iUdZddlmZddlmZddlZddlmZiddddd dd dd dd dd dddddddddddddddddddddZ de d< d ddZ y)u H1 market structure detection — port fedele da V15. Classifies the H1 frame into BULLISH_EXPANSION / BEARISH_EXPANSION / RANGING using: - HH/LL detection on last 7 bars vs 5 prior, with ATR-scaled threshold - HH/HL counts on last 6 bars (h1_struct_bull / h1_struct_bear flags) - bullish/bearish close on the latest bar to disambiguate HH+LL ties The asset-specific multiplier (STRUCT_THRESHOLDS) widens the band for indices and metals (deeper swings) and tightens it for FX (smaller). ) annotations)AnyN)calc_atrMESg?MNQMYMESNQYMRTYMGCg?GCMCLCL6E333333?6B6A6J6Cdefaultzdict[str, float]STRUCT_THRESHOLDSc 8|xst}t}|jd}|j||jdd}||z}t djddjd}djddj } || |zkD} t djddjd} djddj } | | |z k} | r,| r*djdd jdkDrd nd }n | rd }n| rd }nd }t fd tdddD}t fdtdddD}tddDcgc]}dj|c}tddDcgc]}dj|c}t fdtdtD}t fdtdtD}t fdtdtD}t fdtdtD}|dk\xr|dk\}|dk\xr|dk\}|t ||||t|dScc}wcc}w)ud Returns a dict with: market_structure: "BULLISH_EXPANSION" | "BEARISH_EXPANSION" | "RANGING" trend_maturity: max consecutive up/down H1 closes (last 5) h1_struct_bull: bool — HH+HL pattern on last 6 H1 bars h1_struct_bear: bool — LH+LL pattern on last 6 H1 bars atr_h1: current H1 ATR (used by upstream regime detection) Args: df1: H1 OHLCV DataFrame (>= 7 bars). symbol: instrument root for threshold lookup. struct_thresholds: override map; defaults to module-level STRUCT_THRESHOLDS. rrhighilowcloseopenBULLISH_EXPANSIONBEARISH_EXPANSIONRANGINGc3rK|].}dj|dj|dz kDrd0ywrNiloc.0idf1s 4/home/work/apex_v16/analysis/indicators/structure.py z(calc_market_structure..WsC w<  Q #g,"3"3AE": : 47ic3rK|].}dj|dj|dz krd0ywr$r&r(s r,r-z(calc_market_structure..[sC w<  Q #g,"3"3AE": : r.rc3@K|]}||dz kDsdywr%Nr)r*h1_highss r,r-z(calc_market_structure..b'W!xPQTUPU9V1Wr%c3@K|]}||dz kDsdywr1r2r)r*h1_lowss r,r-z(calc_market_structure..c%T WQQRU^8S1Tr6c3@K|]}||dz ksdywr1r2r3s r,r-z(calc_market_structure..dr5r6c3@K|]}||dz ksdywr1r2r8s r,r-z(calc_market_structure..er:r6)market_structuretrend_maturityh1_struct_bullh1_struct_bearatr_h1) rrr'getmaxminsumrangelenfloat)r+symbolstruct_thresholds thresholdsatr_h1_s atr_h1_curstr_mult struct_thrcurrent_or_prev_high past_highshhcurrent_or_prev_low past_lowsllstructh1_uph1_downr*hh_counthl_countlh_countll_countr@rAr4r9s` @@r,calc_market_structurer^(s&#7&7J}Hr"J~~fjnnY&EFHJ&Js6{//3S[5E5Eb5IJV!!"R(,,.J  Z 7 7Bc%joob13u:??23FGE 2&**,I y:5 5B b7|  $s6{'7'7';; $  $ $ R$ ER$G .32q\:F   #:H+0Q<8as5zq!8GWeAs8}5WWHTeAs7|4TTHWeAs8}5WWHTeAs7|4TTH!m5A N!m5A N#w/**!*-  ;8s =J'J)N)r+z pd.DataFramerJstrrKzdict[str, float] | Nonereturnzdict[str, Any]) __doc__ __future__rtypingrpandaspdanalysis.indicators.atrrr__annotations__r^r2r,ris! #, ' 4 ' '#T ' 4 ' '#T ',1$ '  4 '  ' 4 ' ' 4 ' '#T ',0$ '9=t 't '# $26H H H/H Hrh