- Joined
- 28 December 2013
- Posts
- 6,392
- Reactions
- 24,319
This cycle is uncanny, it has predicted the cycles over the last 200+ years - two years from now of the cycle before the bust!
now one potential wrinkle to this cycle theory , is the offering of 40 year mortgagesI meant to share that we are currently in the ‘Winners Curse’ period of the 18.6 year cycle, the last 18 months - two years from now of the cycle before the bust!
Things will only get more bullish going forward but volatility is going to be highly more frequent. We’ve seen this already over the last month or so ….
Shortly the taxi drivers and people on the streets et al will be talking stocks like there is no tomorrow! The money will be pouring in, everyone thinking ‘how good is this’ …
It’s a matter of holding onto your seatbelts and riding it through. There are some unbelievable gains to made in certain sectors.
I’d be very careful of developments in the 18.6 year property cycle come late 2025 leading into 2026. Timing of course maybe within a 6 month period to a year or so from this point, give or take ….
This cycle is uncanny, it has predicted the cycles over the last 200+ years.
The astute will make good money but timing is imperative with getting out at the right time and going cash when the time is upon us. The non-believers might say what the hell are you talking about ….
Just remember the 2007-8 GFC crash …. going on 16 years ago now and fast approaching the conclusion of this current 18.6 cycle.
just goes to show one stock can make your reputation ( and profit )View attachment 183853
"Fundie vs AI: Who is the better stock picker?"
Yesterday's post focused on "income" stocks. Today's post examines "growth" stocks.
The Article by Chris Conway of Livewire Markets
The article, (hyperlinked below) inspired this exercise, which highlights the evolving capabilities of (AI) in stock picking. As (AI) technology continues to improve, it will be interesting to see how it compares to humans in finance. This is a theoretical investment exercise pitting Google's (AI) Gemini against Tobias Yao from Wilson Asset Management in selecting five "Growth" stocks for the next 12 months.
Fundie vs AI: The best ASX growth stocks for the next 12 months
We've seen the income stocks, now we're looking at growth stocks in this edition of "Fundie vs AI: Who is the better stock picker?"www.livewiremarkets.com
Results after 33 weeks
We recognise this is nothing more than a fun, but important, "thought experiment" as ultimately, (AI) will likely become a tool that all use to make more informed decisions, across a broad range of topics.
View attachment 183854
At times, outliers can distort the overall picture
Removing these outliers often provides a clearer view of returns. For instance, Life360 (ASX:360) is one such outlier. Even after excluding this outlier, the results over 33 weeks remain respectable.
View attachment 183855
Skate.
At the end of the day, everyone has their way of taking some skin out of the market which as we all know is challenging. Personally, I am a TA strategist with some backup from the fundamentals. The game can change very quickly depending on one thing and it’s called “Sentiment”.
When Do We Exit a Trend?
This is the riddle that needs solving. Exiting too early or too late can render all the effort of getting into a strong trend futile.
A “Take Profit Stop” is a valuable tool in a trader’s arsenal
You have no statistical validation or backtest results. Apart from recent (3 month results, in a bull market no less), none of your so-called strategies can be tested or proven.
Measuring Effectiveness
By regularly evaluating the short-term performance of each strategy, you can make informed adjustments to your overall trading approach.
Profitable systematic trading is indeed possible, and trading rules can be simulated - but using incomplete data and poor modelling won't get you there. So, all of your multi-year backtests that have used the "current" constituents are flawed. But I guess you'll continue to post.
@Skate is just presenting an idea to newbies as a way forward into trading.
The key to using a trailing stop successfully is to set it at a level that is neither too tight nor too wide.Patterns and Probabilities: The Foundation of Technical Analysis
When it comes down to it, trading relies heavily on trends, and spotting these trends can be challenging. I’ve always maintained that getting into trends is the easy part, but as we all know, not all trends are created equal as some trends are stronger than others. This makes filtering trends crucial. Timing your entry is a critical component of seeking profitability. While using an “Index Filter” is better than nothing, I believe there is a superior indicator. One such indicator that I use and discuss in this thread is the percentage up buy filter. In layman’s terms, if the majority of an index is advancing, that’s the time to buy.
When Do We Exit a Trend?
This is the riddle that needs solving. Exiting too early or too late can render all the effort of getting into a strong trend futile. Over the years, I’ve noticed a recurring pattern where a position in a trend runs out of steam, or as I like to call it, “the position goes stale.” Recognising when a position stagnates is the time to consider exiting. Relying on a “trailing stop” often means exiting too late, giving back open profits, which can be painful.
Skate.
How a fund manager is using AI to get an edge
How a fund manager is using AI to get an edge
Artificial intelligence is taking the world by storm and the investment industry is still coming to terms with its immense capabilities. Here is how one fund manager is using AI to stay ahead of its competitors.www.firstlinks.com.au
this might incite some traders to extra programming
personally i prefer multiple scans to produce potential targets ( and THEN research each one )@divs4ever in my opinion, generative AI has made significant strides in generating excitement in the world of trading. What I find particularly useful is that AI serves as an excellent substitute for a trading buddy. You can ask it any question, and it always has an answer. If the first answer doesn’t suit you, it will generate a different one. This ability to run alternative ideas and bounce strategies around is incredibly useful for evaluating different approaches.
Skate.
We use cookies and similar technologies for the following purposes:
Do you accept cookies and these technologies?
We use cookies and similar technologies for the following purposes:
Do you accept cookies and these technologies?