@JuliieH21@clem_garin La pression a fait d'elle quelqu'un de très irritable. Je l'ai cotoyé en dehors de son travail, c'était une autre personne. C'est malheureux :(
@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.
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.
@jacq_capital@re@rami_poker how else would you recommend viewing yield farms from a risk adjusted pov?
and also i agree, smart contract tail risks are hard to underwrite. but using insurance cover can serve as a good proxy and SHOULD typically be overpriced since the insurance company must take a split
Voici comment on effectue une stratégie de persuasion massive voire même une forme de manipulation douce, voici une déconstruction critique des éléments :
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