For the past couple years, crypto “copy trading” has mostly meant one thing:

Copying someone’s buy on a meme coin and hoping you catch the pump early.

A leaderboard shows a trader who made a lucky 400% move, users pile in to mimic that one moment, and the entire system becomes a reflexive loop of hype and exit liquidity.

It’s fast and dopamine-rich — but fundamentally flawed.

Copy trading never replicated a trader.
It chased trades.

You copied one entry and hoped:

• you got in early, and

• you weren’t the OG’s exit liquidity.

Meanwhile, traders rotated wallets, changed behavior, or jumped tokens long before followers reacted.

Copy trading wasn’t strategy.
It was copy-pasting someone’s buy button.

And more often than not -- with microcap meme-coin gambling -- it broke down completely.

Most copy-trading “success” came from sub-$100K market cap meme coins — markets with almost no depth.
The pattern never changed:

1. OG buys early

2. Followers pile in

3. Price spikes briefly

4. OG exits into follower demand

5. Token dies, followers hold the bag

Most microcaps never break out sustainably.
The pump is the exit.

Copy trading became a lottery, not a strategy.

Even when it wasn’t meme coins, copy trading still captured only the entry.
It never captured:

• scale-ins

• scale-outs

• leverage changes

• partial closes

• flips

• TWAP exits

• hedges

• risk behavior across regimes

Elite traders win through how they manage positions — not because they hit Buy once.

Copy trading was shallow, reactive, and incomplete.

To evolve beyond this, users needed:

• stable trader identities

• full onchain transparency

• event-level trade data

• deep liquidity

• real-time execution

• long/short capability

• programmable automation

No CEX or DEX offered this combination.

Hyperliquid does.

Hyperliquid is the first environment where real AI-powered mirror trading is possible.
Senpi is the first platform to deliver it at scale.

On CEXs and DEXs, traders can disappear behind new accounts or burner wallets.
On Hyperliquid, a wallet's volume is tied to their fee tier. There is no incentive for top traders to rotate wallets, and every incentive for them to grow their positions and trading history.

Rotating wallets means losing economic advantage.
Elite traders stay put — making their strategies mirrorable.

Hyperliquid exposes the entire lifecycle of every trade:

• opens, closes

• scale-ins, scale-outs

• leverage changes

• flips

• TWAP slices

• micro-fills

This is the full strategic footprint copy trading could never replicate.

Hyperliquid’s deep books and sub-second sequencing allow Senpi to mirror traders as actions occur, not minutes later.

BTC, ETH, SOL, AVAX, and dozens more — not $30K microcaps.

When you tap “Mirror” in Senpi, it feels simple.
Behind the scenes, it’s one of the hardest engineering problems in crypto.

Hyperliquid processes:

• up to ~200,000 order-events per second

• tens of thousands of traders

• constant opens, closes, flips, scale-ins and outs

• mid-flight leverage changes

• hundreds of TWAP micro-fills

• multi-asset strategies across dozens of tickers

The good news: every action is onchain, and HL’s fee structure heavily disincentivizes wallet rotation.

The challenge: replicating all of this, exactly, in real time, for thousands of Senpi users simultaneously.

So Senpi built the most precise mirror trading system in the Hyperliquid ecosystem.

• Tracks every HL trader and every trade in real time

• Reconstructs positions from raw fills (including TWAP slices)

• Computes leverage, PnL, flips, risk, and deltas

• Runs on Senpi-operated HL nodes + internal databases

• Enhanced with high-fidelity data from Allium and Hydromancer

This engine ensures Senpi always knows the exact state of the OG trader.

• Mirrors every open, close, long, short, flip, and adjustment

• Executes proportionally to each user’s budget

• Maps raw HL behavior → deterministic user outcomes

• Uses optimized HL transaction writers

• Handles fragmented exits, partial fills, and volatile deltas

If the OG trader breathes, Senpi mirrors that breath.

Markets are noisy. Drift happens.

If a user diverges from the OG by even a fraction:

• Senpi detects the deviation

• Recalculates the true deltas

• Issues corrective trades

• Re-syncs the user to perfect alignment

This maintains a continuously accurate mirror state.

Analyzes:

• every trader

• every trade

• every historical pattern

• PnL trajectory

• volatility behavior

• strategy archetypes

• risk factors

• consistency signals

Planned capabilities:

• Recommend the best HL traders for each user based on their risk tolerance

• Detect behavior shifts in OGs

• Suggest rebalancing or strategy rotation

• Track every strategy a user has ever run

• Build a learning layer across the entire Senpi user base

Senpi evolves from mirroring → coaching.
From automation → intelligence.

Mirror trading isn’t “copy what they do.”
It’s perfect state replication across high-frequency, leverage-driven, multi-asset systems.

Hyperliquid is the fastest, cleanest, most advanced perps environment in crypto.
To build Senpi, we had to match that rigor — and in some areas, exceed it.

The result:

Senpi now mirrors the world’s top 1% traders with unprecedented precision.
And with the Intelligence Engine, it will help users choose better, trade better, and perform better.

This is the future of trading.
And we’re just getting started.

For the past couple years, crypto “copy trading” has mostly meant one thing:

Copying someone’s buy on a meme coin and hoping you catch the pump early.

A leaderboard shows a trader who made a lucky 400% move, users pile in to mimic that one moment, and the entire system becomes a reflexive loop of hype and exit liquidity.

It’s fast and dopamine-rich — but fundamentally flawed.

Copy trading never replicated a trader.
It chased trades.

You copied one entry and hoped:

• you got in early, and

• you weren’t the OG’s exit liquidity.

Meanwhile, traders rotated wallets, changed behavior, or jumped tokens long before followers reacted.

Copy trading wasn’t strategy.
It was copy-pasting someone’s buy button.

And more often than not -- with microcap meme-coin gambling -- it broke down completely.

Most copy-trading “success” came from sub-$100K market cap meme coins — markets with almost no depth.
The pattern never changed:

1. OG buys early

2. Followers pile in

3. Price spikes briefly

4. OG exits into follower demand

5. Token dies, followers hold the bag

Most microcaps never break out sustainably.
The pump is the exit.

Copy trading became a lottery, not a strategy.

Even when it wasn’t meme coins, copy trading still captured only the entry.
It never captured:

• scale-ins

• scale-outs

• leverage changes

• partial closes

• flips

• TWAP exits

• hedges

• risk behavior across regimes

Elite traders win through how they manage positions — not because they hit Buy once.

Copy trading was shallow, reactive, and incomplete.

To evolve beyond this, users needed:

• stable trader identities

• full onchain transparency

• event-level trade data

• deep liquidity

• real-time execution

• long/short capability

• programmable automation

No CEX or DEX offered this combination.

Hyperliquid does.

Hyperliquid is the first environment where real AI-powered mirror trading is possible.
Senpi is the first platform to deliver it at scale.

On CEXs and DEXs, traders can disappear behind new accounts or burner wallets.
On Hyperliquid, a wallet's volume is tied to their fee tier. There is no incentive for top traders to rotate wallets, and every incentive for them to grow their positions and trading history.

Rotating wallets means losing economic advantage.
Elite traders stay put — making their strategies mirrorable.

Hyperliquid exposes the entire lifecycle of every trade:

• opens, closes

• scale-ins, scale-outs

• leverage changes

• flips

• TWAP slices

• micro-fills

This is the full strategic footprint copy trading could never replicate.

Hyperliquid’s deep books and sub-second sequencing allow Senpi to mirror traders as actions occur, not minutes later.

BTC, ETH, SOL, AVAX, and dozens more — not $30K microcaps.

When you tap “Mirror” in Senpi, it feels simple.
Behind the scenes, it’s one of the hardest engineering problems in crypto.

Hyperliquid processes:

• up to ~200,000 order-events per second

• tens of thousands of traders

• constant opens, closes, flips, scale-ins and outs

• mid-flight leverage changes

• hundreds of TWAP micro-fills

• multi-asset strategies across dozens of tickers

The good news: every action is onchain, and HL’s fee structure heavily disincentivizes wallet rotation.

The challenge: replicating all of this, exactly, in real time, for thousands of Senpi users simultaneously.

So Senpi built the most precise mirror trading system in the Hyperliquid ecosystem.

• Tracks every HL trader and every trade in real time

• Reconstructs positions from raw fills (including TWAP slices)

• Computes leverage, PnL, flips, risk, and deltas

• Runs on Senpi-operated HL nodes + internal databases

• Enhanced with high-fidelity data from Allium and Hydromancer

This engine ensures Senpi always knows the exact state of the OG trader.

• Mirrors every open, close, long, short, flip, and adjustment

• Executes proportionally to each user’s budget

• Maps raw HL behavior → deterministic user outcomes

• Uses optimized HL transaction writers

• Handles fragmented exits, partial fills, and volatile deltas

If the OG trader breathes, Senpi mirrors that breath.

Markets are noisy. Drift happens.

If a user diverges from the OG by even a fraction:

• Senpi detects the deviation

• Recalculates the true deltas

• Issues corrective trades

• Re-syncs the user to perfect alignment

This maintains a continuously accurate mirror state.

Analyzes:

• every trader

• every trade

• every historical pattern

• PnL trajectory

• volatility behavior

• strategy archetypes

• risk factors

• consistency signals

Planned capabilities:

• Recommend the best HL traders for each user based on their risk tolerance

• Detect behavior shifts in OGs

• Suggest rebalancing or strategy rotation

• Track every strategy a user has ever run

• Build a learning layer across the entire Senpi user base

Senpi evolves from mirroring → coaching.
From automation → intelligence.

Mirror trading isn’t “copy what they do.”
It’s perfect state replication across high-frequency, leverage-driven, multi-asset systems.

Hyperliquid is the fastest, cleanest, most advanced perps environment in crypto.
To build Senpi, we had to match that rigor — and in some areas, exceed it.

The result:

Senpi now mirrors the world’s top 1% traders with unprecedented precision.
And with the Intelligence Engine, it will help users choose better, trade better, and perform better.

This is the future of trading.
And we’re just getting started.