Simple version of auto forex trader build upon the concept of DQN A machine learning program that is able to recognize patterns inside Forex or stock data.
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- GitHub - RaidasGrisk/Trading-Bot: Code for automated FX trading
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GitHub - RaidasGrisk/Trading-Bot: Code for automated FX trading
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Git stats commits. Failed to load latest commit information. Jul 2, Update 5. Jul 5, Jul 3, Aug 1, Update notes. Update run. Jul 6, Oct 23, View code. Introduction Getting started. Wolf Trade foreign exchange with ease. Introduction Wolf Trading Platform is an interactive platform that supports real-time financial data visualization, as well as historical data lookup. Below is an overview of the architecture of Wolf: Wolf uses the following modules: Data Provider bottom box on the diagram above is responsible for a real-time Forex feed to the system.
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To have that free of charge it uses data aggregated by Hist Data every month. The data feed is therefore one month old, e. This approach helps generating traffic similar to what expensive data providers would provide.
The downside is, apart from data being one-month old, the fact that a regular weekday in July might have been a weekend in June, which causes outage in feed. Rule Submission top right box on the diagram above is responsible for getting user-defined orders from investors. Rules are delivered to the Rule Engine and executed if the condition specified in the order is met.
All rules enter the system via this API. Web Interface calls this API when user clicks to submit a rule. Data Router the second from the bottom box on the diagram above is responsible for getting events generated by producers: "ticks" from Data Provider and orders from Rule Submission and deliver them to the appropriate consumers.
It is built on top of Kafka distributed queue. Rule Engine the second left-most box on the diagram above is one of the consumers of events provided by Data Router.
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It matches up rules with the current state of the market and executes the trades when the conditions specified in rules are met. It is built on top of Storm event processor. The design of rule. It is a simple design, which matches up rules with ticks by the "symbol" field, e. Execution bolt stores partially the latest state of the market, e.
forex-trading
Below is a run-time visualization of the topology running on Storm cluster: Data Aggregator - RT the "Cassandra" box on the diagram above is responsible for aggregating the latest ticks in real time. Latest commit. Git stats 2, commits.
Failed to load latest commit information. View code. Jiji Contributing to Jiji License. Jiji Start the Forex system trading, using your own trading strategies. Contributing to Jiji We'd love for you to contribute to our source code and to make Jiji even better than it is today! Fork this repository on github. Releases 16 tags. Packages 0 No packages published. Contributors 3. You signed in with another tab or window. Reload to refresh your session.
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