Short Trade on SAND 04 Sep 2025 at 18:30:32

Take profit at 0.2724 (0.4 %) and Stop Loss at 0.274 (0.18 %)

Short Trade on SAND

The 04 Sep 2025 at 18:30:32

With 14870.3177 SAND at 0.2735$ per unit.

Position size of 4066.7345 $

Take profit at 0.2724 (0.4 %) and Stop Loss at 0.274 (0.18 %)

That's a 2.2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.16
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.89
Prediction 3 Probability
0 0.84
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.651471

15m : -0.19852

1H : 0.063346

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.0003586563145
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 0.27261
  4. ema21 : 0.274287
  5. ema50 : 0.275752
  6. ema100 : 0.276368
  7. price_ema9_diff : 0.00319075
  8. ema9_ema21_diff : -0.00611394
  9. ema21_ema50_diff : -0.005315
  10. price_ema100_diff : -0.0104533
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.123587
  14. ema_slope_21 : -0.110699
  15. ema_slope_50 : -0.0553402
  16. ema_slope_100 : -0.0287139
  17. rsi : 0.445302
  18. adx : 0.259863
  19. kc_percentage : 0.411252
  20. kc_width_percentage : 0.0284426
  21. volume_ema_diff : -0.526291
  22. volume_ema1 : 137690.31883559
  23. volume_ema2 : 290664.37260772
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.27259
  28. ema21 : 0.272212
  29. ema50 : 0.273192
  30. ema100 : 0.27522
  31. price_ema9_diff : 0.0032639
  32. ema9_ema21_diff : 0.00138828
  33. ema21_ema50_diff : -0.00358682
  34. price_ema100_diff : -0.00632474
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0508342
  38. ema_slope_21 : 0.00915562
  39. ema_slope_50 : -0.019118
  40. ema_slope_100 : -0.0255026
  41. rsi : 0.600075
  42. adx : 0.283209
  43. kc_percentage : 0.904798
  44. kc_width_percentage : 0.0114972
  45. volume_ema_diff : -0.639506
  46. volume_ema1 : 19440.632750787
  47. volume_ema2 : 53927.869038959
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 0.273087
  52. ema21 : 0.272581
  53. ema50 : 0.272075
  54. ema100 : 0.272115
  55. price_ema9_diff : 0.00143889
  56. ema9_ema21_diff : 0.00185392
  57. ema21_ema50_diff : 0.0018613
  58. price_ema100_diff : 0.00501613
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0362215
  62. ema_slope_21 : 0.0306098
  63. ema_slope_50 : 0.0171799
  64. ema_slope_100 : 0.00702095
  65. rsi : 0.691567
  66. adx : 0.294055
  67. kc_percentage : 1.14082
  68. kc_width_percentage : 0.00492511
  69. volume_ema_diff : -0.718198
  70. volume_ema1 : 3535.5258128311
  71. volume_ema2 : 12546.150167636
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110073
  77. 5m_price_ema100_diff:
    0.006222
  78. 5m_price:
    110758
  79. 5m_correlation_with_coin:
    0.651471
  80. btc_indicators
  81. 15m_ema100:
    110603
  82. 15m_price_ema100_diff:
    0.00140432
  83. 15m_price:
    110758
  84. 15m_correlation_with_coin:
    -0.19852
  85. btc_indicators
  86. 1H_ema100:
    110321
  87. 1H_price_ema100_diff:
    0.00396481
  88. 1H_price:
    110758
  89. 1H_correlation_with_coin:
    0.063346
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
18:30:32
04 Sep 2025
18:55:00
24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2735 0.274 0.2724 2.2 0.08196
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 0.2735
  • Stop Loss: 0.274
  • Take Profit: 0.2724

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.274 - 0.2735 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2735 - 0.2724 = 0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0011 / 0.0005 = 2.2

📌 Position Size

Amount Margin Quantity Leverage
4066.7345 100 14870.3177 40.67
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.2735 = 4376

Donc, tu peux acheter 16000 avec un stoploss a 0.274

Avec un position size USD de 4376$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.0011 = 17.6

Si Take Profit atteint, tu gagneras 17.6$

Résumé

  • Taille de position 16000
  • Taille de position USD 4376
  • Perte potentielle 8
  • Gain potentiel 17.6
  • Risk-Reward Ratio 2.2

📌 Peformances

TP % Target TP $ Target
0.4 % 16.36 $
SL % Target SL $ Target
0.18 % 7.44 $
PNL PNL %
-7.43 $ -0.18
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5229 % 286.05 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2724
            [entry_price] => 0.2735
            [stop_loss] => 0.27405
            [rr_ratio] => 2
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2724
            [entry_price] => 0.2735
            [stop_loss] => 0.2741
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2724
            [entry_price] => 0.2735
            [stop_loss] => 0.27415
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2724
            [entry_price] => 0.2735
            [stop_loss] => 0.27425
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00271
            [max_drawdown] => 0.00159
            [rr_ratio] => 1.7
            [high] => 0.27509000
            [low] => 0.27079000
            [mfe_pct] => 0.99
            [mae_pct] => 0.58
            [mfe_mae_ratio] => 1.7
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T18:30:32-04:00
            [end_at] => 2025-09-04T20:30:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00271
            [max_drawdown] => 0.00204
            [rr_ratio] => 1.33
            [high] => 0.27554000
            [low] => 0.27079000
            [mfe_pct] => 0.99
            [mae_pct] => 0.75
            [mfe_mae_ratio] => 1.33
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T18:30:32-04:00
            [end_at] => 2025-09-05T01:30:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27383000
            [high_after] => 0.27509000
            [low_before] => 0.26948000
            [low_after] => 0.27079000
            [is_new_high] => 
            [is_new_low] => 
        )

)