Prediction Case File
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Claude + IBKR API: Complete AI Trading Bot Guide

1 extracted signal · 0 resolved · 0 still active

Humbled Trader profile imageHumbled TraderIndependent analyst profile
Source published
20 Jun 2026, 15:47 UTC
Recorded by Tahlil Plus
15 Jul 2026, 14:57 UTC
Video preview for Claude + IBKR API: Complete AI Trading Bot Guide
Source overview

AI-generated source summary

The analysis focuses on building an AI trading bot using Python, Claude, and Interactive Brokers. The strategy involves scanning the market for gappers, specifically looking for stocks in the semiconductor sector that have shown strength. The 'Trend Join Long' strategy is defined by several filters: daily filters require the price to be above the previous day's high and above the 200-day SMA, with a gap of at least 3% from the prior close. Intraday filters require the price to be above the pre-market high and today's high, with relative volume at least twice the 14-day average. The entry window is between 9:05 AM and 10:30 AM ET, and the exit criteria include a stop at 1% below the low of the day and a partial profit target at 0.75R. The analysis demonstrates the setup process, including API configuration, Python environment setup, and creating a strategy file. The bot is designed to automate the trading cycle every 30 minutes, scanning for potential trades and executing orders based on the defined strategy. The ultimate goal is to have an autonomous trading bot that can execute trades, manage risks, and send alerts. A key observation is that the strength of the semiconductor sector is currently driving market momentum, with specific stocks like NVDA, MU, and AMD being highlighted.

AI-generated summary based on the source content.

Live evaluation

Signal outcomes at a glance

Evaluation Complete
Signals
1
Extracted from this source
Open
0
Still being tracked
Successful
0
Resolved successfully
Failed
0
Resolved unsuccessfully
Other
1
Cancelled, invalid or excluded
Resolved success
0 resolved; open signals omitted
Extracted intelligence

Signals in this source

Case timeline

Evidence and evaluation progress

  1. Original source published

    The analyst published the original source item.

  2. Source recorded by Tahlil Plus

    The public source was preserved as the evidence record for this case.

  3. Market predictions extracted

    1 eligible signal linked to this case.

  4. Outcome tracking started

    Tahlil Plus began monitoring the extracted predictions.

  5. Source processing completed

    Source analysis and structured extraction completed.

  6. First prediction resolved

    The first evaluable outcome in this case reached a terminal result.

  7. Case evaluation completed

    All evaluable predictions in this case reached terminal outcomes.

Analyst snapshot

Humbled Trader

Platform-wide history, separate from this source evaluation.

Reliability
44.4
Tracked signals
13
Historical success
41.7%
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Methodology & disclosure

Tahlil Plus independently records and evaluates public market predictions. Extraction may be AI-assisted and results follow the Tahlil Plus methodology. This information is not financial advice.

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