Short Trade on DOGE
The 07 Dec 2025 at 11:07:05
With 8251.5404 DOGE at 0.1387$ per unit.
Position size of 1144.5712 $
Take profit at 0.1368 (1.37 %) and Stop Loss at 0.1397 (0.72 %)
That's a 1.9 RR TradePosition size of 1144.5712 $
Take profit at 0.1368 (1.37 %) and Stop Loss at 0.1397 (0.72 %)
That's a 1.9 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.73 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.53 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.54 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_medium rules_regime_5m : range_low |
1H_regime : bear_high 15m_regime : range_medium 5m_regime : range_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.860467 15m : -0.073933 1H : -0.184193 |
1 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 07 Dec 2025 11:07:05 |
07 Dec 2025 12:15:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1387 | 0.1397 | 0.1368 | 1.9 | 0.129 |
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 = 0.1397 - 0.1387 = 0.001
Récompense (distance jusqu'au take profit):
E - TP = 0.1387 - 0.1368 = 0.0019
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0019 / 0.001 = 1.9
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1144.5712 | 100 | 8251.5404 | 11.45 |
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 0.1387 = 1109.6
Donc, tu peux acheter 8000 avec un stoploss a 0.1397
Avec un position size USD de 1109.6$
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 0.0019 = 15.2
Si Take Profit atteint, tu gagneras 15.2$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.37 % | 15.68 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.72 % | 8.25 $ |
| PNL | PNL % |
|---|---|
| -8.25 $ | -0.72 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.1752 % | 163 % | 8 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1368
[entry_price] => 0.1387
[stop_loss] => 0.1398
[rr_ratio] => 1.73
[sl_change_percentage] => 1.1
[closed_at] => 2025-12-07 12:15:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1368
[entry_price] => 0.1387
[stop_loss] => 0.1399
[rr_ratio] => 1.58
[sl_change_percentage] => 1.2
[closed_at] => 2025-12-07 12:15:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1368
[entry_price] => 0.1387
[stop_loss] => 0.14
[rr_ratio] => 1.46
[sl_change_percentage] => 1.3
[closed_at] => 2025-12-07 12:15:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1368
[entry_price] => 0.1387
[stop_loss] => 0.1402
[rr_ratio] => 1.27
[sl_change_percentage] => 1.5
[closed_at] => 2025-12-07 12:15:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00058999999999998
[max_drawdown] => 0.00362
[rr_ratio] => 0.16
[high] => 0.14232000
[low] => 0.13811000
[mfe_pct] => 0.43
[mae_pct] => 2.61
[mfe_mae_ratio] => 0.16
[candles_analyzed] => 24
[start_at] => 2025-12-07T11:07:05-05:00
[end_at] => 2025-12-07T13:07:05-05:00
)
[long_term] => Array
(
[max_gain] => 0.00294
[max_drawdown] => 0.00415
[rr_ratio] => 0.71
[high] => 0.14285000
[low] => 0.13576000
[mfe_pct] => 2.12
[mae_pct] => 2.99
[mfe_mae_ratio] => 0.71
[candles_analyzed] => 84
[start_at] => 2025-12-07T11:07:05-05:00
[end_at] => 2025-12-07T18:07:05-05:00
)
[breakout] => Array
(
[high_before] => 0.13984000
[high_after] => 0.14285000
[low_before] => 0.13481000
[low_after] => 0.13576000
[is_new_high] =>
[is_new_low] =>
)
)