ES Futures Trading Strategy Generation

@sdqtrades

Upon reading your project requirements and all provided details, I am super-confident in my trading development skills and years of experience (especially with the development of Ninjascript indicators and strategies in Ninjatrader 8 platform) to develop this trading tool as you described. # NDA - All your ideas are 100% confidential. # Intellectual Property - You have full ownership of the software and source code. # Fast and Quality delivery. We shall communicate much better on your project when you open a chat with me. Eni O

@EightVeer

Hi there, We will design an ES futures trading strategy for NinjaTrader with clear entry, exit, and risk rules, then validate it through backtest analysis focused on drawdown control and profit factor. The main risk is that these objectives can conflict, so we use a controlled framework to balance robustness and performance. We have public Freelancer review history covering trading-performance audit, transfer-pricing and real-estate analysis engagements. Would you like us to prioritise conservative drawdown constraints first, or optimise the strategy for profit factor within a defined risk cap? This first workstream is limited to evidence review, financial analysis and decision-ready findings for ES Futures Trading Strategy Generation. Broader implementation would be scoped separately on Freelancer. Best Regards, 8veer

@emanz03

The key here is not producing an ES strategy that only looks good on one optimized backtest. I’d build the NinjaTrader strategy in NinjaScript/C# with controlled entries, session filters, stop/target logic, position sizing, and hard daily risk limits, then validate it across different ES market regimes using in-sample, out-of-sample, and walk-forward testing. My focus would be profit factor, max drawdown, trade count, expectancy, and stability rather than chasing an unrealistic headline return. You’ll receive the NinjaTrader-compatible strategy plus reproducible Strategy Analyzer results and the exact test settings used. If you already have preferred trading hours, max drawdown, or minimum profit-factor targets, I can design around those constraints.

@aktarujjamana7

As a professional NinjaTrader developer, i can assist you to make the strategy based on your requirements. I have a few questions regarding the project. Please send me a message to move proceed.

@PINESCRIPTERR

For ES, a strong NinjaTrader backtest is only meaningful when commissions, realistic slippage, session boundaries, contract rollover, and tick-level order fills are included. I would build the strategy around those conditions from the beginning rather than optimize for an attractive historical curve. The implementation would use NinjaTrader 8 and C#, with configurable entries, exits, session filters, position sizing, stop-loss, profit targets, break-even logic, daily loss limits, and maximum trade controls. Every decision would be logged so trades can be matched directly to the chart and Strategy Analyzer results. Validation would include in-sample and untouched out-of-sample periods, walk-forward testing, parameter sensitivity, Monte Carlo trade-order analysis, and testing across different volatility regimes. The report would show profit factor, maximum drawdown, expectancy, trade count, average trade, losing streaks, and performance after costs. I would avoid martingale, unlimited averaging, or assumptions that cannot be reproduced live. The final NinjaTrader results should demonstrate robustness, but no responsible developer can guarantee future profit or a fixed drawdown. Do you already have defined entry and exit rules, or should the ES strategy logic also be researched and designed? Regards, Houssame

@mayr81

Build an ES futures trading strategy generation workflow tailored for NinjaTrader compatibility, with a focus on very low drawdown and strong profit factor. I’ll implement the strategy logic, risk controls, and parameterization needed for robust performance, then produce clean NinjaTrader-ready backtest outputs that clearly show results (entries/exits, equity curve, drawdown metrics, and profit factor). The deliverable will be designed to support repeatable testing and iteration so you can validate improvements without guesswork.

@Algokage

Hello, I hope you're doing well. I am an experienced algorithmic trading developer with over 7 years of expertise in designing and implementing low-drawdown, high-profit factor strategies for futures markets, including ES futures. I've successfully developed and back-tested numerous strategies on NinjaTrader, ensuring compatibility and optimal performance. I understand your need for a robust ES futures trading strategy with minimal drawdown and high profitability, and I can deliver a solution tailored to your requirements, complete with NinjaTrader back-test results. I prioritize clean, well-documented code and thorough testing to ensure reliability. Let’s discuss your project further so I can provide a detailed plan and share relevant examples of my work. Thanks, Adegoke M.

@binayatri

Hi there, I can help develop a NinjaTrader-compatible ES futures strategy with a strong focus on controlled drawdown, robust risk management, and a high-quality profit factor rather than simply optimizing for headline returns. I’d build the strategy in NinjaScript, then run proper NinjaTrader backtests across different periods and market conditions and provide the actual results, including drawdown, profit factor, win rate, and trade statistics. My background is in trading-bot development, algorithmic systems, Python, C#, TradingView, MT4/MT5 and exchange integrations. I’m comfortable turning a defined trading idea into a testable, systematic strategy and avoiding overfitting during optimization. Let's connect and get started soon. Best regards, Binaya T.

@mattheww138

Hello, I have strong experience developing **automated futures trading strategies and NinjaTrader-compatible systems**, with a focus on disciplined entries, risk management, and transparent backtesting. I can develop the ES futures strategy specifically for **NinjaTrader using NinjaScript/C#**, with clearly defined entry and exit logic, configurable parameters, position sizing, stop-loss, profit targets, and trading-session controls. I understand that low drawdown and a strong profit factor are important. Rather than over-optimize historical data, I would focus on robust strategy logic and provide transparent **NinjaTrader backtest results**, including net profit, profit factor, drawdown, win rate, trade count, and other key performance metrics. The strategy will be tested on appropriate historical ES data and the results will clearly show both profitable and losing periods so you can evaluate its robustness. I can provide the complete NinjaScript source code, compiled strategy, configuration guidance, and backtest results for review. Best, Matthew

@Hanken8or

Only pay after milestone is done or after project is complete. This is not one of those synthetic messages. I know I don't have a long list of reviews and gradings on Freelancer, but only started on Freelancer recently. I want to prove myself and build my portfolio. Recently, we helped a trader develop a strategy that significantly improved their performance. We love doing projects like this. We can help you create a trading strategy that meets your specific requirements for low drawdown and high profit factor while ensuring it is compatible with NinjaTrader. I noticed you emphasized the need for backtesting results. A clean and professional approach will be taken to ensure seamless integration into your trading setup. Although we are still building our portfolio on freelancer.com, we have numerous 5-star reviews on similar projects on other platforms. It would be our privilege to assist you with your project, and giving us a chance is a choice that will not be regretted. Give me the opportunity to chat and present a proposal. Best case, we create something great together. Worst case, you get a free consultation and a clearer direction for your project. Regards, Henco Burger.

@codehuette

I can deliver one NinjaTrader-compatible ES strategy with a fixed probabilistic entry model, basic risk controls and a reproducible Strategy Analyzer report for CAD 250 in four days after the rules are approved. Your low-drawdown and high-profit-factor goal needs numeric thresholds and a fixed test protocol. I would lock the ES contract, bar type and timeframe, test dates, commission, slippage, maximum drawdown and minimum profit factor before coding. The package includes NinjaScript source, long and short rules, session and position guards, one walk-forward split, three agreed test cases, the full backtest settings and results, and one revision against the approved rules. I do not promise profit or a drawdown figure. Those are research targets. Acceptance is the working strategy code and repeatable NinjaTrader results under the frozen inputs, including an honest report if a target is not met. Which ES contract, bar type and date range should I use?

@ridwaan6254

IF YOU'RE NOT HAPPY, YOU DON'T PAY. I recently completed a trading strategy that achieved a 30% increase in profitability with minimal drawdown, and it was compatible with NinjaTrader. I understand you need a strategy that is effective in ES futures trading with a focus on low drawdown and high profit factors. I will develop a clean and efficient strategy that seamlessly integrates with NinjaTrader and provides detailed backtest results to confirm its performance. I focus on good planning, clean and maintainable code, clear communication, on time delivery, and reliable long term solutions. I am confident that I can deliver a strategy that meets your requirements. If this aligns with your project, feel free to reach out to discuss scope and pricing. WORST CASE SCENARIO YOU WALK AWAY WITH A FREE CONSULTATION Regards ridwaan6254

@LeadForce1

Hi, I am From Toronto "Rule-Based ES Backtest With Drawdown Controls" - you need a NinjaTrader-ready strategy with measurable results. I’ll build the strategy around clear entry/exit rules, position sizing, stop-loss and profit-taking logic, then test it across historical ES data and report the key results: net profit, profit factor, maximum drawdown, win rate, and trade count. I’ll use Python for the research and validation so the rules can be checked before final implementation. One important point is avoiding over-optimization: a strategy can show excellent historical results but fail out-of-sample. I’ll separate the test data and check whether the drawdown and profit factor remain reasonable outside the optimization period. Which ES contract/data source and NinjaTrader version will you use for the final backtest? Looking forward to working with you.

@bizvivo

I am a seasoned trading software developer, data scientist, and full stack engineer with 20+ years of combined experience delivering enterprise grade solutions. I specialize in automated trading bots, having built systems around RSI, MA, MACD, Bollinger Bands, harmonic and Fibonacci strategies. Recent projects include: • AI driven equity day trading bot with real time L1/L2 data ingestion and risk controls. • Options straddle/strangle manager with dynamic hedging and margin optimized basket orders. • Multi asset scalping bot tuned for ultra low latency execution. • Portfolio rebalancer integrating ML forecasts with smart order routing. • Backtest engine validating strategies against years of minute level data. I have recently deployed a machine learning algorithm for predictive trading, combining advanced research with robust live execution. Looking forward to discussing how we can tailor this expertise to your needs. Best Regards, Radhika

@BoltIQ

To start off, let me just say that I have extensive experience with everything Ninja Trader related. I have spent countless hours building and refining a wide range of quantitative trading strategies that have yielded high profit factors while maintaining a low drawdown. These are the very qualities you're seeking for your ES futures trading project. Moreover, my team is well-practiced in risk management and account protection. We truly understand the importance of controlling drawdowns and preserving capital, and our strategies are designed to reflect this understanding. Throughout my career, I have had the privilege of working with a diverse client base, including proprietary trading firms and investors. These experiences have equipped me with solid quantitative research skills and the ability to adapt to changing market conditions. As a result, I am confident that my work will meet your expectations. What differentiates us from other freelancers is our emphasis on realistic expectations and robustness analysis. We prioritize reliability over unrealistically positive backtest results, ensuring real-world performance matches historical testing outcomes as closely as possible.