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Trade

buy - WIF

Status
win
2025-06-09 10:00:10
29 minutes
PNL
1.40
Entry: 0.8971
Last: 0.90970000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.5031
Prediction 1 Accuracy
Weak Trade
0.7
Prediction 2 Accuracy
0 0.69
ML Trade Score: 110

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.005604349
Details
  1. score: 2.07
  2. 1H
  3. ema9 - 0.903646
  4. ema21 - 0.896597
  5. ema50 - 0.884516
  6. ema100 - 0.875489
  7. price_ema9_diff - -0.0072441
  8. ema9_ema21_diff - 0.00786144
  9. ema21_ema50_diff - 0.0136586
  10. price_ema100_diff - 0.0246835
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.51444
  14. kc_percentage - 0.499244
  15. kc_width_percentage - 0.0798483
  16. volume_ema_diff - 0.527565
    17. ¸
  17. 15m
  18. ema9 - 0.908395
  19. ema21 - 0.908477
  20. ema50 - 0.90154
  21. ema100 - 0.892172
  22. price_ema9_diff - -0.0124341
  23. ema9_ema21_diff - -9.01001E-5
  24. ema21_ema50_diff - 0.00769417
  25. price_ema100_diff - 0.00552307
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.430104
  29. kc_percentage - 0.210885
  30. kc_width_percentage - 0.0447745
  31. volume_ema_diff - 0.454577
    32. ¸
  32. 5m
  33. ema9 - 0.90461
  34. ema21 - 0.910222
  35. ema50 - 0.910577
  36. ema100 - 0.903903
  37. price_ema9_diff - -0.00830242
  38. ema9_ema21_diff - -0.00616597
  39. ema21_ema50_diff - -0.000389552
  40. price_ema100_diff - -0.00752693
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.356784
  44. kc_percentage - -0.0712555
  45. kc_width_percentage - 0.0251174
  46. volume_ema_diff - 0.36855
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 106741
  50. 5m_price_ema100_diff: 0.00258113
  51. 5m_price: 107016
  52. 5m_correlation_with_coin: 0.7213
  53. btc_indicators
  54. 15m_ema100: 106217
  55. 15m_price_ema100_diff: 0.00751888
  56. 15m_price: 107016
  57. btc_indicators
  58. 1H_ema100: 105322
  59. 1H_price_ema100_diff: 0.0160819
  60. 1H_price: 107016
    61. ¸

Long Trade on WIF

The 09 Jun 2025 at 10:00:10

With 951.6 WIF at 0.8971$ per unit.

Position size of 853.7 $

Take profit at 0.9097 (1.4 %) and Stop Loss at 0.8887 (0.94 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 2.96 %

Symbol Start at Seach Score Trade Score Trades Count
1000BONK 2025-06-09 09:52:48 0.9443 -50 3
NEAR 2025-06-09 09:53:18 0.9339 -53.33 3
SOL 2025-06-09 09:57:48 0.9357 30 1
CHILLGUY 2025-06-09 10:03:08 0.9297 50 2
ETH 2025-06-09 09:57:19 0.9306 40 1
BNB 2025-06-09 09:57:59 0.925 40 1
APT 2025-06-09 09:58:37 0.9225 40 1
POPCAT 2025-06-09 09:40:19 0.9143 -100 1
UNI 2025-06-09 09:58:10 0.9016 30 1

📌 Time Data

Start at Closed at Duration
09 Jun 2025
10:00:10		 09 Jun 2025
10:30:00		 29 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8971 0.8887 0.9097 1.5 0.8355
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 0.8971
  • Stop Loss: 0.8887
  • Take Profit: 0.9097

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8887 - 0.8971 = -0.0084

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8971 - 0.9097 = -0.0126

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0126 / -0.0084 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
853.7 100 951.6 8.54
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 -0.0084

Taille de position = 8 / -0.0084 = -952.38

Taille de position USD = -952.38 x 0.8971 = -854.38

Donc, tu peux acheter -952.38 avec un stoploss a 0.8887

Avec un position size USD de -854.38$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -952.38 x -0.0084 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -952.38 x -0.0126 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -952.38
  • Taille de position USD -854.38
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.4 % 12 $
SL % Target SL $ Target
0.94 % 8 $
PNL PNL %
12 $ 1.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7691 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.9139
            [stop_loss] => 0.8887
            [rr_ratio] => 2
            [closed_at] => 2025-06-09 10:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.9181
            [stop_loss] => 0.8887
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-09 11:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.9223
            [stop_loss] => 0.8887
            [rr_ratio] => 3
            [closed_at] => 2025-06-09 11:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.9265
            [stop_loss] => 0.8887
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-09 12:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.9307
            [stop_loss] => 0.8887
            [rr_ratio] => 4
            [closed_at] => 2025-06-09 12:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.9349
            [stop_loss] => 0.8887
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-09 12:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.9391
            [stop_loss] => 0.8887
            [rr_ratio] => 5
            [closed_at] => 2025-06-09 12:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.9433
            [stop_loss] => 0.8887
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-09 12:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)