01
The work was everywhere.
Execution lived in one platform, analysis in another, plans in documents, reflection in journals and development conversations in chats or coaching calls.
Company · The people behind PRAETIR
Built by traders who knew what review was missing.
PRAETIR began as a working group of two trading coaches and ten traders. Together, we collected the parts that existing tools kept separate and turned them into one connected development system.
12
founding contributors
2
coaching perspectives
1
shared review framework
Founding group · knowledge assembly live
Twelve perspectives enter. One review intelligence emerges.
Two coaches and ten traders challenged the same facts, context, plans, behavior and development history. Their aligned review standard became the logic the AI was trained to work with.
Knowledge transfer active
Human review evidence entering
12 / 12 channels separated
C1
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
C2
Knowledge
Engine
Aligned review logic transferred
Aligned training record
05 checks passed
Facts aligned
Context attached
Plan compared
Behavior challenged
Development preserved
- Human input
- 12 separate sources
- Knowledge engine
- Cross-checked
- Validation
- 05 checks passed
- Training input
- Synchronized
Our story
PRAETIR started with a shared frustration.
There were tools for execution, statistics, journaling and communication. What was missing was a system that could preserve the complete story of a trader's development and make it reviewable every day.
The original problem
Traders were doing the work. Their systems could not hold it together.
A good review needs more than a P&L number. It needs the trade, the session, the plan, the journal, the screenshot, the risk decision, the behavior and the development history around it.
PRAETIR was created to make that complete review possible without rebuilding the trader's day across disconnected tools.
02
The review was missing.
Traders could see results, but not the complete relationship between a trade, its context, the plan, the behavior behind it and the next development focus.
03
Twelve perspectives became one framework.
Two coaches and ten traders compared what repeatedly went missing and assembled the rules, questions, evidence and behavioral context required for a useful review.
04
That framework became PRAETIR.
We turned the shared review standard into a connected platform where trading days, analytics, journals, plans, community context and SENTINEL AI work together.
The founding group
Two coaches. Ten traders. Twelve different perspectives on the same problem.
The platform was not designed from a theoretical feature list. It grew from real coaching questions, real trading routines and the recurring gaps that appeared when traders tried to understand their own development.
02
Coaching perspective
Review logic shaped across two trading environments.
The two coaching perspectives came from German-speaking and English-speaking trading environments. Together, they compared how traders build plans, describe mistakes, respond to pressure and turn feedback into measurable work.
Plan construction
Behavioral review
Coaching questions
Development tasks
10
Trader perspective
The framework had to survive real trading days.
Ten traders contributed different routines, strengths, blind spots and reactions to pressure. Their role was to challenge every assumption and make sure the review system remained useful outside a coaching conversation.
Execution reality
Different routines
Recurring mistakes
Usable feedback
The shared outcome
One review language that connects coach, trader and evidence.
The result was not one person's trading style. It was a common structure for asking better questions about plans, trades, behavior and development.
12 perspectives connected
How SENTINEL AI was shaped
SENTINEL AI was trained to review the trader behind the trade.
The coaches translated their shared review framework into SENTINEL AI's review logic. The goal was never to teach an AI to predict markets. It was to teach it what experienced coaching looks for when a trader's plan, evidence, behavior and self-perception are reviewed together.
Original SENTINEL AI core
Coaching logic meets trader evidence.
Coach
framework
Trader
evidence
Personal
context
Review synthesis
Three inputs become one grounded directive.
01Framework
02Evidence
03Context
01
Trader profile
Style, goals, preferred markets, recurring tendencies and personal development context keep the review specific to the individual trader.
02
Trading plan
Session windows, approved setups, entry requirements, invalidation, risk limits and no-go rules form the baseline for every comparison.
03
Trade evidence
Entries, exits, size, sequence, timing and the equity path create an objective record of what actually happened during the session.
04
Behavior patterns
SENTINEL AI looks for repeated shifts such as rushed re-entry, overtrading, hesitation, rule drift and decision quality changing after wins or losses.
05
Journal and evidence
Written reflection and attached screenshots add intent, market structure and self-perception to the execution data instead of sitting beside it.
06
Development memory
Reviews remain connected over time so recurring behavior, previous coaching tasks and the current improvement objective do not disappear after one day.
The review standard
Five questions keep every review grounded.
SENTINEL AI connects these questions instead of producing a generic answer from one isolated metric.
01 · Facts
What objectively happened?
02 · Context
What surrounded the decision?
03 · Plan
Did execution match the intended rules?
04 · Behavior
What repeated or changed under pressure?
05 · Development
What should become the next measurable focus?
What we believe
A better trading review should create clarity, not dependence.
PRAETIR is built around four principles that came directly from the founding group's coaching and trading experience.
01
Evidence before opinion
A review begins with trades, timing, risk, rules, journal context and attached evidence before it reaches a conclusion.
02
Individual before generic
The same action can mean something different for two traders. The trader profile and plan determine what the evidence means.
03
Process before prediction
PRAETIR is designed to improve review quality and decision discipline, not to predict the next market move or provide trade calls.
04
Development over time
One trade is a data point. Repeated behavior across trading days is where a meaningful development signal begins to appear.
What PRAETIR does
It makes the trader's own process reviewable.
Connects trading days, analytics, journal and plan context
Compares execution with the trader's own rules
Surfaces recurring behavior and contradictions
Preserves development history and next focus
What remains the trader's responsibility
PRAETIR supports judgment. It does not replace it.
The trader remains responsible for every market decision, every risk decision and the interpretation of every review.
PRAETIR is a performance-review tool. It does not provide trade signals, financial advice or profit guarantees.
About PRAETIR · FAQ
The short answers behind the full story.
Clear answers about the people, experience and review framework behind PRAETIR and SENTINEL AI.
01
Who built PRAETIR?
PRAETIR was built by a founding working group of two trading coaches and ten traders who combined their coaching frameworks, trading routines and recurring review problems into one connected system.
02
Why were two coaching perspectives important?
The review framework was shaped through coaching experience from German-speaking and English-speaking trading environments. That helped remove local jargon and preserve the principles that matter across different traders and routines.
03
What was SENTINEL AI trained to understand?
SENTINEL AI's review logic was trained and shaped around trader profiles, trading plans, trade evidence, journals, screenshots, behavior patterns, rule compliance and development history.
04
Does SENTINEL AI make trading decisions?
No. SENTINEL AI reviews the trader's own evidence and process. It does not execute trades, provide signals, offer financial advice or promise performance results.
From shared experience to a connected system
Built with traders. Shaped by coaches. Designed for measurable development.
Explore the current product or join Early Access if PRAETIR matches the way you want to understand and improve your trading process.
PRAETIR · Connected Trading System.