Short Trade on NEWT 14 Jul 2025 at 21:48:24

Take profit at 0.3045 (0.98 %) and Stop Loss at 0.3095 (0.65 %)

Short Trade on NEWT

The 14 Jul 2025 at 21:48:24

With 4033.8631 NEWT at 0.3075$ per unit.

Position size of 1240.4129 $

Take profit at 0.3045 (0.98 %) and Stop Loss at 0.3095 (0.65 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 50
ML Pullback Score: 4.22
Prediction Score: 1.81
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
1 0.38
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.522905

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.001322140376
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.306643
  4. ema21 : 0.309422
  5. ema50 : 0.312213
  6. ema100 : 0.316314
  7. price_ema9_diff : 0.00279361
  8. ema9_ema21_diff : -0.00898113
  9. ema21_ema50_diff : -0.00893993
  10. price_ema100_diff : -0.027865
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.461648
  14. kc_percentage : 0.419348
  15. kc_width_percentage : 0.0712966
  16. volume_ema_diff : -0.368916
  17. volume_ema1 : 112156.80253782
  18. volume_ema2 : 177720.99927918
  19. ¸
  20. 15m
  21. ema9 : 0.304835
  22. ema21 : 0.305097
  23. ema50 : 0.30726
  24. ema100 : 0.309433
  25. price_ema9_diff : 0.00874228
  26. ema9_ema21_diff : -0.000861053
  27. ema21_ema50_diff : -0.00703969
  28. price_ema100_diff : -0.00624766
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.557924
  32. kc_percentage : 0.761201
  33. kc_width_percentage : 0.0305131
  34. volume_ema_diff : -0.568288
  35. volume_ema1 : 17610.672970733
  36. volume_ema2 : 40792.705425404
  37. ¸
  38. 5m
  39. ema9 : 0.304277
  40. ema21 : 0.303885
  41. ema50 : 0.304442
  42. ema100 : 0.305168
  43. price_ema9_diff : 0.0105905
  44. ema9_ema21_diff : 0.00129174
  45. ema21_ema50_diff : -0.00183163
  46. price_ema100_diff : 0.00763941
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.664577
  50. kc_percentage : 1.14827
  51. kc_width_percentage : 0.018211
  52. volume_ema_diff : -0.367554
  53. volume_ema1 : 5856.328421419
  54. volume_ema2 : 9259.8169743142
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    119756
  59. 5m_price_ema100_diff:
    -0.00356412
  60. 5m_price:
    119330
  61. 5m_correlation_with_coin:
    0.522905
  62. btc_indicators
  63. 15m_ema100:
    120192
  64. 15m_price_ema100_diff:
    -0.0071789
  65. 15m_price:
    119330
  66. btc_indicators
  67. 1H_ema100:
    118732
  68. 1H_price_ema100_diff:
    0.00503021
  69. 1H_price:
    119330
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Jul 2025
21:48:24
14 Jul 2025
21:55:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3075 0.3095 0.3045 1.5 0.0726
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 0.3075
  • Stop Loss: 0.3095
  • Take Profit: 0.3045

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3095 - 0.3075 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3075 - 0.3045 = 0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.003 / 0.002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1240.4129 100 4033.8631 12.40
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.3075 = 1230

Donc, tu peux acheter 4000 avec un stoploss a 0.3095

Avec un position size USD de 1230$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.003 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 4000
  • Taille de position USD 1230
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.98 % 12.1 $
SL % Target SL $ Target
0.65 % 8.07 $
PNL PNL %
12.1 $ 0.98
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0325 % 5 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3035
            [stop_loss] => 0.3095
            [rr_ratio] => 2
            [closed_at] => 2025-07-14 22:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.3025
            [stop_loss] => 0.3095
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-14 23:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3015
            [stop_loss] => 0.3095
            [rr_ratio] => 3
            [closed_at] => 2025-07-15 00:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.3005
            [stop_loss] => 0.3095
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-15 00:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.2995
            [stop_loss] => 0.3095
            [rr_ratio] => 4
            [closed_at] => 2025-07-15 00:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.2985
            [stop_loss] => 0.3095
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-15 00:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2975
            [stop_loss] => 0.3095
            [rr_ratio] => 5
            [closed_at] => 2025-07-15 00:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.2965
            [stop_loss] => 0.3095
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-15 00:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2955
            [stop_loss] => 0.3095
            [rr_ratio] => 6
            [closed_at] => 2025-07-15 00:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.2945
            [stop_loss] => 0.3095
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-15 00:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2935
            [stop_loss] => 0.3095
            [rr_ratio] => 7
            [closed_at] => 2025-07-15 00:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0058
            [max_drawdown] => 0.0005
            [rr_ratio] => 11.6
            [high] => 0.30800000
            [low] => 0.30170000
            [mfe_pct] => 1.89
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 11.6
            [candles_analyzed] => 24
            [start_at] => 2025-07-14T21:48:24-04:00
            [end_at] => 2025-07-14T23:48:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0058
            [max_drawdown] => 0.0161
            [rr_ratio] => 0.36
            [high] => 0.32360000
            [low] => 0.30170000
            [mfe_pct] => 1.89
            [mae_pct] => 5.24
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 72
            [start_at] => 2025-07-14T21:48:24-04:00
            [end_at] => 2025-07-15T03:48:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.30790000
            [high_after] => 0.32360000
            [low_before] => 0.30030000
            [low_after] => 0.30170000
            [is_new_high] => 
            [is_new_low] => 
        )

)