Trade

buy - ESPORTS

Status
win
2025-08-09 05:11:23
8 minutes
PNL
1.66
Entry: 0.1384
Last: 0.14070000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.2051
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.58
ML Trade Score: 30
ML Pullback Score: 1.18

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.001002346417
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 0.13932
  4. ema21 - 0.137812
  5. ema50 - 0.135695
  6. ema100 - 0.132572
  7. price_ema9_diff - -0.00639398
  8. ema9_ema21_diff - 0.0109473
  9. ema21_ema50_diff - 0.0155991
  10. price_ema100_diff - 0.044182
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.515733
  14. adx - 0.332228
  15. kc_percentage - 0.525713
  16. kc_width_percentage - 0.146258
  17. volume_ema_diff - -0.684657
  18. volume_ema1 - 300433.65950306
  19. volume_ema2 - 952721.07195193
  20. ¸
  21. 15m
  22. ema9 - 0.140544
  23. ema21 - 0.140134
  24. ema50 - 0.138648
  25. ema100 - 0.136785
  26. price_ema9_diff - -0.0150449
  27. ema9_ema21_diff - 0.00292433
  28. ema21_ema50_diff - 0.010721
  29. price_ema100_diff - 0.0120215
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.458663
  33. adx - 0.167651
  34. kc_percentage - 0.294931
  35. kc_width_percentage - 0.0620078
  36. volume_ema_diff - -0.161691
  37. volume_ema1 - 82223.664779279
  38. volume_ema2 - 98082.872438515
  39. ¸
  40. 5m
  41. ema9 - 0.139473
  42. ema21 - 0.140441
  43. ema50 - 0.140291
  44. ema100 - 0.139311
  45. price_ema9_diff - -0.00748356
  46. ema9_ema21_diff - -0.00689122
  47. ema21_ema50_diff - 0.00106649
  48. price_ema100_diff - -0.00633085
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.341397
  52. adx - 0.238743
  53. kc_percentage - -0.0339006
  54. kc_width_percentage - 0.0267267
  55. volume_ema_diff - -0.464813
  56. volume_ema1 - 16998.619777238
  57. volume_ema2 - 31762.046139551
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 116657
  62. 5m_price_ema100_diff: 0.00464791
  63. 5m_price: 117200
  64. 5m_correlation_with_coin: -0.141276
  65. btc_indicators
  66. 15m_ema100: 116618
  67. 15m_price_ema100_diff: 0.00498986
  68. 15m_price: 117200
  69. btc_indicators
  70. 1H_ema100: 115763
  71. 1H_price_ema100_diff: 0.0124122
  72. 1H_price: 117200
  73. ¸

Long Trade on ESPORTS

The 09 Aug 2025 at 05:11:23

With 5320.8484 ESPORTS at 0.1384$ per unit.

Position size of 736.565 $

Take profit at 0.1407 (1.66 %) and Stop Loss at 0.1369 (1.08 %)

That's a 1.53 RR Trade

📌 Similar Trades

Similar Trade Score: -12.27 %

Symbol Start at Seach Score Trade Score Trades Count
ENA 2025-08-07 18:44:13 0.8457 -100 1
HBAR 2025-08-06 15:45:59 0.8355 30 1
USELESS 2025-08-10 23:28:11 0.8318 30 1
MUBARAK 2025-06-23 12:34:12 0.8311 40 1
TON 2025-08-16 08:15:08 0.8243 40 2
ORDI 2025-08-23 05:15:26 0.8284 45 2
JASMY 2025-07-16 14:56:27 0.8229 -100 1
BIO 2025-07-29 10:04:12 0.8216 -100 1
POPCAT 2025-06-28 16:32:37 0.8203 30 1
1000BONK 2025-05-06 04:06:45 0.8166 -100 1
RAY 2025-07-07 02:51:53 0.8145 50 1

📌 Time Data

Start at Closed at Duration
09 Aug 2025
05:11:23
09 Aug 2025
05:20:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1384 0.1369 0.1407 1.53 0.0866
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 0.1384
  • Stop Loss: 0.1369
  • Take Profit: 0.1407

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1369 - 0.1384 = -0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1384 - 0.1407 = -0.0023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0023 / -0.0015 = 1.5333

📌 Position Size

Amount Margin Quantity Leverage
736.565 100 5320.8484 7.37
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 -0.0015

Taille de position = 8 / -0.0015 = -5333.33

Taille de position USD = -5333.33 x 0.1384 = -738.13

Donc, tu peux acheter -5333.33 avec un stoploss a 0.1369

Avec un position size USD de -738.13$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5333.33 x -0.0015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5333.33 x -0.0023 = 12.27

Si Take Profit atteint, tu gagneras 12.27$

Résumé

  • Taille de position -5333.33
  • Taille de position USD -738.13
  • Perte potentielle 8
  • Gain potentiel 12.27
  • Risk-Reward Ratio 1.5333

📌 Peformances

TP % Target TP $ Target
1.66 % 12.24 $
SL % Target SL $ Target
1.08 % 7.98 $
PNL PNL %
12.24 $ 1.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 0.1414
            [stop_loss] => 0.1369
            [rr_ratio] => 2
            [closed_at] => 2025-08-09 06:35:00
            [result] => loss
        )

    [2.5] => Array
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            [take_profit] => 0.14215
            [stop_loss] => 0.1369
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-09 06:35:00
            [result] => loss
        )

    [3] => Array
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            [take_profit] => 0.1429
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            [rr_ratio] => 3
            [closed_at] => 2025-08-09 06:35:00
            [result] => loss
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            [rr_ratio] => 3.5
            [closed_at] => 2025-08-09 06:35:00
            [result] => loss
        )

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            [rr_ratio] => 4
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            [result] => loss
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    [4.5] => Array
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            [result] => loss
        )

    [5] => Array
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            [stop_loss] => 0.1369
            [rr_ratio] => 5
            [closed_at] => 2025-08-09 06:35:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 0.14665
            [stop_loss] => 0.1369
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-09 06:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1474
            [stop_loss] => 0.1369
            [rr_ratio] => 6
            [closed_at] => 2025-08-09 06:35:00
            [result] => loss
        )

    [6.5] => Array
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            [rr_ratio] => 6.5
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            [result] => loss
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    [7] => Array
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            [stop_loss] => 0.1369
            [rr_ratio] => 7
            [closed_at] => 2025-08-09 06:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00272
            [max_drawdown] => 0.00239
            [rr_ratio] => 1.14
            [high] => 0.14112000
            [low] => 0.13601000
            [mfe_pct] => 1.97
            [mae_pct] => 1.73
            [mfe_mae_ratio] => 1.14
            [candles_analyzed] => 24
            [start_at] => 2025-08-09T05:11:23-04:00
            [end_at] => 2025-08-09T07:11:23-04:00
        )

    [long_term] => Array
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            [max_gain] => 0.00272
            [max_drawdown] => 0.00616
            [rr_ratio] => 0.44
            [high] => 0.14112000
            [low] => 0.13224000
            [mfe_pct] => 1.97
            [mae_pct] => 4.45
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 84
            [start_at] => 2025-08-09T05:11:23-04:00
            [end_at] => 2025-08-09T12:11:23-04:00
        )

    [breakout] => Array
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            [high_before] => 0.14524000
            [high_after] => 0.14112000
            [low_before] => 0.13726000
            [low_after] => 0.13224000
            [is_new_high] => 
            [is_new_low] => 
        )

)