I am now an affiliate of @pear_protocol 😀 Gonna keep posting about pair trading and exciting stuff happening on 🍐 Thx to @ClBlockchain for giving me this opportunity and @NewEra_HL for having brough me into contact with @HyperliquidX and 🍐

After having read some docs on @DefiLlama and going through their universal-token rankings I came up with a basket Idea for @pear_protocol The tokens/coins are seperated into different categories based on metrics such as volume, fdv, token unlocks, transparency etc. So I longed some of the AA and shorted some of the BB tokens The strategy is called "Intra-industry Momentum Series" and offers less upside than simply longing the winners (Time Series Momentum Strategy), but in contrast experiences less max DD on average @agent_pear gave me a 0.42/0.58 beta ratio on 1d tf Ladder orders are in place: xitter.cf/NewEra_HL/status/21115… gPear

Current positions I have open on @pear_protocol Problem I am still working on is that my thesis/idea is often right, but takes more time to play out than expected. e.g. I was spot-on right with the direction $PONS was gonna take after it retraced like 0.4$ and after having seen @MuddyRC post comparing revenue from Pons vs Pumpfun, but still took a loss shorting it (xitter.cf/MuddyRC/status/2103781…) Therefore I often have a too close Stop-Loss because my position sizing is often too big for my personal preference Gonna try fixing it by now only putting in e.g. 1/5 of initial trade size at first and then gradually dca up into profit (ladder-orders as @hufhaus9 once posted are lit) =Will increase fees and worse the average entry, but in 99% of cases I will never top short or bottom long (xitter.cf/hufhaus9/status/209926…) @moritzpike told me this once, but it faded into memory, so working on implementing it ("sometimes I feel very confident in a mtf trade and enter just 15% of preferred size") Personally think is especially true with pair/basket trading where u dont necessarily have to care about the market, but rather about ideas playing out. which ofc takes time and the nerves to hold through volatility In a post @koolkrypto223 wrote: "My only advice is that you should probably be trading way less, and reading way more. DefiLlama pages, governance proposals, macro news, interviews with founders, community TG/Discords." (xitter.cf/koolkrypto223/status/2…) Personally doing this now more often and now looking more at token unlocks, revenue, tvl etc. and other metrics and papers I am still working on my algorithmic trading, especially on Time-Series-Momentum strategy and Cross-Sectional-Momentum strategy from Markowitz gPear P.S I think what the Romans did back then was pretty smart; copying the great stuff from other people (e.g. gladius, iron helmets, manipular system) and improving them. Same applies for life 🧙‍♂️

Finally coming home !

Very accurate

Bullish

Just found out that execution via maker-orders on @Lighter_xyz costs 0% fees and also doesn't have 300ms latency compared to taker-orders Might be useful for algo-trading

Listening to smarter traders always helpful for my pair-trades on @pear_protocol

Taking that long bitcoin:native short $MSTR trade on @pear_protocol 1d Chart looks like it got some room left to move upwards @grok @pear_protocol what do you think?

Big problem for onchain RWA's are funding rates in my opinion Dont think people with big money want to pay 10% yearly just to hold gold or 4% to simply to hold the S&P500