The
Infrastructure Layer
AlgoBars is building the AWS of algorithmic trading. White-label infrastructure that replaces $5M+ engineering teams with a single API.
Executive Summary
AlgoBars delivers institutional-grade algorithmic trading infrastructure that enables financial institutions to launch sophisticated trading capabilities in weeks instead of years, at a fraction of the cost. Our dual-revenue model combines B2C subscriptions with usage-based Algo Tokens and B2B broker licensing, creating multiple compounding revenue streams with 90%+ gross margins.
The Problem
Every brokerage wants algorithmic trading. Everyone wants AI Automated Trading, and nobody wants to trade manually.
Building in-house requires $5M+ investment and 2–4 years of development.
Banks employ 100s of quants at $425K–$650K/year each. 95% of this quantitative work can be automated with AlgoBars AI.
The Solution
White-label algo trading infrastructure via simple API integration. Deploy in 4 weeks instead of a 2 to 4 year in-house build.
1,000+ markets across 6 asset classes. 100+ indicators + AlgoBuilder for unlimited custom analysis. Pre-built connectors for 200+ brokerages worldwide.
B2C subscriptions ($0–$997/mo across 5 tiers) + usage-based Algo Tokens + B2B broker licensing with volume-based pricing and white-label branding.
Market Opportunity
A $47 Billion market growing at 12.4% CAGR
Model Your Investment
Slide to explore Series A through Series B. Returns update in real-time.
6 Revenue Streams
Multiple revenue streams with high-margin SaaS + usage-based pricing
person1. Retail Subscriptions (B2C)
Five plan tiers from $0 to $997/mo with 20% discount on annual billing, plus usage-based Algo Tokens.
business2. Broker Licensing (B2B)
Brokers resell AlgoBars under their own brand at any retail price they choose. Zero setup fee. Per-trader rates flat for brokers under 10,000 active traders.
| Tier | Rate | Setup | Retail Equivalent |
|---|---|---|---|
| Per-trader Starter | $2/mo | $0 | $0 retail |
| Per-trader Active | $3/mo | $0 | $29/mo retail |
| Per-trader Plus | $6/mo | $0 | $97/mo retail (most popular) |
| Per-trader Pro | $10/mo | $0 | $297/mo retail |
| Per-trader Scale | $18/mo | $0 | $997/mo retail |
| White-label monthly | $97/mo | $0 | Monthly fee after first client onboarded |
| Enterprise (10K+ traders) | Custom | $0 | Custom pricing, dedicated infra |
token3. Algo Token Economy
1 token = $0.10. Universal billing unit covering AI generation, automated trades, lot volume, and backtest data pulls. Each plan includes a monthly allocation. Overage billed at tier rates without interrupting strategies.
| Action | Standard Rate | Scale Rate (20% off) |
|---|---|---|
| AI strategy generation | 1 token ($0.10) | $0.08 |
| AI audio alert | 1 token ($0.10) | $0.08 |
| Per automated trade signal | 5 tokens ($0.50) | $0.40 |
| Per lot of volume | 5 tokens ($0.50) | $0.40 |
trending_up4. Broker Volume Tier Discounts
Lot throughput rates step down as broker monthly volume grows. Higher-volume brokers pay materially lower rates per lot.
| Volume Tier | Monthly Throughput | Rate |
|---|---|---|
| Tier 1 | 0–500K lots | $1.00 / lot |
| Tier 2 | 2M–5M lots | $0.75 / lot |
| Tier 3 | 5M+ lots | $0.50 / lot or custom |
extension5. Backtest Data Pricing
Pay-per-pull data metered by chart timeframe. 10+ years of data available across 1,000+ markets. Formula: cost = markets × years × rate.
| Timeframe | Rate (per market, per year) |
|---|---|
| 1-minute | $6.00 |
| 5-minute | $2.00 |
| 15-minute | $0.80 |
| 30-minute | $0.40 |
| 1-hour | $0.20 |
| 4-hour | $0.05 |
| 1-day | $0.03 |
| 1-week+ | $0.01 |
storefront6. Marketplace Commissions
20% platform fee on all marketplace transactions. Creators keep 80%
| Transaction Type | Creator | Platform | Network Effect |
|---|---|---|---|
| Strategy Sales | 80% | 20% | High |
| Strategy Subscriptions | 80% | 20% | Recurring |
| Signal Subscriptions | 80% | 20% | Recurring |
| Copy Trading | 80% | 20% | Viral |
| Indicator Sales | 80% | 20% | High |
Enterprise Cost Savings
Your firm has 100+ quants on payroll. 95% of them become redundant.
5-Year Financial Projections
| Metric | Y1 | Y2 | Y3 | Y4 | Y5 |
|---|---|---|---|---|---|
| Total Revenue | $8.2M | $41.9M | $133M | $294M | $501M |
| B2C Revenue | $3.2M | $17.7M | $56M | $126M | $203M |
| B2B Revenue | $2.6M | $12.4M | $41M | $89M | $147M |
| Other + Strat Perf | $2.4M | $11.8M | $36M | $79M | $125M |
| Gross Margin | 81% | 87% | 89% | 91% | 91% |
| EBITDA | $1.5M | $21.4M | $77M | $192M | $325M |
| Net Income | $1.4M | $21.3M | $77M | $193M | $327M |
| Registered Users | 30K | 120K | 350K | 600K | 1M |
| Paid Subscribers | 3K | 20K | 50K | 100K | 150K |
| Broker Partners | 8 | 16 | 26 | 39 | 52 |
| Headcount | 15 | 45 | 120 | 200 | 300 |
* No taxes applied in projections
Competitive Moat
Deep technology advantages that compound over time
$2M+ in R&D invested. Competitors face years of catch-up.
Lot-scaled compute across 6 phases with 827x scaling. Sub-10ms algo-testing.
100+ indicators + AlgoBuilder for unlimited custom analysis.
Pre-built connectors for 200+ brokerages worldwide. Network effects compound.
Enterprise-grade security backed by $200K+ in compliance investment.
Strategy marketplace creates viral loops. 1,000+ symbols with per-market pricing $29–$4,999/mo.
Use of Funds: $100M
Seed through Series A. Launch to product-market fit and first $40M ARR
Month 6: Platform live with 1,000+ markets, AlgoBuilder, backtesting, and cycle token billing
Month 12: 30K users, 3K paid, 8 broker partners, $6.7M ARR
Month 18: 75K users, 10K paid, profitability achieved, $20M+ ARR run rate
Month 24: 120K users, 20K paid, 16 broker partners, $40M ARR, triggering Phase 2
Triggered at $40M ARR (Month 24). Deploys $1B across: Engineering ($280M), Sales & Marketing ($230M), Strategic Acquisitions ($150M), Data Infrastructure ($100M), Global Expansion & Regulatory ($120M), Talent ($50M), Security ($20M), Working Capital ($50M). Total regulatory budget: $58.9M across both phases (CFTC, FCA, MAS, DFSA, ASIC, BaFin, SOC 2, GDPR).
Implied Valuation Trajectory
How AlgoBars value compounds as revenue scales at standard SaaS multiples
| Multiple | Y1 | Y2 | Y3 | Y4 | Y5 |
|---|---|---|---|---|---|
| @ 10x Revenue | $82M | $419M | $1.3B | $2.9B | $5.0B |
| @ 12x Revenue | $98M | $503M | $1.6B | $3.5B | $6.0B |
| @ 15x Revenue | $123M | $629M | $2.0B | $4.4B | $7.5B |
| @ 20x Revenue | $164M | $838M | $2.7B | $5.9B | $10.0B |
Investor return on $100M at ~$200M pre-money. $100M buys ~33% of the company
Y5 implied: 10x=$5.0B · 12x=$6.0B · 15x=$7.5B · 20x=$10.0B | 5% of $6.0B = $301M (3.0x on $100M)
Leadership Team
Built by Operators with Deep Domain Expertise
Aman Cheema
15+ years HFT. Built first profitable bot at 19. Sub-ms automation architect.
Mohammad Qureshi
Lead architect. Built systems processing 50B+ events/day. Full-stack expert.
Camillo Amato
25+ years trading systems. VP Fidessa. 125+ OMS implementations.
Ready to Invest?
$100M Series A. TAM $47B. $501M projected Year 5 revenue. Join us in building the future of algorithmic trading infrastructure.
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