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Trade

sell - AI16Z

Status
win
2025-06-04 11:27:46
47 minutes
PNL
1.55
Entry: 0.2323
Last: 0.22870000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.02
Prediction 1 Accuracy
Weak Trade
0.7
Prediction 2 Accuracy
0 0.71
ML Trade Score: 140
ML Pullback Score: 9.3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.001619965564
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 0.229734
  4. ema21 - 0.232937
  5. ema50 - 0.235635
  6. ema100 - 0.232626
  7. price_ema9_diff - 0.0111659
  8. ema9_ema21_diff - -0.0137492
  9. ema21_ema50_diff - -0.0114498
  10. price_ema100_diff - -0.00140466
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.480824
  14. kc_percentage - 0.484388
  15. kc_width_percentage - 0.113775
  16. volume_ema_diff - -0.221497
    17. ¸
  17. 15m
  18. ema9 - 0.228895
  19. ema21 - 0.228944
  20. ema50 - 0.231155
  21. ema100 - 0.234486
  22. price_ema9_diff - 0.0148717
  23. ema9_ema21_diff - -0.000211504
  24. ema21_ema50_diff - -0.00956677
  25. price_ema100_diff - -0.00932468
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.585516
  29. kc_percentage - 0.793431
  30. kc_width_percentage - 0.0500744
  31. volume_ema_diff - 0.0285977
    32. ¸
  32. 5m
  33. ema9 - 0.230475
  34. ema21 - 0.228867
  35. ema50 - 0.228462
  36. ema100 - 0.229121
  37. price_ema9_diff - 0.00791664
  38. ema9_ema21_diff - 0.00702712
  39. ema21_ema50_diff - 0.00177213
  40. price_ema100_diff - 0.0138721
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.650703
  44. kc_percentage - 1.02275
  45. kc_width_percentage - 0.0276505
  46. volume_ema_diff - 0.0972319
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 105111
  50. 5m_price_ema100_diff: 0.00229362
  51. 5m_price: 105352
  52. 5m_correlation_with_coin: 0.73716
  53. btc_indicators
  54. 15m_ema100: 105406
  55. 15m_price_ema100_diff: -0.000515821
  56. 15m_price: 105352
  57. btc_indicators
  58. 1H_ema100: 105008
  59. 1H_price_ema100_diff: 0.00327712
  60. 1H_price: 105352
    61. ¸

Short Trade on AI16Z

The 04 Jun 2025 at 11:27:46

With 3292.2511 AI16Z at 0.2323$ per unit.

Position size of 764.7899 $

Take profit at 0.2287 (1.55 %) and Stop Loss at 0.2347 (1.03 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 13.89 %

Symbol Start at Seach Score Trade Score Trades Count
GRIFFAIN 2025-06-04 11:30:08 0.8944 -35 2
BB 2025-06-17 15:37:16 0.8862 -35 2
TAO 2025-05-28 14:17:38 0.8792 50 2
XRP 2025-06-17 15:39:17 0.88 33.33 3
ADA 2025-06-17 15:39:42 0.8733 30 1
CAKE 2025-05-30 07:13:37 0.8729 40 2

📌 Time Data

Start at Closed at Duration
04 Jun 2025
11:27:46		 04 Jun 2025
12:15:00		 47 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2323 0.2347 0.2287 1.5 0.2009
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 0.2323
  • Stop Loss: 0.2347
  • Take Profit: 0.2287

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2347 - 0.2323 = 0.0024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2323 - 0.2287 = 0.0036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0036 / 0.0024 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
764.7899 100 3292.2511 7.65
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 0.0024

Taille de position = 8 / 0.0024 = 3333.33

Taille de position USD = 3333.33 x 0.2323 = 774.33

Donc, tu peux acheter 3333.33 avec un stoploss a 0.2347

Avec un position size USD de 774.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3333.33 x 0.0024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3333.33 x 0.0036 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 3333.33
  • Taille de position USD 774.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.55 % 11.85 $
SL % Target SL $ Target
1.03 % 7.9 $
PNL PNL %
11.85 $ 1.55
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6457167455876 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2275
            [stop_loss] => 0.2347
            [rr_ratio] => 2
            [closed_at] => 2025-06-04 13:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2263
            [stop_loss] => 0.2347
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-04 13:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2251
            [stop_loss] => 0.2347
            [rr_ratio] => 3
            [closed_at] => 2025-06-04 13:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2239
            [stop_loss] => 0.2347
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-04 13:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2227
            [stop_loss] => 0.2347
            [rr_ratio] => 4
            [closed_at] => 2025-06-04 15:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2215
            [stop_loss] => 0.2347
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-04 15:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2203
            [stop_loss] => 0.2347
            [rr_ratio] => 5
            [closed_at] => 2025-06-04 15:35:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2191
            [stop_loss] => 0.2347
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-04 15:35:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2179
            [stop_loss] => 0.2347
            [rr_ratio] => 6
            [closed_at] => 2025-06-04 15:35:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.2167
            [stop_loss] => 0.2347
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-04 16:00:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.2155
            [stop_loss] => 0.2347
            [rr_ratio] => 7
            [closed_at] => 2025-06-04 16:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0062
            [max_drawdown] => 0.0015
            [rr_ratio] => 4.13
            [high] => 0.23380000
            [low] => 0.22610000
            [mfe_pct] => 2.67
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 4.13
            [candles_analyzed] => 24
            [start_at] => 2025-06-04T11:27:46-04:00
            [end_at] => 2025-06-04T13:27:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0253
            [max_drawdown] => 0.0015
            [rr_ratio] => 16.87
            [high] => 0.23380000
            [low] => 0.20700000
            [mfe_pct] => 10.89
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 16.87
            [candles_analyzed] => 72
            [start_at] => 2025-06-04T11:27:46-04:00
            [end_at] => 2025-06-04T17:27:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.23320000
            [high_after] => 0.23380000
            [low_before] => 0.22230000
            [low_after] => 0.20700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)