Short Trade on NEAR 16 Sep 2025 at 01:36:30

Take profit at 2.6059 (0.61 %) and Stop Loss at 2.63 (0.31 %)

Short Trade on NEAR

The 16 Sep 2025 at 01:36:30

With 994.3007 NEAR at 2.622$ per unit.

Position size of 2607.0565 $

Take profit at 2.6059 (0.61 %) and Stop Loss at 2.63 (0.31 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.06
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.88
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.767661

15m : -0.119322

1H : 0.026449

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.005363903731
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 2.61549
  4. ema21 : 2.62905
  5. ema50 : 2.66944
  6. ema100 : 2.7052
  7. price_ema9_diff : 0.00248713
  8. ema9_ema21_diff : -0.00515941
  9. ema21_ema50_diff : -0.0151283
  10. price_ema100_diff : -0.0307583
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0170537
  14. ema_slope_21 : -0.0829155
  15. ema_slope_50 : -0.0986378
  16. ema_slope_100 : -0.0723545
  17. rsi : 0.447128
  18. adx : 0.333616
  19. kc_percentage : 0.440021
  20. kc_width_percentage : 0.0356009
  21. volume_ema_diff : -0.343285
  22. volume_ema1 : 875914.76221237
  23. volume_ema2 : 1333783.578291
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 2.61192
  28. ema21 : 2.61259
  29. ema50 : 2.61844
  30. ema100 : 2.63669
  31. price_ema9_diff : 0.00385579
  32. ema9_ema21_diff : -0.000256534
  33. ema21_ema50_diff : -0.00223121
  34. price_ema100_diff : -0.00557331
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0209379
  38. ema_slope_21 : -0.0248911
  39. ema_slope_50 : -0.0205098
  40. ema_slope_100 : -0.02484
  41. rsi : 0.541331
  42. adx : 0.201292
  43. kc_percentage : 0.735102
  44. kc_width_percentage : 0.0154947
  45. volume_ema_diff : 0.0572849
  46. volume_ema1 : 248125.05593369
  47. volume_ema2 : 234681.34202825
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 2.61571
  52. ema21 : 2.61078
  53. ema50 : 2.61106
  54. ema100 : 2.61542
  55. price_ema9_diff : 0.00240302
  56. ema9_ema21_diff : 0.00188715
  57. ema21_ema50_diff : -0.000105287
  58. price_ema100_diff : 0.00251551
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0591609
  62. ema_slope_21 : 0.0289387
  63. ema_slope_50 : 0.00555365
  64. ema_slope_100 : -0.00170466
  65. rsi : 0.647752
  66. adx : 0.249068
  67. kc_percentage : 1.00718
  68. kc_width_percentage : 0.00828587
  69. volume_ema_diff : -0.119729
  70. volume_ema1 : 70522.824625613
  71. volume_ema2 : 80114.939640463
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115289
  77. 5m_price_ema100_diff:
    0.0035371
  78. 5m_price:
    115697
  79. 5m_correlation_with_coin:
    0.767661
  80. btc_indicators
  81. 15m_ema100:
    115292
  82. 15m_price_ema100_diff:
    0.00350559
  83. 15m_price:
    115697
  84. 15m_correlation_with_coin:
    -0.119322
  85. btc_indicators
  86. 1H_ema100:
    115409
  87. 1H_price_ema100_diff:
    0.00249309
  88. 1H_price:
    115697
  89. 1H_correlation_with_coin:
    0.026449
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
01:36:30
16 Sep 2025
01:50:00
13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.622 2.63 2.6059 2.01 1.1392
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 2.622
  • Stop Loss: 2.63
  • Take Profit: 2.6059

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.63 - 2.622 = 0.008

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.622 - 2.6059 = 0.0161

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0161 / 0.008 = 2.0125

📌 Position Size

Amount Margin Quantity Leverage
2607.0565 100 994.3007 26.07
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 0.008

Taille de position = 8 / 0.008 = 1000

Taille de position USD = 1000 x 2.622 = 2622

Donc, tu peux acheter 1000 avec un stoploss a 2.63

Avec un position size USD de 2622$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1000 x 0.008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1000 x 0.0161 = 16.1

Si Take Profit atteint, tu gagneras 16.1$

Résumé

  • Taille de position 1000
  • Taille de position USD 2622
  • Perte potentielle 8
  • Gain potentiel 16.1
  • Risk-Reward Ratio 2.0125

📌 Peformances

TP % Target TP $ Target
0.61 % 16.01 $
SL % Target SL $ Target
0.31 % 7.95 $
PNL PNL %
-7.95 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3814 % 125.01 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.6059
            [entry_price] => 2.622
            [stop_loss] => 2.6308
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 01:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.6059
            [entry_price] => 2.622
            [stop_loss] => 2.6316
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 01:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.6059
            [entry_price] => 2.622
            [stop_loss] => 2.6324
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 01:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.6059
            [entry_price] => 2.622
            [stop_loss] => 2.634
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 02:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0029999999999997
            [max_drawdown] => 0.055
            [rr_ratio] => 0.05
            [high] => 2.67700000
            [low] => 2.61900000
            [mfe_pct] => 0.11
            [mae_pct] => 2.1
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T01:36:30-04:00
            [end_at] => 2025-09-16T03:36:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0029999999999997
            [max_drawdown] => 0.081
            [rr_ratio] => 0.04
            [high] => 2.70300000
            [low] => 2.61900000
            [mfe_pct] => 0.11
            [mae_pct] => 3.09
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T01:36:30-04:00
            [end_at] => 2025-09-16T08:36:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.62700000
            [high_after] => 2.70300000
            [low_before] => 2.57900000
            [low_after] => 2.61900000
            [is_new_high] => 
            [is_new_low] => 
        )

)