Short Trade on SAHARA 10 Sep 2025 at 18:46:55

Take profit at 0.09211 (0.53 %) and Stop Loss at 0.09284 (0.26 %)

Short Trade on SAHARA

The 10 Sep 2025 at 18:46:55

With 32846.2012 SAHARA at 0.0926$ per unit.

Position size of 3041.5582 $

Take profit at 0.09211 (0.53 %) and Stop Loss at 0.09284 (0.26 %)

That's a 2.04 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.33
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.37
Prediction 3 Probability
0 0.58
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.485478

15m : 0.010786

1H : 0.01953

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.000162372912
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.0923718
  4. ema21 : 0.092944
  5. ema50 : 0.0935234
  6. ema100 : 0.093349
  7. price_ema9_diff : 0.0024698
  8. ema9_ema21_diff : -0.00615656
  9. ema21_ema50_diff : -0.00619547
  10. price_ema100_diff : -0.00802455
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0657247
  14. ema_slope_21 : -0.0887764
  15. ema_slope_50 : -0.0527406
  16. ema_slope_100 : -0.0184349
  17. rsi : 0.459173
  18. adx : 0.127771
  19. kc_percentage : 0.422454
  20. kc_width_percentage : 0.0417243
  21. volume_ema_diff : -0.690542
  22. volume_ema1 : 163366.72407045
  23. volume_ema2 : 527913.54385174
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0922341
  28. ema21 : 0.0921781
  29. ema50 : 0.0924799
  30. ema100 : 0.0927896
  31. price_ema9_diff : 0.00396706
  32. ema9_ema21_diff : 0.000607482
  33. ema21_ema50_diff : -0.00326382
  34. price_ema100_diff : -0.00204423
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0298041
  38. ema_slope_21 : -0.0185773
  39. ema_slope_50 : -0.0268073
  40. ema_slope_100 : -0.0200668
  41. rsi : 0.570347
  42. adx : 0.209297
  43. kc_percentage : 0.825153
  44. kc_width_percentage : 0.0142703
  45. volume_ema_diff : -0.644225
  46. volume_ema1 : 20941.041446778
  47. volume_ema2 : 58860.380223455
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.0924952
  52. ema21 : 0.0922344
  53. ema50 : 0.0921207
  54. ema100 : 0.092403
  55. price_ema9_diff : 0.00113261
  56. ema9_ema21_diff : 0.00282788
  57. ema21_ema50_diff : 0.0012343
  58. price_ema100_diff : 0.00213105
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0707683
  62. ema_slope_21 : 0.0520507
  63. ema_slope_50 : 0.0196528
  64. ema_slope_100 : 0.00140841
  65. rsi : 0.690645
  66. adx : 0.382027
  67. kc_percentage : 1.08317
  68. kc_width_percentage : 0.00647004
  69. volume_ema_diff : -0.622756
  70. volume_ema1 : 4739.0692295132
  71. volume_ema2 : 12562.362067118
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113693
  77. 5m_price_ema100_diff:
    0.000220255
  78. 5m_price:
    113718
  79. 5m_correlation_with_coin:
    0.485478
  80. btc_indicators
  81. 15m_ema100:
    112841
  82. 15m_price_ema100_diff:
    0.00776926
  83. 15m_price:
    113718
  84. 15m_correlation_with_coin:
    0.010786
  85. btc_indicators
  86. 1H_ema100:
    111831
  87. 1H_price_ema100_diff:
    0.0168736
  88. 1H_price:
    113718
  89. 1H_correlation_with_coin:
    0.01953
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
18:46:55
10 Sep 2025
19:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0926 0.09284 0.09211 2.04 0.01507
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 0.0926
  • Stop Loss: 0.09284
  • Take Profit: 0.09211

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09284 - 0.0926 = 0.00024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0926 - 0.09211 = 0.00049

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00049 / 0.00024 = 2.0417

📌 Position Size

Amount Margin Quantity Leverage
3041.5582 100 32846.2012 30.42
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 0.00024

Taille de position = 8 / 0.00024 = 33333.33

Taille de position USD = 33333.33 x 0.0926 = 3086.67

Donc, tu peux acheter 33333.33 avec un stoploss a 0.09284

Avec un position size USD de 3086.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 33333.33 x 0.00024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 33333.33 x 0.00049 = 16.33

Si Take Profit atteint, tu gagneras 16.33$

Résumé

  • Taille de position 33333.33
  • Taille de position USD 3086.67
  • Perte potentielle 8
  • Gain potentiel 16.33
  • Risk-Reward Ratio 2.0417

📌 Peformances

TP % Target TP $ Target
0.53 % 16.09 $
SL % Target SL $ Target
0.26 % 7.88 $
PNL PNL %
-7.88 $ -0.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3672 % 141.67 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.09211
            [entry_price] => 0.0926
            [stop_loss] => 0.092864
            [rr_ratio] => 1.86
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 19:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.09211
            [entry_price] => 0.0926
            [stop_loss] => 0.092888
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 19:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.09211
            [entry_price] => 0.0926
            [stop_loss] => 0.092912
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 19:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.09211
            [entry_price] => 0.0926
            [stop_loss] => 0.09296
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 20:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00015
            [max_drawdown] => 0.0009
            [rr_ratio] => 0.17
            [high] => 0.09350000
            [low] => 0.09245000
            [mfe_pct] => 0.16
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T18:46:55-04:00
            [end_at] => 2025-09-10T20:46:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00041000000000001
            [max_drawdown] => 0.00128
            [rr_ratio] => 0.32
            [high] => 0.09388000
            [low] => 0.09219000
            [mfe_pct] => 0.44
            [mae_pct] => 1.38
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T18:46:55-04:00
            [end_at] => 2025-09-11T01:46:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09268000
            [high_after] => 0.09388000
            [low_before] => 0.09095000
            [low_after] => 0.09219000
            [is_new_high] => 
            [is_new_low] => 
        )

)