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Short Trade on FLUID

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Short Trade on FLUID 29 Sep 2025 at 13:43:25

Take profit at 5.4131 (1.81 %) and Stop Loss at 5.563 (0.91 %)

Short Trade on FLUID

The 29 Sep 2025 at 13:43:25

With 160.1501 FLUID at 5.513$ per unit.

Position size of 882.9075 $

Take profit at 5.4131 (1.81 %) and Stop Loss at 5.563 (0.91 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.11
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.59
Prediction 2 Probability
1 0.69
Prediction 3 Probability
0 0.95
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.400388

15m : -0.013261

1H : 0.034233

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.03330209282
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 5.56304
  4. ema21 : 5.68145
  5. ema50 : 5.80714
  6. ema100 : 5.87841
  7. price_ema9_diff : -0.0089966
  8. ema9_ema21_diff : -0.0208413
  9. ema21_ema50_diff : -0.0216431
  10. price_ema100_diff : -0.0621624
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.448758
  14. ema_slope_21 : -0.29416
  15. ema_slope_50 : -0.171838
  16. ema_slope_100 : -0.098916
  17. rsi : 0.369667
  18. adx : 0.308525
  19. kc_percentage : 0.128248
  20. kc_width_percentage : 0.0787406
  21. volume_ema_diff : -0.0752273
  22. volume_ema1 : 367343.83395695
  23. volume_ema2 : 397226.11041921
  24. chop : 31.8527
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 5.42499
  28. ema21 : 5.4894
  29. ema50 : 5.6075
  30. ema100 : 5.70974
  31. price_ema9_diff : 0.0162216
  32. ema9_ema21_diff : -0.0117338
  33. ema21_ema50_diff : -0.0210596
  34. price_ema100_diff : -0.0344574
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.177001
  38. ema_slope_21 : -0.163941
  39. ema_slope_50 : -0.14332
  40. ema_slope_100 : -0.100789
  41. rsi : 0.2697
  42. adx : 0.445885
  43. kc_percentage : 0.659877
  44. kc_width_percentage : 0.0324803
  45. volume_ema_diff : -0.0954496
  46. volume_ema1 : 83856.453331087
  47. volume_ema2 : 92705.126585641
  48. chop : 38.661
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 5.41934
  52. ema21 : 5.43611
  53. ema50 : 5.47963
  54. ema100 : 5.55019
  55. price_ema9_diff : 0.0172818
  56. ema9_ema21_diff : -0.00308473
  57. ema21_ema50_diff : -0.00794341
  58. price_ema100_diff : -0.00670208
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.0780679
  62. ema_slope_21 : -0.0751663
  63. ema_slope_50 : -0.0615445
  64. ema_slope_100 : -0.055149
  65. rsi : 0.620823
  66. adx : 0.359335
  67. kc_percentage : 1.02505
  68. kc_width_percentage : 0.0271201
  69. volume_ema_diff : 0.718702
  70. volume_ema1 : 57388.004234527
  71. volume_ema2 : 33390.31098248
  72. chop : 19.1039
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113127
  77. 5m_price_ema100_diff: 
    0.00655469
  78. 5m_price: 
    113869
  79. 5m_correlation_with_coin: 
    0.400388
  80. btc_indicators
  81. 15m_ema100: 
    112093
  82. 15m_price_ema100_diff: 
    0.01483
  83. 15m_price: 
    113756
  84. 15m_correlation_with_coin: 
    -0.013261
  85. btc_indicators
  86. 1H_ema100: 
    110768
  87. 1H_price_ema100_diff: 
    0.0279963
  88. 1H_price: 
    113869
  89. 1H_correlation_with_coin: 
    0.034233
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
13:43:25		 29 Sep 2025
13:55:00		 11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.513 5.563 5.4131 2 2.172
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 5.513
  • Stop Loss: 5.563
  • Take Profit: 5.4131

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.563 - 5.513 = 0.05

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.513 - 5.4131 = 0.0999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0999 / 0.05 = 1.998

📌 Position Size

Amount Margin Quantity Leverage
882.9075 100 160.1501 8.83
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 0.05

Taille de position = 8 / 0.05 = 160

Taille de position USD = 160 x 5.513 = 882.08

Donc, tu peux acheter 160 avec un stoploss a 5.563

Avec un position size USD de 882.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 160 x 0.05 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 160 x 0.0999 = 15.98

Si Take Profit atteint, tu gagneras 15.98$

Résumé

  • Taille de position 160
  • Taille de position USD 882.08
  • Perte potentielle 8
  • Gain potentiel 15.98
  • Risk-Reward Ratio 1.998

📌 Peformances

TP % Target TP $ Target
1.81 % 16 $
SL % Target SL $ Target
0.91 % 8.01 $
PNL PNL %
-8.01 $ -0.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9069 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.4131
            [entry_price] => 5.513
            [stop_loss] => 5.568
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 15:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.4131
            [entry_price] => 5.513
            [stop_loss] => 5.573
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 15:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.4131
            [entry_price] => 5.513
            [stop_loss] => 5.578
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 15:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 5.4131
            [entry_price] => 5.513
            [stop_loss] => 5.588
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 15:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.133
            [rr_ratio] => 0.1
            [high] => 5.64600000
            [low] => 5.50000000
            [mfe_pct] => 0.24
            [mae_pct] => 2.41
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T13:43:25-04:00
            [end_at] => 2025-09-29T15:43:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.271
            [rr_ratio] => 0.05
            [high] => 5.78400000
            [low] => 5.50000000
            [mfe_pct] => 0.24
            [mae_pct] => 4.92
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T13:43:25-04:00
            [end_at] => 2025-09-29T20:43:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.59900000
            [high_after] => 5.78400000
            [low_before] => 5.34700000
            [low_after] => 5.50000000
            [is_new_high] => 
            [is_new_low] => 
        )

)