Finance & Investment Banking whale-trackingon-chain-analysiscrypto-tradingexchange-flowsmulti-agent-tradingmarket-surveillance

Whale Behavior Analyst (4.1)

Answers the critical crypto question — are whales dumping? — using on-chain large-transaction and exchange-flow data.

FollowSkills review · FSRS-2.0
Not recommended
44/ 100 5-point scale 2.2 / 5
1 2 3 4 5 6
1Trust13 / 25 · 2.6/5

Read-only on-chain whale analysis, disabled by default (AGENT_WEIGHTS_DEFAULT=0.05, opt-in), no destructive side effects; deductions: depends on external paid Nexus endpoints, no data provenance attribution, no fallback/rollback path, no permission scoping or confirmation mechanism at the skill level despite repo-level SECURITY.md.

2Reliability8 / 20 · 2.0/5

SKILL.md and persona.md are internally consistent (tier0/v1 JSON contract, threshold rule Dump≥0.65→bear vote); deductions: no skill-specific implementation or tests visible (whale key path absent from shown suites), NexusDataClient dependency unauditable, failure feedback on abnormal input undefined.

3Adaptability7 / 15 · 2.3/5

Clear scenario (on-chain trader querying whale sell pressure/exchange flow), explicit trigger queries, non-default scope disclosed; deductions: no Chinese support, core function depends on Nexus on-chain APIs (BNB Chain ecosystem, mainland-China reachability unverified), limited boundary/non-fit documentation.

4Convention8 / 15 · 2.7/5

Well-layered docs (SKILL.md + persona.md + few-shot + output schema), clear AGPL-3.0 license; deductions: no per-skill versioning/changelog, maintenance ownership and update path not stated at skill level, publisher unverified.

5Effectiveness5 / 15 · 1.7/5

Output format (gauge/probability/alert) directly usable, few-shot shows expected behavior; deductions: correctness and marginal value of dump-probability estimates entirely unverified, skill is disabled by default indicating authors excluded it from the default research combo.

6Verifiability3 / 10 · 1.5/5

Only few-shot examples and a stray dump_probability field in repo fixtures; deductions: no third-party execution evidence, no reproducible representative outputs, and the README's backtest return table has no direct linkage to this skill.

Evidence confidence:Low Reviewed Sep 09, 2026 Reviewed revision dd7115076904
Before you use it
  • Core function depends on paid Nexus on-chain endpoints (BNB Chain ecosystem); mainland-China reachability is unverified — confirm access before use.
  • Dump-probability and related predictions carry no verification evidence; do not treat as sole basis for trading decisions — the agent is disabled by default with minimal weight.
  • Static review only; no skill-specific tests found, failure modes and behavior when data is unavailable are unknown.
  • Publisher is unverified by the FollowSkills registry; identity treated as unknown. AGPL-3.0 imposes copyleft obligations on integrators.
See the full review method →

What does this skill do, and when should you use it?

Whale Behavior Analyst is one skill inside AI-Market-Maker (AIMM), an open-source agentic hedge fund system, located at src/agents/operator/4.1_whale_behavior_analyst/. It relies on Nexus on-chain endpoints to monitor whale transactions and exchange flows, and answers direct questions like 'Are whales dumping BTC?' with a sell-pressure gauge, dump probability, and dry-powder alert. The skill is disabled by default in weights and is strictly opt-in. It ships as one of 14 skills bundled in the repository.

Exposes a Tier-0 contract analyze(ticker, market_data, nexus_context); supports direct queries such as 'Are whales dumping BTC?' or 'What's the exchange flow balance?'; serves /whale_behavior_analyst?ticker=BTC/USDT returning a sell pressure gauge, dump probability, and dry powder alert; sources data from Nexus on-chain endpoints (whale tx, exchange flow) and large transaction monitoring.

  1. A crypto trader who wants to verify whether whales are moving BTC to exchanges before opening a position
  2. A quant researcher integrating exchange net inflow/outflow as a signal factor into a strategy
  3. A risk team that wants a dump-probability alert when large on-chain transfers spike
  4. An AIMM operator who wants to opt into the whale-behavior analysis desk

What are this skill's strengths and limitations?

Pros
  • Direct natural-language query interface with concrete, readable outputs (gauge, probability, alert)
  • Grounded in objective on-chain data — large transactions and exchange flows — rather than sentiment
  • Follows the unified Tier-0 Input→Output contract, easy to plug into the AIMM workflow
  • Disabled by default, so it does not affect users who don't opt in
Limitations
  • Hard dependency on Nexus on-chain endpoints; unusable without Nexus access
  • Opt-in by default and the enabling procedure is not documented in the source
  • No skill-specific tests, accuracy metrics, or backtest evidence
  • Covers only the whale-behavior dimension and cannot be a standalone trading decision

How do you install this skill?

The skill ships with the ai-market-maker repo: git clone https://github.com/olaxbt/ai-market-maker.git, then install dependencies per the README with uv sync --extra dev (TA-Lib must be installed separately). The skill file lives at src/agents/operator/4.1_whale_behavior_analyst/SKILL.md. OpenClaw users can run claw install https://github.com/olaxbt/ai-market-maker. Standalone install steps for this single skill are not documented.

How do you use this skill?

Enable the skill (note: disabled by default in weights, opt-in only — the exact enabling step is undocumented). Query /whale_behavior_analyst?ticker=BTC/USDT to get the sell pressure gauge, dump probability, and dry powder alert, or ask directly, e.g. 'Are whales dumping BTC?'. It depends on NexusDataClient on-chain endpoints, so Nexus data access must be available.

More skills from this repository

All from olaxbt/ai-market-maker

Finance & Investment Banking

News Narrative Miner

Mines breaking news and narrative phases for a given crypto asset, scoring impact and decay so trading teams know what story is moving the market.

Finance & Investment Banking

Pro Bias Analyst

Determines whether smart money is buying or selling an asset like BTC by fusing ETF flows, futures basis, and options skew into a single pro bias score.

Finance & Investment Banking

Liquidity Order Flow Analyst (4.2)

Assesses slippage risk and order-book imbalance from depth data, giving crypto trading decisions liquidity-side evidence.

Finance & Investment Banking

Pattern Recognition Bot (2.1)

A technical-pattern recognition skill for crypto traders: given market data, it returns the forming pattern label, setup score, support level and reasoning so you know what structure the market is building.

Finance & Investment Banking

Statistical Alpha Engine (Skill 2.2)

Ranks every asset in a trading universe cross-sectionally to answer questions like 'where does BTC rank right now?'

Finance & Investment Banking

Risk Guard

A hard-veto risk gate that validates signals against drawdown and policy limits before execution — the final safety layer of the AIMM agentic hedge fund OS.

Finance & Investment Banking

Technical TA Engine

A standardized technical-analysis layer for crypto trading that computes an indicator bundle (RSI, MACD, etc.) from OHLCV data and returns a 0–100 composite score with confidence.

Finance & Investment Banking

Retail Hype Tracker (Skill 3.1)

Detects whether retail FOMO is building on a trading pair, using social sentiment, funding rates and divergence warnings, so you don't buy the top of a hype cycle.

Finance & Investment Banking

AIMM Portfolio Management Skill

Get an instant snapshot of your AI hedge fund portfolio: NAV, exposure, and all open positions in one query.

Finance & Investment Banking

Profile Agent — Trader Profiler

Turns a short questionnaire on risk tolerance and horizon into a trader profile with weight deltas and a readable narrative, feeding personalized configuration into a multi-agent trading system.

Finance & Investment Banking

AIMM: OpenClaw Multi-Agent Trading Skill

A hedge-fund-style multi-agent crypto trading system packaged for OpenClaw, with a hard risk-control veto and quant-grade backtesting.

Finance & Investment Banking

Monetary Sentinel

Reads macro and on-chain liquidity data to classify the market as Risk-On or Risk-Off, returning a liquidity score with cited reasoning.

Finance & Investment Banking

Policy Orchestrator

Centralized policy check and routing for the AIMM agentic trading system: decide whether a given ticker is allowed for a user, with reason and policy ID.

Related skills