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Short Trade on CHESS

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Short Trade on CHESS 16 Oct 2025 at 20:28:11

Take profit at 0.0477 (1.36 %) and Stop Loss at 0.04869 (0.68 %)

Short Trade on CHESS

The 16 Oct 2025 at 20:28:11

With 24359.7947 CHESS at 0.04836$ per unit.

Position size of 1178.0397 $

Take profit at 0.0477 (1.36 %) and Stop Loss at 0.04869 (0.68 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.92
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.78
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.664467

15m : 0.009591

1H : -0.046325

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0002189399954
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.0485041
  4. ema21 : 0.0492349
  5. ema50 : 0.0493531
  6. ema100 : 0.0487715
  7. price_ema9_diff : -0.00297211
  8. ema9_ema21_diff : -0.0148424
  9. ema21_ema50_diff : -0.00239586
  10. price_ema100_diff : -0.00843912
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.533086
  14. ema_slope_21 : -0.228616
  15. ema_slope_50 : -0.0597307
  16. ema_slope_100 : 0.00359803
  17. rsi : 0.444562
  18. adx : 0.234831
  19. kc_percentage : 0.337563
  20. kc_width_percentage : 0.107645
  21. volume_ema_diff : -0.60095
  22. volume_ema1 : 95084.887646556
  23. volume_ema2 : 238278.39125874
  24. chop : 36.0353
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0478316
  28. ema21 : 0.0480321
  29. ema50 : 0.0488391
  30. ema100 : 0.0492676
  31. price_ema9_diff : 0.0110464
  32. ema9_ema21_diff : -0.00417393
  33. ema21_ema50_diff : -0.0165241
  34. price_ema100_diff : -0.0184235
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0281282
  38. ema_slope_21 : -0.104256
  39. ema_slope_50 : -0.115214
  40. ema_slope_100 : -0.0702635
  41. rsi : 0.502174
  42. adx : 0.284636
  43. kc_percentage : 0.704242
  44. kc_width_percentage : 0.0362314
  45. volume_ema_diff : -0.756306
  46. volume_ema1 : 12602.650047037
  47. volume_ema2 : 51715.226811708
  48. chop : 72.0846
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0480308
  52. ema21 : 0.0478283
  53. ema50 : 0.0478677
  54. ema100 : 0.0481424
  55. price_ema9_diff : 0.00685377
  56. ema9_ema21_diff : 0.00423362
  57. ema21_ema50_diff : -0.000822826
  58. price_ema100_diff : 0.00451976
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0941874
  62. ema_slope_21 : 0.0472872
  63. ema_slope_50 : 0.00337234
  64. ema_slope_100 : -0.0123473
  65. rsi : 0.689294
  66. adx : 0.21931
  67. kc_percentage : 1.09685
  68. kc_width_percentage : 0.0181574
  69. volume_ema_diff : -0.297178
  70. volume_ema1 : 5846.2488601528
  71. volume_ema2 : 8318.2509311406
  72. chop : 41.5135
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    108139
  77. 5m_price_ema100_diff: 
    0.00221593
  78. 5m_price: 
    108379
  79. 5m_correlation_with_coin: 
    0.664467
  80. btc_indicators
  81. 15m_ema100: 
    109528
  82. 15m_price_ema100_diff: 
    -0.0118171
  83. 15m_price: 
    108234
  84. 15m_correlation_with_coin: 
    0.009591
  85. btc_indicators
  86. 1H_ema100: 
    111773
  87. 1H_price_ema100_diff: 
    -0.0303627
  88. 1H_price: 
    108379
  89. 1H_correlation_with_coin: 
    -0.046325
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-13 07:00:00
                    [1] => 0.04507
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-13 08:00:00
                    [1] => 0.05383
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-13 17:00:00
                    [1] => 0.05234
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-14 06:00:00
                    [1] => 0.04574
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-14 14:00:00
                    [1] => 0.05149
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-14 20:00:00
                    [1] => 0.04671
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-15 05:00:00
                    [1] => 0.05254
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-15 17:00:00
                    [1] => 0.04744
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 0.05493
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.04706
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -11.833242308392
            [ms_dist_from_last_low_pct] => 2.9111772205695
            [ms_bars_since_swing_high] => 12
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 16.723331916702
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-16 03:45:00
                    [1] => 0.04981
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-16 05:30:00
                    [1] => 0.05038
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-16 06:15:00
                    [1] => 0.0539
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 0.05493
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-16 12:30:00
                    [1] => 0.04799
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 13:30:00
                    [1] => 0.05004
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 16:30:00
                    [1] => 0.04717
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 17:30:00
                    [1] => 0.04828
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.04706
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 20:15:00
                    [1] => 0.04843
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 2.9111772205695
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 2.9111772205695
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-16 14:25:00
                    [1] => 0.04826
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-16 14:45:00
                    [1] => 0.04947
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-16 15:35:00
                    [1] => 0.04742
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-16 15:50:00
                    [1] => 0.04885
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-16 16:30:00
                    [1] => 0.04717
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 17:40:00
                    [1] => 0.04828
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 17:50:00
                    [1] => 0.04828
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 19:10:00
                    [1] => 0.04706
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 19:20:00
                    [1] => 0.04782
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 20:25:00
                    [1] => 0.04843
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 2.9111772205695
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 15
            [ms_last_swing_amplitude_pct] => 1.2756168966959
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
0.00%
Dist From Last Low Pct
2.91%
Bars Since Swing High
0 bars
Bars Since Swing Low
15 bars
Last Swing Amplitude Pct
1.28%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0008
1.60%
TP to Pivot Distance
0.0006
1.34%
DateTime Price Type
2025-10-16 14:25:00 0.04826 ↓ Low
2025-10-16 14:45:00 0.04947 ↑ High
2025-10-16 15:35:00 0.04742 ↓ Low
2025-10-16 15:50:00 0.04885 ↑ High
2025-10-16 16:30:00 0.04717 ↓ Low
2025-10-16 17:40:00 0.04828 ↑ High
2025-10-16 17:50:00 0.04828 ↑ High
2025-10-16 19:10:00 0.04706 ↓ Low
2025-10-16 19:20:00 0.04782 ↑ High
2025-10-16 20:25:00 0.04843 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
0.00%
Dist From Last Low Pct
2.91%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
2.91%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0062
12.82%
TP to Pivot Distance
0.0006
1.34%
DateTime Price Type
2025-10-16 03:45:00 0.04981 ↓ Low
2025-10-16 05:30:00 0.05038 ↓ Low
2025-10-16 06:15:00 0.0539 ↑ High
2025-10-16 08:00:00 0.05493 ↑ High
2025-10-16 12:30:00 0.04799 ↓ Low
2025-10-16 13:30:00 0.05004 ↑ High
2025-10-16 16:30:00 0.04717 ↓ Low
2025-10-16 17:30:00 0.04828 ↑ High
2025-10-16 19:00:00 0.04706 ↓ Low
2025-10-16 20:15:00 0.04843 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-11.83%
Dist From Last Low Pct
2.91%
Bars Since Swing High
12 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
16.72%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0062
12.82%
TP to Pivot Distance
0.0026
5.51%
DateTime Price Type
2025-10-13 07:00:00 0.04507 ↓ Low
2025-10-13 08:00:00 0.05383 ↑ High
2025-10-13 17:00:00 0.05234 ↑ High
2025-10-14 06:00:00 0.04574 ↓ Low
2025-10-14 14:00:00 0.05149 ↑ High
2025-10-14 20:00:00 0.04671 ↓ Low
2025-10-15 05:00:00 0.05254 ↑ High
2025-10-15 17:00:00 0.04744 ↓ Low
2025-10-16 08:00:00 0.05493 ↑ High
2025-10-16 19:00:00 0.04706 ↓ Low

📌 Time Data

Start at Closed at Duration
16 Oct 2025
20:28:11		 16 Oct 2025
20:30:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04836 0.04869 0.0477 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 0.04836
  • Stop Loss: 0.04869
  • Take Profit: 0.0477

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04869 - 0.04836 = 0.00033

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04836 - 0.0477 = 0.00066

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00066 / 0.00033 = 2

📌 Position Size

Amount Margin Quantity Leverage
1178.0397 100 24359.7947 11.78
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 0.00033

Taille de position = 8 / 0.00033 = 24242.42

Taille de position USD = 24242.42 x 0.04836 = 1172.36

Donc, tu peux acheter 24242.42 avec un stoploss a 0.04869

Avec un position size USD de 1172.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 24242.42 x 0.00033 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 24242.42 x 0.00066 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 24242.42
  • Taille de position USD 1172.36
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.36 % 16.08 $
SL % Target SL $ Target
0.68 % 8.04 $
PNL PNL %
-8.04 $ -0.68
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9098 % 133.32 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0477
            [entry_price] => 0.04836
            [stop_loss] => 0.048723
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-16 20:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0477
            [entry_price] => 0.04836
            [stop_loss] => 0.048756
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-16 20:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0477
            [entry_price] => 0.04836
            [stop_loss] => 0.048789
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-16 20:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0477
            [entry_price] => 0.04836
            [stop_loss] => 0.048855
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-16 20:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00063
            [max_drawdown] => 0.00066
            [rr_ratio] => 0.95
            [high] => 0.04902000
            [low] => 0.04773000
            [mfe_pct] => 1.3
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 0.95
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T20:28:11-04:00
            [end_at] => 2025-10-16T22:28:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00382
            [max_drawdown] => 0.00066
            [rr_ratio] => 5.79
            [high] => 0.04902000
            [low] => 0.04454000
            [mfe_pct] => 7.9
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 5.79
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T20:28:11-04:00
            [end_at] => 2025-10-17T03:28:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04843000
            [high_after] => 0.04902000
            [low_before] => 0.04706000
            [low_after] => 0.04723000
            [is_new_high] => 
            [is_new_low] => 
        )

)