Short Trade on USELESS 06 Aug 2025 at 11:19:38
Take profit at 0.1885 (2.43 %) and Stop Loss at 0.1963 (1.6 %)
Short Trade on USELESS 06 Aug 2025 at 11:19:38
Take profit at 0.1885 (2.43 %) and Stop Loss at 0.1963 (1.6 %)
Position size of 493.8543 $
Take profit at 0.1885 (2.43 %) and Stop Loss at 0.1963 (1.6 %)
That's a 1.52 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.98 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.66 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.76 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.41732 |
Indicators:
114163
0.0067981
114939
0.41732
113785
0.0101395
114939
114023
0.00803816
114939
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 06 Aug 2025 11:19:38 |
06 Aug 2025 11:50:00 |
30 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1932 | 0.1963 | 0.1885 | 1.52 | 0.04034 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.1963 - 0.1932 = 0.0031
Récompense (distance jusqu'au take profit):
E - TP = 0.1932 - 0.1885 = 0.0047
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0047 / 0.0031 = 1.5161
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 493.8543 | 100 | 2556.1817 | 4.94 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / 0.0031 = 2580.65
Taille de position USD = 2580.65 x 0.1932 = 498.58
Donc, tu peux acheter 2580.65 avec un stoploss a 0.1963
Avec un position size USD de 498.58$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 2580.65 x 0.0031 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 2580.65 x 0.0047 = 12.13
Si Take Profit atteint, tu gagneras 12.13$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.43 % | 12.01 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.6 % | 7.92 $ |
| PNL | PNL % |
|---|---|
| -7.92 $ | -1.60 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.8986 % | 180.64 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1885
[entry_price] => 0.1932
[stop_loss] => 0.19661
[rr_ratio] => 1.38
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-06 11:50:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1885
[entry_price] => 0.1932
[stop_loss] => 0.19692
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-06 11:50:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1885
[entry_price] => 0.1932
[stop_loss] => 0.19723
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-06 11:50:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1885
[entry_price] => 0.1932
[stop_loss] => 0.19785
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-06 11:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0016
[max_drawdown] => 0.0186
[rr_ratio] => 0.09
[high] => 0.21180000
[low] => 0.19160000
[mfe_pct] => 0.83
[mae_pct] => 9.63
[mfe_mae_ratio] => 0.09
[candles_analyzed] => 24
[start_at] => 2025-08-06T11:19:38-04:00
[end_at] => 2025-08-06T13:19:38-04:00
)
[long_term] => Array
(
[max_gain] => 0.0016
[max_drawdown] => 0.0267
[rr_ratio] => 0.06
[high] => 0.21990000
[low] => 0.19160000
[mfe_pct] => 0.83
[mae_pct] => 13.82
[mfe_mae_ratio] => 0.06
[candles_analyzed] => 84
[start_at] => 2025-08-06T11:19:38-04:00
[end_at] => 2025-08-06T18:19:38-04:00
)
[breakout] => Array
(
[high_before] => 0.19320000
[high_after] => 0.21990000
[low_before] => 0.17790000
[low_after] => 0.19160000
[is_new_high] =>
[is_new_low] =>
)
)