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Introducing Quant Trading Strategy in Sorin: build, backtest, and monitor crypto strategies without code. Most traders do not lack trading ideas. They know the setups they look for: follow the trend, trade the breakout, buy the pullback, or wait for confirmation before entering. The difficult part is turning that idea into exact rules, testing whether those rules have held up in different market conditions, and watching for the next opportunity without living on a chart. Today, Sahara AI Ltd. is launching Quant Trading Strategy in Sorin: a complete no-code workflow for building, backtesting, and monitoring crypto trading strategies. Start with a strategy you already understand. Quant Trading Strategy launches with 10 starting frameworks organized around three familiar types of market behavior. Trend strategies look for price moves that continue while trend, volume, and funding conditions remain aligned: * Time-Series Momentum * Turtle * Ichimoku Breakout strategies wait for price to leave a defined range and require additional confirmation before producing a signal: * Bollinger Squeeze * Darvas Box * Dual Thrust * Opening Range Pullback and reversal strategies look for signs that a move has stretched too far and may begin moving back toward its recent range: * Bollinger Mean Reversion * Connors RSI * Stochastic RSI You can use any framework as it is or treat it as the starting point for your own strategy. Instead of building the entire system from a blank page, you begin with defined entry and exit logic that you can inspect, understand, and change. See exactly how each strategy works. Quant Trading Strategy is not a library of unexplained buy and sell signals. Open any strategy to see what it is designed to do, the market and timeframe it uses, its long and short entry conditions, the filters that can block a signal, its exit logic, and its risk settings. From the same strategy page, you can review the full analysis, customize the rules, create a backtest, or set up a monitor. That visibility matters. Before testing a strategy or acting on one of its signals, you should be able to understand what conditions Sorin is actually evaluating. Customize the rules around how you trade. Every starting strategy is customizable. You can change the timeframe, indicator thresholds, entry and exit rules, confirmation filters, funding limits, and risk settings through Sorin's guided workflow or by describing the changes directly. For example, suppose you want fewer, higher-conviction BTC trend signals. You could start with Time-Series Momentum and tell Sorin to: * Use four-hour candles to reduce short-term noise * Raise the trend and volume thresholds * Add a funding cap to avoid entries when the perpetual market has become too crowded or expensive Sorin turns those changes into a new strategy version that you can review and test separately. The original framework remains available, allowing you to compare different variations without losing the setup you started from. Backtest any strategy you create against real market history. Every saved strategy version can be run directly against historical candle data. Sorin applies the exact entry, exit, filter, and risk rules you created, candle by candle, so the backtest reflects the strategy you actually intend to monitor. Choose the market, starting balance, and historical period you want to test. You can evaluate the strategy against: The closest historical analog to today A previous market window that most closely resembles current conditions. A favorable regime Conditions that should align with the strategy's intended behavior. An adverse regime A market environment that should challenge the strategy. A peak-stress period An extreme market window designed to expose potential weaknesses. Your own dates A specific rally, selloff, market event, or range that you want to examine. This makes it possible to test more than whether a strategy worked during one convenient period. You can ask how it behaved when conditions changed, when volatility increased, or when the market moved against the type of setup it was designed to trade. Every Sorin backtest includes: * Net return and final equity * Performance compared with buy-and-hold * Maximum drawdown * Win rate * Profit factor * Average profit and loss * Total trade count * The full equity curve * Every entry, exit, and exit reason Trade count is especially important. A strong return built on only two or four trades should not carry the same weight as a result supported by dozens of trades. Sorin gives you the performance, risk, sample size, and trade-level evidence together so you can judge the result in context rather than relying on a single headline percentage. You can also test the same saved strategy across different markets while keeping the rules and historical dates fixed. Compare BTC, ETH, and SOL, for example, to see whether the behavior repeats across markets or whether the strategy only appeared to work on one coin. Turn a backtested strategy into a live market monitor. Once you have a strategy version that is worth watching, you can turn it into a live monitor on one of 30 USDC perpetual markets. The monitor keeps the exact entry conditions, exit conditions, and filters from the version you tested. Sorin checks the selected market every five minutes and alerts you only when the full setup appears. Alerts can be delivered through: * Web * Email * Telegram This closes the gap between research and live monitoring. You do not have to reconstruct the strategy in a separate alerting tool or manually watch every indicator on a chart. The same version you reviewed and backtested is the version Sorin continues to evaluate. When the conditions line up, Sorin sends the signal. You decide whether you want to act on it. Get started today! With Quant Trading Strategy, Sorin now gives traders one connected workflow for: Choosing a strategy | inspecting the rules | customizing the setup | backtesting the exact version | monitoring it live V1 is focused on strategy research, customization, historical testing, monitoring, and alerts. It does not execute orders. Next, Sahara AI Ltd. plan to expand the strategy system with additional capabilities and user controls as Sahara AI Ltd. work toward closing the loop with autonomous execution. Build, test, and monitor your own crypto trading strategies in Sorin: https://heysorin.ai/quantitative-trading

Sahara AI integrates Coinbase to give any AI agent its own wallet and payments. AI agents can already research, use tools, call APIs, and run autonomously. But the moment they need to pay for something, most workflows stop and wait for a human. Sahara AI is changing that with native Coinbase Agentic Wallet support in ClawApp. Now anyone can give an AI agent its own wallet and budget in seconds. Fund it, set its spending limits, and the agent can pay for APIs, data, compute, and other services on its own while it works. No CLI. No seed phrase. No local key management. And no giving an agent access to your personal wallet. With support for Coinbase's x402 payment protocol, a ClawApp agent can encounter a paid service, pay for it in USDC, and continue its task without waiting for you to step in. Find what it needs | pay for it | keep working. Coinbase is one of three native wallet integrations rolling out across ClawApp, alongside OKX and MetaMask, as Sahara AI makes wallets and payments a standard part of building autonomous agents. What does the Coinbase integration let ClawApp agents do? The integration gives any ClawApp agent its own ability to make payments. A user can create an agent, give it a Coinbase Agentic Wallet, fund that wallet with a defined budget, and let the agent use those funds when an authorized task requires payment. For example: Research a market | find a premium data source | pay for access | retrieve the data | finish the analysis Run an automation | discover an API needed for the task | pay for the API | keep working Find additional compute | pay for it | complete the job The important part is that the payment no longer needs to pull a human back into the workflow. Why do AI agents need access to payments? The internet is increasingly becoming a marketplace for AI agents. Useful data costs money. Compute costs money. APIs cost money. Specialized models and services cost money. An autonomous agent can be smart enough to discover exactly what it needs, but without a way to pay, it still has to stop and ask a person to complete the transaction. Giving the agent its own wallet closes that gap. Instead of giving an agent your personal wallet, you can give it a separate budget specifically for the work it performs. That means an agent can have: * Its own balance * Its own spending limits * Its own transaction history * Its own payments * Its own financial permissions You decide how much access it gets. The agent can operate independently within those boundaries. What is Coinbase Agentic Wallet? Coinbase Agentic Wallet is wallet infrastructure built for AI agents. It allows autonomous software to hold and use funds without requiring the underlying AI model to manage a private key itself. With Coinbase Agentic Wallet in ClawApp, users can give an agent financial capabilities such as: * Paying for APIs * Paying for data * Buying compute * Paying for other digital services * Sending USDC * Making x402 payments * Trading and other supported onchain actions The wallet belongs to the agent's workflow rather than requiring users to connect the wallet where they keep their personal assets. How easy is it to give an AI agent a Coinbase wallet? Setup takes seconds inside ClawApp: * Open Agentic Wallet * Select Coinbase * Sign in with your email * Fund the wallet * Set the appropriate limits * Give it to your agent ClawApp handles the underlying setup. There is no CLI configuration, seed phrase, or local signing key to manage. That accessibility is important to what Sahara AI Ltd. is building with ClawApp. Agentic payments shouldn't be something only developers can configure. Giving an agent a wallet should eventually feel as normal as choosing its model or installing a Skill. How can an AI agent pay for APIs and services? The Coinbase integration brings support for x402, an open protocol for machine-native payments. Instead of requiring an account, subscription, credit card form, or traditional checkout, an x402-enabled service can request payment directly within the agent's workflow. The flow can happen automatically: Agent requests a resource | payment is required | agent pays in USDC | resource is unlocked | agent continues For autonomous agents, that is a major difference. A scheduled agent running in the middle of the night doesn't need to stop because the next piece of data costs $0.10. If you've given it the appropriate budget and permissions, it can make the payment and keep going. What can AI agents pay for with x402? The x402 ecosystem is being built around services that software can discover and purchase programmatically. That can include: * Search * Data * Market intelligence * Premium APIs * AI inference * Compute * Research tools * Content * Other digital services ClawApp also surfaces Coinbase's x402 Bazaar through Discover, making it easier to find services designed specifically for machine payments. That creates a much more complete agent workflow: Discover | evaluate | pay | use | continue working As more x402 services become available, agents gain access to more resources without every individual service needing to be manually integrated into ClawApp. Does the AI agent control the private key? Private keys remain isolated within Coinbase's wallet infrastructure and are not exposed to the agent or the underlying LLM. That separation is important. The agent needs the ability to make authorized payments. It does not need unrestricted access to the cryptographic key controlling the wallet. Users can also define spending limits so the agent operates within a budget rather than receiving open-ended financial authority. Why give an AI agent its own wallet instead of using mine? Because the safest way to give an autonomous agent spending power isn't to hand it the wallet containing your own assets. Give the agent its own wallet instead. A research agent might have $20 available for APIs. A developer agent could have a dedicated compute budget. A market agent might have a separate wallet for paid data. Different agents can have different balances and permissions depending on the jobs they perform. This makes financial access scoped to the agent, while keeping its activity separate from your personal wallet and other agents. What happens when a ClawApp agent encounters an x402 paywall? If the agent has a Coinbase Agentic Wallet with the appropriate funds and permissions, it can pay and continue working. For example: * Your agent is researching a market. * It discovers that the best dataset is available through a paid API. * The API requests an x402 payment. * The agent pays the required amount in USDC from its own wallet. * It receives the data. * It finishes the research task. Without payments, step three can end an autonomous workflow. With payments, it becomes just another step. Why is Sahara AI building payments directly into AI agents? Sahara AI Ltd. believe autonomous agents will eventually need their own economic capabilities. Agents already have access to increasingly powerful models. They have memory. They can use tools and Skills. They can run scheduled work without a human sitting in front of them. But truly autonomous agents will also need to buy the resources required to complete their work. That makes wallets and payments part of the agent stack. ClawApp is designed to make that entire stack accessible without requiring users to build it themselves. You can choose an agent's model, give it Skills and tools, schedule its work, define its permissions - and now give it its own wallet. Is Coinbase the only wallet integration coming to ClawApp? Coinbase is one of three native wallet integrations in Sahara AI's current rollout: * Coinbase Agentic Wallet * OKX Agentic Wallet + OnchainOS * MetaMask Each gives ClawApp agents different ways to interact economically and onchain. Coinbase is particularly powerful for payments, allowing agents to use USDC and x402 to purchase the APIs, data, compute, and services they need while they work. Together, these integrations are part of a broader goal: make giving an AI agent a wallet as easy as giving it a model or a Skill. What does this mean for autonomous AI agents? The next generation of agents won't only answer questions. They'll run businesses, perform research, monitor markets, use paid software, purchase data, call models, interact onchain, and coordinate with other agents. That requires a way to transact. With Coinbase Agentic Wallet now native in ClawApp, anyone can give an agent its own wallet and spending power in seconds. Give it a budget. Set the limits. Let it pay for what it needs. Then let it keep working. Coinbase Agentic Wallet support is live now in ClawApp.