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Short Trade on ACH

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Short Trade on ACH 16 Oct 2025 at 17:58:32

Take profit at 0.01309 (1.5 %) and Stop Loss at 0.01339 (0.75 %)

Short Trade on ACH

The 16 Oct 2025 at 17:58:32

With 77870.548 ACH at 0.01329$ per unit.

Position size of 1035.0553 $

Take profit at 0.01309 (1.5 %) and Stop Loss at 0.01339 (0.75 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.74
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
1 0.68
Prediction 3 Probability
1 0.9
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 : range_medium
BTC Correlation Score

5m : 0.855037

15m : -0.038326

1H : 0.007085

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 6.848973677E-5
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 0.0133516
  4. ema21 : 0.0135447
  5. ema50 : 0.0137623
  6. ema100 : 0.0139233
  7. price_ema9_diff : -0.00446822
  8. ema9_ema21_diff : -0.0142585
  9. ema21_ema50_diff : -0.0158105
  10. price_ema100_diff : -0.0453455
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.230605
  14. ema_slope_21 : -0.148133
  15. ema_slope_50 : -0.102232
  16. ema_slope_100 : -0.0673045
  17. rsi : 0.418992
  18. adx : 0.427828
  19. kc_percentage : 0.301451
  20. kc_width_percentage : 0.0914647
  21. volume_ema_diff : 0.14059
  22. volume_ema1 : 223897.23277971
  23. volume_ema2 : 196299.4717351
  24. chop : 40.7299
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0131442
  28. ema21 : 0.0132166
  29. ema50 : 0.0134075
  30. ema100 : 0.0135291
  31. price_ema9_diff : 0.0112417
  32. ema9_ema21_diff : -0.00548128
  33. ema21_ema50_diff : -0.0142366
  34. price_ema100_diff : -0.0175313
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.110481
  38. ema_slope_21 : -0.149029
  39. ema_slope_50 : -0.118028
  40. ema_slope_100 : -0.072376
  41. rsi : 0.494939
  42. adx : 0.251113
  43. kc_percentage : 0.648767
  44. kc_width_percentage : 0.0423818
  45. volume_ema_diff : -0.514601
  46. volume_ema1 : 29711.364218863
  47. volume_ema2 : 61210.279649389
  48. chop : 60.4955
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.013219
  52. ema21 : 0.0131548
  53. ema50 : 0.0131866
  54. ema100 : 0.0133407
  55. price_ema9_diff : 0.00551762
  56. ema9_ema21_diff : 0.004883
  57. ema21_ema50_diff : -0.0024168
  58. price_ema100_diff : -0.00365455
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.141215
  62. ema_slope_21 : 0.0678107
  63. ema_slope_50 : 0.000544473
  64. ema_slope_100 : -0.0268378
  65. rsi : 0.64837
  66. adx : 0.240265
  67. kc_percentage : 1.04613
  68. kc_width_percentage : 0.0185779
  69. volume_ema_diff : -0.761261
  70. volume_ema1 : 4146.0278656281
  71. volume_ema2 : 17366.412023553
  72. chop : 46.1201
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    108740
  77. 5m_price_ema100_diff: 
    -0.00350657
  78. 5m_price: 
    108359
  79. 5m_correlation_with_coin: 
    0.855037
  80. btc_indicators
  81. 15m_ema100: 
    109837
  82. 15m_price_ema100_diff: 
    -0.0137385
  83. 15m_price: 
    108328
  84. 15m_correlation_with_coin: 
    -0.038326
  85. btc_indicators
  86. 1H_ema100: 
    111855
  87. 1H_price_ema100_diff: 
    -0.0312613
  88. 1H_price: 
    108359
  89. 1H_correlation_with_coin: 
    0.007085
    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 17:00:00
                    [1] => 0.015098
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-14 06:00:00
                    [1] => 0.013363
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-14 14:00:00
                    [1] => 0.0144
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-14 23:00:00
                    [1] => 0.014041
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-15 04:00:00
                    [1] => 0.01456
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-15 09:00:00
                    [1] => 0.013617
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-15 16:00:00
                    [1] => 0.013454
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 0.013234
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 09:00:00
                    [1] => 0.014096
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 16:00:00
                    [1] => 0.012874
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -5.5122020431328
            [ms_dist_from_last_low_pct] => 3.4565791517788
            [ms_bars_since_swing_high] => 8
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 9.4919993785925
            [ms_bos_up] => 0
            [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] => 2025-10-15 23:15:00
                    [1] => 0.013808
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-16 01:45:00
                    [1] => 0.013606
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-16 02:45:00
                    [1] => 0.013903
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 05:30:00
                    [1] => 0.013234
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 06:15:00
                    [1] => 0.013969
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 07:30:00
                    [1] => 0.013777
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 09:30:00
                    [1] => 0.014096
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 12:30:00
                    [1] => 0.013077
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 16:30:00
                    [1] => 0.012874
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 17:45:00
                    [1] => 0.013319
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 3.4565791517788
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 3.4565791517788
            [ms_bos_up] => 0
            [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 10:45:00
                    [1] => 0.013995
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-16 12:00:00
                    [1] => 0.013127
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-16 12:30:00
                    [1] => 0.013077
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-16 12:55:00
                    [1] => 0.013626
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-16 14:25:00
                    [1] => 0.013097
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 14:45:00
                    [1] => 0.013362
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 15:35:00
                    [1] => 0.012967
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 15:50:00
                    [1] => 0.013192
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 16:30:00
                    [1] => 0.012874
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 17:55:00
                    [1] => 0.013319
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 3.4565791517788
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 17
            [ms_last_swing_amplitude_pct] => 3.4565791517788
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

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
3.46%
Bars Since Swing High
0 bars
Bars Since Swing Low
17 bars
Last Swing Amplitude Pct
3.46%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0006
4.52%
TP to Pivot Distance
0.0002
1.65%
DateTime Price Type
2025-10-16 10:45:00 0.013995 ↑ High
2025-10-16 12:00:00 0.013127 ↓ Low
2025-10-16 12:30:00 0.013077 ↓ Low
2025-10-16 12:55:00 0.013626 ↑ High
2025-10-16 14:25:00 0.013097 ↓ Low
2025-10-16 14:45:00 0.013362 ↑ High
2025-10-16 15:35:00 0.012967 ↓ Low
2025-10-16 15:50:00 0.013192 ↑ High
2025-10-16 16:30:00 0.012874 ↓ Low
2025-10-16 17:55:00 0.013319 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
3.46%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
3.46%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0007
5.27%
TP to Pivot Distance
0.0002
1.65%
DateTime Price Type
2025-10-15 23:15:00 0.013808 ↑ High
2025-10-16 01:45:00 0.013606 ↓ Low
2025-10-16 02:45:00 0.013903 ↑ High
2025-10-16 05:30:00 0.013234 ↓ Low
2025-10-16 06:15:00 0.013969 ↑ High
2025-10-16 07:30:00 0.013777 ↓ Low
2025-10-16 09:30:00 0.014096 ↑ High
2025-10-16 12:30:00 0.013077 ↓ Low
2025-10-16 16:30:00 0.012874 ↓ Low
2025-10-16 17:45:00 0.013319 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-5.51%
Dist From Last Low Pct
3.46%
Bars Since Swing High
8 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
9.49%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0017
12.76%
TP to Pivot Distance
0.0002
1.65%
DateTime Price Type
2025-10-13 17:00:00 0.015098 ↑ High
2025-10-14 06:00:00 0.013363 ↓ Low
2025-10-14 14:00:00 0.0144 ↑ High
2025-10-14 23:00:00 0.014041 ↓ Low
2025-10-15 04:00:00 0.01456 ↑ High
2025-10-15 09:00:00 0.013617 ↓ Low
2025-10-15 16:00:00 0.013454 ↓ Low
2025-10-16 05:00:00 0.013234 ↓ Low
2025-10-16 09:00:00 0.014096 ↑ High
2025-10-16 16:00:00 0.012874 ↓ Low

📌 Time Data

Start at Closed at Duration
16 Oct 2025
17:58:32		 16 Oct 2025
20:30:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01329 0.01339 0.01309 2 0.007055
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 0.01329
  • Stop Loss: 0.01339
  • Take Profit: 0.01309

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01339 - 0.01329 = 0.0001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01329 - 0.01309 = 0.0002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0002 / 0.0001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1035.0553 100 77870.548 10.35
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 0.0001

Taille de position = 8 / 0.0001 = 80000

Taille de position USD = 80000 x 0.01329 = 1063.2

Donc, tu peux acheter 80000 avec un stoploss a 0.01339

Avec un position size USD de 1063.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 0.0001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.0002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 80000
  • Taille de position USD 1063.2
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.5 % 15.57 $
SL % Target SL $ Target
0.75 % 7.79 $
PNL PNL %
-7.79 $ -0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7825 % 104 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01329
            [stop_loss] => 0.0134
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-16 20:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01329
            [stop_loss] => 0.01341
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-16 20:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01329
            [stop_loss] => 0.01342
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-16 21:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01329
            [stop_loss] => 0.01344
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-16 21:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000199
            [max_drawdown] => 5.1000000000001E-5
            [rr_ratio] => 3.9
            [high] => 0.01334100
            [low] => 0.01309100
            [mfe_pct] => 1.5
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 3.9
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T17:58:32-04:00
            [end_at] => 2025-10-16T19:58:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000199
            [max_drawdown] => 0.000194
            [rr_ratio] => 1.03
            [high] => 0.01348400
            [low] => 0.01309100
            [mfe_pct] => 1.5
            [mae_pct] => 1.46
            [mfe_mae_ratio] => 1.03
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T17:58:32-04:00
            [end_at] => 2025-10-17T00:58:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01336200
            [high_after] => 0.01348400
            [low_before] => 0.01287400
            [low_after] => 0.01309100
            [is_new_high] => 
            [is_new_low] => 
        )

)