# Gabagool 22 Trading Bot (@gabagool22) on x

- id: koinon:creator:x_gabagool22
- url: https://koinonlink.com/kol/x/gabagool22
- schema_version: 1.4

## Identity
- platform: x
- handle: gabagool22
- platform_url: https://twitter.com/gabagool22
- website: http://arbigab.com
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1563
- following: 26
- posts_total: 13127
- posts_observed: 2
- posts_per_day: 45.899
- account_age_days: 286
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00192
- best_post_interactions: 3
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: finance
- subcategory: crypto
- category_confidence: 0.94
- category_source: derived_from_recent_content
- topics: Arbigab version releases and new features like DCA, Bot resource optimization and VPS config, Polymarket market selection for higher profitability
- bio: Hola, i'm a trader on PM who reversed eng Gabagool/Distinct-Baguette algo.

Our production portfolio: https://t.co/dk0kRmAiwf

## Audience (inferred)
- status: present
- description: Arbigab trading bot users running automated arbitrage strategies on Polymarket, mainly VPS-based bot operators optimizing DCA and config
- roles: automation
- seniority: practitioner
- pain_points: High CPU usage when running multiple parallel DCA bots on VPS, Time spent fine-tuning bot parameters for stable performance, Low or zero profits in certain Polymarket phases like pools vs knockout markets
- posts_analysed: 3
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 56
- authenticity_basis: engagement_observed
- credibility_score: 56
- flagged_for_review: false
- koinon_bd_grade: B — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_gabagool22#90bd81dd] DCA is using more CPU than manual mode: we recommend all Arbigab users reduce the number of parallel bots from 4 to 2 per VPS vCPU. Most DCA issues come down to running too many bots at once, so if you're experiencing problems, lower your bot count. (https://twitter.com/gabagool22/status/2056082374450884887)
- [x_gabagool22#401ef485] 🎉🎉 ARBIGAB 1.6.1 is OUT for ALL USERS!!! We are introducing DCA: Dynamic Configuration Adjustments. If you don't want to spend time into fine tuning your Arbigab bots with the official weekly configuration updates, simply enable DCA for your deployed bots, and the trading algor
- [x_gabagool22#99f176f8] Pool phase profits were nothing: the FIFA Cup knockout markets are way more profitable on Polymarket. We have never made so much prof

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=117, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=80, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=117, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=117, method=platform_profile

## Freshness
- profile_checked_days_ago: 117
- content_analysed_days_ago: 80
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 11
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_gabagool22
- Request removal: https://koinonlink.com/claim?k=x_gabagool22
- Terms: https://koinonlink.com/for-ai