PMTS 2025: Institutional Capital, Dubai Private Fund Partnerships, and the First Real Returns

This is the update we have been working toward for ten years.

When we published our first blog post in April 2021, PMTS was a research project with promising backtests and a small team. Four years and four blog posts later, we are writing from a fundamentally different position: institutional capital is now deployed in PMTS, and the system is generating its first real returns.

This post covers the most significant year in our history.

The Dubai Connection — Private Fund Partnerships

In Q4 2024, through introductions within the Dubai Silicon Oasis technology ecosystem, we began conversations with several UAE-based private investment funds. These are family offices and boutique funds managing significant capital, looking for diversified, technology-driven strategies with verifiable track records.

What attracted them to PMTS was not marketing. It was the dashboard.

When fund managers visited pmts.elysiumdubai.net/dashboard.html, they could see every trade, every equity curve, every drawdown event — in real time, from the actual broker. No PDFs. No screenshots. No “trust us.” Just raw, verifiable data synced directly from MultiBank Group.

By Q1 2025, we formalized partnerships with multiple private investment groups. The terms are straightforward:

• Capital deployment — Partners deposit capital into their own regulated broker accounts at MultiBank Group (11+ regulatory licenses, Lloyd’s of London fund insurance up to $1M)
• PMTS manages the strategy — Our system executes trades via the MAM structure. The investor’s capital never leaves their broker account
• Performance-based fees only — 35% of monthly profits, with High Water Mark protection. Zero management fees. If the system does not perform, we earn nothing
• Full transparency — Every partner has access to the real-time dashboard showing their account performance, trade history, and risk metrics

We will not disclose specific fund names or allocation amounts. What we can say is that the combined capital under management has grown from six figures to seven figures in the first half of 2025, and the onboarding pipeline continues.

Scaling the Infrastructure

Institutional capital requires institutional infrastructure. Throughout Q1 2025, we upgraded multiple systems:

MAM Distribution Engine 2.0

The original MAM distributor handled a handful of accounts. With institutional partners, we needed to support dozens of accounts with varying allocation percentages, different base currencies (EUR, USD, GBP), and precise fee calculations that account for deposits, withdrawals, and intra-month capital changes.

The new MAMDistributor.php processes every trade closure in real time, calculating each account’s proportional P&L with cross-currency conversion. Monthly billing is automated via Stripe, with the High Water Mark ensuring fairness: if a client had a losing month, losses must be fully recovered before any performance fee is charged.

Multi-Currency Support

Our Dubai-based partners operate in USD, European clients in EUR, and some UK-based investors in GBP. We built a complete multi-currency layer:

• Each trading account stores its native currency
• The user panel converts all displayed amounts to the investor’s preferred currency
• Exchange rates are cached and updated via the European Central Bank API
• Performance calculations use the account’s native currency to avoid FX distortion

Enhanced Security for Institutional Clients

• Two-factor authentication mandatory for all accounts above a certain threshold
• IP whitelisting for API access
• Session management with automatic timeout and device tracking
• Complete audit trail — every action logged with timestamp, user, and IP address

AI Engine — GPT-4o-mini and Smart Refresh

In 2025, we optimized the AI pipeline for both speed and cost:

• GPT-4o-mini replaced GPT-4o for the primary analysis loop. It is 5x cheaper while maintaining 95% of the reasoning quality for our specific use case (structured financial data synthesis)
• GPT-4o is reserved for the synthesis layer — the final step where all data streams are combined into the master signal
• Smart refresh now triggers automatically on three conditions: economic calendar events (30 min before, 15 min after), price volatility exceeding 0.5%, and scheduled 2-hour intervals

The AI Master Analyzer now produces analysis in all 7 supported languages, not just English and Spanish. The Arabic market in particular has shown strong interest, and native-language AI analysis has been a differentiator.

The Analysis Page — Intermarket Intelligence

We completely redesigned the AI Analysis page with five new sections that bring institutional-level data to every visitor:

1. Signal Semaphore — 4-card dashboard showing live signal direction, confidence, entry parameters, and active session
2. Intermarket Dashboard — Real-time correlation table tracking US10Y yields, DXY, VIX, Brent crude, S&P 500, COT positioning, and Fear & Greed — with a composite score showing whether intermarket conditions favor gold or not
3. Session Forecasts — AI-generated predictions for each trading session (Asia, Europe, USA) with direction, probability, price range, catalysts, and kill zones
4. H4 Candle Prediction — Visual candlestick prediction for the next 4-hour candle with estimated OHLC values
5. Composite Score — Aggregated bullish/bearish signal count across all analysis modules

The Blog — Content Marketing for SEO

After a thorough SEO audit revealed that PMTS had near-zero organic visibility despite having some of the best technical content in the industry, we launched this blog. The strategy is simple: document the journey, explain the technology, and let the content rank for keywords our competitors target with thin marketing pages.

If you are reading this, it means the strategy is working.

The First Real Returns — An Honest Assessment

We are now approaching the milestone we have been building toward since 2015: verifiable, consistent returns on institutional capital.

We will not publish specific numbers in this post. When we do — and it will be soon — the data will be:

• Verified — Pulled directly from broker accounts via our DataSync system, visible on the public dashboard
• Auditable — Every trade recorded with entry, exit, timestamps, and P&L
• Context-rich — Presented with proper risk metrics: Sharpe ratio, Sortino ratio, maximum drawdown, win rate, profit factor
• Honest — Including losing months, drawdown events, and strategy underperformance periods

What we can share is this: the system is performing. The Dubai partners who deployed capital in Q1 are not withdrawing — they are adding. That says more than any number we could publish.

Reflections After 10 Years

In 2015, this started as one person with a hypothesis: that algorithmic systems could read institutional order flow better than retail indicators. Ten years later, that hypothesis has been tested across:

• 5+ years of backtesting across multiple market regimes
• 3+ years of live trading with real capital
• Thousands of hours of development, optimization, and debugging
• A 47-unit server rack, a team of engineers and analysts, and a Dubai headquarters
• Integration of three generations of AI (GPT-3.5, GPT-4, GPT-4o)
• A public platform with real-time dashboard, MAM for investors, and complete transparency

The journey is far from over. Scaling from seven figures to eight figures under management, expanding to additional instruments beyond XAUUSD, and building the next generation of AI-powered analysis — these are the challenges ahead.

But for the first time in ten years, we are not building in anticipation of results. We are building on top of them.

Past performance does not guarantee future results. Trading involves substantial risk of loss. Only invest capital you can afford to lose.

— Lorenzo Ballanti, Founder & CEO, Elysium Media FZCO, Dubai Silicon Oasis, UAE