We’re building research tools for traders who use price levels to plan entries. Define the setup, examine the conditions, and make the reasoning behind a decision visible.
Hover or use ← → to inspect.Tap a candle to inspect.
Historical prices: Dukascopy. Levels use the previous UTC session.
01 / A SPECIFIC QUESTION
The level is clear. The entry is less obvious.
An hourly close above Camarilla H4 creates a defined research setup: an assumed entry, a target at H5, and a stop below H3.
01 / OBSERVE
A hesitant breakout
The 03:00–04:00 UTC candle closes above H4. Its small body and upper wick suggest a weak close, even though price later reaches H5.
02 / DEFINE THE PLAN
Make the assumptions explicit
Assumed entry
3011.435
Target · H5
3020.330
Stop · below H3
3004.708
Reward / risk
1.32R
03 / EXAMINE THE CONTEXT
Would a filter wait?
A simple close-quality baseline waits for stronger confirmation here. It would also miss the move to H5. That trade-off is part of the question we want to investigate.
Baseline: wait
Data, calculations, and research assumptions
Historical data
XAU/USD bid quotes from Dukascopy, 18 March 2025. One-minute OHLC data is aggregated into UTC hourly candles. The market break at 21:00 UTC is left empty.
Previous session, 17 March: high 3002.665, low 2981.975, close 2999.518.
Assumed entry: signal close + $0.20. Stop: H3 − $0.50. These buffers illustrate the setup; they are not calibrated parameters or recorded fills. Fees, spread, and slippage are excluded.
A baseline to question
The illustrative baseline requires a bullish body of at least 60% of the candle’s range, a close in the top 30%, and reward/risk of at least 1.20. It uses only information available when the signal candle closes.
The historical chart and local calculations illustrate a research workflow. No AI model runs on this page, and this selected session is not evidence of predictive performance.
02 / THE PRODUCT DIRECTION
From recognizable patterns to reviewable decisions.
Our hypothesis is that contextual AI analysis could help traders compare entry conditions and understand the reasons to enter, wait, or pass.
Define
Start with repeatable levels, entry conditions, and invalidation.
Explain
Make the evidence and competing interpretations easy to examine.
Evaluate
Test the filter on unseen periods, including losing trades, missed moves, and costs.
03 / MINDFORTEX
A small team. A practical foundation.
Mindfortex is a five-person startup working on market pattern recognition and trading research tools.
DEVELOPMENT FOUNDATION
MetaTrader 5 indicator research
Camarilla calculations and MultiPivotX indicator work provide a practical starting point for our research workflows.
View indicator example
Daily and weekly Camarilla levels · JP225 / M30. Chart supplied by the team. Open original chart
MULTIPIVOTX / PROJECT RECORD · 01 SEP 2026
Platform
MetaTrader 5 indicator
Level families
Pivots · CPR · Camarilla
Calculation periods
H1 · H4 · D1 · W1 · MN1
Existing build log
Result: 0 errors, 0 warnings
From the project’s README, changelog, and saved compiler log. Weekly levels also support a Monday 00:00 GMT boundary.
CURRENT FOCUS
Contextual entry filtering
Our entry-filter concept is at the research stage. We’re exploring how contextual analysis could support the review of defined trading setups.
LET’S TALK RESEARCH
Bring a setup. Ask a better question.
Tell us the market, timeframe, and entry decision you’re working on.
