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Trade

sell - INIT

Status
win
2025-05-15 19:54:11
5 minutes
PNL
2.14
Entry: 1.1201
Last: 1.09600000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.61
Prediction 3 Probability
n/a
ML Trade Score: 30
ML Pullback Score: 0.68

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.01081639919
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 1.11138
  4. ema21 - 1.12526
  5. ema50 - 1.16163
  6. ema100 - 1.17778
  7. price_ema9_diff - 0.00784011
  8. ema9_ema21_diff - -0.0123361
  9. ema21_ema50_diff - -0.031305
  10. price_ema100_diff - -0.0489805
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.476066
  14. kc_percentage - 0.47748
  15. kc_width_percentage - 0.150578
    16. ¸
  16. 15m
  17. ema9 - 1.0978
  18. ema21 - 1.10151
  19. ema50 - 1.11139
  20. ema100 - 1.11948
  21. price_ema9_diff - 0.0203129
  22. ema9_ema21_diff - -0.00337302
  23. ema21_ema50_diff - -0.0088908
  24. price_ema100_diff - 0.00055224
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.55057
  28. kc_percentage - 0.738281
  29. kc_width_percentage - 0.0711406
    30. ¸
  30. 5m
  31. ema9 - 1.09808
  32. ema21 - 1.09416
  33. ema50 - 1.09792
  34. ema100 - 1.1031
  35. price_ema9_diff - 0.0200509
  36. ema9_ema21_diff - 0.00358321
  37. ema21_ema50_diff - -0.00342607
  38. price_ema100_diff - 0.0154035
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.622557
  42. kc_percentage - 1.06846
  43. kc_width_percentage - 0.0407816
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103291
  47. 5m_price_ema100_diff: 0.00367033
  48. 5m_price: 103670
  49. 5m_correlation_with_coin: 0.488501
  50. btc_indicators
  51. 15m_ema100: 103013
  52. 15m_price_ema100_diff: 0.00637858
  53. 15m_price: 103670
  54. btc_indicators
  55. 1H_ema100: 103333
  56. 1H_price_ema100_diff: 0.00326454
  57. 1H_price: 103670
    58. ¸

Short Trade on INIT

The 15 May 2025 at 19:54:11

With 493.0784 INIT at 1.1201$ per unit.

Position size of 552.2972 $

Take profit at 1.0958 (2.17 %) and Stop Loss at 1.1363 (1.45 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -45 %

Symbol Start at Seach Score Trade Score Trades Count
CHILLGUY 2025-06-25 21:34:10 0.7938 30 1
TAO 2025-05-28 20:49:38 0.7896 -100 1
BNB 2025-05-14 14:22:53 0.7874 40 2
VIRTUAL 2025-05-06 18:09:38 0.786 -100 1
CUDIS 2025-08-20 18:37:47 0.7854 -100 1
LDO 2025-08-17 18:34:16 0.7771 50 1
KMNO 2025-08-22 10:09:38 0.7747 -100 3
IOTX 2025-05-30 07:01:13 0.7729 -100 1
AIN 2025-07-29 11:42:11 0.7719 -100 1
NXPC 2025-05-29 16:33:18 0.7702 30 1

📌 Time Data

Start at Closed at Duration
15 May 2025
19:54:11		 15 May 2025
20:00:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1201 1.1363 1.0958 1.5 0.3539
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 1.1201
  • Stop Loss: 1.1363
  • Take Profit: 1.0958

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1363 - 1.1201 = 0.0162

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1201 - 1.0958 = 0.0243

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0243 / 0.0162 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
552.2972 100 493.0784 5.52
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 0.0162

Taille de position = 8 / 0.0162 = 493.83

Taille de position USD = 493.83 x 1.1201 = 553.14

Donc, tu peux acheter 493.83 avec un stoploss a 1.1363

Avec un position size USD de 553.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 493.83 x 0.0162 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 493.83 x 0.0243 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 493.83
  • Taille de position USD 553.14
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.17 % 11.98 $
SL % Target SL $ Target
1.45 % 7.99 $
PNL PNL %
11.83 $ 2.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.33035714285713 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.088
            [stop_loss] => 1.136
            [rr_ratio] => 2
            [closed_at] => 2025-05-15 20:25:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 1.08
            [stop_loss] => 1.136
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-15 20:25:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.072
            [stop_loss] => 1.136
            [rr_ratio] => 3
            [closed_at] => 2025-05-15 20:25:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.064
            [stop_loss] => 1.136
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-15 20:25:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.056
            [stop_loss] => 1.136
            [rr_ratio] => 4
            [closed_at] => 2025-05-15 20:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.048
            [stop_loss] => 1.136
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-15 20:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.04
            [stop_loss] => 1.136
            [rr_ratio] => 5
            [closed_at] => 2025-05-15 20:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.032
            [stop_loss] => 1.136
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-15 20:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.024
            [stop_loss] => 1.136
            [rr_ratio] => 6
            [closed_at] => 2025-05-15 20:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.016
            [stop_loss] => 1.136
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-15 20:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.008
            [stop_loss] => 1.136
            [rr_ratio] => 7
            [closed_at] => 2025-05-15 20:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0245
            [max_drawdown] => 0.0422
            [rr_ratio] => 0.58
            [high] => 1.16230000
            [low] => 1.09560000
            [mfe_pct] => 2.19
            [mae_pct] => 3.77
            [mfe_mae_ratio] => 0.58
            [candles_analyzed] => 24
            [start_at] => 2025-05-15T19:54:11-04:00
            [end_at] => 2025-05-15T21:54:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0245
            [max_drawdown] => 0.0679
            [rr_ratio] => 0.36
            [high] => 1.18800000
            [low] => 1.09560000
            [mfe_pct] => 2.19
            [mae_pct] => 6.06
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 72
            [start_at] => 2025-05-15T19:54:11-04:00
            [end_at] => 2025-05-16T01:54:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.12290000
            [high_after] => 1.18800000
            [low_before] => 1.04700000
            [low_after] => 1.09560000
            [is_new_high] => 
            [is_new_low] => 
        )

)