AI Trading That Learns As Fast as the Market. โ€ฆAnd Belongs to Everyone.

Event-driven, transparent, non-custodial.

1DES democratizes intelligent trading with adaptive AI systems that evolve with the market, making institutional-grade performance accessible and transparent.

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Barcelona โ€ข Rasht โ€ข Karaj โ€ข Maastricht
From code to confidence: self-learning AI trading for everyone.

The Gap

Retail Traders Face a Market Built for Machines Without Having One

Pain Points

  • ๐Ÿ“ˆ Overload: Too much data, no time to react.
  • ๐Ÿ˜ฐ Emotion: Fear & greed โ†’ losses.
  • ๐Ÿฆ Edge gap: Institutions run AI โ€” individuals canโ€™t.
  • โšซ Black-box bots: Closed, custodial, untrusted.

Humans trade on emotion. Institutions trade on algorithms. 1DES brings that power to individuals.

Our Solution

Smart Trading Learns & Adapts On Its Own.

What We Do

  • โšก Live multi-exchange ingestion.
  • ๐Ÿงฉ Proprietary data-processing pipeline.
  • ๐Ÿค– LSTM, PatchTST, and classifiers in one adaptive model.
  • ๐Ÿš€ Non-custodial, API-first execution.
  • ๐Ÿ” Continuous reinforcement retraining.

A self-learning trading system that improves with every market tick.

Product Overview

Adaptive AI Trades, Learns, Improves Nonstop.

Three Integrated Layers

๐Ÿง  AI Layer

Hybrid learning that re-tunes itself on every market regime.

โš™๏ธ Automation Layer

Non-custodial execution that fires orders in milliseconds.

๐Ÿ“Š Dashboard Layer

Signal, accuracy, and log transparency in a single view.

From learning to execution โ€” every trade, every tick.

Technology & Moat

Event-Driven AI Learns & Reacts In Real Time.

Core Components

  • โšก Event-driven ingestion โ€” Kafka + Faust < 100 ms.
  • ๐Ÿงฎ Feature generator โ€” live EMA/RSI/volatility set.
  • ๐Ÿง  AI core โ€” PatchTST + LSTM + classifiers + clustering.
  • ๐Ÿ” Signal engine โ€” fused confidence scoring.
  • ๐Ÿš€ Trade executor โ€” non-custodial API orders.
  • ๐Ÿ”„ Feedback loop โ€” post-trade retraining.

Every market tick becomes intelligence โ€” stream in, learn, act, repeat.

Market & Opportunity

AI + Crypto Trading Is Surging.

Market Dynamics

  • ๐ŸŒ 560M+ crypto owners; 50M+ active traders (+25% YoY).
  • ๐Ÿค– 36.6% of retail traders run AI/bots.
  • ๐Ÿงฉ 60โ€“70% of total crypto volume is algorithmic.
  • ๐Ÿ“ˆ AI + algo trading โ†’ $35B+ by 2029.

Target Segment โ€” Semi-Pro Crypto Traders

  • Trade daily/weekly; lack institutional-grade automation.
  • API-literate; indicator-savvy; global early adopters.
  • Demand non-custodial, transparent, AI-assisted tools.

Why Now

  • Post-FTX trust gap โ†’ demand for auditable AI.
  • Exchange APIs mainstream (Binance, MEXC, Kraken).
  • AI assistants becoming standard UX.
  • Clearer EU/US regulation โ†’ stable growth path.

Business Model

Subscription-Based Revenue Grows with Usage.

Revenue Streams

  • 1๏ธโƒฃ Subscription (SaaS) โ€” tiered plans by volume/features; 80โ€“85% margin.
  • 2๏ธโƒฃ Performance Add-on โ€” optional 5โ€“10% success fee for pro users.
  • 3๏ธโƒฃ Data & API Licensing โ€” anonymized AI signal feeds for partners.
  • 4๏ธโƒฃ Strategy Marketplace โ€” curated third-party modules with 70/30 split.

Go-to-Market

Full-Time Kickoff Public Beta First ARR.

Funding Purpose

Pre-seed covers full-time build, beta polish, first 100 paying users, and โ‚ฌ2Kโ€“โ‚ฌ5K MRR inside 12 months.

Acquisition Strategy

  • Invite-only cohorts โ†’ measured scaling.
  • Weekly transparency drops on X / Discord / Medium.
  • Referral boosts โ€” early discounts + profit-share perks.
  • Influencer + quant partners to cap CAC.
  • โ€œAI Trading Explainedโ€ mini-series for education.

Each new trader improves the models, fueling the next wave of organic growth.

Competition

Bridging Retail Bots & Institutional AI.

Market Overview

Segment
Examples
Weakness
Retail Bots
3Commas, Pionex
Static strategies, custodial risk.
Copy-Trading
eToro, BingX
Human variability, limited AI.
Quant Platforms
Mudrex, Kryll
Coding required, no adaptive learning.
Institutional AI
Proprietary desks
Closed, capital-heavy, no access.

Team

A Small, Senior Team Turning Years of Experience Into One Powerful Trading Brain.

Team DNA

  • Technical-first, hands-on founders.
  • 20+ years across software, AI, and trading.
  • Execution-driven; synchronized across 3 cities.

Advisory & Network (planned)

Trading Advisor โ€” EU market-maker quant.

Compliance Advisor โ€” MiCA / GDPR specialist.

Strategic Partnerships โ€” data providers & exchanges.

Growth network โ€” X, Discord, quant communities.

Four people, one mission โ€” bring institutional-grade AI trading to everyone.

Funding & Use of Funds

Pre-Seed to Go Full-Time Launch Beta Hit Revenue

Funding Overview

Round
Pre-Seed
Valuation (pre-money)
โ‚ฌ1.8M โ€“ โ‚ฌ2.5M
Raise Target
โ‚ฌ150K โ€“ โ‚ฌ200K
Equity Offered
~8โ€“10%
Runway
12โ€“15 months

Goal by end of runway: Public beta launched ยท 100 paying users ยท โ‚ฌ2Kโ€“โ‚ฌ5K MRR

Milestone Impact

  • ๐Ÿ’ก Q2 2026 โ€” founders full-time, private beta hardened.
  • ๐Ÿš€ Month 6โ€“7 โ€” public beta live, 50โ€“100 traders.
  • ๐Ÿ“ˆ Month 12 โ€” 100 paying users, โ‚ฌ2โ€“5K MRR, seed-ready pack.

One lean round to turn readiness into recurring revenue.

Closing / Contact

1DES AI Trading

Weโ€™ve spent five years building an adaptive, event-driven AI system that bridges institutional intelligence and retail accessibility. Now, weโ€™re ready to go full-time, launch publicly, and prove that intelligent, transparent trading can belong to everyone.

Our Next Chapter

  • ๐ŸŽฏ Goal: live beta, first paying users, and sustainable revenue within 12 months.
  • ๐Ÿ’ถ Ask: โ‚ฌ150โ€“200K pre-seed to power one year of focused execution.

Five years of building โ€” one year to launch. Join us in making intelligent, transparent trading accessible to everyone.