Trade

sell - GOAT

Status
win
2025-06-12 10:54:10
20 minutes
PNL
0.99
Entry: 0.1209
Last: 0.11970000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.5732
Prediction 1 Accuracy
Strong Trade
0.58
Prediction 2 Accuracy
2 0.38
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.00057354643
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 0.119922
  4. ema21 - 0.122972
  5. ema50 - 0.126689
  6. ema100 - 0.126732
  7. price_ema9_diff - 0.00857112
  8. ema9_ema21_diff - -0.0248045
  9. ema21_ema50_diff - -0.0293365
  10. price_ema100_diff - -0.0456282
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.399416
  14. kc_percentage - 0.322987
  15. kc_width_percentage - 0.0830892
  16. volume_ema_diff - -0.191021
  17. ¸
  18. 15m
  19. ema9 - 0.119564
  20. ema21 - 0.119249
  21. ema50 - 0.120715
  22. ema100 - 0.124227
  23. price_ema9_diff - 0.0115906
  24. ema9_ema21_diff - 0.00264076
  25. ema21_ema50_diff - -0.0121444
  26. price_ema100_diff - -0.0263794
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.586486
  30. kc_percentage - 0.884111
  31. kc_width_percentage - 0.0368633
  32. volume_ema_diff - -0.348428
  33. ¸
  34. 5m
  35. ema9 - 0.120404
  36. ema21 - 0.119633
  37. ema50 - 0.119118
  38. ema100 - 0.119359
  39. price_ema9_diff - 0.00452803
  40. ema9_ema21_diff - 0.00644323
  41. ema21_ema50_diff - 0.00432454
  42. price_ema100_diff - 0.0133293
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.702743
  46. kc_percentage - 1.07075
  47. kc_width_percentage - 0.0183855
  48. volume_ema_diff - -0.256056
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 107352
  53. 5m_price_ema100_diff: 0.00242406
  54. 5m_price: 107612
  55. 5m_correlation_with_coin: 0.676391
  56. btc_indicators
  57. 15m_ema100: 108101
  58. 15m_price_ema100_diff: -0.00422081
  59. 15m_price: 107645
  60. btc_indicators
  61. 1H_ema100: 108030
  62. 1H_price_ema100_diff: -0.00386527
  63. 1H_price: 107612
  64. ¸

Short Trade on GOAT

The 12 Jun 2025 at 10:54:10

With 9299 GOAT at 0.1209$ per unit.

Position size of 1125 $

Take profit at 0.1197 (0.99 %) and Stop Loss at 0.1218 (0.74 %)

That's a 1.3 RR Trade

📌 Similar Trades

Similar Trade Score: 45.63 %

Symbol Start at Seach Score Trade Score Trades Count
BB 2025-06-12 10:52:53 0.974 80 1
IO 2025-06-12 10:45:42 0.9589 70 3
1000BONK 2025-06-12 10:48:58 0.9584 65 2
POPCAT 2025-06-12 10:50:38 0.9455 70 2
TURBO 2025-06-12 10:51:35 0.9465 60 1
GALA 2025-06-12 10:50:01 0.9452 60 1
BROCCOLIF3B 2025-05-15 07:23:02 0.944 -100 1
FLOKI 2025-06-12 10:51:16 0.9437 60 1

📌 Time Data

Start at Closed at Duration
12 Jun 2025
10:54:10
12 Jun 2025
11:15:00
20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1209 0.1218 0.1197 1.3 0.1045
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 0.1209
  • Stop Loss: 0.1218
  • Take Profit: 0.1197

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1218 - 0.1209 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1209 - 0.1197 = 0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0012 / 0.00090000000000001 = 1.3333

📌 Position Size

Amount Margin Quantity Leverage
1125 100 9299 11.25
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 0.00090000000000001

Taille de position = 8 / 0.00090000000000001 = 8888.89

Taille de position USD = 8888.89 x 0.1209 = 1074.67

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1218

Avec un position size USD de 1074.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0012 = 10.67

Si Take Profit atteint, tu gagneras 10.67$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1074.67
  • Perte potentielle 8
  • Gain potentiel 10.67
  • Risk-Reward Ratio 1.3333

📌 Peformances

TP % Target TP $ Target
0.99 % 11 $
SL % Target SL $ Target
0.74 % 8.4 $
PNL PNL %
11 $ 0.99
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1075 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1191
            [stop_loss] => 0.1218
            [rr_ratio] => 2
            [closed_at] => 2025-06-12 11:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.11865
            [stop_loss] => 0.1218
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-12 11:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1182
            [stop_loss] => 0.1218
            [rr_ratio] => 3
            [closed_at] => 2025-06-12 11:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.11775
            [stop_loss] => 0.1218
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-12 11:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1173
            [stop_loss] => 0.1218
            [rr_ratio] => 4
            [closed_at] => 2025-06-12 11:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.11685
            [stop_loss] => 0.1218
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-12 11:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1164
            [stop_loss] => 0.1218
            [rr_ratio] => 5
            [closed_at] => 2025-06-12 11:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.11595
            [stop_loss] => 0.1218
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-12 11:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1155
            [stop_loss] => 0.1218
            [rr_ratio] => 6
            [closed_at] => 2025-06-12 11:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.11505
            [stop_loss] => 0.1218
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-12 11:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1146
            [stop_loss] => 0.1218
            [rr_ratio] => 7
            [closed_at] => 2025-06-12 11:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)