curl --request POST \
  --url https://api.noonum.ai/v1/strategies/{strategyId}/optimized-portfolio \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "companyIds": [
    "<string>"
  ]
}
'

import requests

url = "https://api.noonum.ai/v1/strategies/{strategyId}/optimized-portfolio"

payload = { "companyIds": ["<string>"] }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({companyIds: ['<string>']})
};

fetch('https://api.noonum.ai/v1/strategies/{strategyId}/optimized-portfolio', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.noonum.ai/v1/strategies/{strategyId}/optimized-portfolio"

	payload := strings.NewReader("{\n  \"companyIds\": [\n    \"<string>\"\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

{
  "metadata": {
    "numberStocks": 50,
    "weightedLinguisticBeta": 0.12,
    "marketBuzzCoverage": 25.4,
    "annualizedReturn": 0.18,
    "volatility": 0.09,
    "cvar": 0.2,
    "sharpeRatio": 1.5,
    "expectedDailyReturn": 0.001,
    "maxDrawdown": -0.25
  },
  "portfolio": [
    {
      "id": "b544d95b-43a6-4a50-a326-90552b05c551",
      "symbol": "TSLA",
      "name": "Tesla, Inc.",
      "isin": "US88160R1014",
      "exchange": "NASDAQ",
      "market": "us",
      "sector": "Consumer Cyclical",
      "industry": "Auto - Manufacturers",
      "marketCap": 902298200000,
      "volAvg": 1250000,
      "linguisticBeta": 0.12002,
      "marketBuzz": 0.406,
      "active": true,
      "weight": 0.035,
      "figi": "BBG000N9MNX3",
      "mic": "XNAS",
      "reasoning": "<string>",
      "convictionScore": 0.75
    }
  ]
}