Long Trade on 1000CAT 20 Jul 2025 at 06:54:24

Take profit at 0.009183 (1.06 %) and Stop Loss at 0.009023 (0.7 %)

Long Trade on 1000CAT

The 20 Jul 2025 at 06:54:24

With 124797.7802 1000CAT at 0.009087$ per unit.

Position size of 1134.0374 $

Take profit at 0.009183 (1.06 %) and Stop Loss at 0.009023 (0.7 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 120
ML Pullback Score: 8
Prediction Score: -0.7
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.61
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.397887

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 4.273580286E-5
Details
  1. score: 2.06
  2. 1H
  3. ema9 : 0.00907596
  4. ema21 : 0.00895679
  5. ema50 : 0.00890392
  6. ema100 : 0.00884621
  7. price_ema9_diff : 0.00121542
  8. ema9_ema21_diff : 0.0133049
  9. ema21_ema50_diff : 0.00593886
  10. price_ema100_diff : 0.027219
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.564002
  14. kc_percentage : 0.658181
  15. kc_width_percentage : 0.0862163
  16. volume_ema_diff : 0.647391
  17. volume_ema1 : 400467.48652613
  18. volume_ema2 : 243091.92266703
  19. ¸
  20. 15m
  21. ema9 : 0.00917271
  22. ema21 : 0.0091562
  23. ema50 : 0.00904614
  24. ema100 : 0.00892407
  25. price_ema9_diff : -0.00934418
  26. ema9_ema21_diff : 0.00180293
  27. ema21_ema50_diff : 0.012166
  28. price_ema100_diff : 0.0182568
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.495686
  32. kc_percentage : 0.298239
  33. kc_width_percentage : 0.0397032
  34. volume_ema_diff : -0.738119
  35. volume_ema1 : 24069.204645834
  36. volume_ema2 : 91909.153410407
  37. ¸
  38. 5m
  39. ema9 : 0.00913288
  40. ema21 : 0.00917298
  41. ema50 : 0.00917803
  42. ema100 : 0.0091163
  43. price_ema9_diff : -0.00502378
  44. ema9_ema21_diff : -0.00437164
  45. ema21_ema50_diff : -0.000550026
  46. price_ema100_diff : -0.00321423
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.339282
  50. kc_percentage : -0.0595014
  51. kc_width_percentage : 0.0164323
  52. volume_ema_diff : -0.785545
  53. volume_ema1 : 6931.3706057822
  54. volume_ema2 : 32320.877556971
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    117965
  59. 5m_price_ema100_diff:
    -0.000650766
  60. 5m_price:
    117889
  61. 5m_correlation_with_coin:
    0.397887
  62. btc_indicators
  63. 15m_ema100:
    117965
  64. 15m_price_ema100_diff:
    -0.000440725
  65. 15m_price:
    117913
  66. btc_indicators
  67. 1H_ema100:
    118275
  68. 1H_price_ema100_diff:
    -0.00326777
  69. 1H_price:
    117889
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
20 Jul 2025
06:54:24
20 Jul 2025
07:35:00
40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.009087 0.009023 0.009183 1.5 0.001737
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 0.009087
  • Stop Loss: 0.009023
  • Take Profit: 0.009183

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.009023 - 0.009087 = -6.4E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.009087 - 0.009183 = -9.6000000000001E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -9.6000000000001E-5 / -6.4E-5 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1134.0374 100 124797.7802 11.34
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 -6.4E-5

Taille de position = 8 / -6.4E-5 = -125000

Taille de position USD = -125000 x 0.009087 = -1135.88

Donc, tu peux acheter -125000 avec un stoploss a 0.009023

Avec un position size USD de -1135.88$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -125000 x -6.4E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -125000 x -9.6000000000001E-5 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -125000
  • Taille de position USD -1135.88
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.06 % 11.98 $
SL % Target SL $ Target
0.7 % 7.99 $
PNL PNL %
11.98 $ 1.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2861 % 40.62 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.009215
            [stop_loss] => 0.009023
            [rr_ratio] => 2
            [closed_at] => 2025-07-20 07:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.009247
            [stop_loss] => 0.009023
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-20 07:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.009279
            [stop_loss] => 0.009023
            [rr_ratio] => 3
            [closed_at] => 2025-07-20 09:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.009311
            [stop_loss] => 0.009023
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-20 11:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.009343
            [stop_loss] => 0.009023
            [rr_ratio] => 4
            [closed_at] => 2025-07-20 11:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.009375
            [stop_loss] => 0.009023
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-20 11:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.009407
            [stop_loss] => 0.009023
            [rr_ratio] => 5
            [closed_at] => 2025-07-20 12:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.009439
            [stop_loss] => 0.009023
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-20 12:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.009471
            [stop_loss] => 0.009023
            [rr_ratio] => 6
            [closed_at] => 2025-07-20 12:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000169
            [max_drawdown] => 2.6E-5
            [rr_ratio] => 6.5
            [high] => 0.00925600
            [low] => 0.00906100
            [mfe_pct] => 1.86
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 6.5
            [candles_analyzed] => 24
            [start_at] => 2025-07-20T06:54:24-04:00
            [end_at] => 2025-07-20T08:54:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000403
            [max_drawdown] => 2.6E-5
            [rr_ratio] => 15.5
            [high] => 0.00949000
            [low] => 0.00906100
            [mfe_pct] => 4.43
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 15.5
            [candles_analyzed] => 72
            [start_at] => 2025-07-20T06:54:24-04:00
            [end_at] => 2025-07-20T12:54:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00975600
            [high_after] => 0.00949000
            [low_before] => 0.00892600
            [low_after] => 0.00906100
            [is_new_high] => 
            [is_new_low] => 
        )

)