Short Trade on HBAR
The 15 Dec 2025 at 18:02:37
With 17425.0309 HBAR at 0.1138$ per unit.
Position size of 1983.6655 $
Take profit at 0.1129 (0.79 %) and Stop Loss at 0.1143 (0.44 %)
That's a 1.8 RR TradePosition size of 1983.6655 $
Take profit at 0.1129 (0.79 %) and Stop Loss at 0.1143 (0.44 %)
That's a 1.8 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.96 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.72 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.84 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bear rules_regime : bear_medium rules_regime_5m : bear_low |
1H_regime : bear_high 15m_regime : bear_medium 5m_regime : bull_low_confirmed |
| BTC Correlation | Score |
|---|---|
|
5m : 0.78914 15m : 0.158053 1H : -0.081376 |
3 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 15 Dec 2025 18:02:37 |
15 Dec 2025 18:10:00 |
7 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1138 | 0.1143 | 0.1129 | 1.8 | 0.1151 |
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 = 0.1143 - 0.1138 = 0.0005
Récompense (distance jusqu'au take profit):
E - TP = 0.1138 - 0.1129 = 0.0009
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0009 / 0.0005 = 1.8
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1983.6655 | 100 | 17425.0309 | 19.84 |
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 / 0.0005 = 16000
Taille de position USD = 16000 x 0.1138 = 1820.8
Donc, tu peux acheter 16000 avec un stoploss a 0.1143
Avec un position size USD de 1820.8$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 16000 x 0.0005 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 16000 x 0.0009 = 14.4
Si Take Profit atteint, tu gagneras 14.4$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.79 % | 15.68 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.44 % | 8.71 $ |
| PNL | PNL % |
|---|---|
| -8.72 $ | -0.44 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5009 % | 114 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1129
[entry_price] => 0.1138
[stop_loss] => 0.11435
[rr_ratio] => 1.64
[sl_change_percentage] => 1.1
[closed_at] => 2025-12-15 18:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1129
[entry_price] => 0.1138
[stop_loss] => 0.1144
[rr_ratio] => 1.5
[sl_change_percentage] => 1.2
[closed_at] => 2025-12-15 18:35:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1129
[entry_price] => 0.1138
[stop_loss] => 0.11445
[rr_ratio] => 1.38
[sl_change_percentage] => 1.3
[closed_at] => 2025-12-15 18:35:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1129
[entry_price] => 0.1138
[stop_loss] => 0.11455
[rr_ratio] => 1.2
[sl_change_percentage] => 1.5
[closed_at] => 2025-12-15 21:05:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00058999999999999
[max_drawdown] => 0.00066000000000001
[rr_ratio] => 0.89
[high] => 0.11446000
[low] => 0.11321000
[mfe_pct] => 0.52
[mae_pct] => 0.58
[mfe_mae_ratio] => 0.89
[candles_analyzed] => 24
[start_at] => 2025-12-15T18:02:37-05:00
[end_at] => 2025-12-15T20:02:37-05:00
)
[long_term] => Array
(
[max_gain] => 0.00215
[max_drawdown] => 0.00066000000000001
[rr_ratio] => 3.26
[high] => 0.11446000
[low] => 0.11165000
[mfe_pct] => 1.89
[mae_pct] => 0.58
[mfe_mae_ratio] => 3.26
[candles_analyzed] => 84
[start_at] => 2025-12-15T18:02:37-05:00
[end_at] => 2025-12-16T01:02:37-05:00
)
[breakout] => Array
(
[high_before] => 0.11389000
[high_after] => 0.11446000
[low_before] => 0.11154000
[low_after] => 0.11165000
[is_new_high] =>
[is_new_low] =>
)
)