Oscarreading…
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AI trading mentorSee how he finds the leak
Meet Oscar, the mentor inside your trading record.
Oscar is not another chatbot bolted onto a journal. He reads the evidence you already create: trades, journals, screenshots, rules, risk decisions, mistakes, and commitments. Then he tells you what is costing you consistency and what to correct next.
Create an account and start from your own trading record.
- Every traderead in context
- Every rulechecked against behavior
- Every patternsurfaced before it compounds
- One mentorfocused on your process
OscarGrounded in your own trading record
Trades
- 09:31 · ES−$112
- 09:42 · ES+$162
- 10:14 · NQ+$245
Journal
“Cut size after two losses. Wait for confirmation.”
Rules
No entries before 09:35Strategy
Edge after confirm+1.4R
Oscar reads
- Links fills, charts, rules, and reviews.
- Separates strategy failure from execution failure.
- Turns repeated behavior into a concrete next rule.
The missing layer
Your journal has the evidence. Oscar connects it.
Most traders do not fail because they lack another metric. They fail because the same behavior hides across trades, notes, screenshots, and rules until it becomes expensive. Oscar is built to read that whole record and name the pattern before it hardens into habit.
Trades and executions
Entries, exits, partials, timing, sizing, P&L, R-multiple, account context, and the sequence of decisions around the trade.
Journal entries and reviews
Daily notes, weekly reviews, session reflections, trade comments, emotional context, screenshots, and the explanation you wrote when the result was still fresh.
Rules and commitments
The playbook you said you would follow: risk limits, setup criteria, entry windows, reset rules, size reductions, and promises made after painful sessions.
Strategies and account reality
Oscar reads performance in context: instrument, strategy, account, session, market, timezone, broker import, and the way your process changes under pressure.
Oscarreads the whole file
See Oscar at work
One record. Three leaks. The same mentor reading them out loud.
Each scenario starts with evidence already in the journal. Oscar connects the dots, names the pattern, and proposes the next rule.
Evidence31 trades · last 18 sessions
- 09:31−$112
- 09:32−$87
- 09:34−$214
09:35confirm
- 09:42+$162
- 09:51+$208
- 10:14+$245
Before vs after
−$413+$615
Oscarreading
Your setup is fine. Your entry timing is not.
Profitable after 09:35 confirmation. Deeply negative before it. The leak is timing drift — not edge.
New rule: no entries before 09:35 confirmation.
What Oscar finds
The leak is usually not where the trader thinks it is.
Oscar should feel useful because he does not accept the first explanation. He compares what happened, what you wrote, what your rules say, and what repeated later.
A profitable setup with a bad entry window
The setup works after confirmation and loses before 9:35. Oscar turns that into a rule the trader can actually follow: watch the open, wait for confirmation, then engage.
A risk rule that breaks after pressure
The trader says they cut size after two losses. The record shows full size on the third trade, then a worse close. Oscar names the behavior without drama and asks what changed before the decision.
cut after two lossesbroken · today
Good P&L hiding poor execution
A winning week can still show bad process: late entries, poor stop placement, early exits, or one oversized win masking six low-quality trades. Oscar separates result from execution quality.
Repeated mistakes disguised as different stories
Three trades are labeled as three different mistakes. Oscar groups them by behavior and shows they are the same pattern: chasing extension, tightening the stop, then calling it discipline.
MON
WED
FRI
one patternOscar's voice
Direct, specific, impossible to confuse with generic AI advice.
The value is not a longer answer. The value is the right question, grounded in the user's own record, asked at the moment when it can change the next session.
CASE 0143 · LOG 12Oscar
“You called these three trades different mistakes. They are the same pattern.”
CASE 0211 · LOG 04Oscar
“Your setup is not broken. Your entry timing is.”
CASE 0287 · LOG 19Oscar
“On Feb 4 you wrote that you cut size after two losses. Wednesday you did not. What changed?”
The coaching loop
Oscar turns review into correction.
A normal journal captures what happened. Oscar is designed to close the loop: read the evidence, ask the hard question, remember the answer, and turn it into a rule for the next session.
Reads the evidence
Oscar starts with the actual record, not a prompt written from memory after the damage is done.
Asks the question
He challenges the specific trade, setup, rule, or decision that needs an answer before the pattern repeats.
Stores the commitment
When the trader says, 'I stop after three losses' or 'no trades before confirmation,' Oscar treats it as a commitment, not throwaway text.
Checks the next session
The next time the same condition appears, Oscar has context. He can show whether the trader followed the rule or drifted again.
Long memory
The relationship compounds because Oscar remembers.
A useful mentor does not forget what was said last month. Oscar's end state is a durable memory of goals, weak points, rules, recurring mistakes, and the user's own words, so each review starts deeper than the last.
Feb 4commitment
82 dayssilence
todaydrift detected
Journal
“Cut size after two losses. Wait for confirmation before re-entry.”
Oscar remembers
Commitment stored. Linked to future sessions with the same setup.
Today · ES 11:18full size · trade #3
Pulled the receipt from Feb 4. Same setup, opposite behavior.
Commitments become measurable
If the trader commits to half size after a loss sequence, Oscar can watch the next sessions and bring the promise back when behavior diverges.
Goals stay attached to behavior
Oscar links goals to the specific process that supports them: risk discipline, review completion, execution quality, and setup selection.
Drift becomes visible
When a trader moves away from the setup they claimed was their edge, Oscar can compare the old statement against the new behavior and ask why it changed.
Use him now
Three questions Oscar already has receipts for.
Ask Oscar where your process is leaking, why a setup is underperforming, or which behavior keeps showing up after losses. The useful answers come from your own record.
Where Oscar is going
From assistant to mentor.
Oscar's direction is clear: less prompt engineering, more timely coaching. He should not wait for the trader to ask the perfect question. He should watch the record, remember the commitments, and speak up when the pattern starts costing money.
Q3
Weekly debriefs
A Sunday review that names three wins, three mistakes, one open question, and one lesson for the next week, grounded in specific trades.
Q3
Post-import summaries
After a broker import settles, Oscar can scan the new trades and surface the one or two observations worth reviewing before they disappear into the table.
Q4
Dashboard nudges
A quiet dashboard presence: today's open question, the latest unread observation, or a reminder to review yesterday's session.
Q4
Mistake-pattern alerts
When the same behavior crosses a threshold, Oscar can show the receipts before a small leak becomes a full drawdown.
What Oscar is not
No signals. No predictions. No outsourced judgment.
Oscar does not tell traders what to buy, sell, or predict. He works on the process: what the trader did, what they said they would do, what changed under pressure, and which habit should be corrected next. The edge stays the trader's. Oscar makes the evidence harder to ignore.
- No signals
- No predictions
- No outsourced judgment
Bring the record. Oscar will find the work.
Create an account and start from your own trading record.
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