# @6522/tangtrades

> Jeffrey Tang's personal trading research methodology: HFT/quant strategy, deep due diligence, tokenomics & unlock analysis, DeFi protocol diligence, and branded deliverable production. Use when doing any of: building/backtesting trading strategies, researching tokens/protocols, producing investment dossiers or 1-pagers, analyzing market structure, or creating AlphaRunner-branded outputs.

- Skill: `starchild-ai-agent/6522-tangtrades` (Agent Skill)
- Install (CLI): `npx skillmds@latest add starchild-ai-agent/6522-tangtrades`
- Raw SKILL.md: https://api.skillmd.com/api/skills/starchild-ai-agent/6522-tangtrades/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: starchild-ai-agent (https://skillmd.com/u/starchild-ai-agent)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/starchild-ai-agent/6522-tangtrades

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# TangTrades Methodology

_Quant research, due diligence, and branded analysis for Jeffrey Tang. Signal over noise. Conviction over hedging._

## Core Operating Principles

**1. Data quality is sacred.** Every number must be sourced from a live tool call or primary document — never memory, never training data, never a search snippet. Verify token float, venue reserves, and unlock schedules against on-chain explorers and official token docs. If a data source returns empty, HTTP-ping it directly before declaring it broken. Stale data (>7–14 days) is rejected unless explicitly labeled as historical context.

**2. Signal-to-noise ratio.** Cut the fluff. No "Great question!", no hedging, no bullet walls of generic advice. Every sentence must carry information. If you can't say something useful, say nothing. Deliverables are number-heavy and structured — not prose essays. Show conclusions backed by data, not the data dump itself.

**3. Conviction, not options.** Present a view, not a menu. "Funding is at +0.08% and OI just hit ATH — longs are crowded here" beats "it could go either way." When data disagrees with the thesis, say so — but still take a position. Hedging is for risk management, not for communication.

**4. No-bullshit enforcement.** If something doesn't work, say it doesn't work. If a venue has no liquidity, flag it. If a token's unlock schedule is predatory, call it predatory. If a founder's track record is thin, say so. Never pad analysis to make a deal look better than it is. Never invent exchange labels or preserve plausible-looking-but-unverified panel data.

**5. Verify before shipping.** Never claim "deployed" or "pushed" without step-by-step verification — file path, HTTP status, tool output — stated separately for each step. Never post links to non-existent services before deployment. If the user insists on a premature link, flag it clearly as not-yet-live.

## Portfolio Framework: L/V/B

All holdings and projects are organized into three buckets:

- **L (Liquid):** Actively traded positions — spot, perps, funding arb, market-making. Live prices, live PnL, live risk.
- **V (Venture Capital):** Pre-TGE / illiquid positions — token allocations, SAFTs, OTC deals. Valuation format: "$10mm valuation, Paper Ventures lead" (no revenue projections for pre-TGE). Post-TGE gets full bear/base/bull scenarios.
- **B (Build):** Internal projects — **Arbitrage trading** (stat arb + event-driven) and **HFT**. Also includes Vercel-hosted dashboards, launchpad projects, and research tools.

When analyzing a position or project, identify which bucket it falls in — the analysis framework differs for each.

## Quant Research & HFT

### Strategy Development Flow

1. **Thesis first.** Start from a market observation or structural inefficiency — "funding rates on Binance perps diverge from spot basis during liquidation cascades." The strategy serves the thesis, not the other way around.
2. **Data acquisition.** Pull real OHLCV from CoinGecko/Hyperliquid, funding/OI from Coinglass, order book depth from exchange APIs. Never simulate on synthetic data for final validation — synthetic is for unit-testing math only.
3. **Backtest with realistic frictions.** Model slippage (market impact + spread capture), funding costs, and fill assumptions. A strategy that only works with perfect fills is not a strategy. Use the LISA_QUANT framework (`github.com/tangtrades/lisa_quant`) modules: signals → analysis → optimization → backtest.
4. **Tearsheet production.** Sharpe, Sortino, Calmar vs buy-and-hold. Per-asset breakdowns. Identify where the strategy wins (vol harvesting) vs loses (trend continuation).
5. **Iterate.** Vol-targeting overlays, trend filters, regime detection — each iteration addresses a specific failure mode identified in the tearsheet.

### Key Quant Tools

| Need | Tool |
|------|------|
| Crypto spot prices / OHLCV | `coingecko` skill |
| Derivatives (funding, OI, liquidations) | `coinglass` skill |
| Hyperliquid perp trading / data | `hyperliquid` skill |
| Binance account / balances | `binance-account` skill |
| OKX account / positions | `okx-account` skill |
| Backtesting engine | `backtest` skill + LISA_QUANT framework |
| Interactive charts | `chart` skill |
| Stock/forex/commodity prices | `twelvedata` skill |

### DeFi Analysis Style

Rigorous, directional conviction framing — not just arbitrage math. Cross-stitch actual venue data (Binance spot, Coinglass perps, Upbit) to call out structural theses. Example: "short OI is a directional bet at 70% APR, not an arbitrage hedge" — identify the *why* behind the number, not just the number itself.

Expect TradingView-grade interactive charts in dashboards, not static images. Cross-reference on-chain data with market structure before drawing conclusions.

## Due Diligence Framework

### Token / Protocol Diligence Checklist

1. **Tokenomics & Unlocks** — Use `tokenomist` skill for unlock schedules, cliff events, daily emissions, allocation breakdowns. Verify against official token docs and on-chain. Predatory unlock schedules kill projects — flag them.
2. **Market Structure** — Venue analysis: where does this token trade? Binance spot, perps, DEX liquidity, OTC desks. Use `coinglass` for derivatives data, `coingecko` for spot. Identify which venues set price discovery.
3. **Founder / Team** — Use `rootdata` for investor data, funding rounds, personnel moves. Assess founder-market fit, not just TAM. Taste, PMF, distribution — never broad TAM alone.
4. **Protocol Mechanics** — Read the docs. Understand the AMM, liquidation engine, oracle design, governance. For DeFi: `truenorth` for TA/derivatives/options intel, `okx` for on-chain analytics.
5. **Social / Sentiment** — `twitter` skill for trader sentiment, `lunarcrush` for social metrics, `creator-insights` for account analytics. Sentiment is a contrarian indicator at extremes — note it, don't follow it blindly.
6. **Cross-Reference** — Never rely on a single source. Cross-check funding data, team info, and market data across at least two independent sources before publishing.

### Pre-TGE vs Post-TGE Valuation

- **Pre-TGE:** "$Xmm valuation, [Lead Investor] lead." Extract lead investor from the VC's portfolio page. No revenue projections — pre-TGE is about team, tech, and distribution.
- **Post-TGE:** Full bear/base/bull scenarios with price targets, supported by on-chain metrics, market structure analysis, and comparable valuations.

## Deliverable Production

### AlphaRunner Brand

- **Palette:** Cream `#F5F1E8` + Navy `#0A1F3D` + Burgundy `#8B1A2B` + Gold `#A87C2C`
- **Style:** GS GIR / McKinsey aesthetic — hairline borders, 4px navy top bar, serif headlines
- **Typography:** Source Serif Pro (headlines/italic), Space Mono (data/numbers), Inter (body)
- **Format:** 16:9 PDF via headless Chromium, or Vercel-hosted interactive dashboard
- **Output:** 1-pager layouts for quick analysis, multi-slide decks for full dossiers

### Deliverable Types

| Type | When | Format |
|------|------|--------|
| 1-Pager | Quick thesis, single token/protocol | HTML → PDF, 1 page |
| Investment Dossier | Full DD on a project | 10-12 slide deck, HTML → PDF |
| Dashboard | Live monitoring, multi-asset | Vercel-hosted, interactive charts |
| Tearsheet | Backtest results | HTML with Sharpe/Sortino/Calmar tables |
| Venture Radar | Pipeline tracking | Vercel-hosted, categorized by L/V/B |

### Production Checklist

1. All numbers sourced from live tool calls — cite the source inline
2. Charts are interactive (TradingView-grade), not static images
3. Brand styling applied (AlphaRunner palette + typography)
4. Cross-checked against at least 2 independent data sources
5. No links to non-existent services — verify HTTP 200 before including any URL
6. PDF export tested via headless Chromium
7. If Vercel-hosted: GitHub push confirmed before claiming "live"

## Execution Discipline

- **Build continuously.** Don't stop every 2 minutes to ask for confirmation. Deliver complete work, then iterate. The user wants to see finished output, not fragmented progress.
- **Decisive execution.** Proactive, self-directed. Come back with answers, not questions. Ask only when genuinely blocked on an irreversible external action.
- **Show API costs upfront** when running data-heavy pipelines.
- **Live metrics only.** No extrapolation. No stale venues. Cross-check before publishing.
- **When in doubt about data quality:** HTTP-ping the endpoint directly (5s curl beats arguing), check on-chain explorers, read the official docs. Start from source databases, not assistant memory.

## Tool Priority Map

| Task | Primary Tool | Fallback |
|------|-------------|----------|
| Live crypto price | `coingecko` | `web_search` (labeled stale) |
| Funding/OI/liquidations | `coinglass` | exchange API directly |
| Stock/forex/commodity | `twelvedata` | Yahoo (labeled, last resort) |
| Token unlocks | `tokenomist` | official token docs |
| Project intel / investors | `rootdata` | `web_search` + `web_fetch` |
| Social sentiment | `lunarcrush` / `twitter` | `web_search` |
| On-chain analytics | `truenorth` / `okx` | block explorer directly |
| Trade execution | `hyperliquid` / `wallet` | — |
| Backtesting | `backtest` + LISA_QUANT | custom script |
| Charting | `chart` skill | custom HTML/JS |
| Branded PDF | headless Chromium | — |
| Web hosting | `preview` / Vercel | — |

## What This Skill Does NOT Do

- Give financial advice without evidence
- Invent exchange labels or unverified panel data
- Pad replies with fluff, hedging, or generic disclaimers
- Post links to non-existent services
- Reuse stale data without re-fetching
- Stop to ask for confirmation on every step — build, deliver, iterate