Trading Software Developer
Budget: ₹150,000 – ₹250,000 INR
We are seeking a skilled software developer to work on a trading software project that utilizes MQL or Python language. The project involves developing a latency arbitrage bot that leverages price inefficiencies in market data to generate profits.
The bot will utilize data from two different brokers, one of which is a fast broker that provides real-time data, while the other is a slow broker that lags behind in data delivery. During periods of high volatility, the prices in the fast broker will change faster than the slow broker, creating a price gap or inefficiency in the market data.
The main goal of the project is to capture this price gap or inefficiency in the market data using the slow broker and execute trades accordingly. The bot will be programmed to identify the price differences between the two brokers and execute trades with the slow broker, thereby taking advantage of the price inefficiency in the market data.
The ideal candidate for this project should have experience in developing trading bots and should be proficient in MQL or Python language. They should also have a good understanding of market data and be able to develop algorithms that can effectively capture price inefficiencies in the market.
Overall, this project offers an exciting opportunity to develop a cutting-edge trading software that utilizes advanced algorithms to generate profits. The successful candidate will play a key role in developing and implementing the software, as well as in ensuring its success in the highly competitive financial markets.
The bot will utilize data from two different brokers, one of which is a fast broker that provides real-time data, while the other is a slow broker that lags behind in data delivery. During periods of high volatility, the prices in the fast broker will change faster than the slow broker, creating a price gap or inefficiency in the market data.
The main goal of the project is to capture this price gap or inefficiency in the market data using the slow broker and execute trades accordingly. The bot will be programmed to identify the price differences between the two brokers and execute trades with the slow broker, thereby taking advantage of the price inefficiency in the market data.
The ideal candidate for this project should have experience in developing trading bots and should be proficient in MQL or Python language. They should also have a good understanding of market data and be able to develop algorithms that can effectively capture price inefficiencies in the market.
Overall, this project offers an exciting opportunity to develop a cutting-edge trading software that utilizes advanced algorithms to generate profits. The successful candidate will play a key role in developing and implementing the software, as well as in ensuring its success in the highly competitive financial markets.