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Short Trade on ESPORTS

Short Trade on ESPORTS

The 01 Oct 2025 at 04:43:48

With 6800.6413 ESPORTS at 0.1623$ per unit.

Position size of 1103.6761 $

Take profit at 0.1599 (1.48 %) and Stop Loss at 0.1635 (0.74 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.03
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.62
Prediction 3 Probability
0 0.69
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium_confirmed

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium_confirmed
BTC Correlation Score

5m : 0.308522

15m : 0.073485

1H : 0.047573

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0007842397607
Details
  1. score: 1.11
  2. 1H
  3. ema9 - 0.160658
  4. ema21 - 0.164325
  5. ema50 - 0.168854
  6. ema100 - 0.168424
  7. price_ema9_diff - 0.0101569
  8. ema9_ema21_diff - -0.0223168
  9. ema21_ema50_diff - -0.0268208
  10. price_ema100_diff - -0.0364251
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.397802
  14. ema_slope_21 - -0.466927
  15. ema_slope_50 - -0.270259
  16. ema_slope_100 - -0.11623
  17. rsi - 0.404001
  18. adx - 0.351449
  19. kc_percentage - 0.36522
  20. kc_width_percentage - 0.0787313
  21. volume_ema_diff - -0.0375085
  22. volume_ema1 - 235934.89019627
  23. volume_ema2 - 245129.33230812
  24. chop - 62.5666
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.160092
  28. ema21 - 0.159807
  29. ema50 - 0.161485
  30. ema100 - 0.166338
  31. price_ema9_diff - 0.0137289
  32. ema9_ema21_diff - 0.00178292
  33. ema21_ema50_diff - -0.0103905
  34. price_ema100_diff - -0.0243408
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0464101
  38. ema_slope_21 - 0.0170162
  39. ema_slope_50 - -0.0514164
  40. ema_slope_100 - -0.0876565
  41. rsi - 0.54979
  42. adx - 0.127136
  43. kc_percentage - 0.952592
  44. kc_width_percentage - 0.0338105
  45. volume_ema_diff - -0.483394
  46. volume_ema1 - 30882.960848358
  47. volume_ema2 - 59780.525558606
  48. chop - 60.6431
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.160857
  52. ema21 - 0.160345
  53. ema50 - 0.159844
  54. ema100 - 0.159501
  55. price_ema9_diff - 0.00890778
  56. ema9_ema21_diff - 0.00319136
  57. ema21_ema50_diff - 0.00313422
  58. price_ema100_diff - 0.0174845
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0596154
  62. ema_slope_21 - 0.0452571
  63. ema_slope_50 - 0.0271033
  64. ema_slope_100 - 0.0165326
  65. rsi - 0.71294
  66. adx - 0.189902
  67. kc_percentage - 1.10819
  68. kc_width_percentage - 0.0193975
  69. volume_ema_diff - -0.293148
  70. volume_ema1 - 14242.609173603
  71. volume_ema2 - 20149.363861386
  72. chop - 46.6575
  73. regime - bull_medium_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 114404
  77. 5m_price_ema100_diff: 0.00790334
  78. 5m_price: 115308
  79. 5m_correlation_with_coin: 0.308522
  80. btc_indicators
  81. 15m_ema100: 114012
  82. 15m_price_ema100_diff: 0.00977867
  83. 15m_price: 115127
  84. 15m_correlation_with_coin: 0.073485
  85. btc_indicators
  86. 1H_ema100: 112384
  87. 1H_price_ema100_diff: 0.0260195
  88. 1H_price: 115308
  89. 1H_correlation_with_coin: 0.047573
    90. ¸

📌 Time Data

Start at Closed at Duration
01 Oct 2025
04:43:48		 01 Oct 2025
04:50:00		 6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1623 0.1635 0.1599 2 0.3394
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 0.1623
  • Stop Loss: 0.1635
  • Take Profit: 0.1599

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1635 - 0.1623 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1623 - 0.1599 = 0.0024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0024 / 0.0012 = 2

📌 Position Size

Amount Margin Quantity Leverage
1103.6761 100 6800.6413 11.04
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 0.1623 = 1082

Donc, tu peux acheter 6666.67 avec un stoploss a 0.1635

Avec un position size USD de 1082$

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 0.0024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 1082
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.48 % 16.32 $
SL % Target SL $ Target
0.74 % 8.16 $
PNL PNL %
-8.16 $ -0.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0721 % 145 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1599
            [entry_price] => 0.1623
            [stop_loss] => 0.16362
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-01 04:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1599
            [entry_price] => 0.1623
            [stop_loss] => 0.16374
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-01 04:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1599
            [entry_price] => 0.1623
            [stop_loss] => 0.16386
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-01 04:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1599
            [entry_price] => 0.1623
            [stop_loss] => 0.1641
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-01 05:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00020000000000001
            [max_drawdown] => 0.00886
            [rr_ratio] => -0.02
            [high] => 0.17116000
            [low] => 0.16250000
            [mfe_pct] => -0.12
            [mae_pct] => 5.46
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 24
            [start_at] => 2025-10-01T04:43:48-04:00
            [end_at] => 2025-10-01T06:43:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.00020000000000001
            [max_drawdown] => 0.01298
            [rr_ratio] => -0.02
            [high] => 0.17528000
            [low] => 0.16250000
            [mfe_pct] => -0.12
            [mae_pct] => 8
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 84
            [start_at] => 2025-10-01T04:43:48-04:00
            [end_at] => 2025-10-01T11:43:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16251000
            [high_after] => 0.17528000
            [low_before] => 0.15740000
            [low_after] => 0.16250000
            [is_new_high] => 
            [is_new_low] => 
        )

)