Short Trade on ALGO 01 Sep 2025 at 15:08:42

Take profit at 0.2283 (0.65 %) and Stop Loss at 0.2308 (0.44 %)

Short Trade on ALGO

The 01 Sep 2025 at 15:08:42

With 8000.3816 ALGO at 0.2298$ per unit.

Position size of 1838.4877 $

Take profit at 0.2283 (0.65 %) and Stop Loss at 0.2308 (0.44 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.59
Prediction 2 Probability
1 0.48
Prediction 3 Probability
1 0.5
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.738977

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0006666348668
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.229233
  4. ema21 : 0.230505
  5. ema50 : 0.232828
  6. ema100 : 0.236108
  7. price_ema9_diff : 0.00247154
  8. ema9_ema21_diff : -0.00551915
  9. ema21_ema50_diff : -0.00997608
  10. price_ema100_diff : -0.0267206
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.466415
  14. adx : 0.207291
  15. kc_percentage : 0.442428
  16. kc_width_percentage : 0.0458995
  17. volume_ema_diff : -0.305139
  18. volume_ema1 : 318759.67283903
  19. volume_ema2 : 458738.98581968
  20. ¸
  21. 15m
  22. ema9 : 0.228526
  23. ema21 : 0.228655
  24. ema50 : 0.229685
  25. ema100 : 0.230963
  26. price_ema9_diff : 0.00557279
  27. ema9_ema21_diff : -0.000564954
  28. ema21_ema50_diff : -0.00448486
  29. price_ema100_diff : -0.00503795
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.568045
  33. adx : 0.223683
  34. kc_percentage : 0.735684
  35. kc_width_percentage : 0.0218534
  36. volume_ema_diff : -0.372791
  37. volume_ema1 : 77581.924211475
  38. volume_ema2 : 123694.05688616
  39. ¸
  40. 5m
  41. ema9 : 0.229034
  42. ema21 : 0.228419
  43. ema50 : 0.228352
  44. ema100 : 0.229221
  45. price_ema9_diff : 0.00334434
  46. ema9_ema21_diff : 0.00268871
  47. ema21_ema50_diff : 0.000294432
  48. price_ema100_diff : 0.00252215
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.661309
  52. adx : 0.14293
  53. kc_percentage : 1.0284
  54. kc_width_percentage : 0.0111057
  55. volume_ema_diff : -0.248735
  56. volume_ema1 : 25702.35513312
  57. volume_ema2 : 34212.135864701
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108848
  62. 5m_price_ema100_diff:
    0.0037315
  63. 5m_price:
    109255
  64. 5m_correlation_with_coin:
    0.738977
  65. btc_indicators
  66. 15m_ema100:
    108759
  67. 15m_price_ema100_diff:
    0.00455173
  68. 15m_price:
    109255
  69. btc_indicators
  70. 1H_ema100:
    109318
  71. 1H_price_ema100_diff:
    -0.000581023
  72. 1H_price:
    109255
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
15:08:42
01 Sep 2025
16:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2298 0.2308 0.2283 1.5 0.0886
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 0.2298
  • Stop Loss: 0.2308
  • Take Profit: 0.2283

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2308 - 0.2298 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2298 - 0.2283 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1838.4877 100 8000.3816 18.38
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.2298 = 1838.4

Donc, tu peux acheter 8000 avec un stoploss a 0.2308

Avec un position size USD de 1838.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 8000
  • Taille de position USD 1838.4
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.65 % 12 $
SL % Target SL $ Target
0.44 % 8 $
PNL PNL %
12 $ 0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1305 % 29.99 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2278
            [stop_loss] => 0.2308
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2273
            [stop_loss] => 0.2308
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2268
            [stop_loss] => 0.2308
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2263
            [stop_loss] => 0.2308
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2258
            [stop_loss] => 0.2308
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2253
            [stop_loss] => 0.2308
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2248
            [stop_loss] => 0.2308
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2243
            [stop_loss] => 0.2308
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2238
            [stop_loss] => 0.2308
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 16:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.2233
            [stop_loss] => 0.2308
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 16:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.2228
            [stop_loss] => 0.2308
            [rr_ratio] => 7
            [closed_at] => 2025-09-01 17:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0067
            [max_drawdown] => 0.00029999999999999
            [rr_ratio] => 22.33
            [high] => 0.23010000
            [low] => 0.22310000
            [mfe_pct] => 2.92
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 22.33
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T15:08:42-04:00
            [end_at] => 2025-09-01T17:08:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0081
            [max_drawdown] => 0.00059999999999999
            [rr_ratio] => 13.5
            [high] => 0.23040000
            [low] => 0.22170000
            [mfe_pct] => 3.52
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 13.5
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T15:08:42-04:00
            [end_at] => 2025-09-01T22:08:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22990000
            [high_after] => 0.23010000
            [low_before] => 0.22590000
            [low_after] => 0.22170000
            [is_new_high] => 
            [is_new_low] => 1
        )

)