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Trade

buy - ZKJ

Status
win
2025-06-30 00:18:22
1 hour
PNL
1.12
Entry: 0.2141
Last: 0.21650000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.2185
Prediction 1 Accuracy
Weak Trade
0.63
Prediction 2 Accuracy
0 0.56
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.00106292
Details
  1. score: 2.04
  2. 1H
  3. ema9 - 0.216116
  4. ema21 - 0.213833
  5. ema50 - 0.210864
  6. ema100 - 0.20997
  7. price_ema9_diff - -0.00933192
  8. ema9_ema21_diff - 0.0106765
  9. ema21_ema50_diff - 0.0140801
  10. price_ema100_diff - 0.0196659
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.520795
  14. kc_percentage - 0.504373
  15. kc_width_percentage - 0.106642
  16. volume_ema_diff - -0.29417
  17. volume_ema1 - 301787.06900222
  18. volume_ema2 - 427563.64481812
    19. ¸
  19. 15m
  20. ema9 - 0.216199
  21. ema21 - 0.217009
  22. ema50 - 0.21555
  23. ema100 - 0.213355
  24. price_ema9_diff - -0.00971089
  25. ema9_ema21_diff - -0.00373331
  26. ema21_ema50_diff - 0.00676917
  27. price_ema100_diff - 0.00348734
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.427301
  31. kc_percentage - 0.183439
  32. kc_width_percentage - 0.0429014
  33. volume_ema_diff - -0.766599
  34. volume_ema1 - 28651.520581694
  35. volume_ema2 - 122756.63796565
    36. ¸
  36. 5m
  37. ema9 - 0.215445
  38. ema21 - 0.216337
  39. ema50 - 0.217306
  40. ema100 - 0.21793
  41. price_ema9_diff - -0.00624457
  42. ema9_ema21_diff - -0.00412514
  43. ema21_ema50_diff - -0.00445877
  44. price_ema100_diff - -0.0175779
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.340074
  48. kc_percentage - -0.0355865
  49. kc_width_percentage - 0.019077
  50. volume_ema_diff - -0.358785
  51. volume_ema1 - 17064.015468373
  52. volume_ema2 - 26612.031899093
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108207
  56. 5m_price_ema100_diff: 0.0022196
  57. 5m_price: 108447
  58. 5m_correlation_with_coin: -0.008942
  59. btc_indicators
  60. 15m_ema100: 107876
  61. 15m_price_ema100_diff: 0.00529161
  62. 15m_price: 108447
  63. btc_indicators
  64. 1H_ema100: 107520
  65. 1H_price_ema100_diff: 0.00861704
  66. 1H_price: 108447
    67. ¸

Long Trade on ZKJ

The 30 Jun 2025 at 00:18:22

With 5018 ZKJ at 0.2141$ per unit.

Position size of 1074 $

Take profit at 0.2165 (1.1 %) and Stop Loss at 0.2125 (0.75 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -12.08 %

Symbol Start at Seach Score Trade Score Trades Count
VIRTUAL 2025-04-26 07:42:38 0.9287 -56.67 3
FET 2025-04-17 22:10:47 0.9238 100 1
NOT 2025-04-25 11:47:22 0.9203 35 2
BGB 2025-06-25 06:59:33 0.9125 30 2
BOME 2025-05-13 21:36:18 0.9141 30 1
IO 2025-06-03 02:29:14 0.9119 -100 2
EGLD 2025-05-09 05:12:28 0.9107 -35 2
WLD 2025-04-30 21:44:20 0.9096 -100 1

📌 Time Data

Start at Closed at Duration
30 Jun 2025
00:18:22		 30 Jun 2025
02:10:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2141 0.2125 0.2165 1.5 0.1808
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 0.2141
  • Stop Loss: 0.2125
  • Take Profit: 0.2165

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2125 - 0.2141 = -0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2141 - 0.2165 = -0.0024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0024 / -0.0016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1074 100 5018 10.74
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 -0.0016

Taille de position = 8 / -0.0016 = -5000

Taille de position USD = -5000 x 0.2141 = -1070.5

Donc, tu peux acheter -5000 avec un stoploss a 0.2125

Avec un position size USD de -1070.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5000 x -0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5000 x -0.0024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -5000
  • Taille de position USD -1070.5
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.1 % 12 $
SL % Target SL $ Target
0.75 % 8 $
PNL PNL %
12 $ 1.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2335 % 31.25 % 10

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2173
            [stop_loss] => 0.2125
            [rr_ratio] => 2
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.2181
            [stop_loss] => 0.2125
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.2189
            [stop_loss] => 0.2125
            [rr_ratio] => 3
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.2197
            [stop_loss] => 0.2125
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.2205
            [stop_loss] => 0.2125
            [rr_ratio] => 4
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.2213
            [stop_loss] => 0.2125
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2221
            [stop_loss] => 0.2125
            [rr_ratio] => 5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.2229
            [stop_loss] => 0.2125
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2237
            [stop_loss] => 0.2125
            [rr_ratio] => 6
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.2245
            [stop_loss] => 0.2125
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2253
            [stop_loss] => 0.2125
            [rr_ratio] => 7
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)