Short Trade on ALGO
The 20 Nov 2025 at 17:16:31
With 9598.081 ALGO at 0.1469$ per unit.
Position size of 1409.9581 $
Take profit at 0.1452 (1.16 %) and Stop Loss at 0.1477 (0.54 %)
That's a 2.13 RR TradePosition size of 1409.9581 $
Take profit at 0.1452 (1.16 %) and Stop Loss at 0.1477 (0.54 %)
That's a 2.13 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.64 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.49 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.66 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bear_low_vol rules_regime : bear_high rules_regime_5m : bear_low |
1H_regime : bear_high 15m_regime : bear_high 5m_regime : bull_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.817358 15m : -0.013413 1H : -0.004611 |
3 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 20 Nov 2025 17:16:31 |
20 Nov 2025 17:30:00 |
13 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1469 | 0.1477 | 0.1452 | 2.13 | 0.1156 |
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 = 0.1477 - 0.1469 = 0.0008
Récompense (distance jusqu'au take profit):
E - TP = 0.1469 - 0.1452 = 0.0017
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0017 / 0.0008 = 2.125
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1409.9581 | 100 | 9598.081 | 14.10 |
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 / 0.0008 = 10000
Taille de position USD = 10000 x 0.1469 = 1469
Donc, tu peux acheter 10000 avec un stoploss a 0.1477
Avec un position size USD de 1469$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 10000 x 0.0008 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 10000 x 0.0017 = 17
Si Take Profit atteint, tu gagneras 17$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.16 % | 16.32 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.54 % | 7.68 $ |
| PNL | PNL % |
|---|---|
| -7.68 $ | -0.54 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5446 % | 100 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1452
[entry_price] => 0.1469
[stop_loss] => 0.14778
[rr_ratio] => 1.93
[sl_change_percentage] => 1.1
[closed_at] => 2025-11-20 18:35:00
[result] => win
)
[1.2] => Array
(
[take_profit] => 0.1452
[entry_price] => 0.1469
[stop_loss] => 0.14786
[rr_ratio] => 1.77
[sl_change_percentage] => 1.2
[closed_at] => 2025-11-20 18:35:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 0.1452
[entry_price] => 0.1469
[stop_loss] => 0.14794
[rr_ratio] => 1.63
[sl_change_percentage] => 1.3
[closed_at] => 2025-11-20 18:35:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.1452
[entry_price] => 0.1469
[stop_loss] => 0.1481
[rr_ratio] => 1.42
[sl_change_percentage] => 1.5
[closed_at] => 2025-11-20 18:35:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0032
[max_drawdown] => 0.0008
[rr_ratio] => 4
[high] => 0.14770000
[low] => 0.14370000
[mfe_pct] => 2.18
[mae_pct] => 0.54
[mfe_mae_ratio] => 4
[candles_analyzed] => 24
[start_at] => 2025-11-20T17:16:31-05:00
[end_at] => 2025-11-20T19:16:31-05:00
)
[long_term] => Array
(
[max_gain] => 0.0061
[max_drawdown] => 0.0008
[rr_ratio] => 7.63
[high] => 0.14770000
[low] => 0.14080000
[mfe_pct] => 4.15
[mae_pct] => 0.54
[mfe_mae_ratio] => 7.63
[candles_analyzed] => 84
[start_at] => 2025-11-20T17:16:31-05:00
[end_at] => 2025-11-21T00:16:31-05:00
)
[breakout] => Array
(
[high_before] => 0.14700000
[high_after] => 0.14770000
[low_before] => 0.14150000
[low_after] => 0.14080000
[is_new_high] =>
[is_new_low] => 1
)
)