Short Trade on MANA 10 Sep 2025 at 17:29:53

Take profit at 0.3186 (0.53 %) and Stop Loss at 0.3211 (0.25 %)

Short Trade on MANA

The 10 Sep 2025 at 17:29:53

With 9471.7255 MANA at 0.3203$ per unit.

Position size of 3033.7937 $

Take profit at 0.3186 (0.53 %) and Stop Loss at 0.3211 (0.25 %)

That's a 2.12 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.22
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.67
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 : 0.652003

15m : 0.012674

1H : -0.055564

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0005630793812
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.320466
  4. ema21 : 0.321009
  5. ema50 : 0.322063
  6. ema100 : 0.321997
  7. price_ema9_diff : -0.000519678
  8. ema9_ema21_diff : -0.00169169
  9. ema21_ema50_diff : -0.00327184
  10. price_ema100_diff : -0.00527218
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : 0.00940098
  14. ema_slope_21 : -0.00401224
  15. ema_slope_50 : -0.0155103
  16. ema_slope_100 : -0.00607612
  17. rsi : 0.475574
  18. adx : 0.151265
  19. kc_percentage : 0.446629
  20. kc_width_percentage : 0.0390392
  21. volume_ema_diff : -0.25319
  22. volume_ema1 : 232559.02820112
  23. volume_ema2 : 311403.47621972
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.319214
  28. ema21 : 0.319933
  29. ema50 : 0.320631
  30. ema100 : 0.320619
  31. price_ema9_diff : 0.00340031
  32. ema9_ema21_diff : -0.00224624
  33. ema21_ema50_diff : -0.0021788
  34. price_ema100_diff : -0.000996156
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0687589
  38. ema_slope_21 : -0.0618552
  39. ema_slope_50 : -0.0297942
  40. ema_slope_100 : -0.0131242
  41. rsi : 0.494242
  42. adx : 0.262968
  43. kc_percentage : 0.577505
  44. kc_width_percentage : 0.0170823
  45. volume_ema_diff : -0.596682
  46. volume_ema1 : 30741.600490501
  47. volume_ema2 : 76221.930864498
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.319583
  52. ema21 : 0.319087
  53. ema50 : 0.319691
  54. ema100 : 0.321027
  55. price_ema9_diff : 0.00224053
  56. ema9_ema21_diff : 0.00155519
  57. ema21_ema50_diff : -0.00188928
  58. price_ema100_diff : -0.00226469
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0418157
  62. ema_slope_21 : 0.0180007
  63. ema_slope_50 : -0.00685378
  64. ema_slope_100 : -0.0127648
  65. rsi : 0.627608
  66. adx : 0.335631
  67. kc_percentage : 1.0802
  68. kc_width_percentage : 0.00647081
  69. volume_ema_diff : -0.582996
  70. volume_ema1 : 8306.1976158706
  71. volume_ema2 : 19918.785958782
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113621
  77. 5m_price_ema100_diff:
    0.000183921
  78. 5m_price:
    113642
  79. 5m_correlation_with_coin:
    0.652003
  80. btc_indicators
  81. 15m_ema100:
    112676
  82. 15m_price_ema100_diff:
    0.00898023
  83. 15m_price:
    113688
  84. 15m_correlation_with_coin:
    0.012674
  85. btc_indicators
  86. 1H_ema100:
    111816
  87. 1H_price_ema100_diff:
    0.0163293
  88. 1H_price:
    113642
  89. 1H_correlation_with_coin:
    -0.055564
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
17:29:53
10 Sep 2025
18:05:00
35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3203 0.3211 0.3186 2.12 0.0966
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 0.3203
  • Stop Loss: 0.3211
  • Take Profit: 0.3186

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3211 - 0.3203 = 0.00080000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3203 - 0.3186 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.00080000000000002 = 2.125

📌 Position Size

Amount Margin Quantity Leverage
3033.7937 100 9471.7255 30.34
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 0.00080000000000002

Taille de position = 8 / 0.00080000000000002 = 10000

Taille de position USD = 10000 x 0.3203 = 3203

Donc, tu peux acheter 10000 avec un stoploss a 0.3211

Avec un position size USD de 3203$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0017 = 17

Si Take Profit atteint, tu gagneras 17$

Résumé

  • Taille de position 10000
  • Taille de position USD 3203
  • Perte potentielle 8
  • Gain potentiel 17
  • Risk-Reward Ratio 2.125

📌 Peformances

TP % Target TP $ Target
0.53 % 16.1 $
SL % Target SL $ Target
0.25 % 7.58 $
PNL PNL %
-7.58 $ -0.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2498 % 100 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3186
            [entry_price] => 0.3203
            [stop_loss] => 0.32118
            [rr_ratio] => 1.93
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 19:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3186
            [entry_price] => 0.3203
            [stop_loss] => 0.32126
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 19:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3186
            [entry_price] => 0.3203
            [stop_loss] => 0.32134
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 19:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3186
            [entry_price] => 0.3203
            [stop_loss] => 0.3215
            [rr_ratio] => 1.42
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 19:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00029999999999997
            [max_drawdown] => 0.0013
            [rr_ratio] => 0.23
            [high] => 0.32160000
            [low] => 0.32000000
            [mfe_pct] => 0.09
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T17:29:53-04:00
            [end_at] => 2025-09-10T19:29:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00029999999999997
            [max_drawdown] => 0.005
            [rr_ratio] => 0.06
            [high] => 0.32530000
            [low] => 0.32000000
            [mfe_pct] => 0.09
            [mae_pct] => 1.56
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T17:29:53-04:00
            [end_at] => 2025-09-11T00:29:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.32220000
            [high_after] => 0.32440000
            [low_before] => 0.31550000
            [low_after] => 0.32000000
            [is_new_high] => 
            [is_new_low] => 
        )

)