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Python Developer Needed to Build Automated Event Trading Bot (APIs + Prediction Markets)

111 USD

  1. 21190
     20  0

    5 days111 USD

    Good day, I am interested in your project. I would be happy to collaborate, please write to me in personal messages on the freelance platform for communication.

  2. 8193    63  1
    1 day445 USD

    Good day,

    I am ready to take on your project. I have extensive experience with Python and task automation. I will be able to integrate public event APIs, work with the Kalshi API, and create the necessary scripts for data retrieval, comparison, and trade simulation.

    My rate is $16 per hour. I am ready to start working when I receive additional details about the project and responsibilities.

    Arthur

  3. 316    1  0
    3 days111 USD

    Hello, I have extensive experience in web development using Python! Write to me in private to discuss.

  4. 172    1  1
    1 day111 USD

    Good day! I am ready to complete this project. Extensive experience in developing various applications.

  5. 2263    25  1
    2 days111 USD

    Good day, I have extensive experience working with Python, having worked with both APIs and models for analytics (we developed a trading bot for cryptocurrency trend analysis). I am interested in your project and would be happy to discuss the details! I can also provide examples of my work!

  6. 1738    9  0
    3 days111 USD

    Good day, I have experience working with Python as well as Telegram bots, I can complete everything quickly and efficiently, write to me and we will discuss the details.

  7. 58  
    5 days312 USD

    Hello, interesting project, ready to go through the interview. What exactly is needed to get there?

  8. 310    2  1
    82 days601 USD

    Hello!
    My name is Semen, I am the manager of the company Wanord. We specialize in Python development, integration with exchange/financial APIs, building trading bots, data pipelines, and analytical dashboards.

    📌 What is needed:
    Create an automated Python system that:

    receives real-time event data from a public JSON API;

    reads forecast market prices from Kalshi (quotes, order book);

    runs this data through the probability model you provide;

    executes paper trades according to specified rules with full logging;

    then transitions to live trading mode and obtains basic performance analysis tools for the strategy.
    The technical specification/task description is clear — we see this as a project implementation with clear stages.

    🔧 What we will do:

    Integration with the public event API
    We will connect to the JSON API (authorization, rate limits, retries), set up a stable real-time event feed.

    Integration with the Kalshi API
    We will obtain quotes and market data (prices, volumes, contract statuses) + prepare a layer for placing orders (initially in “dry-run” mode).

    Trading script / strategy core

    Obtaining current event data.

    Obtaining market prices from Kalshi.

    Comparing with the output of your probability model.

    Making decisions according to the rules you provide (entry/exit, position size, risk limits).

    Simulating trades (paper trading) with a complete history.

    Logging and data storage
    We will implement detailed logging: trades, signals, strategy state, API errors. Saving in CSV and/or database (e.g., PostgreSQL/SQLite) for further analysis.

    Live trading mode (later stage)
    After validating the results of paper trading, we will add a live mode with protection against incorrect signals, risk limits, and fallback scenarios.

    Performance analytics
    We will implement basic metrics: PnL, win rate, max drawdown, Sharpe-like ratios, periods where the model performs best/worst. We can add a simple web or notebook interface for reviewing results.

    NDA and technical test
    We are ready to work under an NDA and complete a small test (a function that pulls data from a public JSON API and parses fields) to confirm technical proficiency.

    💼 We have experience:
    Python scripts for high load, trading bots, integrations with REST/JSON APIs, processing financial data, logging, and building analytics (ETL pipelines, client dashboards, SaaS platforms).

    💰 Budget: from $5000 to $9000 (fixed price with phased payments)
    ⏱️ Timeline: 6–8 weeks, broken down into stages: integrations → paper trading → live mode + analytics.

    Ready to get started with

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Project published
6 months 22 days back
124 views
Tags
  • REST
  • API
  • python
  • Automation
  • Kalshi