Trade

sell - AI16Z

Status
win
2025-08-18 01:16:24
23 minutes
PNL
1.06
Entry: 0.1229
Last: 0.12160000

Results

Status:
win
Trade Type:
sell
Prediction Score: 4.55
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
1 0.55
Prediction 3 Probability
1 0.87
ML Trade Score: 110
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0005810440858
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 0.123867
  4. ema21 - 0.125218
  5. ema50 - 0.12579
  6. ema100 - 0.128249
  7. price_ema9_diff - -0.00781331
  8. ema9_ema21_diff - -0.01079
  9. ema21_ema50_diff - -0.00454767
  10. price_ema100_diff - -0.0417087
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.409898
  14. adx - 0.221701
  15. kc_percentage - 0.235424
  16. kc_width_percentage - 0.0698371
  17. volume_ema_diff - 0.333803
  18. volume_ema1 - 590037.49368388
  19. volume_ema2 - 442372.08263325
  20. ¸
  21. 15m
  22. ema9 - 0.122076
  23. ema21 - 0.122954
  24. ema50 - 0.12473
  25. ema100 - 0.125795
  26. price_ema9_diff - 0.00674299
  27. ema9_ema21_diff - -0.00713444
  28. ema21_ema50_diff - -0.0142443
  29. price_ema100_diff - -0.0230151
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.459913
  33. adx - 0.411464
  34. kc_percentage - 0.507529
  35. kc_width_percentage - 0.0354323
  36. volume_ema_diff - -0.450545
  37. volume_ema1 - 86981.221619749
  38. volume_ema2 - 158304.65380036
  39. ¸
  40. 5m
  41. ema9 - 0.122211
  42. ema21 - 0.121789
  43. ema50 - 0.122491
  44. ema100 - 0.12376
  45. price_ema9_diff - 0.00563501
  46. ema9_ema21_diff - 0.0034623
  47. ema21_ema50_diff - -0.00572833
  48. price_ema100_diff - -0.00695058
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.61841
  52. adx - 0.304276
  53. kc_percentage - 1.01505
  54. kc_width_percentage - 0.0174579
  55. volume_ema_diff - -0.622769
  56. volume_ema1 - 23487.200329867
  57. volume_ema2 - 62262.238690842
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 116317
  62. 5m_price_ema100_diff: -0.0062656
  63. 5m_price: 115588
  64. 5m_correlation_with_coin: 0.730229
  65. btc_indicators
  66. 15m_ema100: 117163
  67. 15m_price_ema100_diff: -0.0134458
  68. 15m_price: 115588
  69. btc_indicators
  70. 1H_ema100: 118516
  71. 1H_price_ema100_diff: -0.0247027
  72. 1H_price: 115588
  73. ¸

Short Trade on AI16Z

The 18 Aug 2025 at 01:16:24

With 9178.879 AI16Z at 0.1229$ per unit.

Position size of 1128.0842 $

Take profit at 0.1216 (1.06 %) and Stop Loss at 0.1238 (0.73 %)

That's a 1.44 RR Trade

📌 Similar Trades

Similar Trade Score: 25.67 %

Symbol Start at Seach Score Trade Score Trades Count
ALGO 2025-08-18 01:07:14 0.9764 30 2
FLOKI 2025-08-18 01:14:03 0.9792 30 1
CRV 2025-08-18 01:12:59 0.9717 30 1
EIGEN 2025-08-18 01:09:51 0.9662 30 2
KAS 2025-08-18 01:15:05 0.9678 30 1
XLM 2025-08-18 01:12:09 0.9663 30 1
DYDX 2025-08-18 01:12:52 0.9658 30 1
PENGU 2025-08-18 01:06:25 0.9622 -13.33 3
GALA 2025-08-18 01:12:35 0.9642 30 1
SAND 2025-08-18 01:12:44 0.961 30 1

📌 Time Data

Start at Closed at Duration
18 Aug 2025
01:16:24
18 Aug 2025
01:40:00
23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1229 0.1238 0.1216 1.44 0.1273
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 0.1229
  • Stop Loss: 0.1238
  • Take Profit: 0.1216

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1238 - 0.1229 = 0.0009

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1229 - 0.1216 = 0.0013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0013 / 0.0009 = 1.4444

📌 Position Size

Amount Margin Quantity Leverage
1128.0842 100 9178.879 11.28
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 0.0009

Taille de position = 8 / 0.0009 = 8888.89

Taille de position USD = 8888.89 x 0.1229 = 1092.44

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1238

Avec un position size USD de 1092.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.0009 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0013 = 11.56

Si Take Profit atteint, tu gagneras 11.56$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1092.44
  • Perte potentielle 8
  • Gain potentiel 11.56
  • Risk-Reward Ratio 1.4444

📌 Peformances

TP % Target TP $ Target
1.06 % 11.93 $
SL % Target SL $ Target
0.73 % 8.26 $
PNL PNL %
11.93 $ 1.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1211
            [stop_loss] => 0.1238
            [rr_ratio] => 2
            [closed_at] => 2025-08-18 01:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.12065
            [stop_loss] => 0.1238
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-18 01:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1202
            [stop_loss] => 0.1238
            [rr_ratio] => 3
            [closed_at] => 2025-08-18 02:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.11975
            [stop_loss] => 0.1238
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-18 02:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1193
            [stop_loss] => 0.1238
            [rr_ratio] => 4
            [closed_at] => 2025-08-18 02:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.11885
            [stop_loss] => 0.1238
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-18 02:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1184
            [stop_loss] => 0.1238
            [rr_ratio] => 5
            [closed_at] => 2025-08-18 02:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.11795
            [stop_loss] => 0.1238
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-18 05:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0045
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.12280000
            [low] => 0.11840000
            [mfe_pct] => 3.66
            [mae_pct] => -0.08
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-18T01:16:24-04:00
            [end_at] => 2025-08-18T03:16:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.005
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.12280000
            [low] => 0.11790000
            [mfe_pct] => 4.07
            [mae_pct] => -0.08
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-18T01:16:24-04:00
            [end_at] => 2025-08-18T08:16:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.12630000
            [high_after] => 0.12280000
            [low_before] => 0.11940000
            [low_after] => 0.11790000
            [is_new_high] => 
            [is_new_low] => 1
        )

)