2. Market Overview
2.1 The Rise of Algorithmic & AI-Driven Trading
Global markets have been shifting from discretionary, human-driven trading to systematic, algorithmic strategies for over a decade:
Market research estimates the global algorithmic trading market is growing from roughly $14–18B in 2024 to well over $30B by early 2030s, driven by institutional adoption and AI-enhanced strategies.
On some electronic venues, 70% or more of trading volume is already handled by automated systems (for example, automated systems accounted for ~70% of trading on Europe’s Epex power markets in 2024, up from ~44% in 2020).
In India’s index derivatives (Nifty, Bank Nifty, etc.), algorithmic strategies generated ~97% of profits for foreign institutional investors and ~96% for proprietary desks in FY 2024, showing how dominant automation has become for “smart money”.
At the same time, AI models are increasingly used to:
Scan vast data (prices, news, on-chain data)
Generate signals and features that a single human can’t monitor in real time
Optimize strategies and risk parameters
In this world, manual click-trading is structurally disadvantaged. The edge lies in:
Speed: reacting to signals and volatility instantly
Discipline: executing rules without emotion or fatigue
Complexity: combining conditions, multi-timeframe logic, and risk rules that are impossible to manage manually 24/7
2.2 Perpetual Futures & DeFi
Perpetual futures (“perps”) have become the dominant instrument for crypto traders because they allow:
Directional exposure with leverage
No expiry's (unlike traditional futures)
24/7 markets
DeFi and CeFi perps platforms (centralized & on-chain) now process billions in daily volume, but access to professional automation is still gated behind:
Proprietary quant desks
Expensive off-the-shelf bots with limited transparency
Custom infrastructure that most traders can’t build
This is the gap Perpbot aims to fill.
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