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Trade

buy - GOAT

Status
win
2025-06-29 22:42:51
2 minutes
PNL
0.99
Entry: 0.1013
Last: 0.10230000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.0219
Prediction 1 Accuracy
Weak Trade
0.55
Prediction 2 Accuracy
0 0.42
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0004315783319
Details
  1. score: 2.05
  2. 1H
  3. ema9 - 0.101134
  4. ema21 - 0.0993952
  5. ema50 - 0.096855
  6. ema100 - 0.0947095
  7. price_ema9_diff - 0.00202725
  8. ema9_ema21_diff - 0.0175035
  9. ema21_ema50_diff - 0.0262262
  10. price_ema100_diff - 0.0700078
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.608386
  14. kc_percentage - 0.749211
  15. kc_width_percentage - 0.0723643
  16. volume_ema_diff - 0.401855
  17. volume_ema1 - 327064.2331367
  18. volume_ema2 - 233308.01012158
    19. ¸
  19. 15m
  20. ema9 - 0.102402
  21. ema21 - 0.102151
  22. ema50 - 0.100576
  23. ema100 - 0.099131
  24. price_ema9_diff - -0.0103798
  25. ema9_ema21_diff - 0.00245777
  26. ema21_ema50_diff - 0.0156666
  27. price_ema100_diff - 0.0222826
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.487391
  31. kc_percentage - 0.252086
  32. kc_width_percentage - 0.0345924
  33. volume_ema_diff - -0.298334
  34. volume_ema1 - 50421.395296577
  35. volume_ema2 - 71859.589307158
    36. ¸
  36. 5m
  37. ema9 - 0.101751
  38. ema21 - 0.102252
  39. ema50 - 0.102381
  40. ema100 - 0.101374
  41. price_ema9_diff - -0.00404842
  42. ema9_ema21_diff - -0.00489286
  43. ema21_ema50_diff - -0.00126322
  44. price_ema100_diff - -0.000341635
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.337824
  48. kc_percentage - -0.0525939
  49. kc_width_percentage - 0.0156891
  50. volume_ema_diff - 0.0877833
  51. volume_ema1 - 31746.081954256
  52. volume_ema2 - 29184.196844676
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108127
  56. 5m_price_ema100_diff: 0.00318356
  57. 5m_price: 108472
  58. 5m_correlation_with_coin: 0.368352
  59. btc_indicators
  60. 15m_ema100: 107809
  61. 15m_price_ema100_diff: 0.00712742
  62. 15m_price: 108578
  63. btc_indicators
  64. 1H_ema100: 107443
  65. 1H_price_ema100_diff: 0.00957169
  66. 1H_price: 108472
    67. ¸

Long Trade on GOAT

The 29 Jun 2025 at 22:42:51

With 12360 GOAT at 0.1013$ per unit.

Position size of 1252 $

Take profit at 0.1023 (0.99 %) and Stop Loss at 0.1007 (0.59 %)

That's a 1.7 RR Trade

📌 Similar Trades

Similar Trade Score: -88.18 %

Symbol Start at Seach Score Trade Score Trades Count
FLOKI 2025-06-29 22:39:05 0.9855 -100 1
AVAX 2025-06-29 22:46:11 0.9736 -100 2
DOT 2025-06-29 22:40:08 0.9737 -100 2
NEAR 2025-06-29 22:41:26 0.9688 -100 2
DOGE 2025-06-29 22:55:51 0.9681 -100 1
COMP 2025-04-05 11:01:29 0.9657 -100 1
PEPE 2025-06-29 22:39:25 0.964 -100 1
TIA 2025-06-29 22:40:21 0.9639 -100 1
LDO 2025-06-29 22:46:44 0.9636 -100 1
OP 2025-06-29 22:29:15 0.9636 -100 1
GPS 2025-06-08 09:32:22 0.9631 30 1

📌 Time Data

Start at Closed at Duration
29 Jun 2025
22:42:51		 29 Jun 2025
22:45:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1013 0.1007 0.1023 1.7 0.09621
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 0.1013
  • Stop Loss: 0.1007
  • Take Profit: 0.1023

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1007 - 0.1013 = -0.0006

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1013 - 0.1023 = -0.001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.001 / -0.0006 = 1.6667

📌 Position Size

Amount Margin Quantity Leverage
1252 100 12360 12.52
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 -0.0006

Taille de position = 8 / -0.0006 = -13333.33

Taille de position USD = -13333.33 x 0.1013 = -1350.67

Donc, tu peux acheter -13333.33 avec un stoploss a 0.1007

Avec un position size USD de -1350.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -13333.33 x -0.0006 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -13333.33 x -0.001 = 13.33

Si Take Profit atteint, tu gagneras 13.33$

Résumé

  • Taille de position -13333.33
  • Taille de position USD -1350.67
  • Perte potentielle 8
  • Gain potentiel 13.33
  • Risk-Reward Ratio 1.6667

📌 Peformances

TP % Target TP $ Target
0.99 % 12 $
SL % Target SL $ Target
0.59 % 7.4 $
PNL PNL %
12 $ 0.99
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1025
            [stop_loss] => 0.1007
            [rr_ratio] => 2
            [closed_at] => 2025-06-29 22:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1028
            [stop_loss] => 0.1007
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-30 00:25:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1031
            [stop_loss] => 0.1007
            [rr_ratio] => 3
            [closed_at] => 2025-06-30 00:25:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.1034
            [stop_loss] => 0.1007
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-30 00:25:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1037
            [stop_loss] => 0.1007
            [rr_ratio] => 4
            [closed_at] => 2025-06-30 00:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.104
            [stop_loss] => 0.1007
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-30 00:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1043
            [stop_loss] => 0.1007
            [rr_ratio] => 5
            [closed_at] => 2025-06-30 00:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1046
            [stop_loss] => 0.1007
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-30 00:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1049
            [stop_loss] => 0.1007
            [rr_ratio] => 6
            [closed_at] => 2025-06-30 00:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1052
            [stop_loss] => 0.1007
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-30 00:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1055
            [stop_loss] => 0.1007
            [rr_ratio] => 7
            [closed_at] => 2025-06-30 00:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)