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Trade

sell - ARB

Status
win
2025-06-20 23:35:28
4 minutes
PNL
0.45
Entry: 0.2914
Last: 0.29010000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.053
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
0 0.36
Prediction 3 Probability
n/a
ML Trade Score: 100
ML Pullback Score: 6

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0005845270476
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 0.290587
  4. ema21 - 0.294036
  5. ema50 - 0.298614
  6. ema100 - 0.303648
  7. price_ema9_diff - 0.00279778
  8. ema9_ema21_diff - -0.0117324
  9. ema21_ema50_diff - -0.0153308
  10. price_ema100_diff - -0.0403385
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.425401
  14. kc_percentage - 0.348305
  15. kc_width_percentage - 0.0541862
  16. volume_ema_diff - -0.618382
  17. volume_ema1 - 294381.77107267
  18. volume_ema2 - 771405.22879934
    19. ¸
  19. 15m
  20. ema9 - 0.290016
  21. ema21 - 0.289611
  22. ema50 - 0.291695
  23. ema100 - 0.294833
  24. price_ema9_diff - 0.00477173
  25. ema9_ema21_diff - 0.00139858
  26. ema21_ema50_diff - -0.00714654
  27. price_ema100_diff - -0.011644
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.567277
  31. kc_percentage - 0.828399
  32. kc_width_percentage - 0.0188641
  33. volume_ema_diff - -0.87597
  34. volume_ema1 - 20996.675960206
  35. volume_ema2 - 169287.48596623
    36. ¸
  36. 5m
  37. ema9 - 0.290456
  38. ema21 - 0.290056
  39. ema50 - 0.289388
  40. ema100 - 0.289185
  41. price_ema9_diff - 0.00325
  42. ema9_ema21_diff - 0.00137753
  43. ema21_ema50_diff - 0.00230709
  44. price_ema100_diff - 0.00765702
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.620326
  48. kc_percentage - 1.09141
  49. kc_width_percentage - 0.00762199
  50. volume_ema_diff - -0.820236
  51. volume_ema1 - 3697.6892783876
  52. volume_ema2 - 20569.778563157
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 103312
  56. 5m_price_ema100_diff: 0.00288933
  57. 5m_price: 103610
  58. 5m_correlation_with_coin: -0.307201
  59. btc_indicators
  60. 15m_ema100: 104005
  61. 15m_price_ema100_diff: -0.00379837
  62. 15m_price: 103610
  63. btc_indicators
  64. 1H_ema100: 104854
  65. 1H_price_ema100_diff: -0.0118584
  66. 1H_price: 103610
    67. ¸

Short Trade on ARB

The 20 Jun 2025 at 23:35:28

With 9124.1857 ARB at 0.2914$ per unit.

Position size of 2658.7877 $

Take profit at 0.2901 (0.45 %) and Stop Loss at 0.2923 (0.31 %)

That's a 1.44 RR Trade

📌 Similar Trades

Similar Trade Score: 42.08 %

Symbol Start at Seach Score Trade Score Trades Count
ZK 2025-06-20 23:38:11 0.9892 40 1
S 2025-06-20 23:40:48 0.9858 30 1
OM 2025-06-20 23:40:51 0.9795 45 2
OP 2025-06-20 23:34:29 0.9816 110 1
STX 2025-06-20 23:35:09 0.9816 80 1
XLM 2025-06-20 23:33:25 0.9805 40 1
1000000MOG 2025-06-20 23:39:12 0.9802 90 1
JUP 2025-06-20 23:32:20 0.9738 -30 2
LINK 2025-06-20 23:32:34 0.974 60 1
1000BONK 2025-06-20 23:36:41 0.9705 110 1
ORDI 2025-06-20 23:26:46 0.9688 -100 1
FARTCOIN 2025-07-29 03:04:55 0.9687 30 1

📌 Time Data

Start at Closed at Duration
20 Jun 2025
23:35:28		 20 Jun 2025
23:40:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2914 0.2923 0.2901 1.44 0.6079
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 0.2914
  • Stop Loss: 0.2923
  • Take Profit: 0.2901

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2923 - 0.2914 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2914 - 0.2901 = 0.0013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0013 / 0.00090000000000001 = 1.4444

📌 Position Size

Amount Margin Quantity Leverage
2658.7877 100 9124.1857 26.59
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 0.00090000000000001

Taille de position = 8 / 0.00090000000000001 = 8888.89

Taille de position USD = 8888.89 x 0.2914 = 2590.22

Donc, tu peux acheter 8888.89 avec un stoploss a 0.2923

Avec un position size USD de 2590.22$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0013 = 11.56

Si Take Profit atteint, tu gagneras 11.56$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 2590.22
  • Perte potentielle 8
  • Gain potentiel 11.56
  • Risk-Reward Ratio 1.4444

📌 Peformances

TP % Target TP $ Target
0.45 % 11.86 $
SL % Target SL $ Target
0.31 % 8.21 $
PNL PNL %
11.86 $ 0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2896
            [stop_loss] => 0.2923
            [rr_ratio] => 2
            [closed_at] => 2025-06-20 23:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.28915
            [stop_loss] => 0.2923
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-21 00:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2887
            [stop_loss] => 0.2923
            [rr_ratio] => 3
            [closed_at] => 2025-06-21 00:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.28825
            [stop_loss] => 0.2923
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-21 00:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2878
            [stop_loss] => 0.2923
            [rr_ratio] => 4
            [closed_at] => 2025-06-21 02:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.28735
            [stop_loss] => 0.2923
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-21 03:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2869
            [stop_loss] => 0.2923
            [rr_ratio] => 5
            [closed_at] => 2025-06-21 03:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0036
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.29040000
            [low] => 0.28780000
            [mfe_pct] => 1.24
            [mae_pct] => -0.34
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-06-20T23:35:28-04:00
            [end_at] => 2025-06-21T01:35:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0046
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.29050000
            [low] => 0.28680000
            [mfe_pct] => 1.58
            [mae_pct] => -0.31
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-06-20T23:35:28-04:00
            [end_at] => 2025-06-21T05:35:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29200000
            [high_after] => 0.29050000
            [low_before] => 0.28600000
            [low_after] => 0.28680000
            [is_new_high] => 
            [is_new_low] => 
        )

)