Frequently asked questions.

Hygentra is an AI trading platform built around agents, signals, risk checks, and Trader DNA. You can ask an agent to read a chart, review a trade, explain the setup, or run a named strategy on Hyperliquid inside limits you set.

Hygentra is for active traders who want help making faster, clearer trading decisions without giving up control. It is useful if you want better chart context, cleaner trade review, agent-led execution, or a way to understand your own trading patterns.

No. A trading bot usually follows one fixed rule set. Hygentra uses agents: named strategies that can read context, explain their reasoning, prepare trades, run within your limits, and leave a decision trail you can inspect. Some agent jobs can trade automatically, but the point is controlled agent execution rather than blind automation.

No. You can use Trader DNA to analyze public Hyperliquid accounts without a deposit. Funds only matter if you choose to let an agent place real trades from your connected account.

Hygentra currently focuses on Hyperliquid and the markets available there, including crypto perpetual markets such as BTC, ETH, and SOL. The site also shows planned expansion into more venues and asset types later.

Copy trading asks you to follow someone else. Basic signal tools tell you a direction. Hygentra is built to show the reasoning: the agent profile, thesis, risk checks, limits, market context, and decision history behind a trade or strategy.

You can ask for chart levels, review a trade ticket before it goes out, read Pro Signals, compare named agents, analyze a trader through Trader DNA, set budgets and leverage caps, and run agents with trade-only permissions.

Agents are named AI trading strategies with a specific job. One trades momentum, another follows trends, another waits for reversals. Before an agent touches capital, you can review its mandate, markets, model, limits, performance context, and risk profile.

Choose the agent that matches the market condition you want to trade. Look at its strategy type, time frame, trade frequency, risk appetite, supported markets, and limits. Do not pick an agent just because it is active; pick it because its style fits the setup you understand.

They are example agent profiles. Snap is built for reversal entries, Drift follows established trends, Surge looks for momentum bursts, and Breach waits for breakout conditions. Each one exists so you can compare strategy fit instead of treating all automation as the same thing.

Yes. Agent profiles show the strategy, edge, setup type, markets, leverage range, and performance history before activation. The goal is to make the agent understandable before you assign capital.

Yes, where the product controls allow it. The important part is total exposure: running multiple agents can mean multiple trades, overlapping markets, and higher combined risk. Review each agent's budget, leverage cap, market list, and stop rules before running them together.

Yes. You can stop an agent when the strategy no longer fits the market, when risk is too high, or when you simply want to step back. An agent operates inside your limits — it does not force you to keep a strategy running.

No. Agents receive trade-only permissions. They can place or manage trades inside the limits you approve, and withdrawal access is never granted.

Agents can still be wrong when volatility, trend, liquidity, or news conditions change. Monitor live agents, check the decision history, and pause or reduce exposure if the strategy no longer matches the market.

Pro Signals are trade ideas with context attached. Instead of only saying long or short, a signal explains the market, thesis, direction, confidence, risk, invalidation, and possible next action.

Copilot helps you structure the decision before you act. It can read the chart, explain levels, check a trade ticket, flag missing stops, and turn plain-language instructions into a trade plan that still needs your review.

A useful signal can include the pair, direction, entry idea, thesis, confidence, risk context, invalidation level, stop logic, and what to do next. It helps you understand why the setup matters and what would make it wrong.

No. Signals are decision support, not personal financial advice. They give you context on a setup, but you are responsible for deciding whether to trade, how much to size, and whether the risk fits you.

Yes. You can use a signal as research and place the trade yourself, ignore it, wait for confirmation, or ask an agent to prepare a reviewed ticket. The signal is context, not an obligation.

Direction tells you the bias. Confidence tells you how strong the setup appears. Risk tells you what could break the idea. A high-confidence signal can still lose, so always check size, leverage, stop placement, and market conditions before acting.

Trader DNA analyzes trading history and turns it into a behavior profile. It helps show how someone trades: risk habits, timing, sizing, drawdown behavior, recovery patterns, and repeated strengths or leaks.

TraderScore is a summary score for trading behavior and performance context. It is not meant to be a guarantee of future results; it is a quick way to compare quality, consistency, risk, and improvement over time.

Trader DNA reads historical trades and looks for patterns across entries, exits, position size, leverage, holding time, win/loss behavior, risk concentration, and how the account reacts after gains or losses.

It can surface patterns such as overtrading, cutting winners early, holding losers too long, increasing size after losses, concentrating risk in one market, trading better in trends than chop, or repeating the same mistake across different setups.

To analyze your own behavior, yes: Trader DNA needs trades to read. If you do not have much history yet, you can still use public Hyperliquid accounts to understand how other traders or agents behave.

Yes. Trader DNA can analyze public Hyperliquid accounts, including other traders and agent accounts, because their trading activity is visible on-chain. That makes it useful for research before following a trader or comparing an agent.

Trader DNA becomes more useful as new trades are added to the account history. A profile based on more complete history is usually more reliable than one based on only a few trades.

Yes. Your funds stay in your own account. Agents operate only inside the permissions and limits you approve.

Agents receive trade-only permissions. That means they can submit or manage trades within approved limits, but they cannot withdraw funds — withdrawal access is never granted.

Non-custodial means Hygentra does not take custody of your funds. You keep control of the account, and the agent operates through limited permissions rather than receiving full control.

You can define limits such as budget, max leverage, allowed markets, trade permissions, stop rules, and when an agent pauses or stops. These limits are hard rules for agent behavior.

Agent-led trading still carries trading risk: market losses, liquidation, slippage, volatility, strategy drift, and execution errors can happen. Controls reduce the blast radius, but they do not make trading risk-free.

Yes. Any live trade can lose money, whether it comes from a human decision, a signal, or an agent. Only use capital you are prepared to risk, and check size, leverage, and stops before letting an agent trade.

No. Hygentra provides tools, signals, agent reasoning, risk checks, and behavior analysis. It does not tell you what is personally right for your financial situation. You remain responsible for every trading decision.

Start with the feature that matches your need. If you want to understand a trader, use Trader DNA. If you want a market read, use Pro Signals or ask the agent to review the chart. If you want automation, compare agents and set limits before activation.

Connect through the supported account flow and review every permission before approving. The important rule is simple: agents get trade-only permissions and no withdrawal access.

Pick the agent whose strategy you can explain in one sentence. Check its market, time frame, trade frequency, risk appetite, budget, leverage cap, and stop rules. If those details do not fit your plan, choose a different agent or stay manual.

Read it in this order: market, direction, thesis, confidence, invalidation, risk, and next action. The key question is not just "is it long or short?" It is "what would prove this setup wrong, and is the risk worth taking?"

Look up the account you want to analyze, then review the behavior profile, TraderScore, strengths, weaknesses, and repeated patterns. Use it to understand how the account actually trades, not just whether the recent PnL looks good.

Check the agent's mandate, markets, budget, max leverage, stop policy, recent behavior, and total exposure. Make sure the agent's strategy fits the current market and that the worst-case loss is inside your risk tolerance.

Monitor what it does, what it skips, and why. Review fills, stops, exposure, decision history, and whether the strategy still fits the market. Pause or reduce the agent if behavior changes or risk grows beyond your comfort level.

The trader-facing product under your brand, and the operator controls behind it. Exactly what's included is scoped to your platform in the demo conversation. Your users remain yours.

White-label deployments run the same non-custodial architecture: end users hold their own keys, and agents act only through trade-only permission scopes.

It starts with a conversation. The trader-facing product is live today; the operator side is scoped to your platform — brand, deployment, limit policy, and rollout plan.

Pre-trade limit enforcement, trade-only permission scopes, and a decision log with reasoning your team can replay.

Scoped in the demo conversation — it depends on venue size, rollout, and what you white-label.