PredictNow.ai
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About
PredictNow.ai is a no-code financial machine learning software that helps hedge funds and financial institutions optimize their trading strategies. It uses Corrective AI, a proprietary approach, to refine and enhance human decision-making. The platform offers pre-engineered features, Conditional Portfolio Optimization (CPO), and a user-friendly interface to predict profitable trades. It integrates with existing prediction models and provides tools for risk management and backtesting. The platform allows users to apply machine learning predictions to their data without any previous programming knowledge.
Platform
Features
• api access
• no-code interface
• explainable ai
• risk management
• pre-engineered features
• integration with quantconnect for backtesting
• conditional portfolio optimization (cpo)
• corrective ai
FAQs
Can I combine daily and intraday data to create a single model? Or is it better to separate data of different frequencies?
Yes, but it depends on your label frequency. If daily frequency, then you have to downsample the intraday features - our Feature Engineering Toolbox can do that. If intraday frequency, then you just need to fill forward your daily features.
Can I predict multiple tickers at once with a single model (i.e. multivariate regression)? Or does it create separate models for each ticker only (i.e. univariate regression)?
Yes, if you normalize the features and labels appropriately, then a single model can be built to predict all stocks.
Can we use 1 minute notional path returns (or labels) instead of ‘round-trip’ trade returns (or labels) to increase # observations for the meta-labeling model?
Yes. Mark-to-market returns can be used instead of realized Round Trip returns.
Is it necessary to always provide a date column?
It is not mandatory, but any strings/non-integer values will be used for one-hot encoding. We recommend, at least for the prototype version, to use a date column for simplicity.
I’m using PredictNow.ai for metalabelling but my strategy does not trade frequently. What should I do?
In a metalabel application, if a trade was not made for a certain sample, the target should be "NaN" or "Null" instead of "0".
How can I backtest my strategies?
We have a direct integration with QuantConnect, which you can you use to backtest your trading strategies.
Where can I get data features to augment onto my strategy’s PnL?
We offer 616 global macroeconomic daily features with our Premium subscription. If you have any interest in testing these features for free, email info@predictnow.ai
How do I gain access to the service’s API?
Email info@predictnow.ai to get a free trial of the platform's API version.
How do I protect the intellectual property of my trading strategies?
Users can anonymize all their column titles before uploading their datasets to the PredictNow.ai platform. Since each user is attempting to predict the outcome of *their* unique strategy, there is very minimal arbitrage between the predictive accuracy and our 616 features. We also sign mutual NDAs with all of our Premium customers.
How do I cancel my subscription?
In the Dashboard click on “Account”. In Account, click the “Manage Subscriptions” button followed by the “Suspend subscription” button.
Pricing Plans
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