Trade

sell - INIT

Status
win
2025-05-16 22:50:45
29 minutes
PNL
2.17
Entry: 1.1052
Last: 1.08100000

Results

Status:
win
Trade Type:
sell
Prediction Score: -7.738
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.54
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: 0.12
  4. atr: 0.01082188753
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 1.08899
  4. ema21 - 1.11418
  5. ema50 - 1.13992
  6. ema100 - 1.16754
  7. price_ema9_diff - 0.0148767
  8. ema9_ema21_diff - -0.022603
  9. ema21_ema50_diff - -0.0225829
  10. price_ema100_diff - -0.0533973
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.473134
  14. kc_percentage - 0.454168
  15. kc_width_percentage - 0.150909
  16. ¸
  17. 15m
  18. ema9 - 1.0728
  19. ema21 - 1.07373
  20. ema50 - 1.09935
  21. ema100 - 1.12168
  22. price_ema9_diff - 0.0301966
  23. ema9_ema21_diff - -0.000869288
  24. ema21_ema50_diff - -0.0233027
  25. price_ema100_diff - -0.0146936
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.59857
  29. kc_percentage - 0.925313
  30. kc_width_percentage - 0.0685777
  31. ¸
  32. 5m
  33. ema9 - 1.09059
  34. ema21 - 1.07542
  35. ema50 - 1.06998
  36. ema100 - 1.08121
  37. price_ema9_diff - 0.0133883
  38. ema9_ema21_diff - 0.0141058
  39. ema21_ema50_diff - 0.00508561
  40. price_ema100_diff - 0.0221874
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.675114
  44. kc_percentage - 1.12288
  45. kc_width_percentage - 0.0421236
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 103363
  50. 5m_price_ema100_diff: -0.00160294
  51. 5m_price: 103197
  52. 5m_correlation_with_coin: 0.389765
  53. btc_indicators
  54. 15m_ema100: 103585
  55. 15m_price_ema100_diff: -0.00374492
  56. 15m_price: 103197
  57. btc_indicators
  58. 1H_ema100: 103311
  59. 1H_price_ema100_diff: -0.00110011
  60. 1H_price: 103197
  61. ¸

Short Trade on INIT

The 16 May 2025 at 22:50:45

With 492.8284 INIT at 1.1052$ per unit.

Position size of 544.6739 $

Take profit at 1.0809 (2.2 %) and Stop Loss at 1.1214 (1.47 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -49.17 %

Symbol Start at Seach Score Trade Score Trades Count
PROM 2025-08-07 16:52:21 0.9598 -10 3
ARK 2025-04-18 02:31:34 0.9611 -100 1
BTC 2025-05-15 07:29:25 0.9582 -100 2
BCH 2025-06-13 02:02:24 0.957 -35 2
SEI 2025-07-07 15:22:24 0.9572 50 1
ELDE 2025-05-30 12:12:08 0.9553 -100 1

📌 Time Data

Start at Closed at Duration
16 May 2025
22:50:45
16 May 2025
23:20:00
29 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1052 1.1214 1.0809 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 1.1052
  • Stop Loss: 1.1214
  • Take Profit: 1.0809

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1214 - 1.1052 = 0.0162

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1052 - 1.0809 = 0.0243

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0243 / 0.0162 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
544.6739 100 492.8284 5.45
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 1.1052 = 545.78

Donc, tu peux acheter 493.83 avec un stoploss a 1.1214

Avec un position size USD de 545.78$

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 545.78
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.2 % 11.98 $
SL % Target SL $ Target
1.47 % 7.98 $
PNL PNL %
11.83 $ 2.17
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.35294117647059 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.073
            [stop_loss] => 1.121
            [rr_ratio] => 2
            [closed_at] => 2025-05-17 00:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.065
            [stop_loss] => 1.121
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-17 01:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.057
            [stop_loss] => 1.121
            [rr_ratio] => 3
            [closed_at] => 2025-05-17 01:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.049
            [stop_loss] => 1.121
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-17 01:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.041
            [stop_loss] => 1.121
            [rr_ratio] => 4
            [closed_at] => 2025-05-17 01:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.033
            [stop_loss] => 1.121
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-17 03:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.025
            [stop_loss] => 1.121
            [rr_ratio] => 5
            [closed_at] => 2025-05-17 03:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.017
            [stop_loss] => 1.121
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-17 03:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.009
            [stop_loss] => 1.121
            [rr_ratio] => 6
            [closed_at] => 2025-05-17 04:35:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.001
            [stop_loss] => 1.121
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-17 04:35:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.993
            [stop_loss] => 1.121
            [rr_ratio] => 7
            [closed_at] => 2025-05-17 04:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0342
            [max_drawdown] => 0.0037
            [rr_ratio] => 9.24
            [high] => 1.10890000
            [low] => 1.07100000
            [mfe_pct] => 3.09
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 9.24
            [candles_analyzed] => 24
            [start_at] => 2025-05-16T22:50:45-04:00
            [end_at] => 2025-05-17T00:50:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1141
            [max_drawdown] => 0.0037
            [rr_ratio] => 30.84
            [high] => 1.10890000
            [low] => 0.99110000
            [mfe_pct] => 10.32
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 30.84
            [candles_analyzed] => 72
            [start_at] => 2025-05-16T22:50:45-04:00
            [end_at] => 2025-05-17T04:50:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.11740000
            [high_after] => 1.10890000
            [low_before] => 1.02800000
            [low_after] => 0.99110000
            [is_new_high] => 
            [is_new_low] => 1
        )

)