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Short Trade on MOCA

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Short Trade on MOCA 15 May 2025 at 13:00:56

Take profit at 0.09898 (1.12 %) and Stop Loss at 0.1009 (0.8 %)

Short Trade on MOCA

The 15 May 2025 at 13:00:56

With 10377.7252 MOCA at 0.1001$ per unit.

Position size of 1039.2254 $

Take profit at 0.09898 (1.12 %) and Stop Loss at 0.1009 (0.8 %)

That's a 1.4 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 130
ML Pullback Score: 10
Prediction Score: 0.5371
Prediction 1 Probability
Strong Trade
0.58
Prediction 2 Probability
0 0.38
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.737666

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0005139212325
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.0994561
  4. ema21 : 0.101145
  5. ema50 : 0.102612
  6. ema100 : 0.101823
  7. price_ema9_diff : 0.00687634
  8. ema9_ema21_diff : -0.0167022
  9. ema21_ema50_diff : -0.014294
  10. price_ema100_diff : -0.016533
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.423523
  14. kc_percentage : 0.40143
  15. kc_width_percentage : 0.089596
    16. ¸
  16. 15m
  17. ema9 : 0.0989036
  18. ema21 : 0.0988034
  19. ema50 : 0.0998294
  20. ema100 : 0.101697
  21. price_ema9_diff : 0.0125009
  22. ema9_ema21_diff : 0.00101411
  23. ema21_ema50_diff : -0.0102777
  24. price_ema100_diff : -0.0153193
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.581721
  28. kc_percentage : 0.799285
  29. kc_width_percentage : 0.0450913
    30. ¸
  30. 5m
  31. ema9 : 0.099571
  32. ema21 : 0.0990002
  33. ema50 : 0.0987041
  34. ema100 : 0.0988165
  35. price_ema9_diff : 0.00571415
  36. ema9_ema21_diff : 0.00576536
  37. ema21_ema50_diff : 0.0029997
  38. price_ema100_diff : 0.0133935
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.640831
  42. kc_percentage : 1.07897
  43. kc_width_percentage : 0.0191231
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    102489
  47. 5m_price_ema100_diff: 
    0.0117797
  48. 5m_price: 
    103696
  49. 5m_correlation_with_coin: 
    0.737666
  50. btc_indicators
  51. 15m_ema100: 
    102728
  52. 15m_price_ema100_diff: 
    0.00872541
  53. 15m_price: 
    103624
  54. btc_indicators
  55. 1H_ema100: 
    103326
  56. 1H_price_ema100_diff: 
    0.00586511
  57. 1H_price: 
    103933
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 May 2025
13:00:56		 15 May 2025
14:00:00		 59 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1001 0.1009 0.09898 1.4 0.01653
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 0.1001
  • Stop Loss: 0.1009
  • Take Profit: 0.09898

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1009 - 0.1001 = 0.00080000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1001 - 0.09898 = 0.00112

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00112 / 0.00080000000000001 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
1039.2254 100 10377.7252 10.39
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 0.00080000000000001

Taille de position = 8 / 0.00080000000000001 = 10000

Taille de position USD = 10000 x 0.1001 = 1001

Donc, tu peux acheter 10000 avec un stoploss a 0.1009

Avec un position size USD de 1001$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.00112 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position 10000
  • Taille de position USD 1001
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
1.12 % 11.62 $
SL % Target SL $ Target
0.8 % 8.3 $
PNL PNL %
11.63 $ 1.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.22977022977024 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0985
            [stop_loss] => 0.1009
            [rr_ratio] => 2
            [closed_at] => 2025-05-15 14:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0981
            [stop_loss] => 0.1009
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-15 14:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0977
            [stop_loss] => 0.1009
            [rr_ratio] => 3
            [closed_at] => 2025-05-15 14:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0973
            [stop_loss] => 0.1009
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-15 14:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0969
            [stop_loss] => 0.1009
            [rr_ratio] => 4
            [closed_at] => 2025-05-15 14:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0965
            [stop_loss] => 0.1009
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-15 14:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.0961
            [stop_loss] => 0.1009
            [rr_ratio] => 5
            [closed_at] => 2025-05-15 17:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.0957
            [stop_loss] => 0.1009
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-15 17:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.0953
            [stop_loss] => 0.1009
            [rr_ratio] => 6
            [closed_at] => 2025-05-15 17:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.0949
            [stop_loss] => 0.1009
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-15 17:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00397
            [max_drawdown] => 0.00023000000000001
            [rr_ratio] => 17.26
            [high] => 0.10033000
            [low] => 0.09613000
            [mfe_pct] => 3.97
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 17.26
            [candles_analyzed] => 24
            [start_at] => 2025-05-15T13:00:56-04:00
            [end_at] => 2025-05-15T15:00:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00533
            [max_drawdown] => 0.00023000000000001
            [rr_ratio] => 23.17
            [high] => 0.10033000
            [low] => 0.09477000
            [mfe_pct] => 5.32
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 23.17
            [candles_analyzed] => 72
            [start_at] => 2025-05-15T13:00:56-04:00
            [end_at] => 2025-05-15T19:00:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10049000
            [high_after] => 0.10033000
            [low_before] => 0.09596000
            [low_after] => 0.09477000
            [is_new_high] => 
            [is_new_low] => 1
        )

)