to post publicly. They offered VIP treatment, promised to ease the evaluation process, and guaranteed no further rejections. He did not trust them, as they appear to be scamming traders broadly. Even free accounts provided to traders face similar payout rejections. Further proof available if you need it @JakubUPC I can only post 4 here so if you need anything I have all at my dm. @TheTrustedProp @PropFirmMatch @PropFirmMedia @Propfirmedge @propfirmeye @propworldnews @propfundsquad

@PipsCabal That’s because you purposefully twist your rules to scam traders, I bought a 100k account, passed both phases and got to payout, yet you breached my account because I didn’t email you before logging my account on my VPS.

Years in this industry, and this still gets under my skin: the casual "scam" label thrown at firms by traders who didn't read the rules, and Scammy review pages that amplify it without checking facts. Some of you even coordinate in groups just to brigade firms. The playbook isn't complicated: know the rules, trade by them, get paid. If your strategy is "lose money, then cry scam online" that's not a scam, that's a skill issue.

@gabrielrockson_ @dmartin_trading Data is needed for research, or did you mean something else?

@dmartin_trading @AkaniQuant Sorry, I'm mistaken then. From one of your previous posts, I got the impression that you're on a data first approach.

One of the biggest lessons I have learned in developing trading systems is that In Sample data cannot be trusted. For instance, if you built and developed a strategy on data from 2008 - 2018. You cannot, under any circumstance expect that is what your strategy performance will reflect in live trading. Your performance will almost certainly be worse than that in sample backtest suggest. There are multiple factors at play but the main one is "training bias" which is introduced when developing and optimizing your strategy. You captured some noise and some signal. Noise, by definition does not consistently repeat. Therefore the noise which your optimizations captured will not repeat and lead to worse performance. In this same development, say we have OOS data from 2019 - 2026. If this was completely unseen and never touched, it becomes a more accurate reflection of how you can expect your strategy to behave. It does not mean this is how your strategy will perform in the future, unfortunately we can never know that. But your untouched OOS (if enough regimes are covered), is a more accurate depiction of how your strategy may actually perform in live trading. If you do this experiment enough times you will see that more often than not, OOS performance is worse than IS performance. The main reason for this as mentioned is training bias; your IS development capturing unrepeatable noise. Your OOS is precious and only valid once.

@dmartin_trading Sounds great, so basically buy and Hold? Do you sell options too?

@AkaniQuant Well I don't exploit inefficiencies. My strategies are risk premiums

@gabrielrockson_ @dmartin_trading Research is key, Research is everything, people who approach the markets using scientific or mathematical methods would always outperform traders. This is one thing I learnt over time.

@AkaniQuant @dmartin_trading I believe @dmartin_trading mostly does the data first approach to finding edge. I agree with your take, as I develop my strategies from the hypothesis first approach and don't have to mine an edge through multiple variations over data.

@dmartin_trading We need to understand that we can never find a strategy that would perform well in every scenario, even the inefficiencies that exist now would die at some point, our job as algo traders is to find what inefficiencies exists now, and exploit them until they die.

Well that strategy will work because since 2020 Yen has been weak against most crosses specifically UJ and GJ. So being long UJ and GJ has been easy money. But what happens when we get price action like 2007 - 2010 when GBPJPY was going down everyday? Or 2016 - 2019 when it was choppy and down? That strategy will probably fail then. Do you have a system in place to detect when your approach is no longer valid and ditch it in time before it erases all gains? Because I don't disagree with your approach. I build strategies really similar to that, the difference in my workflow is that I like to test on more than 10 years of data covering multiple market regimes and use unseen data to validate the idea

@dmartin_trading This edge alone doesn’t apply only to GBPJPY, take this quick assignment, build a bot that goes long on Monday by 1am at market open and closes on Wednesday by 11am. Run on all symbols on MT5, and see what performances you get.

@dmartin_trading My SL and TP levels. and that’s it, no need to optimize or change anything, you have an actual legit strategy that is built on an edge gotten from research. Once you learn to research, and ask the questions people don’t ask, you gain a different understanding of the markets.

@dmartin_trading First is experience, second is research. I recently discovered holding longs GBPJPY on has been profitable for the past 3 years, (using research) so I developed a bot that goes long on GBPJPY every Monday, then I plotted the average session range and use the max levels to plot…

@PropFirmsGuru @atlasfunded They would rebrand soon, to World Flat Funded Maybe.. 😂😂

The trader is disputing @atlasfunded decision to deny my payout, accuse him of coordinated trading, and permanently disabled his account. The email cited trade synchronization and IP matches but provided insufficient evidence for verification. The trader reject these allegations and confirm that his trading was legitimate. He request a detailed review with specific trade data, timestamps, IP logs, and all supporting evidence. Additionally, I note that your policy prohibits posting about unfair payout rejections, account breaches, or disputes on social media, effectively requiring customers to accept such decisions silently. I request prompt resolution of this matter. @atlas_futures @CianHansardAF @LAntonioAF So you guys want to scam silently.

@CianHansardAF @forexblog9ja @atlasfunded Even with your paid reviews, your Trustpilot sits at 2.9. Maybe time to rebrand to Flat Earth Funded? and scam harder!!

@forexblog9ja @atlasfunded But you were paid to make this post, right? “Do you charge money for it?” “Yes” We pay every trader that follows our rules. Simple.

.@atlasfunded made a post trying to debunk the several payout denial but a trader made it clear that reviews don’t lie and that there’s no way they get 39 negative reviews out of 8ate. This signals that they are not serving traders with a sincere heart and they keep denying payouts. A firm who denies his affiliates payout can do worst to you that’s not even their affiliate. Reporting from the right source.

@oskarmini_ @Nickkjnr10 @Khldfx @atlasfunded 😂😂😂

@AkaniQuant @Nickkjnr10 @Khldfx @atlasfunded You don't mean it

"I had a withdrawal rejected by Atlas Funded and was disappointed to find that both the company's X account and the CEO's account blocked me afterward. In contrast, I've seen other prop firm CEOs, such as Funding Pips CEO @Khldfx Khaled Ayesh, remain publicly accessible to traders during disputes. I believe firms should address misunderstandings transparently rather than block customers who raise concerns. @GoatFunded @EdwardXLreal remain publicly accessible to traders during disputes.

@B_trader__ @atlasfunded These atlas funded are scammers, they are supposed to be arrested. They keep rebranding and scamming traders.

Update on my Funded account with Atlas Funded I do not have the energy to beg for review, I am very sure the team did a careful and thorough investigation before coming to their conclusion. Unto the Next but not with @atlasfunded 🫡

@dmartin_trading @ZeroEmotionsSQX I wanted to type this, but thank you for doing so, I honestly don’t even think that there is any strategy that is fully assymetric. This is one of the heavy red flags you should check for, when looking for strategies.

Not necessarily. Markets aren’t always fully asymmetric. A long only strategy with a specific set of rules may struggle when traded short using those same rules, not because the edge is not real, but because market behavior on the downside is often different from market behavior on the upside. As a result, the rules may require some adjustments. In SQX, I’ve also found that developing systems in only one direction tends to produce more robust results.

Direction: longs, shorts, or both 🚀 Does your strategy buy, sell, or both? Long + Short generates more complete strategies and proves the edge works in both directions. Long only or Short only are useful for assets with directional bias or prop firm restrictions. If a strategy only wins in one direction and loses in the other, it may be capturing a market bias, not a real edge. A manual trader chooses direction by opinion. SQX chooses by data.