Kalshi trabalhos

...Structure We will provide the content text as an attachment. You will design the visual layout of the slides. The presentation should look consistent, premium, and modern across all slides. Important Slides You Must Plan For Some slides require special layouts, so please design them accordingly. 1. Prediction Platform Comparison Slide This slide compares existing platforms such as: Polymarket Kalshi Robinhood prediction markets other prediction platforms Design requirement Create the slide by including the screenshots from these platforms (max 3) 2. Proven Demand Slide (TV Shows / SMS Voting) This slide explains that people already enjoy predicting outcomes. Examples mentioned: Big Brother TV shows with SMS voting other voting-based shows Design requirement Add t...

I'm seeking a developer to create a trade execution website for my linked Kalshi account. The site should be built with Python and include user authentication via email and password. Key Requirements: - Execute limit orders and specific trades (e.g., next team to score, team to win, etc.) - User authentication system (email and password) - Python-based development Ideal Skills: - Proficiency in Python - Experience with trade execution platforms - Strong knowledge of user authentication systems - Prior work on similar trading websites or applications

I have a working Python script that talks to the Kalshi prediction-market API, pulls live data, and fires off trades automatically through simple web-request helpers. Functionally it looks solid from my end, but I’m not a developer and would like an expert eye on it before I trust it with larger positions. The review should cover every critical angle—accuracy of the trading logic, efficiency of each call or loop, and robust error-handling so a bad response or network hiccup never leaves an order hanging. Because the script relies heavily on APIs and a small amount of web-scraping, please verify that authentication, rate-limit handling, and data parsing follow best practices and won’t put the account at risk. Deliverables • A line-by-line code review (comme...

I am seeking an experienced developer to build a high-speed trading bot for Kalshi. The ideal candidate should have hands-on experience with the Kalshi API, limit order execution, and automation of trades through Telegram or other platforms. Responsibilities: • Develop a reliable and fast trading bot for Kalshi markets • Implement limit orders and aggressive order execution strategies • Integrate the bot with Telegram or other interfaces for instant trade execution • Optimize performance to reduce latency in order execution Requirements: • Proven experience with Kalshi trading bots or similar platforms • Strong knowledge of trading APIs and limit order handling • Proficient in Python, Node.js, or relevant programming l...

I am building a real-time prediction-markets platform and need an experienced UI developer who is comfortable designing around a WebSocket-first architecture. The work starts with the foundation—authentication, database design, and a clean data pipeline that pulls live odds from Polymarket, Kalshi, and PredictIt via their public APIs. Once the back-end hooks are in place, the focus shifts to the core interface. I want a responsive dashboard that streams prices without page refreshes, surfaces immediate arbitrage opportunities (I’m primarily interested in price differences), and highlights unusually large trades. A lightweight whale tracker that flags outsized orders in near real-time will help users react quickly. Social engagement is equally important. The UI must l...

...experienced backend engineer to help build a real-time prediction market arbitrage bot that monitors and executes trades across Kalshi and Polymarket. The bot will: • Ingest live market data via REST & WebSocket APIs • Match equivalent events across platforms (e.g., elections, finance, crypto) • Detect arbitrage opportunities after fees and slippage • Execute trades safely using limit orders and risk controls • Provide monitoring, logging, and alerting This is a serious, production-grade project, not a simple bot. Experience with trading systems, order books, low-latency data processing, and risk management is required. Key Responsibilities • Integrate Kalshi & Polymarket APIs (market data + trading) • Implement event ma...

Create a standalone Windows GUI to facilitate monitoring and trading prediction contracts using the Kalshi API from a market-maker perspective. While active, the program should monitor selected markets for changes and trades that match user orders. On change, the program should open the market-specific trading screen in a new window. The API reference can be found at Use of the Python SDK is recommended. API key can be hard-coded in the program. Code must be provided with the finished product. Additional jobs to enhance the program's functionality are possible if the project goes well. See the attached PDF for the full project spec.

Create a standalone Windows GUI to facilitate monitoring and trading prediction contracts using the Kalshi API from a market-maker perspective. While active, the program should monitor selected markets for changes and trades that match user orders. On change, the program should open the market-specific trading screen in a new window. The API reference can be found at Use of the Python SDK is recommended. API key can be hard-coded in the program. Code must be provided with the finished product. Additional jobs to enhance the program's functionality are possible if the project goes well. See the attached PDF for the full project spec.

...practical, extends to Polymarket or Kalshi for cross-venue opportunities. The core requirement is clear: continuously scan quoted prices, detect profitable spreads in real time, and execute both legs fast enough to lock them in while managing balances and fees. I already have exchange keys ready for a test environment, so you can jump straight into coding. You’re free to choose any modern Python stack—ccxt, asyncio websockets, pandas/numpy, or your own lightweight wrappers—as long as the final program runs unattended on a VPS and exposes a simple JSON or CLI configuration for pairs, thresholds, and position sizing. Key points I need covered: • REST/WebSocket integration with Binance (mandatory) plus modular classes that let me plug in Polymarket or ...

I keep my trading dashboard in Excel and now want my Kalshi account balance to flow in automatically. The job is straightforward: write a self-contained VBA module that connects to the Kalshi REST API, authenticates with my API key, pulls the current account balance endpoint, and drops the figure (plus timestamp) into a sheet I’ll specify. Deliverables • Well-commented VBA code ready to paste into my workbook • Brief notes showing where to insert my key and sheet/range references • Proof it works via a sample call (screenshot or short Loom clip is enough) If you’ve handled API calls in Excel before, this should be quick. The documentation of how to do this using Python or Javascript is available at All I really need to do is do the

Project Description We run a high-frequency market-making bot on Kalshi (crypto hourly binary options). The bot receives a real-time target order book (c.TARGET_ORDER_BOOK) and must create, amend, or cancel resting orders to match it — as fast and reliably as possible. Your job: Build a rock-solid, async order placement engine that: Compares current open orders with the target book Sends CREATE / AMEND / CANCEL requests via aiohttp Persists order state (in-memory + JSON via safe_write_json) Respects Kalshi rate limits: Max 20 write operations per second Max 1 batch cancel per second Max 20 order IDs per batch Uses batched DELETE when ADVANCED_API = True Handles 404s, timeouts, and race conditions without spam or KeyError This is low-latency, high-stakes code — ...

Kalshi exposes a public REST API and I need a clean, repeatable way to harvest every piece of market data it makes available—contract metadata, price history, volume, open interest, settlement info, everything the endpoint can return. The raw calls are straightforward, but turning them into tidy, analysis-ready tables is where I’d like your help. Here’s what I expect: • A well-commented Python script (requests / urllib3 and, ideally, pandas) that authenticates if needed, paginates through all active and historical markets, and writes the output to CSV. • The resulting CSVs organised logically—e.g. , , —so I can drop them straight into my analytics pipeline. • A short README covering how to run the script, environment variables (AP...

...trades directly from Discord. On the web side I want a clean dashboard that visualises key numbers at a glance: Profit/Loss, Trade Volume, Win/Loss Ratio, and the specific market each trade belongs to. Basic account management and an activity log are required so I can audit every copied action. Core deliverables: • Copy-trading engine for Polymarket with modular design so additional venues (e.g. Kalshi, Augur, PredictIt) can be bolted on later. • Rule-based alert system tied to the copy engine. • Discord bot with trade alerts, user commands, and live trade execution capability. • Web dashboard (mobile-friendly) that streams Profit/Loss, Volume, Win/Loss Ratio, and Trade Market data in real time. I’m comfortable with modern stacks—Python ...

I need a service that sits on a server and watches live prices on Polymarket, Kalshi, and any other prediction-market feeds you can integrate. Every tick should be captured, normalised, and compared so the moment the combined implied probability for one event drops below 93 % the system recognises the spread, labels it as a ≥ 7 % arbitrage window, and acts. Core workflow • Stream prices in real time (sub-second latency where the APIs allow). • Match contracts that refer to the same underlying event, even when the phrasing differs. • Calculate the optimal combination of “Yes/No” or equivalent positions across platforms that locks in a guaranteed gain. • Immediately push a Telegram alert that shows: platform A side, platform B side, timestam...

I want to create a 30 second video ad, in the style of this commercial - - to promote the launch of a new product. The video should be entirely created using short, Veo3 video clips, and I can provide a full script. My estimate is it will take 12 Veo3 videos in total across 30 seconds, but I do want to leave some room for creative freedom. The new product let's users automate tasks with AI agents. I want the 30 second video ad to be people talking about the "things" in their life that they have automated using AI, but the "things" get increasingly funny and more ridiculous. The locations of the interviews will also be as over the top and funny as the answers themselves. Again -- see the video above for guidance as the concept of this ad. Here

I'm looking for a creative video editor to make a 30-second humorous video ad promoting our new AI automation product. The video should be styled similarly to this commercial: Requirements: - Use 12 short Veo3 video clips - Follow a provided script - Showcase people humorously discussing "things" they've automated with AI. The "things" should become increasingly funny and ridiculous. Ideal Skills: - Experience with video editing - Ability to create engaging, humorous content - Familiarity with Veo3 platform The video should be entirely created using short, Veo3 video clips, and I can provide a full script. My estimate is it will take 12 Veo3 videos in total across 30 seconds, but I do want to leave some room for creative freedom

I need exact (?) pairs of Polymarket and Kalshi bets that describe the same event. Requirements: - Bets should cover the same event - Provide URLs only - URLs should be in plain text Example: { name: 'CanadaElection', kalshi: '', polymarket: '' }, Ideal skills and experience: - Familiarity with Polymarket and Kalshi platforms - Ability to succinctly match event descriptions This can be from any event that exists on both. Note that it needs to be the same outcome/ timeframe as per oracle used.

I need an experienced developer for integrating automated trading functionalities with the Kalshi platform, specifically focused on implementing an arbitrage strategy. Key Responsibilities: - Integrate the API for automated trading with the Kalshi platform - Implement an arbitrage strategy - Utilize historical price data for identifying arbitrage opportunities Ideal Skills: - Proficient in API integration - Experienced in developing and implementing trading strategies, particularly arbitrage - Knowledgeable in utilizing historical price data for trading - Familiar with the Kalshi platform Please include relevant experience and examples of similar projects in your bid.

I'm looking for a skilled programmer to create a Python-based trading bot for Kalshi, a platform with an API. This bot should perform trades based on specific keywords from an RSS feed, and the keywords should be extracted from the title of each feed item. Key Skills: - Proficiency in Python. - Experience with API integration, ideally with the Kalshi platform. - Strong understanding of RSS feed parsing. - Previous experience building trading bots is a plus. The bot should work as follows: - Connect to the Kalshi API to execute trades. - Extract keywords only from the title of the RSS feed items. - Make trades based on the keywords found. The project's success will depend on the bot's ability to accurately interpret and act on the provided keyword info...