Short Trade on SAND 17 Sep 2025 at 12:57:01

Take profit at 0.2974 (0.7 %) and Stop Loss at 0.3005 (0.33 %)

Short Trade on SAND

The 17 Sep 2025 at 12:57:01

With 7577.8866 SAND at 0.2995$ per unit.

Position size of 2269.3497 $

Take profit at 0.2974 (0.7 %) and Stop Loss at 0.3005 (0.33 %)

That's a 2.1 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.69
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.79
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.692556

15m : -0.076995

1H : 0.105064

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0007038022141
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.299098
  4. ema21 : 0.29961
  5. ema50 : 0.300842
  6. ema100 : 0.304488
  7. price_ema9_diff : 0.00124119
  8. ema9_ema21_diff : -0.00170828
  9. ema21_ema50_diff : -0.00409504
  10. price_ema100_diff : -0.0164826
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0430496
  14. ema_slope_21 : -0.02118
  15. ema_slope_50 : -0.0243472
  16. ema_slope_100 : -0.0370629
  17. rsi : 0.490733
  18. adx : 0.150638
  19. kc_percentage : 0.488001
  20. kc_width_percentage : 0.0331809
  21. volume_ema_diff : -0.34129
  22. volume_ema1 : 282765.39884811
  23. volume_ema2 : 429271.88229221
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.298069
  28. ema21 : 0.29843
  29. ema50 : 0.299162
  30. ema100 : 0.299785
  31. price_ema9_diff : 0.00469794
  32. ema9_ema21_diff : -0.00121069
  33. ema21_ema50_diff : -0.00244581
  34. price_ema100_diff : -0.00105085
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.036442
  38. ema_slope_21 : -0.0270149
  39. ema_slope_50 : -0.0197959
  40. ema_slope_100 : -0.0132748
  41. rsi : 0.504903
  42. adx : 0.253803
  43. kc_percentage : 0.709243
  44. kc_width_percentage : 0.0170675
  45. volume_ema_diff : -0.159604
  46. volume_ema1 : 56164.315247649
  47. volume_ema2 : 66830.82315092
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.298382
  52. ema21 : 0.298062
  53. ema50 : 0.298322
  54. ema100 : 0.298663
  55. price_ema9_diff : 0.00364407
  56. ema9_ema21_diff : 0.00107583
  57. ema21_ema50_diff : -0.000872691
  58. price_ema100_diff : 0.00269985
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.011235
  62. ema_slope_21 : -0.00596933
  63. ema_slope_50 : -0.00984358
  64. ema_slope_100 : -0.00748988
  65. rsi : 0.610535
  66. adx : 0.240308
  67. kc_percentage : 1.00716
  68. kc_width_percentage : 0.0092691
  69. volume_ema_diff : -0.185405
  70. volume_ema1 : 18697.495218293
  71. volume_ema2 : 22953.123423873
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116029
  77. 5m_price_ema100_diff:
    -0.00314623
  78. 5m_price:
    115664
  79. 5m_correlation_with_coin:
    0.692556
  80. btc_indicators
  81. 15m_ema100:
    116234
  82. 15m_price_ema100_diff:
    -0.00607672
  83. 15m_price:
    115528
  84. 15m_correlation_with_coin:
    -0.076995
  85. btc_indicators
  86. 1H_ema100:
    115848
  87. 1H_price_ema100_diff:
    -0.00159282
  88. 1H_price:
    115664
  89. 1H_correlation_with_coin:
    0.105064
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
12:57:01
17 Sep 2025
13:40:00
42 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2995 0.3005 0.2974 2.1 0.08438
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 0.2995
  • Stop Loss: 0.3005
  • Take Profit: 0.2974

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3005 - 0.2995 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2995 - 0.2974 = 0.0021

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0021 / 0.001 = 2.1

📌 Position Size

Amount Margin Quantity Leverage
2269.3497 100 7577.8866 22.69
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.2995 = 2396

Donc, tu peux acheter 8000 avec un stoploss a 0.3005

Avec un position size USD de 2396$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0021 = 16.8

Si Take Profit atteint, tu gagneras 16.8$

Résumé

  • Taille de position 8000
  • Taille de position USD 2396
  • Perte potentielle 8
  • Gain potentiel 16.8
  • Risk-Reward Ratio 2.1

📌 Peformances

TP % Target TP $ Target
0.7 % 15.91 $
SL % Target SL $ Target
0.33 % 7.58 $
PNL PNL %
-7.58 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9182 % 274.99 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2974
            [entry_price] => 0.2995
            [stop_loss] => 0.3006
            [rr_ratio] => 1.91
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2974
            [entry_price] => 0.2995
            [stop_loss] => 0.3007
            [rr_ratio] => 1.75
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2974
            [entry_price] => 0.2995
            [stop_loss] => 0.3008
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2974
            [entry_price] => 0.2995
            [stop_loss] => 0.301
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00246
            [max_drawdown] => 0.00335
            [rr_ratio] => 0.73
            [high] => 0.30285000
            [low] => 0.29704000
            [mfe_pct] => 0.82
            [mae_pct] => 1.12
            [mfe_mae_ratio] => 0.73
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T12:57:01-04:00
            [end_at] => 2025-09-17T14:57:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00246
            [max_drawdown] => 0.01343
            [rr_ratio] => 0.18
            [high] => 0.31293000
            [low] => 0.29704000
            [mfe_pct] => 0.82
            [mae_pct] => 4.48
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T12:57:01-04:00
            [end_at] => 2025-09-17T19:57:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.30061000
            [high_after] => 0.31260000
            [low_before] => 0.29556000
            [low_after] => 0.29704000
            [is_new_high] => 
            [is_new_low] => 
        )

)