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Trade

buy - CYBER

Status
loss
2025-07-16 07:17:17
22 minutes
PNL
-0.81
Entry: 1.7265
Last: 1.71200000

Results

Status:
loss
Trade Type:
buy
Prediction Score: -0.4286
Prediction 1 Accuracy
Weak Trade
0.53
Prediction 2 Accuracy
0 0.52
ML Trade Score: -100
ML Pullback Score: 0.9

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.009584280954
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 1.73874
  4. ema21 - 1.69591
  5. ema50 - 1.63706
  6. ema100 - 1.59628
  7. price_ema9_diff - -0.00704503
  8. ema9_ema21_diff - 0.0252581
  9. ema21_ema50_diff - 0.0359464
  10. price_ema100_diff - 0.0815761
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.585252
  14. kc_percentage - 0.638534
  15. kc_width_percentage - 0.113912
  16. volume_ema_diff - -0.0288193
  17. volume_ema1 - 176440.79733996
  18. volume_ema2 - 181676.60147585
    19. ¸
  19. 15m
  20. ema9 - 1.74319
  21. ema21 - 1.75168
  22. ema50 - 1.72769
  23. ema100 - 1.67853
  24. price_ema9_diff - -0.00957594
  25. ema9_ema21_diff - -0.00485074
  26. ema21_ema50_diff - 0.0138894
  27. price_ema100_diff - 0.0285761
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.418515
  31. kc_percentage - 0.201058
  32. kc_width_percentage - 0.0489107
  33. volume_ema_diff - -0.640113
  34. volume_ema1 - 21790.630237946
  35. volume_ema2 - 60548.558745807
    36. ¸
  36. 5m
  37. ema9 - 1.73349
  38. ema21 - 1.74447
  39. ema50 - 1.75637
  40. ema100 - 1.75912
  41. price_ema9_diff - -0.00403714
  42. ema9_ema21_diff - -0.00628984
  43. ema21_ema50_diff - -0.00677879
  44. price_ema100_diff - -0.0185463
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.333656
  48. kc_percentage - -0.00711126
  49. kc_width_percentage - 0.0196657
  50. volume_ema_diff - -0.595831
  51. volume_ema1 - 6885.2436066051
  52. volume_ema2 - 17035.562754023
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 118358
  56. 5m_price_ema100_diff: 0.00377759
  57. 5m_price: 118805
  58. 5m_correlation_with_coin: 0.117167
  59. btc_indicators
  60. 15m_ema100: 117779
  61. 15m_price_ema100_diff: 0.00871496
  62. 15m_price: 118805
  63. btc_indicators
  64. 1H_ema100: 118313
  65. 1H_price_ema100_diff: 0.00416264
  66. 1H_price: 118805
    67. ¸

Long Trade on CYBER

The 16 Jul 2025 at 07:17:17

With 556.4667 CYBER at 1.7265$ per unit.

Position size of 960.7398 $

Take profit at 1.7481 (1.25 %) and Stop Loss at 1.7121 (0.83 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -46 %

Symbol Start at Seach Score Trade Score Trades Count
BROCCOLIF3B 2025-04-20 10:37:41 0.9658 -100 2
TRX 2025-05-20 11:10:52 0.9649 40 3
TRX 2025-03-31 20:44:04 0.9641 -100 5
TON 2025-04-12 19:56:02 0.9631 30 2
LISTA 2025-06-02 23:36:50 0.9619 -100 1

📌 Time Data

Start at Closed at Duration
16 Jul 2025
07:17:17		 16 Jul 2025
07:40:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.7265 1.7121 1.7481 1.5 1.6754
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 1.7265
  • Stop Loss: 1.7121
  • Take Profit: 1.7481

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.7121 - 1.7265 = -0.0144

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.7265 - 1.7481 = -0.0216

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0216 / -0.0144 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
960.7398 100 556.4667 9.61
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 -0.0144

Taille de position = 8 / -0.0144 = -555.56

Taille de position USD = -555.56 x 1.7265 = -959.17

Donc, tu peux acheter -555.56 avec un stoploss a 1.7121

Avec un position size USD de -959.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -555.56 x -0.0144 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -555.56 x -0.0216 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -555.56
  • Taille de position USD -959.17
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.25 % 12.02 $
SL % Target SL $ Target
0.83 % 8.01 $
PNL PNL %
-7.79 $ -0.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.124 % 138.58 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.748
            [entry_price] => 1.726
            [stop_loss] => 1.7106
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-07-16 07:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.748
            [entry_price] => 1.726
            [stop_loss] => 1.7092
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-07-16 07:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.748
            [entry_price] => 1.726
            [stop_loss] => 1.7078
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-07-16 07:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.748
            [entry_price] => 1.726
            [stop_loss] => 1.705
            [rr_ratio] => 1.05
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-07-16 08:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0095000000000001
            [max_drawdown] => 0.033
            [rr_ratio] => 0.29
            [high] => 1.73600000
            [low] => 1.69350000
            [mfe_pct] => 0.55
            [mae_pct] => 1.91
            [mfe_mae_ratio] => 0.29
            [candles_analyzed] => 24
            [start_at] => 2025-07-16T07:17:17-04:00
            [end_at] => 2025-07-16T09:17:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0371
            [max_drawdown] => 0.033
            [rr_ratio] => 1.12
            [high] => 1.76360000
            [low] => 1.69350000
            [mfe_pct] => 2.15
            [mae_pct] => 1.91
            [mfe_mae_ratio] => 1.12
            [candles_analyzed] => 72
            [start_at] => 2025-07-16T07:17:17-04:00
            [end_at] => 2025-07-16T13:17:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.88150000
            [high_after] => 1.76360000
            [low_before] => 1.72290000
            [low_after] => 1.69350000
            [is_new_high] => 
            [is_new_low] => 
        )

)