Product and strategy shape
Clarify the intended workflow, trading rules, data inputs, execution assumptions, risk boundaries, and what success should look like.
Strategy Development and Implementation
Trading algorithm development with risk engineering built in.
Professional MQL5 and Python implementation support for traders who need strategy ideas turned into maintainable, testable, risk-aware software.
From $1000.00
Algorithmic trading is software engineering as much as strategy design.
A trading idea is only useful if the implementation is clear, testable, monitored, and aligned with how the trader intends to manage risk.
Penfjell builds and supports MQL5 and Python trading systems with a focus on requirements, assumptions, execution behaviour, stress testing, and practical deployment controls.
MQL5 and Python delivery
Develop Expert Advisor logic, Python analytics, automation scripts, or supporting tools using an iterative delivery approach.
Testing and implementation support
Support testing, review failure modes, document assumptions, and prepare the strategy for controlled deployment decisions.
Typical deliverables.
Requirements review covering strategy rules, risk limits, platform assumptions, and operational constraints.
MQL5 Expert Advisor, Python analytics, automation support, or implementation plan depending on the agreed scope.
Testing notes covering backtest behaviour, stress testing, failure cases, and deployment risks.
Handover support so the client understands what has been built, how it should be monitored, and where the limits are.
Penfjell provides software, research, and implementation support. The client remains responsible for reviewing, approving, configuring, monitoring, and stopping any live deployment.