Trade

sell - MOODENG

Status
win
2025-08-25 07:52:43
1 hour
PNL
0.96
Entry: 0.1452
Last: 0.14380000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.5722
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
0 0.87
Prediction 3 Probability
0 0.78
ML Trade Score: 100
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0006199644994
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 0.146645
  4. ema21 - 0.149286
  5. ema50 - 0.151688
  6. ema100 - 0.151804
  7. price_ema9_diff - -0.00972271
  8. ema9_ema21_diff - -0.0176877
  9. ema21_ema50_diff - -0.0158364
  10. price_ema100_diff - -0.0433779
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.378828
  14. adx - 0.232778
  15. kc_percentage - 0.170159
  16. kc_width_percentage - 0.0814968
  17. volume_ema_diff - -0.299909
  18. volume_ema1 - 799553.0454751
  19. volume_ema2 - 1142071.6299564
  20. ¸
  21. 15m
  22. ema9 - 0.144052
  23. ema21 - 0.145174
  24. ema50 - 0.147576
  25. ema100 - 0.149183
  26. price_ema9_diff - 0.00810664
  27. ema9_ema21_diff - -0.00772814
  28. ema21_ema50_diff - -0.0162804
  29. price_ema100_diff - -0.0265703
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.445569
  33. adx - 0.350933
  34. kc_percentage - 0.534245
  35. kc_width_percentage - 0.0306358
  36. volume_ema_diff - -0.570171
  37. volume_ema1 - 117683.2505045
  38. volume_ema2 - 273790.87655305
  39. ¸
  40. 5m
  41. ema9 - 0.144116
  42. ema21 - 0.143903
  43. ema50 - 0.144759
  44. ema100 - 0.146619
  45. price_ema9_diff - 0.00765759
  46. ema9_ema21_diff - 0.00148304
  47. ema21_ema50_diff - -0.00591501
  48. price_ema100_diff - -0.00954799
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.638253
  52. adx - 0.328882
  53. kc_percentage - 1.04063
  54. kc_width_percentage - 0.0168855
  55. volume_ema_diff - -0.38546
  56. volume_ema1 - 39091.297930902
  57. volume_ema2 - 63610.70654466
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 111820
  62. 5m_price_ema100_diff: -0.0055495
  63. 5m_price: 111199
  64. 5m_correlation_with_coin: 0.697092
  65. btc_indicators
  66. 15m_ema100: 112845
  67. 15m_price_ema100_diff: -0.0151843
  68. 15m_price: 111131
  69. btc_indicators
  70. 1H_ema100: 113893
  71. 1H_price_ema100_diff: -0.0236513
  72. 1H_price: 111199
  73. ¸

Short Trade on MOODENG

The 25 Aug 2025 at 07:52:43

With 8602.6431 MOODENG at 0.1452$ per unit.

Position size of 1249.2758 $

Take profit at 0.1438 (0.96 %) and Stop Loss at 0.1461 (0.62 %)

That's a 1.56 RR Trade

📌 Similar Trades

Similar Trade Score: -42.73 %

Symbol Start at Seach Score Trade Score Trades Count
USELESS 2025-08-25 07:42:37 0.9576 -100 1
HYPER 2025-08-25 07:48:09 0.9389 -100 2
ATOM 2025-08-25 08:01:36 0.9317 -100 1
GRASS 2025-08-25 08:12:27 0.9276 -100 1
SKL 2025-08-16 07:21:32 0.9254 -10 3
NXPC 2025-06-05 08:18:27 0.9171 -100 1
ZK 2025-06-05 08:07:48 0.9164 -100 1
BCH 2025-04-07 06:20:11 0.9153 40 1
THETA 2025-08-25 07:35:52 0.9148 40 1
AIO 2025-08-19 00:06:56 0.9144 30 1
SYRUP 2025-08-25 07:54:43 0.9143 30 1

📌 Time Data

Start at Closed at Duration
25 Aug 2025
07:52:43
25 Aug 2025
09:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1452 0.1461 0.1438 1.56 0.139
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 0.1452
  • Stop Loss: 0.1461
  • Take Profit: 0.1438

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1461 - 0.1452 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1452 - 0.1438 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.00090000000000001 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
1249.2758 100 8602.6431 12.49
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 0.1452 = 1290.67

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1461

Avec un position size USD de 1290.67$

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 0.0014 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1290.67
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.96 % 12.04 $
SL % Target SL $ Target
0.62 % 7.74 $
PNL PNL %
12.05 $ 0.96
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1434
            [stop_loss] => 0.1461
            [rr_ratio] => 2
            [closed_at] => 2025-08-25 09:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.14295
            [stop_loss] => 0.1461
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-25 09:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1425
            [stop_loss] => 0.1461
            [rr_ratio] => 3
            [closed_at] => 2025-08-25 11:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.14205
            [stop_loss] => 0.1461
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-25 12:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1416
            [stop_loss] => 0.1461
            [rr_ratio] => 4
            [closed_at] => 2025-08-25 12:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.14115
            [stop_loss] => 0.1461
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-25 13:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1407
            [stop_loss] => 0.1461
            [rr_ratio] => 5
            [closed_at] => 2025-08-25 13:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00248
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.14518000
            [low] => 0.14272000
            [mfe_pct] => 1.71
            [mae_pct] => -0.01
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-25T07:52:43-04:00
            [end_at] => 2025-08-25T09:52:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00459
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.14518000
            [low] => 0.14061000
            [mfe_pct] => 3.16
            [mae_pct] => -0.01
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-25T07:52:43-04:00
            [end_at] => 2025-08-25T14:52:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14674000
            [high_after] => 0.14518000
            [low_before] => 0.14225000
            [low_after] => 0.14061000
            [is_new_high] => 
            [is_new_low] => 1
        )

)