GPSI is a professionally operated algorithmic futures platform active across 15+ global futures markets, built on more than ten years of research, testing and refinement. GPSI trades exclusively for its own account and risk.
Global futures markets offer deep liquidity and broad opportunity across indices, commodities, currencies and fixed income. GPSI is built to capture structural pressure signals in that opportunity set — systematically, without emotion or discretion.
Institutional tick-level market data captures microstructure behaviour far beyond ordinary chart analysis — the same data quality used by banks and proprietary trading desks.
Automated orders apply the same rules every time, dispatched in milliseconds through a direct broker connection. Calm, consistent, fully systematic execution — around the clock.
Capital follows the strongest validated signals across multiple asset classes and 15+ markets, reducing dependence on any single market, sector or trend.
Every trade follows the same precise protocol: data in, signal confirmed, risk controlled, execution automated. The cycle runs continuously across all covered markets, 23 hours per trading day.
Institutional tick data streams in continuously across 15+ futures markets. A custom Python engine aggregates, normalises and structures the raw data in real time — all 23 trading hours, no gaps.
Proprietary models identify structural buying and selling pressure directly from order flow. A signal must exceed thresholds across multiple confirmation layers before it is flagged; false positives are filtered by multi-factor validation.
The execution module fires confirmed orders in milliseconds via a direct broker connection. Predefined risk layers activate instantly and manage the position autonomously — targets, stops and exits, without manual intervention.
Every component is selected or purpose-built for precision — data ingestion, signal detection, execution, risk and reporting operate as five integrated layers of one system.
A custom-built analytics core processes and normalises raw tick data in real time, tracking all covered markets simultaneously through one unified multi-market tracker.
Millisecond-resolution futures data across every covered market — the data standard used for research, validation and live monitoring alike.
A low-latency execution module built on Sierra Chart with custom C++ linkage — professional-grade trading infrastructure, purpose-configured for automated futures execution.
Confirmed signals are routed straight from the execution module to the futures broker — order placement, bracket protection (targets and stops) and position management are handled automatically at the broker level, in milliseconds. Signal and market are directly connected: fast, consistent and fully automated.
Illustrative screenshots from GPSI's execution environment. They demonstrate order handling and risk automation — they are not a representation of trading results.
One unified system trades a broad universe of liquid, exchange-listed futures across four asset sectors — long and short, wherever validated signals appear.
Coverage is expanded selectively as new markets pass the full research and validation cycle.
Capital preservation is non-negotiable. Every position is governed by predefined risk rules before capital enters the market — built into the execution layer itself, not applied as an afterthought.
Fixed maximum loss per position — no exceptions, no overrides.
Locks in profit as a position moves in favour; never widens.
Trading halts automatically if the daily loss limit is reached.
Risk per trade calibrated to capital — never fixed lot sizes.
Reduces exposure when multiple correlated markets signal at once.
Suppresses new entries during extreme volatility events.
Avoids thin-liquidity windows and scheduled news releases.
Hard cap on concurrent positions across all markets.
The layers are concurrent and independent — a failure of one does not disable the others. A rules-based system can only scale when risk control is built into execution itself.
Ten-plus years of market microstructure research, thousands of hours of development and continuous stress-testing against real market conditions — under Timo's strategic leadership, with a specialist team across technology, risk and operations.
Deep study of tick-level behaviour in global futures. First models of structural buying and selling pressure developed.
Core algorithm developed. Python data engine built and integrated with institutional tick data feeds; early pattern recognition validated against historical data.
The eight-layer protection system designed, backtested and refined. Sierra Chart execution module with custom C++ linkage and direct broker connection developed.
The system extended to 15+ futures markets under one unified tracking model. Institutional tick data adopted as the platform-wide standard.
GPSI professionalises its operating structure and selectively opens a private working-capital round to a small circle of invited investors.
GPSI works with a small, invited circle of investors and shares detailed information through its private investor area.
Detailed investor information is available in our private information area. Because the founding round is private and by invitation, we share the access code personally — request it in a single message by e-mail or WhatsApp, and we will respond promptly.