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, we are 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, we plan to expand the strategy system with additional capabilities and user controls as we work toward closing the loop with autonomous execution.

Build, test, and monitor your own crypto trading strategies in Sorin: https://heysorin.ai/quantitative-trading