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Short Trade on SIGN

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Short Trade on SIGN 29 Sep 2025 at 16:08:13

Take profit at 0.06719 (0.84 %) and Stop Loss at 0.06804 (0.41 %)

Short Trade on SIGN

The 29 Sep 2025 at 16:08:13

With 28093.0584 SIGN at 0.06776$ per unit.

Position size of 1903.5856 $

Take profit at 0.06719 (0.84 %) and Stop Loss at 0.06804 (0.41 %)

That's a 2.04 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 8.66
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.46
Prediction 3 Probability
0 0.71
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.445498

15m : -0.036952

1H : -0.154274

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0001898452369
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.0682383
  4. ema21 : 0.0701075
  5. ema50 : 0.0726389
  6. ema100 : 0.0748662
  7. price_ema9_diff : -0.00701034
  8. ema9_ema21_diff : -0.0266611
  9. ema21_ema50_diff : -0.03485
  10. price_ema100_diff : -0.0949193
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.580911
  14. ema_slope_21 : -0.450069
  15. ema_slope_50 : -0.285616
  16. ema_slope_100 : -0.186689
  17. rsi : 0.307417
  18. adx : 0.536036
  19. kc_percentage : -0.0642525
  20. kc_width_percentage : 0.0579898
  21. volume_ema_diff : -0.584987
  22. volume_ema1 : 112031.51775316
  23. volume_ema2 : 269947.26792794
  24. chop : 27.0562
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0674021
  28. ema21 : 0.0676623
  29. ema50 : 0.06905
  30. ema100 : 0.0707379
  31. price_ema9_diff : 0.00530972
  32. ema9_ema21_diff : -0.00384654
  33. ema21_ema50_diff : -0.0200964
  34. price_ema100_diff : -0.0420976
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0281385
  38. ema_slope_21 : -0.110981
  39. ema_slope_50 : -0.138001
  40. ema_slope_100 : -0.113518
  41. rsi : 0.476542
  42. adx : 0.451184
  43. kc_percentage : 0.577596
  44. kc_width_percentage : 0.02624
  45. volume_ema_diff : -0.795496
  46. volume_ema1 : 12122.12577278
  47. volume_ema2 : 59275.978475347
  48. chop : 56.0246
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0675585
  52. ema21 : 0.0673414
  53. ema50 : 0.0674255
  54. ema100 : 0.0679011
  55. price_ema9_diff : 0.00298171
  56. ema9_ema21_diff : 0.00322442
  57. ema21_ema50_diff : -0.00124811
  58. price_ema100_diff : -0.00207877
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0864315
  62. ema_slope_21 : 0.0510048
  63. ema_slope_50 : 0.00507827
  64. ema_slope_100 : -0.0141073
  65. rsi : 0.642392
  66. adx : 0.246612
  67. kc_percentage : 1.06453
  68. kc_width_percentage : 0.0106842
  69. volume_ema_diff : -0.680634
  70. volume_ema1 : 3598.0001448295
  71. volume_ema2 : 11266.085186159
  72. chop : 33.2446
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113507
  77. 5m_price_ema100_diff: 
    0.00620098
  78. 5m_price: 
    114211
  79. 5m_correlation_with_coin: 
    0.445498
  80. btc_indicators
  81. 15m_ema100: 
    112460
  82. 15m_price_ema100_diff: 
    0.0155758
  83. 15m_price: 
    114211
  84. 15m_correlation_with_coin: 
    -0.036952
  85. btc_indicators
  86. 1H_ema100: 
    110600
  87. 1H_price_ema100_diff: 
    0.0326478
  88. 1H_price: 
    114211
  89. 1H_correlation_with_coin: 
    -0.154274
    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] => 2025-09-26 08:00:00
                    [1] => 0.07545
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-26 14:00:00
                    [1] => 0.0805
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-26 21:00:00
                    [1] => 0.07608
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-27 01:00:00
                    [1] => 0.07801
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-27 05:00:00
                    [1] => 0.07509
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-27 12:00:00
                    [1] => 0.07788
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 0.07733
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.07304
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-28 20:00:00
                    [1] => 0.07574
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-29 13:00:00
                    [1] => 0.06617
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -10.271983100079
            [ms_dist_from_last_low_pct] => 2.7051533927762
            [ms_bars_since_swing_high] => 20
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 14.462747468641
            [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] => 2025-09-28 17:30:00
                    [1] => 0.0745
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-28 18:15:00
                    [1] => 0.0755
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-28 20:00:00
                    [1] => 0.07574
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-28 22:00:00
                    [1] => 0.07417
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-28 23:45:00
                    [1] => 0.07488
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-29 01:30:00
                    [1] => 0.07156
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-29 09:30:00
                    [1] => 0.06788
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-29 11:00:00
                    [1] => 0.06982
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-29 13:30:00
                    [1] => 0.06617
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-29 16:00:00
                    [1] => 0.06796
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 2.7051533927762
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 10
            [ms_last_swing_amplitude_pct] => 2.7051533927762
            [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] => 2025-09-29 10:15:00
                    [1] => 0.06975
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-29 10:40:00
                    [1] => 0.06889
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-29 11:05:00
                    [1] => 0.06982
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-29 11:20:00
                    [1] => 0.06877
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-29 13:30:00
                    [1] => 0.06617
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-29 14:00:00
                    [1] => 0.06724
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-29 14:15:00
                    [1] => 0.06671
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-29 14:45:00
                    [1] => 0.06715
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-29 15:05:00
                    [1] => 0.0667
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-29 16:05:00
                    [1] => 0.06796
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.8890554722639
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 1.8890554722639
            [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
1.89%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
1.89%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-29 10:15:00 0.06975 ↑ High
2025-09-29 10:40:00 0.06889 ↓ Low
2025-09-29 11:05:00 0.06982 ↑ High
2025-09-29 11:20:00 0.06877 ↓ Low
2025-09-29 13:30:00 0.06617 ↓ Low
2025-09-29 14:00:00 0.06724 ↑ High
2025-09-29 14:15:00 0.06671 ↓ Low
2025-09-29 14:45:00 0.06715 ↑ High
2025-09-29 15:05:00 0.0667 ↓ Low
2025-09-29 16:05:00 0.06796 ↑ 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
2.71%
Bars Since Swing High
0 bars
Bars Since Swing Low
10 bars
Last Swing Amplitude Pct
2.71%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-28 17:30:00 0.0745 ↓ Low
2025-09-28 18:15:00 0.0755 ↑ High
2025-09-28 20:00:00 0.07574 ↑ High
2025-09-28 22:00:00 0.07417 ↓ Low
2025-09-28 23:45:00 0.07488 ↑ High
2025-09-29 01:30:00 0.07156 ↓ Low
2025-09-29 09:30:00 0.06788 ↓ Low
2025-09-29 11:00:00 0.06982 ↑ High
2025-09-29 13:30:00 0.06617 ↓ Low
2025-09-29 16:00:00 0.06796 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-10.27%
Dist From Last Low Pct
2.71%
Bars Since Swing High
20 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
14.46%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-26 08:00:00 0.07545 ↓ Low
2025-09-26 14:00:00 0.0805 ↑ High
2025-09-26 21:00:00 0.07608 ↓ Low
2025-09-27 01:00:00 0.07801 ↑ High
2025-09-27 05:00:00 0.07509 ↓ Low
2025-09-27 12:00:00 0.07788 ↑ High
2025-09-27 18:00:00 0.07733 ↑ High
2025-09-28 08:00:00 0.07304 ↓ Low
2025-09-28 20:00:00 0.07574 ↑ High
2025-09-29 13:00:00 0.06617 ↓ Low

📌 Time Data

Start at Closed at Duration
29 Sep 2025
16:08:13		 29 Sep 2025
18:05:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06776 0.06804 0.06719 2.04 0.02774
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 0.06776
  • Stop Loss: 0.06804
  • Take Profit: 0.06719

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06804 - 0.06776 = 0.00028

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06776 - 0.06719 = 0.00057

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00057 / 0.00028 = 2.0357

📌 Position Size

Amount Margin Quantity Leverage
1903.5856 100 28093.0584 19.04
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 0.00028

Taille de position = 8 / 0.00028 = 28571.43

Taille de position USD = 28571.43 x 0.06776 = 1936

Donc, tu peux acheter 28571.43 avec un stoploss a 0.06804

Avec un position size USD de 1936$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 28571.43 x 0.00028 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 28571.43 x 0.00057 = 16.29

Si Take Profit atteint, tu gagneras 16.29$

Résumé

  • Taille de position 28571.43
  • Taille de position USD 1936
  • Perte potentielle 8
  • Gain potentiel 16.29
  • Risk-Reward Ratio 2.0357

📌 Peformances

TP % Target TP $ Target
0.84 % 16.01 $
SL % Target SL $ Target
0.41 % 7.87 $
PNL PNL %
16.01 $ 0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3099 % 75 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0672
            [stop_loss] => 0.06804
            [rr_ratio] => 2
            [closed_at] => 2025-09-29 18:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.06706
            [stop_loss] => 0.06804
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-29 18:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.06692
            [stop_loss] => 0.06804
            [rr_ratio] => 3
            [closed_at] => 2025-09-29 18:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.06678
            [stop_loss] => 0.06804
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-29 18:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.06664
            [stop_loss] => 0.06804
            [rr_ratio] => 4
            [closed_at] => 2025-09-29 19:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0665
            [stop_loss] => 0.06804
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-29 19:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.06636
            [stop_loss] => 0.06804
            [rr_ratio] => 5
            [closed_at] => 2025-09-29 20:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.06622
            [stop_loss] => 0.06804
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-29 20:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.06608
            [stop_loss] => 0.06804
            [rr_ratio] => 6
            [closed_at] => 2025-09-29 20:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.06594
            [stop_loss] => 0.06804
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-29 20:15:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.0658
            [stop_loss] => 0.06804
            [rr_ratio] => 7
            [closed_at] => 2025-09-29 20:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00070000000000001
            [max_drawdown] => 0.00021
            [rr_ratio] => 3.33
            [high] => 0.06797000
            [low] => 0.06706000
            [mfe_pct] => 1.03
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 3.33
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T16:08:13-04:00
            [end_at] => 2025-09-29T18:08:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00357
            [max_drawdown] => 0.00021
            [rr_ratio] => 17
            [high] => 0.06797000
            [low] => 0.06419000
            [mfe_pct] => 5.27
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 17
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T16:08:13-04:00
            [end_at] => 2025-09-29T23:08:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06796000
            [high_after] => 0.06797000
            [low_before] => 0.06617000
            [low_after] => 0.06419000
            [is_new_high] => 
            [is_new_low] => 1
        )

)