Hi dear,
I am new to BBT and trying to explore the trading terminal. Is there any video(s) to show me how to use the terminal and the scanner?
Thank youπ
Final update
The results need refining, usually. That's fine. Even with a real life mentor... their feedback is only as good as your input. When i get the results, i usually spot a few errors. For example, if you look at the results above from my last post. Trade #4 show's "+85R". That's obviously wrong. AI said it was just a typo error and offered to redo the results. It kept pulling information off of my handwritten notes and making up trades because i wrote a note about a ticker. i told it to only go by the CSV file for my trades and not my handwritten notes. That's the type of refinement i am talking about. it's not really a big deal. i just review the results and correct AI if it gives me absurd results.
Feel free to contact me about any of this! i will continue to use it as my one-on-one mentor.
There was an error. My worst day was NOT -$778. It was pulled from my hand written notes i uploaded. i told AI to omit those from the calculation and redo the Executive Summary. Here's the updated version:
π Executive Summary β DAS-Only Trade Logs
Timeframe: Jan 13 β Apr 10, 2025
Data Source: 57 DAS Trader Pro logs
Total Trading Days: 57 (Weekdays Only)
π 1. Performance Overview
Total Net P&L: +$2,128
Win Rate: 56.1%
Average Win: $144.78
Average Loss: β$100.20
Best Day: Jan 14, 2025 β +$329
Worst Day: Feb 28, 2025 β β$318
Most Profitable Weeks: Last 2 weeks of March, early April
π 2. Equity & P&L Trend
Steady upward equity slope with controlled red days
Best days clustered around clean, rule-followed trades
Worst days often linked to high position count or early overcommitment
β οΈ 3. Rule Compliance (5-Trade System)
Total Rule Violations: 17 Days (~30% of sessions)
Most common: Trading beyond 5 entries or continuing after 2 losses
Zero-violation days had significantly higher average P&L
π 4. Behavioral Insights
Behavior
Observed Pattern
Impact
π Early Trading
Most wins between 6:30β7:30am
β Positive expectancy
π Overtrading
Rule breaks = larger red days
β οΈ Reduced edge
π― Hotkeys
3R Button favored for quick scalps
β Controlled risk
π§ Mindset Drift
Red days showed increased trade count
β Breakdowns tied to tilt
π§ 5. Strategic Recommendations
β Hard Stop Discipline
Enforce stop after 2 consecutive red trades
Limit daily exposure β keep emotional capital intact
β Protect High-Win Days
Reduce trade frequency after large early wins
Let early green trend compound, not collapse
β Refine Best Hours
Focus most energy between 6:30β8:00am PT
This window holds >70% of winning trades
β Log Rule Score Daily
Rate yourself 1β5 on execution, mindset, and adherence
Match outcomes to self-discipline curve
I'm not moving forward with Grok. At this time, it's capabilities are limited. I had a conversation with Grok about it and even Grok agrees that ChatGPT is better used for this project π
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