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Trade

buy - MOODENG

Status
win
2025-06-09 15:48:39
1 hour
PNL
1.03
Entry: 0.203
Last: 0.20510000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3045
Prediction 1 Accuracy
Weak Trade
0.55
Prediction 2 Accuracy
0 0.59
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0009183841234
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.203434
  4. ema21 - 0.202505
  5. ema50 - 0.200667
  6. ema100 - 0.198047
  7. price_ema9_diff - -0.0019869
  8. ema9_ema21_diff - 0.00458482
  9. ema21_ema50_diff - 0.00915934
  10. price_ema100_diff - 0.0251576
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.518043
  14. kc_percentage - 0.527743
  15. kc_width_percentage - 0.0813364
  16. volume_ema_diff - -0.129407
    17. ¸
  17. 15m
  18. ema9 - 0.204469
  19. ema21 - 0.20443
  20. ema50 - 0.203689
  21. ema100 - 0.203133
  22. price_ema9_diff - -0.00703808
  23. ema9_ema21_diff - 0.000190769
  24. ema21_ema50_diff - 0.00363382
  25. price_ema100_diff - -0.000507169
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.453477
  29. kc_percentage - 0.298024
  30. kc_width_percentage - 0.0346316
  31. volume_ema_diff - -0.468798
    32. ¸
  32. 5m
  33. ema9 - 0.204453
  34. ema21 - 0.204826
  35. ema50 - 0.204769
  36. ema100 - 0.204653
  37. price_ema9_diff - -0.0069624
  38. ema9_ema21_diff - -0.00182243
  39. ema21_ema50_diff - 0.000280265
  40. price_ema100_diff - -0.00793177
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.364084
  44. kc_percentage - -0.00894707
  45. kc_width_percentage - 0.0172805
  46. volume_ema_diff - 0.0637561
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 107960
  50. 5m_price_ema100_diff: 0.00380784
  51. 5m_price: 108371
  52. 5m_correlation_with_coin: 0.718184
  53. btc_indicators
  54. 15m_ema100: 106978
  55. 15m_price_ema100_diff: 0.0130214
  56. 15m_price: 108371
  57. btc_indicators
  58. 1H_ema100: 105381
  59. 1H_price_ema100_diff: 0.0283723
  60. 1H_price: 108371
    61. ¸

Long Trade on MOODENG

The 09 Jun 2025 at 15:48:39

With 5807 MOODENG at 0.203$ per unit.

Position size of 1179 $

Take profit at 0.2051 (1 %) and Stop Loss at 0.2017 (0.64 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: 0 %

Symbol Start at Seach Score Trade Score Trades Count
SHIB 2025-06-09 15:45:49 0.9415 30 1
FLOKI 2025-06-09 15:46:51 0.9392 30 1
BRETT 2025-06-09 15:48:00 0.9156 40 1
ONDO 2025-06-09 15:47:42 0.8937 30 1
ONDO 2025-04-12 19:21:11 0.8687 -60 1
WAL 2025-04-27 17:54:51 0.882 40 2
ARB 2025-06-09 15:46:33 0.8816 30 1
KAITO 2025-05-08 03:41:51 0.8721 -100 2
GRASS 2025-06-04 21:50:01 0.8708 30 1
GORK 2025-07-04 16:18:27 0.8686 30 1
RARE 2025-06-26 18:16:48 0.8678 -100 2

📌 Time Data

Start at Closed at Duration
09 Jun 2025
15:48:39		 09 Jun 2025
17:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.203 0.2017 0.2051 1.6 0.1779
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 0.203
  • Stop Loss: 0.2017
  • Take Profit: 0.2051

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2017 - 0.203 = -0.0013

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.203 - 0.2051 = -0.0021

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0021 / -0.0013 = 1.6154

📌 Position Size

Amount Margin Quantity Leverage
1179 100 5807 11.79
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 -0.0013

Taille de position = 8 / -0.0013 = -6153.85

Taille de position USD = -6153.85 x 0.203 = -1249.23

Donc, tu peux acheter -6153.85 avec un stoploss a 0.2017

Avec un position size USD de -1249.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6153.85 x -0.0013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6153.85 x -0.0021 = 12.92

Si Take Profit atteint, tu gagneras 12.92$

Résumé

  • Taille de position -6153.85
  • Taille de position USD -1249.23
  • Perte potentielle 8
  • Gain potentiel 12.92
  • Risk-Reward Ratio 1.6154

📌 Peformances

TP % Target TP $ Target
1 % 12 $
SL % Target SL $ Target
0.64 % 7.5 $
PNL PNL %
12 $ 1.03
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0788 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2056
            [stop_loss] => 0.2017
            [rr_ratio] => 2
            [closed_at] => 2025-06-09 17:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.20625
            [stop_loss] => 0.2017
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-09 17:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2069
            [stop_loss] => 0.2017
            [rr_ratio] => 3
            [closed_at] => 2025-06-09 17:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.20755
            [stop_loss] => 0.2017
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-09 17:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2082
            [stop_loss] => 0.2017
            [rr_ratio] => 4
            [closed_at] => 2025-06-09 17:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.20885
            [stop_loss] => 0.2017
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-09 17:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2095
            [stop_loss] => 0.2017
            [rr_ratio] => 5
            [closed_at] => 2025-06-09 17:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.21015
            [stop_loss] => 0.2017
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-09 17:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2108
            [stop_loss] => 0.2017
            [rr_ratio] => 6
            [closed_at] => 2025-06-09 17:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.21145
            [stop_loss] => 0.2017
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-09 17:15:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.2121
            [stop_loss] => 0.2017
            [rr_ratio] => 7
            [closed_at] => 2025-06-09 17:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)