How it works

From pre-session check-in
to live intervention.

PsyRule reads your trade sync and your check-in answers, names the loops it sees in your history, and surfaces them before the next instance.

What it watches

PsyRule needs three things to learn your patterns: your trade history, a 30-second pre-session check-in, and time. The first 2–3 weeks it's mostly listening — measuring your normal re-entry time, your normal sizing, your normal post-loss behavior. Then the rules sharpen.

Cost figures and the session example below are modeled from a small private beta and internal historical data — not aggregated customer outcomes. Your patterns and costs will be specific to you.

01
Check in before trading

A 30-second check-in, two minutes before you trade.

Mood, confidence, fatigue, and risk temptation — logged while you're still thinking clearly. The inputs that change your sizing, captured before the chart can move them.

02
Trade with rules visible

Your limits stay in view as pressure builds.

Personal limits, challenge rules, and risk thresholds are anchored on screen. Once the session starts, they lock in — bypass requires a 60-second cooldown and a logged reason.

03
Detect behavior shifts

PsyRule watches for the discipline leaks.

Faster re-entry after a loss, size increases after a stop-out, overtrading after profit. Each leak is matched against your own historical pattern — not a generic threshold.

04
Interrupt the loop

Friction, not blocking.

Cooldowns, confirmations, and warnings tied to your personal history. PsyRule doesn't stop the trade — it surfaces what the trade has cost you the last time the same loop ran.

05
Review the pattern

After the session, see the sequence.

What happened, why it happened, and which rule would reduce the same mistake next time. Patterns become rules. Rules become a discipline profile.

The four patterns it knows by name

Behavioral loops are not abstract. Each has a sequence, a trigger, and a cost — and PsyRule names yours specifically.

01
Revenge loop
First loss shorter wait larger size second loss

A losing trade compresses your re-entry time and inflates your sizing. The second trade is rarely the recovery you imagined.

Modeled cost~$312avg per detected event
02
Green-day giveback
Early profit overconfidence extra trades profit gone

A winning open lowers your selection bar. You take setups you would have skipped on a flat day, and the day's gain quietly disappears.

Modeled cost~$184avg giveback per green day
03
Late-session decay
Focus drops weaker setups emotional trades

Past a personal cutoff your win rate drops sharply, but the trades keep coming. The decay is in attention, not in the market.

Modeled cost~$96avg loss per late-window trade
04
Challenge pressure
Near target fear of giving back forced setups

Within reach of the target, every setup looks like the one that closes it out. The forcing is what ends most challenges.

Modeled cost~$2,000a blown challenge fee, on average

The proof, in one chart

One session from internal beta. Two lines. One moment of decision. The dashed line is the trader's own historical pattern; the solid line is what actually happened.

Session #142 · equity curve 10:00 → 16:00
if loop ran PSYRULE FIRED · 11:02
10:0011:0012:0013:0014:0015:0016:00
Actual session If the loop had run
10:14 → 10:27
Two stop-outs in 13 minutes.

Re-entry compressed from 12 min to 4. Size up 35%. The same sequence ran in 6 prior sessions — every time the third trade lost.

11:02 — moment of decision
PsyRule named the loop before the third trade.

Not "you're tilted" — specifically: this is your revenge loop, it has cost you $312 on average, hold 90 seconds. The trader paused.

14:02 → 16:00
Session closed green.

The dashed line is what the trader's history said would have happened. The solid line is what did.

Every Sunday,
your week in one page.

Not a generic dashboard. Your specific failure conditions, named with dollar costs and one rule to try this week. Here's an actual report.

PsyRule · weekly behavioral report
Trader: you · FTMO 100k · sent Sunday 18:00
Week 17 · Apr 14 – Apr 20
You broke even on P&L.
Three rule breaks
did the damage.
Net P&L
+$84
Behavioral cost
−$1,140
Sessions
9
Rule breaks
3
Cost by pattern

Where the money actually went.

Revenge loop · Tue, Thu−$624
2 events · re-entered within 6 min after stop-out
Late-session decay−$348
4 trades after 16:00 · win rate 25%
Green-day giveback · Wed−$168
+$240 by 11:00 → −$72 close · 3 unplanned trades
When you traded well, when you didn't

Your edge window: 09:00–13:00.

Mon
Tue
Wed
Thu
Fri
Sat
Sun
07
09
11
13
15
17
Loss
Win
Recommended rule for week 18
Stop trading at 16:00 sharp.
Estimated saved: $480/wk.
Your win rate drops from 61% (08:00–14:00) to 28% after 16:00. You traded past 16:00 on 4 of 5 days last week. Every one of those trades was a loser.

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