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HTX technical indicator analysis engine — 51 indicators + 12 candlestick patterns + 5 BTC cycle indicators + automatic divergence detection, all computed locally in Python.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | htx/technical-analysis |
| version | 3.0.0 |
| description | HTX technical indicator analysis engine — 51 indicators + 12 candlestick patterns + 5 BTC cycle indicators + automatic divergence detection, all computed locally in Python. |
| auth | false |
| risk | low |
Local computation engine, no API key required. Pulls data from HTX kline endpoints and computes indicators / patterns / cycles locally with numpy/pandas.
Compliance disclaimer: this skill provides raw indicator values and does not embed any strategy recommendations or trading advice. All decisions are made by the user based on their own risk tolerance.
| Category | Count | File |
|---|---|---|
| Moving averages | 8 (ma, ema, wma, dema, tema, hma, kama, zlema) | scripts/indicators.py |
| Trend | 8 (macd, adx, aroon, cci, supertrend, sar, dpo, envelope) | same |
| Momentum | 10 (rsi, stoch-rsi, stoch, kdj, roc, mom, ppo, trix, wr, uo) | same |
| Volatility | 8 (bb, bbwidth, bbpct, atr, keltner, donchian, hv, stddev) | same |
| Volume | 6 (obv, vwap, mvwap, cmf, mfi, ad) | same |
| Statistics | 5 (lr, slope, angle, variance, sigma) | same |
| Other | 5 (fisher, tr, tp, mp, cho) + divergence | same |
| Candlestick patterns | 12 (doji / engulfing / harami / 3-soldiers / 3-crows ...) | scripts/patterns.py |
| BTC cycle | 5 (ahr999 / ahr999x / rainbow / pi-cycle / mayer) | scripts/cycle.py |
| Indicator total | 51 indicators + 12 patterns + 5 cycles = 68 |
# 1. Pull BTC/USDT 4-hour klines
htx-cli spot-market kline -p symbol=btcusdt -p period=4hour -p size=300 \
| jq '.data' > /tmp/btc4h.json
# 2. Compute RSI
python scripts/indicators.py rsi --kline /tmp/btc4h.json --params 14
# → {"rsi": 62.4, "ts": 1779000000000}
# 3. Compute MACD (default 12,26,9)
python scripts/indicators.py macd --kline /tmp/btc4h.json
# → {"dif": 320.1, "dea": 245.3, "macd": 149.6, "ts": ...}
# 4. Scan all candlestick patterns
python scripts/patterns.py scan --kline /tmp/btc4h.json
# → {"patterns": ["doji", "bull-engulf"], "ts": ...}
# 5. BTC cycle one-shot full run
python scripts/cycle.py all --kline /tmp/btc1d.json
python scripts/indicators.py list
# → ["ma", "ema", "rsi", "macd", "supertrend", ...]
See references/:
references/indicators.md — parameters / return fields / formulas for the 51 technical indicatorsreferences/patterns.md — judgment rules and typical scenarios for the 12 candlestick patternsreferences/cycle.md — formulas and interpretation ranges for the 5 BTC cycle indicatorsreferences/divergence.md — automatic divergence detection algorithm and usage notespython scripts/indicators.py divergence --kline /tmp/btc4h.json --params 14
# → {"divergence": "bull_reg", ...}
Return values:
bull_reg — price makes a new low, indicator does not (bottom reversal signal)bear_reg — price makes a new high, indicator does not (top reversal signal)bull_hid — price makes a higher low, indicator a lower low (pullback within uptrend)bear_hid — price makes a lower high, indicator a higher high (bounce within downtrend)All 5 indicators are based on price + time formulas; no on-chain data required:
| Indicator | Use | Interpretation |
|---|---|---|
ahr999 | DCA timing | <0.45 bottom-fish / 0.45-1.2 DCA / >1.2 top warning |
ahr999x | Pure cycle signal | Ratio vs fitted curve |
rainbow | 9-band rainbow valuation | "Fire Sale" → "Maximum Bubble" |
pi-cycle | Cycle-top warning | 111d MA crosses above 350d MA × 2 = historical top |
mayer | Long-term valuation | <1 undervalued / >2.4 historical bubble |
| Indicator type | Min klines |
|---|---|
| Short-period (RSI 14, MACD 26, ATR 14) | 50 bars |
| Long-period (MA200, KAMA) | 200+ bars |
| BTC cycle (Pi Cycle 350d, Mayer 200d) | 350+ daily klines |
| Divergence detection | 50+ bars |
"How does BTC 4H look technically?"
htx-cli spot-market kline -p symbol=btcusdt -p period=4hour -p size=200 | jq '.data' > btc.json
python scripts/indicators.py rsi --kline btc.json
python scripts/indicators.py macd --kline btc.json
python scripts/indicators.py supertrend --kline btc.json
python scripts/patterns.py scan --kline btc.json
python scripts/indicators.py divergence --kline btc.json
# AI synthesizes all outputs to make a judgment
"Is ETH overbought?"
python scripts/indicators.py rsi --kline eth4h.json
# rsi > 70 means overbought
"BTC long-term valuation right now"
htx-cli spot-market kline -p symbol=btcusdt -p period=1day -p size=400 | jq '.data' > btc1d.json
python scripts/cycle.py all --kline btc1d.json
htx/spot-market or htx/futures-market for klineshtx/ta-master as the "price/volume" pillarcurl -fsSL https://github.com/htx-exchange/htx-skills-hub/releases/latest/download/install.sh | bash -s -- technical-analysis
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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.