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Trade

buy - ZRO

Status
win
2025-06-24 00:17:39
2 minutes
PNL
0.78
Entry: 1.791
Last: 1.80500000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.178
Prediction 1 Accuracy
Weak Trade
0.56
Prediction 2 Accuracy
0 0.61
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.006103153385
Details
  1. score: 2.12
  2. 1H
  3. ema9 - 1.77247
  4. ema21 - 1.71523
  5. ema50 - 1.67186
  6. ema100 - 1.68167
  7. price_ema9_diff - 0.0104527
  8. ema9_ema21_diff - 0.0333704
  9. ema21_ema50_diff - 0.0259425
  10. price_ema100_diff - 0.0650123
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.671694
  14. kc_percentage - 1.05933
  15. kc_width_percentage - 0.0721526
  16. volume_ema_diff - -0.451282
  17. volume_ema1 - 153125.75984354
  18. volume_ema2 - 279061.23714257
    19. ¸
  19. 15m
  20. ema9 - 1.8024
  21. ema21 - 1.79364
  22. ema50 - 1.74704
  23. ema100 - 1.69925
  24. price_ema9_diff - -0.00632683
  25. ema9_ema21_diff - 0.00488408
  26. ema21_ema50_diff - 0.0266749
  27. price_ema100_diff - 0.0539887
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.539724
  31. kc_percentage - 0.418233
  32. kc_width_percentage - 0.0280792
  33. volume_ema_diff - -0.661337
  34. volume_ema1 - 22595.353637987
  35. volume_ema2 - 66719.434030426
    36. ¸
  36. 5m
  37. ema9 - 1.80074
  38. ema21 - 1.80552
  39. ema50 - 1.80159
  40. ema100 - 1.77746
  41. price_ema9_diff - -0.00541229
  42. ema9_ema21_diff - -0.00264812
  43. ema21_ema50_diff - 0.00218336
  44. price_ema100_diff - 0.00761267
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.365598
  48. kc_percentage - -0.118093
  49. kc_width_percentage - 0.0129021
  50. volume_ema_diff - -0.510967
  51. volume_ema1 - 8332.3320082568
  52. volume_ema2 - 17038.391641109
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 104615
  56. 5m_price_ema100_diff: 0.000548864
  57. 5m_price: 104672
  58. 5m_correlation_with_coin: 0.716915
  59. btc_indicators
  60. 15m_ema100: 103170
  61. 15m_price_ema100_diff: 0.0145591
  62. 15m_price: 104672
  63. btc_indicators
  64. 1H_ema100: 102876
  65. 1H_price_ema100_diff: 0.0174614
  66. 1H_price: 104672
    67. ¸

Long Trade on ZRO

The 24 Jun 2025 at 00:17:39

With 873.9 ZRO at 1.791$ per unit.

Position size of 1565 $

Take profit at 1.805 (0.78 %) and Stop Loss at 1.782 (0.5 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: 36.43 %

Symbol Start at Seach Score Trade Score Trades Count
WCT 2025-06-24 00:11:22 0.9836 -35 2
APT 2025-06-24 00:24:32 0.9798 45 2
ENA 2025-04-23 03:41:57 0.9774 100 1
SAND 2025-06-24 00:14:18 0.9753 50 1
JTO 2025-06-15 16:37:15 0.9741 -1.43 7
TIA 2025-06-24 00:35:57 0.974 60 1

📌 Time Data

Start at Closed at Duration
24 Jun 2025
00:17:39		 24 Jun 2025
00:20:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.791 1.782 1.805 1.6 1.77
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 1.791
  • Stop Loss: 1.782
  • Take Profit: 1.805

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.782 - 1.791 = -0.0089999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.791 - 1.805 = -0.014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.014 / -0.0089999999999999 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
1565 100 873.9 15.65
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 -0.0089999999999999

Taille de position = 8 / -0.0089999999999999 = -888.89

Taille de position USD = -888.89 x 1.791 = -1592

Donc, tu peux acheter -888.89 avec un stoploss a 1.782

Avec un position size USD de -1592$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -888.89 x -0.0089999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -888.89 x -0.014 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

  • Taille de position -888.89
  • Taille de position USD -1592
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.78 % 12 $
SL % Target SL $ Target
0.5 % 7.9 $
PNL PNL %
12 $ 0.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.809
            [stop_loss] => 1.782
            [rr_ratio] => 2
            [closed_at] => 2025-06-24 01:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.8135
            [stop_loss] => 1.782
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-24 01:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.818
            [stop_loss] => 1.782
            [rr_ratio] => 3
            [closed_at] => 2025-06-24 01:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.8225
            [stop_loss] => 1.782
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-24 01:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.827
            [stop_loss] => 1.782
            [rr_ratio] => 4
            [closed_at] => 2025-06-24 01:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.8315
            [stop_loss] => 1.782
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-24 01:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.836
            [stop_loss] => 1.782
            [rr_ratio] => 5
            [closed_at] => 2025-06-24 01:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.8405
            [stop_loss] => 1.782
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-24 01:35:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.845
            [stop_loss] => 1.782
            [rr_ratio] => 6
            [closed_at] => 2025-06-24 01:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.8495
            [stop_loss] => 1.782
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-24 01:55:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.854
            [stop_loss] => 1.782
            [rr_ratio] => 7
            [closed_at] => 2025-06-24 02:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)