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Short Trade on LPT

Short Trade on LPT

The 12 Jul 2025 at 20:44:55

With 258.7451 LPT at 6.519$ per unit.

Position size of 1686.7592 $

Take profit at 6.4726 (0.71 %) and Stop Loss at 6.5499 (0.47 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 2.73
Prediction Score: -0.6067
Prediction 1 Probability
Weak Trade
0.72
Prediction 2 Probability
0 0.5
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.695247

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.02061230816
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 6.47227
  4. ema21 - 6.52032
  5. ema50 - 6.56354
  6. ema100 - 6.49919
  7. price_ema9_diff - 0.0072189
  8. ema9_ema21_diff - -0.00736837
  9. ema21_ema50_diff - -0.00658541
  10. price_ema100_diff - 0.00304803
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.480989
  14. kc_percentage - 0.508103
  15. kc_width_percentage - 0.0543438
  16. volume_ema_diff - -0.615655
  17. volume_ema1 - 107773.38543085
  18. volume_ema2 - 280408.10084028
    19. ¸
  19. 15m
  20. ema9 - 6.46285
  21. ema21 - 6.45341
  22. ema50 - 6.47205
  23. ema100 - 6.51096
  24. price_ema9_diff - 0.00868758
  25. ema9_ema21_diff - 0.00146243
  26. ema21_ema50_diff - -0.00287988
  27. price_ema100_diff - 0.0012336
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.555151
  31. kc_percentage - 0.984789
  32. kc_width_percentage - 0.02069
  33. volume_ema_diff - -0.493439
  34. volume_ema1 - 18449.717850695
  35. volume_ema2 - 36421.526304949
    36. ¸
  36. 5m
  37. ema9 - 6.48212
  38. ema21 - 6.46775
  39. ema50 - 6.45441
  40. ema100 - 6.44324
  41. price_ema9_diff - 0.00568848
  42. ema9_ema21_diff - 0.00222145
  43. ema21_ema50_diff - 0.00206764
  44. price_ema100_diff - 0.0117578
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.673822
  48. kc_percentage - 1.07543
  49. kc_width_percentage - 0.0134469
  50. volume_ema_diff - 2.73518
  51. volume_ema1 - 37346.047558497
  52. volume_ema2 - 9998.4412968614
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 117327
  56. 5m_price_ema100_diff: 0.000476732
  57. 5m_price: 117383
  58. 5m_correlation_with_coin: 0.695247
  59. btc_indicators
  60. 15m_ema100: 117466
  61. 15m_price_ema100_diff: -0.00122847
  62. 15m_price: 117322
  63. btc_indicators
  64. 1H_ema100: 114810
  65. 1H_price_ema100_diff: 0.0224107
  66. 1H_price: 117383
    67. ¸

📌 Time Data

Start at Closed at Duration
12 Jul 2025
20:44:55		 12 Jul 2025
22:15:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.519 6.5499 6.4726 1.5 3.451
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 6.519
  • Stop Loss: 6.5499
  • Take Profit: 6.4726

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.5499 - 6.519 = 0.0309

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.519 - 6.4726 = 0.0464

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0464 / 0.0309 = 1.5016

📌 Position Size

Amount Margin Quantity Leverage
1686.7592 100 258.7451 16.87
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 0.0309

Taille de position = 8 / 0.0309 = 258.9

Taille de position USD = 258.9 x 6.519 = 1687.77

Donc, tu peux acheter 258.9 avec un stoploss a 6.5499

Avec un position size USD de 1687.77$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 258.9 x 0.0309 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 258.9 x 0.0464 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 258.9
  • Taille de position USD 1687.77
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5016

📌 Peformances

TP % Target TP $ Target
0.71 % 12.01 $
SL % Target SL $ Target
0.47 % 8 $
PNL PNL %
11.9 $ 0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4142 % 87.11 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 6.457
            [stop_loss] => 6.55
            [rr_ratio] => 2
            [closed_at] => 2025-07-13 00:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 6.4415
            [stop_loss] => 6.55
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-13 00:50:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 6.426
            [stop_loss] => 6.55
            [rr_ratio] => 3
            [closed_at] => 2025-07-13 00:50:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 6.4105
            [stop_loss] => 6.55
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-13 00:50:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 6.395
            [stop_loss] => 6.55
            [rr_ratio] => 4
            [closed_at] => 2025-07-13 00:50:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 6.3795
            [stop_loss] => 6.55
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-13 00:50:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 6.364
            [stop_loss] => 6.55
            [rr_ratio] => 5
            [closed_at] => 2025-07-13 00:50:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 6.3485
            [stop_loss] => 6.55
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-13 00:50:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 6.333
            [stop_loss] => 6.55
            [rr_ratio] => 6
            [closed_at] => 2025-07-13 00:50:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 6.3175
            [stop_loss] => 6.55
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-13 00:50:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 6.302
            [stop_loss] => 6.55
            [rr_ratio] => 7
            [closed_at] => 2025-07-13 00:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.056
            [max_drawdown] => 0.027
            [rr_ratio] => 2.07
            [high] => 6.54600000
            [low] => 6.46300000
            [mfe_pct] => 0.86
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 2.07
            [candles_analyzed] => 24
            [start_at] => 2025-07-12T20:44:55-04:00
            [end_at] => 2025-07-12T22:44:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.075
            [max_drawdown] => 0.042
            [rr_ratio] => 1.79
            [high] => 6.56100000
            [low] => 6.44400000
            [mfe_pct] => 1.15
            [mae_pct] => 0.64
            [mfe_mae_ratio] => 1.79
            [candles_analyzed] => 72
            [start_at] => 2025-07-12T20:44:55-04:00
            [end_at] => 2025-07-13T02:44:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.51900000
            [high_after] => 6.56100000
            [low_before] => 6.37600000
            [low_after] => 6.44400000
            [is_new_high] => 
            [is_new_low] => 
        )

)