Short Trade on ZKP
The 31 Dec 2025 at 17:44:25
With 7752.4878 ZKP at 0.1291$ per unit.
Position size of 1001.0012 $
Take profit at 0.1271 (1.55 %) and Stop Loss at 0.1302 (0.85 %)
That's a 1.82 RR TradePosition size of 1001.0012 $
Take profit at 0.1271 (1.55 %) and Stop Loss at 0.1302 (0.85 %)
That's a 1.82 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.83 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.73 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.7 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : range_medium rules_regime_5m : range_low |
1H_regime : bear_high 15m_regime : bear_high 5m_regime : bull_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.00741 15m : -0.052404 1H : -0.044202 |
0 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 31 Dec 2025 17:44:25 |
31 Dec 2025 17:45:00 |
35 seconds |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1291 | 0.1302 | 0.1271 | 1.82 | 0.1401 |
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 = 0.1302 - 0.1291 = 0.0011
Récompense (distance jusqu'au take profit):
E - TP = 0.1291 - 0.1271 = 0.002
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.002 / 0.0011 = 1.8182
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1001.0012 | 100 | 7752.4878 | 10.01 |
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 / 0.0011 = 7272.73
Taille de position USD = 7272.73 x 0.1291 = 938.91
Donc, tu peux acheter 7272.73 avec un stoploss a 0.1302
Avec un position size USD de 938.91$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 7272.73 x 0.0011 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 7272.73 x 0.002 = 14.55
Si Take Profit atteint, tu gagneras 14.55$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.55 % | 15.5 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.85 % | 8.53 $ |
| PNL | PNL % |
|---|---|
| -8.53 $ | -0.85 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9218 % | 108.18 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1271
[entry_price] => 0.1291
[stop_loss] => 0.13031
[rr_ratio] => 1.65
[sl_change_percentage] => 1.1
[closed_at] => 2025-12-31 18:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1271
[entry_price] => 0.1291
[stop_loss] => 0.13042
[rr_ratio] => 1.52
[sl_change_percentage] => 1.2
[closed_at] => 2025-12-31 18:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1271
[entry_price] => 0.1291
[stop_loss] => 0.13053
[rr_ratio] => 1.4
[sl_change_percentage] => 1.3
[closed_at] => 2025-12-31 18:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1271
[entry_price] => 0.1291
[stop_loss] => 0.13075
[rr_ratio] => 1.21
[sl_change_percentage] => 1.5
[closed_at] => 2025-12-31 18:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00061999999999998
[max_drawdown] => 0.01192
[rr_ratio] => 0.05
[high] => 0.14102000
[low] => 0.12848000
[mfe_pct] => 0.48
[mae_pct] => 9.23
[mfe_mae_ratio] => 0.05
[candles_analyzed] => 24
[start_at] => 2025-12-31T17:44:25-05:00
[end_at] => 2025-12-31T19:44:25-05:00
)
[long_term] => Array
(
[max_gain] => 0.00061999999999998
[max_drawdown] => 0.0131
[rr_ratio] => 0.05
[high] => 0.14220000
[low] => 0.12848000
[mfe_pct] => 0.48
[mae_pct] => 10.15
[mfe_mae_ratio] => 0.05
[candles_analyzed] => 84
[start_at] => 2025-12-31T17:44:25-05:00
[end_at] => 2026-01-01T00:44:25-05:00
)
[breakout] => Array
(
[high_before] => 0.12990000
[high_after] => 0.14220000
[low_before] => 0.12372000
[low_after] => 0.12848000
[is_new_high] =>
[is_new_low] =>
)
)