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Short Trade on MOVE

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Short Trade on MOVE 30 Sep 2025 at 15:26:55

Take profit at 0.09921 (0.89 %) and Stop Loss at 0.1005 (0.4 %)

Short Trade on MOVE

The 30 Sep 2025 at 15:26:55

With 17942.2083 MOVE at 0.1001$ per unit.

Position size of 1796.015 $

Take profit at 0.09921 (0.89 %) and Stop Loss at 0.1005 (0.4 %)

That's a 2.22 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.6
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.538708

15m : 0.107316

1H : -0.063149

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0002972506645
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 0.100017
  4. ema21 : 0.101625
  5. ema50 : 0.10426
  6. ema100 : 0.106367
  7. price_ema9_diff : 0.000821885
  8. ema9_ema21_diff : -0.0158246
  9. ema21_ema50_diff : -0.0252713
  10. price_ema100_diff : -0.058924
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.259556
  14. ema_slope_21 : -0.268116
  15. ema_slope_50 : -0.195573
  16. ema_slope_100 : -0.127994
  17. rsi : 0.378739
  18. adx : 0.427134
  19. kc_percentage : 0.220902
  20. kc_width_percentage : 0.0500068
  21. volume_ema_diff : 0.149164
  22. volume_ema1 : 244643.92234327
  23. volume_ema2 : 212888.50750488
  24. chop : 42.3719
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.099337
  28. ema21 : 0.0994464
  29. ema50 : 0.100448
  30. ema100 : 0.101975
  31. price_ema9_diff : 0.00768081
  32. ema9_ema21_diff : -0.00110014
  33. ema21_ema50_diff : -0.00997555
  34. price_ema100_diff : -0.0183882
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.000259454
  38. ema_slope_21 : -0.0600113
  39. ema_slope_50 : -0.0738697
  40. ema_slope_100 : -0.06662
  41. rsi : 0.522574
  42. adx : 0.274608
  43. kc_percentage : 0.781585
  44. kc_width_percentage : 0.0241459
  45. volume_ema_diff : -0.420801
  46. volume_ema1 : 39564.369481474
  47. volume_ema2 : 68308.834046364
  48. chop : 49.3129
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0997978
  52. ema21 : 0.0994694
  53. ema50 : 0.0993589
  54. ema100 : 0.0996706
  55. price_ema9_diff : 0.00302734
  56. ema9_ema21_diff : 0.00330214
  57. ema21_ema50_diff : 0.00111133
  58. price_ema100_diff : 0.00430813
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0576073
  62. ema_slope_21 : 0.0488083
  63. ema_slope_50 : 0.0168451
  64. ema_slope_100 : -0.000169459
  65. rsi : 0.649978
  66. adx : 0.343385
  67. kc_percentage : 1.04673
  68. kc_width_percentage : 0.0111597
  69. volume_ema_diff : -0.150563
  70. volume_ema1 : 19861.79118495
  71. volume_ema2 : 23382.314913211
  72. chop : 53.3199
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113208
  77. 5m_price_ema100_diff: 
    0.00564266
  78. 5m_price: 
    113846
  79. 5m_correlation_with_coin: 
    0.538708
  80. btc_indicators
  81. 15m_ema100: 
    113534
  82. 15m_price_ema100_diff: 
    0.00209234
  83. 15m_price: 
    113772
  84. 15m_correlation_with_coin: 
    0.107316
  85. btc_indicators
  86. 1H_ema100: 
    111765
  87. 1H_price_ema100_diff: 
    0.0186192
  88. 1H_price: 
    113846
  89. 1H_correlation_with_coin: 
    -0.063149
    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] => 2025-09-27 12:00:00
                    [1] => 0.1107
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-27 13:00:00
                    [1] => 0.1082
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 0.1102
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.1051
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-28 19:00:00
                    [1] => 0.1109
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-29 04:00:00
                    [1] => 0.1103
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-29 13:00:00
                    [1] => 0.1057
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-29 16:00:00
                    [1] => 0.1096
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-29 21:00:00
                    [1] => 0.1014
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 12:00:00
                    [1] => 0.0973
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -8.6678832116788
            [ms_dist_from_last_low_pct] => 2.8776978417266
            [ms_bars_since_swing_high] => 23
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 4.2137718396711
            [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] => 2025-09-30 01:00:00
                    [1] => 0.1016
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-30 02:45:00
                    [1] => 0.1029
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-30 03:30:00
                    [1] => 0.1015
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-30 05:00:00
                    [1] => 0.1006
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 07:00:00
                    [1] => 0.1004
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-30 08:15:00
                    [1] => 0.1023
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-30 09:00:00
                    [1] => 0.1004
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.1019
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 12:30:00
                    [1] => 0.0973
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:15:00
                    [1] => 0.1002
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.0998003992016
            [ms_dist_from_last_low_pct] => 2.8776978417266
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 11
            [ms_last_swing_amplitude_pct] => 2.9804727646454
            [ms_bos_up] => 0
            [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] => 2025-09-30 08:20:00
                    [1] => 0.1023
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-30 09:05:00
                    [1] => 0.1004
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.1019
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 10:00:00
                    [1] => 0.1006
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 10:55:00
                    [1] => 0.1012
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 11:25:00
                    [1] => 0.0985
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 12:40:00
                    [1] => 0.0973
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-30 14:35:00
                    [1] => 0.0991
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:45:00
                    [1] => 0.0991
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:20:00
                    [1] => 0.1002
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.0998003992016
            [ms_dist_from_last_low_pct] => 1.0090817356206
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 1.1099899091826
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.10%
Dist From Last Low Pct
1.01%
Bars Since Swing High
1 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
1.11%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0018
1.79%
TP to Pivot Distance
0.0019
1.93%
DateTime Price Type
2025-09-30 08:20:00 0.1023 ↑ High
2025-09-30 09:05:00 0.1004 ↓ Low
2025-09-30 09:45:00 0.1019 ↑ High
2025-09-30 10:00:00 0.1006 ↓ Low
2025-09-30 10:55:00 0.1012 ↑ High
2025-09-30 11:25:00 0.0985 ↓ Low
2025-09-30 12:40:00 0.0973 ↓ Low
2025-09-30 14:35:00 0.0991 ↓ Low
2025-09-30 14:45:00 0.0991 ↓ Low
2025-09-30 15:20:00 0.1002 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.10%
Dist From Last Low Pct
2.88%
Bars Since Swing High
0 bars
Bars Since Swing Low
11 bars
Last Swing Amplitude Pct
2.98%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0024
2.39%
TP to Pivot Distance
0.0019
1.93%
DateTime Price Type
2025-09-30 01:00:00 0.1016 ↓ Low
2025-09-30 02:45:00 0.1029 ↑ High
2025-09-30 03:30:00 0.1015 ↓ Low
2025-09-30 05:00:00 0.1006 ↓ Low
2025-09-30 07:00:00 0.1004 ↓ Low
2025-09-30 08:15:00 0.1023 ↑ High
2025-09-30 09:00:00 0.1004 ↓ Low
2025-09-30 09:45:00 0.1019 ↑ High
2025-09-30 12:30:00 0.0973 ↓ Low
2025-09-30 15:15:00 0.1002 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-8.67%
Dist From Last Low Pct
2.88%
Bars Since Swing High
23 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
4.21%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0104
10.35%
TP to Pivot Distance
0.0019
1.93%
DateTime Price Type
2025-09-27 12:00:00 0.1107 ↑ High
2025-09-27 13:00:00 0.1082 ↓ Low
2025-09-27 18:00:00 0.1102 ↑ High
2025-09-28 08:00:00 0.1051 ↓ Low
2025-09-28 19:00:00 0.1109 ↑ High
2025-09-29 04:00:00 0.1103 ↑ High
2025-09-29 13:00:00 0.1057 ↓ Low
2025-09-29 16:00:00 0.1096 ↑ High
2025-09-29 21:00:00 0.1014 ↓ Low
2025-09-30 12:00:00 0.0973 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Sep 2025
15:26:55		 30 Sep 2025
15:45:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1001 0.1005 0.09921 2.22 0.02264
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 0.1001
  • Stop Loss: 0.1005
  • Take Profit: 0.09921

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1005 - 0.1001 = 0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1001 - 0.09921 = 0.00088999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00088999999999999 / 0.00040000000000001 = 2.225

📌 Position Size

Amount Margin Quantity Leverage
1796.015 100 17942.2083 17.96
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 0.00040000000000001

Taille de position = 8 / 0.00040000000000001 = 20000

Taille de position USD = 20000 x 0.1001 = 2002

Donc, tu peux acheter 20000 avec un stoploss a 0.1005

Avec un position size USD de 2002$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00088999999999999 = 17.8

Si Take Profit atteint, tu gagneras 17.8$

Résumé

  • Taille de position 20000
  • Taille de position USD 2002
  • Perte potentielle 8
  • Gain potentiel 17.8
  • Risk-Reward Ratio 2.225

📌 Peformances

TP % Target TP $ Target
0.89 % 15.97 $
SL % Target SL $ Target
0.4 % 7.18 $
PNL PNL %
-7.18 $ -0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8991 % 225 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.09921
            [entry_price] => 0.1001
            [stop_loss] => 0.10054
            [rr_ratio] => 2.02
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.09921
            [entry_price] => 0.1001
            [stop_loss] => 0.10058
            [rr_ratio] => 1.85
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.09921
            [entry_price] => 0.1001
            [stop_loss] => 0.10062
            [rr_ratio] => 1.71
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.09921
            [entry_price] => 0.1001
            [stop_loss] => 0.1007
            [rr_ratio] => 1.48
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.0018
            [rr_ratio] => 0
            [high] => 0.10190000
            [low] => 0.10010000
            [mfe_pct] => 0
            [mae_pct] => 1.8
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:26:55-04:00
            [end_at] => 2025-09-30T17:26:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.003
            [rr_ratio] => 0
            [high] => 0.10310000
            [low] => 0.10010000
            [mfe_pct] => 0
            [mae_pct] => 3
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:26:55-04:00
            [end_at] => 2025-09-30T22:26:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10020000
            [high_after] => 0.10240000
            [low_before] => 0.09730000
            [low_after] => 0.10010000
            [is_new_high] => 
            [is_new_low] => 
        )

)