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Trade

sell - SAPIEN

Status
win
2025-08-24 22:38:31
1 hour
PNL
2.82
Entry: 0.2373
Last: 0.23060000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.9727
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.75
Prediction 3 Probability
1 0.5
ML Trade Score: 110
ML Pullback Score: 9.58

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.003008846313
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 0.235155
  4. ema21 - 0.242144
  5. ema50 - 0.242845
  6. ema100 - 0.235181
  7. price_ema9_diff - 0.00928877
  8. ema9_ema21_diff - -0.0288605
  9. ema21_ema50_diff - -0.00288693
  10. price_ema100_diff - 0.00917647
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.461089
  14. adx - 0.201293
  15. kc_percentage - 0.405929
  16. kc_width_percentage - 0.198844
  17. volume_ema_diff - -0.369829
  18. volume_ema1 - 2989742.1331371
  19. volume_ema2 - 4744337.3935375
    20. ¸
  20. 15m
  21. ema9 - 0.231452
  22. ema21 - 0.231428
  23. ema50 - 0.237414
  24. ema100 - 0.242254
  25. price_ema9_diff - 0.0254378
  26. ema9_ema21_diff - 0.000103127
  27. ema21_ema50_diff - -0.0252141
  28. price_ema100_diff - -0.0202851
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.576683
  32. adx - 0.247546
  33. kc_percentage - 0.783463
  34. kc_width_percentage - 0.0904626
  35. volume_ema_diff - -0.244405
  36. volume_ema1 - 625550.33569157
  37. volume_ema2 - 827891.14533076
    38. ¸
  38. 5m
  39. ema9 - 0.234389
  40. ema21 - 0.23092
  41. ema50 - 0.229998
  42. ema100 - 0.233991
  43. price_ema9_diff - 0.0125865
  44. ema9_ema21_diff - 0.0150249
  45. ema21_ema50_diff - 0.00400658
  46. price_ema100_diff - 0.0143101
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.708533
  50. adx - 0.426159
  51. kc_percentage - 1.02179
  52. kc_width_percentage - 0.0503233
  53. volume_ema_diff - -0.360012
  54. volume_ema1 - 177510.14184851
  55. volume_ema2 - 277365.08010439
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 113340
  59. 5m_price_ema100_diff: 0.000360954
  60. 5m_price: 113381
  61. 5m_correlation_with_coin: 0.218834
  62. btc_indicators
  63. 15m_ema100: 114048
  64. 15m_price_ema100_diff: -0.00615138
  65. 15m_price: 113346
  66. btc_indicators
  67. 1H_ema100: 114407
  68. 1H_price_ema100_diff: -0.00897438
  69. 1H_price: 113381
    70. ¸

Short Trade on SAPIEN

The 24 Aug 2025 at 22:38:31

With 1772.5509 SAPIEN at 0.2373$ per unit.

Position size of 420.6972 $

Take profit at 0.2306 (2.82 %) and Stop Loss at 0.2419 (1.94 %)

That's a 1.46 RR Trade

📌 Similar Trades

Similar Trade Score: 7 %

Symbol Start at Seach Score Trade Score Trades Count
VIRTUAL 2025-05-30 14:53:57 0.9555 30 2
FET 2025-06-21 20:40:44 0.9545 30 2
HYPE 2025-06-14 18:01:24 0.9532 -100 2
NEIROETH 2025-06-21 20:28:59 0.9549 40 1
TAO 2025-06-21 20:44:08 0.9538 30 2
INJ 2025-06-21 20:46:02 0.9485 40 1
MLN 2025-08-14 14:58:08 0.9479 30 1
RESOLV 2025-06-26 15:59:26 0.9478 -100 1
1000BONK 2025-05-17 00:39:51 0.9477 40 1
VVV 2025-08-21 06:21:44 0.9463 30 1

📌 Time Data

Start at Closed at Duration
24 Aug 2025
22:38:31		 25 Aug 2025
00:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2373 0.2419 0.2306 1.46 0.1924
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 0.2373
  • Stop Loss: 0.2419
  • Take Profit: 0.2306

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2419 - 0.2373 = 0.0046

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2373 - 0.2306 = 0.0067

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0067 / 0.0046 = 1.4565

📌 Position Size

Amount Margin Quantity Leverage
420.6972 100 1772.5509 4.21
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 0.0046

Taille de position = 8 / 0.0046 = 1739.13

Taille de position USD = 1739.13 x 0.2373 = 412.7

Donc, tu peux acheter 1739.13 avec un stoploss a 0.2419

Avec un position size USD de 412.7$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1739.13 x 0.0046 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1739.13 x 0.0067 = 11.65

Si Take Profit atteint, tu gagneras 11.65$

Résumé

  • Taille de position 1739.13
  • Taille de position USD 412.7
  • Perte potentielle 8
  • Gain potentiel 11.65
  • Risk-Reward Ratio 1.4565

📌 Peformances

TP % Target TP $ Target
2.82 % 11.88 $
SL % Target SL $ Target
1.94 % 8.15 $
PNL PNL %
11.88 $ 2.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0619 % 54.78 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2281
            [stop_loss] => 0.2419
            [rr_ratio] => 2
            [closed_at] => 2025-08-25 00:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2258
            [stop_loss] => 0.2419
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-25 01:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2235
            [stop_loss] => 0.2419
            [rr_ratio] => 3
            [closed_at] => 2025-08-25 01:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2212
            [stop_loss] => 0.2419
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-25 02:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2189
            [stop_loss] => 0.2419
            [rr_ratio] => 4
            [closed_at] => 2025-08-25 02:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2166
            [stop_loss] => 0.2419
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-25 03:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2143
            [stop_loss] => 0.2419
            [rr_ratio] => 5
            [closed_at] => 2025-08-25 04:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.212
            [stop_loss] => 0.2419
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-25 04:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.01128
            [max_drawdown] => 0.00252
            [rr_ratio] => 4.48
            [high] => 0.23982000
            [low] => 0.22602000
            [mfe_pct] => 4.75
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 4.48
            [candles_analyzed] => 24
            [start_at] => 2025-08-24T22:38:31-04:00
            [end_at] => 2025-08-25T00:38:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.02537
            [max_drawdown] => 0.00252
            [rr_ratio] => 10.07
            [high] => 0.23982000
            [low] => 0.21193000
            [mfe_pct] => 10.69
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 10.07
            [candles_analyzed] => 84
            [start_at] => 2025-08-24T22:38:31-04:00
            [end_at] => 2025-08-25T05:38:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.23920000
            [high_after] => 0.23982000
            [low_before] => 0.21753000
            [low_after] => 0.21193000
            [is_new_high] => 
            [is_new_low] => 1
        )

)