Short Trade on MANA 11 Oct 2025 at 05:27:39
Take profit at 0.2452 (2.12 %) and Stop Loss at 0.2531 (1.04 %)
Short Trade on MANA 11 Oct 2025 at 05:27:39
Take profit at 0.2452 (2.12 %) and Stop Loss at 0.2531 (1.04 %)
Position size of 763.0725 $
Take profit at 0.2452 (2.12 %) and Stop Loss at 0.2531 (1.04 %)
That's a 2.04 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.89 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.5 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.83 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bear_low_vol rules_regime : bear_high rules_regime_5m : bear_low |
1H_regime : bear_high 15m_regime : bear_high 5m_regime : bull_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.66664 15m : 0.19726 1H : -0.009343 |
3 |
Indicators:
111620
4.50165E-5
111625
0.66664
114864
-0.0279801
111650
0.19726
119481
-0.0657554
111625
-0.009343
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 11 Oct 2025 05:27:39 |
11 Oct 2025 07:15:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2505 | 0.2531 | 0.2452 | 2.04 | 0.0962 |
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 = 0.2531 - 0.2505 = 0.0026
Récompense (distance jusqu'au take profit):
E - TP = 0.2505 - 0.2452 = 0.0053
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0053 / 0.0026 = 2.0385
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 763.0725 | 100 | 3046.1977 | 7.63 |
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 / 0.0026 = 3076.92
Taille de position USD = 3076.92 x 0.2505 = 770.77
Donc, tu peux acheter 3076.92 avec un stoploss a 0.2531
Avec un position size USD de 770.77$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 3076.92 x 0.0026 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 3076.92 x 0.0053 = 16.31
Si Take Profit atteint, tu gagneras 16.31$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.12 % | 16.14 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.04 % | 7.92 $ |
| PNL | PNL % |
|---|---|
| 16.14 $ | 2.12 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.2395 % | 23.08 % | 2 |
Array
(
[2] => Array
(
[take_profit] => 0.2453
[stop_loss] => 0.2531
[rr_ratio] => 2
[closed_at] => 2025-10-11 07:15:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.244
[stop_loss] => 0.2531
[rr_ratio] => 2.5
[closed_at] => 2025-10-11 08:45:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.2427
[stop_loss] => 0.2531
[rr_ratio] => 3
[closed_at] => 2025-10-11 08:50:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.2414
[stop_loss] => 0.2531
[rr_ratio] => 3.5
[closed_at] => 2025-10-11 09:30:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.2401
[stop_loss] => 0.2531
[rr_ratio] => 4
[closed_at] => 2025-10-11 09:35:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0054
[max_drawdown] => 0.00059999999999999
[rr_ratio] => 9
[high] => 0.25110000
[low] => 0.24510000
[mfe_pct] => 2.16
[mae_pct] => 0.24
[mfe_mae_ratio] => 9
[candles_analyzed] => 24
[start_at] => 2025-10-11T05:27:39-04:00
[end_at] => 2025-10-11T07:27:39-04:00
)
[long_term] => Array
(
[max_gain] => 0.0109
[max_drawdown] => 0.00059999999999999
[rr_ratio] => 18.17
[high] => 0.25110000
[low] => 0.23960000
[mfe_pct] => 4.35
[mae_pct] => 0.24
[mfe_mae_ratio] => 18.17
[candles_analyzed] => 84
[start_at] => 2025-10-11T05:27:39-04:00
[end_at] => 2025-10-11T12:27:39-04:00
)
[breakout] => Array
(
[high_before] => 0.25120000
[high_after] => 0.25110000
[low_before] => 0.23510000
[low_after] => 0.23960000
[is_new_high] =>
[is_new_low] =>
)
)