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Trade

sell - INIT

Status
win
2025-05-16 22:57:45
1 hour
PNL
2.27
Entry: 1.1028
Last: 1.07800000

Results

Status:
win
Trade Type:
sell
Prediction Score: -8.008
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.42
Prediction 3 Probability
n/a
ML Trade Score: 140
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.01093577305
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 1.09031
  4. ema21 - 1.11566
  5. ema50 - 1.1409
  6. ema100 - 1.16897
  7. price_ema9_diff - 0.0114467
  8. ema9_ema21_diff - -0.0227208
  9. ema21_ema50_diff - -0.0221192
  10. price_ema100_diff - -0.0566127
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.464108
  14. kc_percentage - 0.429275
  15. kc_width_percentage - 0.148166
    16. ¸
  16. 15m
  17. ema9 - 1.07504
  18. ema21 - 1.07488
  19. ema50 - 1.09977
  20. ema100 - 1.12265
  21. price_ema9_diff - 0.0258169
  22. ema9_ema21_diff - 0.000153928
  23. ema21_ema50_diff - -0.02264
  24. price_ema100_diff - -0.0176852
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.597516
  28. kc_percentage - 0.913945
  29. kc_width_percentage - 0.0627082
    30. ¸
  30. 5m
  31. ema9 - 1.09292
  32. ema21 - 1.07785
  33. ema50 - 1.07116
  34. ema100 - 1.08101
  35. price_ema9_diff - 0.00903361
  36. ema9_ema21_diff - 0.0139795
  37. ema21_ema50_diff - 0.00624892
  38. price_ema100_diff - 0.0201517
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.658805
  42. kc_percentage - 1.01564
  43. kc_width_percentage - 0.0424261
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103338
  47. 5m_price_ema100_diff: -0.00103774
  48. 5m_price: 103231
  49. 5m_correlation_with_coin: 0.386774
  50. btc_indicators
  51. 15m_ema100: 103586
  52. 15m_price_ema100_diff: -0.00342789
  53. 15m_price: 103231
  54. btc_indicators
  55. 1H_ema100: 103312
  56. 1H_price_ema100_diff: -0.000782265
  57. 1H_price: 103231
    58. ¸

Short Trade on INIT

The 16 May 2025 at 22:57:45

With 487.6961 INIT at 1.1028$ per unit.

Position size of 537.8312 $

Take profit at 1.0782 (2.23 %) and Stop Loss at 1.1192 (1.49 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -38.13 %

Symbol Start at Seach Score Trade Score Trades Count
PROM 2025-08-07 16:57:01 0.9594 35 2
ARK 2025-04-18 02:31:34 0.9608 -100 1
BCH 2025-06-13 02:10:16 0.9584 30 1
BTC 2025-05-15 07:31:33 0.9572 -100 1
SEI 2025-07-07 15:22:24 0.9571 50 1
NEIROCTO 2025-08-11 12:09:58 0.9563 -20 2
LQTY 2025-06-30 07:39:52 0.9556 -100 1
ELDE 2025-05-30 12:12:08 0.9551 -100 1

📌 Time Data

Start at Closed at Duration
16 May 2025
22:57:45		 17 May 2025
00:15:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1028 1.1192 1.0782 1.5 0.392
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 1.1028
  • Stop Loss: 1.1192
  • Take Profit: 1.0782

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1192 - 1.1028 = 0.0164

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1028 - 1.0782 = 0.0246

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0246 / 0.0164 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
537.8312 100 487.6961 5.38
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 0.0164

Taille de position = 8 / 0.0164 = 487.8

Taille de position USD = 487.8 x 1.1028 = 537.95

Donc, tu peux acheter 487.8 avec un stoploss a 1.1192

Avec un position size USD de 537.95$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 487.8 x 0.0164 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 487.8 x 0.0246 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 487.8
  • Taille de position USD 537.95
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.23 % 12 $
SL % Target SL $ Target
1.49 % 8 $
PNL PNL %
12.19 $ 2.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.53490480507706 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.071
            [stop_loss] => 1.119
            [rr_ratio] => 2
            [closed_at] => 2025-05-17 00:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.063
            [stop_loss] => 1.119
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-17 01:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.055
            [stop_loss] => 1.119
            [rr_ratio] => 3
            [closed_at] => 2025-05-17 01:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.047
            [stop_loss] => 1.119
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-17 01:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.039
            [stop_loss] => 1.119
            [rr_ratio] => 4
            [closed_at] => 2025-05-17 01:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.031
            [stop_loss] => 1.119
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-17 03:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.023
            [stop_loss] => 1.119
            [rr_ratio] => 5
            [closed_at] => 2025-05-17 03:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.015
            [stop_loss] => 1.119
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-17 03:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.007
            [stop_loss] => 1.119
            [rr_ratio] => 6
            [closed_at] => 2025-05-17 04:35:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.999
            [stop_loss] => 1.119
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-17 04:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.991
            [stop_loss] => 1.119
            [rr_ratio] => 7
            [closed_at] => 2025-05-17 04:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0318
            [max_drawdown] => 0.0061
            [rr_ratio] => 5.21
            [high] => 1.10890000
            [low] => 1.07100000
            [mfe_pct] => 2.88
            [mae_pct] => 0.55
            [mfe_mae_ratio] => 5.21
            [candles_analyzed] => 24
            [start_at] => 2025-05-16T22:57:45-04:00
            [end_at] => 2025-05-17T00:57:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1165
            [max_drawdown] => 0.0061
            [rr_ratio] => 19.1
            [high] => 1.10890000
            [low] => 0.98630000
            [mfe_pct] => 10.56
            [mae_pct] => 0.55
            [mfe_mae_ratio] => 19.1
            [candles_analyzed] => 72
            [start_at] => 2025-05-16T22:57:45-04:00
            [end_at] => 2025-05-17T04:57:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.11740000
            [high_after] => 1.10890000
            [low_before] => 1.02800000
            [low_after] => 0.98630000
            [is_new_high] => 
            [is_new_low] => 1
        )

)