Short Trade on ARC 30 Jul 2025 at 19:32:41
Take profit at 0.0222 (0.94 %) and Stop Loss at 0.02255 (0.62 %)
Short Trade on ARC 30 Jul 2025 at 19:32:41
Take profit at 0.0222 (0.94 %) and Stop Loss at 0.02255 (0.62 %)
Position size of 1252.1841 $
Take profit at 0.0222 (0.94 %) and Stop Loss at 0.02255 (0.62 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.89 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.59 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.83 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.580599 |
Indicators:
117405
0.000919564
117513
0.580599
117614
-0.000857783
117513
118028
-0.00436167
117513
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 30 Jul 2025 19:32:41 |
30 Jul 2025 20:25:00 |
52 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.02241 | 0.02255 | 0.0222 | 1.5 | 0.03045 |
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 = 0.02255 - 0.02241 = 0.00014
Récompense (distance jusqu'au take profit):
E - TP = 0.02241 - 0.0222 = 0.00021
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00021 / 0.00014 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1252.1841 | 100 | 55876.1301 | 12.52 |
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 / 0.00014 = 57142.86
Taille de position USD = 57142.86 x 0.02241 = 1280.57
Donc, tu peux acheter 57142.86 avec un stoploss a 0.02255
Avec un position size USD de 1280.57$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 57142.86 x 0.00014 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 57142.86 x 0.00021 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.94 % | 11.73 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.62 % | 7.82 $ |
| PNL | PNL % |
|---|---|
| -7.82 $ | -0.62 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.6247 % | 100 % | 10 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.0222
[entry_price] => 0.02241
[stop_loss] => 0.022564
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-30 20:40:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.0222
[entry_price] => 0.02241
[stop_loss] => 0.022578
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-30 20:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.0222
[entry_price] => 0.02241
[stop_loss] => 0.022592
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-30 20:40:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.0222
[entry_price] => 0.02241
[stop_loss] => 0.02262
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-30 20:40:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 8.0E-5
[max_drawdown] => 0.00033
[rr_ratio] => 0.24
[high] => 0.02274000
[low] => 0.02233000
[mfe_pct] => 0.36
[mae_pct] => 1.47
[mfe_mae_ratio] => 0.24
[candles_analyzed] => 24
[start_at] => 2025-07-30T19:32:41-04:00
[end_at] => 2025-07-30T21:32:41-04:00
)
[long_term] => Array
(
[max_gain] => 8.0E-5
[max_drawdown] => 0.00063
[rr_ratio] => 0.13
[high] => 0.02304000
[low] => 0.02233000
[mfe_pct] => 0.36
[mae_pct] => 2.81
[mfe_mae_ratio] => 0.13
[candles_analyzed] => 84
[start_at] => 2025-07-30T19:32:41-04:00
[end_at] => 2025-07-31T02:32:41-04:00
)
[breakout] => Array
(
[high_before] => 0.02282000
[high_after] => 0.02302000
[low_before] => 0.02188000
[low_after] => 0.02233000
[is_new_high] =>
[is_new_low] =>
)
)