CQS Scalping and Premium Signals usage stats and review – 3Commas

Hi there!

50 days ago I started using 3commas.io bots jointly with signals: CQS Scalping, CQS Premium Signals, Cartelsignals, and QFL.

If you have not read the first part of the “Signal Statistics” please click here.

As you may have noticed on April 2, 2019, BTC price started to grow rapidly. Altcoins couldn’t follow cryptocurrency #1 results, they’ve started to slide down, and many of them are in a drawdown, lower than their entry points. It’s more interesting to see the way signals work while the altcoins’ market is falling.

For all signals, I’ve used the same deposit, approximately 0.0084 BTC. I’ve launched bots, using paid and free signals almost simultaneously, a few days apart. I’ve set up a profit according to recommendations of the signals’ creators (CQS and Cartelsignals), and followed the users’ recommendations in the 3commas chat, considering my own “authors’ analytics”, and the market situation. I did not follow recommendations of using averaging for such signals while setting them up.

I’ve changed some options after the last review:

• On April 1, I created two additional bots. First bot using CQS Premium Signals, and the second one using Cartelsignals, there I’ve added only one averaging -5%, as recommended by creators. I probably feel guilty for ignoring their advice partially, because they recommend using 2 averaging (feeling guilty is a joke, but I was not joking about averaging). These bots have also been added to my analytics.
• I’ve changed some settings, you can see it in the comparative table.
• I’ve added analytics of the bots’ profitability, considering exit points from deals at current prices. Some traders say that on the one hand we have profit and it’s great, but on the other hand, the possible minus from the open deals spoils the entire income. This is a reasonable remark.

Comparative table of settings:

Analytics of profitability and signals’ operation:

Let’ see the bot’s profit on the additional chart, taking into account the closing of all open deals:

Let’s check out the “invest”. I want to remind that for me, the “invest” is a deal that wasn’t closed within 7 days:

As you can see, many signals got into “invest”, but even in these conditions, selling everything at current prices would have earned profits from bots for 50 days. In fact, I’m not going to stop any deal, the experiment continues, it’s extremely interesting what bot, on what signals will “pull out of this” first, whether averaging “new” bots will help to get more profit from bots – we will soon find out all this.

To be continued …

Conclusion for 2025:

In retrospect, Mikhail Goryunov's exploration into the world of 3commas.io bots and the subsequent signals used – notably CQS Scalping, CQS Premium Signals, Cartelsignals, and QFL – presents a fascinating journey for both novices and experts in the cryptocurrency trading realm. As the cryptocurrency landscape evolves, so too does the need to understand and effectively deploy trading tools. From the fluctuations of BTC prices and altcoins to the nuanced applications of different signal systems, Goryunov's insights have come to the fore as both educative and reflective.

One key observation made in the article relates to the swift growth of BTC in April 2019, shedding light on the dynamic nature of cryptocurrency markets. While BTC surged, altcoins faltered, prompting curiosity regarding the efficacy of the various signal systems during such a downturn. It’s a stark reminder that, in trading, no single asset's performance is reflective of the market at large. Altcoins’ struggles during BTC’s ascent demonstrated the need for diverse strategies and tools.

Goryunov's methodology, involving a consistent deposit and the simultaneous use of various bots, helps drive home the point of experimental consistency. By operating under similar conditions, it becomes easier to assess the relative efficacy of each signal. And while adherence to signal creators’ recommendations is crucial, this narrative also underscores the importance of personal judgement. This interplay of recommended guidelines and individual discretion forms the crux of many traders’ decision-making processes.

The addition of two bots in April - CQS Premium Signals and Cartelsignals - and the implementation of averaging based on the creators' recommendations brought about an element of change to the experiment. It underscores the importance of adaptability in trading and the benefits of revisiting strategies based on new insights or tools available. This iterative approach to trading, where strategies are revisited, tweaked, and optimized, is a hallmark of successful trading in volatile markets.

Another focal point is the analytics of profitability and the operation of signals. While trading can often be looked at in terms of direct outcomes, it’s the underlying analytics that provides a deeper understanding of market movements and bot behaviors. Goryunov’s emphasis on examining the profit of the bot while considering all potential deal closures brings about a comprehensive view of the bot’s performance. It serves as a pertinent reminder that while immediate outcomes are essential, a holistic view of performance over time is crucial for sustained success.

Lastly, the notion of "invest", as deals that aren’t closed within a week, offers a unique lens to view trading outcomes. Trading, much like any financial endeavor, isn't just about immediate gains but understanding and strategizing around long-term positions. The fact that several signals entered the "invest" territory, yet still yielded positive outcomes over 50 days, is testament to the fact that patience and strategy, even in the face of apparent setbacks, can result in favorable results.

In sum, Goryunov's foray into the world of 3commas.io bots and signals provides invaluable insights into the ever-evolving world of cryptocurrency trading. From understanding the intricacies of various signals to navigating the tumultuous waters of BTC and altcoin fluctuations, the article acts as both a guide and reflection for traders. As the cryptocurrency domain continues its growth trajectory in 2025 and beyond, such insights will undoubtedly remain crucial for traders looking to optimize their strategies and outcomes.

AI Driven Signal Bots in 2025: A New Strategy Shift and Evolution in Automated Crypto Trading

The functionalities of signal bots have improved leaps and bounds as of 2025 due to the implementation of artificial intelligence and machine learning into automated crypto trading systems via the AI analytical tools that are powering new custom signals. Tools that were once simply rule based have now evolved into being capable of real-time refinement processes reliant on live market data, adapting predictive frameworks.

Software providers, such as 3Commas, now support an extensive array of AI features designed to assist professional traders and asset managers. Most of these AI features come from the signal providers using AI analytics to provide dynamic adjustments to live bots. With the help of an AI crypto trading bot, users have the ability to set volatility, liquidity, and historical behavior criteria to multiasset scaling with altcoins included, ensuring the most optimal results.

The scope of modern AI bots for crypto trading entails more than simply providing buy/sell signals. They also analyze market sentiment and multi-indicator convergence execution within set risk tolerances. This shift allows signal bots to become viable components in diversified strategies as their performance and reliability improves, enabling them to be relied on.

Traders expanding their focus into less popular pairs is showcased with the growing interest in altcoin trading bots and how AI is used to identify profitable entry points in less liquid markets. This development emphasizes the importance of the shift the entire industry is trying to push for: moving from proactive automation to intelligent systems that can support long-term portfolio objectives.