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Short Trade on REZ

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Short Trade on REZ 31 May 2025 at 08:16:00

Take profit at 0.01085 (0.73 %) and Stop Loss at 0.01098 (0.46 %)

Short Trade on REZ

The 31 May 2025 at 08:16:00

With 150045.5871 REZ at 0.01093$ per unit.

Position size of 1639.9983 $

Take profit at 0.01085 (0.73 %) and Stop Loss at 0.01098 (0.46 %)

That's a 1.6 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 50
ML Pullback Score: 0.53
Prediction Score: -0.1131
Prediction 1 Probability
Weak Trade
0.59
Prediction 2 Probability
0 0.51
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.477652

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 3.5544753E-5
Details
  1. score: 1.23
  2. 1H
  3. ema9 : 0.0108299
  4. ema21 : 0.011067
  5. ema50 : 0.011817
  6. ema100 : 0.0125768
  7. price_ema9_diff : 0.00923991
  8. ema9_ema21_diff : -0.0214281
  9. ema21_ema50_diff : -0.0634649
  10. price_ema100_diff : -0.130944
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.410501
  14. kc_percentage : 0.388187
  15. kc_width_percentage : 0.0898342
    16. ¸
  16. 15m
  17. ema9 : 0.0108378
  18. ema21 : 0.0108154
  19. ema50 : 0.0108559
  20. ema100 : 0.011099
  21. price_ema9_diff : 0.00850594
  22. ema9_ema21_diff : 0.00207188
  23. ema21_ema50_diff : -0.00373143
  24. price_ema100_diff : -0.015234
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.575499
  28. kc_percentage : 0.814139
  29. kc_width_percentage : 0.0327945
    30. ¸
  30. 5m
  31. ema9 : 0.0108383
  32. ema21 : 0.0108285
  33. ema50 : 0.0108167
  34. ema100 : 0.0107606
  35. price_ema9_diff : 0.00845638
  36. ema9_ema21_diff : 0.000903352
  37. ema21_ema50_diff : 0.00108922
  38. price_ema100_diff : 0.0157349
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.631476
  42. kc_percentage : 1.22792
  43. kc_width_percentage : 0.0127294
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    103536
  47. 5m_price_ema100_diff: 
    0.00234186
  48. 5m_price: 
    103779
  49. 5m_correlation_with_coin: 
    0.477652
  50. btc_indicators
  51. 15m_ema100: 
    104128
  52. 15m_price_ema100_diff: 
    -0.0033586
  53. 15m_price: 
    103779
  54. btc_indicators
  55. 1H_ema100: 
    106325
  56. 1H_price_ema100_diff: 
    -0.0239482
  57. 1H_price: 
    103779
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
31 May 2025
08:16:00		 31 May 2025
08:20:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01093 0.01098 0.01085 1.6 0.002843
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 0.01093
  • Stop Loss: 0.01098
  • Take Profit: 0.01085

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01098 - 0.01093 = 5.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01093 - 0.01085 = 8.0E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 8.0E-5 / 5.0E-5 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
1639.9983 100 150045.5871 16.40
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 5.0E-5

Taille de position = 8 / 5.0E-5 = 160000

Taille de position USD = 160000 x 0.01093 = 1748.8

Donc, tu peux acheter 160000 avec un stoploss a 0.01098

Avec un position size USD de 1748.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 160000 x 5.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 160000 x 8.0E-5 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position 160000
  • Taille de position USD 1748.8
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.73 % 12 $
SL % Target SL $ Target
0.46 % 7.5 $
PNL PNL %
12 $ 0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01083
            [stop_loss] => 0.01098
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 08:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.010805
            [stop_loss] => 0.01098
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 08:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01078
            [stop_loss] => 0.01098
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.010755
            [stop_loss] => 0.01098
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.01073
            [stop_loss] => 0.01098
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.010705
            [stop_loss] => 0.01098
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01068
            [stop_loss] => 0.01098
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.010655
            [stop_loss] => 0.01098
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.01063
            [stop_loss] => 0.01098
            [rr_ratio] => 6
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.010605
            [stop_loss] => 0.01098
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01058
            [stop_loss] => 0.01098
            [rr_ratio] => 7
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00013
            [max_drawdown] => 0.00032
            [rr_ratio] => 0.41
            [high] => 0.01125000
            [low] => 0.01080000
            [mfe_pct] => 1.19
            [mae_pct] => 2.93
            [mfe_mae_ratio] => 0.41
            [candles_analyzed] => 24
            [start_at] => 2025-05-31T08:16:00-04:00
            [end_at] => 2025-05-31T10:16:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00013
            [max_drawdown] => 0.0004
            [rr_ratio] => 0.33
            [high] => 0.01133000
            [low] => 0.01080000
            [mfe_pct] => 1.19
            [mae_pct] => 3.66
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 72
            [start_at] => 2025-05-31T08:16:00-04:00
            [end_at] => 2025-05-31T14:16:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01095000
            [high_after] => 0.01133000
            [low_before] => 0.01074000
            [low_after] => 0.01080000
            [is_new_high] => 
            [is_new_low] => 
        )

)