Kamla Academy starts as a compact curriculum on risk, signal reading, public proof and automation boundaries. Education first, not financial advice.
Lessons in the curriculum
12
Modules
4
Minutes
79
Levels
3
Curriculum
Module 01
Understand what Kamla can and cannot do before connecting capital, signals or execution workflows.
Separate signals, execution responsibility and account custody.
Write down max position, daily loss and drawdown limits before taking signals.
Spot language that would turn education into advice or performance promises.
Module 02
Learn how to inspect score, action, timing and confidence without treating any signal as a command.
Map symbol, action, confidence and market context into a review routine.
Convert a signal into entry, invalidation and sizing notes before execution.
Identify macro blackout, liquidity and risk-state reasons to stand down.
Module 03
Use the public track record as a transparency tool, including its proxies and known limitations.
Read the public proof page without over-weighting a single metric.
Understand why positive trading days are a proxy until per-trade public P/L is exposed.
Connect proof and plan choice without urgency around returns.
Module 04
Prepare for guided automation by defining approval, paper-mode and kill-switch boundaries first.
Use paper verification as a required stage, not a marketing checkbox.
Define which actions require manual approval and when automation must stop.
Check account, billing and risk settings before considering live workflows.
This curriculum is intentionally small: it supports acquisition and activation while keeping return promises, investment advice and automation guarantees out of scope. The lessons lead to proof, risk and plan surfaces that are already measurable by attribution.