Short Trade on WOO 22 Sep 2025 at 17:16:59

Take profit at 0.06582 (1.3 %) and Stop Loss at 0.06712 (0.64 %)

Short Trade on WOO

The 22 Sep 2025 at 17:16:59

With 18491.5585 WOO at 0.06669$ per unit.

Position size of 1233.202 $

Take profit at 0.06582 (1.3 %) and Stop Loss at 0.06712 (0.64 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.75
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.52
Prediction 3 Probability
1 0.53
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium_confirmed

BTC Correlation Score

5m : 0.49664

15m : -0.030001

1H : -0.122496

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0002884198941
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.0660982
  4. ema21 : 0.0677636
  5. ema50 : 0.0696769
  6. ema100 : 0.0706028
  7. price_ema9_diff : 0.00895236
  8. ema9_ema21_diff : -0.0245769
  9. ema21_ema50_diff : -0.0274596
  10. price_ema100_diff : -0.0554202
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.454997
  14. ema_slope_21 : -0.486638
  15. ema_slope_50 : -0.275059
  16. ema_slope_100 : -0.150122
  17. rsi : 0.423904
  18. adx : 0.395586
  19. kc_percentage : 0.328648
  20. kc_width_percentage : 0.0827754
  21. volume_ema_diff : -0.675839
  22. volume_ema1 : 90595.544726042
  23. volume_ema2 : 279477.80040546
  24. chop : 83.1716
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0659815
  29. ema21 : 0.0657427
  30. ema50 : 0.0666406
  31. ema100 : 0.0689267
  32. price_ema9_diff : 0.0107367
  33. ema9_ema21_diff : 0.00363258
  34. ema21_ema50_diff : -0.0134732
  35. price_ema100_diff : -0.0324514
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0812126
  39. ema_slope_21 : 0.0164211
  40. ema_slope_50 : -0.0715771
  41. ema_slope_100 : -0.105494
  42. rsi : 0.62885
  43. adx : 0.293782
  44. kc_percentage : 0.980738
  45. kc_width_percentage : 0.0295753
  46. volume_ema_diff : -0.642407
  47. volume_ema1 : 16936.325113159
  48. volume_ema2 : 47362.141710211
  49. chop : 47.3985
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.0663325
  54. ema21 : 0.0659548
  55. ema50 : 0.0656714
  56. ema100 : 0.0656824
  57. price_ema9_diff : 0.00538895
  58. ema9_ema21_diff : 0.0057257
  59. ema21_ema50_diff : 0.00431646
  60. price_ema100_diff : 0.0153403
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.152143
  64. ema_slope_21 : 0.0982538
  65. ema_slope_50 : 0.0461128
  66. ema_slope_100 : 0.0191066
  67. rsi : 0.6913
  68. adx : 0.256094
  69. kc_percentage : 1.1264
  70. kc_width_percentage : 0.0170704
  71. volume_ema_diff : -0.0801995
  72. volume_ema1 : 8246.573160534
  73. volume_ema2 : 8965.6111282033
  74. chop : 33.5924
  75. regime : bull_medium_confirmed
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112537
  80. 5m_price_ema100_diff:
    0.00100107
  81. 5m_price:
    112650
  82. 5m_correlation_with_coin:
    0.49664
  83. btc_indicators
  84. 15m_ema100:
    113283
  85. 15m_price_ema100_diff:
    -0.00558518
  86. 15m_price:
    112650
  87. 15m_correlation_with_coin:
    -0.030001
  88. btc_indicators
  89. 1H_ema100:
    115032
  90. 1H_price_ema100_diff:
    -0.0207052
  91. 1H_price:
    112650
  92. 1H_correlation_with_coin:
    -0.122496
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:16:59
22 Sep 2025
17:25:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06669 0.06712 0.06582 2.02 0.01677
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.06669
  • Stop Loss: 0.06712
  • Take Profit: 0.06582

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06712 - 0.06669 = 0.00043

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06669 - 0.06582 = 0.00087

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00087 / 0.00043 = 2.0233

📌 Position Size

Amount Margin Quantity Leverage
1233.202 100 18491.5585 12.33
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.00043

Taille de position = 8 / 0.00043 = 18604.65

Taille de position USD = 18604.65 x 0.06669 = 1240.74

Donc, tu peux acheter 18604.65 avec un stoploss a 0.06712

Avec un position size USD de 1240.74$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 18604.65 x 0.00043 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 18604.65 x 0.00087 = 16.19

Si Take Profit atteint, tu gagneras 16.19$

Résumé

  • Taille de position 18604.65
  • Taille de position USD 1240.74
  • Perte potentielle 8
  • Gain potentiel 16.19
  • Risk-Reward Ratio 2.0233

📌 Peformances

TP % Target TP $ Target
1.3 % 16.09 $
SL % Target SL $ Target
0.64 % 7.95 $
PNL PNL %
-7.95 $ -0.64
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6598 % 102.33 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06582
            [entry_price] => 0.06669
            [stop_loss] => 0.067163
            [rr_ratio] => 1.84
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06582
            [entry_price] => 0.06669
            [stop_loss] => 0.067206
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06582
            [entry_price] => 0.06669
            [stop_loss] => 0.067249
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06582
            [entry_price] => 0.06669
            [stop_loss] => 0.067335
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00015
            [max_drawdown] => 0.00065999999999999
            [rr_ratio] => 0.23
            [high] => 0.06735000
            [low] => 0.06654000
            [mfe_pct] => 0.22
            [mae_pct] => 0.99
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:16:59-04:00
            [end_at] => 2025-09-22T19:16:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00368
            [max_drawdown] => 0.00086
            [rr_ratio] => 4.28
            [high] => 0.06755000
            [low] => 0.06301000
            [mfe_pct] => 5.52
            [mae_pct] => 1.29
            [mfe_mae_ratio] => 4.28
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T17:16:59-04:00
            [end_at] => 2025-09-23T00:16:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06698000
            [high_after] => 0.06755000
            [low_before] => 0.06458000
            [low_after] => 0.06301000
            [is_new_high] => 
            [is_new_low] => 1
        )

)