Trading education
Teach traders to read a chart, without your platform telling them what to buy
Chart-based lessons, practice on historical data, progress dashboards and AI explanations that describe what a student is looking at. For education businesses that want the engagement of AI without drifting from education into promotion.
Illustrative screen built on synthetic data
Who it is for
Built for trading education platforms
Trading academies and course providers
Businesses teaching technical analysis, risk and trading process to retail students.
Brokers with education programmes
Education inside the broker's own platform, kept clearly separate from promotion.
Community and tools businesses
Platforms where traders share and discuss charts, and need tools that keep the discussion descriptive.
What you get
Features for both sides of the screen
01
For your students
- Chart lessonsInteractive charts inside each lesson, with annotations that appear as the lesson moves on.
- Practice on historyReplay past sessions bar by bar and practise decisions where nothing is at stake.
- AI explanationsAsk what a pattern or indicator shows on this chart, and get a description, never a tip.
- ProgressLessons completed, practice sessions and the skills each one covered.
02
For your teaching team
- Lesson builderCreate chart-based lessons from historical data without a developer.
- Wording controlsThe wording check our chart analysis uses, applied to every AI explanation.
- Cohort viewsWhere students struggle, which lessons they repeat and where they drop out.
- Content recordsWhat was shown to which student, kept for your records.
Education, not promotion
Where the line sits for an education business
- 1
Teach the method
Explain how a pattern, indicator or risk rule works, on historical charts.
- 2
Practise on history
Let students apply it on replayed data, where nothing is at stake.
- 3
Describe, never direct
Any AI or live-market content describes what is on the chart and stops there.
How our AI explanations behave
What a student asking about their chart will and will not get
- Price targets
- Not produced. The explanation describes levels that are already on the chart.
- Entries and stops
- Not produced. Students learn how traders define them in lessons, on historical charts.
- Pattern names
- Given with the rules used to identify them, so students can check the reasoning.
- Live charts
- Described in factual terms only, and every explanation is logged.
Why AlchmAI
Why trading firms choose a specialist
Teach without tipping
Descriptive AI, by design.
Practice on history
Replay sessions bar by bar.
Charts done properly
From the team behind a 100m-tick chart.
Your brand
Your lessons, your look, your platform.
Records kept
What each student saw, on file.
Clear about our role
We build software; you own the teaching.
Selected work, global investment bank, trading floor
A charting engine for trade surveillance: hundreds of millions of ticks a day, views down to the nanosecond
If a bank's surveillance desk can chart every tick of a session in a browser, a broker's clients can have charts that do not stutter, lose drawings or disagree with the statement. The same engineering applies, at a fraction of the data volume.
100m+
ticks a day rendered per instrument view
ns
finest zoom level on the time axis
70%+
less routine compliance monitoring work
How we engage
It starts with a two-week Platform Review
1. Weeks 1 to 2
Platform Review
Read-only access. Findings report, costed plan and a prototype where it helps. You sign off the baseline we will measure against.
2. Weeks 3 to 8
Build, in fortnightly releases
Working software every two weeks on an environment you can use. Any AI wording is agreed with your compliance lead before a client sees it.
3. Go-live
Evidenced release
A runbook, an evidence file your compliance lead can read in one sitting, and an off switch for every AI feature.
4. Day 90
Results check
What changed, measured against the baseline you signed at the review.
Questions
Trading education platforms: common questions
Can you build a practice environment?
Yes: historical data replayed bar by bar, with simulated orders against it. It is for learning, not for predicting results, and we design it to say so.
Can students use AI to analyse their own charts?
Yes, with the same descriptive approach: the explanation says what is on the chart and how a pattern is defined, never what to do next.
Do you write the course content?
No. You own the teaching. We build the tools your educators use to create and deliver it.
Can lessons use live market charts?
Yes, where you have the data rights. Live charts follow the same descriptive rules as everything else.
Related
Often built alongside
FIX and broker API integration
Order entry, market data and drop copy over FIX, plus REST and WebSocket broker APIs.
Learn moreMarket data infrastructure
Feed handling, tick storage, aggregation, replay and distribution, monitored end to end.
Learn moreAI agents for trading teams
Narrow agents with fixed tools, limits, approval queues and a kill switch.
Learn moreShow us a lesson you want to make interactive.
We will sketch how it would work with real charts, practice on history and descriptive AI.