Short Trade on ESPORTS 25 Sep 2025 at 04:48:17

Take profit at 0.1603 (1.6 %) and Stop Loss at 0.1641 (0.74 %)

Short Trade on ESPORTS

The 25 Sep 2025 at 04:48:17

With 6256.8862 ESPORTS at 0.1629$ per unit.

Position size of 1018.9965 $

Take profit at 0.1603 (1.6 %) and Stop Loss at 0.1641 (0.74 %)

That's a 2.17 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.98
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.53
Prediction 2 Probability
0 0.43
Prediction 3 Probability
1 0.51
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_medium

BTC Correlation Score

5m : 0.450331

15m : 0.043712

1H : -0.073682

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0008523941724
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.163129
  4. ema21 : 0.166004
  5. ema50 : 0.167419
  6. ema100 : 0.166695
  7. price_ema9_diff : -0.00165076
  8. ema9_ema21_diff : -0.017323
  9. ema21_ema50_diff : -0.00844748
  10. price_ema100_diff : -0.0230101
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.374762
  14. ema_slope_21 : -0.238501
  15. ema_slope_50 : -0.0931278
  16. ema_slope_100 : -0.0284745
  17. rsi : 0.414947
  18. adx : 0.227912
  19. kc_percentage : 0.300687
  20. kc_width_percentage : 0.0919952
  21. volume_ema_diff : -0.169211
  22. volume_ema1 : 267121.73321291
  23. volume_ema2 : 321528.0228538
  24. chop : 54.6641
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.161377
  29. ema21 : 0.161858
  30. ema50 : 0.164407
  31. ema100 : 0.166947
  32. price_ema9_diff : 0.00918922
  33. ema9_ema21_diff : -0.00297376
  34. ema21_ema50_diff : -0.0155076
  35. price_ema100_diff : -0.0244823
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.00598606
  39. ema_slope_21 : -0.0953665
  40. ema_slope_50 : -0.110485
  41. ema_slope_100 : -0.0828281
  42. rsi : 0.5241
  43. adx : 0.317227
  44. kc_percentage : 0.670619
  45. kc_width_percentage : 0.0391518
  46. volume_ema_diff : -0.464352
  47. volume_ema1 : 37494.668572361
  48. volume_ema2 : 69998.713266201
  49. chop : 62.9003
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.16178
  54. ema21 : 0.161092
  55. ema50 : 0.161309
  56. ema100 : 0.162645
  57. price_ema9_diff : 0.00667087
  58. ema9_ema21_diff : 0.00427043
  59. ema21_ema50_diff : -0.00134489
  60. price_ema100_diff : 0.00132123
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0713178
  64. ema_slope_21 : 0.0375353
  65. ema_slope_50 : -0.00264195
  66. ema_slope_100 : -0.0206594
  67. rsi : 0.676706
  68. adx : 0.250118
  69. kc_percentage : 1.00652
  70. kc_width_percentage : 0.0210977
  71. volume_ema_diff : -0.304317
  72. volume_ema1 : 15358.584236006
  73. volume_ema2 : 22076.989617867
  74. chop : 38.0838
  75. regime : range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112126
  80. 5m_price_ema100_diff:
    -0.00378646
  81. 5m_price:
    111702
  82. 5m_correlation_with_coin:
    0.450331
  83. btc_indicators
  84. 15m_ema100:
    112586
  85. 15m_price_ema100_diff:
    -0.00785717
  86. 15m_price:
    111702
  87. 15m_correlation_with_coin:
    0.043712
  88. btc_indicators
  89. 1H_ema100:
    113233
  90. 1H_price_ema100_diff:
    -0.0135247
  91. 1H_price:
    111702
  92. 1H_correlation_with_coin:
    -0.073682
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
25 Sep 2025
04:48:17
25 Sep 2025
05:05:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1629 0.1641 0.1603 2.17 0.3073
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 0.1629
  • Stop Loss: 0.1641
  • Take Profit: 0.1603

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1641 - 0.1629 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1629 - 0.1603 = 0.0026

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0026 / 0.0012 = 2.1667

📌 Position Size

Amount Margin Quantity Leverage
1018.9965 100 6256.8862 10.19
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.1629 = 1086

Donc, tu peux acheter 6666.67 avec un stoploss a 0.1641

Avec un position size USD de 1086$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0026 = 17.33

Si Take Profit atteint, tu gagneras 17.33$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 1086
  • Perte potentielle 8
  • Gain potentiel 17.33
  • Risk-Reward Ratio 2.1667

📌 Peformances

TP % Target TP $ Target
1.6 % 16.27 $
SL % Target SL $ Target
0.74 % 7.51 $
PNL PNL %
-7.51 $ -0.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2216 % 165.84 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1603
            [entry_price] => 0.1629
            [stop_loss] => 0.16422
            [rr_ratio] => 1.97
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-25 05:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1603
            [entry_price] => 0.1629
            [stop_loss] => 0.16434
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-25 05:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1603
            [entry_price] => 0.1629
            [stop_loss] => 0.16446
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-25 05:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1603
            [entry_price] => 0.1629
            [stop_loss] => 0.1647
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-25 05:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00115
            [max_drawdown] => 0.00384
            [rr_ratio] => 0.3
            [high] => 0.16674000
            [low] => 0.16175000
            [mfe_pct] => 0.71
            [mae_pct] => 2.36
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-09-25T04:48:17-04:00
            [end_at] => 2025-09-25T06:48:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00476
            [max_drawdown] => 0.00385
            [rr_ratio] => 1.24
            [high] => 0.16675000
            [low] => 0.15814000
            [mfe_pct] => 2.92
            [mae_pct] => 2.36
            [mfe_mae_ratio] => 1.24
            [candles_analyzed] => 84
            [start_at] => 2025-09-25T04:48:17-04:00
            [end_at] => 2025-09-25T11:48:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16383000
            [high_after] => 0.16675000
            [low_before] => 0.15925000
            [low_after] => 0.15814000
            [is_new_high] => 
            [is_new_low] => 1
        )

)