Short Trade on SAND 23 Jul 2025 at 23:44:13

Take profit at 0.307 (0.78 %) and Stop Loss at 0.311 (0.52 %)

Short Trade on SAND

The 23 Jul 2025 at 23:44:13

With 5001.0537 SAND at 0.3094$ per unit.

Position size of 1547.5261 $

Take profit at 0.307 (0.78 %) and Stop Loss at 0.311 (0.52 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 8
Prediction Score: 2.4167
Prediction 1 Probability
Strong Trade
0.6
Prediction 2 Probability
2 0.38
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.717654

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.001066441921
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 0.307445
  4. ema21 : 0.313347
  5. ema50 : 0.323279
  6. ema100 : 0.329037
  7. price_ema9_diff : 0.00648614
  8. ema9_ema21_diff : -0.0188341
  9. ema21_ema50_diff : -0.0307227
  10. price_ema100_diff : -0.0595605
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.395678
  14. kc_percentage : 0.34016
  15. kc_width_percentage : 0.0688835
  16. volume_ema_diff : -0.45611
  17. volume_ema1 : 489502.35477983
  18. volume_ema2 : 900002.59727014
  19. ¸
  20. 15m
  21. ema9 : 0.306876
  22. ema21 : 0.306026
  23. ema50 : 0.308617
  24. ema100 : 0.315289
  25. price_ema9_diff : 0.00835261
  26. ema9_ema21_diff : 0.00277958
  27. ema21_ema50_diff : -0.00839643
  28. price_ema100_diff : -0.0185527
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.589403
  32. kc_percentage : 0.893078
  33. kc_width_percentage : 0.0279733
  34. volume_ema_diff : -0.696162
  35. volume_ema1 : 61649.52205985
  36. volume_ema2 : 202903.06110525
  37. ¸
  38. 5m
  39. ema9 : 0.308093
  40. ema21 : 0.307056
  41. ema50 : 0.305948
  42. ema100 : 0.305148
  43. price_ema9_diff : 0.00437007
  44. ema9_ema21_diff : 0.00337832
  45. ema21_ema50_diff : 0.0036206
  46. price_ema100_diff : 0.0140644
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.715874
  50. kc_percentage : 1.04903
  51. kc_width_percentage : 0.0136794
  52. volume_ema_diff : -0.51462
  53. volume_ema1 : 20763.153242669
  54. volume_ema2 : 42777.153845809
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    118674
  59. 5m_price_ema100_diff:
    0.00203966
  60. 5m_price:
    118916
  61. 5m_correlation_with_coin:
    0.717654
  62. btc_indicators
  63. 15m_ema100:
    118525
  64. 15m_price_ema100_diff:
    0.00490007
  65. 15m_price:
    119106
  66. btc_indicators
  67. 1H_ema100:
    118335
  68. 1H_price_ema100_diff:
    0.00491477
  69. 1H_price:
    118916
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Jul 2025
23:44:13
23 Jul 2025
23:45:00
47 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3094 0.311 0.307 1.5 0.08701
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 0.3094
  • Stop Loss: 0.311
  • Take Profit: 0.307

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.311 - 0.3094 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3094 - 0.307 = 0.0024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0024 / 0.0016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1547.5261 100 5001.0537 15.48
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.3094 = 1547

Donc, tu peux acheter 5000 avec un stoploss a 0.311

Avec un position size USD de 1547$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 5000
  • Taille de position USD 1547
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.78 % 12 $
SL % Target SL $ Target
0.52 % 8 $
PNL PNL %
12 $ 0.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3062
            [stop_loss] => 0.311
            [rr_ratio] => 2
            [closed_at] => 2025-07-23 23:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.3054
            [stop_loss] => 0.311
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-24 00:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3046
            [stop_loss] => 0.311
            [rr_ratio] => 3
            [closed_at] => 2025-07-24 00:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.3038
            [stop_loss] => 0.311
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-24 00:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.303
            [stop_loss] => 0.311
            [rr_ratio] => 4
            [closed_at] => 2025-07-24 00:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.3022
            [stop_loss] => 0.311
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-24 00:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.3014
            [stop_loss] => 0.311
            [rr_ratio] => 5
            [closed_at] => 2025-07-24 00:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.3006
            [stop_loss] => 0.311
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-24 00:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2998
            [stop_loss] => 0.311
            [rr_ratio] => 6
            [closed_at] => 2025-07-24 01:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.299
            [stop_loss] => 0.311
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-24 01:05:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.2982
            [stop_loss] => 0.311
            [rr_ratio] => 7
            [closed_at] => 2025-07-24 01:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.01224
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.30909000
            [low] => 0.29716000
            [mfe_pct] => 3.96
            [mae_pct] => -0.1
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-07-23T23:44:13-04:00
            [end_at] => 2025-07-24T01:44:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0234
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.30909000
            [low] => 0.28600000
            [mfe_pct] => 7.56
            [mae_pct] => -0.1
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-07-23T23:44:13-04:00
            [end_at] => 2025-07-24T05:44:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.30962000
            [high_after] => 0.30909000
            [low_before] => 0.30057000
            [low_after] => 0.28600000
            [is_new_high] => 
            [is_new_low] => 1
        )

)