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BitGW’s Single-Sided AMM Model Highlights a More Collaborative Direction for Crypto Liquidity

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As the crypto market continues to mature, Automated Market Makers (AMMs) are no longer seen solely as tools used by decentralized exchanges. Increasingly, they are becoming part of a broader shift in market structure, where trading platforms combine algorithmic liquidity with centralized execution.

BitGW has been operating a single-sided AMM model for several years, reflecting this evolution. While early AMMs—widely associated with platforms like Uniswap—reshaped how liquidity is created in crypto, newer models are beginning to focus not only on efficiency, but also on accessibility, sustainability, and how value is distributed among participants.

From Traditional AMMs to Single-Sided Liquidity

Early AMM systems typically required users to provide two assets into a liquidity pool. That structure made decentralized trading possible at scale, but it also introduced practical challenges. Users needed to manage paired assets, track price movements across both sides, and accept the possibility of impermanent loss.

Single-sided AMM models take a different approach. Instead of requiring two tokens, they allow users to participate with just one asset. This simplifies the process and lowers the barrier for users seeking liquidity-based returns without managing a more complex pool structure.

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BitGW’s long-running implementation of this model shows how the concept can extend beyond purely decentralized environments.

A Hybrid Model Rather Than a Replacement

Rather than positioning AMMs and order books as competing systems, the market is increasingly moving toward hybrid designs. In this structure, AMM logic contributes to pricing and liquidity formation, while centralized infrastructure provides execution depth, speed, and stability.

BitGW’s model reflects this direction. Its single-sided AMM framework operates within a broader trading environment, combining simplified liquidity participation with the advantages of centralized exchange architecture.

This makes single-sided liquidity more accessible, particularly for users who may be interested in participating but are less inclined to manage the complexity of traditional dual-token AMMs.

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Where the Model Becomes More Meaningful

What makes this structure notable is that the AMM functions not only as a trading mechanism, but also as part of a broader revenue and incentive framework.

BitGW’s revenue structure spans multiple sources, including spot trading fees, swap transactions, AMM operations, and additional mechanisms such as spread capture and asset utilization. These components are directly linked to trading activity and form part of standard exchange infrastructure.

Within this structure, LP participation is connected to the value generated by market activity on the platform. As trading volume and liquidity interaction increase, liquidity providers benefit from the underlying flow they support.

This linkage between trading activity and liquidity participation reflects a model focused on consistency and long-term operational sustainability.

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Profit Sharing as a Cooperative Mechanism

One of the more distinctive aspects of the single-sided AMM framework is how it connects platform activity with user returns.

When users add liquidity, they contribute to the infrastructure supporting trading flow. As that activity grows, LPs share in the value generated within the system. This shifts liquidity provision from a purely technical role to a more active form of participation in the platform’s operating economy.

Such a structure is becoming increasingly relevant in today’s market, where users are paying closer attention not only to yield levels, but also to how that yield is generated and whether the underlying mechanism is sustainable.

For BitGW, this supports a “cooperation rather than extraction” narrative: the platform grows with liquidity, and liquidity providers grow alongside the platform.

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Why Single-Sided AMMs May Matter More Going Forward

As crypto infrastructure evolves, the industry is moving beyond the earliest generation of AMMs. The question is no longer only whether AMMs work, but which models are better suited for broader adoption.

Single-sided designs are gaining attention because they reduce friction, simplify participation, and integrate more naturally with hybrid exchange environments. For platforms seeking both scalability and usability, this approach may prove more practical than traditional dual-token systems alone.

BitGW’s multi-year operation of a single-sided AMM model points in this direction. It suggests that the future of liquidity may not lie in choosing between centralized and decentralized systems, but in combining them in ways that are more efficient, more accessible, and more aligned with participant interests.

About BitGW

BitGW is a digital asset trading platform focused on developing advanced liquidity infrastructure and delivering efficient trading solutions for global users. The platform has also emphasized compliance and regulatory alignment in earlier updates to its AML and KYC framework.

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The post BitGW’s Single-Sided AMM Model Highlights a More Collaborative Direction for Crypto Liquidity appeared first on BeInCrypto.

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Crypto World

Bitcoin up, software stocks down since the war began

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Bitcoin up, software stocks down since the war began

Since the outbreak of the war with Iran on Feb. 28, bitcoin has started to diverge from software equities, with the iShares Expanded Tech-Software Sector ETF (IGV), serving as a useful proxy for the sector.

Bitcoin has been one of the strongest-performing assets during this period, rising more than 5% and trading back above $69,000, including a gain of more than 0.5% over the past 24 hours.

IGV, in contrast, has fallen more than 2% since the conflict began. That gap suggests investors are starting to treat bitcoin and software stocks differently, at least in the near term.

Until recently, the two had moved closely together. Over the past three months, bitcoin fell 26% and the ETF lost 23%. Year to date, both are lower by about 21%. Over five years, bitcoin has gained 18% compared with 10% for IGV. In other words, both have moved in the same direction, but the cryptocurrency has done so with much greater volatility.

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That is also clear in their declines. Bitcoin had fallen roughly 50% from its October all-time high, while IGV, which peaked slightly earlier, fell about 35% from its own top.

The correlation data tells the same story. From early February, bitcoin and IGV were almost perfectly correlated, close to 1.0, meaning they were moving nearly in lockstep. After the war began, that relationship broke down sharply, with the correlation dropping to 0.13, a level that signals near decoupling, before rebounding to around 0.7. The figure can range between -1.0 and +1.0, with 0 indicating no correlation at all.

Why have software stocks been hit harder?

IGV is heavily weighted toward large software and services companies such as Microsoft (MSFT), Oracle (ORCL) and Salesforce (CRM). Investors are increasingly worried that artificial intelligence will compress margins and valuation multiples across software, especially in Software as a Service (SaaS), as competition rises and barriers to entry fall. Bitcoin, meanwhile, is trading more like a macro asset, benefiting from geopolitical uncertainty.

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Bitcoin Trader Eyes Bear Market Bottom as Stochastic RSI Mimics 2023

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Bitcoin Trader Eyes Bear Market Bottom as Stochastic RSI Mimics 2023

Bitcoin (BTC) is copying the end of its 2022 bear market “nearly perfectly,” according to a new BTC price analysis.

Key points:

  • Bitcoin stochastic RSI values are “nearly perfectly” repeating the end of its last bear market, new analysis claims.

  • Both recent local bottoms and the current rebound echo conditions from three years ago.

  • Standard RSI is already on the radar for a potential BTC price bottom signal.

Bitcoin stochastic RSI echoes 2023 rebound

In an X post on Monday, crypto trader Quantum Ascend revealed copycat moves playing out on Bitcoin’s stochastic relative strength index (RSI) indicator.

Stochastic RSI, also known as “stoch RSI,” is a derivative of traditional RSI — a classic leading indicator that helps traders identify overbought and oversold conditions, as well as BTC price trend changes.

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Like its standard counterpart, stoch RSI flashes “oversold” price signals when it drops below 30/100 on its scale, with “overbought” entering when its value is above 70/100.

Stoch RSI moves between those two zones much more quickly, but Quantum Ascend sees a key long-term bull signal now locking in.

“RSI at the EXACT SAME point on the Daily as it was in 2022,” he told X followers.

BTC price and stochastic RSI comparison. Source: Quantum Ascend/X

An accompanying comparative chart shows stoch RSI making a double bottom along with price before both surged higher in early 2023. At the time, BTC/USD had recently set a multiyear low of $15,600 — a level that ended up forming the bear-market bottom.

Now, Quantum Ascend says, the repeat performance is “playing out nearly perfectly.”

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“Breaking above the EXACT SAME level (blue line). At the EXACT SAME time,” he added.

The chart reveals that stoch RSI is now attempting to clear its 50/100 midpoint after two local lows in late January and late March, respectively.

BTC price counts down to bear flag decision

RSI signals have already been firing in 2026 despite lackluster BTC price strength.

Related: First real bull signal since 2025? Five things to know in Bitcoin this week

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As Cointelegraph reported, eyes are on weekly standard RSI to print a bullish divergence with price, again mimicking early 2023.

At the time, weekly RSI set its lowest level on record — one so far not matched in 2026, per data from TradingView.

BTC/USD one-week chart with RSI data. Source: Cointelegraph/TradingView

Bitcoin still faces bearish hurdles to recovery, with traders concerned about a bear-flag breakdown repeating on the daily chart.

“In few days we will understand if the pattern is repeating or not,” analyst Aksel Kibar wrote on X over the weekend.

BTC/USD one-day chart. Source: Aksel Kibar/X