Stock Algorithmic Trading
Software, No Code Required
Build, backtest, and automate stock trading strategies using 7,000+ signals, pre/post-market data, chart patterns, and institutional-grade robustness testing. From idea to live algo in minutes.
How Stock Algo Trading Works in 5 Steps
Choose Your Symbols
Select a single stock, basket of ETFs, or entire universe. Build Alpha returns the best strategies for that symbol, or the best systems that work across the entire basket.

Select Entry & Exit Signals
Build Alpha's library covers 7,000+ signals. Set parameter ranges and the genetic algorithm optimizes lengths and thresholds automatically:

Set Automated Filters
Tell Build Alpha which strategies are acceptable. Filter by profit factor, drawdown, number of trades, winning percentage, or advanced robustness testing criteria. Only see strategies you actually want.

Hit Simulate
Build Alpha's genetic algorithm learns from your inputs and historical data, then builds thousands of trading strategies. Results update continuously and can be paused or stopped at any time. Machine learning creates and improves strategies automatically.

Validate & Deploy
Run strategies through institutional-grade robustness tests, Monte Carlo simulation, Noise Test, out-of-sample testing, walk-forward optimization, and more. Then generate automatable code with one click.

Stock-Specific Trading Features
Intraday data back to 2006 across 1-minute to monthly timeframes. Daily data built-in and free. Import your own via CSV/TXT.
Use pre/post-market data as signals. Trade only when pre-market volume is above average, or wait until price breaks the pre-market high.
Restrict trading to morning, afternoon, or custom sessions. Force end-of-day exits so day traders take zero overnight risk.
Head and shoulders, bull flags, pennants, wedges, ascending triangles, all backtestable as entry/exit signals or displayed on live charts.
Pre & Post-Market Data

Force End-of-Day Exits

Automated Chart Pattern Recognition

Test how any chart pattern performs with specific stop loss and profit target configurations across entire stock universes. For example, test the ascending triangle with a 2 ATR stop and 2.5 ATR profit across all Nasdaq stocks, in under 15 seconds:

Quick Test: Instant Market Insights
Want to know the best time to exit? When most stocks break their pre-market high? What times your stop losses are hit? Quick Test gives you high-level insights to refine your risk management.

Custom Signals & Indicators
Can't find what you need in the 7,000+ signal library? Build your own, two ways.
Prompt to Signal
Type any signal idea in plain English and any connected AI converts the concept into Build Alpha’s backend. The signal is then selectable, testable, optimizable, and exportable to any platform Build Alpha supports.
No-Code Signal Editor
Combine any indicators, comparisons, math operators, and parameter values visually. Here's one that only trades when 4-period RSI has closed below 12 at least 3 times in the past 5 days:

Another example, the 2-period RSI divided by 4-period RSI compared against a price-to-moving-average ratio:

Python Integration
For advanced users, add custom entry and exit signals using Python scripts that integrate directly with the genetic algorithm. Read more about using Python in Build Alpha.
Data & Broker Integrations
Use the Build Alpha database (professionally cleaned, intraday back to 2006) or pull live data from your existing broker:

💡 Code Generation
Build Alpha generates automatable code for TradeStation EasyLanguage, NinjaTrader C#, MetaTrader 4/5, TradingView Pine Script, MultiCharts, ProRealTime, and Python for Interactive Brokers. One click from backtest to live deployment.
Day Trading & Intraday Features
Build Alpha supports any timeframe with features specifically built for intraday traders:
System Requirements
Mac via Parallels or Build Alpha's latest update
More RAM + CPU cores = faster simulations
FAQ
Related Guides
David Bergstrom
A decade-plus in professional trading as a market maker and quantitative strategy developer at a high-frequency trading firm with a CME seat. Self-taught C++, C#, and Python programmer specializing in data science, machine learning, and trading strategy development.
What Traders Say About Build Alpha


















Start Building Stock Strategies Today
7,000+ signals. Pre/post-market data. Chart patterns. Robustness testing. No coding required.