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Short Trade on SWARMS

Short Trade on SWARMS

The 01 Dec 2025 at 15:51:57

With 65135.438 SWARMS at 0.01245$ per unit.

Position size of 810.9362 $

Take profit at 0.0122 (2.01 %) and Stop Loss at 0.01257 (0.96 %)

That's a 2.08 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.94
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.6
Prediction 3 Probability
0 0.55
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.465909

15m : 0.030559

1H : -0.028146

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 8.188067042E-5
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 0.0122881
  4. ema21 - 0.0127363
  5. ema50 - 0.0131123
  6. ema100 - 0.0130537
  7. price_ema9_diff - 0.0131691
  8. ema9_ema21_diff - -0.0351875
  9. ema21_ema50_diff - -0.0286774
  10. price_ema100_diff - -0.0462513
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.905309
  14. ema_slope_21 - -0.740449
  15. ema_slope_50 - -0.358126
  16. ema_slope_100 - -0.152043
  17. rsi - 0.431984
  18. adx - 0.285872
  19. kc_percentage - 0.371247
  20. kc_width_percentage - 0.158537
  21. volume_ema_diff - -0.601309
  22. volume_ema1 - 63673.457664349
  23. volume_ema2 - 159706.66814468
  24. chop - 44.6722
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0122654
  28. ema21 - 0.012195
  29. ema50 - 0.012428
  30. ema100 - 0.0130047
  31. price_ema9_diff - 0.0150498
  32. ema9_ema21_diff - 0.00576898
  33. ema21_ema50_diff - -0.0187474
  34. price_ema100_diff - -0.0426584
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.13751
  38. ema_slope_21 - 0.0664496
  39. ema_slope_50 - -0.0832992
  40. ema_slope_100 - -0.134355
  41. rsi - 0.606147
  42. adx - 0.174062
  43. kc_percentage - 0.875929
  44. kc_width_percentage - 0.0543579
  45. volume_ema_diff - -0.771125
  46. volume_ema1 - 7983.5978125219
  47. volume_ema2 - 34881.940331561
  48. chop - 53.706
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.0123266
  52. ema21 - 0.0122479
  53. ema50 - 0.0121596
  54. ema100 - 0.0120471
  55. price_ema9_diff - 0.0100036
  56. ema9_ema21_diff - 0.00643112
  57. ema21_ema50_diff - 0.00725778
  58. price_ema100_diff - 0.0334401
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.137922
  62. ema_slope_21 - 0.0833061
  63. ema_slope_50 - 0.0547981
  64. ema_slope_100 - 0.0444866
  65. rsi - 0.665031
  66. adx - 0.223049
  67. kc_percentage - 1.07272
  68. kc_width_percentage - 0.027733
  69. volume_ema_diff - 0.116405
  70. volume_ema1 - 4836.7875963893
  71. volume_ema2 - 4332.4640318335
  72. chop - 23.5458
  73. regime - bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 85210.1
  77. 5m_price_ema100_diff: 0.00193713
  78. 5m_price: 85375.2
  79. 5m_correlation_with_coin: 0.465909
  80. btc_indicators
  81. 15m_ema100: 86751.8
  82. 15m_price_ema100_diff: -0.0160941
  83. 15m_price: 85355.7
  84. 15m_correlation_with_coin: 0.030559
  85. btc_indicators
  86. 1H_ema100: 89331.8
  87. 1H_price_ema100_diff: -0.0442918
  88. 1H_price: 85375.2
  89. 1H_correlation_with_coin: -0.028146
    90. ¸

📌 Time Data

Start at Closed at Duration
01 Dec 2025
15:51:57		 01 Dec 2025
16:05:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01245 0.01257 0.0122 2.08 0.01678
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 0.01245
  • Stop Loss: 0.01257
  • Take Profit: 0.0122

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01257 - 0.01245 = 0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01245 - 0.0122 = 0.00025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00025 / 0.00012 = 2.0833

📌 Position Size

Amount Margin Quantity Leverage
810.9362 100 65135.438 8.11
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 0.00012

Taille de position = 8 / 0.00012 = 66666.67

Taille de position USD = 66666.67 x 0.01245 = 830

Donc, tu peux acheter 66666.67 avec un stoploss a 0.01257

Avec un position size USD de 830$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 66666.67 x 0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 66666.67 x 0.00025 = 16.67

Si Take Profit atteint, tu gagneras 16.67$

Résumé

  • Taille de position 66666.67
  • Taille de position USD 830
  • Perte potentielle 8
  • Gain potentiel 16.67
  • Risk-Reward Ratio 2.0833

📌 Peformances

TP % Target TP $ Target
2.01 % 16.28 $
SL % Target SL $ Target
0.96 % 7.82 $
PNL PNL %
-7.82 $ -0.96
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1245 % 116.66 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0122
            [entry_price] => 0.01245
            [stop_loss] => 0.012582
            [rr_ratio] => 1.89
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-01 16:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0122
            [entry_price] => 0.01245
            [stop_loss] => 0.012594
            [rr_ratio] => 1.74
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-01 16:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0122
            [entry_price] => 0.01245
            [stop_loss] => 0.012606
            [rr_ratio] => 1.6
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-01 16:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0122
            [entry_price] => 0.01245
            [stop_loss] => 0.01263
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-01 16:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00022
            [max_drawdown] => 0.00023
            [rr_ratio] => 0.96
            [high] => 0.01268000
            [low] => 0.01223000
            [mfe_pct] => 1.77
            [mae_pct] => 1.85
            [mfe_mae_ratio] => 0.96
            [candles_analyzed] => 24
            [start_at] => 2025-12-01T15:51:57-05:00
            [end_at] => 2025-12-01T17:51:57-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00022
            [max_drawdown] => 0.0008
            [rr_ratio] => 0.28
            [high] => 0.01325000
            [low] => 0.01223000
            [mfe_pct] => 1.77
            [mae_pct] => 6.43
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 84
            [start_at] => 2025-12-01T15:51:57-05:00
            [end_at] => 2025-12-01T22:51:57-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01261000
            [high_after] => 0.01309000
            [low_before] => 0.01189000
            [low_after] => 0.01223000
            [is_new_high] => 
            [is_new_low] => 
        )

)