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Trade

sell - MOODENG

Status
win
2025-05-30 14:30:01
3 hours
PNL
2.11
Entry: 0.213
Last: 0.20850000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.53
Prediction 1 Accuracy
Strong Trade
0.52
Prediction 2 Accuracy
1 0.41
ML Trade Score: 140
ML Pullback Score: 7.86

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.002001977362
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.211453
  4. ema21 - 0.217405
  5. ema50 - 0.228351
  6. ema100 - 0.237693
  7. price_ema9_diff - 0.00721758
  8. ema9_ema21_diff - -0.0273745
  9. ema21_ema50_diff - -0.0479346
  10. price_ema100_diff - -0.103972
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.41886
  14. kc_percentage - 0.368653
  15. kc_width_percentage - 0.140844
    16. ¸
  16. 15m
  17. ema9 - 0.208441
  18. ema21 - 0.209818
  19. ema50 - 0.213466
  20. ema100 - 0.218706
  21. price_ema9_diff - 0.0217718
  22. ema9_ema21_diff - -0.00656268
  23. ema21_ema50_diff - -0.0170894
  24. price_ema100_diff - -0.0261845
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.543178
  28. kc_percentage - 0.711367
  29. kc_width_percentage - 0.0732516
    30. ¸
  30. 5m
  31. ema9 - 0.209147
  32. ema21 - 0.208063
  33. ema50 - 0.209221
  34. ema100 - 0.211144
  35. price_ema9_diff - 0.0183223
  36. ema9_ema21_diff - 0.00521079
  37. ema21_ema50_diff - -0.00553314
  38. price_ema100_diff - 0.00869377
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.66418
  42. kc_percentage - 1.12397
  43. kc_width_percentage - 0.0369333
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 104994
  47. 5m_price_ema100_diff: -0.0041309
  48. 5m_price: 104560
  49. 5m_correlation_with_coin: 0.674828
  50. btc_indicators
  51. 15m_ema100: 105516
  52. 15m_price_ema100_diff: -0.00906463
  53. 15m_price: 104560
  54. btc_indicators
  55. 1H_ema100: 107413
  56. 1H_price_ema100_diff: -0.0265641
  57. 1H_price: 104560
    58. ¸

Short Trade on MOODENG

The 30 May 2025 at 14:30:01

With 2664.0328 MOODENG at 0.213$ per unit.

Position size of 567.3857 $

Take profit at 0.2085 (2.11 %) and Stop Loss at 0.216 (1.41 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -21 %

Symbol Start at Seach Score Trade Score Trades Count
GRIFFAIN 2025-05-30 14:35:02 0.9427 -100 2
BOME 2025-05-30 14:28:20 0.9293 30 1
SOL 2025-05-30 14:26:38 0.9256 40 1
LINK 2025-05-30 14:26:16 0.915 -100 1
EIGEN 2025-05-30 14:29:53 0.915 30 1
RENDER 2025-05-30 14:36:59 0.8982 30 3
SHIB 2025-05-30 14:51:24 0.8978 -100 2
X 2025-03-26 20:45:27 0.9014 -100 1
INIT 2025-04-27 14:16:17 0.8952 30 1
AIOT 2025-06-01 01:02:15 0.8949 30 1

📌 Time Data

Start at Closed at Duration
30 May 2025
14:30:01		 30 May 2025
18:25:00		 3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.213 0.216 0.2085 1.5 0.2382
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 0.213
  • Stop Loss: 0.216
  • Take Profit: 0.2085

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.216 - 0.213 = 0.003

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.213 - 0.2085 = 0.0045

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0045 / 0.003 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
567.3857 100 2664.0328 5.67
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 0.003

Taille de position = 8 / 0.003 = 2666.67

Taille de position USD = 2666.67 x 0.213 = 568

Donc, tu peux acheter 2666.67 avec un stoploss a 0.216

Avec un position size USD de 568$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2666.67 x 0.003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2666.67 x 0.0045 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2666.67
  • Taille de position USD 568
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.11 % 11.99 $
SL % Target SL $ Target
1.41 % 7.99 $
PNL PNL %
11.99 $ 2.11
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.69014084507042 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.207
            [stop_loss] => 0.216
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 18:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2055
            [stop_loss] => 0.216
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.204
            [stop_loss] => 0.216
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2025
            [stop_loss] => 0.216
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 18:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.201
            [stop_loss] => 0.216
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 18:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1995
            [stop_loss] => 0.216
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 19:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.198
            [stop_loss] => 0.216
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 19:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1965
            [stop_loss] => 0.216
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 19:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.195
            [stop_loss] => 0.216
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 20:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1935
            [stop_loss] => 0.216
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 20:15:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.192
            [stop_loss] => 0.216
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 20:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00343
            [max_drawdown] => 0.00147
            [rr_ratio] => 2.33
            [high] => 0.21447000
            [low] => 0.20957000
            [mfe_pct] => 1.61
            [mae_pct] => 0.69
            [mfe_mae_ratio] => 2.33
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T14:30:01-04:00
            [end_at] => 2025-05-30T16:30:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.02226
            [max_drawdown] => 0.00147
            [rr_ratio] => 15.14
            [high] => 0.21447000
            [low] => 0.19074000
            [mfe_pct] => 10.45
            [mae_pct] => 0.69
            [mfe_mae_ratio] => 15.14
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T14:30:01-04:00
            [end_at] => 2025-05-30T20:30:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.21682000
            [high_after] => 0.21447000
            [low_before] => 0.19601000
            [low_after] => 0.19074000
            [is_new_high] => 
            [is_new_low] => 1
        )

)