Sahara AI price

A strategy that leads to profits right from the start can be very satisfying; having profits allows you to hold your position, while being stuck in a loss makes you hesitate about whether to exit. So how can you start off with profits? Let me share some personal experiences, using $SAHARA as an example. First, look at a larger timeframe; here we take the 4-hour chart as a reference. It’s clear to see a significant downtrend, characterized by rapid declines, steep drops, slow rebounds, and weak recoveries. The second time a downward movement forms is a key moment to pay attention to, as it may lead to a continuation of the larger trend, which means more space and a better risk-reward ratio. Next, refer to the 15-minute level for entry; the highs are becoming lower, and the performance shows a sharp decline, a steep drop, and weak rebounds.

🌎 118 countries and counting. The future of decentralized AI is borderless — and $SAHARA is already reaching every corner of the globe. Grateful to @buidlpad for helping us make it real. #AIforALL 🔆

there are 195 countries in the world and buidlpad saw users from 118 of them join our latest $SAHARA community distribution. every country, every corner will capitalize on fair community distributions. soon.

🔥 Biteye AI Daily Report July 11 Today's sector market cap: $10.7B +8.02% Celebrations all around, the sector has surged continuously, has the bull returned? 📈 24h Coingecko Trading Volume Top 10: Token Volume Market Cap Price Volatility 1- $VIRTUAL $355.7M $1.2B $1.77 +11.6% 2- $BANANAS31 $318.7M $557.2M $0.06 +129.4% 3- $SAHARA $212.6M $163.8M $0.08 +3.3% 4- $TAO $165.2M $3.5B $375.02 +7.4% 5- $AI16Z $116.7M $208.0M $0.19 +11.9% 6- $AIXBT $109.6M $147.8M $0.16 +6.5% 7- $ZEREBRO $69.8M $33.3M $0.03 -22.4% 8- $KAITO $66.7M $397.8M $1.65 +9.4% 9- $COOKIE $58.2M $110.5M $0.20 +19.0% 10- $GOAT $50.3M $131.8M $0.13 +26.3% ⭐️ Key Information 1. @xai launched Grok-4: Claimed to be the "smartest AI on the planet," Heavy version monthly fee $300 - Two versions launched: Grok-4 and Grok-4 Heavy, with a training volume 10× that of Grok-3. - In the vending-bench commercial benchmark, it can operate vending machines automatically for a long time: managing inventory, bargaining, pricing, etc., with the highest "profitability" on the leaderboard. - Multimodal functionality will be launched soon. Comment: Extremely impressive, even if the monthly fee is high, as long as it can truly "print money," companies will still pay up. 2. @gizatechxyz × @RektHQ: Recommended flow "open cover verification" In addition to the previously launched stablecoin yield optimization AI Agent, Giza also aims to build on-chain zkML infrastructure; RektHQ is an on-chain security/data media. This collaboration: - Uses Giza's zero-knowledge proof (ZKP) to turn RektHQ's recommendations into verifiable "receipts"—just click in the browser to prove that this content was indeed selected by an open-source algorithm, not pushed by ads. - Goal: Say goodbye to the black box of social platforms and return control to users. Comment: In the future, when scrolling through the feed, no need to guess "is this paid promotion?" Authenticity can be verified with one click. 3. @near_ai introduces Shade Agents: Contracts will manage keys and place orders themselves - Packages TEE (Trusted Execution Environment) + NEAR chain signature into an Agent Contract - Developers can register Worker Agents running in TEE, securely signing transactions without ever custodial. Comment: An official framework launched, aiming to achieve true "self-managing robot finance," without needing to trust a company or manage private keys themselves. 4. @FireworksAI_HQ: Using models to train models, creative writing win rate 93.8% Fireworks AI is a "cloud matching platform for open-source large models"—helping developers save the hassle of building their own GPUs and tuning, with API services that are ready to use and adjustable. This innovation: - Uses Qwen3-235B to give Qwen2.5-32B a "referee" reward, performing reinforcement fine-tuning on the latter. - The tuned model vs. the original model: writing competition win rate as high as 93.8%. Comment: Training models with models, the idea of reinforcement learning (here is Reinforcement Finetuning, RFT) is feasible. 📊 Data source: @xhunt_ai, Cookie DAO, Coingecko 💡 Risk Warning: The above is for information sharing only and is not investment advice.

brought a community-first distribution of $SAHARA to over 30k retail users allowing them to express their support and not become exit liquidity