Chimelem Akani

600 posts

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Chimelem Akani

Chimelem Akani

@AkaniQuant

Automated Systems and Strategies Developer | Founder https://t.co/QXPjon8u6T | Time Based Trader

United States Inscrit le Kasım 2023
15 Abonnements61 Abonnés
Chimelem Akani
Chimelem Akani@AkaniQuant·
@dmartin_trading Yes, the reason why you haven’t experienced this is because of the type of strategies you develop which is very good, they are mostly one directional and the primary edge still exists as this instruments would continue to be bullish on the long run.
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D. Martin
D. Martin@dmartin_trading·
Ranges have been bigger than average over the years I agree but if you use ATR for position sizing it adjusts for that. What I'm referring to is how well a strategy performs in one "regime" compared to another. I haven't really seen much evidence in my own strategy development process to conclude that markets behave significantly differently over time. That is my own personal experience through the type of strategies that I build. Maybe depending on the type of strategy/edge you try to create, market regimes play a big role
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D. Martin
D. Martin@dmartin_trading·
As someone who has manually backtested Gold and Nasdaq from 2004 to 2026, I can tell you that price action has not changed one bit. Not even an ounce. I hear people echo the sentiment a lot, that market regimes have changed and what works in 2005 will not work in 2026. I do not see this at all... for trend following strategies at least. Below is the performance of a simple MA crossover strategy I manually backtested back when I was a discretionary trader. I built this strategy on data from 2018 - 2025. I then got access to data from 2004 - 2017 which is all OOS. The performance in both periods were very similar. Maybe we have been in only one regime since 2004 but I saw no difference in price over those 20+ years.
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Chimelem Akani
Chimelem Akani@AkaniQuant·
Your trades hit SL too fast, problem You only open buy trades, problem You hold trades over weekend, problem Few trades? Consistency problem It’s obvious, the kind of traders these prop firms are looking for doesn’t exist.
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Legend
Legend@PROP_FM_PROMOTE·
The scam firm @atlasfunded CEO @LAntonioAF is saying to traders that read the rules. In reality if you follow every rule and your payout amount is big it's guaranteed that your payout will be rejected. They only putting senseless accusations to betray you.
Prop Firms Guru@PropFirmsGuru

@LAntonioAF You are highlighting the importance of rules, yet it appears your firm does not consistently follow its own. Numerous traders report having their payouts rejected and accounts terminated without any actual rule violations. It would be helpful to transparently inform traders about the broad allegations your firm uses to justify account breaches and payout denials, rather than presenting them as formal rules.

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Chimelem Akani
Chimelem Akani@AkaniQuant·
Dear Prop Firms, If a trader passes your evaluation, gets funded, and requests a payout, YOU ARE OBLIGATED TO PAY THEM! If you later find an issue, you can refund the fees and close the account. Arbitrarily breaching accounts and denying payouts is daylight fraud.
Chimelem Akani tweet media
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Cian Hansard
Cian Hansard@CianHansardAF·
@Names_Chima @atlasfunded The screenshot shows that you have an EXACT IP match with 3 other traders. If you have a solid explanation as to why, please feel free to reach out.
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IMOLE 💡
IMOLE 💡@Names_Chima·
You mean to tell me that after waiting for 2mnths because the acct is a giveaway acct and requesting for payout this is what i get?I followed every rule right from the phase 1, traded every single thing by myself and what I get is a screenshot that doesn't justify? @atlasfunded
IMOLE 💡 tweet mediaIMOLE 💡 tweet media
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Chimelem Akani
Chimelem Akani@AkaniQuant·
@dmartin_trading Also the actual price movement per bar/day has grown, meaning different risk, position sizing, and execution realities. That’s a regime shift too.” If you study hidden markov models you’ll find a lot of hidden market structures that we can’t even explain.
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Chimelem Akani
Chimelem Akani@AkaniQuant·
@dmartin_trading Market regimes aren’t just about directional price action or MA crossovers performing similarly. Example…. Plot the average 1H range and average daily (ATR) range for Gold and Nasdaq from 2004–2026. Absolute ranges have increased significantly over time as prices rose.
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Chimelem Akani
Chimelem Akani@AkaniQuant·
@NoorCOOFTM @Trustpilot I haven’t used FTM, but I have had my share of prop firms, @InstantFunding_ denied my payout and breached my account stating that VPS usage is prohibited, but it is never stated on their FAQ, or rules. when I asked they sited a PDF file, in their footer page. Isn’t that FRAUD?
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Noor - COO FTM
Noor - COO FTM@NoorCOOFTM·
@AkaniQuant @Trustpilot I am a trader myself I don't need to feel after this haha If FTM has denied your payout or given you stress, I am all ears.
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Noor - COO FTM
Noor - COO FTM@NoorCOOFTM·
A word about @Trustpilot & FTM. In Jan 2026, Trustpilot slapped a warning sign on our profile for "fake reviews." No evidence. No specifics. I challenged them, offered to back every review with purchase history, trading data, payouts, customer contact on live chat/email etc. But no, they had to just hide behind their vague guidelines. Since then it's only gotten worse. 5 star reviews from real, paid, verified traders are being rejected or removed. 1 star reviews on the other hand are all legit lol. We have 30,000+ traders, we process big payouts fast and can confidently say that even X is relatively quite about FTM no one can just come and say FTM scammed them of their payout on any bulshit reason, and somehow nobody is "allowed" to be happy with us? Really pissing me off at this point. Meanwhile, since the warning, our business has grown 4x. That's not what a scam firm looks like. That's traders placing trust on us despite a review platform telling the ultimate lie that they have removed fake reviews. Guess what? you have removed genuine reviews from traders that were actually happy with FTM and then put the blame on us on top that we are creating fake reviews. Follow the thread to see some of the examples.
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Chimelem Akani
Chimelem Akani@AkaniQuant·
@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.
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Breakout
Breakout@breakoutprop·
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.
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Chimelem Akani
Chimelem Akani@AkaniQuant·
@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.
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Prop Firm Edge
Prop Firm Edge@Propfirmedge·
🚨@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
Prop Firm Track@propfirmtrack

Hey @CianHansardAF – why aren’t you showing the full picture? Review pages don’t post anything out of thin Air. Trader's complaints are publicly available and review pages are just highlighting them. On your Trustpilot profile – 39% of the reviews are 1★. If you’re not scamming trader's, why does your profile have that many Negative Reviews? Thanks @Adam_Aabaad for highlighting this.

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Chimelem Akani
Chimelem Akani@AkaniQuant·
@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.
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Prop Firm Eye
Prop Firm Eye@propfirmeye·
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.
Nickk@Nickkjnr10

"Atlas Funded denied my payout, accused me of coordinated trading, and permanently disabled my account. They cited trade synchronization and IP matches but did not provide enough evidence in their email for me to independently verify their claims. I dispute their findings and have requested a detailed review." @atlasfunded @PropFirmsGuru @propfirmexposee @forexblog9ja @@LAntonioAF @CianHansardAF

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Prop Firms Guru
Prop Firms Guru@PropFirmsGuru·
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
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Chimelem Akani
Chimelem Akani@AkaniQuant·
@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.
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PipsCabal
PipsCabal@PipsCabal·
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.
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D. Martin
D. Martin@dmartin_trading·
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.
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D. Martin
D. Martin@dmartin_trading·
@AkaniQuant Well I don't exploit inefficiencies. My strategies are risk premiums
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Chimelem Akani
Chimelem Akani@AkaniQuant·
@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.
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Gabriel Rockson
Gabriel Rockson@gabrielrockson_·
@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.
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Chimelem Akani
Chimelem Akani@AkaniQuant·
@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.
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D. Martin
D. Martin@dmartin_trading·
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
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Chimelem Akani
Chimelem Akani@AkaniQuant·
@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.
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