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Trade

sell - ALCH

Status
win
2025-06-12 17:13:08
1 hour
PNL
1.08
Entry: 0.13
Last: 0.12860000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.3925
Prediction 1 Accuracy
Strong Trade
0.69
Prediction 2 Accuracy
1 0.4
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.0006017081374
Details
  1. score: 1.14
  2. 1H
  3. ema9 - 0.129886
  4. ema21 - 0.131095
  5. ema50 - 0.13232
  6. ema100 - 0.133093
  7. price_ema9_diff - 0.000716847
  8. ema9_ema21_diff - -0.00921779
  9. ema21_ema50_diff - -0.00925599
  10. price_ema100_diff - -0.0233961
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.429947
  14. kc_percentage - 0.352877
  15. kc_width_percentage - 0.0545595
  16. volume_ema_diff - 0.13936
    17. ¸
  17. 15m
  18. ema9 - 0.128597
  19. ema21 - 0.129353
  20. ema50 - 0.130657
  21. ema100 - 0.1318
  22. price_ema9_diff - 0.0107484
  23. ema9_ema21_diff - -0.00584421
  24. ema21_ema50_diff - -0.00997775
  25. price_ema100_diff - -0.0138147
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.517644
  29. kc_percentage - 0.66556
  30. kc_width_percentage - 0.032063
  31. volume_ema_diff - 0.143909
    32. ¸
  32. 5m
  33. ema9 - 0.128435
  34. ema21 - 0.128332
  35. ema50 - 0.128983
  36. ema100 - 0.129912
  37. price_ema9_diff - 0.0120219
  38. ema9_ema21_diff - 0.000805321
  39. ema21_ema50_diff - -0.00505016
  40. price_ema100_diff - 0.000522833
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.656286
  44. kc_percentage - 1.13782
  45. kc_width_percentage - 0.0200122
  46. volume_ema_diff - 0.646768
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 107154
  50. 5m_price_ema100_diff: -0.00918539
  51. 5m_price: 106170
  52. 5m_correlation_with_coin: 0.490967
  53. btc_indicators
  54. 15m_ema100: 107660
  55. 15m_price_ema100_diff: -0.0138346
  56. 15m_price: 106170
  57. btc_indicators
  58. 1H_ema100: 107978
  59. 1H_price_ema100_diff: -0.0167386
  60. 1H_price: 106170
    61. ¸

Short Trade on ALCH

The 12 Jun 2025 at 17:13:08

With 8864 ALCH at 0.13$ per unit.

Position size of 1152 $

Take profit at 0.1286 (1.1 %) and Stop Loss at 0.1309 (0.69 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -22.96 %

Symbol Start at Seach Score Trade Score Trades Count
POL 2025-06-12 23:31:33 0.9382 -100 4
PENDLE 2025-06-12 23:44:10 0.9351 -56.67 3
ARB 2025-06-12 23:34:10 0.9341 30 1
HBAR 2025-06-12 23:42:02 0.9326 30 1
SSV 2025-06-12 23:23:32 0.9322 -100 1
GRASS 2025-06-12 23:37:25 0.9265 -100 1
ZRO 2025-06-12 23:36:36 0.9255 30 1
TON 2025-06-12 23:54:24 0.9254 30 1
PI 2025-07-01 02:26:45 0.925 30 1

📌 Time Data

Start at Closed at Duration
12 Jun 2025
17:13:08		 12 Jun 2025
18:30:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.13 0.1309 0.1286 1.6 0.1455
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 0.13
  • Stop Loss: 0.1309
  • Take Profit: 0.1286

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1309 - 0.13 = 0.00089999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.13 - 0.1286 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.00089999999999998 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
1152 100 8864 11.52
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 0.00089999999999998

Taille de position = 8 / 0.00089999999999998 = 8888.89

Taille de position USD = 8888.89 x 0.13 = 1155.56

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1309

Avec un position size USD de 1155.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00089999999999998 = 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 0.0014 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1155.56
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
1.1 % 12 $
SL % Target SL $ Target
0.69 % 8 $
PNL PNL %
12 $ 1.08
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1154 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1282
            [stop_loss] => 0.1309
            [rr_ratio] => 2
            [closed_at] => 2025-06-12 20:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.12775
            [stop_loss] => 0.1309
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-12 20:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1273
            [stop_loss] => 0.1309
            [rr_ratio] => 3
            [closed_at] => 2025-06-12 20:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.12685
            [stop_loss] => 0.1309
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-12 21:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1264
            [stop_loss] => 0.1309
            [rr_ratio] => 4
            [closed_at] => 2025-06-12 21:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.12595
            [stop_loss] => 0.1309
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-12 21:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1255
            [stop_loss] => 0.1309
            [rr_ratio] => 5
            [closed_at] => 2025-06-12 21:25:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.12505
            [stop_loss] => 0.1309
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-12 21:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1246
            [stop_loss] => 0.1309
            [rr_ratio] => 6
            [closed_at] => 2025-06-12 21:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.12415
            [stop_loss] => 0.1309
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-12 21:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1237
            [stop_loss] => 0.1309
            [rr_ratio] => 7
            [closed_at] => 2025-06-12 21:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)