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Functions188 in github.com/TreborNamor/TradingView-Machine-Learning-GUI

↓ 1 callersFunction_set_nested
Set a value in a nested dict, creating intermediate dicts as needed.
hyperview/config.py:165
↓ 1 callersMethod_setup_sessions
( self, ws: Any, credentials: TradingViewCredentials, chart_session: str,
hyperview/downloader/session.py:110
↓ 1 callersFunction_should_request_more
( request: CandleRequest, dataframe: pd.DataFrame, backfill_count: int, previous_oldest_time:
hyperview/downloader/session.py:264
↓ 1 callersMethod_stem
(self, request: CandleRequest)
hyperview/downloader/cache.py:55
↓ 1 callersFunction_validate_config
(config: dict[str, Any])
hyperview/config.py:194
↓ 1 callersFunction_validate_metrics
(value: Any, key: str)
hyperview/presets.py:194
↓ 1 callersFunction_validate_pairlist
(config: dict[str, Any])
hyperview/config.py:240
↓ 1 callersFunctionadx
Average Directional Index. Returns ``(ADX, +DI, -DI)``.
strategy/indicators.py:163
↓ 1 callersFunctionbuild_parser
()
hyperview/cli/__init__.py:12
↓ 1 callersFunctionconfigure_pycache
Redirect Python bytecode cache to a single project-level directory.
hyperview/runtime.py:8
↓ 1 callersMethodcovers_range
(self, frame: pd.DataFrame, request: CandleRequest)
hyperview/downloader/cache.py:32
↓ 1 callersMethodcreate
(cls, initial_equity: float)
hyperview/backtest/engine.py:97
↓ 1 callersMethoddefault_settings
(self)
strategy/adx_stochastic.py:27
↓ 1 callersMethoddefault_settings
(self)
strategy/macd_rsi.py:18
↓ 1 callersMethoddownload
(self)
hyperview/downloader/session.py:60
↓ 1 callersMethoddownload_pairs
Download candle data for multiple (symbol, exchange) pairs sequentially. Returns a dict keyed by ``"EXCHANGE:SYMBOL"`` with the candle DataFr
hyperview/downloader/client.py:48
↓ 1 callersFunctionestimate_bar_count
(timeframe: str, start: str | None, end: str | None)
hyperview/downloader/timeframes.py:63
↓ 1 callersFunctionfind_preset
( path: str | Path, *, strategy: str, pair: str, timeframe: str, session: str, adj
hyperview/presets.py:46
↓ 1 callersMethodgenerate_signals
Generate buy/sell signal columns on the candle DataFrame. The returned DataFrame **must** contain at least: - ``buy_signal`` (bool c
strategy/base.py:22
↓ 1 callersFunctionget_strategy
Look up a strategy by name and return an instance.
strategy/__init__.py:24
↓ 1 callersMethodlist_cached
List all cached datasets with their date ranges.
hyperview/downloader/client.py:79
↓ 1 callersFunctionload_config
Load configuration from JSON file(s), env-var overrides, then validate. Resolution order (last wins): 1. Built-in defaults 2. Primary
hyperview/config.py:58
↓ 1 callersFunctionmacd
MACD. Returns ``(macd_line, signal_line, histogram)``.
strategy/indicators.py:73
↓ 1 callersFunctionmain
()
hyperview/cli/__init__.py:92
↓ 1 callersFunctionmax_backfill_requests
(timeframe: str, start: str | None, end: str | None)
hyperview/downloader/timeframes.py:78
↓ 1 callersFunctionmerge_frames
(left: pd.DataFrame | None, right: pd.DataFrame)
hyperview/downloader/cache.py:97
↓ 1 callersFunctionnormalize_interval
(timeframe: str)
hyperview/downloader/timeframes.py:41
↓ 1 callersMethodobserve_equity
(self, curve_value: float)
hyperview/backtest/engine.py:130
↓ 1 callersFunctionprint_hyperopt_table
Print a rich-formatted table of top hyperopt results.
hyperview/cli/formatting.py:129
↓ 1 callersFunctionprint_summary_table
Print a rich-formatted summary table with a true PORTFOLIO aggregate row.
hyperview/cli/formatting.py:304
↓ 1 callersFunctionrequire_positive_number
( config: dict[str, Any], key: str, *, prefix: str = "", label: str = "Config value", )
hyperview/validators.py:77
↓ 1 callersFunctionresolve_credentials
()
hyperview/downloader/credentials.py:22
↓ 1 callersFunctionrsi
Relative Strength Index.
strategy/indicators.py:68
↓ 1 callersMethodrun
( self, signal_frame: pd.DataFrame | _CompiledSignalFrame, risk: RiskParameters,
hyperview/backtest/engine.py:161
↓ 1 callersFunctionrun_optimization
Top-level entry point for SL/TP optimization.
hyperview/hyperopt/optimizer.py:118
↓ 1 callersFunctionsave_best_preset
( path: str | Path, *, strategy: str, pair: str, timeframe: str, session: str, adj
hyperview/presets.py:74
↓ 1 callersFunctionstochastic
Stochastic Oscillator. Returns ``(%K, %D)``.
strategy/indicators.py:90
Method__init__
( self, signal_frame: pd.DataFrame, candle_request: CandleRequest, strategy: B
hyperview/hyperopt/optimizer.py:137
Method__init__
( self, pair_data: list[PairData], initial_equity: float = 100_000.0, )
hyperview/hyperopt/optimizer.py:191
Method__init__
(self, cache_dir: str | Path | None = None)
hyperview/downloader/client.py:16
Method__init__
(self, cache_dir: Path)
hyperview/downloader/cache.py:14
Method__init__
(self, request: CandleRequest)
hyperview/downloader/session.py:57
Method__init__
( self, candle_request: CandleRequest, initial_equity: float = 100_000.0, )
hyperview/backtest/engine.py:151
Method_dedup_key
(self, item: Any)
hyperview/hyperopt/optimizer.py:86
Method_dedup_key
(self, item: BacktestMetrics)
hyperview/hyperopt/optimizer.py:161
Method_dedup_key
(self, item: MultiPairCandidate)
hyperview/hyperopt/optimizer.py:218
Method_evaluate
(self, mode: Mode, sl_value: float, tp_value: float, objective: Objective)
hyperview/hyperopt/optimizer.py:151
Method_evaluate
(self, mode: Mode, sl_value: float, tp_value: float, objective: Objective)
hyperview/hyperopt/optimizer.py:207
Method_make_bundle
(self, request: OptimizationRequest, results: list[BacktestMetrics], output_path: Path)
hyperview/hyperopt/optimizer.py:164
Method_make_bundle
(self, request: OptimizationRequest, results: list[MultiPairCandidate], output_path: Path)
hyperview/hyperopt/optimizer.py:221
Functionad
Chaikin A/D Line via TA-Lib.
strategy/indicators.py:244
Functionaroon
Aroon indicator via TA-Lib. Returns (aroon_down, aroon_up).
strategy/indicators.py:178
Functionatr
Average True Range.
strategy/indicators.py:203
Functionbollinger_bands
Bollinger Bands. Returns ``(upper, middle, lower)``.
strategy/indicators.py:208
Methodcache_dir
(self)
hyperview/downloader/client.py:20
Functioncci
Commodity Channel Index (CCI) via TA-Lib.
strategy/indicators.py:127
Methoddefault_settings
Return a dict of this strategy's default hyper-parameters.
strategy/base.py:34
Functionema
Exponential Moving Average.
strategy/indicators.py:49
Methodgenerate_signals
(self, candles: pd.DataFrame, settings: dict[str, Any])
strategy/adx_stochastic.py:46
Methodgenerate_signals
(self, candles: pd.DataFrame, settings: dict[str, Any])
strategy/macd_rsi.py:36
Functionmfi
Money Flow Index (MFI) via TA-Lib.
strategy/indicators.py:232
Functionmomentum
Momentum (MOM) via TA-Lib.
strategy/indicators.py:149
Methodobjective
(trial: optuna.Trial)
hyperview/hyperopt/optimizer.py:98
Methodobjective_value
Return the sortable metric value for the given objective.
hyperview/models.py:174
Functionobv
On Balance Volume (OBV) via TA-Lib.
strategy/indicators.py:226
Functionpsar
Parabolic SAR via TA-Lib.
strategy/indicators.py:189
Functionregister_strategy
Class decorator that registers a strategy in the global registry.
strategy/__init__.py:15
Methodrequired_columns
(self)
strategy/adx_stochastic.py:43
Methodrequired_columns
Return the OHLCV column names this strategy needs.
strategy/base.py:38
Methodrequired_columns
(self)
strategy/macd_rsi.py:33
Functionresolve_config_path
Return the primary config path used for loading, if any.
hyperview/config.py:102
Functionroc
Rate of Change (ROC) via TA-Lib.
strategy/indicators.py:154
Functionrun_backtest
(args: argparse.Namespace, config: dict)
hyperview/cli/backtest.py:89
Functionrun_download_data
(args: argparse.Namespace, config: dict)
hyperview/cli/download.py:11
Functionrun_hyperopt
(args: argparse.Namespace, config: dict)
hyperview/cli/hyperopt.py:133
Functionrun_list_data
(args: argparse.Namespace, config: dict)
hyperview/cli/list.py:9
Functionrun_list_strategies
(args: argparse.Namespace, config: dict)
hyperview/cli/list.py:30
Functionrun_multi_optimization
Optimize SL/TP across all pairs simultaneously.
hyperview/hyperopt/optimizer.py:176
Functionsma
Simple Moving Average.
strategy/indicators.py:54
Functionstochastic_rsi
Stochastic RSI via TA-Lib. Returns (%K, %D).
strategy/indicators.py:109
Methodto_dict
(self)
hyperview/models.py:122
Methodto_dict
(self)
hyperview/models.py:132
Methodto_dict
(self)
hyperview/models.py:145
Methodto_dict
(self)
hyperview/models.py:180
Methodto_dict
(self)
hyperview/models.py:200
Functionvwap
Volume Weighted Average Price (cumulative intraday VWAP).
strategy/indicators.py:250
Functionwilliams_r
Williams %R via TA-Lib.
strategy/indicators.py:138
Functionwma
Weighted Moving Average.
strategy/indicators.py:59
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