Build Alpha @buildalpha

Build Alpha Trading Software creates, tests and codes trading strategies with the click of a button. Demos: https://t.co/kF5Niev0Wg buildalpha.com Boca Raton, FL Joined January 2017

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Build Alpha @buildalpha

14 hours ago

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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Build Alpha @buildalpha

2 days ago

@BitDealer_ 🙏

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Build Alpha @buildalpha

2 days ago

hard to believe this was almost ten years ago. Approach remains the same 💪chatwithtraders.com/103 Escaping Randomness and turning to data for an edge

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Build Alpha @buildalpha

3 days ago

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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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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Build Alpha @buildalpha

3 days ago

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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Build Alpha @buildalpha

7 days ago

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.

Build Alpha @buildalpha

2 months ago

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Build Alpha @buildalpha

a week ago

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.

Build Alpha @buildalpha

3 months ago

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Build Alpha @buildalpha

2 weeks ago

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.

Build Alpha @buildalpha

a month ago

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Build Alpha @buildalpha

2 weeks ago

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.

Build Alpha @buildalpha

4 months ago

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Build Alpha @buildalpha

3 weeks ago

Pre-simulation synthetic data, not just post-validation. Write-up with the "how" and visuals here: buildalpha.com/synthetic-data…

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Build Alpha @buildalpha

3 weeks ago

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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Build Alpha @buildalpha

3 weeks ago

ICYMI: Pooling trading signals together: buildalpha.com/trading-signal… Monte Carlo Permutation Testing: buildalpha.com/monte-carlo-pe… Portfolio Testing: buildalpha.com/portfolio-back…

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Build Alpha @buildalpha

4 weeks ago

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Build Alpha @buildalpha

a month ago

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Build Alpha @buildalpha

2 months ago

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Build Alpha @buildalpha

2 months ago

Good distinction. I’d just add that different robustness tests are probing different failure modes. Some address randomness, some parameter sensitivity, some regime dependence, some execution sensitivity, and some persistence through time. So asking why may matter, but robustness testing still matters because not every test is trying to answer the same question. The example in the write up is simply for market noise - other tests for other purposes.

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Build Alpha @buildalpha

2 months ago

Engineering legend Genichi Taguchi's methods were adopted by NASA, Ford Motor Company, 3M and many others. He aimed to minimize product variability even under adverse conditions - similar to robust trading system development. See metrics and workflows to discover more robust systems.