Sferica Trading Automation LLC
⭐MRRdeals Score · 57/100Automate your own TradingView strategies. See live performance before you commit. Connect TradingView or TrendSpider to 60+ brokers in minutes. Run 60+ live-tracked strategies on crypto, forex, stoc
What this SaaS is
Automate TradingView strategies and connect to multiple brokers.
- Connects to 60+ brokers
- Live performance tracking
- Multiple pricing tiers
- No active customers— Zero customers reported. Hard to model retention or growth.
- Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
- Single acquisition channel— All customers come from one acquisition channel. Pull the plug and revenue dies.
Numbers that matter
Tech stack
Marketing channels
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback period, asking price vs category median multiple, and 30-day profit margin.
30-day MRR delta, with a small bonus when historical snapshots confirm a sustained climb.
Revenue per visitor, customer count, plus live-site UX signals (pricing reachability, core pages, copyright freshness).
AI-disruption risk, presence on review platforms (G2, ProductHunt, AppSumo…), penalty when built on no-code rails.
Diversity of marketing channels, Merchant-of-Record status, cofounder count. Solo founders and no-code stacks get docked.
Listing freshness, payment provider trust, business age, customer concentration. Higher score = less risky.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMmid
The market for trading automation tools is sizable but not massive, appealing to a niche audience.
- Saturationmature
Many established players exist, indicating a mature market with limited room for new entrants.
- 3y trendgrowing
Interest in algorithmic trading has increased, driven by retail investor participation in financial markets.
- AI disruptionvulnerable
The product could be replicated by skilled developers, making it vulnerable to disruption.
- Hype cyclemainstream
Algorithmic trading is widely adopted, placing it in the mainstream phase of the hype cycle.
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