📚 技術指標辞典 v0.1 — 42 entries + 12 canonical classes

v0.1 seed 辞書の全 42 entries を閲覧可能形式で。 category / canonical_class でフィルタ、 名前 (英・日・略称) で検索、 各 indicator の数式 + パラメータを確認。 canonical_class field は 数学的にアフィン変換 / カーネル形状を除いて同等の指標群を纏めるもので、 辞書の load-bearing observation。

v0.1 42 entries 7 categories 14 canonical classes generated 2026-06-07 Source data: honest-confluence-mt4/dictionary/seed.json (CC-BY-SA 4.0) ↗
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略称 正式名 (EN) 正式名 (JA) カテゴリ 正準クラス 数式 パラメータ Asset class
SMA Simple Moving Average 単純移動平均 Overlap Studies moving_average_kernel SMA(t) = (1/n) * Σ_{i=0..n-1} price[t-i] timeperiod=30 agnostic
EMA Exponential Moving Average 指数移動平均 Overlap Studies moving_average_kernel EMA(t) = α·price(t) + (1−α)·EMA(t−1), α = 2/(n+1) timeperiod=30 agnostic
DEMA Double Exponential Moving Average 二重指数移動平均 Overlap Studies moving_average_kernel DEMA = 2·EMA − EMA(EMA) timeperiod=30 agnostic
TEMA Triple Exponential Moving Average 三重指数移動平均 Overlap Studies moving_average_kernel TEMA = 3·EMA − 3·EMA(EMA) + EMA(EMA(EMA)) timeperiod=30 agnostic
WMA Weighted Moving Average 加重移動平均 Overlap Studies moving_average_kernel WMA(t) = Σ (n−i)·price[t−i] / Σ (n−i), i in [0, n−1] timeperiod=30 agnostic
TRIMA Triangular Moving Average 三角移動平均 Overlap Studies moving_average_kernel TRIMA = SMA(SMA(price, ⌈n/2⌉), ⌊n/2⌋+1) timeperiod=30 agnostic
KAMA Kaufman Adaptive Moving Average カウフマン適応移動平均 Overlap Studies moving_average_kernel KAMA(t) = KAMA(t−1) + SC·(price(t) − KAMA(t−1)), SC adapts to efficiency ratio timeperiod=30 agnostic
T3 Triple Exponential Moving Average (T3) 三重指数移動平均 (T3) Overlap Studies moving_average_kernel T3 = GD(GD(GD(price))), GD generalized DEMA with volume factor v timeperiod=5 vfactor=0.7 agnostic
BBANDS Bollinger Bands ボリンジャーバンド Overlap Studies moving_average_envelope Upper = SMA(n) + k·σ; Middle = SMA(n); Lower = SMA(n) − k·σ timeperiod=5 nbdevup=2 nbdevdn=2 agnostic
RSI Relative Strength Index 相対力指数 Momentum Indicators bounded_oscillator RSI = 100 − 100/(1+RS), RS = avgGain/avgLoss with Wilder smoothing α = 1/n timeperiod=14 agnostic
MACD Moving Average Convergence/Divergence 移動平均収束拡散 Momentum Indicators ema_difference MACD = EMA_fast − EMA_slow; Signal = EMA_signal(MACD); Hist = MACD − Signal fastperiod=12 slowperiod=26 signalperiod=9 agnostic
MACDEXT MACD with controllable MA type MA タイプ指定 MACD Momentum Indicators ema_difference Generalized MACD with MA_fast / MA_slow / MA_signal type parameters fastperiod=12 fastmatype=0 slowperiod=26 slowmatype=0 signalperiod=9 signalmatype=0 agnostic
MACDFIX Moving Average Convergence/Divergence Fix 12/26 MACD (12/26 固定) Momentum Indicators ema_difference MACD with fast=12, slow=26 hardcoded signalperiod=9 agnostic
ROC Rate of Change 変化率 Momentum Indicators rate_of_change ROC = (price / price[t−n] − 1) · 100 timeperiod=10 agnostic
ROCP Rate of Change Percentage 変化率 (パーセント) Momentum Indicators rate_of_change ROCP = (price / price[t−n]) − 1 timeperiod=10 agnostic
ROCR Rate of Change Ratio 変化率 (比) Momentum Indicators rate_of_change ROCR = price / price[t−n] timeperiod=10 agnostic
ROCR100 Rate of Change Ratio 100 scale 変化率 (比) 100 スケール Momentum Indicators rate_of_change ROCR100 = (price / price[t−n]) · 100 timeperiod=10 agnostic
MOM Momentum モメンタム Momentum Indicators price_difference MOM = price − price[t−n] timeperiod=10 agnostic
CMO Chande Momentum Oscillator チャンデ・モメンタム・オシレーター Momentum Indicators bounded_oscillator CMO = 100·(sumUp − sumDown)/(sumUp + sumDown) timeperiod=14 agnostic
TRIX 1-day Rate-Of-Change of a Triple Smooth EMA TRIX (三重平滑 EMA の変化率) Momentum Indicators rate_of_change TRIX = ROC(EMA(EMA(EMA(price)))) timeperiod=30 agnostic
APO Absolute Price Oscillator 絶対値プライス・オシレーター Momentum Indicators ema_difference APO = MA_fast(price) − MA_slow(price) fastperiod=12 slowperiod=26 matype=0 agnostic
PPO Percentage Price Oscillator パーセンテージ・プライス・オシレーター Momentum Indicators ema_difference PPO = 100·(MA_fast − MA_slow)/MA_slow fastperiod=12 slowperiod=26 matype=0 agnostic
STOCH Stochastic Oscillator ストキャスティクス Momentum Indicators range_position %K = 100·(C − L_n)/(H_n − L_n); %D = SMA(%K, m) fastk_period=5 slowk_period=3 slowd_period=3 agnostic
ADX Average Directional Movement Index 平均方向性指数 Momentum Indicators directional_strength ADX = Wilder-smoothed |+DI − −DI|/(+DI + −DI) timeperiod=14 agnostic
CCI Commodity Channel Index 商品チャネル指数 Momentum Indicators z_score_deviation CCI = (TP − SMA(TP, n))/(0.015·MeanDev), TP = (H+L+C)/3 timeperiod=14 agnostic
WILLR / %R Williams %R ウィリアムズ %R Momentum Indicators range_position %R = −100·(H_n − C)/(H_n − L_n) timeperiod=14 agnostic
OBV On Balance Volume オンバランス・ボリューム Volume Indicators cumulative_volume OBV(t) = OBV(t−1) ± volume(t) (sign by close direction) agnostic
AD Chaikin A/D Line チャイキン A/D ライン Volume Indicators cumulative_volume AD(t) = AD(t−1) + ((C − L) − (H − C))/(H − L) · volume agnostic
MFI Money Flow Index マネー・フロー・インデックス Volume Indicators bounded_oscillator MFI = 100 − 100/(1 + posMF/negMF), MF = TP·volume timeperiod=14 agnostic
ATR Average True Range 平均真の値幅 Volatility Indicators volatility_range ATR = Wilder-smoothed TR, TR = max(H−L, |H−C_prev|, |L−C_prev|) timeperiod=14 agnostic
NATR Normalized Average True Range 正規化 ATR Volatility Indicators volatility_range NATR = 100·ATR/close timeperiod=14 agnostic
TRANGE True Range 真の値幅 Volatility Indicators volatility_range TR = max(H−L, |H−C_prev|, |L−C_prev|) agnostic
STDDEV Standard Deviation 標準偏差 Volatility Indicators statistic σ = sqrt((1/n)·Σ (x_i − μ)²) timeperiod=5 nbdev=1 agnostic
AVGPRICE Average Price 平均価格 Price Transform ohlc_aggregation AVGPRICE = (O + H + L + C) / 4 agnostic
MEDPRICE Median Price 中央値価格 Price Transform ohlc_aggregation MEDPRICE = (H + L) / 2 agnostic
TYPPRICE Typical Price 典型価格 Price Transform ohlc_aggregation TYPPRICE = (H + L + C) / 3 agnostic
WCLPRICE Weighted Close Price 加重終値 Price Transform ohlc_aggregation WCLPRICE = (H + L + 2·C) / 4 agnostic
HT_TRENDLINE Hilbert Transform — Instantaneous Trendline ヒルベルト変換瞬間トレンドライン Cycle Indicators Hilbert-transform-based dominant cycle smoothed trendline agnostic
HT_SINE Hilbert Transform — SineWave ヒルベルト変換サインウェーブ Cycle Indicators sine, lead-sine pair extracted from dominant cycle phase agnostic
BETA Beta ベータ Statistic Functions statistic β = Cov(r_x, r_y)/Var(r_y) timeperiod=5 equity
CORREL Pearson's Correlation Coefficient ピアソン相関係数 Statistic Functions statistic ρ = Cov(x, y)/(σ_x·σ_y) timeperiod=30 agnostic
LINEARREG Linear Regression 線形回帰 Statistic Functions statistic End-of-window linear regression value timeperiod=14 agnostic

Honest scope

公開技術指標の documentation viewer です。 予測でも、 売買シグナルでも、 投資助言でもありません。 canonical_class の割当は curatorial judgment で形式定理ではなく、 counter-example は source repo への PR を歓迎します。

WIC deploy 時に本 page に build 込み。 最新版は GitHub source 参照。