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Short Trade on NEAR

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Short Trade on NEAR 30 Sep 2025 at 16:38:41

Take profit at 2.6053 (1.09 %) and Stop Loss at 2.6483 (0.54 %)

Short Trade on NEAR

The 30 Sep 2025 at 16:38:41

With 558.1712 NEAR at 2.634$ per unit.

Position size of 1470.2231 $

Take profit at 2.6053 (1.09 %) and Stop Loss at 2.6483 (0.54 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 1.43
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.76
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.513249

15m : 0.211424

1H : -0.028224

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.00955501274
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 2.61398
  4. ema21 : 2.64785
  5. ema50 : 2.69116
  6. ema100 : 2.71732
  7. price_ema9_diff : 0.00765655
  8. ema9_ema21_diff : -0.0127924
  9. ema21_ema50_diff : -0.0160906
  10. price_ema100_diff : -0.0306642
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.284791
  14. ema_slope_21 : -0.255769
  15. ema_slope_50 : -0.151184
  16. ema_slope_100 : -0.0872956
  17. rsi : 0.437112
  18. adx : 0.355754
  19. kc_percentage : 0.41605
  20. kc_width_percentage : 0.050934
  21. volume_ema_diff : -0.0966852
  22. volume_ema1 : 1655560.3523516
  23. volume_ema2 : 1832761.4033154
  24. chop : 44.3621
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.61087
  28. ema21 : 2.6026
  29. ema50 : 2.62208
  30. ema100 : 2.66192
  31. price_ema9_diff : 0.00885834
  32. ema9_ema21_diff : 0.00317782
  33. ema21_ema50_diff : -0.00742933
  34. price_ema100_diff : -0.010492
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.106135
  38. ema_slope_21 : 0.0241307
  39. ema_slope_50 : -0.0377631
  40. ema_slope_100 : -0.0510229
  41. rsi : 0.615828
  42. adx : 0.381108
  43. kc_percentage : 0.942547
  44. kc_width_percentage : 0.026973
  45. volume_ema_diff : -0.450999
  46. volume_ema1 : 278386.81376789
  47. volume_ema2 : 507079.21178623
  48. chop : 45.046
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 2.62511
  52. ema21 : 2.61364
  53. ema50 : 2.60232
  54. ema100 : 2.60515
  55. price_ema9_diff : 0.00338577
  56. ema9_ema21_diff : 0.00438834
  57. ema21_ema50_diff : 0.00434737
  58. price_ema100_diff : 0.0110725
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.104862
  62. ema_slope_21 : 0.0819812
  63. ema_slope_50 : 0.0442707
  64. ema_slope_100 : 0.016665
  65. rsi : 0.666954
  66. adx : 0.273939
  67. kc_percentage : 1.02072
  68. kc_width_percentage : 0.0142669
  69. volume_ema_diff : -0.611943
  70. volume_ema1 : 56646.34192021
  71. volume_ema2 : 145974.64141587
  72. chop : 42.6711
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113472
  77. 5m_price_ema100_diff: 
    0.00703586
  78. 5m_price: 
    114270
  79. 5m_correlation_with_coin: 
    0.513249
  80. btc_indicators
  81. 15m_ema100: 
    113637
  82. 15m_price_ema100_diff: 
    0.00570445
  83. 15m_price: 
    114285
  84. 15m_correlation_with_coin: 
    0.211424
  85. btc_indicators
  86. 1H_ema100: 
    111884
  87. 1H_price_ema100_diff: 
    0.0213224
  88. 1H_price: 
    114270
  89. 1H_correlation_with_coin: 
    -0.028224
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:38:41		 30 Sep 2025
16:50:00		 11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.634 2.6483 2.6053 2.01 1.0882
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 2.634
  • Stop Loss: 2.6483
  • Take Profit: 2.6053

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6483 - 2.634 = 0.0143

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.634 - 2.6053 = 0.0287

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0287 / 0.0143 = 2.007

📌 Position Size

Amount Margin Quantity Leverage
1470.2231 100 558.1712 14.70
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 0.0143

Taille de position = 8 / 0.0143 = 559.44

Taille de position USD = 559.44 x 2.634 = 1473.56

Donc, tu peux acheter 559.44 avec un stoploss a 2.6483

Avec un position size USD de 1473.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 559.44 x 0.0143 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 559.44 x 0.0287 = 16.06

Si Take Profit atteint, tu gagneras 16.06$

Résumé

  • Taille de position 559.44
  • Taille de position USD 1473.56
  • Perte potentielle 8
  • Gain potentiel 16.06
  • Risk-Reward Ratio 2.007

📌 Peformances

TP % Target TP $ Target
1.09 % 16.02 $
SL % Target SL $ Target
0.54 % 7.98 $
PNL PNL %
-7.98 $ -0.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6454 % 118.88 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.6053
            [entry_price] => 2.634
            [stop_loss] => 2.64973
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.6053
            [entry_price] => 2.634
            [stop_loss] => 2.65116
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 19:00:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 2.6053
            [entry_price] => 2.634
            [stop_loss] => 2.65259
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 19:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 2.6053
            [entry_price] => 2.634
            [stop_loss] => 2.65545
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 19:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.02
            [max_drawdown] => 0.017
            [rr_ratio] => 1.18
            [high] => 2.65100000
            [low] => 2.61400000
            [mfe_pct] => 0.76
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 1.18
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:38:41-04:00
            [end_at] => 2025-09-30T18:38:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.038
            [max_drawdown] => 0.047
            [rr_ratio] => 0.81
            [high] => 2.68100000
            [low] => 2.59600000
            [mfe_pct] => 1.44
            [mae_pct] => 1.78
            [mfe_mae_ratio] => 0.81
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:38:41-04:00
            [end_at] => 2025-09-30T23:38:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.63600000
            [high_after] => 2.68100000
            [low_before] => 2.55900000
            [low_after] => 2.59600000
            [is_new_high] => 
            [is_new_low] => 
        )

)