Short Trade on GTC 29 Aug 2025 at 18:51:35
Take profit at 0.321 (0.65 %) and Stop Loss at 0.3245 (0.43 %)
Short Trade on GTC 29 Aug 2025 at 18:51:35
Take profit at 0.321 (0.65 %) and Stop Loss at 0.3245 (0.43 %)
Position size of 1858.4187 $
Take profit at 0.321 (0.65 %) and Stop Loss at 0.3245 (0.43 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.95 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.7 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.91 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bear rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.586636 |
2 |
Indicators:
108247
-0.000637298
108178
0.586636
109637
-0.0133068
108178
110773
-0.0234301
108178
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 29 Aug 2025 18:51:35 |
29 Aug 2025 19:40:00 |
48 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.3231 | 0.3245 | 0.321 | 1.5 | 0.0981 |
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 = 0.3245 - 0.3231 = 0.0014
Récompense (distance jusqu'au take profit):
E - TP = 0.3231 - 0.321 = 0.0021
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0021 / 0.0014 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1858.4187 | 100 | 5751.8374 | 18.58 |
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 / 0.0014 = 5714.29
Taille de position USD = 5714.29 x 0.3231 = 1846.29
Donc, tu peux acheter 5714.29 avec un stoploss a 0.3245
Avec un position size USD de 1846.29$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 5714.29 x 0.0014 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 5714.29 x 0.0021 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.65 % | 12.08 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.43 % | 8.05 $ |
| PNL | PNL % |
|---|---|
| -8.05 $ | -0.43 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5571 % | 128.57 % | 4 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.321
[entry_price] => 0.3231
[stop_loss] => 0.32464
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-29 19:40:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.321
[entry_price] => 0.3231
[stop_loss] => 0.32478
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-29 19:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.321
[entry_price] => 0.3231
[stop_loss] => 0.32492
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-29 20:15:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.321
[entry_price] => 0.3231
[stop_loss] => 0.3252
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-29 20:15:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.001
[max_drawdown] => 0.0026
[rr_ratio] => 0.38
[high] => 0.32570000
[low] => 0.32210000
[mfe_pct] => 0.31
[mae_pct] => 0.8
[mfe_mae_ratio] => 0.38
[candles_analyzed] => 24
[start_at] => 2025-08-29T18:51:35-04:00
[end_at] => 2025-08-29T20:51:35-04:00
)
[long_term] => Array
(
[max_gain] => 0.0045
[max_drawdown] => 0.0056
[rr_ratio] => 0.8
[high] => 0.32870000
[low] => 0.31860000
[mfe_pct] => 1.39
[mae_pct] => 1.73
[mfe_mae_ratio] => 0.8
[candles_analyzed] => 84
[start_at] => 2025-08-29T18:51:35-04:00
[end_at] => 2025-08-30T01:51:35-04:00
)
[breakout] => Array
(
[high_before] => 0.32340000
[high_after] => 0.32870000
[low_before] => 0.31410000
[low_after] => 0.31860000
[is_new_high] =>
[is_new_low] =>
)
)