Backtesting methodology
Build and stress-test strategies against historical data before risking capital. Understand which parameters actually hold and which are curve-fitted noise.
Structured discipline is the edge most traders overlook - Algobasecamp exists to change that through systematic education and automated tools.
What we do
Discipline as a repeatable process
Algobasecamp teaches traders to separate decision-making from emotion by encoding rules into backtested systems and AI trading bots. Most losses come from breaking a plan under pressure - not from a bad plan.
The curriculum covers automated trading mechanics, crypto automation strategy, and the psychological frameworks that keep a trader consistent when markets move against them.
8+
Core modules
4
Live bot labs
Core areas
What the curriculum covers
Each track addresses a specific failure point - from misreading a binance trading signal to running a crypto bot without a defined exit rule.
Auto trading bot setup
Configure and deploy an auto trading bot on the binance website or compatible exchanges. Learn position sizing, stop logic, and how to audit bot behaviour in live conditions.
Trading psychology
Identify the cognitive patterns - revenge trading, FOMO entries, premature exits - that override even a solid strategy. Build pre-session checklists that enforce rule adherence.
Crypto automation design
Structure a full crypto automation workflow - signal generation, order routing, and monitoring. Covers both AI trading bots and rule-based bots for trading across multiple pairs.
Risk and drawdown control
Define maximum daily drawdown thresholds and circuit-breakers before entering a session. Discipline applied at the system level removes the need to decide under pressure.
Live review sessions
Walk through real crypto bot trades with instructors - what triggered the entry, whether the exit matched the plan, and where the logic can be tightened.
Behind the platform
Practitioners, not theorists
The instructors at Algobasecamp have built and run bots for trading in live market conditions - not in simulated environments. Courses reflect decisions made with real risk attached.
Tobias Vreeland leads the psychology curriculum, drawing on years of journaling trader behaviour patterns. Nadia Okonkwo handles the technical track, covering everything from connecting to the binance website API to stress-testing an AI trading bot against volatile sessions.
Launched in 2025 and based in Tillsonburg, Ontario, the platform was built to fill a specific gap: structured, technically honest education for traders who already understand the basics but keep self-sabotaging at execution.
Backtesting
AI trading bots
Crypto automation
Binance trading
Risk discipline
Crypto bot setup
