Trade

buy - AI16Z

Status
win
2025-08-09 10:09:55
45 minutes
PNL
1.08
Entry: 0.1391
Last: 0.14060000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.4545
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.59
ML Trade Score: 110
ML Pullback Score: 8

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.000656757138
Details
  1. score: 2.1
  2. 1H
  3. ema9 - 0.1401
  4. ema21 - 0.138656
  5. ema50 - 0.135419
  6. ema100 - 0.132197
  7. price_ema9_diff - -0.00714259
  8. ema9_ema21_diff - 0.0104149
  9. ema21_ema50_diff - 0.0239004
  10. price_ema100_diff - 0.0522144
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.531795
  14. adx - 0.401206
  15. kc_percentage - 0.535815
  16. kc_width_percentage - 0.0645148
  17. volume_ema_diff - -0.0545661
  18. volume_ema1 - 504281.6228823
  19. volume_ema2 - 533386.46769763
  20. ¸
  21. 15m
  22. ema9 - 0.140688
  23. ema21 - 0.14092
  24. ema50 - 0.13988
  25. ema100 - 0.138421
  26. price_ema9_diff - -0.0112933
  27. ema9_ema21_diff - -0.00164522
  28. ema21_ema50_diff - 0.00743903
  29. price_ema100_diff - 0.00490529
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.40728
  33. adx - 0.240874
  34. kc_percentage - 0.115111
  35. kc_width_percentage - 0.0343234
  36. volume_ema_diff - 0.45598
  37. volume_ema1 - 219509.53005415
  38. volume_ema2 - 150764.07922732
  39. ¸
  40. 5m
  41. ema9 - 0.140011
  42. ema21 - 0.140752
  43. ema50 - 0.141189
  44. ema100 - 0.141124
  45. price_ema9_diff - -0.00651037
  46. ema9_ema21_diff - -0.00526376
  47. ema21_ema50_diff - -0.0030938
  48. price_ema100_diff - -0.0143481
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.328152
  52. adx - 0.296251
  53. kc_percentage - -0.0991737
  54. kc_width_percentage - 0.0193674
  55. volume_ema_diff - 0.673103
  56. volume_ema1 - 97615.765208318
  57. volume_ema2 - 58344.129452483
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 117021
  62. 5m_price_ema100_diff: -0.00156203
  63. 5m_price: 116838
  64. 5m_correlation_with_coin: 0.623342
  65. btc_indicators
  66. 15m_ema100: 116811
  67. 15m_price_ema100_diff: 0.0002294
  68. 15m_price: 116838
  69. btc_indicators
  70. 1H_ema100: 115973
  71. 1H_price_ema100_diff: 0.00746365
  72. 1H_price: 116838
  73. ¸

Long Trade on AI16Z

The 09 Aug 2025 at 10:09:55

With 8120.7086 AI16Z at 0.1391$ per unit.

Position size of 1129.5906 $

Take profit at 0.1406 (1.08 %) and Stop Loss at 0.1381 (0.72 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 26.25 %

Symbol Start at Seach Score Trade Score Trades Count
ONDO 2025-08-09 10:07:24 0.9836 40 1
WIF 2025-08-09 10:07:09 0.9822 40 1
KAS 2025-08-09 10:01:15 0.9739 -35 2
TIA 2025-08-09 10:06:48 0.9764 30 1
RENDER 2025-08-09 10:08:22 0.9689 40 1
1MBABYDOGE 2025-08-09 10:08:38 0.9675 40 1
RAY 2025-08-09 10:01:31 0.9645 -30 2
JUP 2025-08-09 10:07:02 0.9616 30 1
FARTCOIN 2025-08-09 10:09:49 0.959 30 1
TAO 2025-08-09 10:07:49 0.9572 40 1
SPX 2025-08-09 10:09:07 0.9546 60 1
MOODENG 2025-08-09 10:08:49 0.954 30 1

📌 Time Data

Start at Closed at Duration
09 Aug 2025
10:09:55
09 Aug 2025
10:55:00
45 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1391 0.1381 0.1406 1.5 0.1276
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 0.1391
  • Stop Loss: 0.1381
  • Take Profit: 0.1406

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1381 - 0.1391 = -0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1391 - 0.1406 = -0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0015 / -0.001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1129.5906 100 8120.7086 11.30
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 0.1391 = -1112.8

Donc, tu peux acheter -8000 avec un stoploss a 0.1381

Avec un position size USD de -1112.8$

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 -0.0015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -8000
  • Taille de position USD -1112.8
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.08 % 12.18 $
SL % Target SL $ Target
0.72 % 8.12 $
PNL PNL %
12.18 $ 1.08
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1411
            [stop_loss] => 0.1381
            [rr_ratio] => 2
            [closed_at] => 2025-08-09 11:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1416
            [stop_loss] => 0.1381
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-09 12:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1421
            [stop_loss] => 0.1381
            [rr_ratio] => 3
            [closed_at] => 2025-08-09 13:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1426
            [stop_loss] => 0.1381
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-09 13:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1431
            [stop_loss] => 0.1381
            [rr_ratio] => 4
            [closed_at] => 2025-08-09 15:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1436
            [stop_loss] => 0.1381
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-09 15:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1441
            [stop_loss] => 0.1381
            [rr_ratio] => 5
            [closed_at] => 2025-08-09 15:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1446
            [stop_loss] => 0.1381
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-09 15:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0024
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.14150000
            [low] => 0.13910000
            [mfe_pct] => 1.73
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-09T10:09:55-04:00
            [end_at] => 2025-08-09T12:09:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0075
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.14660000
            [low] => 0.13910000
            [mfe_pct] => 5.39
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-09T10:09:55-04:00
            [end_at] => 2025-08-09T17:09:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14350000
            [high_after] => 0.14490000
            [low_before] => 0.13860000
            [low_after] => 0.13910000
            [is_new_high] => 1
            [is_new_low] => 
        )

)