Contents:
- What Botty Is Designed to Do
- How Botty Connects to Hyperliquid
- Where Assets Remain and What Botty Cannot Do
- Botty’s Strategy Templates: Conservative, Balanced and Aggressive
- How spot and futures differ
- What Botty’s Historical Figures Actually Show
- Can users run their own tests?
- What Botty Shows Before Launch and While It Runs
- Does Automation Remove Emotional Decisions?
- How the Botty Fee Model Works
- What the DigVel Audit Confirms
- The Botty Team and Company-Reported Figures
- Botty Reviews: What Users Report
- Recurring positive themes
- How review experiences line up with the documentation
- Outdated details in reviews
- Risks the Evidence Does Not Remove
- What Can and Cannot Be Established About Botty
Botty presents itself as a platform that automates trading by predefined rules while users keep their assets in their own exchange account. This review of Botty tests those claims against the available material: the current How Botty Works document, the September 2026 investor presentation and public user reviews on vidhuk.ua. For each point the question is the same: what is claimed, what the documents say, what can be confirmed and where confirmation stops.
The aim is neither to promote nor to discredit the Botty trading bot, but to separate documented characteristics from company statements and individual experiences.
What Botty Is Designed to Do
The claim. According to How Botty Works, the platform does not try to predict where the market is heading. It follows a mathematical model calculated in advance: the user chooses the asset, the strategy and the amount, and the system executes trades automatically.
What the materials describe. The mechanism is an order grid built on averaging down. Capital is split into levels in advance. The first order uses a small part of the budget; if the price rises by a set step, profit is taken and the cycle restarts. If the price falls, a larger order is added lower, reducing the average entry price. When the price returns above the average by the set step, the whole position closes and a new cycle begins.
Unlike a classic grid bot with equal steps inside a fixed range, Botty calculates the spacing and size of each order individually, and the grid follows the price. Grids are calculated separately for BTC, ETH and SOL and, according to the company, built on at least five years of market history.
Assets. How Botty Works says the templates are built around fundamentally strong crypto assets and equities and are not designed for memecoins. The nine templates in the investor presentation cover BTC, ETH and SOL; the materials do not name specific stocks, so automated stock trading is part of the stated approach rather than a documented list of shares.
Assessment: confirmed by current documentation. The current materials describe Botty as an automated strategy-execution platform rather than a market-prediction, signal or copy-trading service.
How Botty Connects to Hyperliquid
Several reviews refer to connecting through exchange API keys. That reflects an earlier product model. According to the current documentation, Botty is integrated with Hyperliquid, a decentralized exchange, and the user authorizes access with a single wallet signature through Hyperliquid’s official Builder Code mechanism. The platform receives trading rights only: opening and closing positions under the selected strategy. It has no withdrawal permission, and the documentation stresses that this restriction is enforced at the exchange level rather than merely promised.
The investor presentation adds that access can be revoked at any moment, which stops the bot. Because Hyperliquid records trading onchain, the trade history is publicly verifiable.
Assessment: confirmed by current documentation. The onchain record gives users an external way to check activity on their own account.
Where Assets Remain and What Botty Cannot Do
The investor presentation states that capital is not transferred to a fund, a pool or a Botty account; it stays in the user’s own Hyperliquid account, and only the user can withdraw it. Based on the documentation, Botty is not an exchange, broker, bank, fund or custodial wallet. It does not accept deposits, does not hold user funds and acts as a technology layer executing permitted trades. How Botty Works adds that the platform cannot alter the trade history.
Limits. The non-custodial model answers where assets are held and who can move them. It does not mean their value cannot fall, and it does not remove market or technical risk.
Assessment: confirmed by current documentation, with custody and investment risk treated as separate questions.
Botty’s Strategy Templates: Conservative, Balanced and Aggressive
Botty offers three categories of ready-made templates:
Conservative: spot trading without leverage.
Balanced: futures with a wider grid, fewer trades and more tolerance for deep drawdowns.
Aggressive: futures with a tighter grid, more frequent trades and higher sensitivity to sharp moves.
The September 2026 presentation lists nine templates, one of each category for BTC, ETH and SOL, with futures leverage between x4 and x6. Both documents also state that experienced users can build their own configuration.
How spot and futures differ
In a spot template the user buys the real asset. If the price falls below the grid, the asset stays in the account until sold; there is no liquidation mechanism, although the asset’s market value can still decline.
Futures templates trade a leveraged contract, so liquidation risk exists: if the price moves past the grid without pullbacks and margin is insufficient, the exchange force-closes the position at a loss. The materials describe leverage limits, controlled position sizes and a split between active capital and a reserve. Futures strategies launch 50/50 by default, the reserve cannot go below 50%, and users can raise it to 60% or 70% to push the liquidation level further away at the cost of lower potential. The interface shows headroom, and the platform says it warns users when the market approaches a stress scenario.
Assessment: confirmed by current documentation. These controls can reduce the probability of liquidation but do not remove it; How Botty Works describes liquidation in futures as “possible, manageable.”
What Botty’s Historical Figures Actually Show
Each ready-made template displays pre-calculated historical figures: results by year and month, maximum historical drawdown, the shortest, average and longest time in a trade, available headroom and the grid structure.
In the investor presentation, data for the nine templates begins between 2018 and 2023, depending on asset and template, and runs into 2026. The historical average annual figures shown for Botty’s ready-made templates range from approximately 8% to 58%, depending on the asset, strategy category, parameters and testing period. Conservative templates sit at the lower end, Aggressive ones at the upper end. The year-by-year table is uneven, and one Aggressive template shows a flat year, illustrating that results depend on how much the market moves.
Limits. These are company calculations, not audited client returns. They do not predict future performance or show that every user achieved them, and both documents state that past results do not guarantee future ones.
Can users run their own tests?
Some reviews describe a user-operated backtest feature. The current public version of Botty offers no separate tool for running arbitrary tests with custom settings; users see the pre-calculated figures attached to templates. References to such a feature are an outdated description.
Assessment: partially confirmed. The supplied materials confirm that Botty presents pre-calculated historical figures for its ready-made templates; they cannot be reproduced inside the platform and are not forecasts.
What Botty Shows Before Launch and While It Runs
How Botty Works sets out a principle: users should see the risk before investing a single dollar. Besides the historical figures, the materials say the interface shows how the chosen split between capital at work and reserve changes the strategy parameters before launch. The investor presentation lists, for each template, the number of trades and the average time in a trade, from about 7 hours for Balanced SOL to about 55 hours for Balanced BTC.
While a strategy runs, users see which orders have filled, which are waiting, where the average entry sits and how much headroom is left.
Assessment: confirmed by current documentation. These are monitoring tools, not price forecasts.
Does Automation Remove Emotional Decisions?
The claim. How Botty Works describes holding a volatile asset as an emotional rollercoaster, and the investor presentation argues that the right moment to sell otherwise remains a matter of personal judgment. Botty, it says, takes profit at preset levels with no human involvement at the moment of the trade.
What can be confirmed. Botty executes predefined rules automatically and does not make impulsive decisions while implementing a strategy. Several reviewers describe a similar personal effect: checking weekly instead of every few minutes, or no longer trying to win back losses.
Limits. The user still chooses the template, amount and reserve. Automation does not prevent an unsuitable choice or remove market risk.
Assessment: partially confirmed.
How the Botty Fee Model Works
Several reviews describe a commission on successful trades; the current documentation describes an activity-based fee. There is no subscription, no upfront payment, no capital-management fee, no fee on results and no withdrawal fee. Botty’s charge is incorporated into the Hyperliquid trading fee through Builder Code and applies when the relevant trading operation is executed. If the bot does not trade, Botty does not charge a fee.
Futures: a 0.1% markup on the value of each executed order.
Spot: a 0.3% markup on order value, charged only on sell orders.
Assessment: confirmed by current documentation. The fee depends on trading activity, not on whether a given cycle is profitable.
What the DigVel Audit Confirms
Botty underwent an independent security audit by DigVel. How Botty Works states that it included penetration testing of botty.com, that the certificate is dated April 21, 2026, and that results are published and can be checked through DigVel. The presentation adds that all identified issues were resolved, a company-reported detail. Botty’s broader statement that it undergoes audits regularly is also attributed to the platform.
Assessment: supported by an independent audit. The audit confirms that an outside assessment took place; it is not an absolute guarantee against future vulnerabilities.
The Botty Team and Company-Reported Figures
The founder is Oleksii Ostapovskyi. According to the September 2026 investor presentation, Botty launched in March 2026 and has a team of 31 people. Company materials refer to a previous educational project with more than 40,000 graduates, and academy materials report $9.5 billion in Bybit trading volume among those graduates in 2025. The same presentation reports approximately $3.35 million in capital at work and 214,088 closed trades during the first five months.
Assessment: company-reported. These figures come from Botty’s own materials, are not presented as independently verified and apply to the stated reporting period.
Botty Reviews: What Users Report
The only public review platform identified for this product is vidhuk.ua, where the Botty page shows 36 reviews with an average of 4.1 out of 5. Thirty visible reviews were analyzed. The size and composition of the sample do not support statistically representative conclusions about all Botty users.
Recurring positive themes
Time savings. Reviewers who work full-time, travel or are on parental leave describe the bot running in the background and checking it weekly.
Less emotional trading. Users who previously lost money through panic selling or chasing hype say rule-based execution removed the urge to react to every move.
Trust in the non-custodial model. Several mention that funds stay on their own balance and the platform cannot withdraw them.
Modest, steady experiences. Users of conservative templates describe results as slow, modest or even boring.
Clarity. Reviewers mention a clear dashboard, short reports and AI assistance outside working hours.
Some say Botty replaced paid signal subscriptions or copy-trading for them.
How review experiences line up with the documentation
Some accounts track the documented mechanics closely. A driver running an ETH grid describes dozens of small closed trades in a week and the algorithm working through two dips, matching the averaging-down cycle. Another reviewer keeps half of his budget in reserve and notes that the developers do not promise future returns, mirroring the default 50/50 split. A user who set his own parameters says he can follow the logic behind each action. These remain personal results.
Outdated details in reviews
Several reviews mention an API connection, a commission only on successful trades, user-run testing or old labels such as “medium risk.” These describe an earlier product version or a misunderstanding and conflict with current documentation.
Risks the Evidence Does Not Remove
Results depend on market conditions and strategy parameters; lower volatility means fewer trading cycles.
Historical figures do not guarantee comparable future performance.
Spot and futures templates have different risk profiles; futures use leverage and carry liquidation risk.
An open position can stay in drawdown for days or weeks, tying up part of the capital.
Automation executes rules without emotion but does not remove market risk or prevent a user from choosing an unsuitable template.
Positive reviews do not predict another user’s outcome.
The materials present the interface, templates and AI guidance as tools that simplify selecting parameters; that does not mean a beginner needs no understanding of risk.
What Can and Cannot Be Established About Botty
What can be said with confidence is that the current materials describe Botty as a non-custodial automation layer on Hyperliquid: it executes predefined grid strategies, receives trading rights through a wallet signature, cannot withdraw funds and earns an activity-based fee built into trade execution. The DigVel audit confirms an independent assessment took place, while team, capital and trade figures remain company statements tied to their dates.
The evidence cannot establish how any individual user will fare, or whether past figures will repeat. Botty is best judged on these documented terms: a tool whose mechanics are checkable onchain, and whose outcomes depend on the market, the chosen template and the risk each user accepts.
