Original Summary

I've been building MCXTrends since April, and it's grown into a pretty large market platform covering forex pairs, global commodities, US/European/Asian markets, and Indian markets including MCX, Nifty 50, Bank Nifty and Sensex. It has been indexing well. I been trading since covid and I studied finance from warwick university. I always wanted to build a platform where i could see all the relevant assets and sectors in one place in a cool UI that is low light friendly and also have some stuff i learned in financial derivatives n fundamentals of finance modules to be applied on this live data of assets automatic. while ofcourse nobody knows the future it really helps you understand the state of market in a more technical way and with the global news from 200+ sources that I have been gathering on it asset to asset helps you get a quick global outlook. global market pipeline runs every 30mins n refreshes. The Quant engine runs RSI, MACD, Bollinger Band width, 20/50/200 EMA structure and volume analysis across 1m, 5m, 15m, 1h and daily timeframes, then combines the signals to produce a real-time UP / DOWN / HOLD trend signal and confidence score. it then writes the calculated signal in a template design I have built because live ai templates wont make sense in a finance platform so the templates look ai but there are about 144 different combinations of templates accordingly to the state of that asset. It also has real-time financial news intelligence, sentiment scoring and an after-hours engine that watches global markets to estimate the next Indian market opening. The tomorrow prediction system runs based on global assets that affect each other and varied timeframes so if crude spikes that would mean asian markets that import crude will open lower so it gives you a bit of prepared mindset that the day can start bearish. anyways Built the whole thing from scratch and it's free to use. Would love feedback from other traders and builders.   submitted by   /u/dvysrm [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/8 16:38:44