Ai Viral
Paid
Indie SaaS founders shipping with tools like Lovable or Cursor
Most algo trading setups collapse the moment a non-technical trader tries to express a conditional strategy — the code editor opens, the backtest docs are thin, and the idea dies before it's tested. MiDash is built around the premise that the strategy description itself should be enough to generate, backtest, and deploy the bot.
$29/mo · Free tier: 3 commands per day, Simulation broker only, Basic scanner (no save), 1 active alert · Checked Jun 11, 2026
The core workflow is conversational: you describe a trade idea in plain English or Arabic, and the platform's multi-model AI layer — drawing on OpenAI, Anthropic Claude, and Google Gemini — interprets that into a strategy, runs it against tick-level historical data, and routes live execution to a connected broker account. Charting and analysis live in the same interface, so you are not context-switching between a research tab and an execution tab. The autonomous agent layer monitors positions and alerts without requiring you to stay at the screen. Where the architecture shows its limits is at the institutional edge: custom integrations and multi-account portfolio management are paid-only features, so teams hitting that ceiling will need to evaluate whether the platform's API covers the workflows the UI does not.
Bottom line: Pick MiDash if you are a retail or professional trader who needs to go from a plain-language hypothesis to a live backtested bot without writing code — plan a different stack if your institution requires deep programmatic customization the vendor's API does not yet expose.
Explore MiDash with simulation trading
Bring your own AI subscription. Requires an active ChatGPT Plus or Claude Max subscription.
Unlimited trading with real brokers. Billed annually, save $96 a year. Includes 7-day free trial.
Maximum precision with 1-second data. Billed annually, save $180 a year.
For funds, desks, and multi-account managers
Custom infrastructure for institutions
View full pricing on midash.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Building an algorithmic trading strategy has historically required either expensive quant tooling or enough Python to write your own backtester. MiDash collapses that into a chat interface: you type a strategy idea, the platform builds the logic, streams tick-by-tick data through the backtest engine, and hands the result to a connected broker for live execution. Supported brokers include Interactive Brokers, Alpaca, Charles Schwab, Coinbase, Binance, Crypto.com, Kraken, OKX, and Capital.com, covering equities on NYSE, NASDAQ, Tadawul, and other global exchanges, plus crypto and forex pairs.
The differentiating feature is the multi-agent architecture sitting behind the chat layer. A single natural-language prompt does not just trigger a lookup — it spawns agents that can analyze, scan, alert, and execute across multiple steps without you staying in the loop for each handoff. The vendor describes this as a ‘cursor-style AI workspace for capital markets,’ meaning the agents write and run the strategy logic the way a coding assistant writes and runs code — you review, adjust, and approve, but the mechanical translation is handled.
MiDash fits traders who want research, scanning, and execution in one place without stitching together separate tools. It also targets the Saudi market explicitly, with full Arabic language support and Tadawul integration — a gap most Western platforms leave unaddressed. Where the platform breaks is at the institutional and programmatic edge: multi-account portfolio management and custom integrations are paid-only features, and teams that need deep API control to build on top of the platform will hit the boundary between what the UI exposes and what the API covers. The self-hosted option does not exist, so organizations with data-residency requirements cannot run this on their own infrastructure.
The technology stack is documented on the vendor’s site as powered by OpenAI, Anthropic Claude, Google Gemini, Google Cloud, TradingView, and Polygon.io for market data. The platform is based in the Dubai International Financial Centre (DIFC) and Dubai AI Campus, which is relevant context for teams operating under MENA-region compliance frameworks.
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