Automated Stock Screener Replacing Costly Advisory with Python Scripts

Automated Stock Screener Replacing Costly Advisory with Python Scripts targets a $2.0B = 2,000,000 potential buyers x $1,000 ACV. Buyers include active retail traders globally and small advisory firms willing to pay roughly $1,000 per year for automation, backtesting and alerts that replace expensive human advisory. total addressable market with medium saturation and a year-over-year growth rate of 12-20% year over year growth in retail algo and subscription research demand.

Key trends driving demand: Retail trading growth -- expanding base of active retail traders increases demand for automated tools and affordable advisory replacements.; Broker APIs and open data -- brokers exposing APIs reduce integration friction and enable direct execution and live alerts from scripts.; Quant tool accessibility -- maturity of Python libraries and cloud compute lowers the barrier for building reliable screeners and backtesting systems..