Short Trade on SQD 28 Sep 2025 at 18:18:09

Take profit at 0.1233 (2.76 %) and Stop Loss at 0.1285 (1.34 %)

Short Trade on SQD

The 28 Sep 2025 at 18:18:09

With 4602.5569 SQD at 0.1268$ per unit.

Position size of 583.5582 $

Take profit at 0.1233 (2.76 %) and Stop Loss at 0.1285 (1.34 %)

That's a 2.06 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 6.65
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
0 0.89
Prediction 3 Probability
0 0.92
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_high

BTC Correlation Score

5m : 0.170357

15m : 0.010614

1H : 0.191219

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.28
  4. atr: 0.001158776188
Details
  1. score: 1.28
  2. 1H
  3. ema9 : 0.123979
  4. ema21 : 0.128031
  5. ema50 : 0.134521
  6. ema100 : 0.127928
  7. price_ema9_diff : 0.0226666
  8. ema9_ema21_diff : -0.0316446
  9. ema21_ema50_diff : -0.0482467
  10. price_ema100_diff : -0.00889845
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.543284
  14. ema_slope_21 : -0.61408
  15. ema_slope_50 : -0.406017
  16. ema_slope_100 : -0.0795558
  17. rsi : 0.454031
  18. adx : 0.146684
  19. kc_percentage : 0.458873
  20. kc_width_percentage : 0.160542
  21. volume_ema_diff : -0.786731
  22. volume_ema1 : 521691.3551366
  23. volume_ema2 : 2446166.3357001
  24. chop : 64.4161
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.123532
  29. ema21 : 0.122891
  30. ema50 : 0.124549
  31. ema100 : 0.127961
  32. price_ema9_diff : 0.0263723
  33. ema9_ema21_diff : 0.00521177
  34. ema21_ema50_diff : -0.0133089
  35. price_ema100_diff : -0.00915853
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.192904
  39. ema_slope_21 : 0.0398884
  40. ema_slope_50 : -0.0671313
  41. ema_slope_100 : -0.0899497
  42. rsi : 0.620094
  43. adx : 0.159053
  44. kc_percentage : 0.965166
  45. kc_width_percentage : 0.0662123
  46. volume_ema_diff : -0.18862
  47. volume_ema1 : 144376.71720944
  48. volume_ema2 : 177939.85696918
  49. chop : 42.2236
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.123778
  54. ema21 : 0.122952
  55. ema50 : 0.122384
  56. ema100 : 0.122369
  57. price_ema9_diff : 0.0243299
  58. ema9_ema21_diff : 0.00671795
  59. ema21_ema50_diff : 0.00464084
  60. price_ema100_diff : 0.0361273
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0551708
  64. ema_slope_21 : 0.037494
  65. ema_slope_50 : 0.0237316
  66. ema_slope_100 : 0.00905595
  67. rsi : 0.730385
  68. adx : 0.228044
  69. kc_percentage : 1.28006
  70. kc_width_percentage : 0.0383712
  71. volume_ema_diff : 0.801287
  72. volume_ema1 : 98172.026008098
  73. volume_ema2 : 54501.037171096
  74. chop : 32.791
  75. regime : bull_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    110297
  80. 5m_price_ema100_diff:
    0.0113313
  81. 5m_price:
    111546
  82. 5m_correlation_with_coin:
    0.170357
  83. btc_indicators
  84. 15m_ema100:
    109865
  85. 15m_price_ema100_diff:
    0.0153065
  86. 15m_price:
    111546
  87. 15m_correlation_with_coin:
    0.010614
  88. btc_indicators
  89. 1H_ema100:
    110286
  90. 1H_price_ema100_diff:
    0.0114273
  91. 1H_price:
    111546
  92. 1H_correlation_with_coin:
    0.191219
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
28 Sep 2025
18:18:09
28 Sep 2025
18:30:00
11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1268 0.1285 0.1233 2.06 0.03862
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 0.1268
  • Stop Loss: 0.1285
  • Take Profit: 0.1233

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1285 - 0.1268 = 0.0017

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1268 - 0.1233 = 0.0035

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0035 / 0.0017 = 2.0588

📌 Position Size

Amount Margin Quantity Leverage
583.5582 100 4602.5569 5.84
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 0.0017

Taille de position = 8 / 0.0017 = 4705.88

Taille de position USD = 4705.88 x 0.1268 = 596.71

Donc, tu peux acheter 4705.88 avec un stoploss a 0.1285

Avec un position size USD de 596.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4705.88 x 0.0017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4705.88 x 0.0035 = 16.47

Si Take Profit atteint, tu gagneras 16.47$

Résumé

  • Taille de position 4705.88
  • Taille de position USD 596.71
  • Perte potentielle 8
  • Gain potentiel 16.47
  • Risk-Reward Ratio 2.0588

📌 Peformances

TP % Target TP $ Target
2.76 % 16.11 $
SL % Target SL $ Target
1.34 % 7.82 $
PNL PNL %
-7.82 $ -1.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.8297 % 136.47 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1233
            [entry_price] => 0.1268
            [stop_loss] => 0.12867
            [rr_ratio] => 1.87
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-28 18:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1233
            [entry_price] => 0.1268
            [stop_loss] => 0.12884
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-28 18:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1233
            [entry_price] => 0.1268
            [stop_loss] => 0.12901
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-28 18:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1233
            [entry_price] => 0.1268
            [stop_loss] => 0.12935
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-28 19:50:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00472
            [max_drawdown] => 0.00232
            [rr_ratio] => 2.03
            [high] => 0.12912000
            [low] => 0.12208000
            [mfe_pct] => 3.72
            [mae_pct] => 1.83
            [mfe_mae_ratio] => 2.03
            [candles_analyzed] => 24
            [start_at] => 2025-09-28T18:18:09-04:00
            [end_at] => 2025-09-28T20:18:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01189
            [max_drawdown] => 0.00232
            [rr_ratio] => 5.12
            [high] => 0.12912000
            [low] => 0.11491000
            [mfe_pct] => 9.38
            [mae_pct] => 1.83
            [mfe_mae_ratio] => 5.12
            [candles_analyzed] => 84
            [start_at] => 2025-09-28T18:18:09-04:00
            [end_at] => 2025-09-29T01:18:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.12796000
            [high_after] => 0.12912000
            [low_before] => 0.11756000
            [low_after] => 0.11688000
            [is_new_high] => 
            [is_new_low] => 1
        )

)