Long Trade on ALPINE 08 Jul 2025 at 06:10:49
Take profit at 0.8914 (5.08 %) and Stop Loss at 0.8196 (3.38 %)
Long Trade on ALPINE 08 Jul 2025 at 06:10:49
Take profit at 0.8914 (5.08 %) and Stop Loss at 0.8196 (3.38 %)
Position size of 236.2859 $
Take profit at 0.8914 (5.08 %) and Stop Loss at 0.8196 (3.38 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.56 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.44 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.027039 |
Indicators:
108127
0.00252082
108400
0.027039
108229
0.00157644
108400
108351
0.000446076
108400
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 08 Jul 2025 06:10:49 |
08 Jul 2025 07:40:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.8483 | 0.8196 | 0.8914 | 1.5 | 0.54 |
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 = 0.8196 - 0.8483 = -0.0287
Récompense (distance jusqu'au take profit):
E - TP = 0.8483 - 0.8914 = -0.0431
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0431 / -0.0287 = 1.5017
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 236.2859 | 100 | 278.5405 | 2.36 |
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 / -0.0287 = -278.75
Taille de position USD = -278.75 x 0.8483 = -236.46
Donc, tu peux acheter -278.75 avec un stoploss a 0.8196
Avec un position size USD de -236.46$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -278.75 x -0.0287 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -278.75 x -0.0431 = 12.01
Si Take Profit atteint, tu gagneras 12.01$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 5.08 % | 12.01 $ |
| SL % Target | SL $ Target |
|---|---|
| 3.38 % | 7.99 $ |
| PNL | PNL % |
|---|---|
| -7.99 $ | -3.38 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -3.5954 % | 106.27 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.8914
[entry_price] => 0.8483
[stop_loss] => 0.81673
[rr_ratio] => 1.37
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-08 07:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.8914
[entry_price] => 0.8483
[stop_loss] => 0.81386
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-08 07:50:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.8914
[entry_price] => 0.8483
[stop_loss] => 0.81099
[rr_ratio] => 1.16
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-08 07:55:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.8914
[entry_price] => 0.8483
[stop_loss] => 0.80525
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-08 10:35:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0086999999999999
[max_drawdown] => 0.0384
[rr_ratio] => 0.23
[high] => 0.85700000
[low] => 0.80990000
[mfe_pct] => 1.03
[mae_pct] => 4.53
[mfe_mae_ratio] => 0.23
[candles_analyzed] => 24
[start_at] => 2025-07-08T06:10:49-04:00
[end_at] => 2025-07-08T08:10:49-04:00
)
[long_term] => Array
(
[max_gain] => 0.0086999999999999
[max_drawdown] => 0.0477
[rr_ratio] => 0.18
[high] => 0.85700000
[low] => 0.80060000
[mfe_pct] => 1.03
[mae_pct] => 5.62
[mfe_mae_ratio] => 0.18
[candles_analyzed] => 72
[start_at] => 2025-07-08T06:10:49-04:00
[end_at] => 2025-07-08T12:10:49-04:00
)
[breakout] => Array
(
[high_before] => 1.01030000
[high_after] => 0.85700000
[low_before] => 0.80940000
[low_after] => 0.80060000
[is_new_high] =>
[is_new_low] =>
)
)