Trading

Constructing a Trading Strategy with Machine Learning Models and Yahoo Finance in Python.

import yfinance as yfimport pandas as pdfrom sklearn.model_selection import train_test_splitfrom sklearn.ensemble import RandomForestClassifierfrom sklearn.metrics import accuracy_scorefrom sklearn.pipeline import Pipelinefrom sklearn.impute import SimpleImputerimport matplotlib.pyplot as plt# Step 1: Data Collectionticker = "AAPL" start_date =...

Back-testing a Famous Trading Strategy

Back-testing the Moving Average Cross Strategy in TradingViewMoving averages may provide interesting trading strategies. This text back-test probably the most famous moving average strategy and shows find out how to code it in TradingView.For...

AI Trading Using ChatGPT Models in Python. Python Code example: Summary

AI trading has gained significant popularity in recent times, with advancements in natural language processing and machine learning. ChatGPT, a state-of-the-art language model, may be harnessed to generate trading signals and assist in making...

AI Trading Using ChatGPT Models in Python. Python Code example: Summary

AI trading has gained significant popularity lately, with advancements in natural language processing and machine learning. ChatGPT, a state-of-the-art language model, could be harnessed to generate trading signals and assist in making trading decisions....

Methods to Generate Strong Trading Signals Using a Easy Trick

Using the Moving Average Testing Ground TechniqueMoving averages may also have many trading techniques applied on them so as to generate directional signals. This text discusses a method called the testing ground which relies...

High Frequency Trading Is More Powerful Than Ever

The advancements of machine learning has left the world stunned, and no where is that more true than in HFT.Pretend for a moment that you simply’re a high frequency trader. Your job is to...

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