Python cTrader Forex Algo Bot
Budget: $15 – $25 USD
I’m ready to commission a fully-automated Forex trading bot for cTrader, coded only in Python and leveraging the cTrader Open API plus its built-in back-testing environment. All buy-and-sell logic will be supplied by me; what I need from you is clean, modular code that mirrors those rules exactly and writes a plain-English comment to the program log for every single order, stamped with cTrader’s date-time so I can trace and refine each decision later.
Key functional needs
• Instrument scope: Forex pairs initially.
• Core logic: A bespoke, trend-following approach that doesn’t fit the usual scalping/swing/day-trading labels.
• Parameter control: Every technical variable (thresholds, lot size, MA lengths, risk settings, etc.) must live in an instantly editable dialogue box. When I change a value, the running strategy must pick it up on the next tick without a restart.
• Transparency: Maintain a detailed execution log plus inline code comments so another developer could audit the strategy flow end-to-end.
• Back-testing: The same script should run unmodified in cTrader’s back-tester, producing identical logs for historical data analysis.
Collaboration & compliance
I require a signed, legally binding confidentiality agreement before any materials are shared. We’ll review milestones and screen-share code through Zoom or Google Meet, so please factor live sessions into your estimate. I prefer an hourly quote backed by a granular time log (task, start/stop, brief note).
Acceptance criteria
1. Python source compiles and runs in cTrader with no external tweaks.
2. Real-time parameter dialogue functions as specified.
3. Trade log entries match the supplied format on both live and back-test runs.
4. Final code passes a walk-through session where we step through at least one full trading day of historical data.
If you already have hands-on experience delivering Python strategies for cTrader and can meet the confidentiality and review requirements, let’s connect and map out the timeline.
Quotes should be provided based on hourly rates, not overall project estimates.
Key functional needs
• Instrument scope: Forex pairs initially.
• Core logic: A bespoke, trend-following approach that doesn’t fit the usual scalping/swing/day-trading labels.
• Parameter control: Every technical variable (thresholds, lot size, MA lengths, risk settings, etc.) must live in an instantly editable dialogue box. When I change a value, the running strategy must pick it up on the next tick without a restart.
• Transparency: Maintain a detailed execution log plus inline code comments so another developer could audit the strategy flow end-to-end.
• Back-testing: The same script should run unmodified in cTrader’s back-tester, producing identical logs for historical data analysis.
Collaboration & compliance
I require a signed, legally binding confidentiality agreement before any materials are shared. We’ll review milestones and screen-share code through Zoom or Google Meet, so please factor live sessions into your estimate. I prefer an hourly quote backed by a granular time log (task, start/stop, brief note).
Acceptance criteria
1. Python source compiles and runs in cTrader with no external tweaks.
2. Real-time parameter dialogue functions as specified.
3. Trade log entries match the supplied format on both live and back-test runs.
4. Final code passes a walk-through session where we step through at least one full trading day of historical data.
If you already have hands-on experience delivering Python strategies for cTrader and can meet the confidentiality and review requirements, let’s connect and map out the timeline.
Quotes should be provided based on hourly rates, not overall project estimates.