Build Alpha Trading Software creates, tests and codes trading strategies with the click of a button. Demos: buildalpha.com/demo

Joined January 2017
105 Photos and videos
AI operates Build Alpha and also makes pretty cool thumbnail images 😂
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It's so great to see so many retail traders talking about overfitting and robustness testing now. It really feels like Build Alpha changed the conversation over the last decade 🤝

ALT Smiling Mcu GIF

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Which LLMs should be added to Build Alpha for the upcoming release? Am I missing any? Open Router for free/marketplace?
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Build Alpha 🤝 Claude Automated strategy generation and validation in one platform. More to share next week..
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Connected AI to drive Build Alpha and it's insane! Claude, Grok, ChatGPT, Gemini, you name it. Video will drop next week. Beta will open soon. Fun times ahead!
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How Build Alpha works in 3 steps 1. Set Constraints 2. Set Filters/Robustness gates 3. Automatically generates strategies and exports code Here's how 👇
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3. Generates Strategies and Code - results window shows strategy candidates that pass your metrics using only your constraints/inputs. Export fully automate-able code for · TradeStation · MultiCharts · Ninjatrader8 · TradingView · Metatrader4/5 · Python · ProRealTime
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All of this with NO coding. Automated strategy discovery and validation have been and still are the future of trading. Much more to come soon...
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Genichi Taguchi was a famous quality control engineer whose methods were adopted by Toyota, Ford, and NASA. He focused on processes that survived noise and uncertainty, not ones that performed best in optimal conditions. Quant traders should build strategies like this. Build Alpha's Noise Test and automated strategy filtering are largely inspired by Taguchi's work.
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Citadel pays atmospheric scientists $1M a year. Why: weather moves natural gas, heating oil, and electricity demand before charts ever react. 30 years of the same US weather data ships with Build Alpha. The big desks model on it. Now so can you.
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Timothy Masters runs one test before approving any backtest: Monte Carlo Permutation Test Your edge has to hold across 1,000 alternate paths. Same statistics, different sequence. Most retail quants skip it. Build Alpha automates it.
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Jaffray Woodriff runs every trading signal at his $1B Hedge Fund QIM through one test before it ever sees live capital: Vs Random Benchmarking It answers could a coin flip have done this? Most traders have never run this test once. Build Alpha can run it automatically on every strategy it generates.
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Most systematic traders are training on a coincidence. The historical price chart is one path the market took. It is not the path. The future could land on any of a thousand others and if your strategy only survives the one timeline you trained on, you do not have an edge. You have memory. Backtesting on the historical OHLC is an already known limit. The fix the industry settled on: Monte Carlo, walk-forward, noise testing - all happen AFTER the strategy is built. By the time you run them, your search algorithm has already memorized the noise. You're mostly checking how badly. "Do not optimize for the known past. Optimize for the unknown futures." Robustness is the only thing that compounds in this game. Everything else is one regime away from going to zero. The fix: train your models and build your strategies on synthetic data not just the historical data. Link below 👇
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