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HTX technical analysis master — three-pillar weighted scoring (price/volume 50% + derivatives 30% + BTC cycle 20%) yielding a 0-100 composite score with detailed interpretation.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Multi-signal pressure analysis on HTX USDT-M perpetuals — combines funding rate, OI, elite long/short ratio, recent liquidations, and basis into a unified pressure score with squeeze-risk verdict. Public, no API key required.
Top-trader long/short ratio on HTX USDT-M perpetuals — both account-based and position-based ratios, the core sentiment signal that distinguishes "smart money" from retail. Public, no API key.
HTX USDT-M perpetual funding rate — current / market-wide batch / history / estimated next-period klines.
HTX USDT-M perpetual futures account — balance / positions / leverage tiers / adjustment factors / unified account type switching.
HTX USDT-M perpetual futures core market data — contract info / klines / ticker / order book / index price / system status.
HTX USDT-M perpetual futures order management — open / close / TP/SL / trigger orders / modify / cancel.
| name | htx/ta-master |
| version | 1.0.0 |
| description | HTX technical analysis master — three-pillar weighted scoring (price/volume 50% + derivatives 30% + BTC cycle 20%) yielding a 0-100 composite score with detailed interpretation. |
| auth | false |
| risk | low |
Layer 2 orchestration skill, no API key required. Composes 6 L1 skills into a three-pillar score and provides a 0-100 composite read.
Compliance disclaimer: the score is a mechanical algorithmic output and does not constitute investment advice. Markets carry risk; all decisions are made by the user.
| Pillar | Weight | Data source | Output |
|---|---|---|---|
| Price/Volume | 50% | htx/technical-analysis (51 indicators + 12 patterns + divergences) | 0-100 sub-score |
| Derivatives | 30% | funding-rate / oi-tracker / liquidation-stream / elite-positioning / mark-price | 0-100 sub-score |
| BTC cycle | 20% | htx/technical-analysis cycle.py (BTC-USDT only) | 0-100 sub-score |
For non-BTC assets the weights are auto-redistributed to price/volume 62.5% + derivatives 37.5%.
| Composite score | Label |
|---|---|
| ≥ 70 | STRONG BULLISH |
| 55-70 | MILD BULLISH |
| 45-55 | NEUTRAL |
| 30-45 | MILD BEARISH |
| < 30 | STRONG BEARISH |
# 1. Pull daily klines (cycle pillar needs 350+ daily klines)
htx-cli spot-market kline -p symbol=btcusdt -p period=1day -p size=400 | jq '.data' > /tmp/btc1d.json
htx-cli spot-market kline -p symbol=btcusdt -p period=4hour -p size=300 | jq '.data' > /tmp/btc4h.json
# 2. Compute price/volume features → pv.json
python -c "
import json
import indicators, patterns
df = indicators._df(json.load(open('/tmp/btc4h.json')))
out = {
'rsi': indicators.rsi(df)['rsi'].iloc[-1],
'macd_hist': indicators.macd(df)['macd'].iloc[-1],
'ema_fast': indicators.ema(df, periods=(20,))['ema20'].iloc[-1],
'ema_slow': indicators.ema(df, periods=(60,))['ema60'].iloc[-1],
'adx': indicators.adx(df)['adx'].iloc[-1],
'divergence': str(indicators.divergence(df)['divergence'].iloc[-1]),
'patterns_bullish_count': sum(1 for p in patterns.scan(df) if p.startswith('bull') or p in ('three-soldiers','inverted-hammer')),
'patterns_bearish_count': sum(1 for p in patterns.scan(df) if p.startswith('bear') or p in ('three-crows','shooting-star','hanging-man')),
}
json.dump(out, open('/tmp/pv.json', 'w'))
"
# 3. Pull derivatives → deriv.json
htx-cli funding-rate current -p contract_code=BTC-USDT --json > /tmp/fr.json
htx-cli oi-tracker history -p contract_code=BTC-USDT -p period=60min -p size=24 --json > /tmp/oi.json
htx-cli liquidation-stream recent -p contract=BTC-USDT --json > /tmp/liq.json
htx-cli elite-positioning ratio -p contract_code=BTC-USDT --json > /tmp/elite.json
htx-cli mark-price basis -p contract_code=BTC-USDT --json > /tmp/basis.json
# Then aggregate into deriv.json (see references/derivatives-features.md)
# 4. Compute cycle pillar → cycle.json (BTC only)
python scripts/cycle.py all --kline /tmp/btc1d.json > /tmp/cycle_raw.json
# Extract key fields into cycle.json: ahr999 / mayer / pi_cycle_signal / rainbow_band
# 5. Three-pillar combined score
python scripts/scoring.py --pricevol /tmp/pv.json --derivatives /tmp/deriv.json --cycle /tmp/cycle.json
python scripts/scoring.py --pricevol pv.json --derivatives deriv.json
Example output (BTC full three-pillar):
{
"composite": {
"composite": 62.4,
"label": "MILD BULLISH",
"weights": {"pv": 0.5, "deriv": 0.3, "cycle": 0.2}
},
"pillars": {
"price_volume": {
"score": 65.0,
"notes": ["RSI 58.3 bullish", "MACD hist > 0", "EMA fast > slow (uptrend)"]
},
"derivatives": {
"score": 55.0,
"notes": ["Funding 0.012% — bullish bias", "Elite L/S 1.18 — leaning long"]
},
"cycle": {
"score": 70.0,
"notes": ["AHR999 1.05 — DCA zone", "Mayer 1.32 — fair", "Rainbow: HODL!"]
}
}
}
See scripts/scoring.py for the source. Each pillar lists its contributing items and notes.
| Signal | Add / subtract |
|---|---|
| RSI > 70 (overbought) | -10 |
| RSI > 55 (bullish-leaning) | +5 |
| RSI < 30 (oversold) | +10 |
| RSI < 45 (bearish-leaning) | -5 |
| MACD hist > 0 / < 0 | ±7 |
| EMA fast above / below slow | ±8 |
| ADX > 25 | strong-trend amplifier (no direct score) |
Bullish regular divergence (bull_reg) | +12 |
Bearish regular divergence (bear_reg) | -12 |
| Bullish / bearish hidden divergence | ±6 |
| Each bullish pattern | +4 |
| Each bearish pattern | -4 |
| Signal | Add / subtract |
|---|---|
| Funding > 0.05% | -12 (longs overheated) |
| Funding < -0.05% | +12 (shorts overheated) |
| OI 24h +15% | -8 (squeeze risk) |
| OI 24h -10% | -6 (capital exiting) |
| Elite L/S > 1.5 | +10 (smart money long) |
| Elite L/S < 0.7 | -10 (smart money short) |
| 1h long-liquidation share > 80% | +8 (bottom signal) |
| 1h short-liquidation share > 80% | -8 (top signal) |
| Basis deviation ±0.5% | ±4 |
| Signal | Add / subtract |
|---|---|
| AHR999 < 0.45 | +20 (bottom-fishing zone) |
| AHR999 > 1.6 | -20 (bubble warning) |
| Pi Cycle TOP triggered | -25 WARNING |
| Mayer < 1 | +8 |
| Mayer > 2.4 | -12 |
| Rainbow in Fire Sale / BUY / Accumulate | +10 |
| Rainbow in FOMO / Sell / Bubble | -10 |
ta-master does not cover the following indicators (HTX provides no native endpoint; paid data sources are required):
| Gap | Source |
|---|---|
| MVRV / NUPL / SOPR | Glassnode (on-chain) |
| Hash Ribbon / miner hashrate | Mempool.space |
| LTH/STH supply | Glassnode |
| All-account long/short ratio (retail breakdown) | HTX only provides the elite breakdown |
| Taker active buy/sell volume | Not provided by HTX |
| Liquidation heatmap density | We aggregate from the local liquidation order stream; density is lower than Coinglass |
Future option: integrate via --external-source glassnode etc.
Before installing this skill, ensure the following are installed:
htx/spot-market (kline source)htx/futures-market (kline source)htx/technical-analysis (indicator computation engine)htx/funding-ratehtx/oi-trackerhtx/liquidation-streamhtx/elite-positioninghtx/mark-pricecurl -fsSL https://github.com/htx-exchange/htx-skills-hub/releases/latest/download/install.sh | bash -s -- ta-master