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Short Trade on FLM

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Short Trade on FLM 29 Oct 2025 at 22:14:26

Take profit at 0.01847 (2.53 %) and Stop Loss at 0.01919 (1.27 %)

Short Trade on FLM

The 29 Oct 2025 at 22:14:26

With 33347.4198 FLM at 0.01895$ per unit.

Position size of 631.9336 $

Take profit at 0.01847 (2.53 %) and Stop Loss at 0.01919 (1.27 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 4.81
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.76
Prediction 3 Probability
1 0.65
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.621838

15m : -0.085629

1H : -0.011606

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0001599324136
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.0188914
  4. ema21 : 0.0199234
  5. ema50 : 0.020632
  6. ema100 : 0.020924
  7. price_ema9_diff : 0.00309968
  8. ema9_ema21_diff : -0.0517969
  9. ema21_ema50_diff : -0.0343473
  10. price_ema100_diff : -0.0943427
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -1.65862
  14. ema_slope_21 : -1.03275
  15. ema_slope_50 : -0.461669
  16. ema_slope_100 : -0.233802
  17. rsi : 0.437233
  18. adx : 0.229546
  19. kc_percentage : 0.332017
  20. kc_width_percentage : 0.287566
  21. volume_ema_diff : -0.56978
  22. volume_ema1 : 254655.38062493
  23. volume_ema2 : 591919.13766277
  24. chop : 39.3246
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0185223
  28. ema21 : 0.018531
  29. ema50 : 0.0193854
  30. ema100 : 0.0202409
  31. price_ema9_diff : 0.0230892
  32. ema9_ema21_diff : -0.000473008
  33. ema21_ema50_diff : -0.0440696
  34. price_ema100_diff : -0.0637794
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0355261
  38. ema_slope_21 : -0.12766
  39. ema_slope_50 : -0.267602
  40. ema_slope_100 : -0.208907
  41. rsi : 0.550293
  42. adx : 0.191685
  43. kc_percentage : 0.808703
  44. kc_width_percentage : 0.0743679
  45. volume_ema_diff : -0.584643
  46. volume_ema1 : 57645.668503878
  47. volume_ema2 : 138786.12497246
  48. chop : 63.58
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0187173
  52. ema21 : 0.0185464
  53. ema50 : 0.018426
  54. ema100 : 0.0183784
  55. price_ema9_diff : 0.0124319
  56. ema9_ema21_diff : 0.00921411
  57. ema21_ema50_diff : 0.00653471
  58. price_ema100_diff : 0.0311012
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.222229
  62. ema_slope_21 : 0.16331
  63. ema_slope_50 : 0.0763569
  64. ema_slope_100 : 0.0387954
  65. rsi : 0.693344
  66. adx : 0.288547
  67. kc_percentage : 1.12786
  68. kc_width_percentage : 0.0331123
  69. volume_ema_diff : -0.391465
  70. volume_ema1 : 15394.338721575
  71. volume_ema2 : 25297.403356831
  72. chop : 39.9216
  73. regime : bull_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    110820
  77. 5m_price_ema100_diff: 
    -0.00303333
  78. 5m_price: 
    110484
  79. 5m_correlation_with_coin: 
    0.621838
  80. btc_indicators
  81. 15m_ema100: 
    111594
  82. 15m_price_ema100_diff: 
    -0.00995089
  83. 15m_price: 
    110484
  84. 15m_correlation_with_coin: 
    -0.085629
  85. btc_indicators
  86. 1H_ema100: 
    112843
  87. 1H_price_ema100_diff: 
    -0.0209045
  88. 1H_price: 
    110484
  89. 1H_correlation_with_coin: 
    -0.011606
    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] => 2025-10-26 08:00:00
                    [1] => 0.02176
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-26 14:00:00
                    [1] => 0.02134
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-27 00:00:00
                    [1] => 0.02236
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-27 22:00:00
                    [1] => 0.01987
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-28 01:00:00
                    [1] => 0.02034
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-28 09:00:00
                    [1] => 0.02058
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-28 17:00:00
                    [1] => 0.01919
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-28 23:00:00
                    [1] => 0.03344
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-29 12:00:00
                    [1] => 0.01631
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-29 18:00:00
                    [1] => 0.01919
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -1.2506513809276
            [ms_dist_from_last_low_pct] => 16.186388718578
            [ms_bars_since_swing_high] => 4
            [ms_bars_since_swing_low] => 10
            [ms_last_swing_amplitude_pct] => 17.657878602085
            [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] => 2025-10-29 07:00:00
                    [1] => 0.02639
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-29 10:00:00
                    [1] => 0.02237
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 10:30:00
                    [1] => 0.02506
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-29 12:45:00
                    [1] => 0.01631
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-29 14:30:00
                    [1] => 0.01766
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-29 14:45:00
                    [1] => 0.01916
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-29 16:15:00
                    [1] => 0.01761
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 18:00:00
                    [1] => 0.01919
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-29 20:15:00
                    [1] => 0.01772
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-29 22:00:00
                    [1] => 0.01897
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.10542962572482
            [ms_dist_from_last_low_pct] => 6.941309255079
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 7.0541760722348
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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] => 2025-10-29 13:55:00
                    [1] => 0.01809
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-29 14:40:00
                    [1] => 0.01766
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 14:55:00
                    [1] => 0.01916
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-29 16:05:00
                    [1] => 0.01813
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-29 16:25:00
                    [1] => 0.01761
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-29 18:00:00
                    [1] => 0.01919
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-29 19:35:00
                    [1] => 0.01782
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 20:20:00
                    [1] => 0.01772
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-29 21:20:00
                    [1] => 0.01883
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-29 22:10:00
                    [1] => 0.01897
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.10542962572482
            [ms_dist_from_last_low_pct] => 6.941309255079
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 22
            [ms_last_swing_amplitude_pct] => 0.74349442379183
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.11%
Dist From Last Low Pct
6.94%
Bars Since Swing High
0 bars
Bars Since Swing Low
22 bars
Last Swing Amplitude Pct
0.74%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.00%
TP to Pivot Distance
0.0009
4.66%
DateTime Price Type
2025-10-29 13:55:00 0.01809 ↓ Low
2025-10-29 14:40:00 0.01766 ↓ Low
2025-10-29 14:55:00 0.01916 ↑ High
2025-10-29 16:05:00 0.01813 ↑ High
2025-10-29 16:25:00 0.01761 ↓ Low
2025-10-29 18:00:00 0.01919 ↑ High
2025-10-29 19:35:00 0.01782 ↓ Low
2025-10-29 20:20:00 0.01772 ↓ Low
2025-10-29 21:20:00 0.01883 ↑ High
2025-10-29 22:10:00 0.01897 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.11%
Dist From Last Low Pct
6.94%
Bars Since Swing High
0 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
7.05%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0072
37.52%
TP to Pivot Distance
0.0022
11.69%
DateTime Price Type
2025-10-29 07:00:00 0.02639 ↑ High
2025-10-29 10:00:00 0.02237 ↓ Low
2025-10-29 10:30:00 0.02506 ↑ High
2025-10-29 12:45:00 0.01631 ↓ Low
2025-10-29 14:30:00 0.01766 ↓ Low
2025-10-29 14:45:00 0.01916 ↑ High
2025-10-29 16:15:00 0.01761 ↓ Low
2025-10-29 18:00:00 0.01919 ↑ High
2025-10-29 20:15:00 0.01772 ↓ Low
2025-10-29 22:00:00 0.01897 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-1.25%
Dist From Last Low Pct
16.19%
Bars Since Swing High
4 bars
Bars Since Swing Low
10 bars
Last Swing Amplitude Pct
17.66%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0143
74.26%
TP to Pivot Distance
0.0022
11.69%
DateTime Price Type
2025-10-26 08:00:00 0.02176 ↑ High
2025-10-26 14:00:00 0.02134 ↓ Low
2025-10-27 00:00:00 0.02236 ↑ High
2025-10-27 22:00:00 0.01987 ↓ Low
2025-10-28 01:00:00 0.02034 ↑ High
2025-10-28 09:00:00 0.02058 ↑ High
2025-10-28 17:00:00 0.01919 ↓ Low
2025-10-28 23:00:00 0.03344 ↑ High
2025-10-29 12:00:00 0.01631 ↓ Low
2025-10-29 18:00:00 0.01919 ↑ High

📌 Time Data

Start at Closed at Duration
29 Oct 2025
22:14:26		 29 Oct 2025
22:15:00		 34 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01895 0.01919 0.01847 2 0.01166
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 0.01895
  • Stop Loss: 0.01919
  • Take Profit: 0.01847

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01919 - 0.01895 = 0.00024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01895 - 0.01847 = 0.00048

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00048 / 0.00024 = 2

📌 Position Size

Amount Margin Quantity Leverage
631.9336 100 33347.4198 6.32
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 0.00024

Taille de position = 8 / 0.00024 = 33333.33

Taille de position USD = 33333.33 x 0.01895 = 631.67

Donc, tu peux acheter 33333.33 avec un stoploss a 0.01919

Avec un position size USD de 631.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 33333.33 x 0.00024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 33333.33 x 0.00048 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 33333.33
  • Taille de position USD 631.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.53 % 16.01 $
SL % Target SL $ Target
1.27 % 8 $
PNL PNL %
-8 $ -1.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4248 % 112.5 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01847
            [entry_price] => 0.01895
            [stop_loss] => 0.019214
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-29 22:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01847
            [entry_price] => 0.01895
            [stop_loss] => 0.019238
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-29 23:45:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.01847
            [entry_price] => 0.01895
            [stop_loss] => 0.019262
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-29 23:45:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.01847
            [entry_price] => 0.01895
            [stop_loss] => 0.01931
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-29 23:45:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00096
            [max_drawdown] => 0.00028
            [rr_ratio] => 3.43
            [high] => 0.01923000
            [low] => 0.01799000
            [mfe_pct] => 5.07
            [mae_pct] => 1.48
            [mfe_mae_ratio] => 3.43
            [candles_analyzed] => 24
            [start_at] => 2025-10-29T22:14:26-04:00
            [end_at] => 2025-10-30T00:14:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00151
            [max_drawdown] => 0.01431
            [rr_ratio] => 0.11
            [high] => 0.03326000
            [low] => 0.01744000
            [mfe_pct] => 7.97
            [mae_pct] => 75.51
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 84
            [start_at] => 2025-10-29T22:14:26-04:00
            [end_at] => 2025-10-30T05:14:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01898000
            [high_after] => 0.03326000
            [low_before] => 0.01772000
            [low_after] => 0.01744000
            [is_new_high] => 
            [is_new_low] => 1
        )

)