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ALGORITHMIC
TRADING.
Build. Backtest. Automate.
ADVANCED TERMINAL
Build, backtest, optimize and automate quantitative strategies across U.S. securities with AI. Import existing strategies, explore new research-desk strategies and portfolios, scan markets in plain English, and investigate companies through AI-powered research, news and SEC filing analysis. Test performance against historical data with trading costs and overlooked market corrections, then automate strategies through a secure connection to a supported brokerage — all in one platform.

Access Advanced Terminal
Access the Advanced Terminal with AI credits included. Create and analyze quantitative strategies, monitor them in real time, and deploy them through supported brokerages.
FAQ
Yes. You can open the terminal without an account and look around: charts and quotes, the strategies and portfolios our research desk publishes, news, and SEC filings. Creating an account starts your free month, which lets you save strategies and connect a brokerage. AI features come with Basic and Premium.
Every trading day, our neural network looks at the roughly 500 largest U.S. companies and forecasts how each one is likely to perform over the next 20 trading sessions, about a month, against the S&P 500. For each company it reads 75 measurements across 11 kinds of data, from price and trading activity to earnings, financial statements, filings, news and the moves of its industry peers.Those forecasts are one of the tools our research desk can draw on when it designs a strategy. They never go straight into a published strategy: a rule that relies on them has to pass the same validation checks as every other strategy we publish. The network answers to its own test as well. It was selected by a test we wrote down before running it, and if its live record turns against it, the desk stops using it automatically.Its forecasts are research inputs, not investment advice.
Our network learns from every trading day in the history of the roughly 500 largest U.S. companies since 2004: more than 2 million company-days. For each company and each day it weighs 75 measurements across 11 kinds of data: how the stock has traded over short and long horizons, its risk and volume, the market conditions around it, earnings timing, intraday trading, fundamentals from financial statements, SEC filings, news and the moves of its industry peers.Its forecast is the average of an ensemble of networks trained independently, and the process around it is built so it can't flatter itself:It only uses what was knowable at the time. Every input is dated to when it became public.It's tested on years it never saw. We rebuild it year by year since 2009, each time from the years before, and judge it on what happened next.It had to earn its place. Before choosing it, we trained four rival versions, one of them on virtually the entire U.S. stock market: more than 14,000 companies and more than 25 million company-days, including companies that failed, such as Lehman Brothers and Silicon Valley Bank. Every version was judged under rules we fixed before seeing any results. The one in use won that contest, then passed a final test on years held back for it.Testing this generation took cloud machines with nearly 200 virtual processors and almost 4 terabytes of memory between them.
Every backtest runs on real market history, after trading costs and regulatory fees. The strategies our research desk publishes go much further. Each one has to get through the kind of review an institutional quant team would run, and nearly every idea fails it.Real-world costs and fills. Every round trip pays the stock’s own measured bid-ask spread, never less than 2 basis points or half a cent a share a side at the price it traded at back then. On top of that come SEC and FINRA fees on every sale. Signals are calculated after the close and filled at the next trading day’s open, never at the closing price they came from.Total return, measured like a fund. Dividends are credited as they’re paid, uninvested cash earns the Treasury-bill rate, and Sharpe and Sortino ratios are measured against T-bills.Only what was knowable at the time. Earnings dates and financials are dated to when they were filed with the SEC, and short interest to when FINRA published it. Renamed companies keep their full history. Tests reach back as far as 2003, up to 23 years, and never cover less than 10.No survivorship bias. Each strategy is also run on up to 40 similar companies that were delisted during its test, and it’s refused if it lost money on them.A bar that rises with every idea tested. Test enough rules and a few will look brilliant by luck. So the desk counts every strategy it has ever tried and raises its bar to match. A strategy needs a t-statistic above 3.5 twice: once on its own trades, and again with its delisted look-alikes added in. That’s stricter than the 3.0 Harvey, Liu and Zhu proposed for new findings in finance.A report a professional would recognize. Every published strategy shows:its deflated and probabilistic Sharpe ratios, CVaR, Omega, Ulcer index and conditional drawdown at riskits rolling 12-month Sharpe, factor-adjusted alpha and after-tax returnits capacity and the trading cost it could absorbits correlation with every other published strategyPortfolios answer to their own tests. Their weights are fitted on the earlier years with shrinkage estimators (Ledoit–Wolf for risk, James–Stein for returns). They’re then judged only on the years held back. There a portfolio needs a Sharpe ratio of at least 1.0, an average correlation of 0.6 or less between members, and better results than its own members.Results are still hypothetical. No backtest captures every real-world detail, such as partial fills or the price impact of very large orders, and past performance doesn’t predict future returns.
Yes. ALGORA1 imports Pine Script, thinkScript, EasyLanguage, NinjaScript and Python, and keeps each language’s own rules for how a script runs. If part of a script can’t be translated faithfully, we tell you which part and why rather than quietly approximating it. On Basic and Premium you can also describe a strategy in plain English and have it built for you.
Robinhood, Webull, Public.com, tastytrade, E*TRADE and moomoo. Robinhood connects directly and the rest through SnapTrade; either way you sign in at your broker, and we never see your brokerage password. ALGORA1 never holds your money or securities: they stay in your brokerage account. The free month connects one brokerage, Basic two, and Premium as many as you like.
By default, yes. Once you connect a brokerage, orders that fit the limits you set are placed without asking you first. Our software checks every order against your live account before it’s sent: per-order and daily caps, a cash floor, a daily-loss halt and concentration limits. Short selling is never allowed. Switch to review mode and nothing executes until you approve it, and you can halt trading or disconnect at any time.
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