Rubby Intern

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Rubby Intern

Rubby Intern

@RUB_Intern

@RubiFi_HL First ever decentralised market making platform Rub or gey Intern

Katılım Mayıs 2025
172 Takip Edilen365 Takipçiler
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Rubby Intern
Rubby Intern@RUB_Intern·
Content bounty is pretty cool, there might be some hidden rewards 👀. If you are still sidelined on Rubifi, here's your chance to get positioned.
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HyHome.hl🐈🏠
HyHome.hl🐈🏠@Hypl_Home·
Day 3 of crafting content and interesting lore on @RubiFi_HL ahead of the bounty’s End . They thought they'd purged the last of us. They forgot the primal fury of a tactical kitten. We don't retreat. We don't surrender. We only advance. We are the RUBBERS Hyperliquid
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HyHome.hl🐈🏠@Hypl_Home

Day 2 of crafting content abd interesting lore on @RubiFi_HL ahead of the bounty’s end. You should get in before @RUB_Intern takes it all 😁😁😎. In the deepest thickets of the blockchain forest resides Alchemist Glimmerpaw, a master of @RubiFi_HL Finance. He wears the Refinable Rub logo on his hat, a symbol not of power, but of precise control over the ethereal element of Liquidity. Glimmerpaw doesn't chase gold; he commands it. With his staff, carved from a shard of the earliest decentralized exchange, he conjures torrents of digital coins, shaping the very flow of capital. The glowing cubes around him are Liquidity Pools, shimmering conduits that hum with his focused will. He ensures that trades are smooth, swaps are swift, and the market never seizes. Legends say his magic isn't about conjuring wealth from nothing, but about orchestrating its movement, guiding it to where it's needed most, always maintaining equilibrium. He is the quiet guardian of the market's pulse, ensuring that the rivers of crypto never run dry. Hyperliquid

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Rubby Intern
Rubby Intern@RUB_Intern·
@smgamm u had s0 points as long as u created a profile on the website, pretty sure u were top 10
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Rubby Intern
Rubby Intern@RUB_Intern·
RUB points are a token of appreciation Thank you for your attention to this matter
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HyHome.hl🐈🏠
HyHome.hl🐈🏠@Hypl_Home·
Day 1 of crafting content and interesting lore on @RubiFi_HL ahead of the bounty’s end . Mizuchi, the Hyperliquid Cat, is a veteran DeFi navigator. He uses his sharp eyes to spot arbitrage in the volatile Hyperliquid Ocean. And guess what token his trying to catch an entry on !!? $RUB
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Ramen🍜
Ramen🍜@Ramen_HL·
Prediction: $RUB will distribute tokens to our community at least 3 times before projects that existed before us TGE Also a fun note, the percentage of tokens distributed to the community will exceed 100% of supply as the initial airdrop was for 95% of supply
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PiP
PiP@PiPonHL·
Meet liquidity’s favourite child, RubiPiP 🌊💦
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dekatron
dekatron@dekatrn·
"RubiFi empowers users to participate in advanced strategies formerly only available to whales and professional organizations" ■Market making strategies are the tactics used by market makers to generate profits from the bid-ask spread. Again, market makers are financial institutions or individuals(whales) who buy and sell securities to ensure market liquidity. they quote both a buy and a sell price in a financial instrument or commodity, hoping to make a profit on the bid-offer spread. also, they must balance the need to make a profit with the risk of holding a large inventory (of tokens) that could lose value. they require a deep understanding of market dynamics, a keen eye for trends, and the ability to make quick decisions based on a multitude of factors. ■Why are Market Making Strategies Employed? a. provide liquidity b. earn profit c. manage risk d. avoid toxic order flow e. exploit inefficiencies ■Common Market Making Strategies 1. Basic Quoting Strategies these are the simplest and foundational strategies employed by makers. Two brief examples are: a. Constant Spread Quoting this simply means keeping bid/ask prices at a fixed distance around a mid-price. let's say $Hype mid-price is $50. the market maker decides to keep a constant spread of 0.006 (0.6%) Bid Price = 49.997 Ask(Sell) Price = 50.003 if the price moves to $51, the "bot" automatically shifts to Bid Price = 50.997 Ask(Sell) Price = 51.003 irrespective of the mid-price, the spread remains constant. The formula used is: Bid = Mid-price x (1 - s/2), Ask = Mid-price x (1 + s/2) where "s" is the spread percentage. b. Pegged Quoting pegged quoting means your bid and ask prices automatically follow a moving market reference, such as: i. best bid / best ask (top of book) ii. mid-price (average of best bid & ask) iii. last traded price iv. index price (for perps or cross-markets) so, instead of quoting a fixed absolute price, you quote relative to the live market. say $HYPE mid-price = $50.000 You decide to peg your quotes at ±0.3% around the mid-price. Then: Bid = $49.9985 Ask = $50.0015 if the mid-price moves to a new price, ut automatically re-pegs. the market maker always posts a buy and sell order around the mid-price. if price changes, quotes move with it. this market making strategy(quoting, in general) is done to capture the spread repeatedly. It is used when the market is stable and liquidity is deep. 2. Inventory-Based Market Making this strategy aims to balance risk by managing how much of an asset the maker holds. it adjusts the bid and asks quotes based on your current inventory(holdings) to make sure the marker maker stays market neutral. large inventory (holding too much of an asset) opens them to directional exposure. staying near a target inventory while still earning spreads is achieved using this strategy. 3. Volatility-Adaptive Market Making here, the spread width and order size are adjusted based on market volatility. ○if volatility spikes, it widens spreads (protect against price jumps). ○if volatility drops, it tightens spreads (to win more trades). this helps balance both risk exposure and execution frequency. it is often used by algorithmic desks and AMMs in volatile perps markets. 4. Order Flow–Aware(Flow-Adaptive) Strategies these help monitor incoming trades and cancelled orders to detect “toxic” or informed flow. ○if order flow is one-sided or aggressive, spreads are widened, or quotes are pulled off the orderbooks ○if flow is balanced, spreads are tightened to maximize participation. this strategy helps to avoid getting run over by informed traders (e.g., whales or liquidation bots). In an advanced setting, machine learning can be used to predict toxicity using trade patterns. other strategies include: 5. Statistical Arbitrage (Stat-Arb) Market Making 6. Cross-Market / Cross-Exchange Market Making 7. Hedged Market Making 8. Machine Learning / Predictive Market Making
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RIC.ETH Σ:
RIC.ETH Σ:@ric_ethX·
@RubiFi_HL — How Hyperliquid is letting everyday users play the same game as Wall Street whales. This isn’t another DeFi buzzword. It’s a legit shift in power. Let’s break it down. 👇 @RUB_Intern
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SΛGΞWHΛLΞ.HL✦
SΛGΞWHΛLΞ.HL✦@SageWhale·
Breaking news: You can’t stop the RUB! Thanks for your attention to this matter.
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Tami.hl
Tami.hl@Tami_hll·
Let’s talk about one of the most interesting plays inside Hyperliquid right now: RubiFi (@RubiFi_HL). A project that’s taking something usually reserved for whales & institutions,market making,and opening it up to everyone. 🧵
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Berry🧃
Berry🧃@y0_berry·
So @RubiFi_HL just had some UI leaks, and ngl…..it’s pretty stacked, definitely not your regular ole dashboards. •There’s a points dashboard which unlike most protocols on hyperliquid rn they actually show you where your points are coming from, which means better farming strategy 🥂 •and apparently with what is on there you’ll be earning points from protocol usage, staked $RUB,refarrals & mhype (Max hype). •Also the request vault feature is kinda of a no brainer if you think about it..considering the problem they trying to solve projects can literally apply for their own vaults (they will be vetted ofc) directly inside the app..talk about accessibility 🥂 They cooked on this one icl..Grub
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