Short Trade on FIO 07 Aug 2025 at 16:34:58

Take profit at 0.01643 (0.73 %) and Stop Loss at 0.01663 (0.48 %)

Short Trade on FIO

The 07 Aug 2025 at 16:34:58

With 102828.3779 FIO at 0.01655$ per unit.

Position size of 1701.8097 $

Take profit at 0.01643 (0.73 %) and Stop Loss at 0.01663 (0.48 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 50
ML Pullback Score: 4.4
Prediction Score: 0.0561
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
0 0.5
Prediction 3 Probability
1 0.61
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.211502

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 5.186635676E-5
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.0167588
  4. ema21 : 0.0171047
  5. ema50 : 0.0172654
  6. ema100 : 0.0172969
  7. price_ema9_diff : -0.0124629
  8. ema9_ema21_diff : -0.0202202
  9. ema21_ema50_diff : -0.00931148
  10. price_ema100_diff : -0.0431854
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.39016
  14. adx : 0.270448
  15. kc_percentage : 0.188653
  16. kc_width_percentage : 0.104726
  17. volume_ema_diff : -0.226734
  18. volume_ema1 : 101195.4965974
  19. volume_ema2 : 130867.70154764
  20. ¸
  21. 15m
  22. ema9 : 0.0164682
  23. ema21 : 0.0165884
  24. ema50 : 0.0169892
  25. ema100 : 0.017207
  26. price_ema9_diff : 0.00496425
  27. ema9_ema21_diff : -0.00724478
  28. ema21_ema50_diff : -0.0235899
  29. price_ema100_diff : -0.0381846
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.428944
  33. adx : 0.552999
  34. kc_percentage : 0.460406
  35. kc_width_percentage : 0.032792
  36. volume_ema_diff : -0.69466
  37. volume_ema1 : 12274.157387399
  38. volume_ema2 : 40198.335265754
  39. ¸
  40. 5m
  41. ema9 : 0.0164938
  42. ema21 : 0.0164434
  43. ema50 : 0.0165067
  44. ema100 : 0.0168332
  45. price_ema9_diff : 0.00340417
  46. ema9_ema21_diff : 0.00306727
  47. ema21_ema50_diff : -0.00383774
  48. price_ema100_diff : -0.0168274
  49. all_emas_in_trend : False
  50. all_emas_and_price_in_trend : False
  51. rsi : 0.637403
  52. adx : 0.220515
  53. kc_percentage : 1.06046
  54. kc_width_percentage : 0.0112216
  55. volume_ema_diff : -0.253509
  56. volume_ema1 : 6504.4023863859
  57. volume_ema2 : 8713.307833984
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    116556
  62. 5m_price_ema100_diff:
    0.00673897
  63. 5m_price:
    117341
  64. 5m_correlation_with_coin:
    0.211502
  65. btc_indicators
  66. 15m_ema100:
    115841
  67. 15m_price_ema100_diff:
    0.0129515
  68. 15m_price:
    117341
  69. btc_indicators
  70. 1H_ema100:
    114820
  71. 1H_price_ema100_diff:
    0.0219553
  72. 1H_price:
    117341
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
07 Aug 2025
16:34:58
07 Aug 2025
17:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01655 0.01663 0.01643 1.5 0.01006
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 0.01655
  • Stop Loss: 0.01663
  • Take Profit: 0.01643

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01663 - 0.01655 = 8.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01655 - 0.01643 = 0.00012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00012 / 8.0E-5 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1701.8097 100 102828.3779 17.02
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 8.0E-5

Taille de position = 8 / 8.0E-5 = 100000

Taille de position USD = 100000 x 0.01655 = 1655

Donc, tu peux acheter 100000 avec un stoploss a 0.01663

Avec un position size USD de 1655$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 100000 x 8.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 100000 x 0.00012 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 100000
  • Taille de position USD 1655
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.73 % 12.34 $
SL % Target SL $ Target
0.48 % 8.23 $
PNL PNL %
12.34 $ 0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2417 % 50 % 7

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 0.01639
            [stop_loss] => 0.01663
            [rr_ratio] => 2
            [closed_at] => 2025-08-07 17:50:00
            [result] => win
        )

    [2.5] => Array
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            [take_profit] => 0.01635
            [stop_loss] => 0.01663
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-07 18:00:00
            [result] => win
        )

    [3] => Array
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            [take_profit] => 0.01631
            [stop_loss] => 0.01663
            [rr_ratio] => 3
            [closed_at] => 2025-08-07 19:05:00
            [result] => loss
        )

    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-08-07 19:05:00
            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 0.01663
            [rr_ratio] => 4
            [closed_at] => 2025-08-07 19:05:00
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    [4.5] => Array
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            [stop_loss] => 0.01663
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-07 19:05:00
            [result] => loss
        )

    [5] => Array
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            [take_profit] => 0.01615
            [stop_loss] => 0.01663
            [rr_ratio] => 5
            [closed_at] => 2025-08-07 19:05:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 0.01611
            [stop_loss] => 0.01663
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-07 19:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.01607
            [stop_loss] => 0.01663
            [rr_ratio] => 6
            [closed_at] => 2025-08-07 19:05:00
            [result] => loss
        )

    [6.5] => Array
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            [rr_ratio] => 6.5
            [closed_at] => 2025-08-07 19:05:00
            [result] => loss
        )

    [7] => Array
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            [stop_loss] => 0.01663
            [rr_ratio] => 7
            [closed_at] => 2025-08-07 19:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.00023
            [max_drawdown] => 4.0000000000002E-5
            [rr_ratio] => 5.75
            [high] => 0.01659000
            [low] => 0.01632000
            [mfe_pct] => 1.39
            [mae_pct] => 0.24
            [mfe_mae_ratio] => 5.75
            [candles_analyzed] => 24
            [start_at] => 2025-08-07T16:34:58-04:00
            [end_at] => 2025-08-07T18:34:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00023
            [max_drawdown] => 0.00035
            [rr_ratio] => 0.66
            [high] => 0.01690000
            [low] => 0.01632000
            [mfe_pct] => 1.39
            [mae_pct] => 2.11
            [mfe_mae_ratio] => 0.66
            [candles_analyzed] => 84
            [start_at] => 2025-08-07T16:34:58-04:00
            [end_at] => 2025-08-07T23:34:58-04:00
        )

    [breakout] => Array
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            [high_before] => 0.01657000
            [high_after] => 0.01680000
            [low_before] => 0.01616000
            [low_after] => 0.01632000
            [is_new_high] => 
            [is_new_low] => 
        )

)