NFIRefactorStrategy
♡
Basics
mode: spot
Settings
dca
Concepts
dca
Methods
_handle_grind_mode
_handle_scalp_mode
_handle_top_coins_mode
_remove_profit_target
_set_profit_target
_should_hold_trade
adjust_trade_position
base_tf_5m_indicators
btc_info_15m_indicators
btc_info_1d_indicators
btc_info_1h_indicators
btc_info_4h_indicators
btc_info_5m_indicators
btc_info_switcher
calc_total_profit
confirm_trade_entry
confirm_trade_exit
correct_min_stake
custom_exit
custom_stake_amount
exit_profit_target
get_hold_trades_config_file
get_ticker_indicator
has_valid_entry_conditions
info_switcher
informative_15m_indicators
informative_1d_indicators
informative_1h_indicators
informative_4h_indicators
is_backtest_mode
is_system_v3
is_system_v3_1
is_system_v3_2
leverage
load_hold_trades_config
long_buyback_entry_v2
long_buyback_entry_v3
long_buyback_exit_v2
long_exit_btc
long_exit_dec
long_exit_grind
long_exit_high_profit
long_exit_main
long_exit_normal
long_exit_pump
long_exit_quick
long_exit_rapid
long_exit_rebuy
long_exit_scalp
long_exit_signals
long_exit_stoploss
long_exit_top_coins
long_exit_williams_r
long_grind_entry
long_grind_entry_v2
long_grind_entry_v3
long_grind_exit_v2
long_rebuy_adjust_trade_position
long_rebuy_adjust_trade_position_v3
long_rebuy_entry_v3
mark_profit_target
order_filled
short_buyback_entry_v2
short_buyback_exit_v2
short_exit_dec
short_exit_grind
short_exit_high_profit
short_exit_main
short_exit_normal
short_exit_pump
short_exit_quick
short_exit_rapid
short_exit_rebuy
short_exit_scalp
short_exit_signals
short_exit_stoploss
short_exit_top_coins
short_exit_williams_r
short_grind_entry
short_grind_entry_v2
short_grind_entry_v3
short_grind_exit_v2
short_rebuy_adjust_trade_position
short_rebuy_adjust_trade_position_v3
short_rebuy_entry_v3
update_signals_from_config
version
Other
NostalgiaForInfinityX7
nfi_refactor
15 related strategies (⧉ identical code, ≈ similar name)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 | from NostalgiaForInfinityX7 import NostalgiaForInfinityX7 from nfi_refactor.entries import confirm_entry from nfi_refactor.entries import trend as entry_trend from nfi_refactor.exits import confirm_exit from nfi_refactor.exits import custom_exit as custom_exit_module from nfi_refactor.exits import dec as exit_dec from nfi_refactor.exits import main as exit_main from nfi_refactor.exits import mode_advanced as exit_mode_advanced from nfi_refactor.exits import mode_scalp as exit_mode_scalp from nfi_refactor.exits import mode_simple as exit_mode_simple from nfi_refactor.exits import mode_top_coins as exit_mode_top_coins from nfi_refactor.exits import profit_target as profit_target_module from nfi_refactor.exits import signals as exit_signals from nfi_refactor.exits import stoploss as exit_stoploss from nfi_refactor.exits import trend as exit_trend from nfi_refactor.exits import williams as exit_williams from nfi_refactor.indicators import base_timeframe from nfi_refactor.indicators import pipeline from nfi_refactor.indicators.btc_informative import btc_info_indicators, btc_info_switcher from nfi_refactor.indicators import pair_informative from nfi_refactor.market_context.informative_pairs import build_informative_pairs from nfi_refactor.position import adjustment as adjustment_module from nfi_refactor.position import adjustment_helpers from nfi_refactor.position import leverage as leverage_module from nfi_refactor.position import order_events from nfi_refactor.position import profit as profit_module from nfi_refactor.position import rebuy_adjustment from nfi_refactor.position import stake as stake_module from nfi_refactor.state import hold_trades from nfi_refactor.state import initialization from nfi_refactor.state import runtime as runtime_state class NFIRefactorStrategy(NostalgiaForInfinityX7): """ Parity adapter for the NFI modular refactor. This first version intentionally inherits the original strategy behavior. We will move logic into modules step by step, with backtest parity checks after each extraction. """ def __init__(self, config: dict) -> None: initialization.initialize_strategy(self, config) def version(self) -> str: return "nfi-refactor-parity-adapter-upstream-v17.4.43-0.2.0" def informative_pairs(self): return build_informative_pairs( pairs=self.dp.current_whitelist(), config=self.config, info_timeframes=self.info_timeframes, btc_info_timeframes=self.btc_info_timeframes, ) def btc_info_1d_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict): return btc_info_indicators(self, btc_info_pair, btc_info_timeframe, metadata) def btc_info_4h_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict): return btc_info_indicators(self, btc_info_pair, btc_info_timeframe, metadata) def btc_info_1h_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict): return btc_info_indicators(self, btc_info_pair, btc_info_timeframe, metadata) def btc_info_15m_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict): return btc_info_indicators(self, btc_info_pair, btc_info_timeframe, metadata) def btc_info_5m_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict): return btc_info_indicators(self, btc_info_pair, btc_info_timeframe, metadata) def btc_info_switcher(self, btc_info_pair, btc_info_timeframe, metadata: dict): return btc_info_switcher(self, btc_info_pair, btc_info_timeframe, metadata) def informative_1d_indicators(self, metadata: dict, info_timeframe): return pair_informative.informative_1d_indicators(self, metadata, info_timeframe) def informative_4h_indicators(self, metadata: dict, info_timeframe): return pair_informative.informative_4h_indicators(self, metadata, info_timeframe) def informative_1h_indicators(self, metadata: dict, info_timeframe): return pair_informative.informative_1h_indicators(self, metadata, info_timeframe) def informative_15m_indicators(self, metadata: dict, info_timeframe): return pair_informative.informative_15m_indicators(self, metadata, info_timeframe) def info_switcher(self, metadata: dict, info_timeframe): return pair_informative.info_switcher(self, metadata, info_timeframe) def base_tf_5m_indicators(self, metadata: dict, df): return base_timeframe.base_tf_5m_indicators(self, metadata, df) def populate_indicators(self, df, metadata: dict): return pipeline.populate_indicators(self, df, metadata) def populate_entry_trend(self, df, metadata: dict): # Upstream X7 v17.4.15 -> v17.4.43 changed many entry protections. # Delegate this surface to the parent until those changes are re-split. return super().populate_entry_trend(df, metadata) def confirm_trade_entry( self, pair: str, order_type: str, amount: float, rate: float, time_in_force: str, current_time, entry_tag, side: str, **kwargs, ) -> bool: return confirm_entry.confirm_trade_entry( self, pair, order_type, amount, rate, time_in_force, current_time, entry_tag, side, **kwargs, ) def _handle_grind_mode(self, pair: str, config: dict, current_time) -> bool: return confirm_entry.handle_grind_mode(pair, config, current_time) def _handle_top_coins_mode(self, pair: str, config: dict, current_time) -> bool: return confirm_entry.handle_top_coins_mode(pair, config, current_time) def _handle_scalp_mode(self, pair: str, config: dict, current_time) -> bool: return confirm_entry.handle_scalp_mode(self, pair, config, current_time) def confirm_trade_exit( self, pair: str, trade, order_type: str, amount: float, rate: float, time_in_force: str, exit_reason: str, current_time, **kwargs, ) -> bool: return confirm_exit.confirm_trade_exit( self, pair, trade, order_type, amount, rate, time_in_force, exit_reason, current_time, **kwargs, ) def leverage( self, pair: str, current_time, current_rate: float, proposed_leverage: float, max_leverage: float, entry_tag, side: str, **kwargs, ) -> float: return leverage_module.leverage( self, pair, current_time, current_rate, proposed_leverage, max_leverage, entry_tag, side, **kwargs, ) def custom_stake_amount( self, pair: str, current_time, current_rate: float, proposed_stake: float, min_stake, max_stake: float, leverage: float, entry_tag, side: str, **kwargs, ) -> float: return stake_module.custom_stake_amount( self, pair, current_time, current_rate, proposed_stake, min_stake, max_stake, leverage, entry_tag, side, **kwargs, ) def correct_min_stake(self, min_stake: float) -> float: return stake_module.correct_min_stake(self, min_stake) def get_ticker_indicator(self): return runtime_state.get_ticker_indicator(self) def is_backtest_mode(self) -> bool: return runtime_state.is_backtest_mode(self) def is_system_v3(self, trade) -> bool: return runtime_state.is_system_v3(self, trade) def is_system_v3_1(self, trade) -> bool: return runtime_state.is_system_v3_1(self, trade) def is_system_v3_2(self, trade) -> bool: return runtime_state.is_system_v3_2(self, trade) def has_valid_entry_conditions(self, trade, exit_rate: float, last_candle, previous_candle) -> bool: return runtime_state.has_valid_entry_conditions( self, trade, exit_rate, last_candle, previous_candle ) def update_signals_from_config(self, config): return runtime_state.update_signals_from_config(self, config) def _set_profit_target( self, pair: str, sell_reason: str, rate: float, current_profit: float, current_time ): return runtime_state.set_profit_target( self, pair, sell_reason, rate, current_profit, current_time ) def _remove_profit_target(self, pair: str): return runtime_state.remove_profit_target(self, pair) def mark_profit_target( self, mode_name: str, pair: str, sell: bool, signal_name: str, trade, current_time, current_rate: float, current_profit: float, last_candle, previous_candle_1, ) -> tuple: return profit_target_module.mark_profit_target( self, mode_name, pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1, ) def exit_profit_target( self, mode_name: str, pair: str, trade, current_time, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) -> tuple: return profit_target_module.exit_profit_target( self, mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) def calc_total_profit(self, trade, filled_entries, filled_exits, exit_rate: float) -> tuple: return profit_module.calc_total_profit( self, trade, filled_entries, filled_exits, exit_rate ) def get_hold_trades_config_file(self): return hold_trades.get_hold_trades_config_file(self) def load_hold_trades_config(self): return hold_trades.load_hold_trades_config(self) def _should_hold_trade(self, trade, rate: float, sell_reason: str) -> bool: return hold_trades.should_hold_trade(self, trade, rate, sell_reason) def bot_loop_start(self, current_time, **kwargs) -> None: return initialization.bot_loop_start(self, current_time, **kwargs) def custom_exit( self, pair: str, trade, current_time, current_rate: float, current_profit: float, **kwargs, ): return custom_exit_module.custom_exit( self, pair, trade, current_time, current_rate, current_profit, **kwargs, ) def populate_exit_trend(self, df, metadata: dict): return exit_trend.populate_exit_trend(self, df, metadata) def long_exit_grind(self, *args, **kwargs): return exit_mode_simple.long_exit_grind(self, *args, **kwargs) def long_exit_btc(self, *args, **kwargs): return exit_mode_simple.long_exit_btc(self, *args, **kwargs) def short_exit_grind(self, *args, **kwargs): return exit_mode_simple.short_exit_grind(self, *args, **kwargs) def long_exit_signals(self, *args, **kwargs): return exit_signals.long_exit_signals(self, *args, **kwargs) def short_exit_signals(self, *args, **kwargs): return exit_signals.short_exit_signals(self, *args, **kwargs) def long_exit_main(self, *args, **kwargs): return exit_main.long_exit_main(self, *args, **kwargs) def short_exit_main(self, *args, **kwargs): return exit_main.short_exit_main(self, *args, **kwargs) def long_exit_stoploss(self, *args, **kwargs): return exit_stoploss.long_exit_stoploss(self, *args, **kwargs) def short_exit_stoploss(self, *args, **kwargs): return exit_stoploss.short_exit_stoploss(self, *args, **kwargs) def long_exit_top_coins(self, *args, **kwargs): return exit_mode_top_coins.long_exit_top_coins(self, *args, **kwargs) def short_exit_top_coins(self, *args, **kwargs): return exit_mode_top_coins.short_exit_top_coins(self, *args, **kwargs) def long_exit_scalp(self, *args, **kwargs): return exit_mode_scalp.long_exit_scalp(self, *args, **kwargs) def short_exit_scalp(self, *args, **kwargs): return exit_mode_scalp.short_exit_scalp(self, *args, **kwargs) def long_exit_williams_r(self, *args, **kwargs): return exit_williams.long_exit_williams_r(self, *args, **kwargs) def short_exit_williams_r(self, *args, **kwargs): return exit_williams.short_exit_williams_r(self, *args, **kwargs) def long_exit_dec(self, *args, **kwargs): return exit_dec.long_exit_dec(self, *args, **kwargs) def short_exit_dec(self, *args, **kwargs): return exit_dec.short_exit_dec(self, *args, **kwargs) def long_exit_high_profit(self, *args, **kwargs): return exit_mode_advanced.long_exit_high_profit(self, *args, **kwargs) def short_exit_high_profit(self, *args, **kwargs): return exit_mode_advanced.short_exit_high_profit(self, *args, **kwargs) def long_exit_normal(self, *args, **kwargs): return exit_mode_advanced.long_exit_normal(self, *args, **kwargs) def short_exit_normal(self, *args, **kwargs): return exit_mode_advanced.short_exit_normal(self, *args, **kwargs) def long_exit_pump(self, *args, **kwargs): return exit_mode_advanced.long_exit_pump(self, *args, **kwargs) def short_exit_pump(self, *args, **kwargs): return exit_mode_advanced.short_exit_pump(self, *args, **kwargs) def long_exit_quick(self, *args, **kwargs): return exit_mode_advanced.long_exit_quick(self, *args, **kwargs) def short_exit_quick(self, *args, **kwargs): return exit_mode_advanced.short_exit_quick(self, *args, **kwargs) def long_exit_rapid(self, *args, **kwargs): return exit_mode_advanced.long_exit_rapid(self, *args, **kwargs) def short_exit_rapid(self, *args, **kwargs): return exit_mode_advanced.short_exit_rapid(self, *args, **kwargs) def long_exit_rebuy(self, *args, **kwargs): return super().long_exit_rebuy(*args, **kwargs) def short_exit_rebuy(self, *args, **kwargs): return exit_mode_advanced.short_exit_rebuy(self, *args, **kwargs) def order_filled(self, pair: str, trade, order, current_time, **kwargs) -> None: return order_events.order_filled(self, pair, trade, order, current_time, **kwargs) def adjust_trade_position( self, trade, current_time, current_rate: float, current_profit: float, min_stake, max_stake: float, current_entry_rate: float, current_exit_rate: float, current_entry_profit: float, current_exit_profit: float, **kwargs, ): # Upstream changed v3 rebuy/grind de-risk routing; keep parity first. return super().adjust_trade_position( trade, current_time, current_rate, current_profit, min_stake, max_stake, current_entry_rate, current_exit_rate, current_entry_profit, current_exit_profit, **kwargs, ) def long_rebuy_adjust_trade_position(self, *args, **kwargs): return rebuy_adjustment.long_rebuy_adjust_trade_position(self, *args, **kwargs) def long_rebuy_adjust_trade_position_v3(self, *args, **kwargs): return super().long_rebuy_adjust_trade_position_v3(*args, **kwargs) def short_rebuy_adjust_trade_position(self, *args, **kwargs): return rebuy_adjustment.short_rebuy_adjust_trade_position(self, *args, **kwargs) def short_rebuy_adjust_trade_position_v3(self, *args, **kwargs): return super().short_rebuy_adjust_trade_position_v3(*args, **kwargs) def long_buyback_entry_v2(self, *args, **kwargs): return adjustment_helpers.long_buyback_entry_v2(self, *args, **kwargs) def long_grind_entry_v2(self, *args, **kwargs): return adjustment_helpers.long_grind_entry_v2(self, *args, **kwargs) def long_buyback_exit_v2(self, *args, **kwargs): return adjustment_helpers.long_buyback_exit_v2(self, *args, **kwargs) def long_grind_exit_v2(self, *args, **kwargs): return adjustment_helpers.long_grind_exit_v2(self, *args, **kwargs) def long_grind_entry_v3(self, *args, **kwargs): return super().long_grind_entry_v3(*args, **kwargs) def long_buyback_entry_v3(self, *args, **kwargs): return adjustment_helpers.long_buyback_entry_v3(self, *args, **kwargs) def long_rebuy_entry_v3(self, *args, **kwargs): return adjustment_helpers.long_rebuy_entry_v3(self, *args, **kwargs) def long_grind_entry(self, *args, **kwargs): return adjustment_helpers.long_grind_entry(self, *args, **kwargs) def short_buyback_entry_v2(self, *args, **kwargs): return adjustment_helpers.short_buyback_entry_v2(self, *args, **kwargs) def short_grind_entry_v2(self, *args, **kwargs): return adjustment_helpers.short_grind_entry_v2(self, *args, **kwargs) def short_buyback_exit_v2(self, *args, **kwargs): return adjustment_helpers.short_buyback_exit_v2(self, *args, **kwargs) def short_grind_exit_v2(self, *args, **kwargs): return adjustment_helpers.short_grind_exit_v2(self, *args, **kwargs) def short_grind_entry_v3(self, *args, **kwargs): return super().short_grind_entry_v3(*args, **kwargs) def short_rebuy_entry_v3(self, *args, **kwargs): return adjustment_helpers.short_rebuy_entry_v3(self, *args, **kwargs) def short_grind_entry(self, *args, **kwargs): return adjustment_helpers.short_grind_entry(self, *args, **kwargs) |
Strategy League — fixed backtest that feeds the ranking
Failed — strategy imports unavailable module: NostalgiaForInfinityX7
026-07-28 06:18:08,368 - freqtrade.configuration.configuration - INFO - Using data directory: /freqle/user_data/data/binance ... 2026-07-28 06:18:08,369 - freqtrade.configuration.configuration - INFO - Parameter --export detected: none ... 2026-07-28 06:18:08,369 - freqtrade.configuration.configuration - INFO - Parameter --cache=none detected ... 2026-07-28 06:18:08,370 - freqtrade.configuration.configuration - INFO - Filter trades by timerange: 20210101-20260101 2026-07-28 06:18:08,370 - freqtrade.exchange.check_exchange - INFO - Checking exchange... 2026-07-28 06:18:08,377 - freqtrade.exchange.check_exchange - INFO - Exchange "binance" is officially supported by the Freqtrade development team. 2026-07-28 06:18:08,377 - freqtrade.configuration.configuration - INFO - Using pairlist from configuration. 2026-07-28 06:18:08,378 - freqtrade.configuration.config_validation - INFO - Validating configuration ... 2026-07-28 06:18:08,381 - freqtrade.exchange.exchange - INFO - Instance is running with dry_run enabled 2026-07-28 06:18:08,381 - freqtrade.exchange.exchange - INFO - Using CCXT 4.5.61 2026-07-28 06:18:08,393 - freqtrade.exchange.exchange - INFO - Using Exchange "Binance" 2026-07-28 06:18:08,577 - freqtrade.resolvers.exchange_resolver - INFO - Using resolved exchange 'Binance'... 2026-07-28 06:18:08,581 - freqtrade.resolvers.iresolver - WARNING - Could not import /freqle/user_data/strategies/NFIRefactorStrategy.py due to 'No module named 'NostalgiaForInfinityX7'' 2026-07-28 06:18:08,585 - freqtrade.resolvers.iresolver - WARNING - Could not import /freqle/user_data/strategies/NFIRefactorStrategy.py due to 'No module named 'NostalgiaForInfinityX7'' 2026-07-28 06:18:08,588 - freqtrade.resolvers.iresolver - WARNING - Could not import /freqle/user_data/strategies/NFIRefactorStrategy.py due to 'No module named 'NostalgiaForInfinityX7'' ft_backtest wrapper failed: Impossible to load Strategy 'NFIRefactorStrategy'. This class does not exist or contains Python code errors.
Backtests — over a market period
Backtest this strategy over a chosen crypto-cycle period. These don't affect the League ranking, and need that period's candle data downloaded.
Log in or sign up to run backtests.
| Period | Range | Total % | Win % | Max DD | Trades | |
|---|---|---|---|---|---|---|
| 2020 · DeFi Summer & Pre-Halving Rally | 20200101-20210101 | not run | ||||
| 2021 · Institutional Bull Market | 20210101-20220101 | not run | ||||
| 2022 · Post-Bull Crash & Macro Tightening | 20220101-20230101 | not run | ||||
| 2023–2024 · Recovery & ETF Anticipation | 20230101-20250101 | not run | ||||
| 2025–2026 · Current Cycle | 20250101-20260101 | not run | ||||
Walk forward
Out-of-sample backtest on recent data · 33 pairs · 20260101-20260701.
Backtest trust check
no lookahead-bias patterns detected
ran by Ron · took s
Lookahead analysis
freqtrade lookahead-analysis: detects strategies peeking at future candles.