dogecoin scalp

October 4, 2021

play-by-play summary

  • saw a tweet from Qiao Wang or some fund manager showing the first leg of the SHIB pump

  • i figured that this was just a whale market manipulation play, especially after seeing another tweet showing how much SHIB was moving on-chain

  • on more thought, i reasoned that because pretty much every major L1 had been moving up recently, the market sentiment might be getting meme-level bullish

    • NFTs, of course, were still exploding into insane multiples of their initial prices

  • i was skeptical of how far this pump would go, especially because i hadn’t seen much retail activity recently

  • but because of the general market sentiment, i figured this would become like a hot potato Keynesian beauty contest, where people buy dog coins to try dumping on (1) reflexive pumps from traders with the same idea and (2) retail investors FOMO buying

  • partly due to my liquidity deployment situation, i decided to position for this possibility by entering DOGE with a 1% portfolio allocation

  • entered at 2PM EST with a market buy (i was impatient, possibly because DOGE had already showed signs of strength) at 0.229

  • sold at 0.24 at 11:47PM EST

    • i’d been periodically looking at DOGE versus SHIB (and also L1 majors) and noted that DOGE was a laggard relative to the overall market strength

    • this made me skeptical that it would rip up any further

    • in the back of my mind, the information i had for DOGE was some vague blog post about how DOGE is largely concentrated on just a few wallets, and thus i was wary of the price’s ability to meaningfully rip due to this idea i had of there being a natural seller

entry and sell arrows making me look like i bought local bottom sold local top
entry and sell arrows making me look like i bought local bottom sold local top

process journal

  • i’m looking for a solution to create, at scale, accurate mental notes concerning (1) every potential coin’s holder distributions, (2) tokenomics of buying/selling pressure such as staking or lockups or inflows, and (3) the behavior of different wallet sizes during different market regimes

    • in my mind, this is similar to having a poker player’s hand history before fighting them for pots

  • i did a good job of sizing properly with a small percentage of my portfolio given my level of conviction and amount of due diligence

  • i did a good job of actionably reasoning with my theoretical knowledge base, and of looking for disconfirming evidence for my trade rather than trying to justify a losing position

  • i did a good job of contextualizing events and market moves in what recently has been happening in the metagame of crypto trading