21
0
Budget: 5000 UAH Deadline: 5 days
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.
63
1
Budget: 20000 UAH Deadline: 1 day
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
1
0
Budget: 5000 UAH Deadline: 3 days
Hello, I have extensive experience in web development using Python! Write to me in private to discuss.
1
1
Budget: 5000 UAH Deadline: 1 day
Good day! I am ready to complete this project. Extensive experience in developing various applications.
25
1
Budget: 5000 UAH Deadline: 2 days
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!
10
0
Budget: 5000 UAH Deadline: 3 days
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.
0
0
Budget: 14000 UAH Deadline: 5 days
Hello, interesting project, ready to go through the interview. What exactly is needed to get there?
2
1
Budget: 27000 UAH Deadline: 82 days
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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