
Initial Baseline Value (IBLV) Event
Baseline mechanics were built with fairness in mind. As is common with any launch, however, technically advanced adversaries can and will use sniper bots to secure entry at the cheapest price, leaving the rest of participants buying at risk premiums. To address this unfair dynamic, we’re launching the Initial Baseline Value (IBLV) Event!The Initial Baseline Value (IBLV) EventThe IBLV Event is an opportunity for qualified community members to participate in setting the Initial Baseline Value (...

Case Study: Baseline Market Maker's First $2.3M Stress Test
On March 11th, YES underwent its first major stress test with a $2.3M sell-off. Traditional AMMs often struggle to handle large dumps without severe price collapses. However, Baseline’s V3 Market Maker (BMM) absorbed the pressure efficiently, proving its ability to mitigate volatility while maintaining price stability.Key Metrics💰 Total Sell-Off: $2.3M 📉 Price Impact: -15% 📉 Market Cap Drop: $61M → $51M ⚖️ Liquidity Depth: Adjusted dynamically to absorb large sells Without BMM, a standard ...

Case Study: $YES
Welcome to the case study of $YES, the first ERC20 token powered by Baseline. YES was purposely designed to demonstrate the capabilities of Baseline’s up-only technology. In this article, we'll get into pivotal events that shaped its journey, helping to paint a better picture of how Baseline is revolutionizing token launches and reach maturity.Study Baseline, study YESBaseline-powered chartBefore we explain what makes Baseline tick, a primer: Above is what a Baseline-powered chart looks ...
A Token. A Market. A Movement. Exit the Doom Loop: Say YES. Creators of Baseline Protocol, $YES and $BSR

Initial Baseline Value (IBLV) Event
Baseline mechanics were built with fairness in mind. As is common with any launch, however, technically advanced adversaries can and will use sniper bots to secure entry at the cheapest price, leaving the rest of participants buying at risk premiums. To address this unfair dynamic, we’re launching the Initial Baseline Value (IBLV) Event!The Initial Baseline Value (IBLV) EventThe IBLV Event is an opportunity for qualified community members to participate in setting the Initial Baseline Value (...

Case Study: Baseline Market Maker's First $2.3M Stress Test
On March 11th, YES underwent its first major stress test with a $2.3M sell-off. Traditional AMMs often struggle to handle large dumps without severe price collapses. However, Baseline’s V3 Market Maker (BMM) absorbed the pressure efficiently, proving its ability to mitigate volatility while maintaining price stability.Key Metrics💰 Total Sell-Off: $2.3M 📉 Price Impact: -15% 📉 Market Cap Drop: $61M → $51M ⚖️ Liquidity Depth: Adjusted dynamically to absorb large sells Without BMM, a standard ...

Case Study: $YES
Welcome to the case study of $YES, the first ERC20 token powered by Baseline. YES was purposely designed to demonstrate the capabilities of Baseline’s up-only technology. In this article, we'll get into pivotal events that shaped its journey, helping to paint a better picture of how Baseline is revolutionizing token launches and reach maturity.Study Baseline, study YESBaseline-powered chartBefore we explain what makes Baseline tick, a primer: Above is what a Baseline-powered chart looks ...
A Token. A Market. A Movement. Exit the Doom Loop: Say YES. Creators of Baseline Protocol, $YES and $BSR

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One of the biggest threats to a token launch is sniping: when bots or insiders front-run the early trades to extract value, often before your community even has a chance to participate.
Rather than relying on blacklists, cooldowns, or centralized restrictions, Baseline solves sniping at the market level through a smart, automated liquidity engine that removes the incentive to snipe altogether.
Baseline prevents sniping through an elegant system that pulls the active price back toward the EMA (exponential moving average) whenever someone tries to push it too far from fair value. This mechanism prevents the kind of runaway candles that snipers typically exploit at launch. At the same time, Baseline dynamically reshapes liquidity in response to the trade by thinning it out in the direction of the snipe while reinforcing liquidity closer to the EMA.
For example: If a sniper buys at $4 while the EMA is $1.80, the system quickly adjusts: the next buyer doesn't continue at $4, but instead gets filled at a lower price, around $2 or $3. The sniper, expecting to flip for profit, is now holding an overpriced position with no exit liquidity above them unless they’re willing to sell at a loss.
This is the core insight of Baseline's approach: instead of banning wallets or adding artificial delays, it makes sniping unprofitable through market design. The system auto-corrects mispriced trades, which removes the incentive to snipe in the first place. The result is smoother launches, better price discovery, and most importantly, the sniper becomes the exit liquidity.
Launching a token is about more than price, it’s about momentum, trust, and legitimacy.
Sniping kills all three. Baseline gives founders peace of mind that their chart will reflect real demand, not manipulative behavior.
✅ Fairer price discovery
✅ Smooth early price action
✅ No rug-pull optics
✅ No post-launch panic
✅ Stronger community confidence
You don’t have to micromanage or add launch restrictions. The system defends itself and your project.
Learn about Baseline trade, stake, borrow, and leverage: baseline.market
One of the biggest threats to a token launch is sniping: when bots or insiders front-run the early trades to extract value, often before your community even has a chance to participate.
Rather than relying on blacklists, cooldowns, or centralized restrictions, Baseline solves sniping at the market level through a smart, automated liquidity engine that removes the incentive to snipe altogether.
Baseline prevents sniping through an elegant system that pulls the active price back toward the EMA (exponential moving average) whenever someone tries to push it too far from fair value. This mechanism prevents the kind of runaway candles that snipers typically exploit at launch. At the same time, Baseline dynamically reshapes liquidity in response to the trade by thinning it out in the direction of the snipe while reinforcing liquidity closer to the EMA.
For example: If a sniper buys at $4 while the EMA is $1.80, the system quickly adjusts: the next buyer doesn't continue at $4, but instead gets filled at a lower price, around $2 or $3. The sniper, expecting to flip for profit, is now holding an overpriced position with no exit liquidity above them unless they’re willing to sell at a loss.
This is the core insight of Baseline's approach: instead of banning wallets or adding artificial delays, it makes sniping unprofitable through market design. The system auto-corrects mispriced trades, which removes the incentive to snipe in the first place. The result is smoother launches, better price discovery, and most importantly, the sniper becomes the exit liquidity.
Launching a token is about more than price, it’s about momentum, trust, and legitimacy.
Sniping kills all three. Baseline gives founders peace of mind that their chart will reflect real demand, not manipulative behavior.
✅ Fairer price discovery
✅ Smooth early price action
✅ No rug-pull optics
✅ No post-launch panic
✅ Stronger community confidence
You don’t have to micromanage or add launch restrictions. The system defends itself and your project.
Learn about Baseline trade, stake, borrow, and leverage: baseline.market
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