You will get end-to-end trading infrastructure: bot, data, execution
Project details
I design and run complete trading infrastructure for my own systems and for private clients: market data pipelines (historical and live), feature engineering, strategy logic, machine-learning tuning, broker execution (Interactive Brokers, prop firm platforms), risk controls, monitoring, and deployment as always-on services. I will build yours end to end or take over any piece of it: a bot from your written rules, a data pipeline, a backtesting stack, a dashboard, or the glue between your strategy and your broker. Everything is validated before it touches a live account: realistic costs, walk-forward testing, and honest reporting. I do not sell profit promises; I build the machine and tell you the truth about what it shows.
Machine Learning Tools
NumPy, pandas, Python, PyTorch, scikit-learn, SciPy, SQLWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$4,000
|
Advanced
$8,000
|
|---|---|---|---|
| Delivery Time | 14 days | 30 days | 45 days |
Number of Revisions | 1 | 2 | 2 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$400 - $2,000Frequently asked questions
About Charles
Quant, Web & Desktop Developer | Trading Bots, Python, ML, C++
Montbeliard, France - 9:49 pm local time
I am the founder of SCS (scstudies), an independent trading software company. I designed and shipped a dozen commercial trading tools in C++ for the Sierra Chart platform, two Windows desktop applications, and the fully automated store that sells and delivers them, from Stripe checkout to instant activation on the customer's account. I run the entire stack alone, from low-level C++ to the web front end, so I understand a project from the trading logic all the way down to deployment and support.
What I do best:
- Algorithmic trading bots: order flow strategies on futures, and systems that exploit market maker hedging between options and futures (gamma exposure).
- Machine learning strategies: parameter tuning and model selection with Optuna, walk-forward validation, and honest out-of-sample testing (no curve fitting).
- Backtesting and research: turning a raw idea into a quantified, testable strategy with clear performance metrics.
- Systems for small caps and micro caps, and broker or platform integrations (Interactive Brokers, Sierra Chart, TradingView).
- Sierra Chart custom studies (ACSIL / C++): indicators, order entry, risk and position sizing tools.
Beyond trading, I also deliver:
- Windows desktop applications (Electron and C++), including installers, code signing, and auto-update.
- Full-stack web applications (Next.js, TypeScript, PostgreSQL, Stripe), from landing page to production.
- Data extraction and ETL pipelines for market data (historical downloads, live feeds, cleaning and storage).
How I work: every project starts with a short scoping call and a custom quote, so you know the cost and scope up front. From there I handle development, backtesting, optimization, and deployment to live trading, with clear updates along the way. I write clean, maintainable code and I document what I hand over.
I care about correctness and honesty in results. In trading especially, that means realistic assumptions, proper validation, and telling you plainly when an idea does not hold up, rather than selling a curve-fitted backtest.
If you have a trading strategy to automate, a bot to improve, or a tool to build around your workflow, send me a message with a few lines about your goal and I will tell you how I would approach it.
Steps for completing your project
After purchasing the project, send requirements so Charles can start the project.
Delivery time starts when Charles receives requirements from you.
Charles works on your project following the steps below.
Revisions may occur after the delivery date.
Strategy scoping
I review your rules or component spec, flag unrealistic assumptions up front, and lock the scope and milestones.
Architecture validation
You approve the data flow, broker integration and deployment plan before the build.