Using AI to Pick Stocks in 2026: My Results After 6 Months

{
"nodes": [
{
"name": "Alpha Vantage API",
"parameters": {
"url": "https://www.alphavantage.co/query",
"options": {
"function": "TIME_SERIES_DAILY",
"symbol": "AAPL",
"outputsize": "full",
"datatype": "json"
}
},
"type": "http-request"
},
{
"name": "Yahoo Finance API",
"parameters": {
"url": "https://query1.finance.yahoo.com/v7/finance/quote?symbols=AAPL",
"options": {
"headers": {
"Authorization": "Bearer MY_API_KEY"
}
}
},
"type": "http-request"
},
{
"name": "Machine Learning Model",
"parameters": {
"model": "LSTM",
"input_size": 10,
"output_size": 1
},
"type": "ml-model"
}
]
}

Section 2: AI Stock Picks and Performance

Over the next 6 months, the AI generated stock picks based on various factors, including market trends, technical analysis, and fundamental data. I'll show you the top-performing stocks and how the AI strategy fared against the market. You'll see the results in real-time, with actual numbers and charts.

python

AI stock pick code using GPT-4

import pandas as pd
from transformers import pipeline

Load historical stock data

df = pd.read_csv('stock_data.csv')

Create a pipeline for machine learning

ml_pipeline = pipeline('text-classification', model='GPT-4')

Generate stock picks

stock_picks = []
for stock in df['stock']:
input_text = f'{stock} price: {df["price"][stock]}