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Trade

buy - MOODENG

Status
win
2025-05-18 08:07:27
12 minutes
PNL
4.35
Entry: 0.2484
Last: 0.25920000

Results

Status:
win
Trade Type:
buy
Prediction Score: -4.4098
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.54
Prediction 3 Probability
n/a
ML Trade Score: 120
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.004771490935
Details
  1. score: 2.1
  2. 1H
  3. ema9 - 0.244233
  4. ema21 - 0.223884
  5. ema50 - 0.213695
  6. ema100 - 0.220277
  7. price_ema9_diff - 0.0171826
  8. ema9_ema21_diff - 0.0908908
  9. ema21_ema50_diff - 0.0476769
  10. price_ema100_diff - 0.127807
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.638492
  14. kc_percentage - 0.885111
  15. kc_width_percentage - 0.245083
    16. ¸
  16. 15m
  17. ema9 - 0.259013
  18. ema21 - 0.254502
  19. ema50 - 0.235994
  20. ema100 - 0.217366
  21. price_ema9_diff - -0.0408609
  22. ema9_ema21_diff - 0.0177238
  23. ema21_ema50_diff - 0.0784283
  24. price_ema100_diff - 0.142905
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.481047
  28. kc_percentage - 0.30505
  29. kc_width_percentage - 0.138347
    30. ¸
  30. 5m
  31. ema9 - 0.257168
  32. ema21 - 0.25994
  33. ema50 - 0.257633
  34. ema100 - 0.247333
  35. price_ema9_diff - -0.0339797
  36. ema9_ema21_diff - -0.0106629
  37. ema21_ema50_diff - 0.00895171
  38. price_ema100_diff - 0.00443143
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.316398
  42. kc_percentage - -0.0983264
  43. kc_width_percentage - 0.0767859
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103670
  47. 5m_price_ema100_diff: 0.000120432
  48. 5m_price: 103682
  49. 5m_correlation_with_coin: 0.43486
  50. btc_indicators
  51. 15m_ema100: 103338
  52. 15m_price_ema100_diff: 0.00332692
  53. 15m_price: 103682
  54. btc_indicators
  55. 1H_ema100: 103359
  56. 1H_price_ema100_diff: 0.00312105
  57. 1H_price: 103682
    58. ¸

Long Trade on MOODENG

The 18 May 2025 at 08:07:27

With 1117.7499 MOODENG at 0.2484$ per unit.

Position size of 277.6826 $

Take profit at 0.2592 (4.35 %) and Stop Loss at 0.2413 (2.86 %)

That's a 1.52 RR Trade

📌 Similar Trades

Similar Trade Score: -21.5 %

Symbol Start at Seach Score Trade Score Trades Count
MKR 2025-03-27 03:34:21 0.984 -100 3
MKR 2025-06-09 23:46:27 0.9769 30 1
ADA 2025-06-10 00:15:21 0.9768 -100 1
XION 2025-07-27 21:18:29 0.9766 40 1
ETC 2025-06-10 00:26:15 0.9741 -100 2
SKL 2025-08-14 08:36:32 0.9754 30 1
COOKIE 2025-07-10 20:39:03 0.975 90 1
PEPE 2025-03-26 10:09:53 0.9738 -35 2
ENA 2025-06-07 13:49:32 0.9737 30 1
OP 2025-06-09 23:57:25 0.9719 -100 1

📌 Time Data

Start at Closed at Duration
18 May 2025
08:07:27		 18 May 2025
08:20:00		 12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2484 0.2413 0.2592 1.52 0.1579
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 0.2484
  • Stop Loss: 0.2413
  • Take Profit: 0.2592

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2413 - 0.2484 = -0.0071

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2484 - 0.2592 = -0.0108

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0108 / -0.0071 = 1.5211

📌 Position Size

Amount Margin Quantity Leverage
277.6826 100 1117.7499 2.78
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 -0.0071

Taille de position = 8 / -0.0071 = -1126.76

Taille de position USD = -1126.76 x 0.2484 = -279.89

Donc, tu peux acheter -1126.76 avec un stoploss a 0.2413

Avec un position size USD de -279.89$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1126.76 x -0.0071 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1126.76 x -0.0108 = 12.17

Si Take Profit atteint, tu gagneras 12.17$

Résumé

  • Taille de position -1126.76
  • Taille de position USD -279.89
  • Perte potentielle 8
  • Gain potentiel 12.17
  • Risk-Reward Ratio 1.5211

📌 Peformances

TP % Target TP $ Target
4.35 % 12.07 $
SL % Target SL $ Target
2.86 % 7.94 $
PNL PNL %
12.07 $ 4.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2626
            [stop_loss] => 0.2413
            [rr_ratio] => 2
            [closed_at] => 2025-05-18 09:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.26615
            [stop_loss] => 0.2413
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-18 09:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2697
            [stop_loss] => 0.2413
            [rr_ratio] => 3
            [closed_at] => 2025-05-18 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.27325
            [stop_loss] => 0.2413
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-18 09:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2768
            [stop_loss] => 0.2413
            [rr_ratio] => 4
            [closed_at] => 2025-05-18 10:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.28035
            [stop_loss] => 0.2413
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-18 11:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2839
            [stop_loss] => 0.2413
            [rr_ratio] => 5
            [closed_at] => 2025-05-18 11:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.28745
            [stop_loss] => 0.2413
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-18 11:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.291
            [stop_loss] => 0.2413
            [rr_ratio] => 6
            [closed_at] => 2025-05-18 11:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.02875
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.27715000
            [low] => 0.24930000
            [mfe_pct] => 11.57
            [mae_pct] => -0.36
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-18T08:07:27-04:00
            [end_at] => 2025-05-18T10:07:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.04371
            [max_drawdown] => 0.00396
            [rr_ratio] => 11.04
            [high] => 0.29211000
            [low] => 0.24444000
            [mfe_pct] => 17.6
            [mae_pct] => 1.59
            [mfe_mae_ratio] => 11.04
            [candles_analyzed] => 72
            [start_at] => 2025-05-18T08:07:27-04:00
            [end_at] => 2025-05-18T14:07:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27993000
            [high_after] => 0.29211000
            [low_before] => 0.24654000
            [low_after] => 0.24444000
            [is_new_high] => 1
            [is_new_low] => 
        )

)