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Questions tagged [artificial-intelligence]

Artificial Intelligence is a very generic term. In the context of financial markets, Machine Learning (ML) or statistical learning is probably more accurate. ML is about estimating a model using data such that one does not know in advance the model that generated the observed data.

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Reinforcement Learning and Type 2 Chaos in individual trading?

I learned that RL agents typically underperform in markets due to type 2 chaos (where the market itself is altered because of the actions that the RL agent takes on the market). But how is this unique ...
Dylan McClish's user avatar
4 votes
3 answers
2k views

Does AI-based trading assume efficient market hypothesis?

When we use AI (machine learning/deep learning) in trading does that assume efficient market hypothesis? I know quantitative finance assumes price moves are random (efficient market hypothesis). Does ...
quanity's user avatar
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The metric to evaluate the efficiency of ANN based option pricing over mathematical option pricing models

The stock exchanges provide the data of option prices using theoretical formulations such as Black-Scholes formula. The dataset necessary for training an artificial neural network (ANN) to address ...
Messi Lio's user avatar
  • 113
14 votes
12 answers
4k views

What are some factually incorrect quantitative finance answers generated by AI?

One question and AI-generated response per answer. Community wiki flag and an explanation of why the AI response is wrong are encouraged. The AI program can optionally be identified. Including the ...
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2 answers
134 views

Machine Learning approach for the probability estimation of certain events

I am planning a research project on estimating the probability of corporate takeovers. I think that different variables could be indicators to predict takeover bids. For example, price increases in ...
TobKel's user avatar
  • 111
2 votes
1 answer
139 views

Choosing best expressions from all possible combinations on variables, unary operators and binary operators along with hyper parameters

I have a few financial variables of a stock universe like OHLC prices, volume, and other fundamentals with varying time-frequency. Using this set I'm creating an expression that gives the weights to ...
mea43's user avatar
  • 163
1 vote
2 answers
1k views

Howto Calculate An Error's Partial Derivative in ANN

This is a follow-on question from this post I made, "Multilayer Perceptron (Neural Network) for Time Series Prediction", a few months back. I'm constructing a feed-forward artificial neural network, ...
Nutritioustim's user avatar
14 votes
1 answer
8k views

Multilayer Perceptron (Neural Network) for Time Series Prediction

I have it in mind to build a Multilayer Perceptron for predicting financial time series. I understand the algorithm concepts (linear combiner, activation function, etc). But while trying to build the ...
Nutritioustim's user avatar