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Short Trade on AI16Z

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Short Trade on AI16Z 19 Jun 2025 at 20:51:09

Take profit at 0.163 (0.85 %) and Stop Loss at 0.1654 (0.61 %)

Short Trade on AI16Z

The 19 Jun 2025 at 20:51:09

With 8374.4556 AI16Z at 0.1644$ per unit.

Position size of 1376.7605 $

Take profit at 0.163 (0.85 %) and Stop Loss at 0.1654 (0.61 %)

That's a 1.4 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 8
Prediction Score: 0.4818
Prediction 1 Probability
Strong Trade
0.54
Prediction 2 Probability
0 0.37
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.744708

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0006368573168
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.163577
  4. ema21 : 0.164918
  5. ema50 : 0.167531
  6. ema100 : 0.171016
  7. price_ema9_diff : 0.00502738
  8. ema9_ema21_diff : -0.00813298
  9. ema21_ema50_diff : -0.0155928
  10. price_ema100_diff : -0.0386909
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.469923
  14. kc_percentage : 0.463412
  15. kc_width_percentage : 0.0698135
  16. volume_ema_diff : -0.0830277
    17. ¸
  17. 15m
  18. ema9 : 0.16325
  19. ema21 : 0.163244
  20. ema50 : 0.164194
  21. ema100 : 0.166165
  22. price_ema9_diff : 0.00703904
  23. ema9_ema21_diff : 4.02016E-5
  24. ema21_ema50_diff : -0.00578805
  25. price_ema100_diff : -0.010624
  26. all_emas_in_trend : False
  27. all_emas_and_price_in_trend : False
  28. rsi : 0.53331
  29. kc_percentage : 0.726509
  30. kc_width_percentage : 0.0313243
  31. volume_ema_diff : -0.200558
    32. ¸
  32. 5m
  33. ema9 : 0.163331
  34. ema21 : 0.163104
  35. ema50 : 0.163095
  36. ema100 : 0.163041
  37. price_ema9_diff : 0.00654146
  38. ema9_ema21_diff : 0.00139524
  39. ema21_ema50_diff : 5.16051E-5
  40. price_ema100_diff : 0.0083307
  41. all_emas_in_trend : True
  42. all_emas_and_price_in_trend : True
  43. rsi : 0.606354
  44. kc_percentage : 1.01003
  45. kc_width_percentage : 0.0154107
  46. volume_ema_diff : 0.0474766
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 
    104429
  50. 5m_price_ema100_diff: 
    0.00298185
  51. 5m_price: 
    104740
  52. 5m_correlation_with_coin: 
    0.744708
  53. btc_indicators
  54. 15m_ema100: 
    104539
  55. 15m_price_ema100_diff: 
    0.0019869
  56. 15m_price: 
    104747
  57. btc_indicators
  58. 1H_ema100: 
    104960
  59. 1H_price_ema100_diff: 
    -0.00209247
  60. 1H_price: 
    104740
    61. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
19 Jun 2025
20:51:09		 19 Jun 2025
20:55:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1644 0.1654 0.163 1.4 0.0663
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 0.1644
  • Stop Loss: 0.1654
  • Take Profit: 0.163

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1654 - 0.1644 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1644 - 0.163 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.001 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
1376.7605 100 8374.4556 13.77
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.1644 = 1315.2

Donc, tu peux acheter 8000 avec un stoploss a 0.1654

Avec un position size USD de 1315.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0014 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position 8000
  • Taille de position USD 1315.2
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.85 % 11.72 $
SL % Target SL $ Target
0.61 % 8.37 $
PNL PNL %
11.72 $ 0.85
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1624
            [stop_loss] => 0.1654
            [rr_ratio] => 2
            [closed_at] => 2025-06-19 20:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1619
            [stop_loss] => 0.1654
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-19 21:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1614
            [stop_loss] => 0.1654
            [rr_ratio] => 3
            [closed_at] => 2025-06-19 21:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1609
            [stop_loss] => 0.1654
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-19 21:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1604
            [stop_loss] => 0.1654
            [rr_ratio] => 4
            [closed_at] => 2025-06-19 22:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1599
            [stop_loss] => 0.1654
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-20 00:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1594
            [stop_loss] => 0.1654
            [rr_ratio] => 5
            [closed_at] => 2025-06-20 00:25:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1589
            [stop_loss] => 0.1654
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-20 00:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1584
            [stop_loss] => 0.1654
            [rr_ratio] => 6
            [closed_at] => 2025-06-20 00:50:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1579
            [stop_loss] => 0.1654
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-20 01:20:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1574
            [stop_loss] => 0.1654
            [rr_ratio] => 7
            [closed_at] => 2025-06-20 01:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0042
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.16390000
            [low] => 0.16020000
            [mfe_pct] => 2.55
            [mae_pct] => -0.3
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-06-19T20:51:09-04:00
            [end_at] => 2025-06-19T22:51:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0071
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.16390000
            [low] => 0.15730000
            [mfe_pct] => 4.32
            [mae_pct] => -0.3
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-06-19T20:51:09-04:00
            [end_at] => 2025-06-20T02:51:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16510000
            [high_after] => 0.16390000
            [low_before] => 0.16130000
            [low_after] => 0.15730000
            [is_new_high] => 
            [is_new_low] => 1
        )

)