Short Trade on NEAR 15 Sep 2025 at 14:56:17

Take profit at 2.5966 (0.82 %) and Stop Loss at 2.6287 (0.41 %)

Short Trade on NEAR

The 15 Sep 2025 at 14:56:17

With 748.1658 NEAR at 2.618$ per unit.

Position size of 1958.6982 $

Take profit at 2.5966 (0.82 %) and Stop Loss at 2.6287 (0.41 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.86
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.6
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.729687

15m : 0.149664

1H : -0.060624

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.007128544315
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 2.62028
  4. ema21 : 2.65206
  5. ema50 : 2.69683
  6. ema100 : 2.71792
  7. price_ema9_diff : -0.000872688
  8. ema9_ema21_diff : -0.0119831
  9. ema21_ema50_diff : -0.0166014
  10. price_ema100_diff : -0.0367662
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.330205
  14. ema_slope_21 : -0.237859
  15. ema_slope_50 : -0.148274
  16. ema_slope_100 : -0.0820394
  17. rsi : 0.400204
  18. adx : 0.357544
  19. kc_percentage : 0.258862
  20. kc_width_percentage : 0.0502645
  21. volume_ema_diff : -0.310829
  22. volume_ema1 : 1130830.4042364
  23. volume_ema2 : 1640856.1286852
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 2.60324
  28. ema21 : 2.60713
  29. ema50 : 2.62928
  30. ema100 : 2.65632
  31. price_ema9_diff : 0.00566683
  32. ema9_ema21_diff : -0.00149136
  33. ema21_ema50_diff : -0.00842237
  34. price_ema100_diff : -0.0144265
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0289855
  38. ema_slope_21 : -0.0484636
  39. ema_slope_50 : -0.0589789
  40. ema_slope_100 : -0.0489434
  41. rsi : 0.498519
  42. adx : 0.326117
  43. kc_percentage : 0.69279
  44. kc_width_percentage : 0.0227191
  45. volume_ema_diff : -0.621388
  46. volume_ema1 : 146298.80657832
  47. volume_ema2 : 386409.17552309
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 2.60939
  52. ema21 : 2.60396
  53. ema50 : 2.60357
  54. ema100 : 2.60883
  55. price_ema9_diff : 0.00329589
  56. ema9_ema21_diff : 0.00208588
  57. ema21_ema50_diff : 0.000151245
  58. price_ema100_diff : 0.00351276
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0445692
  62. ema_slope_21 : 0.0310493
  63. ema_slope_50 : 0.00797794
  64. ema_slope_100 : -0.00132613
  65. rsi : 0.648828
  66. adx : 0.197318
  67. kc_percentage : 1.02018
  68. kc_width_percentage : 0.0101104
  69. volume_ema_diff : -0.463103
  70. volume_ema1 : 43951.518615102
  71. volume_ema2 : 81862.196505536
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114793
  77. 5m_price_ema100_diff:
    0.00373653
  78. 5m_price:
    115222
  79. 5m_correlation_with_coin:
    0.729687
  80. btc_indicators
  81. 15m_ema100:
    115159
  82. 15m_price_ema100_diff:
    -0.000864125
  83. 15m_price:
    115060
  84. 15m_correlation_with_coin:
    0.149664
  85. btc_indicators
  86. 1H_ema100:
    115259
  87. 1H_price_ema100_diff:
    -0.000325872
  88. 1H_price:
    115222
  89. 1H_correlation_with_coin:
    -0.060624
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:56:17
15 Sep 2025
16:30:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.618 2.6287 2.5966 2 1.1243
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 2.618
  • Stop Loss: 2.6287
  • Take Profit: 2.5966

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6287 - 2.618 = 0.0107

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.618 - 2.5966 = 0.0214

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0214 / 0.0107 = 2

📌 Position Size

Amount Margin Quantity Leverage
1958.6982 100 748.1658 19.59
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 0.0107

Taille de position = 8 / 0.0107 = 747.66

Taille de position USD = 747.66 x 2.618 = 1957.37

Donc, tu peux acheter 747.66 avec un stoploss a 2.6287

Avec un position size USD de 1957.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 747.66 x 0.0107 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 747.66 x 0.0214 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 747.66
  • Taille de position USD 1957.37
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.82 % 16.01 $
SL % Target SL $ Target
0.41 % 8.01 $
PNL PNL %
-8.01 $ -0.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4584 % 112.16 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.5966
            [entry_price] => 2.618
            [stop_loss] => 2.62977
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 16:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.5966
            [entry_price] => 2.618
            [stop_loss] => 2.63084
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 16:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.5966
            [entry_price] => 2.618
            [stop_loss] => 2.63191
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 16:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.5966
            [entry_price] => 2.618
            [stop_loss] => 2.63405
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 18:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.021
            [max_drawdown] => 0.015
            [rr_ratio] => 1.4
            [high] => 2.63300000
            [low] => 2.59700000
            [mfe_pct] => 0.8
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 1.4
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:56:17-04:00
            [end_at] => 2025-09-15T16:56:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.021
            [max_drawdown] => 0.017
            [rr_ratio] => 1.24
            [high] => 2.63500000
            [low] => 2.59700000
            [mfe_pct] => 0.8
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 1.24
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:56:17-04:00
            [end_at] => 2025-09-15T21:56:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.62300000
            [high_after] => 2.63500000
            [low_before] => 2.57600000
            [low_after] => 2.59700000
            [is_new_high] => 
            [is_new_low] => 
        )

)