You will get TradingView alerts automated for your broker, Discord, or Telegram

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!

I turn your TradingView alerts into real automated executions, with professional infrastructure, high reliability, and direct integration with brokers, Discord, Telegram, and external platforms.

This is a specialized alert automation service aimed at traders who require precise execution, robust architecture, and advanced solutions from assisted trading models to fully automated operations.

How can I help you?

• Automate alerts to your broker, Discord, Telegram, and other platforms
• Execute automatic orders: buy, sell, TP, SL, TLP, TLS, and others
• Build custom messages for your JSON alerts
• Semi-automated or fully automated execution
• Professional and scalable architecture
• High reliability and low latency
• Custom-built solutions, not generic ones
• Clean, secure, and private code

Crypto Brokers:

Binance
ByBit
Coinbase
Deribit
OKX
MEXC
BingX
Hyperliquid
Phemex
Bitget
KuCoin
Bitfinex
Gate.io
BitMart
Kraken
Bitstamp

Global Brokers:

Interactive Brokers (IBKR)
OANDA
IG Group / IG Markets
IC Markets
Pepperstone
FOREX.com
XM
Saxo Bank
AvaTrade
Alpaca

Supported Methods:

REST API
FIX API
Unified API
Proprietary API
MT4 / MT5
cTrader
WebSocket
Native
Third-Parties
Programming Languages
Python
Coding Expertise
Performance Optimization, Design
What's included
Service Tiers Starter
$100
Standard
$200
Advanced
$300
Delivery Time 1 day 2 days 2 days
Number of Revisions
122
Install Script
Test Script
Task Automation

Frequently asked questions

Filipe S.Status: Offline

About Filipe

Filipe S.Status: Offline
Quantitative Trading Research Engineer
Vila Velha, Brazil - 3:06 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

Define alert logic and automation goals.

Step 2 – Development

Build alerts and automation-ready logic.

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