Trade

sell - IN

Status
win
2025-08-19 05:03:15
2 hours
PNL
1.74
Entry: 0.08201
Last: 0.08058000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.8885
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.84
Prediction 3 Probability
0 0.63
ML Trade Score: 110
ML Pullback Score: 6.51

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.28
  4. atr: 0.000637654849
Details
  1. score: 1.28
  2. 1H
  3. ema9 - 0.0813207
  4. ema21 - 0.0822884
  5. ema50 - 0.08475
  6. ema100 - 0.0864516
  7. price_ema9_diff - 0.00847528
  8. ema9_ema21_diff - -0.0117596
  9. ema21_ema50_diff - -0.0290452
  10. price_ema100_diff - -0.0513775
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.473061
  14. adx - 0.154933
  15. kc_percentage - 0.480301
  16. kc_width_percentage - 0.109886
  17. volume_ema_diff - -0.338078
  18. volume_ema1 - 377027.90603176
  19. volume_ema2 - 569596.09459765
  20. ¸
  21. 15m
  22. ema9 - 0.0803363
  23. ema21 - 0.0804658
  24. ema50 - 0.081131
  25. ema100 - 0.0815076
  26. price_ema9_diff - 0.020833
  27. ema9_ema21_diff - -0.00160946
  28. ema21_ema50_diff - -0.00819958
  29. price_ema100_diff - 0.00616296
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.579839
  33. adx - 0.204404
  34. kc_percentage - 0.845036
  35. kc_width_percentage - 0.0555697
  36. volume_ema_diff - 0.315534
  37. volume_ema1 - 153114.37770316
  38. volume_ema2 - 116389.49440036
  39. ¸
  40. 5m
  41. ema9 - 0.0805156
  42. ema21 - 0.0799206
  43. ema50 - 0.0801279
  44. ema100 - 0.0807303
  45. price_ema9_diff - 0.0185596
  46. ema9_ema21_diff - 0.00744534
  47. ema21_ema50_diff - -0.00258776
  48. price_ema100_diff - 0.015851
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.719962
  52. adx - 0.32814
  53. kc_percentage - 1.27981
  54. kc_width_percentage - 0.032473
  55. volume_ema_diff - 0.810622
  56. volume_ema1 - 86004.196570286
  57. volume_ema2 - 47499.784440811
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 115253
  62. 5m_price_ema100_diff: -0.000895517
  63. 5m_price: 115150
  64. 5m_correlation_with_coin: 0.311582
  65. btc_indicators
  66. 15m_ema100: 115505
  67. 15m_price_ema100_diff: -0.00307851
  68. 15m_price: 115150
  69. btc_indicators
  70. 1H_ema100: 116867
  71. 1H_price_ema100_diff: -0.0146931
  72. 1H_price: 115150
  73. ¸

Short Trade on IN

The 19 Aug 2025 at 05:03:15

With 8363.9815 IN at 0.08201$ per unit.

Position size of 685.9301 $

Take profit at 0.08058 (1.74 %) and Stop Loss at 0.08297 (1.17 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -54.5 %

Symbol Start at Seach Score Trade Score Trades Count
TRUMP 2025-07-04 05:01:05 0.8564 -100 1
MANA 2025-08-19 05:03:24 0.8547 -100 2
MOVE 2025-06-21 20:18:47 0.8499 -100 1
W 2025-08-11 10:24:20 0.8472 -35 2
ICP 2025-08-19 05:08:25 0.8482 -100 1
ZIL 2025-08-11 10:37:26 0.8442 30 1
FIS 2025-07-12 01:52:06 0.8441 -100 1
HFT 2025-07-04 20:42:24 0.8434 30 1
FET 2025-07-01 03:41:33 0.8429 30 1
ALGO 2025-08-19 05:09:40 0.8428 -100 1

📌 Time Data

Start at Closed at Duration
19 Aug 2025
05:03:15
19 Aug 2025
07:05:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.08201 0.08297 0.08058 1.49 0.07081
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 0.08201
  • Stop Loss: 0.08297
  • Take Profit: 0.08058

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08297 - 0.08201 = 0.00096

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08201 - 0.08058 = 0.00143

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00143 / 0.00096 = 1.4896

📌 Position Size

Amount Margin Quantity Leverage
685.9301 100 8363.9815 6.86
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 0.00096

Taille de position = 8 / 0.00096 = 8333.33

Taille de position USD = 8333.33 x 0.08201 = 683.42

Donc, tu peux acheter 8333.33 avec un stoploss a 0.08297

Avec un position size USD de 683.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8333.33 x 0.00096 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8333.33 x 0.00143 = 11.92

Si Take Profit atteint, tu gagneras 11.92$

Résumé

  • Taille de position 8333.33
  • Taille de position USD 683.42
  • Perte potentielle 8
  • Gain potentiel 11.92
  • Risk-Reward Ratio 1.4896

📌 Peformances

TP % Target TP $ Target
1.74 % 11.96 $
SL % Target SL $ Target
1.17 % 8.03 $
PNL PNL %
11.96 $ 1.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0974 % 93.75 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.08009
            [stop_loss] => 0.08297
            [rr_ratio] => 2
            [closed_at] => 2025-08-19 07:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.07961
            [stop_loss] => 0.08297
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-19 07:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.07913
            [stop_loss] => 0.08297
            [rr_ratio] => 3
            [closed_at] => 2025-08-19 10:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.07865
            [stop_loss] => 0.08297
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-19 10:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.07817
            [stop_loss] => 0.08297
            [rr_ratio] => 4
            [closed_at] => 2025-08-19 10:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.07769
            [stop_loss] => 0.08297
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-19 10:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.07721
            [stop_loss] => 0.08297
            [rr_ratio] => 5
            [closed_at] => 2025-08-19 10:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.07673
            [stop_loss] => 0.08297
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-19 10:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0012
            [max_drawdown] => 0.0009
            [rr_ratio] => 1.33
            [high] => 0.08291000
            [low] => 0.08081000
            [mfe_pct] => 1.46
            [mae_pct] => 1.1
            [mfe_mae_ratio] => 1.33
            [candles_analyzed] => 24
            [start_at] => 2025-08-19T05:03:15-04:00
            [end_at] => 2025-08-19T07:03:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00651
            [max_drawdown] => 0.0009
            [rr_ratio] => 7.23
            [high] => 0.08291000
            [low] => 0.07550000
            [mfe_pct] => 7.94
            [mae_pct] => 1.1
            [mfe_mae_ratio] => 7.23
            [candles_analyzed] => 84
            [start_at] => 2025-08-19T05:03:15-04:00
            [end_at] => 2025-08-19T12:03:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08274000
            [high_after] => 0.08291000
            [low_before] => 0.07749000
            [low_after] => 0.07642000
            [is_new_high] => 
            [is_new_low] => 1
        )

)