Market cycle detection via novel signal processing techniques. If a cycle exists, we will detect it! Learn about this approach: https://nitter.cf/t.co/jTRQrdxKpp
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and the ~ 70 min component in base:0xe4b20925d9e9a62f1e492e15a81dc0de62804dd4 in 3D just because it's cool
Testing historical performance of alerts for identified cyclic features in the browser based version of the sigma-l app.
Examine timing efficacy, by score, timeframe and so forth..
More on alerts in the new browser based system. The cycle in crypto today around 70 minutes (here shown via 1 min charts) is actually a very lovely example of the kind of periodic feature that is possible to trade.
Within alerts a useful performance dashboard which keeps track of the success or failure of cyclic features over time.
Alert system to help the user identify incoming inflection points across their selected cycle features. Nice.
View dominant cycles by score and power across timeframes with the overall market power view.
Useful!
Crypto composite over the last 8 years or so at the monthly scale, a feature around 9 months is clearly dominant
Having fun bringing the Sigma-L cycle detection tech to a browser based version. Some screenshots below, composites, yield mode, custom band detection and loads more.
The absolutely beautiful ~ 80 day cycle in the #Nikkei, reflected globally too at a lesser degree of clarity. Here a sample over the last 4 years or so takes in wavelengths between ~ 25 days to 29 weeks.
Also shown in a composite with S&P 500 and FTSE.
#marketcycles
