Magia Trade
MagiaTrade · Business
Magia Trade is a no-code trading strategy builder: drag indicators onto a canvas, backtest on real tick data, and push a crypto strategy deployment to the cloud in one click.
About Magia Trade
What Is Magia Trade
Magia Trade is a visual strategy lab for people who want automated trading without writing glue code. You drag data, indicator, logic, and execution nodes onto a canvas and wire them together, and the strategy becomes the graph itself. There's no separate file to maintain and no scripting layer to keep in sync with your logic.
The product is aimed at traders who already have a market idea but stall on the engineering. It runs as an AI strategy builder for the browser during a private beta, and the company keeps access behind a waitlist while it expands. Markets at launch cover crypto futures on Binance and Brazilian futures on B3, including WIN and WDO contracts.
The main limit is scope and maturity. It's early-access software, free while the beta lasts, so pricing and features can shift. It supports two market venues rather than the dozen a broker terminal would offer, and it's built for rule-based automation rather than manual discretionary trading. If you want a chart to click on by hand, this isn't that tool.
Getting Started
- Join the waitlist at magiatrade.com and wait for your invite to the private beta.
- Open the editor and drag nodes for your data feed, indicators, entry and exit logic, and order execution onto the canvas.
- Wire the nodes together, then replay historical tick data through the same engine that trades live.
- Ask the AI copilot to assemble or repair parts of the graph, or write a custom indicator in Lua if a node is missing.
- Publish the strategy to the cloud, let it run around the clock, and watch fills, positions, and P&L stream back to the desktop.
Product Information
A quick look at Magia Trade's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Retail crypto traders
- Algorithmic beginners
- Brazilian futures traders
- Traders leaving TradingView or Pine Script
Tasks
- Testing a strategy on real ticks
- Running a strategy unattended
- Building custom indicators
- Comparing idea variations
Scenarios
- Overnight crypto automation
- Weekend strategy iteration
- Small desk workflows
- Learning algorithmic trading
Key features
Build strategies visually
You drag data, indicator, logic, and execution nodes onto a canvas and wire them together. The strategy is the graph, so there's no glue code to write and no script to keep aligned with your rules. Changing the idea means moving nodes, not rewriting a program, which keeps the entry bar low for people without a coding background.
Backtest on real ticks
The backtester replays historical market data trade by trade, not as OHLC approximations, and it runs through the exact engine that trades live. That design decision matters because a strategy that looks good on bar data can fall apart when real fills, spreads, and timing enter the picture. What you test is what you deploy, which is the promise the whole product rests on.
One-click cloud deployment
Publishing packages the graph you backtested into a self-contained bundle and runs it 24/7 on the company's infrastructure. Live orders, position tracking, and P&L stream back to the desktop. You enable, disable, and monitor each strategy from the app, and stopping one closes its positions rather than leaving them open.
AI copilot that acts on the canvas
The copilot sits inside the editor and reads your whole graph. Describe an idea and it assembles the strategy in front of you, adding nodes, wiring connections, and tuning parameters. Every action is visible and reversible, and nothing trades without your click. It also explains the pipeline and flags weak points, so it works as a reviewer as much as a builder.
Open Lua nodes with hot reload
Every node is a small, readable Lua script with its inputs, parameters, colors, and chart rendering defined in the file. You can open, tweak, and hot-reload a node without restarting, and the copilot can write a brand-new indicator when the library falls short. The company says a community marketplace of user-built nodes is coming at launch.
Per-strategy accounting and safety
Each deployment keeps its own position ledger, reconciled against the broker, and orders are tagged per strategy. Stopping a strategy closes its positions, so you avoid orphan trades left behind by an earlier run. Live telemetry reports fills, P&L, and health in real time, which is what turns a backtest into something you can actually watch run.
Pros and cons
Pros
- No coding required: the visual graph replaces glue code, so traders with an idea but no programming background can build a working strategy.
- Tick-accurate backtesting runs on the same engine as live trading, which reduces the gap between test results and real-world behavior.
- One-click cloud deployment keeps strategies running after you close the desktop, with P&L streamed back in real time.
- The AI copilot edits the graph directly and can write new Lua indicators, which speeds up iteration for non-programmers.
- Per-strategy ledgers and order tagging keep positions clean and make it easy to stop one strategy without touching the rest.
Cons
- It's in private beta with waitlist access, so you can't sign up and start today.
- Only two market venues are supported at launch (Binance and B3), which rules out forex, US equities, and other brokers.
- It's built for rule-based automation, so discretionary traders who trade off feel get little from it.
- Pricing isn't published because the product is free during beta, so costs after launch are unknown.
Frequently asked questions
It's a visual, no-code platform for building and running automated trading strategies. You assemble a strategy on a canvas, backtest it on real tick data, and deploy it to the cloud to trade live.
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