Short Trade on ALGO 29 Aug 2025 at 17:53:30

Take profit at 0.2349 (0.68 %) and Stop Loss at 0.2376 (0.47 %)

Short Trade on ALGO

The 29 Aug 2025 at 17:53:30

With 7328.9851 ALGO at 0.2365$ per unit.

Position size of 1733.305 $

Take profit at 0.2349 (0.68 %) and Stop Loss at 0.2376 (0.47 %)

That's a 1.45 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 7.77
Prediction Score: 2.5083
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.92
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : bear_low

BTC Correlation Score

5m : 0.7598

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0007277042089
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.235379
  4. ema21 : 0.239008
  5. ema50 : 0.244336
  6. ema100 : 0.247709
  7. price_ema9_diff : 0.0047592
  8. ema9_ema21_diff : -0.0151826
  9. ema21_ema50_diff : -0.0218046
  10. price_ema100_diff : -0.045254
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.408576
  14. adx : 0.29124
  15. kc_percentage : 0.337005
  16. kc_width_percentage : 0.0576881
  17. volume_ema_diff : -0.0724704
  18. volume_ema1 : 578655.35968111
  19. volume_ema2 : 623867.30750404
  20. ¸
  21. 15m
  22. ema9 : 0.234847
  23. ema21 : 0.234667
  24. ema50 : 0.236525
  25. ema100 : 0.240063
  26. price_ema9_diff : 0.00703613
  27. ema9_ema21_diff : 0.000767591
  28. ema21_ema50_diff : -0.00785378
  29. price_ema100_diff : -0.0148427
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.58849
  33. adx : 0.273249
  34. kc_percentage : 0.826425
  35. kc_width_percentage : 0.0240585
  36. volume_ema_diff : -0.406075
  37. volume_ema1 : 104015.07212156
  38. volume_ema2 : 175131.77220057
  39. ¸
  40. 5m
  41. ema9 : 0.235557
  42. ema21 : 0.234733
  43. ema50 : 0.234399
  44. ema100 : 0.234686
  45. price_ema9_diff : 0.00399997
  46. ema9_ema21_diff : 0.0035095
  47. ema21_ema50_diff : 0.00142576
  48. price_ema100_diff : 0.00772801
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.700177
  52. adx : 0.217288
  53. kc_percentage : 1.10625
  54. kc_width_percentage : 0.0120533
  55. volume_ema_diff : -0.319186
  56. volume_ema1 : 31482.646732457
  57. volume_ema2 : 46242.658869164
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108405
  62. 5m_price_ema100_diff:
    -0.00057901
  63. 5m_price:
    108342
  64. 5m_correlation_with_coin:
    0.7598
  65. btc_indicators
  66. 15m_ema100:
    109730
  67. 15m_price_ema100_diff:
    -0.0123677
  68. 15m_price:
    108373
  69. btc_indicators
  70. 1H_ema100:
    111058
  71. 1H_price_ema100_diff:
    -0.0244492
  72. 1H_price:
    108342
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
17:53:30
29 Aug 2025
18:15:00
21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2365 0.2376 0.2349 1.45 0.0897
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 0.2365
  • Stop Loss: 0.2376
  • Take Profit: 0.2349

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2376 - 0.2365 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2365 - 0.2349 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.0011 = 1.4545

📌 Position Size

Amount Margin Quantity Leverage
1733.305 100 7328.9851 17.33
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.2365 = 1720

Donc, tu peux acheter 7272.73 avec un stoploss a 0.2376

Avec un position size USD de 1720$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.0016 = 11.64

Si Take Profit atteint, tu gagneras 11.64$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 1720
  • Perte potentielle 8
  • Gain potentiel 11.64
  • Risk-Reward Ratio 1.4545

📌 Peformances

TP % Target TP $ Target
0.68 % 11.73 $
SL % Target SL $ Target
0.47 % 8.06 $
PNL PNL %
11.73 $ 0.68
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0423 % 9.09 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2343
            [stop_loss] => 0.2376
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 20:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.23375
            [stop_loss] => 0.2376
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 21:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2332
            [stop_loss] => 0.2376
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 21:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.23265
            [stop_loss] => 0.2376
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 21:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2321
            [stop_loss] => 0.2376
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 21:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.23155
            [stop_loss] => 0.2376
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.231
            [stop_loss] => 0.2376
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.23045
            [stop_loss] => 0.2376
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2299
            [stop_loss] => 0.2376
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 21:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0016
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 2.29
            [high] => 0.23720000
            [low] => 0.23490000
            [mfe_pct] => 0.68
            [mae_pct] => 0.3
            [mfe_mae_ratio] => 2.29
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T17:53:30-04:00
            [end_at] => 2025-08-29T19:53:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0068
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 9.71
            [high] => 0.23720000
            [low] => 0.22970000
            [mfe_pct] => 2.88
            [mae_pct] => 0.3
            [mfe_mae_ratio] => 9.71
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T17:53:30-04:00
            [end_at] => 2025-08-30T00:53:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.23680000
            [high_after] => 0.23720000
            [low_before] => 0.23180000
            [low_after] => 0.22970000
            [is_new_high] => 
            [is_new_low] => 1
        )

)