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Pre-earnings stock scanner with ranked setups, targets, and earnings data AI Market Cap is a pre-earnings stock scanner focused on technology and related stocks. It ranks a 100-stock watchlist using analyst coverage, buy ratings, strong-buy counts, recent price movement, and earnings sentiment. The site displays earnings dates, scores, current prices, estimated 3-, 7-, and 14-day targets, analyst data, implied volatility, sentiment, and recent news. Its paid Pro subscription provides daily picks with entry, targets, and stop-loss levels, ranked plays, AI chat, and earnings alerts. The site also offers a free daily email with ticker, score, price, and days until earnings.

AI-powered market replay and strategy backtesting for multiple asset classes. Tradebreath is a web-based trading strategy backtesting and market replay platform for forex, stocks, crypto, commodities, indices, ETFs, and bonds. It lets traders manually replay historical markets tick by tick or use an AI agent to create and run strategies from plain-language instructions. The platform provides historical data, charting tools, technical indicators, multi-chart replay, custom data uploads, strategy versioning, AI-generated order lists, performance reports, Monte Carlo simulations, and exportable Pine, MQL5, and Python scripts.

Financial platform for managing AI company spending and agent payments Nebula is an AI-focused financial platform for businesses that need to manage spending on inference, cloud computing, and AI agents. It combines business banking services, agent payment cards, spend attribution, treasury tools, and international payouts. Nebula automatically categorizes eligible vendor spending by agent, model, environment, or customer, and lets businesses apply spending limits and merchant controls. Banking and card services are provided by regulated partner institutions; Nebula itself is a financial technology company, not a bank.

On-premises AI infrastructure for regulated organizations Go.AI provides on-premises AI infrastructure for regulated industries, including banking, healthcare, insurance, and credit unions. Its platform combines the Go1 hardware appliance, Go.OS, Index Studio, Go Assist, and Go Studio to run AI models and retrieve information while keeping data within an organization's infrastructure. The website describes security, governance, auditability, compliance, and deployment options, and provides information for requesting a demo or custom quote.

API Pull is an API platform for financial and identity verification. Access endpoints covering identity, tax, social security, credit, and education records for Mexico, Chile, and Colombia—with documented coverage and limits.

StratVerra turns a plain-English options strategy into a no-code backtest on minute-level data with real costs, then trades it live through the same engine. Most options traders test ideas in one of two ways: a spreadsheet that can't really model how options behave, or a backtesting tool that needs you to write code. StratVerra sits in the gap between those. You tell it what you want to trade the way you'd explain it to another trader, and it builds the strategy for you. Here's how it actually works. You start by describing a strategy. Something like "sell a 30-delta put spread on SPY when IV rank is above 50, close at 50% profit or 21 days to expiration." The AI turns that into a structured strategy you can see and edit in the no-code builder. If the AI got a detail wrong, you fix it by clicking, not by debugging. Then you backtest it. This is where the data matters. StratVerra runs on hosted minute-level historical options data, so your fills reflect what the market actually looked like intraday rather than end-of-day snapshots that hide the moves you'd have traded through. The backtest models slippage and commissions too, because a strategy that looks great before costs often looks very different once you account for what you'd really pay to get in and out. Every backtest is reproducible. Run it today, run it in three months, same inputs give you the same result. That sounds obvious until you've used tools where it isn't true. The part that sets StratVerra apart is what happens after the backtest. The same engine that ran your simulation runs your live trades. A lot of platforms backtest in one system and trade in another, which means the behavior you validated isn't guaranteed to match what executes against real money. StratVerra uses one engine for both, so there's no translation gap between "what I tested" and "what my broker did." You can run a strategy in shadow mode to watch it make decisions without placing orders, move to paper trading to test the full execution path, and go live through a supported broker when you've seen enough. One thing worth being straight about: backtest results are simulated. They show how a strategy would have behaved on past data with modeled costs, and past behavior is not a promise about future trades. The value isn't a guarantee of profit. It's that you get to pressure-test your assumptions before any capital is on the line, and you do it with data and cost modeling that reflect how options actually trade.