See exactly when and where your trading strategy works. Compare any asset to any other. Filter by market hours. Build institutional-grade analysis — without writing a single line of code.
Canva made design accessible. Figma made prototyping accessible. Webflow made web development accessible.
We're doing the same for quantitative trading — professional-grade strategy tools for the 95% of traders who can't code.
In early 2024, I started building trading bots for friends. They weren't professionals — just everyday traders with good ideas but no technical tools.
The pattern was obvious:
Not everyone can code. Not everyone has access to professional tools.
Most strategies fail not because they're bad — but because execution is poor.
SignalForge wasn't built because I wanted to start a company.
It was built because I saw a gap between ideas and execution — and I lived that gap myself.
A unique window exists to capture the retail trading market before competitors can adapt.
TradingView's 100M+ users are locked into Pine Script. They cannot pivot to no-code without alienating their power users. We're building for the 85 million who never learned to code — and never will. By the time they adapt, we'll have the network effects.
These are not simple features — they are architectural innovations that took 20 months to build. Competitors would need to rebuild from scratch.
Each mechanism required 6-12 months of engineering. They are architectural innovations that solve fundamental problems competitors don't even address.
Every feature below previously required Python, Pine Script, or a quant team. We made them all point-and-click.
Compare everything against Bitcoin, Gold, S&P 500, or any reference asset.
Stocks, crypto, forex, commodities — 30,000+ symbols unified.
Hedge funds compare assets relatively. Now retail traders can too.
Not just IF it works. WHERE and WHEN it works.
This depth never existed. We checked TradingView, Trade Ideas, and QuantConnect. None offer this without Python.
Real feedback from beta users. Full testimonials available upon request.
| Platform | No Code? | All Markets? | Regime Analysis? | Verified Backtests? | Community | Mobile App | Monthly Cost |
|---|---|---|---|---|---|---|---|
| TradingView | Needs Pine Script | No | No | No | 100M+ Users | Yes | $15-60 |
| Trade Ideas | Yes | US stocks only | No | No | Active | No | $127-254 |
| QuantConnect | Needs Python | Yes | No | No | Dev Forum | No | $20-80 |
| 3Commas | Yes | Crypto only | No | No | Active | Yes | $29-99 |
| SignalForge | YES | YES | YES | YES | Building | Coming Q3 2026 | $29-79 |
20 months. Full stack. One person. Every line of code, every architecture decision, every user conversation — I built it all.
Most funded teams of 4 haven't shipped what SignalForge already has.
Now imagine what happens with a team.
Trading influencers on YouTube, TikTok, and Reddit bring their audiences.
They monetize verified strategies on our platform. We get distribution.
Their verified success stories become our marketing.
Q2 2026: 5-7 creator partnerships (50K+ audiences each)
Deal: 90% revenue share first year
Target: 400 → 800 users through creator-led growth
Every early-stage company faces existential risks. Here's what could go wrong — and how we're addressing each threat.
We could fail too. The difference is we're building defensible technology in a growing market with a clear monetization path. This is not a "growth at all costs" story. We target break-even by Q4 2026 with conservative 3% capture of our addressable segment.
AI agents can generate strategies. They cannot generate institutional-grade quantitative infrastructure. SignalForge is that infrastructure.
Agentic coding strengthens our position. AI can generate strategies — it still requires structured infrastructure to test, validate, compare, and deploy them safely. SignalForge is not competing with AI. SignalForge is becoming the validation and execution layer for AI-driven quantitative trading.
5-person team: Founder + 2 Senior Engineers + Mid-Level + Intern
18 months runway: (20-21 with R&D tax credits ~£28K recovery)
Break-even: Q4 2026 (Dec 2026)
Dec 2026 target: 8,000+ users, £23K+ MRR