Short Trade on LQTY 29 Jun 2025 at 14:09:26

Take profit at 1.4603 (1.02 %) and Stop Loss at 1.4853 (0.68 %)

Short Trade on LQTY

The 29 Jun 2025 at 14:09:26

With 798.6561 LQTY at 1.4753$ per unit.

Position size of 1178.2574 $

Take profit at 1.4603 (1.02 %) and Stop Loss at 1.4853 (0.68 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 4.31
Prediction Score: 1.1083
Prediction 1 Probability
Strong Trade
0.55
Prediction 2 Probability
0 0.41
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.164962

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.006677884515
Details
  1. score: 1
  2. 1H
  3. ema9 : 1.47491
  4. ema21 : 1.48036
  5. ema50 : 1.49483
  6. ema100 : 1.4987
  7. price_ema9_diff : 0.000263512
  8. ema9_ema21_diff : -0.00368457
  9. ema21_ema50_diff : -0.00967957
  10. price_ema100_diff : -0.0156161
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.480221
  14. kc_percentage : 0.465584
  15. kc_width_percentage : 0.0904887
  16. volume_ema_diff : -0.489976
  17. volume_ema1 : 196308.28756486
  18. volume_ema2 : 384900.73127497
  19. ¸
  20. 15m
  21. ema9 : 1.46362
  22. ema21 : 1.46758
  23. ema50 : 1.47434
  24. ema100 : 1.46603
  25. price_ema9_diff : 0.0079776
  26. ema9_ema21_diff : -0.00270195
  27. ema21_ema50_diff : -0.00458362
  28. price_ema100_diff : 0.00632114
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.523971
  32. kc_percentage : 0.639756
  33. kc_width_percentage : 0.0399219
  34. volume_ema_diff : -0.527069
  35. volume_ema1 : 39645.206885116
  36. volume_ema2 : 83828.822914207
  37. ¸
  38. 5m
  39. ema9 : 1.46797
  40. ema21 : 1.46228
  41. ema50 : 1.46476
  42. ema100 : 1.47645
  43. price_ema9_diff : 0.00499162
  44. ema9_ema21_diff : 0.00388669
  45. ema21_ema50_diff : -0.00169282
  46. price_ema100_diff : -0.000781676
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.627441
  50. kc_percentage : 1.00164
  51. kc_width_percentage : 0.0172737
  52. volume_ema_diff : -0.426242
  53. volume_ema1 : 11823.211628964
  54. volume_ema2 : 20606.628082535
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    107772
  59. 5m_price_ema100_diff:
    -0.00293878
  60. 5m_price:
    107455
  61. 5m_correlation_with_coin:
    0.164962
  62. btc_indicators
  63. 15m_ema100:
    107570
  64. 15m_price_ema100_diff:
    -0.00106377
  65. 15m_price:
    107455
  66. btc_indicators
  67. 1H_ema100:
    107300
  68. 1H_price_ema100_diff:
    0.00144314
  69. 1H_price:
    107455
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Jun 2025
14:09:26
29 Jun 2025
16:05:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.4753 1.4853 1.4603 1.5 0.2669
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 1.4753
  • Stop Loss: 1.4853
  • Take Profit: 1.4603

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.4853 - 1.4753 = 0.01

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.4753 - 1.4603 = 0.015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.015 / 0.01 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1178.2574 100 798.6561 11.78
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 0.01

Taille de position = 8 / 0.01 = 800

Taille de position USD = 800 x 1.4753 = 1180.24

Donc, tu peux acheter 800 avec un stoploss a 1.4853

Avec un position size USD de 1180.24$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 800 x 0.01 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 800 x 0.015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 800
  • Taille de position USD 1180.24
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.02 % 11.98 $
SL % Target SL $ Target
0.68 % 7.99 $
PNL PNL %
11.98 $ 1.02
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2102 % 31 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.455
            [stop_loss] => 1.485
            [rr_ratio] => 2
            [closed_at] => 2025-06-29 18:15:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 1.45
            [stop_loss] => 1.485
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-29 18:15:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.445
            [stop_loss] => 1.485
            [rr_ratio] => 3
            [closed_at] => 2025-06-29 18:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.44
            [stop_loss] => 1.485
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-29 18:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.435
            [stop_loss] => 1.485
            [rr_ratio] => 4
            [closed_at] => 2025-06-29 18:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.43
            [stop_loss] => 1.485
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-29 18:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.425
            [stop_loss] => 1.485
            [rr_ratio] => 5
            [closed_at] => 2025-06-29 18:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.42
            [stop_loss] => 1.485
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-29 18:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.415
            [stop_loss] => 1.485
            [rr_ratio] => 6
            [closed_at] => 2025-06-29 18:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.41
            [stop_loss] => 1.485
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-29 18:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.405
            [stop_loss] => 1.485
            [rr_ratio] => 7
            [closed_at] => 2025-06-29 18:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0156
            [max_drawdown] => 0.0027999999999999
            [rr_ratio] => 5.57
            [high] => 1.47810000
            [low] => 1.45970000
            [mfe_pct] => 1.06
            [mae_pct] => 0.19
            [mfe_mae_ratio] => 5.57
            [candles_analyzed] => 24
            [start_at] => 2025-06-29T14:09:26-04:00
            [end_at] => 2025-06-29T16:09:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0156
            [max_drawdown] => 0.0307
            [rr_ratio] => 0.51
            [high] => 1.50600000
            [low] => 1.45970000
            [mfe_pct] => 1.06
            [mae_pct] => 2.08
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 72
            [start_at] => 2025-06-29T14:09:26-04:00
            [end_at] => 2025-06-29T20:09:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.48860000
            [high_after] => 1.50600000
            [low_before] => 1.43850000
            [low_after] => 1.45970000
            [is_new_high] => 
            [is_new_low] => 
        )

)