Nodies V2 — Bot AVAX

Bot AVAX

active · l1

ADN tactique

          macd 0.06
          volume_breakout 0.06
          btc_beta 0.00
          oi_divergence 0.00
          liquidation_cascade 0.00
          bollinger 0.53
          vwap 0.08
          trend_follow 0.27
      

params : tp_min_pct=2 · trail_arm_pct=2 · min_conviction=25 · sl_atr_multiplier=2 · trail_rearm_close_pct=2

Histoire (ADN narratif)

great_win 06-19 19:14

short fermé [tp_hit] pnl +5.0% (+97 USDT)

state_change 05-29 15:23

Fin de gestation → ACTIVE (paper trading)

birth 05-29 14:56

Naissance de Bot[AVAX] (l1) — gestation 3j — sous-stratégies: macd, volume_breakout, btc_beta, oi_divergence, liquidation_cascade

Historique des trades (19)

Sens	Entrée	Sortie	PnL%	PnL USDT	Raison	Quand
SHORT	6.1380	6.3429	-3.34%	-44.81	sl_hit	06-26 15:49
SHORT	6.3250	6.1350	3.00%	70.49	tp_hit	06-21 21:24
SHORT	6.0840	6.2936	-3.44%	-48.82	sl_hit	06-21 07:49
SHORT	6.2110	6.1930	0.29%	2.26	circuit_breaker	06-20 07:39
SHORT	5.9650	6.2110	-4.12%	-53.41	circuit_breaker	06-20 07:34
SHORT	5.7380	5.9583	-3.84%	-49.45	sl_hit	06-19 22:24
SHORT	6.0410	5.7380	5.02%	97.22	tp_hit	06-19 19:14
SHORT	6.3070	6.0410	4.22%	64.93	tp_hit	06-19 05:04
LONG	6.9870	6.8476	-2.00%	-49.45	sl_hit	06-15 22:29
SHORT	6.8180	6.9833	-2.42%	-49.40	sl_hit	06-15 13:24
SHORT	6.6680	6.8029	-2.02%	-50.61	sl_hit	06-15 10:59
SHORT	6.5780	6.6230	-0.68%	-19.61	circuit_breaker	06-14 21:34
SHORT	6.4580	6.5424	-1.31%	-52.16	sl_hit	06-14 21:24
SHORT	6.6110	6.5930	0.27%	2.94	tp_trail	06-11 17:34
SHORT	6.5310	6.4340	1.49%	23.93	tp_trail	06-11 00:24
SHORT	6.7360	6.9300	-2.88%	-56.56	circuit_breaker	06-07 22:19
SHORT	6.8670	6.7360	1.91%	38.07	tp_trail	06-07 17:19
SHORT	8.8850	8.9717	-0.98%	-54.16	sl_hit	05-31 23:04
LONG	9.0360	8.9679	-0.75%	-55.72	sl_hit	05-31 10:29

Mutations

Quand	Niv.	Paramètre	Ancien	Nouveau	Statut	Raison
06-29 05:00	L2	weights	"{\"macd\": 0.069, \"vwap\": 0.086, \"bollinger\": 0.47, \"trend_follow\": 0.305, \"volume_breakout\": 0.069}"	"{\"macd\": 0.061, \"volume_breakout\": 0.061, \"bollinger\": 0.528, \"vwap\": 0.075, \"trend_follow\": 0.274}"	applied	auto-fitness (virtual, α=0.15)
06-28 05:00	L2	weights	"{\"macd\": 0.079, \"vwap\": 0.097, \"bollinger\": 0.413, \"trend_follow\": 0.334, \"volume_breakout\": 0.079}"	"{\"macd\": 0.069, \"volume_breakout\": 0.069, \"bollinger\": 0.47, \"vwap\": 0.086, \"trend_follow\": 0.305}"	applied	auto-fitness (virtual, α=0.15)
06-27 05:00	L2	weights	"{\"macd\": 0.088, \"vwap\": 0.109, \"bollinger\": 0.355, \"trend_follow\": 0.359, \"volume_breakout\": 0.088}"	"{\"macd\": 0.079, \"volume_breakout\": 0.079, \"bollinger\": 0.413, \"vwap\": 0.097, \"trend_follow\": 0.334}"	applied	auto-fitness (virtual, α=0.15)
06-26 05:00	L2	weights	"{\"macd\": 0.099, \"vwap\": 0.122, \"bollinger\": 0.298, \"trend_follow\": 0.382, \"volume_breakout\": 0.099}"	"{\"macd\": 0.088, \"volume_breakout\": 0.088, \"bollinger\": 0.355, \"vwap\": 0.109, \"trend_follow\": 0.359}"	applied	auto-fitness (virtual, α=0.15)
06-22 05:00	L2	weights	"{\"macd\": 0.081, \"vwap\": 0.108, \"bollinger\": 0.315, \"trend_follow\": 0.414, \"volume_breakout\": 0.081}"	"{\"macd\": 0.099, \"volume_breakout\": 0.099, \"bollinger\": 0.298, \"vwap\": 0.122, \"trend_follow\": 0.382}"	applied	auto-fitness (virtual, α=0.15)
06-21 05:00	L2	weights	"{\"macd\": 0.06, \"vwap\": 0.092, \"bollinger\": 0.336, \"trend_follow\": 0.452, \"volume_breakout\": 0.06}"	"{\"macd\": 0.081, \"volume_breakout\": 0.081, \"bollinger\": 0.315, \"vwap\": 0.108, \"trend_follow\": 0.414}"	applied	auto-fitness (virtual, α=0.15)
06-20 05:00	L2	weights	"{\"macd\": 0.068, \"vwap\": 0.105, \"bollinger\": 0.363, \"trend_follow\": 0.396, \"volume_breakout\": 0.068}"	"{\"macd\": 0.06, \"volume_breakout\": 0.06, \"bollinger\": 0.336, \"vwap\": 0.092, \"trend_follow\": 0.452}"	applied	auto-fitness (virtual, α=0.15)
06-19 05:00	L2	weights	"{\"macd\": 0.077, \"vwap\": 0.118, \"bollinger\": 0.389, \"trend_follow\": 0.339, \"volume_breakout\": 0.077}"	"{\"macd\": 0.068, \"volume_breakout\": 0.068, \"bollinger\": 0.363, \"vwap\": 0.105, \"trend_follow\": 0.396}"	applied	auto-fitness (virtual, α=0.15)

maj 2026-06-30 04:28 UTC · données paper