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Love this memory, thanks for sharing. I remember doing the same thing to school computers. The challenge was being subtle enough to avoid detection from the teaching staff, but funny enough to be noticed and appreciated by the rest of the students. Funny being entirely subjective, of course!


I've done exactly the same thing. Grew tired mid pandemic Y1 of the constant drone and misinformation, just a continuation of how it had been going already.

Print and digital sub to the Economist and then "banned" myself from reading 24hr/live news sites.

Has been interesting to see how many real life conversations I've been in ~18m in where I've been (anecdotally) better informed, or able to add colour (the recent events in Ukraine are a good example) that friends have totally missed hooked up to the daily drip. Interested to see if you find this also?

I'm a huge fan of the more objective attitude of charts and figures, and a clear subjective opinion, often explicitly stated as "we think...".


I've definitely noticed having more background knowledge on major events. My wife still takes all her news digitally (mostly NYT), and I'm able to add a lot of color to her understanding of events when we talk through news of the day.

What's actually really surprising to me is how "not behind" my information normally is. I work my way through an issue over breakfasts and evenings in the course of the week, so my information is typically 2-9 days stale. It almost never matters.


The context seems to age fairly well. So even if you're not current, you're only missing that most recent piece.

Vs online journalism doesn't seem to have the skill, or make the effort, to effectively set the news of the day in a well-summarized background.


Interested in your thoughts on how most people trade.

Also curious what the ruleset will do, along the lines of existing risk management strategies? (Limit % of account per trade and % per day or strategy to a certain level of loss?)

If it's automated, I think it probably circumvents the more "addictive" type behaviours as they tend to be more prevalent in scalping or day trading strategies. What sort of timeframes are you targeting?


From what I know it's partially based on what others are saying (e.g. Twitter), partially emotion based (fear/greed/etc), and otherwise based on luck. Some will pick a hyped coin and hope for the best.

Risk management will be a big part of it. I was even thinking of enforcing %s to limit risky behavior, but users would probably just leave if I did that.

Yes the idea is that automation reduces trades that aren't well thought out. I want to target as many timeframes as possible, but will likely start with 12H and 1D for the MVP.

Website with sign-up for the MVP: https://tradecast.one


Came here to say this. I have noticed this increasingly in the last few weeks, constantly getting 1st page results with the exact-match term struck through and semi-relevant-but-not-really results. Struggling to think of motivation for why this would be. Or is it a byproduct of shifts elsewhere.


Came here to say this. Almost finished myself and have loved the read so far.

I have also enjoyed this unintentional easter egg - the musical artist mentioned early in the novel doesn't exist IRL, but a keen early reader has created a Spotify playlist by that name, and it's been growing steadily the past few weeks as people search to see if she is real and happen upon this. https://open.spotify.com/playlist/41rZjyFBpUFpKZdGZHbbXl?si=...


* https://en.wikipedia.org/wiki/Tech_Model_Railroad_Club

(above breaks with the bracket included)


Reminds me of the iLikeTrains track: https://www.youtube.com/watch?v=ei-YcXjlglI



Almost everybody I know in the UK uses it, a lot.



Pretty sure that's not America.


"British weather", "barrister", what gave it away? RTFA.


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