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Long Trade on FIDA

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Long Trade on FIDA 29 Sep 2025 at 03:30:37

Take profit at 0.08209 (1.05 %) and Stop Loss at 0.08081 (0.53 %)

Long Trade on FIDA

The 29 Sep 2025 at 03:30:37

With 18785.2463 FIDA at 0.08124$ per unit.

Position size of 1526.1134 $

Take profit at 0.08209 (1.05 %) and Stop Loss at 0.08081 (0.53 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.32
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.51
Prediction 3 Probability
0 0.66
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_low
BTC Correlation Score

5m : 0.202605

15m : -0.077654

1H : -0.020406

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.0002839107484
Details
  1. score: 2.14
  2. 1H
  3. ema9 : 0.0821593
  4. ema21 : 0.0806393
  5. ema50 : 0.0785086
  6. ema100 : 0.0775192
  7. price_ema9_diff : -0.0111903
  8. ema9_ema21_diff : 0.0188496
  9. ema21_ema50_diff : 0.0271393
  10. price_ema100_diff : 0.0479979
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.661646
  14. ema_slope_21 : 0.556974
  15. ema_slope_50 : 0.317401
  16. ema_slope_100 : 0.170486
  17. rsi : 0.567507
  18. adx : 0.529921
  19. kc_percentage : 0.570221
  20. kc_width_percentage : 0.0834869
  21. volume_ema_diff : -0.246163
  22. volume_ema1 : 89061.956882643
  23. volume_ema2 : 118144.89280645
  24. chop : 18.4915
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 0.0818916
  28. ema21 : 0.0823498
  29. ema50 : 0.0817676
  30. ema100 : 0.0799496
  31. price_ema9_diff : -0.00795711
  32. ema9_ema21_diff : -0.00556422
  33. ema21_ema50_diff : 0.00711986
  34. price_ema100_diff : 0.0161401
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.132065
  38. ema_slope_21 : -0.0903293
  39. ema_slope_50 : 0.0134449
  40. ema_slope_100 : 0.0583637
  41. rsi : 0.359082
  42. adx : 0.204403
  43. kc_percentage : 0.0238369
  44. kc_width_percentage : 0.028218
  45. volume_ema_diff : -0.48067
  46. volume_ema1 : 20013.403324858
  47. volume_ema2 : 38536.999184731
  48. chop : 60.8208
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.0816345
  52. ema21 : 0.0819481
  53. ema50 : 0.0823958
  54. ema100 : 0.0828735
  55. price_ema9_diff : -0.00483309
  56. ema9_ema21_diff : -0.00382635
  57. ema21_ema50_diff : -0.0054344
  58. price_ema100_diff : -0.0197115
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0678373
  62. ema_slope_21 : -0.0401863
  63. ema_slope_50 : -0.0338177
  64. ema_slope_100 : -0.0269098
  65. rsi : 0.287334
  66. adx : 0.197997
  67. kc_percentage : -0.135917
  68. kc_width_percentage : 0.0133438
  69. volume_ema_diff : 0.166591
  70. volume_ema1 : 8609.2407144118
  71. volume_ema2 : 7379.8263440886
  72. chop : 26.0804
  73. regime : bear_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111764
  77. 5m_price_ema100_diff: 
    -0.00191669
  78. 5m_price: 
    111550
  79. 5m_correlation_with_coin: 
    0.202605
  80. btc_indicators
  81. 15m_ema100: 
    110860
  82. 15m_price_ema100_diff: 
    0.00622023
  83. 15m_price: 
    111550
  84. 15m_correlation_with_coin: 
    -0.077654
  85. btc_indicators
  86. 1H_ema100: 
    110321
  87. 1H_price_ema100_diff: 
    0.0111336
  88. 1H_price: 
    111550
  89. 1H_correlation_with_coin: 
    -0.020406
    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] => 2025-09-25 21:00:00
                    [1] => 0.07538
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-26 08:00:00
                    [1] => 0.07317
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-26 23:00:00
                    [1] => 0.07739
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-27 05:00:00
                    [1] => 0.07527
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-27 11:00:00
                    [1] => 0.07657
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-27 13:00:00
                    [1] => 0.07489
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 0.07657
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.07358
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-28 16:00:00
                    [1] => 0.09017
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-29 03:00:00
                    [1] => 0.08096
                    [2] => L
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -9.6373516690695
            [ms_dist_from_last_low_pct] => 0.64229249011857
            [ms_bars_since_swing_high] => 11
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 11.375988142292
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [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 03:15:00
                    [1] => 0.07482
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-28 06:00:00
                    [1] => 0.07366
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-28 06:45:00
                    [1] => 0.07459
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-28 08:30:00
                    [1] => 0.07358
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-28 16:30:00
                    [1] => 0.09017
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-28 21:30:00
                    [1] => 0.08325
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-28 22:45:00
                    [1] => 0.08575
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-29 01:00:00
                    [1] => 0.08175
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-29 02:45:00
                    [1] => 0.08309
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-29 03:15:00
                    [1] => 0.08096
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -1.9376579612468
            [ms_dist_from_last_low_pct] => 0.64229249011857
            [ms_bars_since_swing_high] => 3
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 2.6309288537549
            [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] => 2025-09-28 21:30:00
                    [1] => 0.08325
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-28 21:50:00
                    [1] => 0.08464
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-28 22:00:00
                    [1] => 0.08334
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-28 22:50:00
                    [1] => 0.08575
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-28 23:10:00
                    [1] => 0.08289
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-29 00:00:00
                    [1] => 0.08262
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-29 01:05:00
                    [1] => 0.08175
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-29 02:10:00
                    [1] => 0.08192
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-29 02:45:00
                    [1] => 0.08309
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-29 03:15:00
                    [1] => 0.08096
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -1.9376579612468
            [ms_dist_from_last_low_pct] => 0.64229249011857
            [ms_bars_since_swing_high] => 9
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 2.6309288537549
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-1.94%
Dist From Last Low Pct
0.64%
Bars Since Swing High
9 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
2.63%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1
DateTime Price Type
2025-09-28 21:30:00 0.08325 ↓ Low
2025-09-28 21:50:00 0.08464 ↑ High
2025-09-28 22:00:00 0.08334 ↓ Low
2025-09-28 22:50:00 0.08575 ↑ High
2025-09-28 23:10:00 0.08289 ↓ Low
2025-09-29 00:00:00 0.08262 ↓ Low
2025-09-29 01:05:00 0.08175 ↓ Low
2025-09-29 02:10:00 0.08192 ↓ Low
2025-09-29 02:45:00 0.08309 ↑ High
2025-09-29 03:15:00 0.08096 ↓ Low
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-1.94%
Dist From Last Low Pct
0.64%
Bars Since Swing High
3 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
2.63%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-28 03:15:00 0.07482 ↑ High
2025-09-28 06:00:00 0.07366 ↓ Low
2025-09-28 06:45:00 0.07459 ↑ High
2025-09-28 08:30:00 0.07358 ↓ Low
2025-09-28 16:30:00 0.09017 ↑ High
2025-09-28 21:30:00 0.08325 ↓ Low
2025-09-28 22:45:00 0.08575 ↑ High
2025-09-29 01:00:00 0.08175 ↓ Low
2025-09-29 02:45:00 0.08309 ↑ High
2025-09-29 03:15:00 0.08096 ↓ Low
1H - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-9.64%
Dist From Last Low Pct
0.64%
Bars Since Swing High
11 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
11.38%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-25 21:00:00 0.07538 ↑ High
2025-09-26 08:00:00 0.07317 ↓ Low
2025-09-26 23:00:00 0.07739 ↑ High
2025-09-27 05:00:00 0.07527 ↓ Low
2025-09-27 11:00:00 0.07657 ↑ High
2025-09-27 13:00:00 0.07489 ↓ Low
2025-09-27 18:00:00 0.07657 ↑ High
2025-09-28 08:00:00 0.07358 ↓ Low
2025-09-28 16:00:00 0.09017 ↑ High
2025-09-29 03:00:00 0.08096 ↓ Low

📌 Time Data

Start at Closed at Duration
29 Sep 2025
03:30:37		 29 Sep 2025
04:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.08124 0.08081 0.08209 1.98 0.01491
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 0.08124
  • Stop Loss: 0.08081
  • Take Profit: 0.08209

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08081 - 0.08124 = -0.00043

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08124 - 0.08209 = -0.00084999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00084999999999999 / -0.00043 = 1.9767

📌 Position Size

Amount Margin Quantity Leverage
1526.1134 100 18785.2463 15.26
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 -0.00043

Taille de position = 8 / -0.00043 = -18604.65

Taille de position USD = -18604.65 x 0.08124 = -1511.44

Donc, tu peux acheter -18604.65 avec un stoploss a 0.08081

Avec un position size USD de -1511.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -18604.65 x -0.00043 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -18604.65 x -0.00084999999999999 = 15.81

Si Take Profit atteint, tu gagneras 15.81$

Résumé

  • Taille de position -18604.65
  • Taille de position USD -1511.44
  • Perte potentielle 8
  • Gain potentiel 15.81
  • Risk-Reward Ratio 1.9767

📌 Peformances

TP % Target TP $ Target
1.05 % 15.97 $
SL % Target SL $ Target
0.53 % 8.08 $
PNL PNL %
-8.08 $ -0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5662 % 106.97 % 11

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08209
            [entry_price] => 0.08124
            [stop_loss] => 0.080767
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 05:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08209
            [entry_price] => 0.08124
            [stop_loss] => 0.080724
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 05:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08209
            [entry_price] => 0.08124
            [stop_loss] => 0.080681
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 05:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08209
            [entry_price] => 0.08124
            [stop_loss] => 0.080595
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 05:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00038999999999999
            [max_drawdown] => 0.00128
            [rr_ratio] => 0.3
            [high] => 0.08163000
            [low] => 0.07996000
            [mfe_pct] => 0.48
            [mae_pct] => 1.58
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T03:30:37-04:00
            [end_at] => 2025-09-29T05:30:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00038999999999999
            [max_drawdown] => 0.00297
            [rr_ratio] => 0.13
            [high] => 0.08163000
            [low] => 0.07827000
            [mfe_pct] => 0.48
            [mae_pct] => 3.66
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T03:30:37-04:00
            [end_at] => 2025-09-29T10:30:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08352000
            [high_after] => 0.08163000
            [low_before] => 0.08096000
            [low_after] => 0.07827000
            [is_new_high] => 
            [is_new_low] => 
        )

)