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Short Trade on CHESS

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Short Trade on CHESS 15 Sep 2025 at 01:46:24

Take profit at 0.07595 (1.21 %) and Stop Loss at 0.07735 (0.61 %)

Short Trade on CHESS

The 15 Sep 2025 at 01:46:24

With 17130.8942 CHESS at 0.07688$ per unit.

Position size of 1317.0231 $

Take profit at 0.07595 (1.21 %) and Stop Loss at 0.07735 (0.61 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 6.91
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.6
Prediction 3 Probability
1 0.54
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 : range_medium
BTC Correlation Score

5m : 0.271423

15m : 0.083612

1H : -0.025367

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.0003113283672
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 0.0768838
  4. ema21 : 0.0782185
  5. ema50 : 0.0785276
  6. ema100 : 0.0772729
  7. price_ema9_diff : -4.97152E-5
  8. ema9_ema21_diff : -0.0170645
  9. ema21_ema50_diff : -0.00393615
  10. price_ema100_diff : -0.0050853
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.36741
  14. ema_slope_21 : -0.228426
  15. ema_slope_50 : -0.0664504
  16. ema_slope_100 : 0.0102895
  17. rsi : 0.443419
  18. adx : 0.273698
  19. kc_percentage : 0.342316
  20. kc_width_percentage : 0.104674
  21. volume_ema_diff : -0.330092
  22. volume_ema1 : 161016.54269799
  23. volume_ema2 : 240356.24929079
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.0761375
  27. ema21 : 0.0763038
  28. ema50 : 0.0774682
  29. ema100 : 0.0785929
  30. price_ema9_diff : 0.00975154
  31. ema9_ema21_diff : -0.00218002
  32. ema21_ema50_diff : -0.0150299
  33. price_ema100_diff : -0.0217954
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0674178
  37. ema_slope_21 : -0.0586585
  38. ema_slope_50 : -0.0962003
  39. ema_slope_100 : -0.0744016
  40. rsi : 0.531205
  41. adx : 0.389054
  42. kc_percentage : 0.73183
  43. kc_width_percentage : 0.0344443
  44. volume_ema_diff : -0.491014
  45. volume_ema1 : 25903.058578085
  46. volume_ema2 : 50891.513661269
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.0763314
  50. ema21 : 0.0760374
  51. ema50 : 0.0760923
  52. ema100 : 0.0768231
  53. price_ema9_diff : 0.00718675
  54. ema9_ema21_diff : 0.00386629
  55. ema21_ema50_diff : -0.000721548
  56. price_ema100_diff : 0.000739787
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.056852
  60. ema_slope_21 : 0.0251012
  61. ema_slope_50 : -0.00397518
  62. ema_slope_100 : -0.0243691
  63. rsi : 0.710264
  64. adx : 0.216957
  65. kc_percentage : 1.19725
  66. kc_width_percentage : 0.0154748
  67. volume_ema_diff : -0.15295
  68. volume_ema1 : 11328.386264189
  69. volume_ema2 : 13373.941320086
  70. regime : range_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115640
  74. 5m_price_ema100_diff: 
    0.00561178
  75. 5m_price: 
    116289
  76. 5m_correlation_with_coin: 
    0.271423
  77. btc_indicators
  78. 15m_ema100: 
    115605
  79. 15m_price_ema100_diff: 
    0.00592118
  80. 15m_price: 
    116289
  81. 15m_correlation_with_coin: 
    0.083612
  82. btc_indicators
  83. 1H_ema100: 
    115293
  84. 1H_price_ema100_diff: 
    0.00864138
  85. 1H_price: 
    116289
  86. 1H_correlation_with_coin: 
    -0.025367
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
01:46:24		 15 Sep 2025
02:05:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07688 0.07735 0.07595 1.98 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 0.07688
  • Stop Loss: 0.07735
  • Take Profit: 0.07595

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07735 - 0.07688 = 0.00047

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07688 - 0.07595 = 0.00093

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00093 / 0.00047 = 1.9787

📌 Position Size

Amount Margin Quantity Leverage
1317.0231 100 17130.8942 13.17
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 0.00047

Taille de position = 8 / 0.00047 = 17021.28

Taille de position USD = 17021.28 x 0.07688 = 1308.6

Donc, tu peux acheter 17021.28 avec un stoploss a 0.07735

Avec un position size USD de 1308.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 17021.28 x 0.00047 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 17021.28 x 0.00093 = 15.83

Si Take Profit atteint, tu gagneras 15.83$

Résumé

  • Taille de position 17021.28
  • Taille de position USD 1308.6
  • Perte potentielle 8
  • Gain potentiel 15.83
  • Risk-Reward Ratio 1.9787

📌 Peformances

TP % Target TP $ Target
1.21 % 15.93 $
SL % Target SL $ Target
0.61 % 8.05 $
PNL PNL %
-8.05 $ -0.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0276 % 168.1 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07595
            [entry_price] => 0.07688
            [stop_loss] => 0.077397
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 02:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07595
            [entry_price] => 0.07688
            [stop_loss] => 0.077444
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 02:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.07595
            [entry_price] => 0.07688
            [stop_loss] => 0.077491
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 02:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.07595
            [entry_price] => 0.07688
            [stop_loss] => 0.077585
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 02:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00144
            [max_drawdown] => 0.00079
            [rr_ratio] => 1.82
            [high] => 0.07767000
            [low] => 0.07544000
            [mfe_pct] => 1.87
            [mae_pct] => 1.03
            [mfe_mae_ratio] => 1.82
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T01:46:24-04:00
            [end_at] => 2025-09-15T03:46:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00575
            [max_drawdown] => 0.00079
            [rr_ratio] => 7.28
            [high] => 0.07767000
            [low] => 0.07113000
            [mfe_pct] => 7.48
            [mae_pct] => 1.03
            [mfe_mae_ratio] => 7.28
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T01:46:24-04:00
            [end_at] => 2025-09-15T08:46:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07691000
            [high_after] => 0.07767000
            [low_before] => 0.07364000
            [low_after] => 0.07113000
            [is_new_high] => 
            [is_new_low] => 1
        )

)