Blog · Hyperliquid · Article · updated 2026-09-25
Hyperliquid portfolio mode: one net position per token, many alerts
How TensorTrader’s TT-Autotune portfolio mode turns many Hyperliquid alerts into one managed net position per token, with timeframe ladders, margin ceilings and drawdown brakes.
The problem portfolio mode solves
Run TT-Autotune alerts on several timeframes for several tokens and you quickly get conflicting signals: the 15-minute cell says long while the 4-hour cell says short. Executing each alert independently means opening and closing overlapping positions, paying fees on every flip. Portfolio mode treats the alerts as a sensor net instead and keeps one net position per token, adjusting it as the timeframes agree or disagree.
Portfolio mode is built for Hyperliquid. It is armed per exchange key, fails closed, and at the time of writing has placed no live orders: it runs in shadow and on testnet while it earns its acceptance record.
The timeframe ladder
- 4h
- Sets direction for the token
- 1h
- Sets the core position
- 15m
- Adds or trims around the core
- 5m
- Fine-tunes the final layer
- reversal rule
- A full reversal needs the 4h and 1h to agree
Risk brakes
The latch is deliberate. After a 10% drawdown the portfolio stays flat until you press resume, so a bad day cannot turn into a bad week while you are away.
- margin ceiling
- 85% of account margin, never more
- 4% drawdown
- Stops adding to positions
- 6% drawdown
- Reduces to the core position
- 10% drawdown
- Flattens everything and latches until you resume
- token count
- At most four tokens at a time
- correlation
- Tokens correlated 0.75 or more with one already held are excluded
How tokens are chosen
The preview ranks trained TT-Autotune cells for Hyperliquid-listed tokens and picks up to four that are not highly correlated. Live forward results only start boosting a cell's rank once it has at least 40 live trades, so a lucky handful of fills cannot promote a token. The extension shows the selection as a "Hyperliquid portfolio batch" card with the risk settings spelled out: 85% margin ceiling, 4% stop-adds, 6% core, 10% flatten and latch.
Arming, pausing and resuming
- 1Preview the portfolio for a Hyperliquid key and review the selected tokens.
- 2Configure it: tokens, margin and the risk settings above.
- 3Arm it. Live arming requires explicit confirmation, a live active Hyperliquid key that passed preflight, shadow and testnet acceptance, and no active latch.
- 4Pause at any time; the status changes to paused and no new adjustments are made.
- 5Resume to clear a latch after reviewing what happened.
When to use it, and when not
Use portfolio mode when you want Autotune exposure on a handful of liquid Hyperliquid tokens without micromanaging overlapping alerts. Skip it when you want each alert to trade independently, when you trade other venues, or when you are testing a single strategy. Plain Batch Create alerts are simpler and easier to reason about.
Portfolio mode vs independent alerts
- positions
- Portfolio: one net position per token. Independent: one position per alert leg.
- fees
- Portfolio: fewer flips. Independent: every alert can open and close its own position.
- control
- Portfolio: rules decide adds and trims. Independent: each alert acts on its own.
- venues
- Portfolio: Hyperliquid only. Independent: any executable venue.
Why the gates are strict
Portfolio mode concentrates decisions: one bug or bad rule affects every token it holds. That is why arming requires shadow and testnet acceptance first, and why a latch after a 10% drawdown needs a human to resume. The gates follow the same fail-closed principle as the rest of TensorTrader's order path: when a confirmation is unexpected or a state is ambiguous, stop rather than guess.
Frequently asked questions
- Does portfolio mode trade live today?
- Not yet. It fails closed and runs in shadow and testnet until it passes acceptance; live arming has strict gates.
- How many tokens can it hold?
- Up to four, and never two that are highly correlated.
Keep reading
Hyperliquid trading bot: how to automate Hyperliquid perps safely
The complete guide to automating Hyperliquid: agent wallets, testnet, TradingView and GoCharting alerts, leverage and margin, fees and funding, portfolio mode, and the real results of our own testnet books.
How TT-Autotune works: one alert, six regime champions
TT-Autotune tunes the Lorentzian Classification strategy per token, per timeframe and per market regime, then syncs the winning settings into a single TradingView alert. Here is how the optimizer, the regime switch and the extension fit together, plus a live testnet ROI chart.
DCA across timeframes: how margin splits by weight
How TensorTrader’s DCA Across Timeframes spreads one strategy across a spectrum of chart timeframes, weights margin toward the base, and fits your alert quota.
Hyperliquid leverage, cross margin and Unified Account explained
How leverage and margin work on Hyperliquid perps, what Unified Account changes, and how TensorTrader sizes and protects automated positions.
Not financial advice. Performance figures are TensorTrader testnet or backtest results with the method stated; past results do not predict future returns.