Trade

sell - WIF

Status
win
2025-05-31 11:33:16
6 minutes
PNL
1.83
Entry: 0.8538
Last: 0.83820000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.5444
Prediction 1 Probability
Weak Trade
0.58
Prediction 2 Probability
1 0.49
Prediction 3 Probability
n/a
ML Trade Score: 40
ML Pullback Score: 2.81

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.006918857283
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 0.829125
  4. ema21 - 0.857662
  5. ema50 - 0.9309
  6. ema100 - 0.999106
  7. price_ema9_diff - 0.0297597
  8. ema9_ema21_diff - -0.0332727
  9. ema21_ema50_diff - -0.078675
  10. price_ema100_diff - -0.145436
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.43878
  14. kc_percentage - 0.491259
  15. kc_width_percentage - 0.121629
  16. ¸
  17. 15m
  18. ema9 - 0.836388
  19. ema21 - 0.826499
  20. ema50 - 0.833467
  21. ema100 - 0.864953
  22. price_ema9_diff - 0.0208177
  23. ema9_ema21_diff - 0.0119645
  24. ema21_ema50_diff - -0.00836052
  25. price_ema100_diff - -0.0128953
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.657697
  29. kc_percentage - 1.01499
  30. kc_width_percentage - 0.0612233
  31. ¸
  32. 5m
  33. ema9 - 0.843751
  34. ema21 - 0.837451
  35. ema50 - 0.827058
  36. ema100 - 0.820723
  37. price_ema9_diff - 0.0119096
  38. ema9_ema21_diff - 0.00752279
  39. ema21_ema50_diff - 0.0125657
  40. price_ema100_diff - 0.0403017
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.694095
  44. kc_percentage - 1.07989
  45. kc_width_percentage - 0.0320307
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 103928
  50. 5m_price_ema100_diff: 0.00771324
  51. 5m_price: 104729
  52. 5m_correlation_with_coin: 0.686491
  53. btc_indicators
  54. 15m_ema100: 104096
  55. 15m_price_ema100_diff: 0.00608559
  56. 15m_price: 104729
  57. btc_indicators
  58. 1H_ema100: 106189
  59. 1H_price_ema100_diff: -0.0137427
  60. 1H_price: 104729
  61. ¸

Short Trade on WIF

The 31 May 2025 at 11:33:16

With 770.8402 WIF at 0.8538$ per unit.

Position size of 658.1434 $

Take profit at 0.8382 (1.83 %) and Stop Loss at 0.8642 (1.22 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -53 %

Symbol Start at Seach Score Trade Score Trades Count
FRAG 2025-08-02 22:03:23 0.9331 30 1
STX 2025-07-29 02:51:53 0.9243 -100 3
SAND 2025-07-29 02:24:57 0.9217 -100 2
HIPPO 2025-05-31 00:56:14 0.9257 -100 1
ARC 2025-03-26 22:55:07 0.9248 80 1
SAHARA 2025-07-29 20:05:08 0.9233 -100 1
KILO 2025-04-29 23:20:38 0.9174 30 1
SEI 2025-07-29 01:52:57 0.9166 -100 2
POL 2025-07-29 01:49:41 0.9165 -100 1
AVAX 2025-03-28 18:55:01 0.9163 -70 1

📌 Time Data

Start at Closed at Duration
31 May 2025
11:33:16
31 May 2025
11:40:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8538 0.8642 0.8382 1.5 0.8961
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 0.8538
  • Stop Loss: 0.8642
  • Take Profit: 0.8382

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8642 - 0.8538 = 0.0104

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8538 - 0.8382 = 0.0156

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0156 / 0.0104 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
658.1434 100 770.8402 6.58
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 0.0104

Taille de position = 8 / 0.0104 = 769.23

Taille de position USD = 769.23 x 0.8538 = 656.77

Donc, tu peux acheter 769.23 avec un stoploss a 0.8642

Avec un position size USD de 656.77$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 769.23 x 0.0104 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 769.23 x 0.0156 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 769.23
  • Taille de position USD 656.77
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.83 % 12.03 $
SL % Target SL $ Target
1.22 % 8.02 $
PNL PNL %
12.03 $ 1.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 0.833
            [stop_loss] => 0.8642
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 11:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.8278
            [stop_loss] => 0.8642
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 15:25:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.8226
            [stop_loss] => 0.8642
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 15:25:00
            [result] => loss
        )

    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 15:25:00
            [result] => loss
        )

    [4] => Array
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            [take_profit] => 0.8122
            [stop_loss] => 0.8642
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 15:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.807
            [stop_loss] => 0.8642
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 15:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.8018
            [stop_loss] => 0.8642
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 15:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.7966
            [stop_loss] => 0.8642
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-31 15:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.7914
            [stop_loss] => 0.8642
            [rr_ratio] => 6
            [closed_at] => 2025-05-31 15:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.7862
            [stop_loss] => 0.8642
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-31 15:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.781
            [stop_loss] => 0.8642
            [rr_ratio] => 7
            [closed_at] => 2025-05-31 15:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0231
            [max_drawdown] => 0.0089
            [rr_ratio] => 2.6
            [high] => 0.86270000
            [low] => 0.83070000
            [mfe_pct] => 2.71
            [mae_pct] => 1.04
            [mfe_mae_ratio] => 2.6
            [candles_analyzed] => 24
            [start_at] => 2025-05-31T11:33:16-04:00
            [end_at] => 2025-05-31T13:33:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0231
            [max_drawdown] => 0.019
            [rr_ratio] => 1.22
            [high] => 0.87280000
            [low] => 0.83070000
            [mfe_pct] => 2.71
            [mae_pct] => 2.23
            [mfe_mae_ratio] => 1.22
            [candles_analyzed] => 72
            [start_at] => 2025-05-31T11:33:16-04:00
            [end_at] => 2025-05-31T17:33:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.85600000
            [high_after] => 0.87280000
            [low_before] => 0.78720000
            [low_after] => 0.83070000
            [is_new_high] => 
            [is_new_low] => 
        )

)