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algotradekit
Joined
Jul 27, 2021
Connections:
0
Experiência:
Mais de 5 anos
Perfil
Bio
An software developer since early 2000's with experience in high-level programming languages like C++, MQL4 / MQL5, Python, PHP, Python, Java and various database query languages like Microsoft T-SQL, MySQL, PostgreSQL while making my living in financial sector.
Recently I decided to share (and profit from) my knowledge about Forex markets by offering to the public quality expert advisors at reasonable price.
Recently I decided to share (and profit from) my knowledge about Forex markets by offering to the public quality expert advisors at reasonable price.
Estilo de negociação
Several strategies depending on specific market regime:
1. Latency arbitrage - mostly associated with high frequency trading and it refers to the fact that different people or firms get market data at different times. Latency arbitrage occurs when the high frequency trading algorithms earn profit by making trades split second before other traders.
2. Sentiment analysis - involves analyzing market sentiment, gauging the overall mood or outlook of market participants through sources like news articles, social media, or financial reports. Positive sentiment may signal a buying opportunity, while negative sentiment may suggest a selling opportunity. This strategy relies on interpreting large volumes of qualitative data to make trading decisions.
3. Mean-reverting - based on the idea that asset prices tend to revert to their historical average or mean over time. When an asset's price deviates significantly from its average, the strategy assumes that it will eventually move back towards the mean.
1. Latency arbitrage - mostly associated with high frequency trading and it refers to the fact that different people or firms get market data at different times. Latency arbitrage occurs when the high frequency trading algorithms earn profit by making trades split second before other traders.
2. Sentiment analysis - involves analyzing market sentiment, gauging the overall mood or outlook of market participants through sources like news articles, social media, or financial reports. Positive sentiment may signal a buying opportunity, while negative sentiment may suggest a selling opportunity. This strategy relies on interpreting large volumes of qualitative data to make trading decisions.
3. Mean-reverting - based on the idea that asset prices tend to revert to their historical average or mean over time. When an asset's price deviates significantly from its average, the strategy assumes that it will eventually move back towards the mean.
Mote
Ride the Waves of Sentiment, Return to the Mean.
Sistemas por algotradekit
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