Short Trade on MANA 16 Sep 2025 at 01:36:07

Take profit at 0.3334 (0.71 %) and Stop Loss at 0.337 (0.36 %)

Short Trade on MANA

The 16 Sep 2025 at 01:36:07

With 6609.426 MANA at 0.3358$ per unit.

Position size of 2219.4453 $

Take profit at 0.3334 (0.71 %) and Stop Loss at 0.337 (0.36 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.28
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.84
Prediction 3 Probability
0 0.93
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.634553

15m : -0.202061

1H : 0.114534

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0008069283625
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.334381
  4. ema21 : 0.336855
  5. ema50 : 0.341825
  6. ema100 : 0.34143
  7. price_ema9_diff : 0.00424339
  8. ema9_ema21_diff : -0.00734431
  9. ema21_ema50_diff : -0.0145395
  10. price_ema100_diff : -0.0164904
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.056451
  14. ema_slope_21 : -0.144445
  15. ema_slope_50 : -0.115767
  16. ema_slope_100 : -0.049007
  17. rsi : 0.444832
  18. adx : 0.382864
  19. kc_percentage : 0.445734
  20. kc_width_percentage : 0.0436214
  21. volume_ema_diff : -0.50387
  22. volume_ema1 : 232290.03962585
  23. volume_ema2 : 468204.77633004
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.334376
  28. ema21 : 0.334272
  29. ema50 : 0.335005
  30. ema100 : 0.338684
  31. price_ema9_diff : 0.00425635
  32. ema9_ema21_diff : 0.000313239
  33. ema21_ema50_diff : -0.00219057
  34. price_ema100_diff : -0.00851725
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.026498
  38. ema_slope_21 : -0.0125629
  39. ema_slope_50 : -0.0159972
  40. ema_slope_100 : -0.0315446
  41. rsi : 0.556709
  42. adx : 0.154967
  43. kc_percentage : 0.717595
  44. kc_width_percentage : 0.020881
  45. volume_ema_diff : -0.416206
  46. volume_ema1 : 43061.52012386
  47. volume_ema2 : 73761.527357929
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.33479
  52. ema21 : 0.334171
  53. ema50 : 0.334168
  54. ema100 : 0.334171
  55. price_ema9_diff : 0.00301647
  56. ema9_ema21_diff : 0.00185165
  57. ema21_ema50_diff : 7.20692E-6
  58. price_ema100_diff : 0.00487282
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0603711
  62. ema_slope_21 : 0.022923
  63. ema_slope_50 : 0.00371514
  64. ema_slope_100 : 0.00113313
  65. rsi : 0.630763
  66. adx : 0.235882
  67. kc_percentage : 1.03192
  68. kc_width_percentage : 0.00901939
  69. volume_ema_diff : -0.575117
  70. volume_ema1 : 9062.0252838195
  71. volume_ema2 : 21328.333719976
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115289
  77. 5m_price_ema100_diff:
    0.0035371
  78. 5m_price:
    115697
  79. 5m_correlation_with_coin:
    0.634553
  80. btc_indicators
  81. 15m_ema100:
    115292
  82. 15m_price_ema100_diff:
    0.00350559
  83. 15m_price:
    115697
  84. 15m_correlation_with_coin:
    -0.202061
  85. btc_indicators
  86. 1H_ema100:
    115409
  87. 1H_price_ema100_diff:
    0.00249309
  88. 1H_price:
    115697
  89. 1H_correlation_with_coin:
    0.114534
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
01:36:07
16 Sep 2025
02:00:00
23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3358 0.337 0.3334 2 0.1001
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 0.3358
  • Stop Loss: 0.337
  • Take Profit: 0.3334

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.337 - 0.3358 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3358 - 0.3334 = 0.0024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0024 / 0.0012 = 2

📌 Position Size

Amount Margin Quantity Leverage
2219.4453 100 6609.426 22.19
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.3358 = 2238.67

Donc, tu peux acheter 6666.67 avec un stoploss a 0.337

Avec un position size USD de 2238.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 2238.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.71 % 15.86 $
SL % Target SL $ Target
0.36 % 7.93 $
PNL PNL %
-7.93 $ -0.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4467 % 124.99 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3334
            [entry_price] => 0.3358
            [stop_loss] => 0.33712
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 02:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3334
            [entry_price] => 0.3358
            [stop_loss] => 0.33724
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 02:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3334
            [entry_price] => 0.3358
            [stop_loss] => 0.33736
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 02:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3334
            [entry_price] => 0.3358
            [stop_loss] => 0.3376
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 03:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0022
            [max_drawdown] => 0.0016
            [rr_ratio] => 1.38
            [high] => 0.33740000
            [low] => 0.33360000
            [mfe_pct] => 0.66
            [mae_pct] => 0.48
            [mfe_mae_ratio] => 1.38
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T01:36:07-04:00
            [end_at] => 2025-09-16T03:36:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0022
            [max_drawdown] => 0.0076
            [rr_ratio] => 0.29
            [high] => 0.34340000
            [low] => 0.33360000
            [mfe_pct] => 0.66
            [mae_pct] => 2.26
            [mfe_mae_ratio] => 0.29
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T01:36:07-04:00
            [end_at] => 2025-09-16T08:36:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.33720000
            [high_after] => 0.34270000
            [low_before] => 0.32950000
            [low_after] => 0.33360000
            [is_new_high] => 
            [is_new_low] => 
        )

)