Short Trade on SAHARA 15 Sep 2025 at 19:28:10

Take profit at 0.08763 (0.44 %) and Stop Loss at 0.08821 (0.22 %)

Short Trade on SAHARA

The 15 Sep 2025 at 19:28:10

With 41232.1864 SAHARA at 0.08802$ per unit.

Position size of 3629.257 $

Take profit at 0.08763 (0.44 %) and Stop Loss at 0.08821 (0.22 %)

That's a 2.05 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 5.22
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.76
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.361703

15m : -0.085595

1H : 0.117228

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0001293487879
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.0879879
  4. ema21 : 0.0889669
  5. ema50 : 0.090333
  6. ema100 : 0.0909385
  7. price_ema9_diff : 0.000363743
  8. ema9_ema21_diff : -0.0110034
  9. ema21_ema50_diff : -0.0151228
  10. price_ema100_diff : -0.0320936
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.240529
  14. ema_slope_21 : -0.212484
  15. ema_slope_50 : -0.133628
  16. ema_slope_100 : -0.0730917
  17. rsi : 0.389129
  18. adx : 0.429281
  19. kc_percentage : 0.24545
  20. kc_width_percentage : 0.0388864
  21. volume_ema_diff : -0.681842
  22. volume_ema1 : 139594.66232373
  23. volume_ema2 : 438760.198094
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0877181
  28. ema21 : 0.0877007
  29. ema50 : 0.0882758
  30. ema100 : 0.0892789
  31. price_ema9_diff : 0.00344118
  32. ema9_ema21_diff : 0.000197807
  33. ema21_ema50_diff : -0.00651407
  34. price_ema100_diff : -0.0141014
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0250878
  38. ema_slope_21 : 0.00332722
  39. ema_slope_50 : -0.0330486
  40. ema_slope_100 : -0.0397693
  41. rsi : 0.510204
  42. adx : 0.224032
  43. kc_percentage : 0.794558
  44. kc_width_percentage : 0.0126081
  45. volume_ema_diff : -0.878773
  46. volume_ema1 : 11579.416274825
  47. volume_ema2 : 95519.141607663
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.087808
  52. ema21 : 0.0877359
  53. ema50 : 0.0876566
  54. ema100 : 0.087736
  55. price_ema9_diff : 0.00241349
  56. ema9_ema21_diff : 0.000822342
  57. ema21_ema50_diff : 0.000904231
  58. price_ema100_diff : 0.00323689
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.000370156
  62. ema_slope_21 : 0.00149976
  63. ema_slope_50 : 0.00333589
  64. ema_slope_100 : -0.000851355
  65. rsi : 0.646679
  66. adx : 0.159033
  67. kc_percentage : 1.05529
  68. kc_width_percentage : 0.00572641
  69. volume_ema_diff : -0.401326
  70. volume_ema1 : 6374.9979608695
  71. volume_ema2 : 10648.543522261
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115092
  77. 5m_price_ema100_diff:
    0.00286603
  78. 5m_price:
    115422
  79. 5m_correlation_with_coin:
    0.361703
  80. btc_indicators
  81. 15m_ema100:
    115263
  82. 15m_price_ema100_diff:
    0.000611503
  83. 15m_price:
    115334
  84. 15m_correlation_with_coin:
    -0.085595
  85. btc_indicators
  86. 1H_ema100:
    115294
  87. 1H_price_ema100_diff:
    0.00110736
  88. 1H_price:
    115422
  89. 1H_correlation_with_coin:
    0.117228
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
19:28:10
15 Sep 2025
20:55:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.08802 0.08821 0.08763 2.05 0.01564
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 0.08802
  • Stop Loss: 0.08821
  • Take Profit: 0.08763

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08821 - 0.08802 = 0.00019

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08802 - 0.08763 = 0.00039

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00039 / 0.00019 = 2.0526

📌 Position Size

Amount Margin Quantity Leverage
3629.257 100 41232.1864 36.29
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 0.00019

Taille de position = 8 / 0.00019 = 42105.26

Taille de position USD = 42105.26 x 0.08802 = 3706.1

Donc, tu peux acheter 42105.26 avec un stoploss a 0.08821

Avec un position size USD de 3706.1$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 42105.26 x 0.00019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 42105.26 x 0.00039 = 16.42

Si Take Profit atteint, tu gagneras 16.42$

Résumé

  • Taille de position 42105.26
  • Taille de position USD 3706.1
  • Perte potentielle 8
  • Gain potentiel 16.42
  • Risk-Reward Ratio 2.0526

📌 Peformances

TP % Target TP $ Target
0.44 % 16.08 $
SL % Target SL $ Target
0.22 % 7.83 $
PNL PNL %
-7.83 $ -0.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.284 % 131.54 % 10

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08763
            [entry_price] => 0.08802
            [stop_loss] => 0.088229
            [rr_ratio] => 1.87
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 20:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08763
            [entry_price] => 0.08802
            [stop_loss] => 0.088248
            [rr_ratio] => 1.71
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 20:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08763
            [entry_price] => 0.08802
            [stop_loss] => 0.088267
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 20:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08763
            [entry_price] => 0.08802
            [stop_loss] => 0.088305
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 21:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00018
            [max_drawdown] => 0.00035
            [rr_ratio] => 0.51
            [high] => 0.08837000
            [low] => 0.08784000
            [mfe_pct] => 0.2
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T19:28:10-04:00
            [end_at] => 2025-09-15T21:28:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00164
            [max_drawdown] => 0.00035
            [rr_ratio] => 4.69
            [high] => 0.08837000
            [low] => 0.08638000
            [mfe_pct] => 1.86
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 4.69
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T19:28:10-04:00
            [end_at] => 2025-09-16T02:28:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08803000
            [high_after] => 0.08837000
            [low_before] => 0.08702000
            [low_after] => 0.08638000
            [is_new_high] => 
            [is_new_low] => 1
        )

)