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 โ€” 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 that learns and 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 that trades, learns, and improves โ€” 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 that learns and 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 that 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.

Traction & Validation

Traction from first prototype to proven trading brain.

Our Journey

2020โ€“2022 ยท Prototype

Late-night build proved AI decisions could beat static rules.

2022โ€“2025 ยท Rebuild

Event-driven, cloud-native stack retrains live for 10K+ users.

> 99 %

Uptime

< 100 ms

Latency

10 K+

Scalability

< โ‚ฌ100

Infra Cost

Five years of obsession turned into one ready product โ€” proven, lean, and built to grow.

Go-to-Market

Full-time kickoff to public beta and 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.

Roadmap

Proven architecture โ†’ public beta โ†’ recurring revenue.

Timeline ยท Q4 2025 โ†’ Q1 2027

Five-quarter sprint from tech validation to public beta and recurring revenue.

2025 โ€“ Technology ready โ†’ 2026 โ€“ Go live โ†’ 2027 โ€“ Revenue validated.

Competition

Bridging retail bots and 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.

The Ask & Next Milestones

One year to go from ready โ†’ revenue.

Our Ask

Weโ€™re raising โ‚ฌ150Kโ€“โ‚ฌ200K at a โ‚ฌ1.8Mโ€“โ‚ฌ2.5M pre-money valuation to fund one year of full-time execution โ€” culminating in a live beta, first 100 paying users, and โ‚ฌ2Kโ€“โ‚ฌ5K MRR.

What This Round Achieves

Milestone
Timeline
Outcome
Full-Time Team Activation
Q2 2026
4-person team fully active.
Public Beta Launch
Q3โ€“Q4 2026
Platform live, dashboard public.
Initial Monetization
Q4 2026
First 100 users, โ‚ฌ2Kโ€“โ‚ฌ5K MRR.
Seed-Readiness
Q1 2027
Validated traction, metrics pack ready.

1DES is not an idea โ€” itโ€™s a working system at the edge of launch.

Closing / Contact

1DES โ€” AI trading that learns as fast as the market.

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.