I will code an nq mnq futures bot using dtr 3 for 3 rules
Custom Automated Trading Strategies
About this Gig
code an nq mnq futures bot using dtr 3 for 3 rules
Want to automate your Nasdaq futures strategy without manually monitoring every setup? Manual execution can lead to missed signals, inconsistent rule-following, and hesitation during fast market moves.
A custom NQ and MNQ trading bot can implement your DTR 3 for 3 rules in a structured, repeatable workflow.
Your project can include:
- Consistent entry and exit signals based on your supplied rules
- Automated futures strategy logic for your supported platform
- Configurable risk controls and trade filters
- Backtesting, debugging, and setup documentation, as agreed
You receive source code or an agreed deliverable, with features and testing defined before development. Platform compatibility, historical data, and execution permissions affect what can be implemented.
No bot guarantees profits or eliminates trading risk. Backtested results do not guarantee live performance.
Before ordering, share your exact DTR 3 for 3 rules, preferred platform, and whether you need signal generation, strategy backtesting, or automated order execution. Your project scope and feasibility will be confirmed before development begins.
Platform:
Custom
•
NinjaTrader
Development technology:
Python
•
PineScript
•
Node.js
My Portfolio
FAQ
What is the DTR “3 for 3” strategy?
Please provide the exact rules or documentation you use. I will implement the supplied logic rather than assume what your version of the strategy means.
Can the bot trade both NQ and MNQ?
Potentially, depending on the supported platform and your requirements. Specify whether you need one contract or both.
Will the bot place trades automatically?
That depends on the agreed scope and platform permissions. The project can focus on signals, backtesting, or automated order execution.
Can you backtest the strategy before live trading?
Backtesting can be included when suitable historical data and platform tools are available. Results depend on data quality, costs, slippage assumptions, and execution conditions.
Do you guarantee profitable results?
No. The bot implements defined rules, but futures trading involves substantial risk and past performance does not guarantee future results.
