Top 1% Fx Traders providing services to:Sovereign Funds, Nations, Corporations, Charities & Retail Clients. Client Funds & Gains Insured with a USD$2 BIL fund.
Listen to your own feed for once. It’s a 24/7 sales funnel aimed at traders of every skill level, repackaged as mentorship. You and ICT are on the same summit, repeating the same script, apparently on the theory that repetition manufactures credibility. It doesn’t.
You have never addressed fundamentals, or how they interact with the technical setups you sell. You have never explained the mechanism by which your code supposedly outperforms. No backtest. No equity curve. No drawdown figures. No out-of-sample data. What you offer instead is a rotating cast of beneficiaries — your mother, your father, your uncle, your auntie, the neighbor, little Billy and his dog Pippy — as if sentiment can stand in for evidence.
If you’re educated, act like it. Publish the data. Anyone can talk in certainties; only people with nothing to hide publish numbers. The fact that none exist after repeated requests isn’t an oversight. It’s the finding. It tells us the system doesn’t survive scrutiny from traders who actually understand market structure — so you keep it away from them.
This is a product built to be sold to people who can’t yet evaluate it, funded by the margin between what it costs and what it’s worth. That’s not a business model, it’s an extraction model. And the bill comes due for other people, not you.
You will not be the one holding the account when your signals meet a violent print, a genuine black swan, or a politician’s offhand comment moving three asset classes at once. You’ll be unavailable. Your buyers will not be.
Last point, non-negotiable: no code changes trader psychology. Time and losses do that, slowly, if at all. Trained clinicians with years of experience can’t reliably retrain impulse control in people who want to be helped. An indicator has no chance.
The core problem: every claim in this post is unfalsifiable. “Best system in the entire space,” “consistent,” “worth its weight in gold,” “REAL mechanical system” — these are assertions with no attached reference class. A claim like “the entire week would be bearish” is only meaningful if it specifies the instrument, the timeframe, the entry/exit rules used to score it, and what “bearish” resolved to in P&L or R-multiple terms. Without that, it’s not a forecast being validated — it’s a narrative being asserted after the fact, and narrative is cheap because it can always be fitted to whatever happened.
Specific issues worth naming:
https://t.co/i02XlhzMTd track record, just testimony about a track record. “We put our real money on it” and “the answer will always be YES” are claims about the existence of proof, not proof itself. A verified brokerage statement, a time-stamped signal log, or a third-party audit (MyFXBook, FX Blue, etc.) costs nothing to produce if the results are real. The absence of it — while repeatedly invoking its importance — is the tell, not the reassurance.
2.Survivorship framing. “You never hear our traders complaining about Price Action no matter what condition the market gives us” is a statement about the traders who stayed and posted, not about the full user base or the strategy’s actual win rate, drawdown, or Sharpe. Silence from a filtered audience isn’t evidence of edge.
3.Vagueness as a feature, not a bug. Terms like “HTF targets,” “bias detection,” and “mechanical system” sound rigorous but are never operationalized — no win rate, no sample size, no max drawdown, no out-of-sample test. Precision-sounding jargon without precision-sounding numbers is a common substitute for the numbers themselves.
4.The AI dig is self-defeating. “Who cares that AI helped you code it, did you make money with it” implicitly concedes that a coded system should be judged on backtested/live performance — then the post supplies zero of that data for its own tool. It states the correct evaluation standard and then doesn’t meet it.
5.Moral framing replacing empirical framing. “We trust our children and loved ones to use it” is a values claim, not a performance claim. It’s designed to make skepticism feel unkind rather than reasonable. That’s a rhetorical move, not evidence.
What would actually make this credible: a public, time-stamped signal log with entries/stops/targets logged before outcomes are known; aggregate stats (win rate, average R, max drawdown, sample size) over a defined period; and ideally independent verification. Anything short of that is a promise wrapped in confidence, and the confidence itself isn’t information — it’s a substitute for it.
The Claude Playbook for Finance Pros (only 1% use this)
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This is the most practical Claude resource I've ever built for finance teams
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💬 Which use case would save you the most time
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@DaveTradesOpts@BalconyTrading To be believed of all the hype you're attempting to post on X, provide the data to back up the claims. Until then, what's the point?
From watching this space for some time, I agree with numerous points. I have never participated in these new types of props where companies revenues mainly are derived from losing traders. What a terrible model as it demotivates theme trader but motivates the prop owners to use unfair tactics to extract fees from traders. The more convoluted the rules, the greater the degree of difficulty in achieving any success.
Traditional Props have been around for decades and have been proven to be truly effective in motivating traders to excel in their craft. Trading is challenging enough. No one needs under handed tactics to extract revenue from up & coming traders. Traditional props follow the simple formula 15:15:70 or 20:20:60. Meaning trader$ : tradingfirm$ : client/investor$. Motivating for all parties involved.
And the trader is able to trade higher amounts in live markets & not the sim markets. My only question is, when will traders wake up to the truth?
Technical indicators show weak-to-no statistically significant edge in isolation, and most retail traders using them lose money — but the picture is nuanced.
On indicator efficacy (academic literature)
•Meta-analyses of technical trading rules (moving averages, RSI, MACD, Bollinger Bands) find profitability has decayed sharply since the 1990s as markets became more efficient and strategies got arbitraged away — the classic Brock/Lakonishok/LeBaron (1992) results on MA/trading-range breakouts don’t replicate well post-2000.
•Most peer-reviewed studies find indicators generate signal but not enough alpha to beat transaction costs and slippage after accounting for data snooping bias (Sullivan, Timmermann, White’s “White’s Reality Check” work is the standard citation here).
•Where indicators do show some persistence: momentum (12-month, not intraday) and volatility-based signals (regime filters), used as risk overlays rather than standalone entry signals.
To become a GOAT, there is a price of admission. Most can’t pay it. You have paid it. But also received something in return that cannot be examined for a fixed notional value. What you have gained is priceless. The experience gained will shape your trading for decades ahead. You should be proud. Very proud. For learning and now surpassing everything to garner the endless wealth ahead. Best of Success!