Long Trade on REZ 11 May 2025 at 07:35:00
Take profit at 0.0182 (3.47 %) and Stop Loss at 0.01719 (2.27 %)
Long Trade on REZ 11 May 2025 at 07:35:00
Take profit at 0.0182 (3.47 %) and Stop Loss at 0.01719 (2.27 %)
Position size of 347.8164 $
Take profit at 0.0182 (3.47 %) and Stop Loss at 0.01719 (2.27 %)
That's a 1.52 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
n/a |
| Prediction 2 | Probability |
|---|---|
| 0 | n/a |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.277486 |
Indicators:
104079
0.00295065
104387
0.277486
103872
0.00495707
104387
101910
0.0242983
104387
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 11 May 2025 07:35:00 |
11 May 2025 08:15:00 |
40 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.01759 | 0.01719 | 0.0182 | 1.52 | 0.002758 |
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 = 0.01719 - 0.01759 = -0.0004
Récompense (distance jusqu'au take profit):
E - TP = 0.01759 - 0.0182 = -0.00061
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.00061 / -0.0004 = 1.525
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 347.8164 | 100 | 19773.5288 | 3.48 |
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 / -0.0004 = -20000
Taille de position USD = -20000 x 0.01759 = -351.8
Donc, tu peux acheter -20000 avec un stoploss a 0.01719
Avec un position size USD de -351.8$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -20000 x -0.0004 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -20000 x -0.00061 = 12.2
Si Take Profit atteint, tu gagneras 12.2$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 3.47 % | 12.06 $ |
| SL % Target | SL $ Target |
|---|---|
| 2.27 % | 7.91 $ |
| PNL | PNL % |
|---|---|
| -7.91 $ | -2.27 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -3.7521318931211 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.0182
[entry_price] => 0.01759
[stop_loss] => 0.01715
[rr_ratio] => 1.39
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-11 08:15:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.0182
[entry_price] => 0.01759
[stop_loss] => 0.01711
[rr_ratio] => 1.27
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-11 08:15:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.0182
[entry_price] => 0.01759
[stop_loss] => 0.01707
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-11 08:15:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.0182
[entry_price] => 0.01759
[stop_loss] => 0.01699
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-11 08:15:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00019
[max_drawdown] => 0.00073
[rr_ratio] => 0.26
[high] => 0.01778000
[low] => 0.01686000
[mfe_pct] => 1.08
[mae_pct] => 4.15
[mfe_mae_ratio] => 0.26
[candles_analyzed] => 25
[start_at] => 2025-05-11T07:35:00-04:00
[end_at] => 2025-05-11T09:35:00-04:00
)
[long_term] => Array
(
[max_gain] => 0.00019
[max_drawdown] => 0.00129
[rr_ratio] => 0.15
[high] => 0.01778000
[low] => 0.01630000
[mfe_pct] => 1.08
[mae_pct] => 7.33
[mfe_mae_ratio] => 0.15
[candles_analyzed] => 73
[start_at] => 2025-05-11T07:35:00-04:00
[end_at] => 2025-05-11T13:35:00-04:00
)
[breakout] => Array
(
[high_before] => 0.01919000
[high_after] => 0.01778000
[low_before] => 0.01734000
[low_after] => 0.01630000
[is_new_high] =>
[is_new_low] =>
)
)