Anagami.ai careers
Anagami.ai is an ML based tool to assess how a given 'event' will affect the price of security.
For example, when an important piece of economic data, like inflation, or unemployment figures, is released, stocks and cryptocurrencies typically move sharply up or down in reaction to this data.
In some cases, there is a pattern of how stocks react to certain releases, which can be profitably exploited.
The patterns are typically not obvious, and being able to identify whether a pattern exists quickly, is very valuable to an investor.
anagami.ai predicts how stocks will behave after a given release comes out. The goal of the product is to enable investors to react to news and economic releases in a better way than what most people do today - just reading the news and coming up with qualitative judgments of how a given event will affect the market.
Currently anagami.ai is in beta stage and the vision is to:
1) iterate on current state of product based on early user feedback, with the goal of generating subscription revenue
2) generate alpha trading based on anagami's recommendations
How it works:
- anagami employs a combination of machine learning and a method used in economics known as 'event studies'.
- anagami looks for similar historical events to what is currently happening in the market (i.e. a parabolic run-up in a given stock, or a elevated inflation print), calculates a few statistical metrics, and runs an ML-based model which produces an investment recommendation.
- another feature in development is a no-code builder for neural networks to predict the market. The user selects what model they want to use, which fundamental factors to base predictions on (i.e. price momentum, inflation, interest rates etc). The model is then constructed (no-code basis), and backtested, with a verdict. If the backtest result is successful, user can deploy it, and generate alpha.
For example, when an important piece of economic data, like inflation, or unemployment figures, is released, stocks and cryptocurrencies typically move sharply up or down in reaction to this data.
In some cases, there is a pattern of how stocks react to certain releases, which can be profitably exploited.
The patterns are typically not obvious, and being able to identify whether a pattern exists quickly, is very valuable to an investor.
anagami.ai predicts how stocks will behave after a given release comes out. The goal of the product is to enable investors to react to news and economic releases in a better way than what most people do today - just reading the news and coming up with qualitative judgments of how a given event will affect the market.
Currently anagami.ai is in beta stage and the vision is to:
1) iterate on current state of product based on early user feedback, with the goal of generating subscription revenue
2) generate alpha trading based on anagami's recommendations
How it works:
- anagami employs a combination of machine learning and a method used in economics known as 'event studies'.
- anagami looks for similar historical events to what is currently happening in the market (i.e. a parabolic run-up in a given stock, or a elevated inflation print), calculates a few statistical metrics, and runs an ML-based model which produces an investment recommendation.
- another feature in development is a no-code builder for neural networks to predict the market. The user selects what model they want to use, which fundamental factors to base predictions on (i.e. price momentum, inflation, interest rates etc). The model is then constructed (no-code basis), and backtested, with a verdict. If the backtest result is successful, user can deploy it, and generate alpha.
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