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Short Trade on NEAR

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Short Trade on NEAR 23 Sep 2025 at 20:38:44

Take profit at 2.9412 (1.04 %) and Stop Loss at 2.9874 (0.52 %)

Short Trade on NEAR

The 23 Sep 2025 at 20:38:44

With 520.3051 NEAR at 2.972$ per unit.

Position size of 1546.3467 $

Take profit at 2.9412 (1.04 %) and Stop Loss at 2.9874 (0.52 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 4.73
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.57
Prediction 3 Probability
1 0.63
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_low
BTC Correlation Score

5m : 0.721573

15m : 0.087418

1H : -0.046918

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.01025039655
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 2.96801
  4. ema21 : 2.9782
  5. ema50 : 2.99085
  6. ema100 : 3.02898
  7. price_ema9_diff : 0.00134289
  8. ema9_ema21_diff : -0.00342317
  9. ema21_ema50_diff : -0.00422926
  10. price_ema100_diff : -0.0188118
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.14066
  14. ema_slope_21 : -0.0255612
  15. ema_slope_50 : -0.0200411
  16. ema_slope_100 : -0.0355457
  17. rsi : 0.49192
  18. adx : 0.1534
  19. kc_percentage : 0.47333
  20. kc_width_percentage : 0.0762929
  21. volume_ema_diff : -0.403659
  22. volume_ema1 : 1903928.461373
  23. volume_ema2 : 3192687.2194836
  24. chop : 63.3672
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.95075
  28. ema21 : 2.95754
  29. ema50 : 2.97699
  30. ema100 : 2.98361
  31. price_ema9_diff : 0.0071984
  32. ema9_ema21_diff : -0.00229299
  33. ema21_ema50_diff : -0.00653491
  34. price_ema100_diff : -0.00389322
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0520507
  38. ema_slope_21 : -0.0619663
  39. ema_slope_50 : -0.0511951
  40. ema_slope_100 : -0.0274443
  41. rsi : 0.521574
  42. adx : 0.214453
  43. kc_percentage : 0.677177
  44. kc_width_percentage : 0.029101
  45. volume_ema_diff : -0.413568
  46. volume_ema1 : 393727.32151917
  47. volume_ema2 : 671394.92724573
  48. chop : 49.6387
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 2.95802
  52. ema21 : 2.94874
  53. ema50 : 2.95271
  54. ema100 : 2.96748
  55. price_ema9_diff : 0.00472525
  56. ema9_ema21_diff : 0.00314675
  57. ema21_ema50_diff : -0.00134653
  58. price_ema100_diff : 0.00152312
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0793452
  62. ema_slope_21 : 0.0205038
  63. ema_slope_50 : -0.00798029
  64. ema_slope_100 : -0.0158399
  65. rsi : 0.634777
  66. adx : 0.259609
  67. kc_percentage : 1.06027
  68. kc_width_percentage : 0.0138373
  69. volume_ema_diff : -0.0098554
  70. volume_ema1 : 165193.75039881
  71. volume_ema2 : 166838.00694747
  72. chop : 26.2793
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112108
  77. 5m_price_ema100_diff: 
    0.000256143
  78. 5m_price: 
    112137
  79. 5m_correlation_with_coin: 
    0.721573
  80. btc_indicators
  81. 15m_ema100: 
    112369
  82. 15m_price_ema100_diff: 
    -0.0017845
  83. 15m_price: 
    112169
  84. 15m_correlation_with_coin: 
    0.087418
  85. btc_indicators
  86. 1H_ema100: 
    113703
  87. 1H_price_ema100_diff: 
    -0.0137726
  88. 1H_price: 
    112137
  89. 1H_correlation_with_coin: 
    -0.046918
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Sep 2025
20:38:44		 23 Sep 2025
20:45:00		 6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.972 2.9874 2.9412 2 1.116
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 2.972
  • Stop Loss: 2.9874
  • Take Profit: 2.9412

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.9874 - 2.972 = 0.0154

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.972 - 2.9412 = 0.0308

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0308 / 0.0154 = 2

📌 Position Size

Amount Margin Quantity Leverage
1546.3467 100 520.3051 15.46
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 0.0154

Taille de position = 8 / 0.0154 = 519.48

Taille de position USD = 519.48 x 2.972 = 1543.89

Donc, tu peux acheter 519.48 avec un stoploss a 2.9874

Avec un position size USD de 1543.89$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 519.48 x 0.0154 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 519.48 x 0.0308 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 519.48
  • Taille de position USD 1543.89
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.04 % 16.03 $
SL % Target SL $ Target
0.52 % 8.01 $
PNL PNL %
-8.01 $ -0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5384 % 103.9 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.9412
            [entry_price] => 2.972
            [stop_loss] => 2.98894
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-23 21:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.9412
            [entry_price] => 2.972
            [stop_loss] => 2.99048
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-23 22:10:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 2.9412
            [entry_price] => 2.972
            [stop_loss] => 2.99202
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-23 22:10:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 2.9412
            [entry_price] => 2.972
            [stop_loss] => 2.9951
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-23 22:10:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.033
            [max_drawdown] => 0.017
            [rr_ratio] => 1.94
            [high] => 2.98900000
            [low] => 2.93900000
            [mfe_pct] => 1.11
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 1.94
            [candles_analyzed] => 24
            [start_at] => 2025-09-23T20:38:44-04:00
            [end_at] => 2025-09-23T22:38:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.108
            [max_drawdown] => 0.055
            [rr_ratio] => 1.96
            [high] => 3.02700000
            [low] => 2.86400000
            [mfe_pct] => 3.63
            [mae_pct] => 1.85
            [mfe_mae_ratio] => 1.96
            [candles_analyzed] => 84
            [start_at] => 2025-09-23T20:38:44-04:00
            [end_at] => 2025-09-24T03:38:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.99800000
            [high_after] => 3.01400000
            [low_before] => 2.91000000
            [low_after] => 2.86400000
            [is_new_high] => 
            [is_new_low] => 1
        )

)