Trade

sell - MASK

Status
win
2025-07-22 11:20:48
9 minutes
PNL
0.85
Entry: 1.536
Last: 1.52300000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.5318
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.4
Prediction 3 Probability
n/a
ML Trade Score: 30
ML Pullback Score: 2.85

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0058555562
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 1.52857
  4. ema21 - 1.53626
  5. ema50 - 1.54084
  6. ema100 - 1.52757
  7. price_ema9_diff - 0.00485934
  8. ema9_ema21_diff - -0.00500524
  9. ema21_ema50_diff - -0.00297197
  10. price_ema100_diff - 0.0055145
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.488807
  14. kc_percentage - 0.503636
  15. kc_width_percentage - 0.0611955
  16. volume_ema_diff - -0.468742
  17. volume_ema1 - 140685.25016308
  18. volume_ema2 - 264815.5606237
  19. ¸
  20. 15m
  21. ema9 - 1.52566
  22. ema21 - 1.52532
  23. ema50 - 1.53058
  24. ema100 - 1.54409
  25. price_ema9_diff - 0.00677538
  26. ema9_ema21_diff - 0.000222052
  27. ema21_ema50_diff - -0.00343816
  28. price_ema100_diff - -0.00524413
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.558377
  32. kc_percentage - 0.760031
  33. kc_width_percentage - 0.0268368
  34. volume_ema_diff - -0.368173
  35. volume_ema1 - 33653.731693261
  36. volume_ema2 - 53264.184696524
  37. ¸
  38. 5m
  39. ema9 - 1.52774
  40. ema21 - 1.52343
  41. ema50 - 1.5235
  42. ema100 - 1.52561
  43. price_ema9_diff - 0.00540219
  44. ema9_ema21_diff - 0.00283122
  45. ema21_ema50_diff - -4.76134E-5
  46. price_ema100_diff - 0.00680936
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.634047
  50. kc_percentage - 1.05356
  51. kc_width_percentage - 0.0146433
  52. volume_ema_diff - -0.259924
  53. volume_ema1 - 10560.787684271
  54. volume_ema2 - 14269.878068343
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 118667
  59. 5m_price_ema100_diff: 0.00391178
  60. 5m_price: 119131
  61. 5m_correlation_with_coin: 0.724294
  62. btc_indicators
  63. 15m_ema100: 118240
  64. 15m_price_ema100_diff: 0.00756496
  65. 15m_price: 119135
  66. btc_indicators
  67. 1H_ema100: 118214
  68. 1H_price_ema100_diff: 0.00776472
  69. 1H_price: 119131
  70. ¸

Short Trade on MASK

The 22 Jul 2025 at 11:20:48

With 910.8158 MASK at 1.536$ per unit.

Position size of 1399.0131 $

Take profit at 1.5228 (0.86 %) and Stop Loss at 1.5448 (0.57 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -49.5 %

Symbol Start at Seach Score Trade Score Trades Count
BCH 2025-06-28 21:35:25 0.897 -100 2
AIOT 2025-06-01 10:05:51 0.8875 -100 2
AERO 2025-07-07 23:30:09 0.8878 -100 2
MUBARAK 2025-03-29 11:24:12 0.8794 -60 1
CRV 2025-07-29 21:45:33 0.8788 -100 1
CTSI 2025-08-21 22:28:17 0.8785 30 1
GIGA 2025-06-13 08:17:28 0.8782 30 1
TAO 2025-05-24 05:01:53 0.8779 -100 1
BNB 2025-06-06 03:27:20 0.8777 -35 2
ARB 2025-06-13 08:13:40 0.8768 40 1

📌 Time Data

Start at Closed at Duration
22 Jul 2025
11:20:48
22 Jul 2025
11:30:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.536 1.5448 1.5228 1.5 1.286
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 1.536
  • Stop Loss: 1.5448
  • Take Profit: 1.5228

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.5448 - 1.536 = 0.0087999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.536 - 1.5228 = 0.0132

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0132 / 0.0087999999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1399.0131 100 910.8158 13.99
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 0.0087999999999999

Taille de position = 8 / 0.0087999999999999 = 909.09

Taille de position USD = 909.09 x 1.536 = 1396.36

Donc, tu peux acheter 909.09 avec un stoploss a 1.5448

Avec un position size USD de 1396.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 909.09 x 0.0087999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 909.09 x 0.0132 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 909.09
  • Taille de position USD 1396.36
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.86 % 12.02 $
SL % Target SL $ Target
0.57 % 8.02 $
PNL PNL %
11.84 $ 0.85
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] => 1.518
            [stop_loss] => 1.545
            [rr_ratio] => 2
            [closed_at] => 2025-07-22 12:15:00
            [result] => loss
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    [2.5] => Array
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            [take_profit] => 1.5135
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            [rr_ratio] => 2.5
            [closed_at] => 2025-07-22 12:15:00
            [result] => loss
        )

    [3] => Array
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            [take_profit] => 1.509
            [stop_loss] => 1.545
            [rr_ratio] => 3
            [closed_at] => 2025-07-22 12:15:00
            [result] => loss
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    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-07-22 12:15:00
            [result] => loss
        )

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

    [5] => Array
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            [take_profit] => 1.491
            [stop_loss] => 1.545
            [rr_ratio] => 5
            [closed_at] => 2025-07-22 12:15:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 1.4865
            [stop_loss] => 1.545
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-22 12:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.482
            [stop_loss] => 1.545
            [rr_ratio] => 6
            [closed_at] => 2025-07-22 12:15:00
            [result] => loss
        )

    [6.5] => Array
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            [take_profit] => 1.4775
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            [rr_ratio] => 6.5
            [closed_at] => 2025-07-22 12:15:00
            [result] => loss
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    [7] => Array
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            [stop_loss] => 1.545
            [rr_ratio] => 7
            [closed_at] => 2025-07-22 12:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
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            [max_gain] => 0.024
            [max_drawdown] => 0.012
            [rr_ratio] => 2
            [high] => 1.54800000
            [low] => 1.51200000
            [mfe_pct] => 1.56
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 2
            [candles_analyzed] => 24
            [start_at] => 2025-07-22T11:20:48-04:00
            [end_at] => 2025-07-22T13:20:48-04:00
        )

    [long_term] => Array
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            [max_gain] => 0.025
            [max_drawdown] => 0.012
            [rr_ratio] => 2.08
            [high] => 1.54800000
            [low] => 1.51100000
            [mfe_pct] => 1.63
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 2.08
            [candles_analyzed] => 72
            [start_at] => 2025-07-22T11:20:48-04:00
            [end_at] => 2025-07-22T17:20:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.53700000
            [high_after] => 1.54800000
            [low_before] => 1.49800000
            [low_after] => 1.51100000
            [is_new_high] => 
            [is_new_low] => 
        )

)