Short Trade on CHESS 15 Sep 2025 at 02:06:57

Take profit at 0.07627 (1.17 %) and Stop Loss at 0.07762 (0.58 %)

Short Trade on CHESS

The 15 Sep 2025 at 02:06:57

With 17725.5356 CHESS at 0.07717$ per unit.

Position size of 1367.8796 $

Take profit at 0.07627 (1.17 %) and Stop Loss at 0.07762 (0.58 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 10
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.57
Prediction 3 Probability
0 0.62
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.276296

15m : 0.094452

1H : 0.058151

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.0003008841844
Details
  1. score: 1.17
  2. 1H
  3. ema9 : 0.0769938
  4. ema21 : 0.0781505
  5. ema50 : 0.078493
  6. ema100 : 0.0773233
  7. price_ema9_diff : 0.00228774
  8. ema9_ema21_diff : -0.0148008
  9. ema21_ema50_diff : -0.00436396
  10. price_ema100_diff : -0.00198302
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.351843
  14. ema_slope_21 : -0.233623
  15. ema_slope_50 : -0.0754816
  16. ema_slope_100 : 0.00290403
  17. rsi : 0.453744
  18. adx : 0.276192
  19. kc_percentage : 0.377797
  20. kc_width_percentage : 0.0969373
  21. volume_ema_diff : -0.485714
  22. volume_ema1 : 119677.43539199
  23. volume_ema2 : 232706.2976243
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0763968
  28. ema21 : 0.0764099
  29. ema50 : 0.0774839
  30. ema100 : 0.0786821
  31. price_ema9_diff : 0.0101204
  32. ema9_ema21_diff : -0.000171737
  33. ema21_ema50_diff : -0.0138611
  34. price_ema100_diff : -0.0192186
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0908188
  38. ema_slope_21 : -0.0365284
  39. ema_slope_50 : -0.0862959
  40. ema_slope_100 : -0.0724195
  41. rsi : 0.553265
  42. adx : 0.365613
  43. kc_percentage : 0.794654
  44. kc_width_percentage : 0.0347141
  45. volume_ema_diff : -0.421712
  46. volume_ema1 : 29601.779312057
  47. volume_ema2 : 51188.708111232
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.0767945
  52. ema21 : 0.0763769
  53. ema50 : 0.0762486
  54. ema100 : 0.076896
  55. price_ema9_diff : 0.00488908
  56. ema9_ema21_diff : 0.00546701
  57. ema21_ema50_diff : 0.00168285
  58. price_ema100_diff : 0.00356295
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.139623
  62. ema_slope_21 : 0.0799071
  63. ema_slope_50 : 0.025368
  64. ema_slope_100 : -0.00901228
  65. rsi : 0.718217
  66. adx : 0.279327
  67. kc_percentage : 1.17116
  68. kc_width_percentage : 0.0148736
  69. volume_ema_diff : -0.222665
  70. volume_ema1 : 10157.073575642
  71. volume_ema2 : 13066.545880905
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115706
  77. 5m_price_ema100_diff:
    0.00700471
  78. 5m_price:
    116516
  79. 5m_correlation_with_coin:
    0.276296
  80. btc_indicators
  81. 15m_ema100:
    115629
  82. 15m_price_ema100_diff:
    0.00767577
  83. 15m_price:
    116516
  84. 15m_correlation_with_coin:
    0.094452
  85. btc_indicators
  86. 1H_ema100:
    115400
  87. 1H_price_ema100_diff:
    0.00967356
  88. 1H_price:
    116516
  89. 1H_correlation_with_coin:
    0.058151
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
02:06:57
15 Sep 2025
02:10:00
3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07717 0.07762 0.07627 2 0.04418
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 0.07717
  • Stop Loss: 0.07762
  • Take Profit: 0.07627

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07762 - 0.07717 = 0.00044999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07717 - 0.07627 = 0.0009

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0009 / 0.00044999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1367.8796 100 17725.5356 13.68
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 0.00044999999999999

Taille de position = 8 / 0.00044999999999999 = 17777.78

Taille de position USD = 17777.78 x 0.07717 = 1371.91

Donc, tu peux acheter 17777.78 avec un stoploss a 0.07762

Avec un position size USD de 1371.91$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 17777.78 x 0.00044999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 17777.78 x 0.0009 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 17777.78
  • Taille de position USD 1371.91
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.17 % 15.95 $
SL % Target SL $ Target
0.58 % 7.98 $
PNL PNL %
-7.98 $ -0.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6479 % 111.11 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07627
            [entry_price] => 0.07717
            [stop_loss] => 0.077665
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 02:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07627
            [entry_price] => 0.07717
            [stop_loss] => 0.07771
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 02:25:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.07627
            [entry_price] => 0.07717
            [stop_loss] => 0.077755
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 02:25:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.07627
            [entry_price] => 0.07717
            [stop_loss] => 0.077845
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 02:25:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00319
            [max_drawdown] => 0.0005
            [rr_ratio] => 6.38
            [high] => 0.07767000
            [low] => 0.07398000
            [mfe_pct] => 4.13
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 6.38
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T02:06:57-04:00
            [end_at] => 2025-09-15T04:06:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00604
            [max_drawdown] => 0.0005
            [rr_ratio] => 12.08
            [high] => 0.07767000
            [low] => 0.07113000
            [mfe_pct] => 7.83
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 12.08
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T02:06:57-04:00
            [end_at] => 2025-09-15T09:06:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07767000
            [high_after] => 0.07767000
            [low_before] => 0.07465000
            [low_after] => 0.07113000
            [is_new_high] => 
            [is_new_low] => 1
        )

)