You will get Machine Learning Trading Consulting | Indicators, Strategy & ML

Alex J.Status: Offline
Alex J.

Let a pro handle the details

Buy Other AI & Machine Learning services from Alex, priced and ready to go.
Alex J.Status: Offline
Alex J.

Let a pro handle the details

Buy Other AI & Machine Learning services from Alex, priced and ready to go.

Project details

Machine learning trading consulting for indicators, strategies, and ML models on NinjaTrader 8.

You get up to a 120-minute call plus a 1-page written report with 3–5 prioritized recommendations. Bring a new idea, an existing indicator or strategy, or a model architecture. I assess feasibility, flag what matters, and give you clear, specific next steps.

I build and validate my own ML trading systems end to end, from the Python model to the live strategy, so feedback is grounded in real builds.

Delivered in 4 days.

If you want the system built rather than assessed, that's my 0-to-1 ML Trading Pipeline.
Tell me where you are and what you need.

Disclaimer: Software development and ML engineering services only. Nothing here is financial, investment, or trading advice, or a solicitation to buy or sell any instrument. I don't provide trade signals, manage accounts, or recommend any strategy be traded with real capital. Backtested and simulated results are hypothetical and don't represent actual trading. Futures and derivatives trading carries substantial risk of loss. You are solely responsible for any decision to deploy, modify, or trade the delivered code.
AI Development Type
Deep Learning, Model Tuning
AI Development Language
Python

What's included $250

These options are included with the project scope.

$250
  • Delivery Time 4 days
  • Number of Revisions 0

Frequently asked questions

Alex J.Status: Offline

About Alex

Alex J.Status: Offline
Machine Learning Developer for NinjaTrader 8 | Idea to Live Trading
Lakewood, United States - 2:54 pm local time
I specialize in machine learning trading systems for NinjaTrader 8. I develop the full pipeline, from the Python model to the strategy running live in NT8, and validate it against nonstationary market data.

I've built my own automated futures strategy in NinjaTrader 8: a deep learning model I designed, trained, and integrated end to end. Every system I deliver is built to that same standard.

How I work: I validate walk-forward on data the model never saw in training, then confirm performance holds across a separate window. If a strategy only looked good because it memorized the test period, that shows up in the results. I grade every build on how well it generalizes and report the numbers straight. I never sell a promised return. The market sets returns. I stand behind the rigor and a working system.

The NinjaTrader work sits on a broad foundation: end-to-end ML engineering, neural network design, unsupervised and supervised learning, and C# and Python systems. That same work applies well beyond trading. Data pipelines, feature engineering, model training, and deployment are the same craft in any domain. If you have a machine learning project with no connection to NinjaTrader, I can build that too.

Most of my hardest work has been on problems with no clear playbook. I'm a systems-level developer. I take an ambiguous goal, find the structure inside it, and turn it into something that runs. If your problem is hard to define or sits in an unusual domain, that is the kind of work I do best.

Core stack: Python, PyTorch, scikit-learn, NumPy, pandas, ONNX (opset-checked exports), C#, NinjaScript, NinjaTrader 8. Methods: walk-forward validation, feature engineering, unsupervised clustering, supervised neural networks, change-point and regime detection, strategy optimization, and precision-gated deployment.

If you have a strategy or indicator to turn into a working ML system in NinjaTrader 8, a machine learning project in another domain, or a problem needing systems-level solutions, send me the details and I'll scope what's possible.

Steps for completing your project

After purchasing the project, send requirements so Alex can start the project.

Delivery time starts when Alex receives requirements from you.

Alex works on your project following the steps below.

Revisions may occur after the delivery date.

Analyze: Kickoff Call

Up to a 120-minute call to review your goal, code, indicators, strategy, or model, and gather everything I need to work from.

Assess: Deep Dive

I dig into feasibility and your setup offline, pinpointing what matters and where the biggest improvements are.

Review the work, release payment, and leave feedback to Alex.