Instead of being a hedging asset like $DWC, DARWIN $DWF aims to achieve long-term positive returns.
The algorithm has been designed such that $DWF adapts to temporal increases in data available to Darwinex.
Any and all improvements to the algorithm will be implemented gradually over time, as more data becomes available.
DWF vs. DWC: + CLOSE STRATEGY (Cs) + PERFORMANCE (PF) – CAPACITY (Cp) – LOSS AVERSION (La)
The DARWIN DWF owes its existence to DWC because they share the same DNA or genetic code.
However, in the laboratory, we have gone ahead to make some changes to improve the Close Strategy (Cs) of DWC, which currently has a score lower than 5.
Both the Close Strategy (Cs), as well as the Performance (Pf), prove to yield promising results in the backtest, at the cost of reducing the scores for Capacity (Cp) and Loss Aversion (La).