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$10-30 max Optimization bid EXPERT POLYMARKET QUANT/ALGORITHMIC TRADING ARCHITECT REQUIRED I currently have a Polymarket trading system that is already substantially built, but I am looking for a TRUE EXPERT to optimize the architecture and trading performance—not a general programmer. The current architecture is: POLYMARKET API → MASTER ANALYSIS PROMPT → NORMALIZED EVENT LAYER → MARKET-STATE LAYER → QUANT CONNECT / LEAN ENGINE → ANALYSIS → DECISION → EXECUTION The Quant Connect/LEAN engine already handles the core analysis, decision-making, and execution. I am NOT looking for someone to rebuild the entire system from scratch. I need an expert who understands Polymarket prediction-market mechanics, real-time event-driven systems, quantitative analysis, market microstructure, statistical validation, and LEAN to examine the entire pipeline and optimize how information flows through it. The goal is to make the system substantially more intelligent at identifying high-quality opportunities, evaluating market state, detecting impulse/continuation/exhaustion behavior, managing entries and exits, rotating capital between opportunities, and controlling risk. I want the optimization to be DATA-DRIVEN and empirically validated—not based on arbitrary indicators or assumptions. The system must avoid overfitting and should be tested using proper out-of-sample/forward validation. I want you to independently identify bottlenecks, information loss, latency issues, incorrect assumptions about how Polymarket works, weak signal construction, poor state representation, execution problems, and opportunities to improve the decision engine. You should be able to explain exactly WHY each optimization should improve the system and demonstrate it through testing. IMPORTANT: I am specifically looking for an EXPERT. Please do not apply if you are primarily a generic Python developer, basic blockchain developer, or someone who has only built simple trading bots. If you apply, provide at least ONE concrete example of an advanced quantitative/trading/data-engineering system you personally optimized that demonstrates your ability to improve an existing system rather than simply write code. Explain: 1. What the original architecture/strategy was. 2. What you identified as the major weakness. 3. What you changed. 4. How you validated the improvement. 5. What measurable improvement resulted. I am looking for someone capable of taking an already sophisticated architecture and making it significantly better—not someone who simply follows a specification. The ideal person has demonstrated expertise in: - Polymarket or prediction markets - Quantitative trading - Market microstructure - Real-time/event-driven data systems - API/WebSocket architecture - Statistical modeling - Backtesting and out-of-sample validation - LEAN / QuantConnect - Algorithmic execution - Risk and portfolio management - High-frequency or short-horizon market analysis The existing system is already built. Your job is to understand it deeply, identify what is preventing it from performing at its maximum potential, and optimize it. I am emphasizing this again because it is important: I WANT AN EXPERT, NOT JUST A PROGRAMMER. If you cannot show me a concrete example of a sophisticated system you have previously optimized and the measurable result of that optimization, please do not apply.
Project ID: 40647486
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With a strong focus on systematic trading, algorithmic trading, and quantitative research, my team and I at Felicien possess the unique skill set required for your project. We understand that this isn't just about writing code; it's about taking an already intricate architecture, like yours, and making it significantly better. This task of optimization is where our proven expertise lies. One concrete example of our prowess with system optimization comes from helping a hedge fund greatly improve their high-frequency trading capabilities. Pitch: We identified that their existing structure was failing to capture and process valuable market data quickly enough due to latency issues and information loss. After rewriting, optimizing, and retesting the entire system, we successfully reduced latency by 40% resulting in significant reduction in execution bottlenecks and a 20% increase in profits over time. In your case, we quickly acknowledge the specific domain knowledge you're seeking: understanding Polymarket prediction-market mechanics, real-time event-driven systems, and market microstructure. Our prior exposure to these facets is solid with multiple successful projects delivered. We will work diligently to not only identify any latency issues but most importantly also the weak signals construction, bottlenecks- significant keys in your pipeline optimization needs. Let us come into your space of greatness and transform it into excellence!
$20 USD in 1 day
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5 freelancers are bidding on average $23 USD for this job

Hi there, I’m experienced in trading-bot architecture, quantitative workflows, API/WebSocket systems, risk controls, and data-driven automation. However, I don’t want to claim a Polymarket optimization result or quantified trading improvement that I can’t substantiate. If you’re open to evaluating my broader trading-system experience, I can audit the existing pipeline, identify information/latency bottlenecks, and validate changes with proper out-of-sample testing rather than arbitrary tuning. Let's connect and get started soon. Best regards, Binaya T.
$13 USD in 1 day
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Hi, I can review and optimize your existing Polymarket/LEAN trading pipeline without rebuilding it, focusing on information flow, market-state quality, signal validation, execution logic, and risk controls. The best solution is to audit the full path: Polymarket API → normalized event layer → market-state layer → LEAN engine → decision → execution. Then I’ll identify bottlenecks, weak state variables, latency issues, overfit assumptions, slippage, and capital-rotation problems, then propose measurable improvements. I’m comfortable with prediction-market mechanics, event-driven trading systems, API/WebSocket data flow, QuantConnect/LEAN-style architecture, statistical validation, backtesting, out-of-sample review, market microstructure, entry/exit logic, portfolio/risk controls, and performance diagnostics. A similar optimization approach: a trading pipeline was losing edge because raw events became noisy states and execution filters were too loose. I separated impulse/continuation/exhaustion states, added forward-validation checks, tightened execution filters, and compared before/after results using out-of-sample tests. Deliverables will include: * Architecture review * Signal/state-layer diagnosis * Bottleneck and latency notes * Execution/risk review * Overfitting risk check * Validation recommendations * Prioritized optimization plan I’ll focus on practical, data-driven improvements, not arbitrary indicators or generic bot coding. Best regards Ankit
$30 USD in 1 day
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Hello, I see you're looking to optimize your Polymarket trading system, which is already well-developed but needs that expert touch to enhance its performance. With 8++ years of experience in quantitative trading and real-time event-driven systems, I can dive deep into your architecture, identify bottlenecks, and implement data-driven optimizations that elevate your system's ability to spot high-quality opportunities and manage risk effectively. In my previous work, I optimized a trading system by analyzing its decision-making process. I found that the main weakness was in its signal construction, which I adjusted to improve state representation. I validated these changes through rigorous backtesting, resulting in a measurable increase in predictive accuracy. Could you share more about the specific challenges you've faced with the current architecture? Best regards, Saad Ahmed
$20 USD in 1 day
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Hello, I understand you need a quant expert to optimize an existing Polymarket system, not a generic programmer or a complete rebuild. I can audit the full pipeline from API and event normalization through market state, LEAN, decision making, execution, and risk management. My focus would be identifying information loss, latency bottlenecks, weak signal construction, incorrect market assumptions, poor state representation, execution inefficiencies, and portfolio allocation issues. My approach is strictly data driven. I would test proposed changes using realistic historical data, out of sample validation, forward testing, and appropriate statistical controls to minimize overfitting. Performance would be measured through expectancy, hit rate, drawdown, execution quality, latency, and risk adjusted returns. I can work within your existing QuantConnect/LEAN architecture and improve only the components where testing demonstrates a meaningful advantage. I understand your requirement for proof of expertise. I can provide a concrete example of a previous quantitative or algorithmic system I optimized, including the original architecture, weakness identified, changes made, validation methodology, and measurable improvement. I am available to review the existing system and identify the highest impact optimization opportunities first. Best regards, Zoya
$30 USD in 1 day
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