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Short Trade on GIGGLE

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Short Trade on GIGGLE 03 Nov 2025 at 08:59:44

Take profit at 57.8927 (7.74 %) and Stop Loss at 65.1787 (3.87 %)

Short Trade on GIGGLE

The 03 Nov 2025 at 08:59:44

With 3.294 GIGGLE at 62.75$ per unit.

Position size of 206.6986 $

Take profit at 57.8927 (7.74 %) and Stop Loss at 65.1787 (3.87 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.46
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.65
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bear_high
BTC Correlation Score

5m : 0.164265

15m : -0.052163

1H : 0.060554

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 1.6191049
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 66.198
  4. ema21 : 73.0424
  5. ema50 : 81.4866
  6. ema100 : 89.4861
  7. price_ema9_diff : -0.052087
  8. ema9_ema21_diff : -0.0937038
  9. ema21_ema50_diff : -0.103627
  10. price_ema100_diff : -0.298774
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -1.69644
  14. ema_slope_21 : -1.1782
  15. ema_slope_50 : -0.737522
  16. ema_slope_100 : -0.485027
  17. rsi : 0.258438
  18. adx : 0.39255
  19. kc_percentage : 0.158819
  20. kc_width_percentage : 0.460454
  21. volume_ema_diff : 1.14986
  22. volume_ema1 : 1571542.0554429
  23. volume_ema2 : 730994.88223601
  24. chop : 1.2676
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 59.3889
  28. ema21 : 63.0952
  29. ema50 : 69.4505
  30. ema100 : 74.4219
  31. price_ema9_diff : 0.0565942
  32. ema9_ema21_diff : -0.0587409
  33. ema21_ema50_diff : -0.0915086
  34. price_ema100_diff : -0.156834
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -1.0625
  38. ema_slope_21 : -1.05862
  39. ema_slope_50 : -0.718075
  40. ema_slope_100 : -0.448148
  41. rsi : 0.380691
  42. adx : 0.22922
  43. kc_percentage : 0.497109
  44. kc_width_percentage : 0.228155
  45. volume_ema_diff : -0.550021
  46. volume_ema1 : 148234.10163642
  47. volume_ema2 : 329424.63375705
  48. chop : 72.9455
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 59.9503
  52. ema21 : 59.5681
  53. ema50 : 62.0288
  54. ema100 : 65.8321
  55. price_ema9_diff : 0.0467001
  56. ema9_ema21_diff : 0.00641587
  57. ema21_ema50_diff : -0.0396702
  58. price_ema100_diff : -0.0468177
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.164775
  62. ema_slope_21 : -0.02521
  63. ema_slope_50 : -0.224129
  64. ema_slope_100 : -0.222859
  65. rsi : 0.627285
  66. adx : 0.19598
  67. kc_percentage : 1.03883
  68. kc_width_percentage : 0.0949201
  69. volume_ema_diff : -0.0283445
  70. volume_ema1 : 122958.94708859
  71. volume_ema2 : 126545.82654683
  72. chop : 51.1559
  73. regime : bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    107609
  77. 5m_price_ema100_diff: 
    0.00224775
  78. 5m_price: 
    107851
  79. 5m_correlation_with_coin: 
    0.164265
  80. btc_indicators
  81. 15m_ema100: 
    108669
  82. 15m_price_ema100_diff: 
    -0.00726272
  83. 15m_price: 
    107880
  84. 15m_correlation_with_coin: 
    -0.052163
  85. btc_indicators
  86. 1H_ema100: 
    109480
  87. 1H_price_ema100_diff: 
    -0.0148738
  88. 1H_price: 
    107851
  89. 1H_correlation_with_coin: 
    0.060554
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
03 Nov 2025
08:59:44		 03 Nov 2025
09:30:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
62.75 65.1787 57.8927 2 27.87
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 62.75
  • Stop Loss: 65.1787
  • Take Profit: 57.8927

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 65.1787 - 62.75 = 2.4287

  • Récompense (distance jusqu'au take profit):

    E - TP = 62.75 - 57.8927 = 4.8573

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 4.8573 / 2.4287 = 2

📌 Position Size

Amount Margin Quantity Leverage
206.6986 100 3.294 2.07
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 2.4287

Taille de position = 8 / 2.4287 = 3.29

Taille de position USD = 3.29 x 62.75 = 206.45

Donc, tu peux acheter 3.29 avec un stoploss a 65.1787

Avec un position size USD de 206.45$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3.29 x 2.4287 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3.29 x 4.8573 = 15.98

Si Take Profit atteint, tu gagneras 15.98$

Résumé

  • Taille de position 3.29
  • Taille de position USD 206.45
  • Perte potentielle 7.99
  • Gain potentiel 15.98
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
7.74 % 16 $
SL % Target SL $ Target
3.87 % 8 $
PNL PNL %
-8 $ -3.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.6056 % 119 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 57.8927
            [entry_price] => 62.75
            [stop_loss] => 65.42157
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-03 09:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 57.8927
            [entry_price] => 62.75
            [stop_loss] => 65.66444
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-03 09:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 57.8927
            [entry_price] => 62.75
            [stop_loss] => 65.90731
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-03 09:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 57.8927
            [entry_price] => 62.75
            [stop_loss] => 66.39305
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-03 09:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.8
            [max_drawdown] => 11.4
            [rr_ratio] => 0.33
            [high] => 74.15000000
            [low] => 58.95000000
            [mfe_pct] => 6.06
            [mae_pct] => 18.17
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 24
            [start_at] => 2025-11-03T08:59:44-05:00
            [end_at] => 2025-11-03T10:59:44-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.8
            [max_drawdown] => 11.4
            [rr_ratio] => 0.33
            [high] => 74.15000000
            [low] => 58.95000000
            [mfe_pct] => 6.06
            [mae_pct] => 18.17
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 84
            [start_at] => 2025-11-03T08:59:44-05:00
            [end_at] => 2025-11-03T15:59:44-05:00
        )

    [breakout] => Array
        (
            [high_before] => 70.90000000
            [high_after] => 74.15000000
            [low_before] => 56.33000000
            [low_after] => 58.95000000
            [is_new_high] => 
            [is_new_low] => 
        )

)