.png){kind=logo}
Zignaly is a platform that almost no one had heard of just a few years ago. However, in the crypto trader community, it quickly earned a reputation as a tool "for insiders." Launched in 2018 by a startup from Spain, Zignaly is betting on copy trading—the ability to follow the strategies of experienced managers.
The idea is not new, but the implementation turned out to be impressive: Zignaly combined the functions of social trading, a trading terminal, and a backtesting environment. More than 430,000 users worldwide are already registered on the platform (according to the company's own data for 2025), and the volume of funds under management has exceeded $150 million.
Unlike other cryptobots, Zignaly aims to make trading professional—but accessible.The project team focuses not on short-term trades, but on long-term synchronization with managers and full automation without the need for programming.
Key features:
Connection to Binance and KuCoin: The user's assets remain in their own exchange account; Zignaly only manages the trades.
"Profit Sharing" model: If the trader makes a profit, they share a percentage with the manager. No profit, no payment.
Scalability: From individuals to professional funds.
The founder of Zignaly is Bartolomeo Nuñez, a Spanish IT entrepreneur with experience in fintech. He assembled a team of developers and analysts who share the idea of making the cryptocurrency market less chaotic and more transparent.
Interestingly, the team did not focus on loud marketing or launching its own token, as many competitors do. Instead, they invested in developing API integrations, server architecture, and verifying signal providers.
In a recent interview, Gadit shared that his experience at Standard Chartered helped him look at traditional financial systems and then build a platform that combined transparency, security, and accessibility for retail investors.
He noted that Zignaly and its ZIGChain ecosystem aim to "lower the barriers to entry into investing" by offering access to signals from verified traders with a transparent profit-sharing model: the user pays only when they receive income, and their wallet remains on the exchange.
This technical approach contrasts with faster solutions focused on intuitive trading. For example, platforms like Pocket Option, IQ Option, or StormGain emphasize speed of execution and simplicity in predicting price movements—without the need to delve into technical analysis. Such services resonate with many, including those who are just starting their journey in trading or prefer to work with a minimal entry threshold and minimal analysis.
In 2024, one of the signal providers on the platform—under the nickname CryptoCoachX—showed a return of over 80% for the year with a moderate drawdown of 12%. His strategy was copied by more than 3,000 subscribers, most of whom ended up in profit, even after accounting for the profit-sharing commission.
This format proved to be particularly useful for beginners who do not know how to conduct technical analysis but want to follow the experience of stronger players.
On Reddit and Discord forums, users note:
Convenient analytics on traders' results.
No need to keep funds on the platform.
Active customer support.
A useful Telegram bot with trade notifications.
In today's trading market, two clear approaches have emerged: the classic one, focused on in-depth analysis and strategic planning, and the predictive one, involving quick trades and instant decisions. Zignaly has confidently occupied an intermediate niche by offering automation with an element of trust—an ideal solution for those who strive for long-term trading but without being overloaded with complex tools. At the same time, for short-term trading or testing hypotheses, platforms like Pocket Option are popular, where you can quickly predict price movement without buying the asset, as well as classic solutions like MetaTrader 5, suitable for independent analysis, scalping, and algorithmic strategies. Each approach finds its audience—from intuitive beginners to systematic traders.
