Swing system in 30-minute bars to trade Bitcoin with an ETF. The system trades long and short. They are two systems that are sold together, and they need an initial capital of 25,000 to be operated.

To trade it at the broker, you need a stock account.

With current TS automation, you can’t trade > 1 system where they could go long and short at the same time, unless you have two stock accounts. This can be done with our Automation tool that we have exclusively in the Live Trading Support area, on a TS account, but a little modification will be needed as TS cannot place market orders on GBTC.

If you trade on Interactive Brokers, these issues may not apply.

On February 10, 2022 there is an update to the GBTC systems to solve the problem that there are no market orders in the TS account, and the profit target was increased.

Sistema Swing QMSwingBitcoin - Quantified Models

Operations chart

Swing system

Trade Bitcoin with ETF

Operable symbol



30 minute bars



699 €

Backtest Metrics

Other related products



Night Swing system to operate the DAX, which enters at the end of the day’s session, and leaves the following day.



Swing system to trade the future of the Nasdaq, with out-of-sample results from July 8, 2021. This system has been built by our Genetic Builder, converting the QMSwing4ES system to QMSing4NQ.



Swing system to operate the future of Cocoa, which operates in daily bars, which makes long and short operations, and has a monetary stop loss.

Hypothetical performance results have many inherent limitations, some of which are described below.

No representation is being made that any account will or may make profits or losses similar to those shown. In fact, there are often large differences between hypothetical performance results and the actual results subsequently achieved by any particular trading strategy.

One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, counterfactual trading does not involve financial risk, and no counterfactual trading record can fully explain the impact of financial risk on actual trading.

For example, the ability to withstand losses or stick to a particular trading strategy despite trading losses are important points that can also adversely affect actual trading results. There are numerous other factors related to the markets in general or the implementation of any specific trading strategy that cannot be fully considered in the preparation of hypothetical performance results and all of which may adversely affect actual trading results.

Subscribe to our Newsletter

Join our mailing list to receive the latest news and updates from Quantified Models team.

Subscribe to our Newsletter

You have Successfully Subscribed!

Skip to content