Long Trade on MANA 31 Aug 2025 at 02:35:49
Take profit at 0.2952 (0.51 %) and Stop Loss at 0.2927 (0.34 %)
Long Trade on MANA 31 Aug 2025 at 02:35:49
Take profit at 0.2952 (0.51 %) and Stop Loss at 0.2927 (0.34 %)
Position size of 2300.6567 $
Take profit at 0.2952 (0.51 %) and Stop Loss at 0.2927 (0.34 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.63 |
| Prediction 2 | Probability |
|---|---|
| 2 | 0.51 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.72 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_low rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.114483 |
0 |
Indicators:
108811
-0.00309277
108475
0.114483
108698
-0.00205846
108475
109868
-0.0126824
108475
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 31 Aug 2025 02:35:49 |
31 Aug 2025 03:15:00 |
39 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2937 | 0.2927 | 0.2952 | 1.5 | 0.0966 |
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 = 0.2927 - 0.2937 = -0.001
Récompense (distance jusqu'au take profit):
E - TP = 0.2937 - 0.2952 = -0.0015
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0015 / -0.001 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2300.6567 | 100 | 7833.356 | 23.01 |
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 / -0.001 = -8000
Taille de position USD = -8000 x 0.2937 = -2349.6
Donc, tu peux acheter -8000 avec un stoploss a 0.2927
Avec un position size USD de -2349.6$
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
| TP % Target | TP $ Target |
|---|---|
| 0.51 % | 11.75 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.34 % | 7.83 $ |
| PNL | PNL % |
|---|---|
| -7.83 $ | -0.34 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5448 % | 160 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2952
[entry_price] => 0.2937
[stop_loss] => 0.2926
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-31 03:15:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2952
[entry_price] => 0.2937
[stop_loss] => 0.2925
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-31 03:15:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2952
[entry_price] => 0.2937
[stop_loss] => 0.2924
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-31 03:15:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2952
[entry_price] => 0.2937
[stop_loss] => 0.2922
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-31 03:15:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.003
[max_drawdown] => 0.0016
[rr_ratio] => 1.88
[high] => 0.29670000
[low] => 0.29210000
[mfe_pct] => 1.02
[mae_pct] => 0.54
[mfe_mae_ratio] => 1.88
[candles_analyzed] => 24
[start_at] => 2025-08-31T02:35:49-04:00
[end_at] => 2025-08-31T04:35:49-04:00
)
[long_term] => Array
(
[max_gain] => 0.004
[max_drawdown] => 0.0024
[rr_ratio] => 1.67
[high] => 0.29770000
[low] => 0.29130000
[mfe_pct] => 1.36
[mae_pct] => 0.82
[mfe_mae_ratio] => 1.67
[candles_analyzed] => 84
[start_at] => 2025-08-31T02:35:49-04:00
[end_at] => 2025-08-31T09:35:49-04:00
)
[breakout] => Array
(
[high_before] => 0.30300000
[high_after] => 0.29770000
[low_before] => 0.29310000
[low_after] => 0.29130000
[is_new_high] =>
[is_new_low] =>
)
)