Short Trade on SAND 22 Sep 2025 at 17:47:41

Take profit at 0.2701 (0.63 %) and Stop Loss at 0.2727 (0.33 %)

Short Trade on SAND

The 22 Sep 2025 at 17:47:41

With 9161.48 SAND at 0.2718$ per unit.

Position size of 2490.4567 $

Take profit at 0.2701 (0.63 %) and Stop Loss at 0.2727 (0.33 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.95
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.44
Prediction 3 Probability
1 0.73
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

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 : 0.549035

15m : 0.128073

1H : -0.121824

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 0.0005821475714
Details
  1. score: 1.23
  2. 1H
  3. ema9 : 0.270674
  4. ema21 : 0.274901
  5. ema50 : 0.284094
  6. ema100 : 0.293101
  7. price_ema9_diff : 0.00430527
  8. ema9_ema21_diff : -0.0153761
  9. ema21_ema50_diff : -0.0323576
  10. price_ema100_diff : -0.0725398
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.179488
  14. ema_slope_21 : -0.277866
  15. ema_slope_50 : -0.236859
  16. ema_slope_100 : -0.169559
  17. rsi : 0.393903
  18. adx : 0.653931
  19. kc_percentage : 0.305229
  20. kc_width_percentage : 0.0504022
  21. volume_ema_diff : -0.361428
  22. volume_ema1 : 391419.86361394
  23. volume_ema2 : 612961.83328728
  24. chop : 73.1179
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.270317
  29. ema21 : 0.269997
  30. ema50 : 0.271656
  31. ema100 : 0.276317
  32. price_ema9_diff : 0.00563277
  33. ema9_ema21_diff : 0.00118436
  34. ema21_ema50_diff : -0.00610752
  35. price_ema100_diff : -0.016203
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0147486
  39. ema_slope_21 : -0.0196413
  40. ema_slope_50 : -0.0425706
  41. ema_slope_100 : -0.0571521
  42. rsi : 0.599647
  43. adx : 0.249811
  44. kc_percentage : 0.901788
  45. kc_width_percentage : 0.0169974
  46. volume_ema_diff : -0.638677
  47. volume_ema1 : 52089.630897413
  48. volume_ema2 : 144163.6864466
  49. chop : 45.655
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.27116
  54. ema21 : 0.270194
  55. ema50 : 0.269767
  56. ema100 : 0.270133
  57. price_ema9_diff : 0.00250596
  58. ema9_ema21_diff : 0.00357449
  59. ema21_ema50_diff : 0.0015847
  60. price_ema100_diff : 0.00631803
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0790173
  64. ema_slope_21 : 0.0556977
  65. ema_slope_50 : 0.0210765
  66. ema_slope_100 : 0.00567561
  67. rsi : 0.720476
  68. adx : 0.366033
  69. kc_percentage : 1.23357
  70. kc_width_percentage : 0.00798548
  71. volume_ema_diff : -0.596506
  72. volume_ema1 : 13036.322255213
  73. volume_ema2 : 32308.632653025
  74. chop : 41.8365
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112575
  80. 5m_price_ema100_diff:
    0.00251944
  81. 5m_price:
    112859
  82. 5m_correlation_with_coin:
    0.549035
  83. btc_indicators
  84. 15m_ema100:
    113256
  85. 15m_price_ema100_diff:
    -0.0035083
  86. 15m_price:
    112859
  87. 15m_correlation_with_coin:
    0.128073
  88. btc_indicators
  89. 1H_ema100:
    115036
  90. 1H_price_ema100_diff:
    -0.0189236
  91. 1H_price:
    112859
  92. 1H_correlation_with_coin:
    -0.121824
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:47:41
22 Sep 2025
19:35:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2718 0.2727 0.2701 1.89 0.08502
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 0.2718
  • Stop Loss: 0.2727
  • Take Profit: 0.2701

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2727 - 0.2718 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2718 - 0.2701 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.00090000000000001 = 1.8889

📌 Position Size

Amount Margin Quantity Leverage
2490.4567 100 9161.48 24.90
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 0.00090000000000001

Taille de position = 8 / 0.00090000000000001 = 8888.89

Taille de position USD = 8888.89 x 0.2718 = 2416

Donc, tu peux acheter 8888.89 avec un stoploss a 0.2727

Avec un position size USD de 2416$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0017 = 15.11

Si Take Profit atteint, tu gagneras 15.11$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 2416
  • Perte potentielle 8
  • Gain potentiel 15.11
  • Risk-Reward Ratio 1.8889

📌 Peformances

TP % Target TP $ Target
0.63 % 15.57 $
SL % Target SL $ Target
0.33 % 8.25 $
PNL PNL %
-8.25 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3532 % 106.67 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2701
            [entry_price] => 0.2718
            [stop_loss] => 0.27279
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 19:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2701
            [entry_price] => 0.2718
            [stop_loss] => 0.27288
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 19:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2701
            [entry_price] => 0.2718
            [stop_loss] => 0.27297
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 19:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2701
            [entry_price] => 0.2718
            [stop_loss] => 0.27315
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00068999999999997
            [max_drawdown] => 0.00117
            [rr_ratio] => 0.59
            [high] => 0.27297000
            [low] => 0.27111000
            [mfe_pct] => 0.25
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:47:41-04:00
            [end_at] => 2025-09-22T19:47:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00472
            [max_drawdown] => 0.00192
            [rr_ratio] => 2.46
            [high] => 0.27372000
            [low] => 0.26708000
            [mfe_pct] => 1.74
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 2.46
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T17:47:41-04:00
            [end_at] => 2025-09-23T00:47:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27203000
            [high_after] => 0.27372000
            [low_before] => 0.26630000
            [low_after] => 0.26708000
            [is_new_high] => 
            [is_new_low] => 
        )

)