
策引 - 系统化投资分析平台 | 策略回测与组合管理工具
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。
The full gallery
Tech stack
60 projects

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 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 📊 👉

Automate stock trading strategies using AI backtesting and research tools without coding.
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

Build ATS-optimized resumes and find matching jobs using AI.
u/doullahsaqib · Reddit
I built an AI career platform because job seekers are using 5 different tools to do one thing: get hired I've been working on a SaaS called CareerMatchs , and I'm finally at the point where I want feedback from people outside my own circle. The idea came from looking at how fragmented the job-search process has become. You use one tool to build your resume. Another to optimize it. Another to search for jobs. Then YouTube/Google/ChatGPT to figure out how to prepare for the interview

Match with investors that fit your startup, then improve your deck with investor-style feedback and readiness scoring. Start free and upgrade anytime.
@Evalyze_ai · X
Ran Shack again through to find the right pre-seed investors for consumer AI and automated selling. pulled 3 europe focused investors who actually back early consumer tech and marketplaces 1- @specht_p at Creandum. general partner who heavily backs early stage consumer platforms, marketplaces, and software across europe 2- @sophiabendz at Cherry Ventures. partner and former spotify exec who specifically targets early consumer tech and consumer AI apps 3- @chrija at Point Nine. managing partner who is a top early stage investor in marketplaces and scalable software drop your deck on the site to grab the rest of the list

Match spreadsheet columns using custom conditions and AI-powered precision.
Smart Match AI — 自定义条件和精度来匹配两列不同的数据,更加自由的 Excel lookup/vlookup

Pharma business development tool for patient forecasting, deal analysis, and licensing transactions valuation.
@theobouille · X
A Business Development & Licensing Toolbox for Pharma: Patient forecasting / Comparable BD&L Transactions / Potential Deal Structure All with Codex 👨💻!

Evaluate and compare AI candidates against a baseline, veto regressions, and return auditable decisions.
@JustinGarr90748 · X
We're building Cyberelf labs because a better score doesn't mean a better model.

AI matchmaker that learns your personality and introduces compatible matches.
@Okweyeprecious · X
Check out what I just built with Lovable!

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

AI tool that audits your dating profile photos and bios to improve your match rate.
Z4cki

Upload résumé and job URL to get match score, gaps analysis, and apply/skip guidance.
u/tejasghutukade · Reddit
I built Nxtrol — paste a job URL, get an honest apply/skip brief, then tailor your résumé Hey r/SideProject 👋 I just took Nxtrol out of private beta. The problem Job hunting felt like gambling. I’d open a JD, feel “maybe,” apply anyway, and only later realize it was a bad fit — or spend an hour rewriting my résumé for something I should’ve skipped. What it does 1. Paste a job URL 2. Get a structured fit brief (score, gaps, clear apply/skip) 3. If it’s worth it, tailor résumé + cov