Photo - Hourly Stocks, Inc.
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Hourly Stocks, Inc.

Real-time Machine Learning Stock Forecasts

USA, California
Market: Financial services
Stage of the project: Prototype or product is ready

Date of last change: 06/03/2019
Min investment
$  100.000
Total required
$ 1.950.000
Rating
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Idea

Hourly Stocks is a FinTech company dedicated to making the most advanced financial analytics tools available to all traders—regardless of their financial resources. Our tagline is “Forecasting For All,” a rallying call for ordinary traders. We use cutting-edge machine learning algorithms to predict the stock market on a rolling basis—allowing investors to buy and sell at opportune moments, test strategies, and compete with hedge funds and financial institutions.

Current Status

Hourly Stocks is currently in Beta testing stage. We continue to refine our models and develop our website.

Market

Roughly 3-5 million US adults actively engage in trading stocks (includes day traders and swing traders). Apps like Robinhood boast 700K users at an average age of 26.
More than 4,600 US Hedge Funds control 1.1% of all financial assets.

Problem or Opportunity

Advanced machine learning tools for stock market forecasting are not available to the general public and are only used by an elite group of hedge funds. Day traders and investors use outdated tools that process only a small fraction of the data available from the stock market.

Solution (product or service)

By combining some of the most powerful predictive algorithms available, Hourly Stocks has built forecasting models with a meaningful edge. We collect and process data remotely on cloud-based computers that enable us to analyze large amounts of data in real-time. We use cutting-edge machine learning algorithms to predict the stock market on a rolling basis—allowing investors to buy and sell at opportune moments, test strategies, and compete with hedge funds and financial institutions.

Competitors

There are currently no real-time machine learning based forecasts of the entire US stock market made available to the general public.

Competitors:
-IKnowFirst: 5 Stock picks based on predictive algorithms
-Accern: Early news alerts, uses AI to scan the web for sentiment. Limited to institutional users.

Indirect Competitors:
-eSignal: Advanced charting tools for technical analysis
-TC2000: Technical analysis for stock and option traders
-TAS MArket Profile: TAS trading indicators
-Trade-Ideas: Stock scanner, tracks real-time trade opportunities

Potential Entrants:
-Trading and Portfolio Management Apps: Robinhood, Betterment, TD, etc.
-Data and Analytics Providers: Bloomberg, Reuters, Yahoo!, etc.

Advantages or differentiators

In addition to developing a data pipeline in the cloud which allows processing of massive amounts of stock market data, we have built prediction models that successfully predict the direction of stock prices with a statistically significant edge over random chance.

Finance

Individual subscriptions
Institutional subscriptions

Business model

Attract a large user base of individual and institutional stock traders

Money will be spent on

Scaling up, purchasing data subscriptions, and cloud computation.

Team or Management

Risks

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Website address

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Idea
Current Status
Market
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Finance
Invested in previous rounds, $
Business model
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Team or Management
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