TradingView Alternative

June 30, 2026 · 8 min read

A TradingView chart is historical data rendered visually. The RSI, the moving averages, the volume bars — that is stored data, calculated and displayed so you can look at it and decide. The problem is you are looking at one ticker at a time, and you are eyeballing it. You draw a line and call it a setup. You are making a judgment call every time.

Quant-Builder is a TradingView alternative for traders who want the same indicators evaluated systematically across thousands of stocks at once, every night, without having to look at each chart. You pick a universe and the indicators you already recognize — RSI, moving averages, volume, valuation. The model trains on years of history to learn which combinations of those indicators actually preceded the move you are targeting. Then it scores the whole market overnight and ranks the names. In the morning the list is ready.

This is for multi-day moves. You are not watching a 5-minute chart. You look at the ranked list before the open, decide which names to send, and step away. The exits — stop loss, take profit, exit date — are set when you send. No code. Demo at /learn. Paid plans from $25 on /pricing. Send to Alpaca or TradeStation.

See Quant-Builder.ai in 31 seconds:

FREE DEMO

How you use it

You build the model. It trains. You check the book. Overnight it scores. In the morning you open the list and decide. The stills below are that path on the site.

1. Start building your model

Chat helps you pick the universe, the direction, the window, and the target. For example, a long Technology model, trained on six years of data, targeting a 3% move in five days.

Quant-Builder.ai chat: starting a model by picking universe, direction, training window, and target horizon, no code

2. Add features from the library

Ask for SMAs. Add 20, 50, and 200. You do not code an indicator.

Quant-Builder.ai chat adding simple moving average features to a model from the feature library

3. Train Your Model

The platform trains the long Technology book on the history you set. When it finishes, this is the model page: features, target, and the test numbers.

Quant-Builder.ai trained Technology Long six-year model page with features, target, and test numbers

4. Run a Portfolio backtest

Equity curve and drawdown for the long Technology book. Six years of training, then the test.

Quant-Builder.ai completed Technology Long six-year portfolio backtest with equity curve and drawdown

5. Today's Picks

Each night the trained model runs on new market data. In the morning the names are ranked. That is the list you trade from, not a watchlist you built by hand.

Quant-Builder.ai Today's Picks for the Technology Long six-year model, names ranked by confidence

6. Trading configuration

Set up your trade. Set the size, stop loss, take profit, and exit date. You can set up multiple lots. In this example we buy 1% of each stock, twice. Each lot has a 5% stop. One takes profit at 2.5%. The other takes profit at 6%.

Quant-Builder.ai batch trade review for Technology Long names with 1 percent size per stock

Quant-Builder.ai batch trade review with two lots, a 5 percent stop, and 2.5 percent and 6 percent take profits

Watch: build a model in minutes

What this is not

This is not another drawing tool. Daily-bar US stocks. If you need tick data or a Pine library, stay on TradingView.

Paid plans start at $25/month on /pricing.