So, you know I’ve been messing around with this whole astrology prediction thing for a while, right? Not like a pro, just for fun, seeing if I can track patterns and stuff. It started because my buddy, Mike, is super into it, and he kept talking about how Pisces was gonna have a wild week back in late 2022. I figured, why not try to map it out myself and see if anything actually lines up?
The Setup: Gathering the Stars (and the Data)
I started this project basically as a way to procrastinate on real work. I grabbed a bunch of old astrological data—planetary positions, transits, that whole mess—specifically focusing on the week Mike was talking about: mid-November 2022. I wasn’t using fancy software, just pulling raw data from a few different open-source astronomical APIs. It was a chore, honestly. The data was messy, all different formats. I spent two solid evenings just cleaning it up in a massive spreadsheet.
My goal wasn’t to write a flowery prediction. It was to build a simplified model. I boiled down all the complex aspects—squares, trines, conjuncts—into numerical values based on typical interpretation. For example, a potent Jupiter aspect got a high positive score, while a Saturn square got a low negative score. This was all just me assigning weights based on introductory astrology books I skimmed.
The Grind: Building the Predictive Engine (If You Can Call It That)
I used Python for this because that’s what I know best. I wrote a script that would feed the cleaned planetary data for Pisces’ ruling and associated houses (1st, 3rd, 9th, 12th) through my assigned weighting system. I was looking for spikes—periods where the total positive or negative score jumped dramatically. A sudden leap meant “something big is happening,” whether good or bad.
The first few runs were garbage. The numbers were erratic. I realized I was over-weighting fast-moving planets like the Moon and Mercury, making the daily predictions too volatile. I had to go back and adjust the weights, significantly reducing the impact of the faster bodies and increasing the pull of the big players like Jupiter and Uranus.
Once I smoothed out the model, the data for that specific week started showing something interesting. It wasn’t just a gradual shift; there was a sharp, almost instantaneous positive spike right around Wednesday of that week. The calculation suggested a powerful, unexpected energy—something surprising and beneficial—hitting the third and ninth houses (communication, travel, higher learning).
The Reveal and the Follow-Up
I showed the raw chart to Mike. He laughed, but he was intrigued. My prediction, based purely on numerical spikes, was essentially: “Expect a quick, surprising communication or opportunity related to travel or education mid-week.”
Now, here’s the fun part. A few days later, Mike messages me, totally flipping out. He had applied for some random online certificate course months ago and completely forgotten about it. Mid-week, he got an email out of the blue saying he was not only accepted but offered a significant unexpected scholarship that covered almost everything. Total surprise, totally related to education/learning, and it came fast.
I immediately went back and checked my data models. The prediction wasn’t 100% accurate on the timing—it hit Tuesday night, not exactly Wednesday afternoon—but the intensity and positive flavor of the event, and the sphere it manifested in, were exactly where my crude numerical model had flagged the massive spike. It was pure coincidence, probably, but man, was it satisfying. I’ve kept tweaking that model ever since, still chasing those surprising spikes.
