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Tag: Backtesting

Beyond Bitcoin Beta and Towards A Digital Asset Investment Strategy

Presenting a digital asset strategy that embraces nuance and extends beyond a singular, directional bet on bitcoin upside.

Amazon Forecast Weather Index – automatically include local weather to increase your forecasting model accuracy

We’re excited to announce the Amazon Forecast Weather Index, which can increase your forecasting accuracy by automatically including local weather information in your...

Top copy trading bot platforms

Trading bots come packed full of helpful features. Let’s take a look at some of the advantages of using one.

Measuring forecast model accuracy to optimize your business objectives with Amazon Forecast

We’re excited to announce that you can now measure the accuracy of your forecasting model to optimize the trade-offs between under-forecasting and over-forecasting...

3 Crypto Trading Bots that are Free

Crypto trading bots are software that have the ability to almost automate your trading by taking in a few fixed parameters as a...

Dynamic Cryptocurrency Trading Backtesting Platform — Python

Is your trading strategy profitable?Great, now we have a large dataset of cryptocurrency prices. Before we get into the trading environment, let’s create...

Managing missing values in your target and related datasets with automated imputation support in Amazon Forecast

Amazon Forecast is a fully managed service that uses machine learning (ML) to generate highly accurate forecasts without requiring any prior ML experience....

Backtesting of margin models

Given the recent increases in initial margin that I covered in a few recent blogs (see Procyclical margins in the time of Covid-19...

Procyclical margins in the time of Covid-19

I recently read an interesting BIS Bulletin, titled “The CCP-Bank nexus in the time of Covid-19”, by Wenqian Huang and Elod Takis (available...

AI For Portfolio Management: From Markowitz To Reinforcement Learning

Artificial intelligence, machine learning, big data, and other buzzwords are disrupting decision making in almost any area of finance. On the back office, machine learning is widely applied to spot anomalies in execution logs, for risk management and fraudulent transaction detection. At the front office, AI is used for customer segmentation and support and pricing the derivatives. […]

The post AI For Portfolio Management: From Markowitz To Reinforcement Learning appeared first on TOPBOTS.

12 Use Cases of AI and Machine Learning In Finance

In today’s era of digitization, staying updated on technological advancements is a necessity for businesses to both outsmart the competition and achieve desired business...

Algorithmic Trading Strategies, Explained

Momentum trading is based around the logic that if a predominant trend is already visible in the market, then that trend is plausibly...

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