Short Trade on GRIFFAIN 29 Aug 2025 at 08:38:53

Take profit at 0.03218 (1.41 %) and Stop Loss at 0.03295 (0.95 %)

Short Trade on GRIFFAIN

The 29 Aug 2025 at 08:38:53

With 25956.2389 GRIFFAIN at 0.03264$ per unit.

Position size of 847.2116 $

Take profit at 0.03218 (1.41 %) and Stop Loss at 0.03295 (0.95 %)

That's a 1.48 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 110
ML Pullback Score: 10
Prediction Score: 3.5364
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
1 0.51
Prediction 3 Probability
0 0.52
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.680581

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0002054740427
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.0326905
  4. ema21 : 0.0331387
  5. ema50 : 0.033241
  6. ema100 : 0.0332421
  7. price_ema9_diff : -0.00154608
  8. ema9_ema21_diff : -0.0135253
  9. ema21_ema50_diff : -0.00307622
  10. price_ema100_diff : -0.0181154
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.434591
  14. adx : 0.276389
  15. kc_percentage : 0.316599
  16. kc_width_percentage : 0.0804705
  17. volume_ema_diff : 0.458303
  18. volume_ema1 : 292040.99504383
  19. volume_ema2 : 200260.82661973
  20. ¸
  21. 15m
  22. ema9 : 0.0321462
  23. ema21 : 0.0323334
  24. ema50 : 0.032895
  25. ema100 : 0.0332567
  26. price_ema9_diff : 0.0153584
  27. ema9_ema21_diff : -0.00578796
  28. ema21_ema50_diff : -0.0170733
  29. price_ema100_diff : -0.0185447
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.518744
  33. adx : 0.400442
  34. kc_percentage : 0.743429
  35. kc_width_percentage : 0.0415195
  36. volume_ema_diff : 0.603454
  37. volume_ema1 : 106809.16009387
  38. volume_ema2 : 66611.890062065
  39. ¸
  40. 5m
  41. ema9 : 0.0322211
  42. ema21 : 0.0321107
  43. ema50 : 0.0322267
  44. ema100 : 0.0326489
  45. price_ema9_diff : 0.0129994
  46. ema9_ema21_diff : 0.00343807
  47. ema21_ema50_diff : -0.00360013
  48. price_ema100_diff : -0.000275552
  49. all_emas_in_trend : False
  50. all_emas_and_price_in_trend : False
  51. rsi : 0.699603
  52. adx : 0.231971
  53. kc_percentage : 1.0626
  54. kc_width_percentage : 0.0286402
  55. volume_ema_diff : 1.80975
  56. volume_ema1 : 75687.274325708
  57. volume_ema2 : 26937.352174518
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    110366
  62. 5m_price_ema100_diff:
    0.00208102
  63. 5m_price:
    110596
  64. 5m_correlation_with_coin:
    0.680581
  65. btc_indicators
  66. 15m_ema100:
    111340
  67. 15m_price_ema100_diff:
    -0.00553544
  68. 15m_price:
    110724
  69. btc_indicators
  70. 1H_ema100:
    111502
  71. 1H_price_ema100_diff:
    -0.0081237
  72. 1H_price:
    110596
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
08:38:53
29 Aug 2025
09:30:00
51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03264 0.03295 0.03218 1.48 0.00853
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 0.03264
  • Stop Loss: 0.03295
  • Take Profit: 0.03218

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03295 - 0.03264 = 0.00031

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03264 - 0.03218 = 0.00046

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00046 / 0.00031 = 1.4839

📌 Position Size

Amount Margin Quantity Leverage
847.2116 100 25956.2389 8.47
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 0.00031

Taille de position = 8 / 0.00031 = 25806.45

Taille de position USD = 25806.45 x 0.03264 = 842.32

Donc, tu peux acheter 25806.45 avec un stoploss a 0.03295

Avec un position size USD de 842.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 25806.45 x 0.00031 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 25806.45 x 0.00046 = 11.87

Si Take Profit atteint, tu gagneras 11.87$

Résumé

  • Taille de position 25806.45
  • Taille de position USD 842.32
  • Perte potentielle 8
  • Gain potentiel 11.87
  • Risk-Reward Ratio 1.4839

📌 Peformances

TP % Target TP $ Target
1.41 % 11.94 $
SL % Target SL $ Target
0.95 % 8.05 $
PNL PNL %
11.94 $ 1.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1838 % 19.35 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.03202
            [stop_loss] => 0.03295
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 09:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.031865
            [stop_loss] => 0.03295
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 09:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.03171
            [stop_loss] => 0.03295
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.031555
            [stop_loss] => 0.03295
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 09:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0314
            [stop_loss] => 0.03295
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.031245
            [stop_loss] => 0.03295
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.03109
            [stop_loss] => 0.03295
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.030935
            [stop_loss] => 0.03295
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 13:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00159
            [max_drawdown] => 5.9999999999998E-5
            [rr_ratio] => 26.5
            [high] => 0.03270000
            [low] => 0.03105000
            [mfe_pct] => 4.87
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 26.5
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T08:38:53-04:00
            [end_at] => 2025-08-29T10:38:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00185
            [max_drawdown] => 5.9999999999998E-5
            [rr_ratio] => 30.83
            [high] => 0.03270000
            [low] => 0.03079000
            [mfe_pct] => 5.67
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 30.83
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T08:38:53-04:00
            [end_at] => 2025-08-29T15:38:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03324000
            [high_after] => 0.03270000
            [low_before] => 0.03150000
            [low_after] => 0.03083000
            [is_new_high] => 
            [is_new_low] => 1
        )

)