David F

Market cycle detection via novel signal processing techniques. If a cycle exists, we will detect it! Learn about this approach:

[David F @TradingHurst]

Nice example of JM Hurst's nominal model kinda holding up in modern times with the 20 and 40 week waves occupying the bandwidth they did several decades ago.

[David F @TradingHurst]

Across crypto today a cycle around 75 minutes is nicely dominating.

[David F @TradingHurst]

Following on from this here is the same periodic feature across a few of the instruments from the Uranium sector via $URA $UUUU $NXE and more.

[David F @TradingHurst]

Here we have an extremely cyclical market via $URA in the Uranium sector. A cycle around 16 weeks is highly dominant over the last 2.7 years or so, currently forming it's latest trough.

[David F @TradingHurst]

@uselinkinv Thank you sir

[David F @TradingHurst]

@leah_crypto Oh sorry I misread. Yes multiple timeframes and groups of instruments can already be scanned in the scanner.

[David F @TradingHurst]

Here we have an extremely cyclical market via $URA in the Uranium sector. A cycle around 16 weeks is highly dominant over the last 2.7 years or so, currently forming it's latest trough.

[David F @TradingHurst]

I am actually working (yes it's Saturday!) on that as we speak. I will want to have a readout of dominant cycles across larger timeframes, their phase, score and so forth to form a larger 'market bias' picture. This as a guide to the user as to which current (smaller) timeframe trades to possibly enact

[David F @TradingHurst]

Keen eyes will note the modest power around 80 weeks, this is notionally the '18 month nominal wave' from the model although it could easily be swapped out for noise.

[David F @TradingHurst]

Here we have the JM Hurst '40 week nominal wave' over the last 8 years. This and the 20 week really the only consistent cycles at this time scale from his nominal model.

The 40 week has certainly dominated over the last 5 years or so during the larger uptrend

[David F @TradingHurst]

@leah_crypto Yer theres loads of things in the new app to make it easier, it is a significant step up, although based on my fundamental engine

[David F @TradingHurst]

In crypto today we have a nice rhythm providing the cyclic strength around 70 mins

[David F @TradingHurst]

@leah_crypto I will probably change it to list the top 3 most common across all markets

[David F @TradingHurst]

@leah_crypto ADAUSD

[David F @TradingHurst]

@leah_crypto Yes the score is the highest. The peak commonality on the longer cycle is skewed by AVAUSD high yield

[David F @TradingHurst]

@leah_crypto Here it is across a few over total market power

[David F @TradingHurst]

@jurkaeth For over 2 years looking at that spectrogram

[David F @TradingHurst]

Compare market cycle power across multiple markets and discover commonality amongst periodic features. Below 7 of the major coins in cryptoland

[David F @TradingHurst]

@jurkaeth Here's the 60 and 80 day across a few crypto markets. My theory is that base:0xe4b20925d9e9a62f1e492e15a81dc0de62804dd4 apes the stockmarket 80 day more.

[David F @TradingHurst]

@jurkaeth It was squashed for a bit by the approx 60 day but don't count it out just yet!

[David F @TradingHurst]

@airlovsky The 40 week cycle is totally dominant across wavelengths approx 75d - 107 weeks.

[David F @TradingHurst]

Overlay the original JM Hurst 'nominal model' (green lines) to examine the efficacy of the framework several decades on. Here the 20 and 40 week wave in the S&P 500 align closely.