Trade

buy - ZRO

Status
win
2025-07-10 06:04:01
25 minutes
PNL
0.47
Entry: 1.929
Last: 1.93800000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3104
Prediction 1 Accuracy
Weak Trade
0.61
Prediction 2 Accuracy
0 0.56
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.004073561149
Details
  1. score: 2.18
  2. 1H
  3. ema9 - 1.92732
  4. ema21 - 1.90136
  5. ema50 - 1.86126
  6. ema100 - 1.83243
  7. price_ema9_diff - 0.000869011
  8. ema9_ema21_diff - 0.0136536
  9. ema21_ema50_diff - 0.0215454
  10. price_ema100_diff - 0.0526991
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.614263
  14. kc_percentage - 0.780038
  15. kc_width_percentage - 0.0474339
  16. volume_ema_diff - -0.357391
  17. volume_ema1 - 141297.62177652
  18. volume_ema2 - 219881.44630754
  19. ¸
  20. 15m
  21. ema9 - 1.93767
  22. ema21 - 1.93527
  23. ema50 - 1.91828
  24. ema100 - 1.89292
  25. price_ema9_diff - -0.00447868
  26. ema9_ema21_diff - 0.00124313
  27. ema21_ema50_diff - 0.008855
  28. price_ema100_diff - 0.0190583
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.479951
  32. kc_percentage - 0.320577
  33. kc_width_percentage - 0.0193925
  34. volume_ema_diff - -0.831949
  35. volume_ema1 - 12299.436240069
  36. volume_ema2 - 73189.101255735
  37. ¸
  38. 5m
  39. ema9 - 1.93717
  40. ema21 - 1.93988
  41. ema50 - 1.93798
  42. ema100 - 1.92938
  43. price_ema9_diff - -0.00421978
  44. ema9_ema21_diff - -0.00139546
  45. ema21_ema50_diff - 0.000978542
  46. price_ema100_diff - -0.000198252
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.348643
  50. kc_percentage - -0.178795
  51. kc_width_percentage - 0.00824912
  52. volume_ema_diff - -0.706954
  53. volume_ema1 - 4194.6264808132
  54. volume_ema2 - 14313.899747401
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 111133
  59. 5m_price_ema100_diff: -0.00128835
  60. 5m_price: 110990
  61. 5m_correlation_with_coin: 0.286366
  62. btc_indicators
  63. 15m_ema100: 110439
  64. 15m_price_ema100_diff: 0.0049831
  65. 15m_price: 110990
  66. btc_indicators
  67. 1H_ema100: 109235
  68. 1H_price_ema100_diff: 0.0160631
  69. 1H_price: 110990
  70. ¸

Long Trade on ZRO

The 10 Jul 2025 at 06:04:01

With 1309 ZRO at 1.929$ per unit.

Position size of 2526 $

Take profit at 1.938 (0.47 %) and Stop Loss at 1.923 (0.31 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -64.17 %

Symbol Start at Seach Score Trade Score Trades Count
LPT 2025-07-10 05:58:11 0.9444 -30 2
TRX 2025-06-19 05:52:33 0.944 -53.33 3
TRX 2025-07-10 03:34:39 0.9404 -100 1
KAS 2025-04-22 11:42:16 0.9443 -60 1
RENDER 2025-07-10 06:04:52 0.9442 -100 1
LISTA 2025-06-23 21:10:08 0.942 30 2
SYRUP 2025-06-16 13:07:49 0.9377 -100 2
BGB 2025-07-10 06:04:24 0.938 -100 1

📌 Time Data

Start at Closed at Duration
10 Jul 2025
06:04:01
10 Jul 2025
06:30:00
25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.929 1.923 1.938 1.5 2.113
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 1.929
  • Stop Loss: 1.923
  • Take Profit: 1.938

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.923 - 1.929 = -0.006

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.929 - 1.938 = -0.0089999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0089999999999999 / -0.006 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2526 100 1309 25.26
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 -0.006

Taille de position = 8 / -0.006 = -1333.33

Taille de position USD = -1333.33 x 1.929 = -2571.99

Donc, tu peux acheter -1333.33 avec un stoploss a 1.923

Avec un position size USD de -2571.99$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1333.33 x -0.006 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1333.33 x -0.0089999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -1333.33
  • Taille de position USD -2571.99
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.47 % 12 $
SL % Target SL $ Target
0.31 % 7.9 $
PNL PNL %
12 $ 0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1555 % 50 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.941
            [stop_loss] => 1.923
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 06:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.944
            [stop_loss] => 1.923
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 06:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.947
            [stop_loss] => 1.923
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 06:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.95
            [stop_loss] => 1.923
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.953
            [stop_loss] => 1.923
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.956
            [stop_loss] => 1.923
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.959
            [stop_loss] => 1.923
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.962
            [stop_loss] => 1.923
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.965
            [stop_loss] => 1.923
            [rr_ratio] => 6
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.968
            [stop_loss] => 1.923
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.971
            [stop_loss] => 1.923
            [rr_ratio] => 7
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)