Germany's factory orders declined at a faster-than-expected pace in August. Incoming new orders contracted 5.8 percent on a monthly basis in August, reversing July's upwardly revised 3.9 percent expansion. Orders were expected to fall 1.9 percent. Further, this was the steepest decline since January. Excluding large orders, new orders dropped 3.4 percent from July. more...
UK house prices rose at the fastest annual rate in almost two years in September due to base effects. The house price index rose 4.7 percent year-on-year in September, faster than the 4.3 percent rise in August. Further, this was the steepest increase since November 2022. On a month-on-month basis, house prices rose at a stable rate of 0.3 percent in September. more...
From the beginning of this article series, our emphasis has been on aligning our experts with the prevailing sentiment of the daily (D1) candles. The shape of the daily candle has served as the primary guiding feature. However, we needed to scale down to lower timeframes to identify entry levels within the D1 market. For example, at the M1 timeframe, we wanted the market to reach extreme levels on the Relative Strength Index (RSI) to signal potential trades for the Expert Advisor. At this ...
For a few time-series, it is possible to devise a formula for the next value in the sequences basing off of previous values that appeared within it. Number walls allow this to be accomplished by preliminarily generating a ‘wall of numbers’, in the form of a matrix via what is referred to as the cross-rule. In generating this matrix, the primary goal is to establish if the sequence in question is convergent and the number wall cross rule algorithm gladly answers this question, if after a few rows ...
Self-optimization algorithms for trading strategies include parameter optimization, evolutionary algorithms, heuristic methods, gradient-based techniques, machine learning, and simulation-based optimization. Each has unique pros and cons, tailored for different trading needs and market conditions. Python programs are an excellent tool to try ideas, create graphics quickly and confirm theoretical statements with historical trading data. Python allows to develop and adjust models agilely, ...
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