"What if this is the bottom" Go look at past BTC macro bottoms. It's puke into low vol sideways for well over a month. When it's the bottom you'll have time.

this coin will probably be considered incredible technology again by monday

Someone check on @BrahEcon

Is it time to dig deep into the ancient memes?

Tezos is pumping. Good morning.

Crytpo trading like it really wants to hear that Clarity Act result.

*SENATE DEMOCRATS TO MEET TONIGHT ON CLARITY ACT COUNTERPROPOSAL: TERRETT *DEMOCRATS WEIGH COUNTEROFFER DESPITE GOP 'FINAL OFFER' STANCE ON CLARITY ACT *CLARITY ACT FACES KEY SENATE PROCEDURAL VOTE IN LESS THAN 24 HOURS

bitcoin:native update: Closed above resistance with a strong impulse Couldn't look much better, we've now got strong support right below price For better or worse, with a close like this I'll have to stick with it and keep my position More afraid to miss out than to partial roundtrip

At what point do you have to say 'skill issue'

Great follow if you want to understand curve fitting, because his charts are a live demo of it. Curve fitting = building a model that matches past data really well, by tuning it until it lines up. But a model that explains the past perfectly and a model that predicts the future are not the same thing. Every model has knobs. On a chart, the knobs are things like: which lows you connect for a trendline, the length of a moving average, log vs linear scale, the period on an oscillator, where you anchor Fibonacci levels, the start/end dates you choose to show, etc. The more knobs you add, the more closely you can match any history, including the random noise in it. With enough knobs, you can draw a model that fits any past chart almost perfectly. It appears like insight but in reality, it's just having enough free knobs. So a tight fit on past data tells you almost nothing on its own. The question is always: how many knobs did you turn to get there? A model that needs 8 hand-picked knobs to fit the past is far weaker than one that needs 1. Fitting the past and predicting the future are pulling against each other, and past a certain point every additional knob you spend on a tighter historical fit is bought at the cost of predictive power. When the past stops matching, you add another knob. "It's an extended cycle now." "It's liquidity-weighted." Each adjustment re-fits the model to what already happened. In hindsight (and *only* in hindsight), it always looks right. 1) Develop model 2) Add/change knobs to fit 3) “Subscribe to my paid newsletter” 4) Watch model crash and burn 5) Back to 2)