Fake Orders, Wash Trading & Whale Moves
In the crypto world, the market isn’t always what it seems.
Fake orders. Spoofing. Wash trading.
Whales moving millions to shake out retail traders.

Most bots fall for these traps.
At FELOS LIMITED, ours don’t.

Here’s how our system detects and adapts to the dirty games happening inside order books — and how that gives us a real edge.

The Problem: The Market Lies
Crypto is unregulated territory.
Many platforms allow — or turn a blind eye to — manipulative tactics like:

Spoofing: placing large fake orders to mislead bots

Wash trading: buying and selling to yourself to fake volume

Fake depth: stacking the order book to create illusion of liquidity

Whale baiting: triggering mass liquidations with one big move

Retail traders can’t track it.
Most bots can’t see it.
But these patterns are visible — if you know where to look.

How Our Bots Detect Spoofing & Fake Orders
Our bots scan every millisecond of order book data — not just the trades that happen, but what gets placed and canceled.

Here’s what we track:

Order lifespan: True orders tend to stay longer. Spoofers cancel within milliseconds.

Placement behavior: Spoofers place big walls far from price, then move them as price approaches.

Repeated patterns: We flag addresses or accounts that create the same structure again and again.

Once our bot sees this behavior, it knows:
Don’t follow that signal. Avoid the trap.

Wash Trading? We Don’t Bite
Exchanges sometimes allow (or simulate) high volume to look “active”.
But our system doesn’t trust raw volume.

We go deeper:

Cross-checking wallet flows

Comparing buyer vs seller fingerprinting

Matching time & slippage with actual fills

If volume looks unnatural — we ignore it.
Our bots only react to authentic market interest.

Whale Detection: Follow, Don’t Fight
When a whale moves, most bots panic.
They buy into pumps or sell into dumps.

Our bots stay calm. They’ve been trained to profile large trades:

Was this an isolated buy, or part of a strategy?

Is it tied to a news event?

Is it aimed at triggering liquidations?

FELOS bots observe liquidity drain and rebalancing, rather than just price spikes.
If a whale is manipulating, we don’t get caught — we ride the aftermath.

AI Meets Market Microstructure
What sets us apart?

We combine order book analysis with AI-driven pattern learning:

Millions of market snapshots

Behavioral fingerprinting of traders

Context from news, Twitter, founders’ comments

Machine learning that updates live

Most bots follow the price.
We follow the intention behind the price.

What This Means for You
At FELOS, we’ve designed our bots to:

Detect fake signals
Avoid manipulation traps
Ride real momentum
Profit from chaos others can’t read

Because in a market full of noise,
clarity is the real alpha.