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Short Trade on NEAR

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Short Trade on NEAR 31 Oct 2025 at 07:50:48

Take profit at 2.1007 (0.72 %) and Stop Loss at 2.1237 (0.36 %)

Short Trade on NEAR

The 31 Oct 2025 at 07:50:48

With 1044.566 NEAR at 2.116$ per unit.

Position size of 2210.3017 $

Take profit at 2.1007 (0.72 %) and Stop Loss at 2.1237 (0.36 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.12
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.59
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_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.809497

15m : -0.001099

1H : -0.108694

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.005105788592
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 2.10843
  4. ema21 : 2.11979
  5. ema50 : 2.16972
  6. ema100 : 2.22752
  7. price_ema9_diff : 0.0035897
  8. ema9_ema21_diff : -0.00536198
  9. ema21_ema50_diff : -0.0230105
  10. price_ema100_diff : -0.0500652
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.0767673
  14. ema_slope_21 : -0.0692701
  15. ema_slope_50 : -0.133588
  16. ema_slope_100 : -0.114935
  17. rsi : 0.459987
  18. adx : 0.388733
  19. kc_percentage : 0.47717
  20. kc_width_percentage : 0.0456595
  21. volume_ema_diff : -0.553978
  22. volume_ema1 : 304292.26889251
  23. volume_ema2 : 682236.54431951
  24. chop : 62.8945
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.10432
  28. ema21 : 2.10472
  29. ema50 : 2.10609
  30. ema100 : 2.11634
  31. price_ema9_diff : 0.00554578
  32. ema9_ema21_diff : -0.000188424
  33. ema21_ema50_diff : -0.000651696
  34. price_ema100_diff : -0.00016402
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00235369
  38. ema_slope_21 : -0.0151106
  39. ema_slope_50 : -0.00904648
  40. ema_slope_100 : -0.0150936
  41. rsi : 0.577039
  42. adx : 0.14241
  43. kc_percentage : 0.790356
  44. kc_width_percentage : 0.0184825
  45. volume_ema_diff : -0.114833
  46. volume_ema1 : 89096.647213562
  47. volume_ema2 : 100655.22931463
  48. chop : 67.8118
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 2.10549
  52. ema21 : 2.10297
  53. ema50 : 2.10371
  54. ema100 : 2.10711
  55. price_ema9_diff : 0.00499042
  56. ema9_ema21_diff : 0.00119668
  57. ema21_ema50_diff : -0.000351268
  58. price_ema100_diff : 0.00421731
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0107499
  62. ema_slope_21 : 0.00170659
  63. ema_slope_50 : -0.00378245
  64. ema_slope_100 : -0.00567087
  65. rsi : 0.651022
  66. adx : 0.212225
  67. kc_percentage : 1.12356
  68. kc_width_percentage : 0.00981542
  69. volume_ema_diff : 0.502031
  70. volume_ema1 : 39842.438272773
  71. volume_ema2 : 26525.698763011
  72. chop : 39.6347
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109618
  77. 5m_price_ema100_diff: 
    0.00350513
  78. 5m_price: 
    110002
  79. 5m_correlation_with_coin: 
    0.809497
  80. btc_indicators
  81. 15m_ema100: 
    109168
  82. 15m_price_ema100_diff: 
    0.00791443
  83. 15m_price: 
    110032
  84. 15m_correlation_with_coin: 
    -0.001099
  85. btc_indicators
  86. 1H_ema100: 
    111351
  87. 1H_price_ema100_diff: 
    -0.012116
  88. 1H_price: 
    110002
  89. 1H_correlation_with_coin: 
    -0.108694
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-27 22:00:00
                    [1] => 2.298
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-28 03:00:00
                    [1] => 2.361
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-28 09:00:00
                    [1] => 2.383
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-28 17:00:00
                    [1] => 2.198
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 2.347
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-30 00:00:00
                    [1] => 2.189
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 15:00:00
                    [1] => 2.028
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-31 00:00:00
                    [1] => 2.14
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-31 04:00:00
                    [1] => 2.091
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 07:00:00
                    [1] => 2.125
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.37647058823529
            [ms_dist_from_last_low_pct] => 1.2434241989479
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 1.6260162601626
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-30 09:30:00
                    [1] => 2.114
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-30 13:30:00
                    [1] => 2.048
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-30 15:45:00
                    [1] => 2.028
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-30 16:45:00
                    [1] => 2.072
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 21:15:00
                    [1] => 2.128
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-30 22:30:00
                    [1] => 2.097
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-31 00:45:00
                    [1] => 2.14
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-31 04:15:00
                    [1] => 2.091
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-31 07:15:00
                    [1] => 2.093
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 07:45:00
                    [1] => 2.125
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.37647058823529
            [ms_dist_from_last_low_pct] => 1.146679407549
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 2
            [ms_last_swing_amplitude_pct] => 1.528905876732
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-31 03:10:00
                    [1] => 2.115
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-31 04:05:00
                    [1] => 2.112
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-31 04:15:00
                    [1] => 2.091
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-31 05:00:00
                    [1] => 2.109
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-31 05:05:00
                    [1] => 2.094
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-31 06:00:00
                    [1] => 2.108
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-31 06:30:00
                    [1] => 2.096
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-31 06:40:00
                    [1] => 2.11
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-31 07:15:00
                    [1] => 2.093
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 07:50:00
                    [1] => 2.125
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.37647058823529
            [ms_dist_from_last_low_pct] => 1.146679407549
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 1.528905876732
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.38%
Dist From Last Low Pct
1.15%
Bars Since Swing High
0 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
1.53%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0013
0.06%
TP to Pivot Distance
0.0097
0.46%
DateTime Price Type
2025-10-31 03:10:00 2.115 ↑ High
2025-10-31 04:05:00 2.112 ↑ High
2025-10-31 04:15:00 2.091 ↓ Low
2025-10-31 05:00:00 2.109 ↑ High
2025-10-31 05:05:00 2.094 ↓ Low
2025-10-31 06:00:00 2.108 ↑ High
2025-10-31 06:30:00 2.096 ↓ Low
2025-10-31 06:40:00 2.11 ↑ High
2025-10-31 07:15:00 2.093 ↓ Low
2025-10-31 07:50:00 2.125 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.38%
Dist From Last Low Pct
1.15%
Bars Since Swing High
0 bars
Bars Since Swing Low
2 bars
Last Swing Amplitude Pct
1.53%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0163
0.77%
TP to Pivot Distance
0.0727
3.46%
DateTime Price Type
2025-10-30 09:30:00 2.114 ↓ Low
2025-10-30 13:30:00 2.048 ↓ Low
2025-10-30 15:45:00 2.028 ↓ Low
2025-10-30 16:45:00 2.072 ↑ High
2025-10-30 21:15:00 2.128 ↑ High
2025-10-30 22:30:00 2.097 ↓ Low
2025-10-31 00:45:00 2.14 ↑ High
2025-10-31 04:15:00 2.091 ↓ Low
2025-10-31 07:15:00 2.093 ↓ Low
2025-10-31 07:45:00 2.125 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.38%
Dist From Last Low Pct
1.24%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
1.63%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.2593
12.21%
TP to Pivot Distance
0.0727
3.46%
DateTime Price Type
2025-10-27 22:00:00 2.298 ↓ Low
2025-10-28 03:00:00 2.361 ↑ High
2025-10-28 09:00:00 2.383 ↑ High
2025-10-28 17:00:00 2.198 ↓ Low
2025-10-29 14:00:00 2.347 ↑ High
2025-10-30 00:00:00 2.189 ↓ Low
2025-10-30 15:00:00 2.028 ↓ Low
2025-10-31 00:00:00 2.14 ↑ High
2025-10-31 04:00:00 2.091 ↓ Low
2025-10-31 07:00:00 2.125 ↑ High

📌 Time Data

Start at Closed at Duration
31 Oct 2025
07:50:48		 31 Oct 2025
07:55:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.116 2.1237 2.1007 1.99 1.1009
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 2.116
  • Stop Loss: 2.1237
  • Take Profit: 2.1007

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1237 - 2.116 = 0.0076999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.116 - 2.1007 = 0.0153

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0153 / 0.0076999999999998 = 1.987

📌 Position Size

Amount Margin Quantity Leverage
2210.3017 100 1044.566 22.10
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 0.0076999999999998

Taille de position = 8 / 0.0076999999999998 = 1038.96

Taille de position USD = 1038.96 x 2.116 = 2198.44

Donc, tu peux acheter 1038.96 avec un stoploss a 2.1237

Avec un position size USD de 2198.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1038.96 x 0.0076999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1038.96 x 0.0153 = 15.9

Si Take Profit atteint, tu gagneras 15.9$

Résumé

  • Taille de position 1038.96
  • Taille de position USD 2198.44
  • Perte potentielle 8
  • Gain potentiel 15.9
  • Risk-Reward Ratio 1.987

📌 Peformances

TP % Target TP $ Target
0.72 % 15.98 $
SL % Target SL $ Target
0.36 % 8.04 $
PNL PNL %
-8.04 $ -0.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6616 % 181.81 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.1007
            [entry_price] => 2.116
            [stop_loss] => 2.12447
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-31 07:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.1007
            [entry_price] => 2.116
            [stop_loss] => 2.12524
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-31 07:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.1007
            [entry_price] => 2.116
            [stop_loss] => 2.12601
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-31 07:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.1007
            [entry_price] => 2.116
            [stop_loss] => 2.12755
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-31 07:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.025
            [rr_ratio] => 0.52
            [high] => 2.14100000
            [low] => 2.10300000
            [mfe_pct] => 0.61
            [mae_pct] => 1.18
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 24
            [start_at] => 2025-10-31T07:50:48-04:00
            [end_at] => 2025-10-31T09:50:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.049
            [max_drawdown] => 0.042
            [rr_ratio] => 1.17
            [high] => 2.15800000
            [low] => 2.06700000
            [mfe_pct] => 2.32
            [mae_pct] => 1.98
            [mfe_mae_ratio] => 1.17
            [candles_analyzed] => 84
            [start_at] => 2025-10-31T07:50:48-04:00
            [end_at] => 2025-10-31T14:50:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.12500000
            [high_after] => 2.15800000
            [low_before] => 2.09100000
            [low_after] => 2.06700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)