You will get custom Pine Script development for TradingView indicators or strategies

Let a pro handle the details

Buy Scripting services from Filipe, priced and ready to go.

Let a pro handle the details

Buy Scripting services from Filipe, priced and ready to go.

Project details

Hello! If you need help with Pine Script to create, edit, optimize, and test indicators and strategies on TradingView I can help.

With over 6 years of full-time experience and more than 10,000 hours dedicated to Pine Script, my goal is to provide clear communication, immediate support, fast delivery, and top-quality results.

What can I do for you on TradingView (Pine Script):

• Create custom indicators.
• Create custom strategies.
• Create custom screeners.
• Create custom tables.
• Combine multiple indicators into one.
• Add custom alerts.
• Convert indicators into strategies and vice versa.
• Add Buy/Sell labels and TP/SL.
• Add fixed or trailing exits (TP/SL, TLP/TLS) in %, pips, or ticks.
• Implement MTF without repainting.
• Fix repainting indicators.
• Add menus for automated alerts.
• Add risk and leverage menus.
• Add Linear Regression and Forecast.
• Create strategies with backtesting and positive mathematical expectancy.
• Create backtesting tables (P&L, Drawdown, Trades, Profit Factor).
• Automate alerts for your broker, Discord, Telegram, and other platforms.

Send me your idea and lets get started!
Programming Languages
Python
Coding Expertise
Performance Optimization, Design
What's included
Service Tiers Starter
$80
Standard
$180
Advanced
$280
Delivery Time 1 day 2 days 2 days
Number of Revisions
112
Install Script
Test Script
Task Automation

Frequently asked questions

Filipe S.Status: Offline

About Filipe

Filipe S.Status: Offline
Quantitative Developer: Research, Backtest and Deploy Trading Systems
Vila Velha, Brazil - 7:56 pm local time
I am a Quantitative Trading Research Engineer, specialized in the development, validation, and deployment of systematic trading strategies and institutional-grade investment systems.

My work focuses on transforming data-driven hypotheses into robust, production-ready trading models capable of surviving real market conditions — not just backtest performance.

I operate at the intersection of quantitative research, systematic investing, and trading systems engineering, covering the full development lifecycle: from alpha research and statistical modeling to automation, execution, and deployment in live trading environments.

My core expertise lies in systematic alpha generation through advanced statistical methods, machine learning, factor research, and time series analysis. Every model I build is designed with a strong focus on robustness, scalability, and real-world market viability.

To ensure institutional-quality standards, I apply rigorous validation frameworks, including walk-forward analysis, out-of-sample testing, Monte Carlo simulations, transaction cost modeling, slippage estimation, and market microstructure analysis. This ensures each strategy is tested against overfitting and evaluated under realistic execution conditions.

Beyond research, I develop complete Python-based trading infrastructures, enabling seamless integration between research, backtesting, execution, and live trading operations. My solutions are designed for automation, reliability, and performance in production environments.

Areas of expertise:

• Alpha research and signal generation.
• Systematic trading and algorithmic strategies.
• Statistical arbitrage and factor models.
• Machine learning applied to financial markets.
• Time series modeling and econometrics.
• Portfolio optimization and risk management.
• Execution systems and order flow modeling.
• Backtesting, walk-forward analysis, and robustness testing.
• Transaction cost and slippage modeling.
• Market microstructure analysis.

Technical stack:

Python, C++, SQL, Pandas, NumPy, Scikit-Learn, and quantitative research libraries for simulation and financial modeling.

I collaborate with traders, prop firms, hedge funds, asset managers, fintech companies, and independent operators seeking serious quantitative solutions — from research prototypes to fully automated trading systems.

I value precision, transparency, and data-driven decision-making. Every project is executed with institutional rigor, clear methodology, and full traceability of results.

I work under NDA, with direct communication and a strong focus on measurable, auditable, production-ready technical delivery.

If you are looking for a professional capable of building complete institutional-grade quantitative systems, I can directly contribute to your project.

Steps for completing your project

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

Delivery time starts when Filipe receives requirements from you.

Filipe works on your project following the steps below.

Revisions may occur after the delivery date.

Step 1 – Idea & Requirements

Concept of the trading system.

Step 2 – Development

Creating the Pine script.

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