Largo W!nch

@ChienSurpris Pour avoir été proche des propriétaires, il n'y a AUCUN RAPPORT avec l'émission. Ca fait des années qu'ils essayaient de vendre. Ils ont acheté l'affaire chère et ne désirait pas revendre à perte. D'autres détails personnelles rentrent en compte mais je ne l'étalerai pas ici.

Il n’y a vraiment plus rien qui tient en France

Donc une boîte de 8 Doliprane 1000 mg coûte environ 0,10 à 0,15€ à produire, conditionnement inclus. Prix en pharmacie française Doliprane 1000 mg, boîte de 8 : ~2,20€ en moyenne Soit un facteur ~15-20× le coût de production. Ah bah ouais !! 🤡🤡

I'd view it with a risk reward framing because yield farming is a TRADE (A) Upside : 1 : Thinking in terms of ROI and never APY because : - APY extrapolates over a year whereas you usually hold farming for a month, on average your ROI is APY/12, it then become useful to compare with any kind of other investment (example : what was your opportunity cost to play that APY/12 vs Gold started a 10% rally in that same period of time) - APY fluctuates and is based on past events, it can also be manipulated by team (controlled yield distribution to a vault to smooth the yield over time). - Calculating (anticipated) ROI will force you to dig how the protocols generate yield and understand the underlying assets rather than trust a naive on-chain function based on stale data. - Most important point : ROI framing forces you to integrate all the friction costs (slippage, fees, depeg max drawdown if you buy in the high range...). You'll find a lot of surprises and your breakeven point (how long I must hold at least). 2 : Always compare with risk-free such as T-Bills, if yield is around 5% to 6%, why would I bother taking the premium ? 3 : Predictive markets offer great information about project's valuation on which often depends the ROI (B) Downside : "Qualitative criteria and some principles" 1 : Anything way higher than the mean of the market is suspicious 2 : Anything tied to off-chain liquidity should provide transparency and guarantees (if RWA, how big are the third parties comparing to on-chain TVL etc) 3 : Smart contracts audits are worthless but always interesting to read for finding the real weak points and how team handles audited bugs (spoiler : they often ship partially unpatched smart contracts despite the audit warnings) 4 : Yield is a zero sum game, it must be clear to you HOW and WHO is losing (ex : PT/YT, bulls pay bears' yield) 5 : Always favor organic yield and ideally not TOO tied to season, cycle, market conditions (ex : funding rates). "Quantitative and measurable risks" > I don't agree with their safety scores and risk adjusted yields but @PharosWatch are doing a great job in providing on-chain unbiased and clear metrics about peg stress, liquidity and dependency risks 1 : Liquidity is KING, are secondary markets available and liquid to swap yield bearing assets ? Is pendle liquidity good enough ? Is there a cooldown for swapping ? 2 : Over leveraged TVL and looped yield is quite a threat in case of tail risk events (i'd rather keep a watch/depeg alerts as a buying opportunity if the rest is solid) 3 : Predictive markets will become a great proxies to get probabilities about tail risk (hack etc) I can provide a full case study on recent STRC yield farming projects if interested.

Voilà, avec tout ce discours de notre charmante interne qui nous veut que du bien, on a tout pour voter l'option 2 n'est-ce pas ;-)

Transparence sélective ✅ On met en avant la transparence sur certains points pour masquer les zones d’ombre

Voici comment on effectue une stratégie de persuasion massive voire même une forme de manipulation douce, voici une déconstruction critique des éléments :