You will get a custom trading strategy, backtested and risk-controlled
Project details
You will get a fully automated, rules-based trading system built and validated to institutional standards, not a fragile script.
I have spent ~5 years independently designing, building and running automated systematic strategies on real capital, end to end: machine-learning market-regime classification, regime-conditional logic, risk-first position sizing, and automated multi-venue execution. I own the full pipeline; research, validation, risk, execution.
What sets this apart is the validation discipline. Walk-forward training, strictly out-of-sample testing, realistic transaction-cost and funding modelling, slippage-conservative fills, and statistical alerts that flag when live behaviour drifts from the backtest. Most "trading bots" skip this. It is the difference between a curve that looks good and a system that survives live markets.
Strong Python foundation (pandas/NumPy), exchange API integration, and deep practical focus on overfitting control and risk discipline. I build your system, on your data and constraints. Clearly scoped, fully documented, and yours to own.
I have spent ~5 years independently designing, building and running automated systematic strategies on real capital, end to end: machine-learning market-regime classification, regime-conditional logic, risk-first position sizing, and automated multi-venue execution. I own the full pipeline; research, validation, risk, execution.
What sets this apart is the validation discipline. Walk-forward training, strictly out-of-sample testing, realistic transaction-cost and funding modelling, slippage-conservative fills, and statistical alerts that flag when live behaviour drifts from the backtest. Most "trading bots" skip this. It is the difference between a curve that looks good and a system that survives live markets.
Strong Python foundation (pandas/NumPy), exchange API integration, and deep practical focus on overfitting control and risk discipline. I build your system, on your data and constraints. Clearly scoped, fully documented, and yours to own.
Machine Learning Tools
Azure Machine Learning, deeplearn.js, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$400
|
Standard
$900
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 7 days | 21 days | 45 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150 - $900
Additional Revision
+$150
Additional Scenario
(+ 2 Days)
+$200
Additional Graph/Chart
(+ 1 Day)
+$50
Model Documentation
(+ 2 Days)
+$200
Data Source Connectivity
(+ 3 Days)
+$300Frequently asked questions
About Mick
Quant Strategy Developer | Python | Pine Script
Amsterdam, Netherlands - 9:54 pm local time
For ~5 years I've independently designed, built and run automated systematic strategies on real capital, end to end: machine-learning market-regime classification, regime-conditional strategy logic, risk-first position sizing, and automated exchange execution. I own the full pipeline: research, validation, risk, and execution.
What sets my work apart is validation discipline. Walk-forward training, strictly out-of-sample testing, realistic transaction-cost and funding modelling, slippage-conservative fills, and statistical alerts that catch when live behaviour drifts from the backtest. Most "trading bots" skip all of this, it's the difference between a curve that looks good and a system that holds up with real money.
Core stack: Python (pandas / NumPy), automated trading systems, exchange API integration, and robust backtesting methodology with a deep focus on overfitting control and risk management. Strongest in crypto derivatives (perpetual futures); the same framework generalises to other liquid markets such as FX. I also build custom TradingView/Pine Script strategies and indicators when that's the right tool for the job.
I'll always tell you honestly whether your idea is feasible and where its weaknesses are. If you want a developer who treats risk and validation as seriously as returns, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Mick can start the project.
Delivery time starts when Mick receives requirements from you.
Mick works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & scope
Review your requirements, data and objectives. Confirm markets, constraints and deliverables in writing before any build.
Research & strategy design
Build the strategy logic and, where relevant, regime classification. Define the rule set and risk parameters.