
Basis — Trade on proof
Backtest trading strategies using historical stock market data.
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉
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Backtest trading strategies using historical stock market data.
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉

Backtest investment strategies, track portfolios, and analyze markets with AI assistance.
策引 — 全球市场技术分析工具,可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能,可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。

Backtest crypto trading strategies by describing them in plain English.
@torquant · X
building Torquant. you build and backtest trading/investment strategies using only natural languange

Build trading bots with Python or visual blocks, backtest on real data, and compete on leaderboards without risking money.
@CodeBullapp · X
Building CodeBull. A platform where you build trading bots with Python or visual blocks, backtest them on real-world market data, and compete against other users’ strategies. Zero risk. Just learn trading by building.

Generate test cases and scripts automatically from requirements.
@SEOexpertpkk · X
AI-Driven Test Automation Platform

Audit your website for SEO, performance, security, and AI readiness in one scan.
petersas · HN
We gave our website-audit tool an MCP server so agents can fix issues

AI platform for researching, backtesting, and automating trading strategies without coding required.
u/person-person12 · Reddit
The honest reality: Building more SaaS features can do more harm than good Nine months ago, my SaaS was called WealthLearn . At the time we had built Market Research, Backtesting, AI Tools, TradingView Indicators, Portfolio Analysis, Broker Connections, Automation, Education, and even a separate Futures Application for MacOS/Windows. The problem was that every time I explained the company, I had to list all of those things. Our team understood how everything connected b

Test AI agents against production mirrors using replayed traces to find bugs and regressions.
aisinghal

AI scans competitors and market data to validate if a startup idea is worth building in 90 seconds.
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.

Free platform for testing, monitoring, and analyzing APIs with real-time insights.
@SajidAbuba74138 · X
A tool for developers

Validate your startup idea with AI-powered market research, competitor analysis, and SWOT scoring.
@xpertvex · X
Building A platform to validate your startup idea with AI before you build it.

Audit your content's performance for AI-powered search engines.
@BayofDomain · X