SignalForge

Stop Guessing.
Start Knowing.

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.

The Problem

An Unfair Fight.
Retail Traders Are Outgunned.

70-90%
of retail traders lose money
92% of institutions use algo trading. Retail doesn't. 80% of day traders quit within 2 years.
The Code Barrier
60-75% of market trades are algorithmic — but not from retail. Want to compare BTC to ETH? You need Python. TradingView has 100M+ users. Most can't code.
The Trust Crisis
$5.7B lost to investment scams in 2024 — up 24% from 2023. Screenshots are faked. Self-reported returns have no audit. Zero verification exists anywhere.
The Insight Gap
Average retail investor underperforms S&P 500 by 6.1%/year. A strategy shows 60% win rate — but when does it work? Which hours? No platform tells you.
Traction

Zero Marketing.
Real Demand.

550+
Users Signed Up
500+
Waitlist
£0
Marketing Spend
Sep 2025: Reddit posts (multiple times) — all removed
~60 users over Sep + Nov All posts deleted, users still came
Feb 4, 2026: 1 free Instagram shoutout from a friend
+143 users, +271 waitlist in 24h More growth in 48h than previous 5 months
Deleted Reddit posts gave us ~60 users. One free Instagram shoutout gave us 370+ more in a week.
What do 5-7 paid creator partnerships with 50K+ audiences generate?
86% Conversion
Waitlist → Signed up
Low Churn
High engagement in 6-month beta
Scale Ready
Built for 10,000+ concurrent users
SignalForge Growth Chart
Why I Built This

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.

AZ
Anass Zniti
Founder & CEO, SignalForge
Market Timing

Why Now?
Four Converging Forces

A unique window exists to capture the retail trading market before competitors can adapt.

100M+
Retail Trading Explosion
Over 100 million brokerage accounts across major platforms. Retail participation surged from 10M traders in 2019. Robinhood, Webull, and commission-free trading brought a new generation into markets. These traders lack analytical tools.
$4B+
No-Code Movement Matured
2025 marks the inflection point. Webflow ($4B valuation), Bubble ($74M revenue), Airtable proved users pay premium for no-code power. Trading is the last frontier. Existing platforms still require scripting from the 2000s.
0
Verification Gap
Zero platforms offer cryptographic proof of strategy performance. The trust crisis we described earlier? No one is solving it. We're building verification infrastructure before anyone else — positioning SignalForge as the trusted standard.
🤖
AI & Agentic Trading
AI agents and trading bots are exploding — they all need infrastructure to validate strategies before deployment. SignalForge is that infrastructure. We're the validation layer for the next generation of autonomous trading.
2019-2024
10M → 100M
Retail Traders
+
2020-2025
No-Code Wins
$4B+ Valuations
+
2024-2025
Trust Crisis
$5.7B Lost
+
2024-2026
AI Agents
Need Infrastructure
=
2026
SignalForge
Perfect Timing

The Window Is Now

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.

Why SignalForge?

Five Defensible
Technical Moats

These are not simple features — they are architectural innovations that took 20 months to build. Competitors would need to rebuild from scratch.

Moat 1: Locking Mechanism
Global relative comparison scanning
Lock one side of any comparison to a reference symbol. "Find all stocks outperforming the NASDAQ" or "all crypto more volatile than Bitcoin." Relative strength analysis at scale — no one else does this.
Proprietary6+ Months Engineering
Moat 2: Dual Attribution System
75 regimes + 8 time dimensions
WHERE: 5 trends × 3 volatility × 5 momentum = 75 market conditions. WHEN: hour, day, month, session, holding time, entry quality, exit type, streaks. No platform tells you both where AND when your edge exists.
Regime-Aware8-Dimension
Moat 3: Server-Side Verification
Auditable, immutable proof
Backtests run on OUR servers. Config locked at test time. Any modification = verification breaks. First marketplace with server-side strategy verification.
Tamper-ProofAuditable
Moat 4: Cross-Dimension Logic
Multi-timeframe, multi-symbol tracking
Alert when BTC 5min RSI < 30 AND daily trend is up AND ETH shows divergence. Multi-dimensional logic competitors cannot match.
Cross-TimeframeCross-Symbol
Moat 5: BLU AI Assistant
Natural language to strategy builder
"Build me an RSI oversold strategy for London session" → BLU creates the tracker. Analyzes backtests. Suggests optimizations. AI that makes professional tools accessible to everyone.
AI-PoweredDomain-Specific

Technical Defensibility

Each mechanism required 6-12 months of engineering. They are architectural innovations that solve fundamental problems competitors don't even address.

The Foundation

What Used to Require Code.
Now Takes Clicks.

⌨️
The Old Way (Python)
# Compare ETH momentum to BTC import pandas as pd import numpy as np btc = fetch_data('BTC', '1h') eth = fetch_data('ETH', '1h') btc_rsi = ta.rsi(btc.close, 14) eth_rsi = ta.rsi(eth.close, 14) if eth_rsi[-1] > btc_rsi[-1]: alert("ETH > BTC")
2+ hrs
to build & debug
VS
🖱️
SignalForge (Visual)
ETH RSI (14) > 🔒 BTC RSI (14)
Timeframe: 1 Hour Alert: On
30 sec
drag, drop, done

Every feature below previously required Python, Pine Script, or a quant team. We made them all point-and-click.

01
Compare Any Asset to Any Other
"Alert me when Ethereum's momentum exceeds Bitcoin's" — impossible elsewhere without Python.
Was: Python
02
Mix Hourly and Daily Data
"Buy when the 1-hour price crosses above the daily average" — previously required complex data resampling.
Was: Python
03
Filter by Market Hours
Only trade during London, New York, or Tokyo sessions. Minute precision. Previously required timezone libraries.
Was: Code
04
Compare Now vs. 5 Bars Ago
Historical lookbacks in any condition. Previously required array indexing and edge-case handling.
Was: Code
05
Complex If/Then Logic
"If (A and B) or (C and D), but not E" — unlimited nesting. Previously required coding boolean algebra.
Was: Code
06
Performance by Market Condition
See results broken down by trend, volatility, momentum, day, hour, month. Previously required pandas + numpy + statistics.
Was: Data Science
Live Scanner
Running
Find: Everything where momentum > Bitcoin's momentum
Scanning: 30,000 symbols across all markets
Solana (SOL) 72.4 vs BTC 58.2 ✓
Apple (AAPL) 68.9 vs BTC 58.2 ✓
Gold (XAU) 67.1 vs BTC 58.2 ✓
Euro (EUR/USD) 65.8 vs BTC 58.2 ✓
Unique Capability

Relative
Comparison

Every Other Scanner
"Find oversold assets"
Absolute values only. Single asset class.
SignalForge
"Find everything outperforming Bitcoin"
Relative comparison. Any asset class.
  • 01

    Lock any benchmark

    Compare everything against Bitcoin, Gold, S&P 500, or any reference asset.

  • 02

    All markets, one scan

    Stocks, crypto, forex, commodities — 30,000+ symbols unified.

  • 03

    This doesn't exist elsewhere

    Hedge funds compare assets relatively. Now retail traders can too.

Analysis Depth

Know WHERE Your
Strategy Works

Not just IF it works. WHERE and WHEN it works.

Traditional Backtest
60%
Win rate. That's all you get.
SignalForge
85% / 15%
85% in trends. 15% in sideways. Now you know.
Plus: Time Analysis
By Day: Best on Tuesdays (72%)
By Hour: Peak at 14:00 UTC (81%)
By Month: Worst in August (34%)

This depth never existed. We checked TradingView, Trade Ideas, and QuantConnect. None offer this without Python.

Performance Heatmap (Sample Strategy)
92%
88%
85%
72%
68%
85%
82%
75%
65%
45%
55%
42%
38%
35%
28%
62%
58%
45%
32%
22%
70%
65%
52%
38%
18%
Strong Downtrend Trend Direction Strong Uptrend
5 Trend States × 3 Volatility Levels × 5 Momentum Levels = 75 Market Conditions
Trust Layer

The First Verified
Strategy Marketplace

📝
Create Strategy
Visual Builder
🖥️
Run on Server
Not Your Machine
🔒
Config Locked
Server-Side Run
Verified Badge
Tamper = Breaks
Current Marketplaces
  • Screenshot "proof" — easily faked
  • Self-reported returns — no audit
  • Strategy modified after backtest
  • "Trust me bro" verification
SignalForge Verification
  • Backtests run on our servers
  • Exact settings locked at test time
  • Any modification = verification breaks
  • Full performance breakdown visible
$5.7B
Lost to investment scams in 2024 — up 24% from 2023. No verification existed anywhere. We built it.
Beta Feedback

What Users Are
Actually Saying

"The regime analysis showed me my strategy only works in trending markets — that alone saved me months of losses."
— Omar J., Day Trader, Beta User
Signal Forge's tracker framework is exceptionally well designed: strategy logic is explicit, fully parameterized, and transparent. Its backtesting engine simulates strategies with realistic constraints — enabling robust validation, scenario analysis, and stress-testing.
AA
Abdelkarim A.
Senior Associate – QIS Structurer
The backtest is straightforward, doesn't feel complicated, and helps me see quickly if a strategy idea is worth exploring. The results are clear and the whole experience feels smooth and professional.
JF
Jordan F.
Trader, Beta User
The platform design is clean, intuitive, and easy to navigate — even for a beginner. Everything is well structured so you're not overwhelmed when you first log in. The interface feels modern but simple.
RE
Rania E.
Beginner Trader, Beta User

Real feedback from beta users. Full testimonials available upon request.

The Opportunity

A $21B Market
With an Underserved Majority

$21B
Algo Trading Market 2024
12.9%
Market CAGR (2025-2030)
100M+
TradingView Users
100M+
Total Retail Traders
TradingView, Robinhood, Webull combined user base
85M+
Can't Code (Our Market)
Want strategy tools, blocked by Python/Pine Script
10M+
Active Scanner Users
Already paying for alerts — ready to upgrade
TradingView built a $3B business (October 2021 valuation) serving traders who code Pine Script. But the vast majority of their 100M+ users don't code.

We're not competing for algo traders. We're converting manual traders into systematic ones.

Our initial target: the estimated 10M+ TradingView users who actively use scanners and alerts but can't code.
Competitive Landscape

We Don't Compete.
We Democratize.

10-15M
CAN CODE
Competitors Fight Here
Crowded. Commoditized.
85M+
CAN'T CODE
SignalForge Targets Here
Underserved. Ready to pay.
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
What they do better: TradingView has unbeatable charting (we don't compete there). Trade Ideas has deep options flow. QuantConnect has institutional-grade execution.

Our insight: They fight over traders who code. We convert the majority who don't — while solving the trust problem none of them address.
AZ
Anass Zniti
Founder & CEO
The Founder

Built SignalForge
Solo. From Scratch.

MSc Data Science (Jan 2023)
University of Sunderland — ML, Statistical Analysis
Fraud Detection Specialist
YouCan (Jan–Oct 2023) — Built trust scoring system, 45% fraud reduction
AI Solutions Developer
BookMeIn UK (Oct 2023–Jan 2024) — Co-founded AI storybook platform
Trading Bot Developer
Early 2024 — Built algo bots for traders, saw the gap firsthand
5+ Years Active Trader
Crypto & forex — lived the pain, then built the solution
Full-Time on SignalForge
Since June 2024 — 20 months building, ready to scale
Solo Founder

Why Solo is a
Strength

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.

20 months
Solo Development
0 → 550+
Users, £0 Spend
5
Technical Moats Built & Defended
Business Model

Three Revenue Streams.
Clear Unit Economics.

SaaS Subscriptions
Free → Pro (£29/mo) → Power (£79/mo). Every feature has a usage limit.
Marketplace (30%)
Creators keep 70%. Verified strategies command premium prices.
Add-On Packs
Extra backtests, deeper data, more scans. Pay-as-you-need.
£40
Blended ARPU
85%
Gross Margin
£50
Target CAC
10-20×
LTV:CAC Target

Go-to-Market: Creator Partnerships

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

The SignalForge Journey

20 Months Built. Ready to Scale.

2024
JUN
Dev Started
Tracker Engine
OCT
Infrastructure
Backtesting + VPS
DEC
Founded
SignalForge Ltd
2025
H1
Core Features
OptiFind + AWS
H2
Beta Launch
Waitlist + BLU AI
NOW
FEB 2026
500 waitlist 550+ users £0 spend
2026+
Q2
Pre-Seed Round
£250K + Team
Q3
Monetize
Paid + Marketplace
Q4+
Scale
8K users + Series A
20months built
550+active users
£0marketing
18mo. runway
The Execution Plan

What We Build. When We Ship.

Q1 2026 Current
Solo Founder
  • API development (OptiFind live)
  • Platform refinement
  • Fundraising & pitch
Infrastructure
  • SEIS approval secured
  • Eagle Labs accelerator
  • Beta feedback integration
550+users
£0revenue
Q2 2026 Post-Funding
STILL FREE
Team 1→5
  • 2 Senior Engineers (FE + BE)
  • 1 Mid-Level Engineer + 1 Intern
  • 99.9% uptime infrastructure
Growth
  • 5-7 creator partnerships
  • Blu AI enhanced
  • +10,000 symbols (Asia, EM)
800users
£0revenue
Q3 2026 Monetization
JULY 1ST LAUNCH
Revenue Begins
  • Free / Pro £29 / Power £79
  • Marketplace goes live
  • £10.5K paid ads testing
Monthly Progression
Jul: 35 paid £1.2K
Aug: 60 paid £2.3K
Sep: 110 paid £4.2K
1.5Kusers
£7.7KQ3 total
Q4 2026 Scale
BREAK-EVEN TARGET
Product Launches
  • Mobile app (iOS + Android)
  • 20+ marketplace strategies
  • Paper trading live
Monthly Progression
Oct: 220 paid £8.5K
Nov: 380 paid £14.5K
Dec: 600 paid £23K
8K+users
£23KMRR
H1 2027 Advanced
POST BREAK-EVEN
Key Features
  • Broker API integration
  • Auto-execution (live trading)
  • Walk-forward analysis
  • AI strategy optimizer
  • News sentiment analysis
  • International expansion (EU)
25K+users
£75K+MRR
2027+ Vision
SERIES A READY
Platform Evolution
  • Copy trading (auto-follow)
  • Options & derivatives
  • Institutional / white-label
  • Data monetization to HFs
  • Global expansion (Asia)
  • API marketplace
100K+users
£500K+MRR
💰 £250K in
👥 Team 1→5
📈 400→8K users
£23K MRR (Dec)
🎯 Break-even Q4 2026
7-8% free-to-paid conversion • £29-79 ARPU • Marketplace adds 10-15% revenue by Q4
Honest Assessment

Risks and
Mitigation Strategies

Every early-stage company faces existential risks. Here's what could go wrong — and how we're addressing each threat.

TradingView Adds No-Code Builder
Likelihood: Low-Medium
They have 100M+ users invested in Pine Script. Adding no-code cannibalize their power user base. Mitigation: We have 18-24 months head start. By then, our verification layer and IP protection create switching costs.
Regulatory Changes (MiFID/SEC)
Likelihood: Medium
Financial regulation always evolves. We could face compliance costs. Mitigation: We're analytics software, not a broker or signal provider. We don't custody funds or execute trades.
Customer Acquisition Cost Too High
Likelihood: High
Retail traders are notoriously hard to convert. Mitigation: Freemium model with limited free tier, community-driven growth through verified strategy sharing. Target LTV:CAC of 10-20× long-term — viable even at 3:1.
Fails to Achieve Network Effects
Likelihood: Medium
Two-sided marketplace requires critical mass. Mitigation: SaaS revenue model means we're viable WITHOUT marketplace success. Marketplace is upside, not dependency. 50%+ revenue from subscriptions alone.

The Honest Reality

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 & Agentic Coding

AI Will Not Replace Us.
It Will Run On Us.

AI agents can generate strategies. They cannot generate institutional-grade quantitative infrastructure. SignalForge is that infrastructure.

AI Agents & LLMsGenerate ideas, strategies, parameter variations
operates on
SignalForgeDeterministic engine · Regime classification · Time attribution
Cross-symbol multi-timeframe validation · Verified backtesting environment
Infrastructure first. Intelligence second.
Infrastructure, Not Syntax
Agentic coding removes typing. It does not replace structured execution engines, historical data integrity, slippage modelling, or regime-aware testing. SignalForge is the execution layer.
Raw Code Is Not a Reliable System
AI-generated Python does not guarantee reproducibility, statistical robustness, overfitting control, regime breakdown, or time-based attribution. SignalForge enforces structure before deployment.
AI Is a Force Multiplier
Instead of traders coding manually, AI agents create structured strategies inside SignalForge. We are building the operating system for quantitative agents.
Math First. AI Second.
Our deterministic engine was built before AI integration. Regime analysis. Attribution. Verification. AI makes it accessible. The foundation remains mathematical.

The Investor Answer

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.

The Ask
£250K
SEIS Pre-Seed Round • 18 Months Runway
UK Equivalent Cost
£510K
Our Cost
£250K
2.04×
EFFICIENCY
Same team. Same output. Double the runway. Operational efficiency = capital efficiency.
Team 29%
Infra 19%
Marketing 16%
Buffer 10%
Founder 15%
Legal 11%
29%
Team (4 Hires)
£72,500
2 senior + 1 mid-level + 1 intern (Morocco rates, 18 months)
19%
Data Infrastructure
£47,500
Polygon API, AWS infrastructure (18 months)
16%
Marketing & Growth
£40,000
8-10 creators (£15K) + paid testing (£15K) + community
10%
Contingency
£25,000
Buffer for opportunities + unexpected costs
15%
Founder
£37,500
18 months modest salary
11%
Legal & Operations
£27,500
Company admin, accounting, IP protection

SEIS Investor Benefits

50%
Income Tax Relief
50%
CGT Reinvestment
0%
CGT on Gains
27.5p
Max Downside per £1

What £250K Buys You

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

Risk Disclosure: This is a high-risk early-stage investment. You could lose all of your capital. Only invest capital you can afford to lose. The return scenarios above are projections, not predictions. SEIS tax relief reduces effective loss to ~27.5p per pound, but full loss is still possible. This is a long-term, illiquid investment with no guaranteed exit.
The Vision

The Trading Platform
Retail Traders Deserve

SignalForge
Canva proved you don't need to be a designer to create beautiful graphics.
Figma proved you don't need to be a developer to prototype products.
Webflow proved you don't need to code to build websites.

We're proving you don't need to be a quant to trade like one.

The product is built. The moats are real. The market is underserved.
Our North Star Metric
The number of traders who went from idea to deployed strategy to profitability using SignalForge.
If we help 10,000 traders become consistently profitable, we've succeeded.
Truth. Honesty. Privacy.
The Canva of quantitative trading.
  1. Schedule a 30-min deep dive
  2. Access the live platform
  3. Review data room
QR Code - Try SignalForge
Try it yourself
anass@signalforge.io · signalforge.io