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Short Trade on SAND

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Short Trade on SAND 30 Sep 2025 at 15:03:34

Take profit at 0.2601 (0.65 %) and Stop Loss at 0.2626 (0.31 %)

Short Trade on SAND

The 30 Sep 2025 at 15:03:34

With 9684.0102 SAND at 0.2618$ per unit.

Position size of 2535.2739 $

Take profit at 0.2601 (0.65 %) and Stop Loss at 0.2626 (0.31 %)

That's a 2.12 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.2
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
0 0.56
Prediction 3 Probability
0 0.78
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 : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.646689

15m : 0.055571

1H : -0.267546

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0005507360298
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 0.260954
  4. ema21 : 0.262062
  5. ema50 : 0.263463
  6. ema100 : 0.263866
  7. price_ema9_diff : 0.00323893
  8. ema9_ema21_diff : -0.00422802
  9. ema21_ema50_diff : -0.00531517
  10. price_ema100_diff : -0.00783221
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0780437
  14. ema_slope_21 : -0.0880381
  15. ema_slope_50 : -0.0524066
  16. ema_slope_100 : -0.0265382
  17. rsi : 0.468493
  18. adx : 0.24705
  19. kc_percentage : 0.478634
  20. kc_width_percentage : 0.030718
  21. volume_ema_diff : -0.525543
  22. volume_ema1 : 111232.86005284
  23. volume_ema2 : 234442.93212904
  24. chop : 60.9547
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.260682
  28. ema21 : 0.26047
  29. ema50 : 0.261131
  30. ema100 : 0.262383
  31. price_ema9_diff : 0.00428762
  32. ema9_ema21_diff : 0.000813536
  33. ema21_ema50_diff : -0.00253265
  34. price_ema100_diff : -0.00222538
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0327505
  38. ema_slope_21 : -0.000664269
  39. ema_slope_50 : -0.0159978
  40. ema_slope_100 : -0.0182261
  41. rsi : 0.589509
  42. adx : 0.184505
  43. kc_percentage : 0.813703
  44. kc_width_percentage : 0.0162621
  45. volume_ema_diff : -0.705528
  46. volume_ema1 : 14389.08281285
  47. volume_ema2 : 48864.112402663
  48. chop : 58.6482
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.260943
  52. ema21 : 0.260523
  53. ema50 : 0.260282
  54. ema100 : 0.260473
  55. price_ema9_diff : 0.00328375
  56. ema9_ema21_diff : 0.00161042
  57. ema21_ema50_diff : 0.000925505
  58. price_ema100_diff : 0.005091
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0360135
  62. ema_slope_21 : 0.0261562
  63. ema_slope_50 : 0.0112715
  64. ema_slope_100 : 0.00313631
  65. rsi : 0.648177
  66. adx : 0.228666
  67. kc_percentage : 1.09147
  68. kc_width_percentage : 0.00807839
  69. volume_ema_diff : -0.479445
  70. volume_ema1 : 6262.0082093532
  71. volume_ema2 : 12029.494638155
  72. chop : 45.0047
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113157
  77. 5m_price_ema100_diff: 
    0.00538124
  78. 5m_price: 
    113766
  79. 5m_correlation_with_coin: 
    0.646689
  80. btc_indicators
  81. 15m_ema100: 
    113525
  82. 15m_price_ema100_diff: 
    0.00211989
  83. 15m_price: 
    113766
  84. 15m_correlation_with_coin: 
    0.055571
  85. btc_indicators
  86. 1H_ema100: 
    111764
  87. 1H_price_ema100_diff: 
    0.0179117
  88. 1H_price: 
    113766
  89. 1H_correlation_with_coin: 
    -0.267546
    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 05:00:00
                    [1] => 0.26125
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-27 13:00:00
                    [1] => 0.26129
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 0.26477
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.25696
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-28 18:00:00
                    [1] => 0.27138
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-29 09:00:00
                    [1] => 0.2615
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-29 11:00:00
                    [1] => 0.27068
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-29 17:00:00
                    [1] => 0.27052
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 09:00:00
                    [1] => 0.26332
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-30 11:00:00
                    [1] => 0.25757
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.56964909615677
            [ms_dist_from_last_low_pct] => 1.6500368831774
            [ms_bars_since_swing_high] => 6
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 2.2324028419459
            [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] => 2025-09-29 14:15:00
                    [1] => 0.26513
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-29 17:15:00
                    [1] => 0.27052
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-29 20:45:00
                    [1] => 0.26783
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 02:30:00
                    [1] => 0.26356
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-30 05:30:00
                    [1] => 0.26188
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 07:15:00
                    [1] => 0.25992
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 09:00:00
                    [1] => 0.26043
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.26332
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 11:15:00
                    [1] => 0.25757
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.26182
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.6500368831774
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 15
            [ms_last_swing_amplitude_pct] => 1.6500368831774
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
  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 08:30:00
                    [1] => 0.26233
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-30 09:05:00
                    [1] => 0.26043
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.26332
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 10:55:00
                    [1] => 0.26191
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-30 11:25:00
                    [1] => 0.25757
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-30 12:25:00
                    [1] => 0.25964
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-30 12:40:00
                    [1] => 0.25822
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-30 13:40:00
                    [1] => 0.261
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.25926
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.26182
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 0.98742575021214
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 0.98742575021214
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

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
12 bars
Last Swing Amplitude Pct
0.99%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0007
0.27%
TP to Pivot Distance
0.0025
0.97%
DateTime Price Type
2025-09-30 08:30:00 0.26233 ↑ High
2025-09-30 09:05:00 0.26043 ↓ Low
2025-09-30 09:45:00 0.26332 ↑ High
2025-09-30 10:55:00 0.26191 ↑ High
2025-09-30 11:25:00 0.25757 ↓ Low
2025-09-30 12:25:00 0.25964 ↑ High
2025-09-30 12:40:00 0.25822 ↓ Low
2025-09-30 13:40:00 0.261 ↑ High
2025-09-30 14:00:00 0.25926 ↓ Low
2025-09-30 15:00:00 0.26182 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
1.65%
Bars Since Swing High
0 bars
Bars Since Swing Low
15 bars
Last Swing Amplitude Pct
1.65%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
0.0079
3.02%
TP to Pivot Distance
0.0025
0.97%
DateTime Price Type
2025-09-29 14:15:00 0.26513 ↓ Low
2025-09-29 17:15:00 0.27052 ↑ High
2025-09-29 20:45:00 0.26783 ↑ High
2025-09-30 02:30:00 0.26356 ↑ High
2025-09-30 05:30:00 0.26188 ↑ High
2025-09-30 07:15:00 0.25992 ↓ Low
2025-09-30 09:00:00 0.26043 ↓ Low
2025-09-30 09:45:00 0.26332 ↑ High
2025-09-30 11:15:00 0.25757 ↓ Low
2025-09-30 15:00:00 0.26182 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.57%
Dist From Last Low Pct
1.65%
Bars Since Swing High
6 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
2.23%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0088
3.34%
TP to Pivot Distance
0.0031
1.21%
DateTime Price Type
2025-09-27 05:00:00 0.26125 ↓ Low
2025-09-27 13:00:00 0.26129 ↓ Low
2025-09-27 18:00:00 0.26477 ↑ High
2025-09-28 08:00:00 0.25696 ↓ Low
2025-09-28 18:00:00 0.27138 ↑ High
2025-09-29 09:00:00 0.2615 ↓ Low
2025-09-29 11:00:00 0.27068 ↑ High
2025-09-29 17:00:00 0.27052 ↑ High
2025-09-30 09:00:00 0.26332 ↑ High
2025-09-30 11:00:00 0.25757 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Sep 2025
15:03:34		 30 Sep 2025
15:30:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2618 0.2626 0.2601 2.12 0.08604
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 0.2618
  • Stop Loss: 0.2626
  • Take Profit: 0.2601

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2626 - 0.2618 = 0.00080000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2618 - 0.2601 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.00080000000000002 = 2.125

📌 Position Size

Amount Margin Quantity Leverage
2535.2739 100 9684.0102 25.35
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 0.00080000000000002

Taille de position = 8 / 0.00080000000000002 = 10000

Taille de position USD = 10000 x 0.2618 = 2618

Donc, tu peux acheter 10000 avec un stoploss a 0.2626

Avec un position size USD de 2618$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0017 = 17

Si Take Profit atteint, tu gagneras 17$

Résumé

  • Taille de position 10000
  • Taille de position USD 2618
  • Perte potentielle 8
  • Gain potentiel 17
  • Risk-Reward Ratio 2.125

📌 Peformances

TP % Target TP $ Target
0.65 % 16.46 $
SL % Target SL $ Target
0.31 % 7.75 $
PNL PNL %
-7.75 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4163 % 136.22 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2601
            [entry_price] => 0.2618
            [stop_loss] => 0.26268
            [rr_ratio] => 1.93
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2601
            [entry_price] => 0.2618
            [stop_loss] => 0.26276
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2601
            [entry_price] => 0.2618
            [stop_loss] => 0.26284
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2601
            [entry_price] => 0.2618
            [stop_loss] => 0.263
            [rr_ratio] => 1.42
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00072
            [max_drawdown] => 0.0051
            [rr_ratio] => 0.14
            [high] => 0.26690000
            [low] => 0.26108000
            [mfe_pct] => 0.28
            [mae_pct] => 1.95
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:03:34-04:00
            [end_at] => 2025-09-30T17:03:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00072
            [max_drawdown] => 0.00524
            [rr_ratio] => 0.14
            [high] => 0.26704000
            [low] => 0.26108000
            [mfe_pct] => 0.28
            [mae_pct] => 2
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:03:34-04:00
            [end_at] => 2025-09-30T22:03:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.26182000
            [high_after] => 0.26704000
            [low_before] => 0.25757000
            [low_after] => 0.26108000
            [is_new_high] => 
            [is_new_low] => 
        )

)