Trade

sell - CRO

Status
win
2025-08-16 03:47:56
32 minutes
PNL
0.40
Entry: 0.1513
Last: 0.15070000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.45
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
1 0.53
Prediction 3 Probability
1 0.56
ML Trade Score: 100
ML Pullback Score: 7.14

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0002715844982
Details
  1. score: 1.16
  2. 1H
  3. ema9 - 0.150906
  4. ema21 - 0.151834
  5. ema50 - 0.154799
  6. ema100 - 0.158679
  7. price_ema9_diff - 0.00254329
  8. ema9_ema21_diff - -0.00611515
  9. ema21_ema50_diff - -0.0191556
  10. price_ema100_diff - -0.0465659
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.449108
  14. adx - 0.229058
  15. kc_percentage - 0.4271
  16. kc_width_percentage - 0.0411877
  17. volume_ema_diff - -0.645217
  18. volume_ema1 - 104225.60935568
  19. volume_ema2 - 293773.24853029
  20. ¸
  21. 15m
  22. ema9 - 0.150634
  23. ema21 - 0.150695
  24. ema50 - 0.15122
  25. ema100 - 0.152374
  26. price_ema9_diff - 0.00434924
  27. ema9_ema21_diff - -0.000402344
  28. ema21_ema50_diff - -0.00346881
  29. price_ema100_diff - -0.00711822
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.561729
  33. adx - 0.207712
  34. kc_percentage - 0.808059
  35. kc_width_percentage - 0.0130828
  36. volume_ema_diff - -0.443658
  37. volume_ema1 - 21915.024291879
  38. volume_ema2 - 39391.340126942
  39. ¸
  40. 5m
  41. ema9 - 0.150886
  42. ema21 - 0.150557
  43. ema50 - 0.15057
  44. ema100 - 0.150861
  45. price_ema9_diff - 0.00267458
  46. ema9_ema21_diff - 0.0021869
  47. ema21_ema50_diff - -8.95576E-5
  48. price_ema100_diff - 0.00283926
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.687809
  52. adx - 0.271549
  53. kc_percentage - 1.16459
  54. kc_width_percentage - 0.00715413
  55. volume_ema_diff - 0.0409881
  56. volume_ema1 - 9561.2362672104
  57. volume_ema2 - 9184.7696519415
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 117458
  62. 5m_price_ema100_diff: 0.00135357
  63. 5m_price: 117617
  64. 5m_correlation_with_coin: 0.602563
  65. btc_indicators
  66. 15m_ema100: 117751
  67. 15m_price_ema100_diff: -0.00113765
  68. 15m_price: 117617
  69. btc_indicators
  70. 1H_ema100: 118933
  71. 1H_price_ema100_diff: -0.0110686
  72. 1H_price: 117617
  73. ¸

Short Trade on CRO

The 16 Aug 2025 at 03:47:56

With 19637.8415 CRO at 0.1513$ per unit.

Position size of 2971.009 $

Take profit at 0.1507 (0.4 %) and Stop Loss at 0.1517 (0.26 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -70 %

Symbol Start at Seach Score Trade Score Trades Count
DOG 2025-05-29 05:01:50 0.8393 -100 1
BERA 2025-04-05 04:11:25 0.8328 -100 1
1000BONK 2025-07-31 12:42:29 0.807 40 1
ATH 2025-04-28 13:50:26 0.7998 -100 2
AIXBT 2025-06-05 08:20:39 0.8012 -100 2
EPIC 2025-07-25 17:09:29 0.8 -100 1
H 2025-07-26 23:23:42 0.7985 -100 1
ORCA 2025-08-12 08:32:46 0.798 30 1
API3 2025-03-28 07:34:45 0.7964 -100 1

📌 Time Data

Start at Closed at Duration
16 Aug 2025
03:47:56
16 Aug 2025
04:20:00
32 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1513 0.1517 0.1507 1.5 0.1557
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 0.1513
  • Stop Loss: 0.1517
  • Take Profit: 0.1507

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1517 - 0.1513 = 0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1513 - 0.1507 = 0.00059999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00059999999999999 / 0.00040000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2971.009 100 19637.8415 29.71
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 0.00040000000000001

Taille de position = 8 / 0.00040000000000001 = 20000

Taille de position USD = 20000 x 0.1513 = 3026

Donc, tu peux acheter 20000 avec un stoploss a 0.1517

Avec un position size USD de 3026$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00059999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 20000
  • Taille de position USD 3026
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.4 % 11.78 $
SL % Target SL $ Target
0.26 % 7.86 $
PNL PNL %
11.78 $ 0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2445 % 92.47 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1505
            [stop_loss] => 0.1517
            [rr_ratio] => 2
            [closed_at] => 2025-08-16 05:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1503
            [stop_loss] => 0.1517
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-16 05:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1501
            [stop_loss] => 0.1517
            [rr_ratio] => 3
            [closed_at] => 2025-08-16 05:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1499
            [stop_loss] => 0.1517
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-16 05:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1497
            [stop_loss] => 0.1517
            [rr_ratio] => 4
            [closed_at] => 2025-08-16 06:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1495
            [stop_loss] => 0.1517
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-16 07:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1493
            [stop_loss] => 0.1517
            [rr_ratio] => 5
            [closed_at] => 2025-08-16 07:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00090999999999999
            [max_drawdown] => 0.00037000000000001
            [rr_ratio] => 2.46
            [high] => 0.15167000
            [low] => 0.15039000
            [mfe_pct] => 0.6
            [mae_pct] => 0.24
            [mfe_mae_ratio] => 2.46
            [candles_analyzed] => 24
            [start_at] => 2025-08-16T03:47:56-04:00
            [end_at] => 2025-08-16T05:47:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00217
            [max_drawdown] => 0.00037000000000001
            [rr_ratio] => 5.86
            [high] => 0.15167000
            [low] => 0.14913000
            [mfe_pct] => 1.43
            [mae_pct] => 0.24
            [mfe_mae_ratio] => 5.86
            [candles_analyzed] => 84
            [start_at] => 2025-08-16T03:47:56-04:00
            [end_at] => 2025-08-16T10:47:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.15146000
            [high_after] => 0.15167000
            [low_before] => 0.14929000
            [low_after] => 0.14913000
            [is_new_high] => 
            [is_new_low] => 1
        )

)