TradeSgnl

TradeSgnl

AppSumo

TradeSgnl is highly valued for its seamless TradingView and Telegram signal automation, comprehensive analytics, and user-friendly interface. While some users initially experienced confusion regarding VPS requirements and complex setup, the platform's impressive 4.7 overall rating and a 60-day money

TradeSgnl is highly valued for its seamless TradingView and Telegram signal automation, comprehensive analytics, and user-friendly interface. While some users initially experienced confusion regarding VPS requirements and complex setup, the platform's impressive 4.7 overall rating and a 60-day money-back guarantee make TradeSgnl a solid choice for those seeking automated MT5 trades.

Share card

Actual performance

16reviews
Did not reach leaderboard

Traction signals

Rating4.8 / 5
Purchases89

Launch Intel predictions

Analyze your own launch →
AppSumoStrong fit for a featured deal · Strong signals: platform, friendly, interface · Missing: plus, intuitive, reviews
81%81% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users, trading · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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