Trade

sell - 1000000MOG

Status
win
2025-08-11 22:44:30
20 minutes
PNL
1.09
Entry: 1.4001
Last: 1.38490000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.7
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.87
Prediction 3 Probability
0 0.75
ML Trade Score: 100
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.006742671068
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 1.38102
  4. ema21 - 1.40629
  5. ema50 - 1.43316
  6. ema100 - 1.41908
  7. price_ema9_diff - 0.0138096
  8. ema9_ema21_diff - -0.0179679
  9. ema21_ema50_diff - -0.0187496
  10. price_ema100_diff - -0.0133771
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.465403
  14. adx - 0.212853
  15. kc_percentage - 0.468718
  16. kc_width_percentage - 0.0963488
  17. volume_ema_diff - -0.322852
  18. volume_ema1 - 508768.65070315
  19. volume_ema2 - 751341.08890013
  20. ¸
  21. 15m
  22. ema9 - 1.38058
  23. ema21 - 1.37337
  24. ema50 - 1.38787
  25. ema100 - 1.42223
  26. price_ema9_diff - 0.0141323
  27. ema9_ema21_diff - 0.00525224
  28. ema21_ema50_diff - -0.0104465
  29. price_ema100_diff - -0.0155663
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.638165
  33. adx - 0.254034
  34. kc_percentage - 0.995102
  35. kc_width_percentage - 0.0385387
  36. volume_ema_diff - -0.417552
  37. volume_ema1 - 89289.314386355
  38. volume_ema2 - 153300.21900211
  39. ¸
  40. 5m
  41. ema9 - 1.39225
  42. ema21 - 1.38328
  43. ema50 - 1.37318
  44. ema100 - 1.37347
  45. price_ema9_diff - 0.00563257
  46. ema9_ema21_diff - 0.00649024
  47. ema21_ema50_diff - 0.00735297
  48. price_ema100_diff - 0.0193854
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.675048
  52. adx - 0.314309
  53. kc_percentage - 1.11589
  54. kc_width_percentage - 0.0187747
  55. volume_ema_diff - -0.572708
  56. volume_ema1 - 19253.9438967
  57. volume_ema2 - 45060.419761883
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 118982
  62. 5m_price_ema100_diff: 0.00118242
  63. 5m_price: 119122
  64. 5m_correlation_with_coin: 0.760799
  65. btc_indicators
  66. 15m_ema100: 119721
  67. 15m_price_ema100_diff: -0.00483675
  68. 15m_price: 119142
  69. btc_indicators
  70. 1H_ema100: 118557
  71. 1H_price_ema100_diff: 0.00476857
  72. 1H_price: 119122
  73. ¸

Short Trade on 1000000MOG

The 11 Aug 2025 at 22:44:30

With 790.9823 1000000MOG at 1.4001$ per unit.

Position size of 1107.4543 $

Take profit at 1.3849 (1.09 %) and Stop Loss at 1.4102 (0.72 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 46.67 %

Symbol Start at Seach Score Trade Score Trades Count
IMX 2025-08-11 22:40:54 0.9696 70 1
STRK 2025-08-11 22:43:23 0.9586 60 1
EIGEN 2025-08-11 22:48:43 0.945 40 2
AVAX 2025-08-11 22:38:58 0.9243 30 1
ACH 2025-08-11 22:41:41 0.9228 60 1
CELO 2025-08-11 22:41:23 0.9202 30 1
NEAR 2025-08-11 22:39:28 0.9183 30 1
COMP 2025-08-11 22:40:45 0.9183 30 1
GALA 2025-08-11 22:39:13 0.9164 60 1
PEPE 2025-08-11 22:42:37 0.9158 50 1
METIS 2025-08-11 22:43:40 0.9153 40 1
ZIL 2025-08-11 22:48:46 0.9095 60 1

📌 Time Data

Start at Closed at Duration
11 Aug 2025
22:44:30
11 Aug 2025
23:05:00
20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.4001 1.4102 1.3849 1.5 1.1358
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 1.4001
  • Stop Loss: 1.4102
  • Take Profit: 1.3849

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.4102 - 1.4001 = 0.0101

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.4001 - 1.3849 = 0.0152

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0152 / 0.0101 = 1.505

📌 Position Size

Amount Margin Quantity Leverage
1107.4543 100 790.9823 11.07
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 0.0101

Taille de position = 8 / 0.0101 = 792.08

Taille de position USD = 792.08 x 1.4001 = 1108.99

Donc, tu peux acheter 792.08 avec un stoploss a 1.4102

Avec un position size USD de 1108.99$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 792.08 x 0.0101 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 792.08 x 0.0152 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

  • Taille de position 792.08
  • Taille de position USD 1108.99
  • Perte potentielle 8
  • Gain potentiel 12.04
  • Risk-Reward Ratio 1.505

📌 Peformances

TP % Target TP $ Target
1.09 % 12.02 $
SL % Target SL $ Target
0.72 % 7.99 $
PNL PNL %
12.02 $ 1.09
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1 % 13.86 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.3799
            [stop_loss] => 1.4102
            [rr_ratio] => 2
            [closed_at] => 2025-08-11 23:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.37485
            [stop_loss] => 1.4102
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-11 23:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.3698
            [stop_loss] => 1.4102
            [rr_ratio] => 3
            [closed_at] => 2025-08-11 23:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.36475
            [stop_loss] => 1.4102
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-12 01:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.3597
            [stop_loss] => 1.4102
            [rr_ratio] => 4
            [closed_at] => 2025-08-12 01:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.35465
            [stop_loss] => 1.4102
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.3496
            [stop_loss] => 1.4102
            [rr_ratio] => 5
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0349
            [max_drawdown] => 0.0047000000000001
            [rr_ratio] => 7.43
            [high] => 1.40480000
            [low] => 1.36520000
            [mfe_pct] => 2.49
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 7.43
            [candles_analyzed] => 24
            [start_at] => 2025-08-11T22:44:30-04:00
            [end_at] => 2025-08-12T00:44:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0528
            [max_drawdown] => 0.0047000000000001
            [rr_ratio] => 11.23
            [high] => 1.40480000
            [low] => 1.34730000
            [mfe_pct] => 3.77
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 11.23
            [candles_analyzed] => 84
            [start_at] => 2025-08-11T22:44:30-04:00
            [end_at] => 2025-08-12T05:44:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.40360000
            [high_after] => 1.40480000
            [low_before] => 1.33980000
            [low_after] => 1.34730000
            [is_new_high] => 
            [is_new_low] => 
        )

)