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Trade

buy - CYBER

Status
win
2025-08-12 17:29:26
1 hour
PNL
3.78
Entry: 2.9141
Last: 3.02420000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.0963
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.74
ML Trade Score: 40
ML Pullback Score: 1.98

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.04892215519
Details
  1. score: 2.04
  2. 1H
  3. ema9 - 2.9866
  4. ema21 - 2.79448
  5. ema50 - 2.44057
  6. ema100 - 2.18668
  7. price_ema9_diff - -0.0242766
  8. ema9_ema21_diff - 0.0687507
  9. ema21_ema50_diff - 0.145011
  10. price_ema100_diff - 0.332656
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.565465
  14. adx - 0.534744
  15. kc_percentage - 0.600621
  16. kc_width_percentage - 0.348382
  17. volume_ema_diff - 0.0349656
  18. volume_ema1 - 10854826.902711
  19. volume_ema2 - 10488103.072367
    20. ¸
  20. 15m
  21. ema9 - 3.03065
  22. ema21 - 3.03485
  23. ema50 - 2.94599
  24. ema100 - 2.70507
  25. price_ema9_diff - -0.0384582
  26. ema9_ema21_diff - -0.00138596
  27. ema21_ema50_diff - 0.0301649
  28. price_ema100_diff - 0.0772702
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.449137
  32. adx - 0.164855
  33. kc_percentage - 0.0947426
  34. kc_width_percentage - 0.102595
  35. volume_ema_diff - -0.533072
  36. volume_ema1 - 1803527.4960116
  37. volume_ema2 - 3862544.547287
    38. ¸
  38. 5m
  39. ema9 - 2.99603
  40. ema21 - 3.02692
  41. ema50 - 3.03542
  42. ema100 - 3.02829
  43. price_ema9_diff - -0.0273485
  44. ema9_ema21_diff - -0.0102053
  45. ema21_ema50_diff - -0.00279913
  46. price_ema100_diff - -0.0377089
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.288395
  50. adx - 0.266659
  51. kc_percentage - -0.0412
  52. kc_width_percentage - 0.0707104
  53. volume_ema_diff - 0.866353
  54. volume_ema1 - 1938697.0486787
  55. volume_ema2 - 1038762.0616091
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 119585
  59. 5m_price_ema100_diff: 0.0038839
  60. 5m_price: 120049
  61. 5m_correlation_with_coin: -0.022153
  62. btc_indicators
  63. 15m_ema100: 119173
  64. 15m_price_ema100_diff: 0.00721293
  65. 15m_price: 120033
  66. btc_indicators
  67. 1H_ema100: 118654
  68. 1H_price_ema100_diff: 0.011757
  69. 1H_price: 120049
    70. ¸

Long Trade on CYBER

The 12 Aug 2025 at 17:29:26

With 109.0167 CYBER at 2.9141$ per unit.

Position size of 317.6856 $

Take profit at 3.0242 (3.78 %) and Stop Loss at 2.8407 (2.52 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 7.08 %

Symbol Start at Seach Score Trade Score Trades Count
ALT 2025-06-16 18:56:57 0.9375 30 1
MASK 2025-05-11 09:56:53 0.9018 40 1
UNI 2025-08-04 23:55:54 0.8846 -100 2
SXP 2025-04-12 20:10:48 0.893 40 1
BCH 2025-04-10 03:57:35 0.8913 30 1
SOL 2025-04-10 03:36:17 0.8784 -100 4
UXLINK 2025-08-09 10:08:13 0.875 30 1
LINK 2025-04-10 03:36:38 0.8716 86.67 3

📌 Time Data

Start at Closed at Duration
12 Aug 2025
17:29:26		 12 Aug 2025
18:35:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.9141 2.8407 3.0242 1.5 2.1868
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 2.9141
  • Stop Loss: 2.8407
  • Take Profit: 3.0242

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.8407 - 2.9141 = -0.0734

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.9141 - 3.0242 = -0.1101

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1101 / -0.0734 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
317.6856 100 109.0167 3.18
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 -0.0734

Taille de position = 8 / -0.0734 = -108.99

Taille de position USD = -108.99 x 2.9141 = -317.61

Donc, tu peux acheter -108.99 avec un stoploss a 2.8407

Avec un position size USD de -317.61$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -108.99 x -0.0734 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -108.99 x -0.1101 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -108.99
  • Taille de position USD -317.61
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
3.78 % 12 $
SL % Target SL $ Target
2.52 % 8 $
PNL PNL %
12 $ 3.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.1996 % 87.33 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.0609
            [stop_loss] => 2.8407
            [rr_ratio] => 2
            [closed_at] => 2025-08-12 20:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.0976
            [stop_loss] => 2.8407
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-12 21:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 3.1343
            [stop_loss] => 2.8407
            [rr_ratio] => 3
            [closed_at] => 2025-08-12 21:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 3.171
            [stop_loss] => 2.8407
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-12 21:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 3.2077
            [stop_loss] => 2.8407
            [rr_ratio] => 4
            [closed_at] => 2025-08-12 21:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 3.2444
            [stop_loss] => 2.8407
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-12 21:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 3.2811
            [stop_loss] => 2.8407
            [rr_ratio] => 5
            [closed_at] => 2025-08-12 21:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 3.3178
            [stop_loss] => 2.8407
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-12 21:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 3.3545
            [stop_loss] => 2.8407
            [rr_ratio] => 6
            [closed_at] => 2025-08-12 21:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 3.3912
            [stop_loss] => 2.8407
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-12 21:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 3.4279
            [stop_loss] => 2.8407
            [rr_ratio] => 7
            [closed_at] => 2025-08-12 21:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.1109
            [max_drawdown] => 0.0641
            [rr_ratio] => 1.73
            [high] => 3.02500000
            [low] => 2.85000000
            [mfe_pct] => 3.81
            [mae_pct] => 2.2
            [mfe_mae_ratio] => 1.73
            [candles_analyzed] => 24
            [start_at] => 2025-08-12T17:29:26-04:00
            [end_at] => 2025-08-12T19:29:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1481
            [max_drawdown] => 0.1502
            [rr_ratio] => 0.99
            [high] => 3.06220000
            [low] => 2.76390000
            [mfe_pct] => 5.08
            [mae_pct] => 5.15
            [mfe_mae_ratio] => 0.99
            [candles_analyzed] => 84
            [start_at] => 2025-08-12T17:29:26-04:00
            [end_at] => 2025-08-13T00:29:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.17990000
            [high_after] => 3.06220000
            [low_before] => 2.86770000
            [low_after] => 2.76390000
            [is_new_high] => 
            [is_new_low] => 
        )

)