Long Trade on ESPORTS 01 Sep 2025 at 18:07:34

Take profit at 0.1128 (3.77 %) and Stop Loss at 0.106 (2.48 %)

Long Trade on ESPORTS

The 01 Sep 2025 at 18:07:34

With 2936.4485 ESPORTS at 0.1087$ per unit.

Position size of 319.3094 $

Take profit at 0.1128 (3.77 %) and Stop Loss at 0.106 (2.48 %)

That's a 1.52 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 120
ML Pullback Score: 8
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
1 0.65
Prediction 3 Probability
1 0.63
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : bear_low

BTC Correlation Score

5m : 0.20273

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.001816252991
Details
  1. score: 2.11
  2. 1H
  3. ema9 : 0.111224
  4. ema21 : 0.108373
  5. ema50 : 0.105467
  6. ema100 : 0.103765
  7. price_ema9_diff : -0.0223379
  8. ema9_ema21_diff : 0.0263033
  9. ema21_ema50_diff : 0.0275539
  10. price_ema100_diff : 0.0479352
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.528543
  14. adx : 0.384597
  15. kc_percentage : 0.511683
  16. kc_width_percentage : 0.141386
  17. volume_ema_diff : 0.709108
  18. volume_ema1 : 464883.77224787
  19. volume_ema2 : 272003.68818723
  20. ¸
  21. 15m
  22. ema9 : 0.113489
  23. ema21 : 0.112713
  24. ema50 : 0.11013
  25. ema100 : 0.107218
  26. price_ema9_diff : -0.0418521
  27. ema9_ema21_diff : 0.00688314
  28. ema21_ema50_diff : 0.0234591
  29. price_ema100_diff : 0.0141891
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.396513
  33. adx : 0.399113
  34. kc_percentage : 0.136968
  35. kc_width_percentage : 0.102972
  36. volume_ema_diff : 0.806726
  37. volume_ema1 : 210057.57707668
  38. volume_ema2 : 116264.19439667
  39. ¸
  40. 5m
  41. ema9 : 0.112991
  42. ema21 : 0.113781
  43. ema50 : 0.1132
  44. ema100 : 0.111883
  45. price_ema9_diff : -0.0376252
  46. ema9_ema21_diff : -0.00694657
  47. ema21_ema50_diff : 0.00513548
  48. price_ema100_diff : -0.0280967
  49. all_emas_in_trend : False
  50. all_emas_and_price_in_trend : False
  51. rsi : 0.292909
  52. adx : 0.293353
  53. kc_percentage : -0.111421
  54. kc_width_percentage : 0.0756584
  55. volume_ema_diff : 0.781418
  56. volume_ema1 : 100513.19698821
  57. volume_ema2 : 56423.109167808
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108703
  62. 5m_price_ema100_diff:
    -0.00956397
  63. 5m_price:
    107664
  64. 5m_correlation_with_coin:
    0.20273
  65. btc_indicators
  66. 15m_ema100:
    108701
  67. 15m_price_ema100_diff:
    -0.00954297
  68. 15m_price:
    107664
  69. btc_indicators
  70. 1H_ema100:
    109187
  71. 1H_price_ema100_diff:
    -0.0139475
  72. 1H_price:
    107664
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
18:07:34
01 Sep 2025
18:20:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1087 0.106 0.1128 1.52 0.3046
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 0.1087
  • Stop Loss: 0.106
  • Take Profit: 0.1128

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.106 - 0.1087 = -0.0027

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1087 - 0.1128 = -0.0041

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0041 / -0.0027 = 1.5185

📌 Position Size

Amount Margin Quantity Leverage
319.3094 100 2936.4485 3.19
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 -0.0027

Taille de position = 8 / -0.0027 = -2962.96

Taille de position USD = -2962.96 x 0.1087 = -322.07

Donc, tu peux acheter -2962.96 avec un stoploss a 0.106

Avec un position size USD de -322.07$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2962.96 x -0.0027 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2962.96 x -0.0041 = 12.15

Si Take Profit atteint, tu gagneras 12.15$

Résumé

  • Taille de position -2962.96
  • Taille de position USD -322.07
  • Perte potentielle 8
  • Gain potentiel 12.15
  • Risk-Reward Ratio 1.5185

📌 Peformances

TP % Target TP $ Target
3.77 % 12.04 $
SL % Target SL $ Target
2.48 % 7.93 $
PNL PNL %
12.04 $ 3.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1141
            [stop_loss] => 0.106
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 19:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.11545
            [stop_loss] => 0.106
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 19:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1168
            [stop_loss] => 0.106
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 19:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.11815
            [stop_loss] => 0.106
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 19:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1195
            [stop_loss] => 0.106
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 19:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.12085
            [stop_loss] => 0.106
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 19:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1222
            [stop_loss] => 0.106
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 19:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.12355
            [stop_loss] => 0.106
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 19:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1249
            [stop_loss] => 0.106
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 19:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0163
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.12500000
            [low] => 0.10906000
            [mfe_pct] => 15
            [mae_pct] => -0.33
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T18:07:34-04:00
            [end_at] => 2025-09-01T20:07:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0163
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.12500000
            [low] => 0.10906000
            [mfe_pct] => 15
            [mae_pct] => -0.33
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T18:07:34-04:00
            [end_at] => 2025-09-02T01:07:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11710000
            [high_after] => 0.12500000
            [low_before] => 0.10572000
            [low_after] => 0.10906000
            [is_new_high] => 1
            [is_new_low] => 
        )

)