Alpha Quant Pro
Quantitative research, backtesting and trading software
What it does
Alpha Quant Pro is quantitative research and trading software for systematic strategy research, tick-level backtesting, analytics, monitoring, and connected execution workflows.
Build, test and operate systematic trading strategies with Alpha Quant Pro, quantitative analytics and connected trading workflows. Not just another indicator script. Alpha Quant Pro runs a full AI trading stack — macro analysis, pluggable strategies, and real-time risk defense — all in one desktop terminal. Reads real-time DXY and US10Y data before every trading cycle. If macro conditions are unstable, the engine automatically holds back. No blind trades. Swap strategies like changing apps. Each model is trained on millions of ticks using XGBoost, TCN, or Transformer architectures. Drop in a new bundle, restart, done. Advanced multi-layered protection featuring Breakeven Stoploss, Trailing…from alphaquantpro.com
Does the same job
all alternatives →
- QIQuantra.io, a quantitative finance API made with Quantlib2017 · quantra.io · ▲90
- QNQuant News – Quantitative trading research, news, blogs, and comments2015 · quantnews.com · ▲73
More dev tools this month
the category →
Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com
OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com