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Short Trade on SAHARA

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Short Trade on SAHARA 10 Sep 2025 at 08:38:18

Take profit at 0.09214 (0.97 %) and Stop Loss at 0.09349 (0.48 %)

Short Trade on SAHARA

The 10 Sep 2025 at 08:38:18

With 17737.3805 SAHARA at 0.09304$ per unit.

Position size of 1650.2859 $

Take profit at 0.09214 (0.97 %) and Stop Loss at 0.09349 (0.48 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.18
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
1 0.43
Prediction 3 Probability
0 0.64
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.494687

15m : 0.183874

1H : 0.080816

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0003006832566
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 0.0929383
  4. ema21 : 0.0937132
  5. ema50 : 0.0939679
  6. ema100 : 0.0932827
  7. price_ema9_diff : 0.00109363
  8. ema9_ema21_diff : -0.00826919
  9. ema21_ema50_diff : -0.0027104
  10. price_ema100_diff : -0.00260223
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.103955
  14. ema_slope_21 : -0.10721
  15. ema_slope_50 : -0.0366305
  16. ema_slope_100 : 0.0016728
  17. rsi : 0.443508
  18. adx : 0.174578
  19. kc_percentage : 0.362822
  20. kc_width_percentage : 0.0490415
  21. volume_ema_diff : -0.331516
  22. volume_ema1 : 447626.78246032
  23. volume_ema2 : 669615.22263081
  24. regime : range_high
    25. ¸
  25. 15m
  26. ema9 : 0.0922624
  27. ema21 : 0.0924873
  28. ema50 : 0.09316
  29. ema100 : 0.0941353
  30. price_ema9_diff : 0.00842771
  31. ema9_ema21_diff : -0.00243142
  32. ema21_ema50_diff : -0.00722084
  33. price_ema100_diff : -0.0116359
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0431376
  37. ema_slope_21 : -0.0750516
  38. ema_slope_50 : -0.0613631
  39. ema_slope_100 : -0.0505058
  40. rsi : 0.53368
  41. adx : 0.311506
  42. kc_percentage : 0.798304
  43. kc_width_percentage : 0.0208936
  44. volume_ema_diff : 0.427383
  45. volume_ema1 : 153515.7832592
  46. volume_ema2 : 107550.47284868
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.0924581
  50. ema21 : 0.0922285
  51. ema50 : 0.0923581
  52. ema100 : 0.0928232
  53. price_ema9_diff : 0.00629332
  54. ema9_ema21_diff : 0.00248933
  55. ema21_ema50_diff : -0.00140341
  56. price_ema100_diff : 0.00233488
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0523374
  60. ema_slope_21 : 0.0269541
  61. ema_slope_50 : -0.00274384
  62. ema_slope_100 : -0.013016
  63. rsi : 0.718715
  64. adx : 0.221374
  65. kc_percentage : 1.12031
  66. kc_width_percentage : 0.013922
  67. volume_ema_diff : 1.12564
  68. volume_ema1 : 92404.138591932
  69. volume_ema2 : 43471.146936833
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    112140
  74. 5m_price_ema100_diff: 
    0.00878397
  75. 5m_price: 
    113125
  76. 5m_correlation_with_coin: 
    0.494687
  77. btc_indicators
  78. 15m_ema100: 
    111907
  79. 15m_price_ema100_diff: 
    0.0123451
  80. 15m_price: 
    113288
  81. 15m_correlation_with_coin: 
    0.183874
  82. btc_indicators
  83. 1H_ema100: 
    111517
  84. 1H_price_ema100_diff: 
    0.0144233
  85. 1H_price: 
    113125
  86. 1H_correlation_with_coin: 
    0.080816
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
08:38:18		 10 Sep 2025
09:05:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.09304 0.09349 0.09214 2 0.01871
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 0.09304
  • Stop Loss: 0.09349
  • Take Profit: 0.09214

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09349 - 0.09304 = 0.00045000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.09304 - 0.09214 = 0.0009

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0009 / 0.00045000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1650.2859 100 17737.3805 16.50
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 0.00045000000000001

Taille de position = 8 / 0.00045000000000001 = 17777.78

Taille de position USD = 17777.78 x 0.09304 = 1654.04

Donc, tu peux acheter 17777.78 avec un stoploss a 0.09349

Avec un position size USD de 1654.04$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 17777.78 x 0.00045000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 17777.78 x 0.0009 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 17777.78
  • Taille de position USD 1654.04
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.97 % 15.96 $
SL % Target SL $ Target
0.48 % 7.98 $
PNL PNL %
-7.98 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6019 % 124.44 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.09214
            [entry_price] => 0.09304
            [stop_loss] => 0.093535
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 09:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.09214
            [entry_price] => 0.09304
            [stop_loss] => 0.09358
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 09:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.09214
            [entry_price] => 0.09304
            [stop_loss] => 0.093625
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 09:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.09214
            [entry_price] => 0.09304
            [stop_loss] => 0.093715
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 09:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00026
            [max_drawdown] => 0.00124
            [rr_ratio] => 0.21
            [high] => 0.09428000
            [low] => 0.09278000
            [mfe_pct] => 0.28
            [mae_pct] => 1.33
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T08:38:18-04:00
            [end_at] => 2025-09-10T10:38:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00209
            [max_drawdown] => 0.00124
            [rr_ratio] => 1.69
            [high] => 0.09428000
            [low] => 0.09095000
            [mfe_pct] => 2.25
            [mae_pct] => 1.33
            [mfe_mae_ratio] => 1.69
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T08:38:18-04:00
            [end_at] => 2025-09-10T15:38:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09344000
            [high_after] => 0.09428000
            [low_before] => 0.09129000
            [low_after] => 0.09191000
            [is_new_high] => 
            [is_new_low] => 
        )

)