Short Trade on CHESS 15 Sep 2025 at 16:57:10

Take profit at 0.07291 (0.92 %) and Stop Loss at 0.07393 (0.46 %)

Short Trade on CHESS

The 15 Sep 2025 at 16:57:10

With 23556.3325 CHESS at 0.07359$ per unit.

Position size of 1733.5105 $

Take profit at 0.07291 (0.92 %) and Stop Loss at 0.07393 (0.46 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.54
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.51
Prediction 3 Probability
1 0.61
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_low

BTC Correlation Score

5m : 0.489159

15m : 0.009216

1H : -0.015633

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0002264076266
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 0.0732233
  4. ema21 : 0.0744779
  5. ema50 : 0.0762316
  6. ema100 : 0.0762579
  7. price_ema9_diff : 0.00500671
  8. ema9_ema21_diff : -0.0168445
  9. ema21_ema50_diff : -0.0230051
  10. price_ema100_diff : -0.0349856
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.28848
  14. ema_slope_21 : -0.315245
  15. ema_slope_50 : -0.201797
  16. ema_slope_100 : -0.0901796
  17. rsi : 0.441766
  18. adx : 0.349435
  19. kc_percentage : 0.385937
  20. kc_width_percentage : 0.0931957
  21. volume_ema_diff : -0.522514
  22. volume_ema1 : 105249.1672997
  23. volume_ema2 : 220424.02563964
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0729738
  28. ema21 : 0.0728067
  29. ema50 : 0.0734054
  30. ema100 : 0.0747872
  31. price_ema9_diff : 0.00844347
  32. ema9_ema21_diff : 0.00229533
  33. ema21_ema50_diff : -0.00815588
  34. price_ema100_diff : -0.0160087
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0806176
  38. ema_slope_21 : 0.00985896
  39. ema_slope_50 : -0.044911
  40. ema_slope_100 : -0.0617846
  41. rsi : 0.576924
  42. adx : 0.212944
  43. kc_percentage : 0.857451
  44. kc_width_percentage : 0.0299195
  45. volume_ema_diff : -0.619852
  46. volume_ema1 : 14756.793764291
  47. volume_ema2 : 38818.639055799
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.0733742
  52. ema21 : 0.0730936
  53. ema50 : 0.0728072
  54. ema100 : 0.072847
  55. price_ema9_diff : 0.00294027
  56. ema9_ema21_diff : 0.00383959
  57. ema21_ema50_diff : 0.00393358
  58. price_ema100_diff : 0.0101985
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0753344
  62. ema_slope_21 : 0.062979
  63. ema_slope_50 : 0.0358472
  64. ema_slope_100 : 0.0140671
  65. rsi : 0.66529
  66. adx : 0.286288
  67. kc_percentage : 1.08623
  68. kc_width_percentage : 0.011054
  69. volume_ema_diff : -0.414057
  70. volume_ema1 : 4521.6618065667
  71. volume_ema2 : 7716.9029193402
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114975
  77. 5m_price_ema100_diff:
    0.00229077
  78. 5m_price:
    115238
  79. 5m_correlation_with_coin:
    0.489159
  80. btc_indicators
  81. 15m_ema100:
    115205
  82. 15m_price_ema100_diff:
    5.98042E-5
  83. 15m_price:
    115212
  84. 15m_correlation_with_coin:
    0.009216
  85. btc_indicators
  86. 1H_ema100:
    115314
  87. 1H_price_ema100_diff:
    -0.000653576
  88. 1H_price:
    115238
  89. 1H_correlation_with_coin:
    -0.015633
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:57:10
15 Sep 2025
17:50:00
52 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07359 0.07393 0.07291 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 0.07359
  • Stop Loss: 0.07393
  • Take Profit: 0.07291

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07393 - 0.07359 = 0.00033999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07359 - 0.07291 = 0.00068

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00068 / 0.00033999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1733.5105 100 23556.3325 17.34
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 0.00033999999999999

Taille de position = 8 / 0.00033999999999999 = 23529.41

Taille de position USD = 23529.41 x 0.07359 = 1731.53

Donc, tu peux acheter 23529.41 avec un stoploss a 0.07393

Avec un position size USD de 1731.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 23529.41 x 0.00033999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 23529.41 x 0.00068 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 23529.41
  • Taille de position USD 1731.53
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.92 % 16.02 $
SL % Target SL $ Target
0.46 % 8.01 $
PNL PNL %
-8.01 $ -0.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5571 % 120.58 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07291
            [entry_price] => 0.07359
            [stop_loss] => 0.073964
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 17:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07291
            [entry_price] => 0.07359
            [stop_loss] => 0.073998
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 17:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.07291
            [entry_price] => 0.07359
            [stop_loss] => 0.074032
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 19:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.07291
            [entry_price] => 0.07359
            [stop_loss] => 0.0741
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 19:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00056
            [max_drawdown] => 0.00040999999999999
            [rr_ratio] => 1.37
            [high] => 0.07400000
            [low] => 0.07303000
            [mfe_pct] => 0.76
            [mae_pct] => 0.56
            [mfe_mae_ratio] => 1.37
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:57:10-04:00
            [end_at] => 2025-09-15T18:57:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00056
            [max_drawdown] => 0.00076
            [rr_ratio] => 0.74
            [high] => 0.07435000
            [low] => 0.07303000
            [mfe_pct] => 0.76
            [mae_pct] => 1.03
            [mfe_mae_ratio] => 0.74
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:57:10-04:00
            [end_at] => 2025-09-15T23:57:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07366000
            [high_after] => 0.07435000
            [low_before] => 0.07146000
            [low_after] => 0.07303000
            [is_new_high] => 
            [is_new_low] => 
        )

)