Finance

QMetrics: Financial Behavior Insights and Optimization

Analyze quantum bitstring probabilities and provide optimization recommendations for financial advisors using AI-driven insights.

post

/qmetrics/finance

Body

walletAddressstringrequired

Client's Ethereum wallet address for analysis.

Example: 0xabcdef1234567890abcdef1234567890abcdef12

shotsinteger

Number of shots for quantum simulation (higher for more precise results).

Example: 1024

quantumBackendstring · enum

Quantum backend to use ('aer' for local simulation, 'ibm' for IBM runtime).

Example: aer

Options: aer, ibm

chainsstring[]

Example: ["ethereum","polygon"]

tokenMapobject

Mapping of chain names to CoinGecko token IDs for price data.

Example: {"ethereum":"ethereum","polygon":"matic-network"}

Responses

application/json

application/json

application/json

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://q.idefi.ai/qmetrics/finance' \
  --header 'Content-Type: application/json' \
  --data '{
    "walletAddress": "0xabcdef1234567890abcdef1234567890abcdef12",
    "shots": 1024,
    "quantumBackend": "aer",
    "chains": [
      "ethereum",
      "polygon"
    ],
    "tokenMap": {
      "ethereum": "ethereum",
      "polygon": "matic-network"
    }
  }'

200

400

401

200

{
  "wallet_address": "0xabcdef1234567890abcdef1234567890abcdef12",
  "quantum_backend": "aer",
  "total_balance_usd": 15000.32,
  "quantum_results": {
    "histogram": "iVBORw0KGgoAAAANSUhEUgAAA...",
    "analysis": "The AI analysis shows that 35% of the client's interactions reflect conservative portfolio adjustments. Engagement with speculative assets is minimal, indicating a preference for stability during market volatility.",
    "probabilities": {
      "100": 0.1,
      "101": 0.05,
      "110": 0.03,
      "111": 0.02,
      "000": 0.35,
      "001": 0.2,
      "010": 0.15,
      "011": 0.1
    },
    "mapped_results": {
      "100": {
        "probability": 0.1,
        "behavior": "Client prefers income-generating assets like dividend ETFs."
      },
      "101": {
        "probability": 0.05,
        "behavior": "Client increased cash reserves to reduce exposure."
      },
      "110": {
        "probability": 0.03,
        "behavior": "Client explored ESG-compliant funds."
      },
      "111": {
        "probability": 0.02,
        "behavior": "Client displayed unexpected engagement with speculative assets."
      },
      "000": {
        "probability": 0.35,
        "behavior": "Client prefers low-risk portfolio optimizations."
      },
      "001": {
        "probability": 0.2,
        "behavior": "Client expressed interest in balanced growth assets."
      },
      "010": {
        "probability": 0.15,
        "behavior": "Client adjusted holdings after a market correction."
      },
      "011": {
        "probability": 0.1,
        "behavior": "Client requested tax-loss harvesting information."
      }
    }
  }
}

Successful analysis of quantum bitstring probabilities with AI-driven optimization insights.