Nodies V2 — Bot LTC

Bot LTC

active · payment

ADN tactique

          mean_reversion 0.06
          macd 0.43
          btc_correlation 0.00
          volume_profile 0.00
          funding_extreme 0.00
          bollinger 0.08
          vwap 0.16
          trend_follow 0.27
      

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

Histoire (ADN narratif)

great_win 06-23 15:54

short fermé [tp_hit] pnl +3.4% (+126 USDT)

great_win 06-14 23:04

long fermé [tp_hit] pnl +2.5% (+116 USDT)

great_win 06-02 02:14

short fermé [tp_hit] pnl +3.3% (+139 USDT)

state_change 05-29 15:23

Fin de gestation → ACTIVE (paper trading)

birth 05-29 14:56

Naissance de Bot[LTC] (payment) — gestation 4j — sous-stratégies: mean_reversion, macd, btc_correlation, volume_profile, funding_extreme

Historique des trades (19)

Sens	Entrée	Sortie	PnL%	PnL USDT	Raison	Quand
SHORT	42.2800	40.8300	3.43%	108.07	tp_hit	06-24 15:49
SHORT	43.3300	41.8400	3.44%	125.72	tp_hit	06-23 15:54
SHORT	43.3000	43.9872	-1.59%	-58.01	sl_hit	06-19 13:59
SHORT	45.7000	45.2400	1.01%	26.09	tp_trail	06-16 17:39
SHORT	45.1100	45.6457	-1.19%	-56.36	sl_hit	06-15 10:34
LONG	44.0100	45.1100	2.50%	115.60	tp_hit	06-14 23:04
SHORT	43.4000	44.0386	-1.47%	-55.53	sl_hit	06-13 15:44
SHORT	42.7200	42.5500	0.40%	4.89	tp_trail	06-09 17:19
SHORT	42.8600	42.7200	0.33%	4.66	circuit_breaker	06-07 22:29
SHORT	43.2200	42.8600	0.83%	14.32	circuit_breaker	06-07 22:24
SHORT	42.2300	43.2200	-2.34%	-54.05	circuit_breaker	06-07 22:19
SHORT	43.3300	41.3300	4.62%	57.83	tp_hit	06-06 04:34
SHORT	44.1600	42.0300	4.82%	64.21	tp_hit	06-05 19:24
SHORT	51.6100	49.9100	3.29%	134.48	tp_hit	06-02 02:14
SHORT	51.4800	51.9879	-0.99%	-54.18	sl_hit	06-01 02:49
SHORT	51.6300	52.0072	-0.73%	-56.53	sl_hit	05-31 22:04
SHORT	52.3100	51.9200	0.75%	66.85	circuit_breaker	05-31 14:24
SHORT	52.1300	52.7043	-1.10%	-54.79	sl_hit	05-30 14:04
SHORT	52.1700	51.8700	0.58%	26.78	circuit_breaker	05-29 16:29

Mutations

Quand	Niv.	Paramètre	Ancien	Nouveau	Statut	Raison
06-28 05:00	L2	weights	"{\"macd\": 0.399, \"vwap\": 0.185, \"bollinger\": 0.074, \"trend_follow\": 0.266, \"mean_reversion\": 0.075}"	"{\"mean_reversion\": 0.063, \"macd\": 0.43, \"bollinger\": 0.079, \"vwap\": 0.158, \"trend_follow\": 0.27}"	applied	auto-fitness (virtual, α=0.15)
06-25 05:00	L2	weights	"{\"macd\": 0.365, \"vwap\": 0.217, \"bollinger\": 0.077, \"trend_follow\": 0.264, \"mean_reversion\": 0.076}"	"{\"mean_reversion\": 0.075, \"macd\": 0.399, \"bollinger\": 0.074, \"vwap\": 0.185, \"trend_follow\": 0.266}"	applied	auto-fitness (virtual, α=0.15)
06-24 05:00	L2	weights	"{\"macd\": 0.321, \"vwap\": 0.252, \"bollinger\": 0.08, \"trend_follow\": 0.268, \"mean_reversion\": 0.079}"	"{\"mean_reversion\": 0.076, \"macd\": 0.365, \"bollinger\": 0.077, \"vwap\": 0.217, \"trend_follow\": 0.264}"	applied	auto-fitness (virtual, α=0.15)
06-23 05:00	L2	weights	"{\"macd\": 0.283, \"vwap\": 0.29, \"bollinger\": 0.075, \"trend_follow\": 0.274, \"mean_reversion\": 0.077}"	"{\"mean_reversion\": 0.079, \"macd\": 0.321, \"bollinger\": 0.08, \"vwap\": 0.252, \"trend_follow\": 0.268}"	applied	auto-fitness (virtual, α=0.15)
06-22 05:00	L2	weights	"{\"macd\": 0.243, \"vwap\": 0.331, \"bollinger\": 0.069, \"trend_follow\": 0.282, \"mean_reversion\": 0.075}"	"{\"mean_reversion\": 0.077, \"macd\": 0.283, \"bollinger\": 0.075, \"vwap\": 0.29, \"trend_follow\": 0.274}"	applied	auto-fitness (virtual, α=0.15)
06-21 05:00	L2	weights	"{\"macd\": 0.203, \"vwap\": 0.37, \"bollinger\": 0.062, \"trend_follow\": 0.293, \"mean_reversion\": 0.072}"	"{\"mean_reversion\": 0.075, \"macd\": 0.243, \"bollinger\": 0.069, \"vwap\": 0.331, \"trend_follow\": 0.282}"	applied	auto-fitness (virtual, α=0.15)
06-20 05:00	L2	weights	"{\"macd\": 0.161, \"vwap\": 0.407, \"bollinger\": 0.062, \"trend_follow\": 0.302, \"mean_reversion\": 0.068}"	"{\"mean_reversion\": 0.072, \"macd\": 0.203, \"bollinger\": 0.062, \"vwap\": 0.37, \"trend_follow\": 0.293}"	applied	auto-fitness (virtual, α=0.15)
06-19 05:00	L2	weights	"{\"macd\": 0.12, \"vwap\": 0.445, \"bollinger\": 0.06, \"trend_follow\": 0.312, \"mean_reversion\": 0.062}"	"{\"mean_reversion\": 0.068, \"macd\": 0.161, \"bollinger\": 0.062, \"vwap\": 0.407, \"trend_follow\": 0.302}"	applied	auto-fitness (virtual, α=0.15)

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