Web3Way Logo

Short Trade on NEAR

Previous Trade Next Trade

Short Trade on NEAR 28 Nov 2025 at 03:09:54

Take profit at 1.8839 (0.68 %) and Stop Loss at 1.9032 (0.34 %)

Short Trade on NEAR

The 28 Nov 2025 at 03:09:54

With 1243.5359 NEAR at 1.8968$ per unit.

Position size of 2358.7389 $

Take profit at 1.8839 (0.68 %) and Stop Loss at 1.9032 (0.34 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.15
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.67
Prediction 2 Probability
1 0.51
Prediction 3 Probability
1 0.61
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.575275

15m : 0.289728

1H : 0.002009

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 0.004288845453
Details
  1. score: 1.23
  2. 1H
  3. ema9 : 1.89162
  4. ema21 : 1.90192
  5. ema50 : 1.9053
  6. ema100 : 1.89928
  7. price_ema9_diff : 0.00273709
  8. ema9_ema21_diff : -0.00541466
  9. ema21_ema50_diff : -0.00177562
  10. price_ema100_diff : -0.00130806
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.177561
  14. ema_slope_21 : -0.105334
  15. ema_slope_50 : -0.0357502
  16. ema_slope_100 : -0.00795898
  17. rsi : 0.470082
  18. adx : 0.233993
  19. kc_percentage : 0.432653
  20. kc_width_percentage : 0.0357802
  21. volume_ema_diff : -0.597853
  22. volume_ema1 : 145840.20044891
  23. volume_ema2 : 362654.84343537
  24. chop : 46.5475
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 1.88506
  28. ema21 : 1.88578
  29. ema50 : 1.89575
  30. ema100 : 1.90649
  31. price_ema9_diff : 0.00622773
  32. ema9_ema21_diff : -0.000382811
  33. ema21_ema50_diff : -0.00526102
  34. price_ema100_diff : -0.00508701
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00415852
  38. ema_slope_21 : -0.0198218
  39. ema_slope_50 : -0.0339528
  40. ema_slope_100 : -0.0277563
  41. rsi : 0.581847
  42. adx : 0.291172
  43. kc_percentage : 0.857059
  44. kc_width_percentage : 0.0166558
  45. volume_ema_diff : -0.185921
  46. volume_ema1 : 49537.523950435
  47. volume_ema2 : 60851.00788851
  48. chop : 58.5349
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 1.88615
  52. ema21 : 1.88362
  53. ema50 : 1.88358
  54. ema100 : 1.887
  55. price_ema9_diff : 0.00564338
  56. ema9_ema21_diff : 0.00134611
  57. ema21_ema50_diff : 1.97549E-5
  58. price_ema100_diff : 0.00518982
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0298756
  62. ema_slope_21 : 0.0153212
  63. ema_slope_50 : 0.00296212
  64. ema_slope_100 : -0.00303007
  65. rsi : 0.729416
  66. adx : 0.16002
  67. kc_percentage : 1.22796
  68. kc_width_percentage : 0.00947236
  69. volume_ema_diff : 0.786635
  70. volume_ema1 : 28509.484092318
  71. volume_ema2 : 15957.081410735
  72. chop : 36.8375
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    91214.8
  77. 5m_price_ema100_diff: 
    -0.0025742
  78. 5m_price: 
    90980
  79. 5m_correlation_with_coin: 
    0.575275
  80. btc_indicators
  81. 15m_ema100: 
    91257.8
  82. 15m_price_ema100_diff: 
    -0.00304434
  83. 15m_price: 
    90980
  84. 15m_correlation_with_coin: 
    0.289728
  85. btc_indicators
  86. 1H_ema100: 
    89397.6
  87. 1H_price_ema100_diff: 
    0.0177002
  88. 1H_price: 
    90980
  89. 1H_correlation_with_coin: 
    0.002009
    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] => 2025-11-25 18:00:00
                    [1] => 1.9345
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-26 07:00:00
                    [1] => 1.8341
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-26 13:00:00
                    [1] => 1.9582
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-26 21:00:00
                    [1] => 1.953
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-26 22:00:00
                    [1] => 1.9098
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-27 04:00:00
                    [1] => 1.9425
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-27 07:00:00
                    [1] => 1.9001
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-27 11:00:00
                    [1] => 1.9487
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-27 21:00:00
                    [1] => 1.8654
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-28 03:00:00
                    [1] => 1.8982
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.7583360137236
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 1.7583360137236
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [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] => 2025-11-27 13:15:00
                    [1] => 1.9274
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-27 13:45:00
                    [1] => 1.9459
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-27 16:15:00
                    [1] => 1.9431
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-27 18:30:00
                    [1] => 1.8959
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-27 19:30:00
                    [1] => 1.9177
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-27 21:30:00
                    [1] => 1.8654
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-27 23:15:00
                    [1] => 1.893
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-28 00:00:00
                    [1] => 1.8727
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-28 01:30:00
                    [1] => 1.872
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-28 03:00:00
                    [1] => 1.8982
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.3995726495726
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 1.3995726495726
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [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] => 2025-11-27 21:30:00
                    [1] => 1.8654
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-27 22:10:00
                    [1] => 1.8911
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-27 22:40:00
                    [1] => 1.8829
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-27 23:15:00
                    [1] => 1.893
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-28 00:00:00
                    [1] => 1.8727
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-28 00:50:00
                    [1] => 1.89
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-28 01:35:00
                    [1] => 1.872
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-28 02:25:00
                    [1] => 1.8868
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-28 02:50:00
                    [1] => 1.8796
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-28 03:05:00
                    [1] => 1.8982
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 0.98957224941478
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 0.98957224941478
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
0.99%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
0.99%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0050
0.26%
TP to Pivot Distance
0.0185
0.98%
DateTime Price Type
2025-11-27 21:30:00 1.8654 ↓ Low
2025-11-27 22:10:00 1.8911 ↑ High
2025-11-27 22:40:00 1.8829 ↓ Low
2025-11-27 23:15:00 1.893 ↑ High
2025-11-28 00:00:00 1.8727 ↓ Low
2025-11-28 00:50:00 1.89 ↑ High
2025-11-28 01:35:00 1.872 ↓ Low
2025-11-28 02:25:00 1.8868 ↑ High
2025-11-28 02:50:00 1.8796 ↓ Low
2025-11-28 03:05:00 1.8982 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
0.00%
Dist From Last Low Pct
1.40%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
1.40%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0427
2.24%
TP to Pivot Distance
0.0185
0.98%
DateTime Price Type
2025-11-27 13:15:00 1.9274 ↓ Low
2025-11-27 13:45:00 1.9459 ↑ High
2025-11-27 16:15:00 1.9431 ↑ High
2025-11-27 18:30:00 1.8959 ↓ Low
2025-11-27 19:30:00 1.9177 ↑ High
2025-11-27 21:30:00 1.8654 ↓ Low
2025-11-27 23:15:00 1.893 ↑ High
2025-11-28 00:00:00 1.8727 ↓ Low
2025-11-28 01:30:00 1.872 ↓ Low
2025-11-28 03:00:00 1.8982 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
1.76%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
1.76%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0550
2.89%
TP to Pivot Distance
0.0498
2.64%
DateTime Price Type
2025-11-25 18:00:00 1.9345 ↑ High
2025-11-26 07:00:00 1.8341 ↓ Low
2025-11-26 13:00:00 1.9582 ↑ High
2025-11-26 21:00:00 1.953 ↑ High
2025-11-26 22:00:00 1.9098 ↓ Low
2025-11-27 04:00:00 1.9425 ↑ High
2025-11-27 07:00:00 1.9001 ↓ Low
2025-11-27 11:00:00 1.9487 ↑ High
2025-11-27 21:00:00 1.8654 ↓ Low
2025-11-28 03:00:00 1.8982 ↑ High

📌 Time Data

Start at Closed at Duration
28 Nov 2025
03:09:54		 28 Nov 2025
03:10:00		 6 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8968 1.9032 1.8839 2.02 1.1382
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 1.8968
  • Stop Loss: 1.9032
  • Take Profit: 1.8839

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9032 - 1.8968 = 0.0064

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8968 - 1.8839 = 0.0129

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0129 / 0.0064 = 2.0156

📌 Position Size

Amount Margin Quantity Leverage
2358.7389 100 1243.5359 23.59
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 0.0064

Taille de position = 8 / 0.0064 = 1250

Taille de position USD = 1250 x 1.8968 = 2371

Donc, tu peux acheter 1250 avec un stoploss a 1.9032

Avec un position size USD de 2371$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1250 x 0.0064 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1250 x 0.0129 = 16.13

Si Take Profit atteint, tu gagneras 16.13$

Résumé

  • Taille de position 1250
  • Taille de position USD 2371
  • Perte potentielle 8
  • Gain potentiel 16.13
  • Risk-Reward Ratio 2.0156

📌 Peformances

TP % Target TP $ Target
0.68 % 16.04 $
SL % Target SL $ Target
0.34 % 7.96 $
PNL PNL %
-7.96 $ -0.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7486 % 221.87 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.8839
            [entry_price] => 1.8968
            [stop_loss] => 1.90384
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-28 03:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.8839
            [entry_price] => 1.8968
            [stop_loss] => 1.90448
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-28 03:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.8839
            [entry_price] => 1.8968
            [stop_loss] => 1.90512
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-28 03:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.8839
            [entry_price] => 1.8968
            [stop_loss] => 1.9064
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-28 03:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00049999999999994
            [max_drawdown] => 0.0422
            [rr_ratio] => -0.01
            [high] => 1.93900000
            [low] => 1.89730000
            [mfe_pct] => -0.03
            [mae_pct] => 2.22
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 24
            [start_at] => 2025-11-28T03:09:54-05:00
            [end_at] => 2025-11-28T05:09:54-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.0422
            [rr_ratio] => 0.26
            [high] => 1.93900000
            [low] => 1.88580000
            [mfe_pct] => 0.58
            [mae_pct] => 2.22
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 84
            [start_at] => 2025-11-28T03:09:54-05:00
            [end_at] => 2025-11-28T10:09:54-05:00
        )

    [breakout] => Array
        (
            [high_before] => 1.89820000
            [high_after] => 1.93900000
            [low_before] => 1.87200000
            [low_after] => 1.88580000
            [is_new_high] => 
            [is_new_low] => 
        )

)