Freelancer.com API

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        "description": "I need a clean, production-ready Python solution that trades automatically using a simple 9-period EMA + VWAP strategy. The script must:\n\n• Stream live market data, calculate the indicators in real time, and act instantly on the signals it generates.  \n• Place, modify, and cancel orders through my broker’s REST API without manual intervention.  \n• Run reliably inside an AWS environment (EC2 or Lambda). Environment variables should hold all keys and secrets, and logging must write to CloudWatch for easy monitoring.  \n\nPlease structure the code for easy maintenance: clear functions, comments, an",
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        "description": "I need a lean MVP that automatically hunts for conversations where my web app can be mentioned in a helpful, brand-building way. The workflow is straightforward:\n\n1. Crawler  \n   • Scan Reddit plus Google News (blogs and articles surfaced).  \n   • Harvest threads and comments.  \n\n2. AI Scoring  \n   • Rank each conversation primarily on its relevance to the app and the overall popularity of the post or thread.  \n   • Ignore low-signal chatter; keep only high-potential mentions.  \n\n3. Drafting Replies  \n   • Use an LLM to generate a concise, promotional reply that feels organic and value-adding,",
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        "description": "I'm seeking an expert in predictive modeling to develop a point spread prediction model for NFL games. This model will be crucial for making informed betting decisions.\n\nKey Requirements:\n- Develop a statistical model to predict point spreads\n- Use historical data and advanced algorithms\n- Provide clear documentation and usage guidelines\n\nIdeal Skills and Experience:\n- Strong background in statistics and machine learning\n- Experience with sports data, especially NFL\n- Proficiency in Python, R, or similar programming languages\n- Ability to deliver within a month",
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