Trade

sell - ALGO

Status
win
2025-08-29 08:33:09
6 minutes
PNL
0.96
Entry: 0.2408
Last: 0.23850000

Results

Status:
win
Trade Type:
sell
Prediction Score: 3.625
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
1 0.61
Prediction 3 Probability
1 0.51
ML Trade Score: 100
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.001041228085
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.241341
  4. ema21 - 0.24527
  5. ema50 - 0.248774
  6. ema100 - 0.251105
  7. price_ema9_diff - -0.00224554
  8. ema9_ema21_diff - -0.0160173
  9. ema21_ema50_diff - -0.014084
  10. price_ema100_diff - -0.0410413
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.390843
  14. adx - 0.263554
  15. kc_percentage - 0.195598
  16. kc_width_percentage - 0.0579044
  17. volume_ema_diff - 0.658395
  18. volume_ema1 - 920065.75049832
  19. volume_ema2 - 554792.7421465
  20. ¸
  21. 15m
  22. ema9 - 0.238334
  23. ema21 - 0.239331
  24. ema50 - 0.243003
  25. ema100 - 0.246532
  26. price_ema9_diff - 0.0103438
  27. ema9_ema21_diff - -0.00416574
  28. ema21_ema50_diff - -0.0151119
  29. price_ema100_diff - -0.023253
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.525947
  33. adx - 0.472273
  34. kc_percentage - 0.728812
  35. kc_width_percentage - 0.0290631
  36. volume_ema_diff - 0.715868
  37. volume_ema1 - 350394.39289916
  38. volume_ema2 - 204208.22425912
  39. ¸
  40. 5m
  41. ema9 - 0.238192
  42. ema21 - 0.237854
  43. ema50 - 0.238599
  44. ema100 - 0.240933
  45. price_ema9_diff - 0.0109475
  46. ema9_ema21_diff - 0.00141846
  47. ema21_ema50_diff - -0.00311927
  48. price_ema100_diff - -0.000555351
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.691851
  52. adx - 0.242274
  53. kc_percentage - 1.12267
  54. kc_width_percentage - 0.0196099
  55. volume_ema_diff - 1.87221
  56. volume_ema1 - 269623.92326347
  57. volume_ema2 - 93873.078868467
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 110368
  62. 5m_price_ema100_diff: 0.00436807
  63. 5m_price: 110850
  64. 5m_correlation_with_coin: 0.740085
  65. btc_indicators
  66. 15m_ema100: 111342
  67. 15m_price_ema100_diff: -0.00442168
  68. 15m_price: 110850
  69. btc_indicators
  70. 1H_ema100: 111507
  71. 1H_price_ema100_diff: -0.00589056
  72. 1H_price: 110850
  73. ¸

Short Trade on ALGO

The 29 Aug 2025 at 08:33:09

With 5122.1566 ALGO at 0.2408$ per unit.

Position size of 1233.4153 $

Take profit at 0.2385 (0.96 %) and Stop Loss at 0.2424 (0.66 %)

That's a 1.44 RR Trade

📌 Similar Trades

Similar Trade Score: 11.43 %

Symbol Start at Seach Score Trade Score Trades Count
CRV 2025-08-29 08:32:34 0.9876 30 1
ENS 2025-08-29 08:33:36 0.9871 30 1
ETC 2025-08-29 08:30:17 0.987 -100 1
AERO 2025-08-29 08:38:04 0.9864 30 1
HBAR 2025-08-29 08:34:46 0.9861 30 1
ACH 2025-08-29 08:34:26 0.9842 30 1
TURBO 2025-08-29 08:35:27 0.9812 30 1
USELESS 2025-08-29 08:47:07 0.9806 30 1
SUI 2025-08-29 08:54:43 0.9793 30 1
TON 2025-08-29 08:13:54 0.9792 -100 1
XLM 2025-08-29 08:31:24 0.9783 30 1
GRIFFAIN 2025-08-29 08:38:53 0.9776 30 1
STX 2025-08-29 08:34:39 0.9775 30 1
IOTA 2025-08-29 08:33:16 0.9767 30 1

📌 Time Data

Start at Closed at Duration
29 Aug 2025
08:33:09
29 Aug 2025
08:40:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2408 0.2424 0.2385 1.44 0.235
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 0.2408
  • Stop Loss: 0.2424
  • Take Profit: 0.2385

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2424 - 0.2408 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2408 - 0.2385 = 0.0023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0023 / 0.0016 = 1.4375

📌 Position Size

Amount Margin Quantity Leverage
1233.4153 100 5122.1566 12.33
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.2408 = 1204

Donc, tu peux acheter 5000 avec un stoploss a 0.2424

Avec un position size USD de 1204$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0023 = 11.5

Si Take Profit atteint, tu gagneras 11.5$

Résumé

  • Taille de position 5000
  • Taille de position USD 1204
  • Perte potentielle 8
  • Gain potentiel 11.5
  • Risk-Reward Ratio 1.4375

📌 Peformances

TP % Target TP $ Target
0.96 % 11.78 $
SL % Target SL $ Target
0.66 % 8.2 $
PNL PNL %
11.78 $ 0.96
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2376
            [stop_loss] => 0.2424
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 09:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2368
            [stop_loss] => 0.2424
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 09:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.236
            [stop_loss] => 0.2424
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 09:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2352
            [stop_loss] => 0.2424
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 09:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2344
            [stop_loss] => 0.2424
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2336
            [stop_loss] => 0.2424
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2328
            [stop_loss] => 0.2424
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0083
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.24060000
            [low] => 0.23250000
            [mfe_pct] => 3.45
            [mae_pct] => -0.08
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T08:33:09-04:00
            [end_at] => 2025-08-29T10:33:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0087
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.24060000
            [low] => 0.23210000
            [mfe_pct] => 3.61
            [mae_pct] => -0.08
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T08:33:09-04:00
            [end_at] => 2025-08-29T15:33:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.24380000
            [high_after] => 0.24060000
            [low_before] => 0.23450000
            [low_after] => 0.23250000
            [is_new_high] => 
            [is_new_low] => 1
        )

)