Python Algo Trading Developer
Краткое
Freelancer Client is hiring: Python Algo Trading Developer.
Location: Remote
A signal-based trading algorithm has to be coded in Python and wired to generate, validate, and execute orders purely on technical indicators. The core logic will revolve the bot recieving instructions from a different source via the trading symbol,qty, and tp for entry and exit signals, reversals and the code must be clean, modular, and easy for me to extend with additional indicators later.
What you'll do:
• Real-time market data is streamed, processed, and fed through the
• When signal is reached to bot, it should neatly execute and manage properly multiple symbols at same time without interrupting other symbols trading
• Orders are routed automatically to the broker/exchange via API, with position sizing and basic risk controls baked in.
• I already ruled out news sentiment and volume signals for now, but the structure should be flexible enough to plug those sources in later without a full rewrite.
• With ability to capture logs for audit
• Well-commented Python source code (ideally leveraging pandas, TA-Lib/ta, and a reliable broker API wrapper).
• Clear README describing setup, required libraries, and how to customise indicator parameters.
• 1. Strategy reproduces the defined entries/exits on a provided test dataset.
Skills: C Programming, Python, Software Architecture, C++ Programming, Risk Management, Data Analysis, API Development, Backtesting, Financial APIs
Budget: $400–$750 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Оригинал
A signal-based trading algorithm has to be coded in Python and wired to generate, validate, and execute orders purely on technical indicators. The core logic will revolve the bot recieving instructions from a different source via the trading symbol,qty, and tp for entry and exit signals, reversals and the code must be clean, modular, and easy for me to extend with additional indicators later.
The workflow I have in mind:
• Real-time market data is streamed, processed, and fed through the
• When signal is reached to bot, it should neatly execute and manage properly multiple symbols at same time without interrupting other symbols trading
• Orders are routed automatically to the broker/exchange via API, with position sizing and basic risk controls baked in.
I already ruled out news sentiment and volume signals for now, but the structure should be flexible enough to plug those sources in later without a full rewrite.
With ability to capture logs for audit
Deliverables
• Well-commented Python source code (ideally leveraging pandas, TA-Lib/ta, and a reliable broker API wrapper).
• Clear README describing setup, required libraries, and how to customise indicator parameters.
Acceptance Criteria
1. Strategy reproduces the defined entries/exits on a provided test dataset.
3. Live trade simulation places, modifies, and closes orders correctly in paper-trade mode.
If you have prior work with similar signal-driven systems, a quick code sample or repo link will help me gauge fit.
Локация & Details
Перейти к источнику →About this listing
This remote opportunity was imported from Freelancer and is shown here for discovery. To apply, follow the link to the original posting.