Web3Way Logo

Short Trade on MOCA

Short Trade on MOCA

The 03 Nov 2025 at 12:25:20

With 12388.5139 MOCA at 0.05476$ per unit.

Position size of 678.395 $

Take profit at 0.05347 (2.36 %) and Stop Loss at 0.05541 (1.19 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.68
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.79
Prediction 3 Probability
1 0.69
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_high
BTC Correlation Score

5m : 0.292861

15m : 0.115309

1H : -0.018816

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.32
  4. atr: 0.0004305063058
Details
  1. score: 1.32
  2. 1H
  3. ema9 - 0.0551582
  4. ema21 - 0.0565629
  5. ema50 - 0.0566355
  6. ema100 - 0.055188
  7. price_ema9_diff - -0.00721971
  8. ema9_ema21_diff - -0.0248338
  9. ema21_ema50_diff - -0.0012833
  10. price_ema100_diff - -0.00775651
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -0.570965
  14. ema_slope_21 - -0.305311
  15. ema_slope_50 - -0.0668439
  16. ema_slope_100 - 0.0339262
  17. rsi - 0.44947
  18. adx - 0.221016
  19. kc_percentage - 0.330248
  20. kc_width_percentage - 0.1874
  21. volume_ema_diff - 0.419356
  22. volume_ema1 - 356755.92417002
  23. volume_ema2 - 251350.43617109
  24. chop - 25.4063
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0534748
  28. ema21 - 0.0542692
  29. ema50 - 0.055939
  30. ema100 - 0.0570676
  31. price_ema9_diff - 0.0240328
  32. ema9_ema21_diff - -0.0146378
  33. ema21_ema50_diff - -0.0298508
  34. price_ema100_diff - -0.0404365
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.285197
  38. ema_slope_21 - -0.371887
  39. ema_slope_50 - -0.26146
  40. ema_slope_100 - -0.159094
  41. rsi - 0.500398
  42. adx - 0.292729
  43. kc_percentage - 0.638405
  44. kc_width_percentage - 0.0753771
  45. volume_ema_diff - -0.656742
  46. volume_ema1 - 37585.551183786
  47. volume_ema2 - 109496.69775865
  48. chop - 46.1484
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.0539635
  52. ema21 - 0.0534219
  53. ema50 - 0.0539171
  54. ema100 - 0.0550977
  55. price_ema9_diff - 0.0147597
  56. ema9_ema21_diff - 0.0101373
  57. ema21_ema50_diff - -0.0091839
  58. price_ema100_diff - -0.00613049
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - 0.260744
  62. ema_slope_21 - 0.117346
  63. ema_slope_50 - -0.0284443
  64. ema_slope_100 - -0.0625239
  65. rsi - 0.698559
  66. adx - 0.287567
  67. kc_percentage - 1.31922
  68. kc_width_percentage - 0.0294994
  69. volume_ema_diff - -0.764775
  70. volume_ema1 - 8053.2046713579
  71. volume_ema2 - 34236.301650146
  72. chop - 29.5181
  73. regime - range_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 107168
  77. 5m_price_ema100_diff: 0.000469001
  78. 5m_price: 107219
  79. 5m_correlation_with_coin: 0.292861
  80. btc_indicators
  81. 15m_ema100: 108149
  82. 15m_price_ema100_diff: -0.0108643
  83. 15m_price: 106974
  84. 15m_correlation_with_coin: 0.115309
  85. btc_indicators
  86. 1H_ema100: 108945
  87. 1H_price_ema100_diff: -0.0158429
  88. 1H_price: 107219
  89. 1H_correlation_with_coin: -0.018816
    90. ¸

📌 Time Data

Start at Closed at Duration
03 Nov 2025
12:25:20		 03 Nov 2025
12:40:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05476 0.05541 0.05347 1.98 0.01951
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 0.05476
  • Stop Loss: 0.05541
  • Take Profit: 0.05347

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05541 - 0.05476 = 0.00065

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05476 - 0.05347 = 0.00129

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00129 / 0.00065 = 1.9846

📌 Position Size

Amount Margin Quantity Leverage
678.395 100 12388.5139 6.78
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 0.00065

Taille de position = 8 / 0.00065 = 12307.69

Taille de position USD = 12307.69 x 0.05476 = 673.97

Donc, tu peux acheter 12307.69 avec un stoploss a 0.05541

Avec un position size USD de 673.97$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 12307.69 x 0.00065 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 12307.69 x 0.00129 = 15.88

Si Take Profit atteint, tu gagneras 15.88$

Résumé

  • Taille de position 12307.69
  • Taille de position USD 673.97
  • Perte potentielle 8
  • Gain potentiel 15.88
  • Risk-Reward Ratio 1.9846

📌 Peformances

TP % Target TP $ Target
2.36 % 15.98 $
SL % Target SL $ Target
1.19 % 8.05 $
PNL PNL %
-8.05 $ -1.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.26 % 106.15 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05347
            [entry_price] => 0.05476
            [stop_loss] => 0.055475
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-03 12:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05347
            [entry_price] => 0.05476
            [stop_loss] => 0.05554
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-03 12:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05347
            [entry_price] => 0.05476
            [stop_loss] => 0.055605
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-03 12:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05347
            [entry_price] => 0.05476
            [stop_loss] => 0.055735
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-03 12:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -9.9999999999961E-6
            [max_drawdown] => 0.0026
            [rr_ratio] => 0
            [high] => 0.05736000
            [low] => 0.05477000
            [mfe_pct] => -0.02
            [mae_pct] => 4.75
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-11-03T12:25:20-05:00
            [end_at] => 2025-11-03T14:25:20-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00296
            [max_drawdown] => 0.0026
            [rr_ratio] => 1.14
            [high] => 0.05736000
            [low] => 0.05180000
            [mfe_pct] => 5.41
            [mae_pct] => 4.75
            [mfe_mae_ratio] => 1.14
            [candles_analyzed] => 84
            [start_at] => 2025-11-03T12:25:20-05:00
            [end_at] => 2025-11-03T19:25:20-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05577000
            [high_after] => 0.05736000
            [low_before] => 0.04968000
            [low_after] => 0.05240000
            [is_new_high] => 
            [is_new_low] => 
        )

)