Trade

buy - ZRO

Status
win
2025-07-10 08:37:48
22 minutes
PNL
0.52
Entry: 1.921
Last: 1.93100000

Results

Status:
win
Trade Type:
buy
Prediction Score: 3.2333
Prediction 1 Accuracy
Strong Trade
0.78
Prediction 2 Accuracy
2 0.52
ML Trade Score: 80

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.004479847899
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 1.92981
  4. ema21 - 1.90737
  5. ema50 - 1.86716
  6. ema100 - 1.8372
  7. price_ema9_diff - -0.00456835
  8. ema9_ema21_diff - 0.0117628
  9. ema21_ema50_diff - 0.0215376
  10. price_ema100_diff - 0.0456082
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.569248
  14. kc_percentage - 0.625387
  15. kc_width_percentage - 0.0486326
  16. volume_ema_diff - -0.487017
  17. volume_ema1 - 104723.79208695
  18. volume_ema2 - 204147.04715128
  19. ¸
  20. 15m
  21. ema9 - 1.93169
  22. ema21 - 1.9343
  23. ema50 - 1.92403
  24. ema100 - 1.90295
  25. price_ema9_diff - -0.00553753
  26. ema9_ema21_diff - -0.00134833
  27. ema21_ema50_diff - 0.00533749
  28. price_ema100_diff - 0.0094836
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.410361
  32. kc_percentage - 0.133888
  33. kc_width_percentage - 0.0190161
  34. volume_ema_diff - -0.563433
  35. volume_ema1 - 23870.358778362
  36. volume_ema2 - 54677.506757452
  37. ¸
  38. 5m
  39. ema9 - 1.92567
  40. ema21 - 1.93123
  41. ema50 - 1.93519
  42. ema100 - 1.93485
  43. price_ema9_diff - -0.00243015
  44. ema9_ema21_diff - -0.00287534
  45. ema21_ema50_diff - -0.00204568
  46. price_ema100_diff - -0.00716266
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.38398
  50. kc_percentage - -0.0283515
  51. kc_width_percentage - 0.00978312
  52. volume_ema_diff - 0.490038
  53. volume_ema1 - 9923.7035369482
  54. volume_ema2 - 6660.031451618
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 111028
  59. 5m_price_ema100_diff: -0.00203098
  60. 5m_price: 110803
  61. 5m_correlation_with_coin: 0.456795
  62. btc_indicators
  63. 15m_ema100: 110586
  64. 15m_price_ema100_diff: 0.00198499
  65. 15m_price: 110805
  66. btc_indicators
  67. 1H_ema100: 109275
  68. 1H_price_ema100_diff: 0.0139796
  69. 1H_price: 110803
  70. ¸

Long Trade on ZRO

The 10 Jul 2025 at 08:37:48

With 1191 ZRO at 1.921$ per unit.

Position size of 2287 $

Take profit at 1.931 (0.52 %) and Stop Loss at 1.914 (0.36 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: 13.13 %

Symbol Start at Seach Score Trade Score Trades Count
ATOM 2025-06-24 00:14:05 0.9245 73.33 3
GALA 2025-06-24 00:18:37 0.9276 50 2
JUP 2025-07-10 08:36:58 0.9266 50 1
ZK 2025-06-03 16:28:37 0.9228 -13.33 3
AR 2025-05-02 06:27:34 0.9213 -35 2
SAND 2025-06-24 00:14:18 0.9213 50 1
LTC 2025-06-24 00:22:03 0.9213 30 1
FLOKI 2025-07-11 02:53:25 0.9185 -100 1

📌 Time Data

Start at Closed at Duration
10 Jul 2025
08:37:48
10 Jul 2025
09:00:00
22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.921 1.914 1.931 1.4 2.305
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 1.921
  • Stop Loss: 1.914
  • Take Profit: 1.931

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.914 - 1.921 = -0.0070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.921 - 1.931 = -0.01

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.01 / -0.0070000000000001 = 1.4286

📌 Position Size

Amount Margin Quantity Leverage
2287 100 1191 22.87
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 -0.0070000000000001

Taille de position = 8 / -0.0070000000000001 = -1142.86

Taille de position USD = -1142.86 x 1.921 = -2195.43

Donc, tu peux acheter -1142.86 avec un stoploss a 1.914

Avec un position size USD de -2195.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1142.86 x -0.0070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1142.86 x -0.01 = 11.43

Si Take Profit atteint, tu gagneras 11.43$

Résumé

  • Taille de position -1142.86
  • Taille de position USD -2195.43
  • Perte potentielle 8
  • Gain potentiel 11.43
  • Risk-Reward Ratio 1.4286

📌 Peformances

TP % Target TP $ Target
0.52 % 12 $
SL % Target SL $ Target
0.36 % 8.3 $
PNL PNL %
12 $ 0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.935
            [stop_loss] => 1.914
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 09:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.9385
            [stop_loss] => 1.914
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 09:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.942
            [stop_loss] => 1.914
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 09:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.9455
            [stop_loss] => 1.914
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 09:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.949
            [stop_loss] => 1.914
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 09:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.9525
            [stop_loss] => 1.914
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 10:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.956
            [stop_loss] => 1.914
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 10:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.9595
            [stop_loss] => 1.914
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 10:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.963
            [stop_loss] => 1.914
            [rr_ratio] => 6
            [closed_at] => 2025-07-10 10:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.9665
            [stop_loss] => 1.914
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-10 10:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.97
            [stop_loss] => 1.914
            [rr_ratio] => 7
            [closed_at] => 2025-07-10 10:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)