Trade

sell - 1000000MOG

Status
win
2025-07-31 23:33:18
26 minutes
PNL
1.39
Entry: 1.306
Last: 1.28780000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.1167
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.66
Prediction 3 Probability
1 0.56
ML Trade Score: 110
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.008083149911
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 1.31163
  4. ema21 - 1.35501
  5. ema50 - 1.40173
  6. ema100 - 1.46017
  7. price_ema9_diff - -0.00429854
  8. ema9_ema21_diff - -0.0320152
  9. ema21_ema50_diff - -0.0333301
  10. price_ema100_diff - -0.105589
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.35825
  14. adx - 0.366297
  15. kc_percentage - 0.154828
  16. kc_width_percentage - 0.102969
  17. volume_ema_diff - 0.0388829
  18. volume_ema1 - 526323.12437358
  19. volume_ema2 - 506624.10410191
  20. ¸
  21. 15m
  22. ema9 - 1.29109
  23. ema21 - 1.29323
  24. ema50 - 1.32842
  25. ema100 - 1.37239
  26. price_ema9_diff - 0.0115452
  27. ema9_ema21_diff - -0.00165358
  28. ema21_ema50_diff - -0.0264914
  29. price_ema100_diff - -0.0483776
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.53312
  33. adx - 0.450475
  34. kc_percentage - 0.717714
  35. kc_width_percentage - 0.0479745
  36. volume_ema_diff - -0.423559
  37. volume_ema1 - 83965.593381236
  38. volume_ema2 - 145662.17797917
  39. ¸
  40. 5m
  41. ema9 - 1.2981
  42. ema21 - 1.28973
  43. ema50 - 1.28766
  44. ema100 - 1.30258
  45. price_ema9_diff - 0.00607834
  46. ema9_ema21_diff - 0.0064928
  47. ema21_ema50_diff - 0.00161078
  48. price_ema100_diff - 0.00262505
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.676714
  52. adx - 0.227
  53. kc_percentage - 1.02333
  54. kc_width_percentage - 0.0230591
  55. volume_ema_diff - -0.520027
  56. volume_ema1 - 24561.987997068
  57. volume_ema2 - 51173.714357919
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 115973
  62. 5m_price_ema100_diff: -0.000256593
  63. 5m_price: 115943
  64. 5m_correlation_with_coin: 0.759866
  65. btc_indicators
  66. 15m_ema100: 117113
  67. 15m_price_ema100_diff: -0.00999073
  68. 15m_price: 115943
  69. btc_indicators
  70. 1H_ema100: 117909
  71. 1H_price_ema100_diff: -0.0166721
  72. 1H_price: 115943
  73. ¸

Short Trade on 1000000MOG

The 31 Jul 2025 at 23:33:18

With 659.8088 1000000MOG at 1.306$ per unit.

Position size of 861.7103 $

Take profit at 1.2878 (1.39 %) and Stop Loss at 1.3181 (0.93 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 22 %

Symbol Start at Seach Score Trade Score Trades Count
AAVE 2025-05-06 11:27:37 0.9857 0 4
BANANA 2025-07-31 23:25:37 0.984 50 1
INJ 2025-05-31 01:46:33 0.9838 30 1
OM 2025-07-31 23:32:20 0.983 30 1
PARTI 2025-07-31 23:31:34 0.9799 30 2
NEAR 2025-05-31 01:45:38 0.9807 30 1
WAL 2025-07-31 23:27:53 0.9795 30 1
REZ 2025-07-31 23:25:17 0.979 -100 1
LISTA 2025-07-31 22:56:03 0.9789 30 1
DOT 2025-07-04 16:31:43 0.9775 90 1

📌 Time Data

Start at Closed at Duration
31 Jul 2025
23:33:18
01 Aug 2025
00:00:00
26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.306 1.3181 1.2878 1.5 1.1296
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 1.306
  • Stop Loss: 1.3181
  • Take Profit: 1.2878

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.3181 - 1.306 = 0.0121

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.306 - 1.2878 = 0.0182

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0182 / 0.0121 = 1.5041

📌 Position Size

Amount Margin Quantity Leverage
861.7103 100 659.8088 8.62
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 0.0121

Taille de position = 8 / 0.0121 = 661.16

Taille de position USD = 661.16 x 1.306 = 863.47

Donc, tu peux acheter 661.16 avec un stoploss a 1.3181

Avec un position size USD de 863.47$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 661.16 x 0.0121 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 661.16 x 0.0182 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

  • Taille de position 661.16
  • Taille de position USD 863.47
  • Perte potentielle 8
  • Gain potentiel 12.03
  • Risk-Reward Ratio 1.5041

📌 Peformances

TP % Target TP $ Target
1.39 % 12.01 $
SL % Target SL $ Target
0.93 % 7.98 $
PNL PNL %
12.01 $ 1.39
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1149 % 12.4 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.2818
            [stop_loss] => 1.3181
            [rr_ratio] => 2
            [closed_at] => 2025-08-01 00:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.27575
            [stop_loss] => 1.3181
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-01 01:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.2697
            [stop_loss] => 1.3181
            [rr_ratio] => 3
            [closed_at] => 2025-08-01 01:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.26365
            [stop_loss] => 1.3181
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-01 02:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.2576
            [stop_loss] => 1.3181
            [rr_ratio] => 4
            [closed_at] => 2025-08-01 04:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.25155
            [stop_loss] => 1.3181
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-01 04:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.2455
            [stop_loss] => 1.3181
            [rr_ratio] => 5
            [closed_at] => 2025-08-01 04:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.23945
            [stop_loss] => 1.3181
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-01 04:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0367
            [max_drawdown] => 0.0015000000000001
            [rr_ratio] => 24.47
            [high] => 1.30750000
            [low] => 1.26930000
            [mfe_pct] => 2.81
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 24.47
            [candles_analyzed] => 24
            [start_at] => 2025-07-31T23:33:18-04:00
            [end_at] => 2025-08-01T01:33:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.069
            [max_drawdown] => 0.0015000000000001
            [rr_ratio] => 46
            [high] => 1.30750000
            [low] => 1.23700000
            [mfe_pct] => 5.28
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 46
            [candles_analyzed] => 84
            [start_at] => 2025-07-31T23:33:18-04:00
            [end_at] => 2025-08-01T06:33:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.30850000
            [high_after] => 1.30750000
            [low_before] => 1.23700000
            [low_after] => 1.23700000
            [is_new_high] => 
            [is_new_low] => 
        )

)