AiConda Documentation
  • Getting Started
    • 🐍Overview
  • Features
    • πŸ’»Main features
    • πŸ€–AI Agents
      • πŸ€–AI Agents
        • πŸ€–AI Agents
          • πŸ€–AI Agents
    • πŸ”§How it works
      • πŸ‘·β€β™‚οΈWorkflow for Trading and Analysis
      • πŸ”Security Features
    • πŸ’²Token Utility: The role of $CONDA
      • πŸ’²$CONDA Distribution
  • πŸ‘¨β€πŸ’»Aiconda sample code
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  • AiConda Code Implementation
  • Agents Example Code

Aiconda sample code

AiConda Code Implementation

Here’s an example of a private Aiconda API implementation in Python using Flask. This example showcases how to restrict access using API keys and validates user holdings of $CONDA tokens for exclusive access:

flask import Flask, request, jsonify

app = Flask(__name__)

# Mock database of API keys and $CONDA balances
authorized_keys = {
    "user_1": {"api_key": "abc123key", "conda_balance": 100},
    "user_2": {"api_key": "def456key", "conda_balance": 50}
}

# Minimum $CONDA balance required for private access
MIN_CONDA_BALANCE = 50

def authenticate(api_key):
    """Authenticate the API key and check $CONDA balance."""
    for user, details in authorized_keys.items():
        if details["api_key"] == api_key:
            if details["conda_balance"] >= MIN_CONDA_BALANCE:
                return True, user
            return False, "Insufficient $CONDA balance"
    return False, "Invalid API key"

@app.route('/private/market/insights', methods=['GET'])
def market_insights():
    """Private endpoint to fetch market insights."""
    api_key = request.headers.get('Authorization')
    if not api_key:
        return jsonify({"error": "API key is required"}), 401

    is_authenticated, message = authenticate(api_key)
    if is_authenticated:
        # Mock market data
        data = {
            "pair": "SOL/USDT",
            "price": 22.5,
            "volume": 10500,
            "trend": "bullish"
        }
        return jsonify({"user": message, "market_data": data})
    else:
        return jsonify({"error": message}), 403

@app.route('/private/wallet/balance', methods=['GET'])
def wallet_balance():
    """Private endpoint to fetch user wallet balance."""
    api_key = request.headers.get('Authorization')
    if not api_key:
        return jsonify({"error": "API key is required"}), 401

    is_authenticated, user = authenticate(api_key)
    if is_authenticated:
        user_data = authorized_keys[user]
        return jsonify({"user": user, "conda_balance": user_data["conda_balance"]})
    else:
        return jsonify({"error": user}), 403

if __name__ == '__main__':
    app.run(debug=True)

Endpoints

  1. Market Insights: GET /private/market/insights

    • Header: Authorization: <API_KEY>

    • Response:

      {
          "user": "user_1",
          "market_data": {
              "pair": "SOL/USDT",
              "price": 22.5,
              "volume": 10500,
              "trend": "bullish"
          }
      }
  2. Wallet Balance: GET /private/wallet/balance

    • Header: Authorization: <API_KEY>

    • Response:

      jsonCopy code{
          "user": "user_1",
          "conda_balance": 100
      }

1. Fetch Market Insights Retrieve market data for analysis:

bashCopy codeGET /market/insights
Host: https://api.aiconda.com
Authorization: Bearer <your_api_key>

Response:

jsonCopy code{
  "pair": "SOL/USDT",
  "price": 22.5,
  "volume": 10500,
  "trend": "bullish"
}

2. Execute a Trade Submit a trade order:

bashCopy codePOST /trade/execute
Host: https://api.aiconda.com
Authorization: Bearer <your_api_key>
Content-Type: application/json

{
  "pair": "SOL/USDT",
  "action": "buy",
  "amount": 10
}

Response:

jsonCopy code{
  "status": "success",
  "transaction_id": "12345abcde",
  "price": 22.5,
  "amount": 10
}

Agents Example Code

CondaX (Ecosystem Manager)

CondaX is responsible for ensuring the Aiconda ecosystem runs smoothly by managing resources and coordinating agents.

class CondaX {
  private role: string;

  constructor(public name: string) {
    this.role = "Ecosystem Manager";
  }

  log(message: string): void {
    console.log(`[${this.name}] ${message}`);
  }

  checkAgentStatus(): void {
    // Simulated agent statuses
    const agentsStatus = {
      "Boa-Y": "active",
      Eunectes: "idle",
      "CobraZ-1": "active",
    };
    this.log(`Agent Status: ${JSON.stringify(agentsStatus)}`);
  }

  allocateResources(): void {
    this.log("Resources allocated to active agents.");
  }

  run(): void {
    this.log("CondaX is monitoring the ecosystem...");
    this.checkAgentStatus();
    this.allocateResources();
  }
}

const condax = new CondaX("CondaX");
condax.run();

Boa-Y (Social Sentiment Tracker)

Boa-Y analyzes social sentiment data to detect trends and emerging tokens.

class BoaY {
  private role: string;

  constructor(public name: string) {
    this.role = "Social Sentiment Tracker";
  }

  log(message: string): void {
    console.log(`[${this.name}] ${message}`);
  }

  fetchSocialData(): string[] {
    // Mock social media data
    return ["$SOL is mooning!", "$CONDA looks promising!", "Bearish on $BTC."];
  }

  identifyTrendingTokens(data: string[]): Record<string, number> {
    const tokens = ["$SOL", "$CONDA", "$BTC"];
    const trends: Record<string, number> = {};

    tokens.forEach((token) => {
      trends[token] = data.filter((mention) => mention.includes(token)).length;
    });

    return trends;
  }

  run(): void {
    this.log("Boa-Y is analyzing social sentiment...");
    const sentimentData = this.fetchSocialData();
    const trendingTokens = this.identifyTrendingTokens(sentimentData);
    this.log(`Trending Tokens: ${JSON.stringify(trendingTokens)}`);
  }
}

const boaY = new BoaY("Boa-Y");
boaY.run();

Eunectes (Market Analyst)

Eunectes provides highly analytical, data-driven insights for trading decisions.

class Eunectes {
  private role: string;

  constructor(public name: string) {
    this.role = "Market Analyst";
  }

  log(message: string): void {
    console.log(`[${this.name}] ${message}`);
  }

  getMarketData(): Record<string, { price: number; volume: number }> {
    return {
      "SOL/USDT": { price: 22.5, volume: 10500 },
      "BTC/USDT": { price: 40000, volume: 30000 },
    };
  }

  generateTradingSignals(data: Record<string, { price: number; volume: number }>): Record<string, string> {
    const signals: Record<string, string> = {};
    for (const pair in data) {
      const { price } = data[pair];
      signals[pair] = price < 25 ? "Buy" : "Hold";
    }
    return signals;
  }

  run(): void {
    this.log("Eunectes is analyzing market data...");
    const marketData = this.getMarketData();
    const signals = this.generateTradingSignals(marketData);
    this.log(`Trading Signals: ${JSON.stringify(signals)}`);
  }
}

const eunectes = new Eunectes("Eunectes");
eunectes.run();

CobraZ-1 (Autonomous Trader)

CobraZ-1 executes trades based on real-time data and predefined strategies.

class CobraZ1 {
  private role: string;

  constructor(public name: string) {
    this.role = "Autonomous Trader";
  }

  log(message: string): void {
    console.log(`[${this.name}] ${message}`);
  }

  getTradingStrategy(): { pair: string; action: string; amount: number; priceLimit: number } {
    return {
      pair: "SOL/USDT",
      action: "buy",
      amount: 10,
      priceLimit: 23,
    };
  }

  executeTrade(strategy: { pair: string; action: string; amount: number; priceLimit: number }): string {
    const currentPrice = 22.5;
    if (strategy.action === "buy" && currentPrice <= strategy.priceLimit) {
      return `Trade successful: Bought ${strategy.amount} of ${strategy.pair} at ${currentPrice}`;
    }
    return "Trade failed: Price limit not met.";
  }

  run(): void {
    this.log("CobraZ-1 is executing trades...");
    const strategy = this.getTradingStrategy();
    const result = this.executeTrade(strategy);
    this.log(result);
  }
}

const cobraZ1 = new CobraZ1("CobraZ-1");
cobraZ1.run();

Previous$CONDA Distribution

Last updated 3 months ago

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