Robot James 🤖🏖 ✓
@therobotjames · joined 06 Mar 2018
the people’s gambling champion https://t.co/Ne6Mr6Sg7q
79 238Followers
1 477Following
53 135Posts total
503.9KViews on collected posts
Son gönderiler
Yeni gönderiler aranıyor…
i like calendar effects.
trades exploiting calendar effects tend to be easy to understand, easy to test, and (usually) easy to execute.
they don’t need complicated models or hundreds of inputs.
to trade them, you often just need to know the time and date. https://t.co/ayzsdpt1
68.8K views · 595 likes
· 26 reposts · 15 replies
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If anyone is sending you weird messages on telegram (or anywhere really) that ain’t me
14.9K views · 85 likes
· 0 reposts · 28 replies
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ya i’ve stayed at a super 8 motel too https://t.co/8Q4xkRWVi3
22.5K views · 231 likes
· 2 reposts · 11 replies
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@therobotjames fucking just lmao that this is real. I need to be more ape looking for shit like this
3.1K views · 17 likes
· 0 reposts · 0 replies
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read the damn article: https://t.co/uz8swnxSgh
love you
beep . . . boop
8.7K views · 149 likes
· 3 reposts · 5 replies
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in the article i show you how to do this.
and show you a simple strategy that you can trade with any simple screener and your mouse.
it would have traded 607 times over the last 4 years and made over 900% return on initial capital if you bet full stack on each bet. https://t.c
9K views · 73 likes
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to make a real trading strategy we need to do one or some or all of the following:
- take better trades (or skip the bad ones)
- reduce the turnover of the strategy (hold longer, stop flipping)
- restrict the tradeable universe
and design something you can actually manage.
6.2K views · 44 likes
· 0 reposts · 1 replies
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it's a real effect.
people really are that dumb.
but the average daily return of that is 0.08% and trading like that would have you turning over every hour.
so there's no way you could trade that.
you would massive amounts of money on trading costs.
6.4K views · 50 likes
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for each non-stablecoin usdt-perp on binance we:
- look at last 24 1h candles
- find the biggest green candle, and short the thing 24 hours later, closing after an hour
- find the biggest red candle, and long the thing 24h later, closing after an hour https://t.co/9niZ8oUHNC
6.7K views · 111 likes
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> do people *really* trade irrationally based on highly predictable changes in that number?
yeah. they really do.
here's a simple costless "backtest" to show it.
6.5K views · 42 likes
· 0 reposts · 1 replies
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the opposite is true when we know the price went down.
our starting price gets more attractive (from the point of view of the 24h return calculation)
so, all things being equal, the 24h return is going to look better over time. https://t.co/lirHcTeD0w
6.8K views · 23 likes
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if price went up from its price exactly 24 hours ago, we know the 24h return is likely to decrease, making the asset look less attractive to crypto idiots.
if price went down, we know the 24h return is likely to increase, making the asset more attractive to said morons.
6.5K views · 38 likes
· 0 reposts · 1 replies
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as time passes, that yellow line is gonna shift to the right.
the market went up from the starting point of our arrow.
so we know that, all things being equal, the 24h return is going to look worse over time. https://t.co/HMAwgShy3E
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lemme explain
that number is calculated as the % difference in the price right now vs the price 24 hours ago.
there are two things that drive changes in that:
1. what price is going to do in the future (we can't predict this)
2. what price did in the past (we *know* this)
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as i'm writing this, BNB is showing -0.25% 24h return.
that calculation is represented by the yellow arrow on the chart here https://t.co/uibATOUMdi
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most crypto exchanges display the change in price of an asset over the last 24h *everywhere*
changes in this number drive predictable (irrational) trader behaviour.
and changes in this number are *predictable*.
because we know what happened in the last 24 hours. https://t.co/p
9.1K views · 44 likes
· 1 reposts · 1 replies
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i want to show you trades that you don't have to be good to do.
things you could trade with a potato.
crypto is (still) full of these.
here's an example...
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· 0 reposts · 1 replies
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pros sometimes do dumb things too.
especially when liquidity is thin.
a junior trader might quote overnight markets with an obviously bad fit.
or a market maker might mismodel an index change or acquisition.
you have to be good to detect this tho.
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it's historically been possible to trade this short-lived attention cycle.
but you need to get in early and get out early.
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similarly, when a celebrity or politician says something interesting, someone often creates a memecoin with a related name.
traders often pile into it, maybe assuming an official connection.
it goes up a lot, then the creators and early holders dump on new buyers.
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you probably couldn't have anticipated this.
but, if you see a sudden rise in an unrelated company whose name or ticker resembles something in the news, there's a potential short bet there.
(tho the mistaken stock may be tiny, illiquid and hard to borrow)
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before twitter's ipo, people wanting to buy twitter accidentally bought shares in tweeter home entertainment (TWTRQ), a bankrupt electronics retailer.
whoops.
it went up 700% https://t.co/seEXilAbxJ
12.4K views · 45 likes
· 0 reposts · 1 replies
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when elon tweeted "use signal", people wanting to buy signal shares bought shares in signal advance (SIGL), a medical device manufacturer.
whoops.
it went up over 6000% https://t.co/SmBoSp6kKX
10.4K views · 44 likes
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trading edge usually comes from doing things other people don't want to do.
or taking advantage of forced trading.
sometimes, tho, it comes from people being dumb.
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· 3 reposts · 2 replies
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idiot edge
sometimes edges appear due to other trader's stupidity
i'll show you a crypto trade that is so silly you might not believe it
but i promise you it's real. https://t.co/4S0CReUlJ7
166.7K views · 963 likes
· 64 reposts · 36 replies
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it's best to read the article here: https://t.co/uz8swnxSgh
i'll first give you some background and general examples.
then i'll get onto the crypto trade.
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Aynı büyüklükteki hesaplara karşı
Son 90 güne ait 27 gönderi, 10K–100K takipçi aralığıyla yan yana. geniş kitleye gösteriliyor, ama izleyenlerin azı tepki veriyor.
Medyan görüntülenme9 024bu hesap1 09810K–100K için medyan
Erişim, %11.39%bu hesap3.91%10K–100K için medyan
Etkileşim, %0.54%bu hesap1.66%10K–100K için medyan
| Ölçüt | Bu hesap | 10K–100K için medyan | Oran |
|---|---|---|---|
| Gönderi başına medyan görüntülenme | 9 024 | 1 098 | 8.22× |
| Erişim (görüntülenme ÷ takipçi) | 11.39% | 3.91% | 2.91× |
| Etkileşim oranı | 0.54% | 1.66% | 0.33× |
Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
7.1K23 Jul
6.5K
6.8K
6.5K
6.7K
6.4K
6.2K
9K
8.7K
3.1K
22.5K24 Jul
42.8K1 Aug
14.9K12 Aug
68.8K10 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.41%23 Jul
0.60%
0.35%
0.66%
1.66%
0.83%
0.72%
0.82%
1.81%
0.55%
1.08%24 Jul
0.33%1 Aug
0.76%12 Aug
0.92%10 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.66%.
What the audience does
Likes51.8%3 102 in total
Reposts1.8%108 in total
Replies2.1%123 in total
Bookmarks44.3%2 650 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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