Short Trade on RED 01 Sep 2025 at 16:01:25

Take profit at 0.4181 (0.78 %) and Stop Loss at 0.4236 (0.52 %)

Short Trade on RED

The 01 Sep 2025 at 16:01:25

With 3582.7072 RED at 0.4214$ per unit.

Position size of 1509.7528 $

Take profit at 0.4181 (0.78 %) and Stop Loss at 0.4236 (0.52 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 130
ML Pullback Score: 10
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.6
Prediction 2 Probability
1 0.43
Prediction 3 Probability
1 0.5
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.408759

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.001488632214
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.421062
  4. ema21 : 0.428553
  5. ema50 : 0.439831
  6. ema100 : 0.441623
  7. price_ema9_diff : 0.000800515
  8. ema9_ema21_diff : -0.0174781
  9. ema21_ema50_diff : -0.0256411
  10. price_ema100_diff : -0.045793
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.388919
  14. adx : 0.258637
  15. kc_percentage : 0.263506
  16. kc_width_percentage : 0.0655608
  17. volume_ema_diff : -0.779132
  18. volume_ema1 : 94516.526714003
  19. volume_ema2 : 427933.16209404
  20. ¸
  21. 15m
  22. ema9 : 0.418556
  23. ema21 : 0.418585
  24. ema50 : 0.423414
  25. ema100 : 0.432065
  26. price_ema9_diff : 0.00679246
  27. ema9_ema21_diff : -6.7652E-5
  28. ema21_ema50_diff : -0.0114056
  29. price_ema100_diff : -0.0246856
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.54588
  33. adx : 0.232267
  34. kc_percentage : 0.755699
  35. kc_width_percentage : 0.0270149
  36. volume_ema_diff : -0.473138
  37. volume_ema1 : 25050.793067397
  38. volume_ema2 : 47547.194761452
  39. ¸
  40. 5m
  41. ema9 : 0.419337
  42. ema21 : 0.418224
  43. ema50 : 0.417792
  44. ema100 : 0.419423
  45. price_ema9_diff : 0.0049183
  46. ema9_ema21_diff : 0.0026618
  47. ema21_ema50_diff : 0.00103411
  48. price_ema100_diff : 0.00471144
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.64747
  52. adx : 0.200921
  53. kc_percentage : 1.01871
  54. kc_width_percentage : 0.0142398
  55. volume_ema_diff : 0.417362
  56. volume_ema1 : 15322.384358964
  57. volume_ema2 : 10810.489361707
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108942
  62. 5m_price_ema100_diff:
    0.00207462
  63. 5m_price:
    109168
  64. 5m_correlation_with_coin:
    0.408759
  65. btc_indicators
  66. 15m_ema100:
    108784
  67. 15m_price_ema100_diff:
    0.00353201
  68. 15m_price:
    109168
  69. btc_indicators
  70. 1H_ema100:
    109321
  71. 1H_price_ema100_diff:
    -0.001399
  72. 1H_price:
    109168
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
16:01:25
01 Sep 2025
16:15:00
13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4214 0.4236 0.4181 1.5 0.1614
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 0.4214
  • Stop Loss: 0.4236
  • Take Profit: 0.4181

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4236 - 0.4214 = 0.0022

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4214 - 0.4181 = 0.0033

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0033 / 0.0022 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1509.7528 100 3582.7072 15.10
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 0.0022

Taille de position = 8 / 0.0022 = 3636.36

Taille de position USD = 3636.36 x 0.4214 = 1532.36

Donc, tu peux acheter 3636.36 avec un stoploss a 0.4236

Avec un position size USD de 1532.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3636.36 x 0.0022 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3636.36 x 0.0033 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 3636.36
  • Taille de position USD 1532.36
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.78 % 11.82 $
SL % Target SL $ Target
0.52 % 7.88 $
PNL PNL %
11.82 $ 0.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.417
            [stop_loss] => 0.4236
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 16:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.4159
            [stop_loss] => 0.4236
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 16:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.4148
            [stop_loss] => 0.4236
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.4137
            [stop_loss] => 0.4236
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.4126
            [stop_loss] => 0.4236
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.4115
            [stop_loss] => 0.4236
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.4104
            [stop_loss] => 0.4236
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.4093
            [stop_loss] => 0.4236
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.4082
            [stop_loss] => 0.4236
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 16:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.4071
            [stop_loss] => 0.4236
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 16:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0145
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.42020000
            [low] => 0.40690000
            [mfe_pct] => 3.44
            [mae_pct] => -0.28
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T16:01:25-04:00
            [end_at] => 2025-09-01T18:01:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0145
            [max_drawdown] => 9.9999999999989E-5
            [rr_ratio] => 100
            [high] => 0.42150000
            [low] => 0.40690000
            [mfe_pct] => 3.44
            [mae_pct] => 0.02
            [mfe_mae_ratio] => 145
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T16:01:25-04:00
            [end_at] => 2025-09-01T23:01:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.42220000
            [high_after] => 0.42150000
            [low_before] => 0.41220000
            [low_after] => 0.40690000
            [is_new_high] => 
            [is_new_low] => 1
        )

)