STA Monthly Meeting – October 2017
The ability to detect market reversals in a timely manner has become a key task for traders and analysts. Inverse-Logic Spectral Analysis (ILSA) takes it to the next level by overcoming limitations of traditional methods. It was developed by the speaker for the purpose of cycle detection in a volatile environment and is currently pending patent (No GB1709967.2).
ILSA operates with input data of any length, even shorter than the cycle itself. It detects market cycles earlier than conventional methods (based on Fourier or Hilbert transform), and generates in-phase functions, which can used as oscillators or trading signals with virtually no lag.
Practical results demonstrate fast and accurate cycle detection and show cyclical market reversals forecasted months before they occur. The performance of a simple trading model using ILSA for daily GBP/USD trading is presented for a 27-year period, showing a robust P/L growth with the Sharpe ratio of 2.5.
Dr Dmytro Bondar holds a PhD in electronics engineering. He has over seven years of experience working as a technical strategist in the City of London with most of it in fixed income research at the Royal Bank of Scotland.
Next STA Meeting
STA Monthly Meeting – October 2023
The main reason for ineffective strategy construction which leads to non-reproducible results in real time and hence inconsistent performance is due to not knowing the 3 critical strategy stats. To overcome this challenge and construct sustainable, scalable and reproducible strategies in a quantitative manner, the Smart Money Framework was developed by the quants in the 1960s. With this framework we will have the 3 critical stats to help us construct optimal entries, stop loss and exits. When this is further combined with volume, our probability of capturing the bigger runners increases. All of the above will be explained further in detail by the presenter.
Future STA Meetings
STA Monthly Meeting- November 2023
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